CN114576152B

CN114576152B - Water pump state monitoring system, monitoring method and device, electronic equipment and medium

Info

Publication number: CN114576152B
Application number: CN202011399008.1A
Authority: CN
Inventors: 史立群; 俞方杰; 闵新勇; 徐兰
Original assignee: Grundfos Holdings AS
Current assignee: Grundfos Holdings AS
Priority date: 2020-12-01
Filing date: 2020-12-01
Publication date: 2024-01-16
Anticipated expiration: 2040-12-01
Also published as: CN114576152A

Abstract

The disclosure provides a water pump state monitoring system, a monitoring method, a monitoring device, electronic equipment and a medium, and relates to the technical field of water pump control. Wherein, water pump state monitoring system includes: the water pump controller is used for controlling the water pump to operate and outputting a first set of working condition data of the water pump; the sensor is arranged on the water pump and used for collecting a second set of working condition data of the water pump; the collector is electrically connected with the water pump controller and the sensor respectively and is used for receiving the first group of working condition data and the second group of working condition data; the collector executes primary diagnosis operation on the running state of the water pump based on the first set of working condition data and/or the second set of working condition data to obtain a primary diagnosis result; the monitoring system further comprises: the server is in communication connection with the collector and is used for receiving the primary diagnosis result sent by the collector and performing secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result. According to the technical scheme, the cooperative monitoring and diagnosis detection of the running states of the water pumps are realized.

Description

Water pump state monitoring system, monitoring method and device, electronic equipment and medium

Technical Field

The disclosure relates to the technical field of water pumps, in particular to a water pump state monitoring system, a water pump state monitoring method, a water pump state monitoring device, electronic equipment and a computer readable storage medium.

Background

The water pump is a key device in the aspects of commercial buildings, district heating, civil buildings, industrial processes, industrial equipment, municipal water supply, municipal sewage and the like, and if the water pump breaks down, the water pump can cause great loss.

In order to monitor the running state of the water pump, the working condition data of the water pump are collected by arranging sensors with different functions in different areas of the water pump, so as to detect whether running faults occur or not based on the working condition data.

Since a plurality of sensors are required to be arranged on a single water pump, if working conditions requiring the cooperative operation of the plurality of water pumps exist, all working condition data of the plurality of sensors on the plurality of water pumps need to be collected, so that the following defects exist:

all the working condition data acquired by the sensor have data irrelevant to the diagnosis of the operation faults of the water pump, and if fault diagnosis is carried out based on all the working condition data, the reliability of the diagnosis result can be affected.

It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

An object of the present disclosure is to provide a water pump condition monitoring system, apparatus, electronic device, and computer-readable storage medium, which overcome, at least to some extent, the problem of improving the reliability of fault diagnosis of a water pump in the related art.

Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.

According to an aspect of the present disclosure, there is provided a water pump condition monitoring system, including: the water pump controller is used for controlling the water pump to operate and outputting a first set of working condition data of the water pump; the sensor is arranged on the water pump and used for collecting a second group of working condition data of the water pump; the collector is respectively and electrically connected with the water pump controller and the sensor and is used for receiving the first group of working condition data and the second group of working condition data; the collector is further used for performing primary diagnosis operation on the running state of the water pump based on the first set of working condition data and/or the second set of working condition data to obtain a primary diagnosis result; the water pump state detection system further comprises a server; the server is in communication connection with the collector, and is used for receiving the primary diagnosis result sent by the collector, and performing secondary diagnosis operation on the running state according to the primary diagnosis result so as to obtain a secondary diagnosis result of the running state.

In one embodiment, the server is further configured to store historical operating condition data of the water pump and hardware data of the water pump, where the historical operating condition data includes a first set of historical operating condition data and a second set of historical operating condition data, set a diagnostic threshold based on the historical operating condition data and the hardware data, and send the diagnostic threshold to the collector; the collector is further configured to perform frequency-domain processing on the first set of working condition data and the second set of working condition data to obtain primary diagnosis data, and perform the primary diagnosis operation on the primary diagnosis data based on the diagnosis threshold to obtain the primary diagnosis result.

In one embodiment, the first set of operating condition data and/or the second set of operating condition data further includes a plurality of energy consumption parameters of the water pump; the collector is also used for receiving energy consumption parameters of a plurality of water pumps, and the running modes of the water pumps are configured based on the energy consumption parameters of the water pumps.

In one embodiment, the sensor comprises at least one of a vibration sensor, a temperature sensor, a flow sensor, a pressure sensor and a water level sensor, wherein the vibration sensor is mounted at least one of a base, an outer cylinder, a pump head, a supporting seat, a volute, a coupler and a motor of the water pump in a magnetic attraction, screw thread or adhesive mode.

In one embodiment, the collector is further configured to generate a first alarm signal based on the primary diagnosis result, and perform an alarm operation based on the first alarm signal; and/or the water pump state monitoring system further comprises a monitoring terminal, the monitoring terminal is in communication connection with the server, the server generates a second alarm signal based on the received primary diagnosis result and sends the second alarm signal to the monitoring terminal, and the server is further used for sending the secondary diagnosis result to the monitoring terminal.

According to another aspect of the present disclosure, there is provided a water pump state monitoring method, including: receiving a first set of working condition data output by a water pump controller and/or a second set of working condition data acquired by a sensor; performing primary diagnosis operation on the running state of the water pump based on the first set of working condition data and/or the second set of working condition data to obtain a primary diagnosis result; and sending the primary diagnosis result to a server so that the server performs secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result.

In one embodiment, the performing a primary diagnostic operation on the running state of the water pump based on the first set of operating condition data and/or the second set of operating condition data, to obtain a primary diagnostic result includes: receiving a diagnosis threshold sent by the server; performing frequency domain processing on the first set of working condition data and/or the second set of working condition data to obtain primary diagnosis data; and performing the primary diagnosis operation on the primary diagnosis data based on the diagnosis threshold value to obtain the primary diagnosis result.

In one embodiment, the first set of operating parameters and/or the second set of operating data further includes a plurality of energy consumption parameters of the water pump, the method further comprising: and configuring the operation modes of a plurality of water pumps based on the energy consumption parameters of the water pumps.

In one embodiment, before performing a primary diagnostic operation on the operating state of the water pump based on the first set of operating condition data and/or the second set of operating condition data, a primary diagnostic result is obtained, further comprising: collecting the first group of working condition data as historical first working condition data according to a preset collecting period, and collecting the second group of working condition data as historical second working condition data; and sending the historical first working condition data and the historical second working condition data to a server so that the server generates a historical fault library based on the historical first working condition data and the historical second working condition data.

In one embodiment, further comprising: and when the water pump is determined to be in fault based on the primary diagnosis result, generating a first alarm signal, and executing alarm operation based on the first alarm signal.

According to still another aspect of the present disclosure, there is provided a water pump state monitoring method including: receiving a primary diagnosis result sent by a collector, wherein the primary diagnosis result is generated based on primary diagnosis operation of the collector on the water pump; and performing secondary diagnosis operation on the running state of the water pump based on the primary diagnosis result to obtain a secondary diagnosis result of the running state.

In one embodiment, the primary diagnostic result includes a plurality of diagnostic information received in succession, and performing a secondary diagnostic operation on the operation state of the water pump based on the primary diagnostic result to obtain a secondary diagnostic result of the operation state includes: performing a merging operation on the plurality of diagnostic information to generate a secondary diagnostic event; and performing secondary diagnosis operation on the secondary diagnosis event based on a preset diagnosis model to obtain a secondary diagnosis result, wherein the diagnosis model comprises an expert diagnosis model and/or a vibration fault rule model.

In one embodiment, the receiving the primary diagnosis result sent by the collector further includes: receiving associated diagnosis information of the primary diagnosis result sent by the collector, wherein the associated diagnosis information comprises a first group of working condition data and/or a second group of working condition data in a period adjacent to the receiving time of the primary diagnosis result; and generating a diagnosis waveform curve based on the primary diagnosis result and the associated diagnosis information.

In one embodiment, each of the diagnostic information corresponds to one of the diagnostic waveform curves, and the performing a merging operation on the plurality of diagnostic information to generate a secondary diagnostic event includes: and performing superposition operation on the time domains on the plurality of diagnosis waveform curves to obtain a superposition waveform curve so as to represent the secondary diagnosis event by adopting the superposition waveform curve.

In one embodiment, the vibration fault rule model includes a historical fault library and a diagnosis rule library, the fault of the water pump includes a vibration fault, and the performing the secondary diagnosis operation on the secondary diagnosis event based on the preset diagnosis model to obtain the secondary diagnosis result includes: extracting a fault characteristic curve matched with the superimposed waveform curve from the historical fault library; performing fault detection processing on the fault characteristic curve based on the diagnosis rule base so as to determine a detection result of the vibration fault; the secondary diagnosis result is generated based on the detection result of the vibration failure.

In one embodiment, the vibration fault includes at least one of a bearing fault, a balance fault, a centering fault, a cavitation fault, a water hammer fault, and an impeller fault, and the fault characteristic curve is subjected to fault detection processing based on the diagnosis rule base to determine a detection result of the vibration fault includes: detecting the bearing fault based on the kurtosis of the fault signature waveform; and/or performing Fourier transform on waveform frequency of the fault characteristic curve waveform to obtain a conversion parameter, and detecting the balance fault and/or the centering fault based on the conversion parameter; and/or detecting the cavitation fault and/or the water hammer fault based on a waveform frequency of the fault profile waveform; and/or detecting an impeller failure of the water pump based on the number of impeller blades.

In one embodiment, the generating the secondary diagnosis result based on the detection result of the vibration failure includes: when detecting the detection results of a plurality of vibration faults, calculating the confidence coefficient of the detection result of each vibration fault; and determining the detection result of the vibration fault with the highest confidence as the secondary diagnosis result.

In one embodiment, further comprising: pushing the secondary diagnosis result to an adaptive monitoring terminal.

According to still another aspect of the present disclosure, there is provided a water pump state monitoring device including: the receiving module is used for receiving the first group of working condition data output by the water pump controller and/or the second group of working condition data acquired by the sensor; the pre-diagnosis module is used for executing primary diagnosis operation on the running state of the water pump based on the first set of working condition data and/or the second set of working condition data to obtain a primary diagnosis result; and the sending module is used for sending the primary diagnosis result to a server so that the server can perform secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result.

According to still another aspect of the present disclosure, there is provided a water pump state monitoring device including: the receiving module is used for receiving the primary diagnosis result sent by the collector, and the primary diagnosis result is generated based on the primary diagnosis operation of the collector on the water pump; and the secondary diagnosis module is used for performing secondary diagnosis operation on the running state of the water pump based on the primary diagnosis result so as to obtain a secondary diagnosis result of the running state.

According to still another aspect of the present disclosure, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any of the above water pump condition monitoring systems via execution of the executable instructions.

According to a seventh aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the water pump condition monitoring system of any one of the above.

The water pump state monitoring system and method provided by the embodiment of the disclosure, through setting up the collector which establishes connection relation with the water pump controller, the sensor and the server respectively, the collector generates failure monitoring data based on the first set of working condition data sent by the water pump controller and/or the second set of working condition data sent by the sensor, and sends the primary diagnosis result to the server,

(1) The collector can be used for receiving and summarizing working condition data of a plurality of water pumps, and further, the generated primary diagnosis results are combined, so that the collaborative monitoring and diagnosis of the running states of a plurality of water pumps are realized.

(2) The primary diagnosis result generated on the collector can realize the detection of whether the collector fails to the water pump or not, so that the response can be timely carried out when the water pump such as vibration and the like fails.

(3) The primary diagnosis result obtained based on the first set of working condition data and/or the second set of working condition data sent by the sensor can also realize screening and preprocessing before the data are sent to the server, so that the pressure of data transmission between the server and the server is reduced, and the delay of the server in receiving and judging invalid data is reduced.

(4) Further, the secondary diagnosis operation based on the primary diagnosis result is completed through the server, and a more detailed secondary diagnosis result is obtained, so that the manufacturing cost and the operation power consumption of the collector are reduced.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.

FIG. 1 is a schematic diagram of a system configuration of a water pump condition monitoring system according to an embodiment of the present disclosure;

FIG. 2 illustrates a block diagram of a water pump condition monitoring system in an embodiment of the present disclosure;

FIG. 3 illustrates a block diagram of another water pump condition monitoring system in an embodiment of the present disclosure;

FIG. 4 illustrates a block diagram of yet another water pump condition monitoring system in an embodiment of the present disclosure;

FIG. 5 illustrates a flow chart of a method of monitoring a water pump condition in an embodiment of the present disclosure;

FIG. 6 illustrates a flow chart of another method of monitoring the condition of a water pump in an embodiment of the present disclosure;

FIG. 7 is a flow chart illustrating yet another method of monitoring water pump status in an embodiment of the present disclosure

FIG. 8 is a flow chart illustrating yet another method of monitoring water pump status in an embodiment of the present disclosure

FIG. 9 shows a flow chart of yet another method of monitoring water pump status in an embodiment of the present disclosure

FIG. 10 illustrates a waveform diagram of time domain vibration of a water pump in an embodiment of the present disclosure;

fig. 11 shows a normal point waveform spectrum corresponding to fig. 10;

FIG. 12 shows a plot of outlier waveforms corresponding to FIG. 10;

FIG. 13 shows a schematic diagram of a water pump condition monitoring device in an embodiment of the present disclosure;

FIG. 14 illustrates a schematic diagram of another water pump condition monitoring device in an embodiment of the present disclosure;

fig. 15 shows a schematic diagram of an electronic device in an embodiment of the disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

The water pump state monitoring system and the water pump state monitoring method can monitor the running state of the water pump, and can realize the functions of comparison and analysis operation of the running trend of the water pump based on a cloud platform such as a server, energy consumption analysis and optimization of the water pump system, maintenance planning of the water pump based on the cloud platform, life analysis and the like by sending data including but not limited to primary diagnosis information to the server.

In addition, the water pump state monitoring system and method based on the limitation of the disclosure can also be applied to the water supply industry through monitoring the running state of the water pump, and operations such as water trend analysis, water supply water quality cloud platform monitoring and the like can be performed based on the freezing/cooling water quality cloud monitoring platform.

Fig. 1 shows a schematic diagram of a water pump condition monitoring system in an embodiment of the disclosure, including:

the water pump controller 140 is configured to control the water pump 120 to operate, and output a first set of operating mode data of the water pump 120.

The water pump controller 140 may be installed on the water pump 120, and the water pump controller 140 may be a water pump unit controller, where the water pump unit controller is used to control a water pump with multiple motor drivers, and may also be a motor driver to directly drive the motor to run.

The water pump controller 140 establishes a wireless transmission channel with the collector 180 through wireless connection modes such as infrared connection, bluetooth connection, local area network connection and the like, and sends first working condition data to the collector 180 based on the wireless transmission channel.

In addition, the water pump controller 140 may also obtain a first set of operating condition data of the water pump 120, including, but not limited to, current, voltage, rotational speed of the motor 1208, energy consumption of the water pump 120, operating time, temperature of the motor 1208, and the like.

The sensors 160 are disposed on the water pumps 120 and are configured to collect a second set of operating condition data of the water pumps 120, where at least one sensor 160 is disposed on each water pump 120.

Types of sensors 160 include, but are not limited to:

the wired vibration sensor 260 shown in fig. 2, the wireless vibration sensor 360 shown in fig. 3, and the temperature sensor 466, the flow sensor 462, the pressure sensor 464, the water level sensor (not shown) shown in fig. 4, etc.,

the wired vibration sensor 260 in fig. 2 is connected to the wireless vibration sensor 360 in fig. 3 in a data transmission manner as a distinguishing point, the wired vibration sensor 260 is provided with a wired socket, and the wireless vibration sensor 360 is provided with a wireless transmission module.

In addition, the data acquisition mode is taken as a distinguishing point, and the vibration sensor comprises, but is not limited to, a mechanical vibration sensor, an optical vibration sensor, an electrical measurement vibration sensor and the like.

Accordingly, the second set of operating condition data includes, but is not limited to, vibration signals, temperature signals, flow signals, pressure signals, water level signals, and the like.

The method for acquiring the first set of working condition data and the second set of working condition data can divide the working condition data into four types, including: vibration data, process data, electrical appliance data and oil data.

And the first set of operating condition data is output by the water pump controller 140, which is also beneficial to reducing the set of sensors 160 that collect such operating condition data.

The collector 180 is electrically connected to the water pump controller 140 and the sensor 160, and is configured to receive the first set of operating mode data and the second set of operating mode data.

The collector 180 is further configured to perform a primary diagnosis operation on the operation state of the water pump 120 based on the first set of operating condition data and/or the second set of operating condition data, so as to obtain a primary diagnosis result.

The running state of the water pump comprises the running states of a bearing, an impeller, a shaft seal and a motor.

The collector 180 is provided with a wireless transmission module, such as a Wi-Fi module, a GPRS module, etc., and is connected to the controller and the sensor 160 through a wireless connection, and the collector 180 communicates with the water pump controller 140 through a Modbus-RTU communication protocol, a ModbusTCP communication protocol, a TCP/IP protocol, etc.

Or the collector 180 is provided with a wired transmission interface, and is connected with the controller and the sensor 160 through wired connection.

Or the collector 180 is provided with a wireless transmission module and a wired transmission interface at the same time, and is connected with one of the controller and the sensor 160 through a wired connection and is connected with the other of the controller and the sensor 160 through a wireless connection.

Where the water pump controller 140 is a crew controller, the crew controller may control the operation of one or more water pumps 120.

When the water pump controller 140 is a motor driver, each motor driver correspondingly controls one water pump 120, and the plurality of controllers are connected with the collector 180 to realize the receiving of the first set of working condition parameters and the second set of working condition parameters of the plurality of water pumps 120.

Further, the collector 180 may perform the first diagnosis operation based on the first set of operating condition data only, may perform the first diagnosis operation based on the second set of operating condition data only, and may perform the first diagnosis operation based on the first set of operating condition data and the second set of operating condition data.

The primary diagnosis operation may include various embodiments, and one embodiment is a preprocessing operation for working condition data, that is, filtering out interference data based on a filtering operation to obtain a primary diagnosis result, if the obtained primary diagnosis result is obvious that there is an abnormality, directly generating an early warning signal by the collector 180, and further sending the primary diagnosis result to the server 200, and performing specific fault diagnosis by the server 200 to complete the primary diagnosis operation in this manner.

Another way is that the pre-diagnosis model is pre-stored in the collector 180, and is used for detecting the operation fault affecting the safety of the water pump 120, the collected first set of working condition data and/or second set of working condition data are input into the pre-diagnosis model to obtain the pre-diagnosis result, if the pre-diagnosis result is abnormal, the pre-diagnosis result is sent to the second server 200 as the primary diagnosis result, so that the second server 200 can further detect the generation cause of the operation fault and other potential operation faults based on the primary diagnosis result.

In addition, based on the four types of the working condition data, the collected first group of working condition data and/or the second group of working condition data are clustered to obtain working condition data to be processed, and a primary diagnosis result is obtained by combining primary diagnosis operation.

Or, carrying out fusion processing on all the first group of working condition data and/or the second group of working condition data to obtain multi-source comprehensive working condition data, and combining the primary diagnosis operation to obtain a primary diagnosis result.

Based on the above description, as shown in fig. 1, the collector 180 may be directly connected to the water pump controller 140 and the sensor 160, and upload the data to the cloud server 200 to monitor, diagnose and analyze together with the sensor 160 data collected and uploaded by the collector 180, so as to make optimization suggestions.

The monitoring system further includes a server 200, the server 200 being communicatively coupled to the collector 180.

In order to establish a wireless transmission link with the corresponding server 200, the collector 180 sets up a wireless transmission module to perform wireless communication by establishing a wireless transmission link with the server 200.

The server 200 is specifically configured to receive the primary diagnosis result sent by the collector 180, and perform a secondary diagnosis operation on the running state according to the primary diagnosis result, so as to obtain a secondary diagnosis result of the running state.

The secondary diagnostic operations include, but are not limited to, fault diagnosis of unbalance operation of the water pump 120, fault diagnosis of misalignment of the coupling of the water pump 120, diagnosis of bearing faults, diagnosis of impeller faults, diagnosis of cavitation faults, diagnosis of water hammer faults, diagnosis of dry rotation faults, and the like.

The server 200 can more precisely determine the components that have failed and the cause of the failure by receiving the primary diagnosis result, detecting the operation state of the water pump 120, finding out the bad phenomenon in time, and issuing an alarm in comparison with the primary diagnosis operation, and performing the secondary diagnosis operation at the server 200 side.

In this embodiment, by providing the collector 180 that respectively establishes a connection relationship with the water pump controller 140, the sensor 160 and the server 200, the collector 180 generates a primary diagnosis result based on the first set of working condition data sent by the water pump controller 140 and/or the second set of working condition data sent by the sensor 160, and sends the primary diagnosis result to the server 200, on the one hand, the collector 180 is configured to enable the receiving and summarizing of the working condition data of the plurality of water pumps 120, and further, in combination with the generated primary diagnosis result, enable the collaborative monitoring and diagnosis of the running states of the plurality of water pumps 120, and on the other hand, the primary diagnosis result generated on the collector 180 is configured to enable the collector 180 to detect whether the water pump has failed, so as to enable timely response when the water pump fails such as vibration are detected, and on the other hand, the primary diagnosis result obtained based on the first set of working condition data and/or the second set of working condition data sent by the sensor can also enable the screening and preprocessing before sending the data to the server 200, thereby being beneficial to reduce the pressure of data transmission between the server 200 and the receiving and delay of the invalid working condition data.

Further, the secondary diagnosis operation based on the primary diagnosis result is completed through the server 200, and a more detailed secondary diagnosis result is obtained, which is advantageous in reducing the manufacturing cost and the operation power consumption of the collector 180.

In one embodiment, server 200 is further configured to store historical operating condition data of the water pump and hardware data of the water pump, the historical operating condition data including a historical first set of operating condition data and a historical second set of operating condition data, set a diagnostic threshold based on the historical operating condition data and the hardware data, and send the diagnostic threshold to collector 180.

The hardware data includes, but is not limited to, static data input in advance, such as calculating an index threshold value based on the model of the water pump, the installation condition and the type of the bearing.

In addition, based on the national vibration standard of the water pump, the vibration threshold value is determined according to the installation height and the model.

The first set of operating condition data and the historical second set of operating condition data need to be adjusted by combining the index threshold and the vibration threshold to determine a diagnosis threshold.

The historical operating condition data of the water pump 120 is a first set of operating condition data and a second set of operating condition data received prior to the current operating time, including operating condition data received during a historical operating phase of the water pump 120 prior to the current operating time, and operating condition parameters received prior to the current operating time during the current operating phase of the water pump 120.

In addition, the server can also adjust the diagnosis threshold based on the self-adaptive threshold algorithm, and send the adjusted diagnosis threshold to the collector to update and replace the original preset threshold.

A first way of setting a diagnostic threshold based on historical operating condition data, comprising: firstly, working condition data are classified to obtain a plurality of types of diagnosis data, such as the vibration data, the process data, the electrical appliance data and the oil data, and then clustering operation is carried out on each type of diagnosis data to obtain a diagnosis threshold value of each type of working condition data.

A second way of setting a diagnostic threshold based on historical operating condition data, comprising: and carrying out fusion processing on all the historical working condition data to obtain multi-source historical comprehensive working condition data, and carrying out clustering operation on the historical comprehensive working condition data to obtain a comprehensive diagnosis threshold value.

The collector 180 is further configured to perform frequency-domain processing on the first set of operating condition data and the second set of operating condition data to obtain primary diagnosis data, and perform a primary diagnosis operation on the primary diagnosis data based on a diagnosis threshold value to obtain a primary diagnosis result.

One implementation of performing the first diagnosis operation on the first set of operating condition data and/or the second set of operating condition data based on the diagnosis threshold value includes classifying the first set of operating condition data and/or the second set of operating condition data, or after fusing, comparing the first set of operating condition data and/or the second set of operating condition data with the diagnosis threshold value, and if the first set of operating condition data and/or the second set of operating condition data are not within a threshold value interval of the diagnosis threshold value, determining that the first set of operating condition data and/or the second set of operating condition data is the first diagnosis result.

In this embodiment, the first set of working condition data and/or the second set of working condition data are subjected to frequency-domain processing (including integration, fourier transform, and the like) to obtain primary diagnosis data, and primary diagnosis operation is performed on the primary diagnosis data based on a diagnosis threshold value to obtain a primary diagnosis result, so that pre-diagnosis operation of the collector end is realized, and reliability of the primary diagnosis result is guaranteed.

In one embodiment, the first set of operating condition data and/or the second set of operating condition data includes flow and lift, and the pump controller 140 is further configured to output a flow lift curve for the pump 120 when the pump unit controller is employed as the pump controller.

The collector 180 is further configured to obtain a flow head curve, and when one of the flow and the head is received, determine the other of the flow and the head based on the flow head curve.

In this embodiment, the collector 180 acquires the water pump performance curve including the flow head curve stored in the controller, so that as long as one of the flow and the head can be received, the other data can be calculated based on the flow head curve, and the setting of the flow sensor 462 or the pressure sensor 464 can be reduced while ensuring the data acquisition reliability.

In one embodiment, the first set of operating condition data and/or the second set of operating condition data further includes energy consumption parameters of the plurality of water pumps 120.

The energy consumption parameter is used for reflecting a data index of energy consumption and can be obtained by calculating received voltage data and current data.

The collector 180 is further configured to receive energy consumption parameters of the plurality of water pumps 120, and configure an operation mode of the plurality of water pumps 120 based on the energy consumption parameters of the plurality of water pumps 120.

In this embodiment, the collector 180 may extract the energy consumption parameters in the first set of working condition data and/or the second set of working condition data, and compare the energy consumption parameters between the plurality of water pumps 120, so as to determine the water pump 120 with relatively low energy consumption, and further, under the condition that the operation requirement of the water pump 120 is met, configure the operation modes of the corresponding plurality of water pumps 120 based on the energy saving measures, so as to determine the water pump 120 to be started, so as to implement an energy saving scheme based on the collector 180, and control the operation of the corresponding water pump 120 based on the energy saving scheme.

For example, as shown in fig. 1, the plurality of water pumps 120 include a No. 1 water pump 120, a No. 2 water pump 120 and a No. 3 water pump 120, and as shown in fig. 13, if the collector 180 detects that the energy consumption is significantly better than that of the plurality of water pumps 120 in the parallel operation mode in the single water pump 120 operation mode, the operation mode of the single No. 3 water pump 120 is executed, and if the collector 180 detects that the running performance of the No. 1 water pump 120 and the No. 2 water pump 120 is higher than that of the No. 3 water pump 120 in the 3 water pumps 120 with the same model, when the plurality of water pumps 120 are required to run in parallel, the No. 1 water pump 120 and the No. 2 water pump 120 are preferentially operated under the condition that the working condition requirement is satisfied.

In addition, as shown in fig. 2 and 4, the collector 280 may also be connected to the SCADA system 220 (Supervisory Control And Data Acquisition system, i.e. a data collection and monitoring control system) to implement linkage control with the working condition site.

Specifically, the sensor 160 is mounted at least one of the water pumps 120 by magnetic attraction, threads, or gluing.

As shown in fig. 2, the collector 280 is independently provided outside the water pump 120.

As one arrangement of the wired vibration sensor 260, if one wired vibration sensor 260 is provided, the wired vibration sensor 260 is provided on one of the water pump base 1022, the water pump outer tube 1204, the water pump head 1206, the motor 1208, and the coupling 1210.

As another arrangement mode of the wired vibration sensor 260, if a plurality of wired vibration sensors 260 are arranged, the plurality of wired vibration sensors 260 are respectively arranged on the water pump base 1022, the water pump outer cylinder 1204, the water pump head 1206, the motor 1208 and the coupling 1210, so that the vibration working condition of the water pump 120 can be more accurately reflected based on the vibration data by collecting the vibration data of different positions of the water pump 120.

As shown in fig. 2, the wired vibration sensor 260 may be mounted at a coupling 1210, a motor 1208, and the like. The water pump controller 140 controls the operation of one or more water pumps 120, and the collector 280 may receive the wired vibration sensor 260 and the operating condition data in the water pump controller 140, respectively.

As shown in fig. 2, the vibration sensor is a wired vibration sensor 260, and the collector 280 filters and uploads signals, such as electromagnetic environment interference data, to ensure that the data is correctly stable.

As shown in fig. 3, the vibration sensor may also be a wireless vibration sensor 360, and as a preferred arrangement, the wireless vibration sensor 360 is disposed on the motor 1208 and/or the water pump support 1212, and the collector 380 may be integrated inside the wireless vibration sensor 360, so that in fig. 3, only the wireless vibration sensor 360 is visible, the collector 380 inside the wireless vibration sensor 360 performs pre-diagnosis on the second set of operating condition data received by the wireless vibration sensor 360 and the first set of operating condition data received by wireless communication with the water pump controller 140, and then generates a primary diagnosis result, and uploads the primary diagnosis result to the server 200.

The wireless vibration sensor 360 has a battery built therein, and supplies power to the internal collector 380, the arithmetic chip, the wireless communication module, and the like.

The wireless vibration sensor 360 also has the characteristics of convenient deployment, explosion prevention and the like, on one hand, the conventional project improvement is convenient, the wireless vibration sensor is particularly suitable for a scene with low space requirement and quick implementation requirement, and on the other hand, the wireless vibration sensor can be used for severe working condition environments, such as: boiler rooms, gas rooms, etc.

In addition to the wired vibration sensor 260 shown in fig. 2 and the wireless vibration sensor 360 shown in fig. 3, the sensors also include a flow sensor 462, a pressure sensor 464, a temperature sensor 466, and the like, as shown in fig. 4, wherein the flow sensor 462 and the pressure sensor 464 may be installed at a water pump outlet 1216, the water pump outlet 1216 is provided on the water pump volute 1214, and the temperature sensor 466 may be provided on an outer wall of the motor 1208. The flow sensor 462, the pressure sensor 464 and the temperature sensor 466 are all connected to the collector 480 to send the collected flow condition data, water flow pressure condition data and temperature condition data to the collector 480.

In addition, the water pump has bearings or other component sensors, and may also be connected to the data collector 480.

Upon determining that a fault is generated based on the primary diagnostic result, the system includes, but is not limited to, the following alarm means:

in a first manner, the collector is further configured to generate a first alarm signal based on the primary diagnosis result, and perform an alarm operation based on the first alarm signal.

In a second mode, the water pump state monitoring system further comprises a monitoring terminal, the monitoring terminal is in communication connection with the server, the server generates a second alarm signal based on the received primary diagnosis result and sends the second alarm signal to the monitoring terminal, and the server is further used for sending the secondary diagnosis result to the monitoring terminal.

Next, each step in the water pump condition monitoring method in the present exemplary embodiment will be described in more detail with reference to the drawings and examples.

Fig. 5 shows a flow chart of a water pump condition monitoring method in an embodiment of the present disclosure.

As shown in fig. 5, the collector performs a water pump state monitoring method, including:

step S502, a first set of working condition data output by a water pump controller and/or a second set of working condition data acquired by a sensor are received.

Wherein the first set of operating condition data and the second set of operating condition data are described in the foregoing, and are not limited thereto.

Step S504, performing primary diagnosis operation on the running state of the water pump based on the first set of working condition data and/or the second set of working condition data to obtain a primary diagnosis result.

The primary diagnosis operation is used for detecting whether faults occur or not and for data screening.

And step S506, the primary diagnosis result is sent to the server, so that the server performs secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result.

In this embodiment, through setting up the collector that establishes relation with water pump controller, sensor and server respectively, the collector is based on the first set of operating mode data and/or the second set of operating mode data that the sensor sent of water pump controller, generate first diagnosis result, and send first diagnosis result to the server, on the one hand, the setting up of collector can realize the receipt and the summarization of operating mode data of a plurality of water pumps, further, combine the first diagnosis result that generates, realize the collaborative monitoring and the diagnosis to the running state of a plurality of water pumps, on the other hand, first diagnosis result is the diagnosis data that is used for monitoring whether there is the failure condition of water pump, through sending first diagnosis result to the server, combine the characteristics that the server can collect big data, can guarantee the accuracy of server to water pump state diagnosis, on the other hand, only send first diagnosis result to the server through controlling the collector end, also be favorable to reducing the pressure with the server to the data transmission, reduce the receipt of server to the invalid data.

In one embodiment, performing a primary diagnostic operation on an operating condition of the water pump based on the first set of operating condition data and/or the second set of operating condition data, the obtaining a primary diagnostic result includes: receiving a diagnosis threshold sent by a server; carrying out frequency domain processing on the first group of working condition data and/or the second group of working condition data to obtain primary diagnosis data; and performing primary diagnosis operation on the primary diagnosis data based on the diagnosis threshold value to obtain a primary diagnosis result.

In one embodiment, before performing the primary diagnostic operation on the operating condition of the water pump based on the first set of operating condition data and/or the second set of operating condition data to obtain the primary diagnostic result, the method further comprises: collecting a first group of working condition data as historical first working condition data according to a preset collection period, and collecting a second group of working condition data as historical second working condition data; and sending the historical first working condition data and the historical second working condition data to the server so that the server generates a historical fault library based on the historical first working condition data and the historical second working condition data. In this embodiment, the first set of operating condition data and the second set of operating condition data are periodically received, the first set of operating condition data and the second set of operating condition data acquired in a preset number of periods are used as historical operating condition data, and duration operating condition data are sent to the server, so that the server obtains a historical fault library based on the historical operating condition data, and fault monitoring operation is further performed based on the historical fault library.

In one embodiment, the first set of operating condition data and/or the second set of operating condition data includes flow and water pump, the method further comprising: upon receiving one of the flow or the head of the water pump, the other of the flow or the head is determined based on the acquired flow head curve.

In this embodiment, the collector acquires the water pump performance curve including the flow head curve stored in the controller, so that as long as one data of the flow and the head can be received, the other data can be calculated based on the flow head curve, and the setting of the flow sensor or the pressure sensor can be reduced while the reliability of data acquisition is ensured.

In one embodiment, the second set of operating condition data further includes a plurality of energy consumption parameters of the water pump, the method further comprising: the operating modes of the plurality of water pumps are configured based on the energy consumption parameters of the plurality of water pumps.

The primary diagnostic operations of the collector may include, in particular, the following process state monitoring operations and alarm management operations.

The method comprises the steps of generating fusion data, wherein the fusion data is used as an implementation mode of process state monitoring operation and alarm management operation, and performing primary diagnosis operation on the overall running state of the water pump.

Specifically, the first set of working condition data and the second set of working condition data are classified by vibration data, process data, electric appliance data and oil data, a weight value is given to each type of data, the data of the types are fused based on the weight values, fusion data are obtained, the fusion data are used as multi-source comprehensive indexes, and the overall running state of the water pump is diagnosed in real time based on the multi-source comprehensive indexes.

Correspondingly, the diagnosis threshold corresponding to the fusion data is also a fusion threshold, and diagnosis of different running states of the water pump is obtained by comparing the relation between the fusion data and the fusion threshold.

The fusion threshold can be automatically generated after self-learning according to the operation condition of the water pump.

As another embodiment of the process condition monitoring operation and the alarm management operation, vibration data associated with vibrations is extracted from the first set of operating condition data and the second set of operating condition data to generate a vibration index to detect a vibration condition of the water pump based on the vibration index.

Accordingly, the diagnosis threshold corresponding to the vibration index is a vibration diagnosis threshold, and the diagnosis of the vibration state of the water pump is obtained by comparing the relationship between the vibration index and the vibration diagnosis threshold.

In one embodiment, further comprising: when the water pump is determined to be in fault based on the primary diagnosis result, a first alarm signal is generated, and alarm operation is performed based on the first alarm signal.

As shown in fig. 6, one specific setting method as the diagnostic threshold value includes:

in step S602, the water pump is started to operate.

Step S604, detecting that the water pump enters a stable running state, and receiving the first set of working condition data and the second set of working condition data according to a preset detection period.

In step S606, when the number of detection periods is detected to reach the preset number, the received first set of working condition data is determined as the historical first set of working condition data, and the second set of working condition data is determined as the historical second set of working condition data.

Step S608, detecting that the quality of the working condition data meets the calculation requirement, and setting a diagnosis threshold based on the historical working condition data of the water pump.

As yet another embodiment of the process condition monitoring operation and the alarm management operation, each known fault type is monitored in an index manner, and a diagnosis threshold is used as a detection threshold to realize the pre-diagnosis of the fault condition of the water pump.

Further, the collector can integrate an early warning program, the early warning program comprises threshold early warning and trend early warning, wherein the threshold early warning program comprises: when the working condition data is detected to exceed the diagnosis threshold value, fault early warning is executed, and the trend early warning program comprises the following steps: and when the fault trend is detected, early warning is performed in advance.

Fig. 7 shows a flow chart of a water pump condition monitoring system in an embodiment of the present disclosure.

As shown in fig. 7, the server performs a water pump status monitoring method, including:

step S702, receiving a primary diagnosis result sent by the collector, where the primary diagnosis result is generated based on a primary diagnosis operation of the collector on the water pump.

Step S704, performing a secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result to obtain a secondary diagnosis result of the operation state.

The secondary diagnostic results include, but are not limited to, specific types of faults, specific components that produce the fault, and the like.

In this embodiment, by receiving the primary diagnosis result at the server, the secondary diagnosis operation based on the primary diagnosis result is completed, and a more detailed secondary diagnosis result is obtained, which is advantageous in reducing the manufacturing cost and the operation power consumption of the collector.

In one embodiment, the primary diagnostic result includes a plurality of continuously received diagnostic information, and performing a secondary diagnostic operation on the operating state of the water pump based on the primary diagnostic result to obtain a secondary diagnostic result of the operating state includes: performing a merging operation on the plurality of diagnostic information to generate a secondary diagnostic event; and performing secondary diagnosis operation on the secondary diagnosis event based on a preset diagnosis model to obtain a secondary diagnosis result, wherein the diagnosis model comprises an expert diagnosis model and/or a vibration fault rule model.

In this embodiment, a continuous plurality of diagnostic information generated by the collector (e.g., alarms less than 5 minutes apart, limited to single sensor data) is used to facilitate the server to diagnose specific vibration fault information based on the plurality of diagnostic information.

In one embodiment, receiving the primary diagnosis result sent by the collector further includes: receiving associated diagnosis information of the primary diagnosis result sent by the collector, wherein the associated diagnosis information comprises a first group of working condition data and/or a second group of working condition data in a period adjacent to the receiving time of the primary diagnosis result; a diagnostic waveform curve is generated based on the primary diagnostic result and the associated diagnostic information.

In one embodiment, each diagnostic information corresponds to a diagnostic waveform profile, and performing a merge operation on the plurality of diagnostic information to generate a secondary diagnostic event comprises: and performing superposition operation on the multiple diagnosis waveform curves in the time domain to obtain a superposition waveform curve so as to represent a secondary diagnosis event by adopting the superposition waveform curve.

In one embodiment, the vibration fault rule model includes a historical fault library and a diagnosis rule library, the fault of the water pump includes a vibration fault, performing a secondary diagnosis operation on a secondary diagnosis event based on a preset diagnosis model, and obtaining a secondary diagnosis result includes: extracting a fault characteristic curve matched with the superimposed waveform curve from a historical fault library; performing fault detection processing on the fault characteristic curve based on the diagnosis rule base to determine a detection result of the vibration fault; and generating a secondary diagnosis result based on the detection result of the vibration fault.

In one embodiment, further comprising: pushing the secondary diagnosis result to the adaptive monitoring terminal.

And (3) carrying out primary judgment on each data, and giving out the threshold interval corresponding probability of each variable according to expert experience. The diagnostic results are given in a probability maximum, confidence ranking from high to low.

The failure type corresponds to a set of failure monitoring parameters, and based on the failure monitoring parameters, failure diagnosis of unbalance operation of the water pump, failure diagnosis of misalignment of a coupling of the water pump, diagnosis of bearing failure, diagnosis of impeller failure, diagnosis of cavitation failure, diagnosis of water hammer failure, diagnosis of dry rotation failure, and the like are performed.

Specifically, as shown in fig. 8, the server executes a method for monitoring the state of the water pump, and further includes:

step S802, receiving the primary diagnosis result sent by the collector.

Step S804, configuring a rotational speed waveform of the water pump based on the primary diagnosis result.

Step S806 detects a bearing failure based on the kurtosis of the rotational speed waveform.

Step S808, performing Fourier transform on the waveform frequency of the rotational speed waveform to obtain a conversion parameter, and detecting a balance fault and/or a centering fault based on the conversion parameter.

Step S810, detecting cavitation fault and/or water hammer fault based on waveform frequency of rotational speed waveform.

Step S812, determining the number of impeller blades of the water pump based on the primary diagnosis result.

Step S814, detecting an impeller failure of the water pump based on the number of impeller blades.

In step S816, a plurality of confidence levels of the diagnosis faults are calculated.

Step S818, sorting the plurality of diagnosis faults according to the confidence level, and pushing the sorting result to the adaptive monitoring terminal.

Specifically, the motor speed of the received failure monitoring parameter may be used as diagnostic data.

And carrying out Fourier transform on the frequency of the waveform corresponding to the motor rotation speed to obtain time-frequency domain information of the vibration signal, and diagnosing unbalanced faults and unbalanced faults based on the time-frequency domain information.

In addition, the kurtosis of the waveform corresponding to the motor rotation speed is detected, and the fault of the bearing is detected based on the kurtosis.

And judging the impeller faults according to the number of the impeller blades.

If the waveform corresponding to the motor rotation speed is detected to have a high-frequency waveform, judging that cavitation fault occurs, and if the waveform has a low-frequency waveform, judging that water hammer fault occurs.

The following describes a water pump state monitoring scheme further by combining data interaction between the collector and the server, and the water pump state monitoring method further comprises the following steps:

in step S902, the collector receives the first set of operating parameters and the second set of operating parameters.

In step S904, the collector receives the diagnostic threshold sent by the server.

Step S906, performing primary diagnosis operation on the first set of working condition parameters and the second set of working condition parameters based on the diagnosis threshold and the pre-diagnosis model.

Step S908, generating a primary diagnosis result, and performing abnormality detection and early warning operation based on the primary diagnosis result.

Step S910, fusion operation is performed on the primary diagnosis results, and the fused primary diagnosis results are sent to the server.

In step S912, the server generates an event to be diagnosed based on the primary diagnosis result.

Step S914, performing a secondary diagnosis operation on the time to be diagnosed based on the expert experience.

Step S916, performing a secondary diagnosis operation on the time to be diagnosed based on the preset rule.

Step S918, obtaining a secondary diagnosis result.

For the fault handling mode, the server side may perform the following operations:

and performing fault diagnosis aiming at threshold alarming based on a fault diagnosis result, and giving a fault diagnosis report including fault positions, fault reasons, fault influences, fault treatment suggestions and the like.

Based on the water pumps with different models, different fault diagnosis algorithms are set so as to realize the self-adaptive adjustment of the diagnosis operation.

In addition, through setting up a plurality of different types of sensors on the water pump to gather different kinds of operating mode data, make fault diagnosis algorithm can also carry out self-adaptation adjustment based on the different operating modes of water pump, for example along with the change of water pump rotational speed and flow, self-adaptation adjustment fault diagnosis algorithm.

In addition, a fault library can be arranged at the server side, fault diagnosis is based on the fault library, and the fault library comprises information such as fault characterization, fault reasons, influences, processing suggestions and the like of typical faults.

The fault library can also have a management function and support operations such as checking, adding, editing and deleting faults.

On the premise of performing fault diagnosis based on the server, a work order needs to be opened by a third-party work order system after forming fault processing suggestions, the system has a work order state tracking function, and a fault database can be updated and adjusted according to the expected and actual differences of the system after the work order is executed.

As shown in fig. 10, two threshold curves T1 and T2 are shown in fig. 10, and since the case where the vibration amount of the water pump exceeds the T1 curve occasionally occurs, an occasional alarm occurs.

Performing fault detection processing on the time domain curve in fig. 10 includes: the frequency curve shown in fig. 11 is obtained by performing waveform spectrum analysis on the normal alarm point, the frequency curve shown in fig. 12 is obtained by performing waveform spectrum analysis on the abnormal alarm point, and as shown in fig. 11 and 12, the main reason for causing abnormal alarm is that the 242.5Hz component is increased, and frequency multiplication harmonic and bottom lifting sites are accompanied.

Secondary diagnostic results: it is determined that cavitation may occur during the start-stop of the pump due to the influence of pressure or flow.

Trend prediction is carried out aiming at trend alarm, the development direction of faults is obtained, the time that the equipment can normally run is clarified, the occurrence probability is given, and the fault reasons, maintenance suggestions and the like of the faults are given.

And (3) predicting maintenance plans, and giving a recommended maintenance time window and a maintenance method according to the result of trend prediction and the production plan of the factory.

In addition, the residual service life of the water pump (based on a certain service life evaluation index) can be given based on the fault case data and the algorithm, and the residual service life of the main component can be given

It is noted that the above-described figures are only schematic illustrations of processes involved in a method according to an exemplary embodiment of the invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.

Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a system, method, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.

A water pump condition monitoring apparatus 1300 according to this embodiment of the present invention is described below with reference to fig. 13. The water pump condition monitoring device 1300 shown in fig. 13 is merely an example, and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

The water pump condition monitoring device 1300 is embodied in the form of a hardware module. The components of the water pump condition monitoring device 1300 may include, but are not limited to: the receiving module 1302 is configured to receive a first set of working condition data output by the water pump controller and/or a second set of working condition data acquired by the sensor; a pre-diagnosis module 1304, configured to perform a primary diagnosis operation on an operation state of the water pump based on the first set of operating condition data and/or the second set of operating condition data, to obtain a primary diagnosis result; and a sending module 1306, configured to send the primary diagnosis result to the server, so that the server performs a secondary diagnosis operation on the operation state of the water pump according to the primary diagnosis result.

A water pump condition monitoring apparatus 1400 according to this embodiment of the present invention is described below with reference to fig. 14. The water pump condition monitoring device 1400 shown in fig. 14 is merely an example, and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

The water pump condition monitoring device 1400 is embodied in the form of a hardware module. The components of the water pump condition monitoring device 1400 may include, but are not limited to: the receiving module 1402 is configured to receive a primary diagnosis result sent by the collector, where the primary diagnosis result is generated based on a primary diagnosis operation of the collector on the water pump; the secondary diagnosis module 1404 is configured to perform a secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result, so as to obtain a secondary diagnosis result of the operation state.

An electronic device 1500 according to such an embodiment of the invention is described below with reference to fig. 15. The electronic device 1500 shown in fig. 15 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.

As shown in fig. 15, the electronic device 1500 is embodied in the form of a general purpose computing device. The components of electronic device 1500 may include, but are not limited to: the at least one processing unit 1510, the at least one storage unit 1520, a bus 1530 that connects the different system components (including the storage unit 1520 and the processing unit 1510).

Wherein the storage unit stores program code that is executable by the processing unit 1010 such that the processing unit 1510 performs steps according to various exemplary embodiments of the present invention described in the above section of the "exemplary method" of the present specification. For example, the processing unit 1010 may perform steps S502, S504 to S506 as shown in fig. 5, steps S702 and S704 as shown in fig. 7, and other steps defined in the water pump condition monitoring system of the present disclosure.

The storage unit 1520 may include readable media in the form of volatile memory units such as Random Access Memory (RAM) 15201 and/or cache memory 15202, and may further include Read Only Memory (ROM) 15203.

The storage unit 1520 may also include a program/utility 15204 having a set (at least one) of program modules 15205, such program modules 15205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

Bus 1530 may be a bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 1500 may also communicate with one or more external devices 1560 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device, and/or any device (e.g., router, modem, etc.) that enables the electronic device 1500 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1540. Also, electronic device 1500 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, e.g., the Internet, through network adapter 1550. As shown, the network adapter 1550 communicates with other modules of the electronic device 1500 over a bus 1530. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with an electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention as described in the "exemplary method" section of this specification, when the program product is run on the terminal device.

A program product for implementing the above-described method according to an embodiment of the present invention may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

1. A water pump condition monitoring system, comprising:

the water pump controller is used for controlling the water pump to operate and outputting a first set of working condition data of the water pump;

the sensor is arranged on the water pump and used for collecting a second group of working condition data of the water pump;

the collector is independently arranged outside the water pump, is electrically connected with the water pump controller and the sensor respectively, and is used for receiving the first group of working condition data and the second group of working condition data;

the collector is further used for performing primary diagnosis operation on the running state of the water pump based on the first set of working condition data and/or the second set of working condition data to obtain a primary diagnosis result;

the water pump state detection system further comprises a server;

the collector is provided with a wireless transmission module, and the wireless transmission module is used for establishing a wireless transmission link with the server;

the server is used for receiving the primary diagnosis result sent by the collector based on the wireless transmission link, and performing secondary diagnosis operation on the running state according to the primary diagnosis result so as to obtain a secondary diagnosis result of the running state.

2. The water pump condition monitoring system of claim 1, wherein,

The server is further used for storing historical working condition data of the water pump and hardware data of the water pump, the historical working condition data comprise historical first group of working condition data and historical second group of working condition data, a diagnosis threshold is set based on the historical working condition data and the hardware data, and the diagnosis threshold is sent to the collector;

the collector is further configured to perform frequency-domain processing on the first set of working condition data and the second set of working condition data to obtain primary diagnosis data, and perform the primary diagnosis operation on the primary diagnosis data based on the diagnosis threshold to obtain the primary diagnosis result.

3. The water pump condition monitoring system of claim 1, wherein the first set of operating condition data and/or the second set of operating condition data further comprises a plurality of energy consumption parameters of the water pump;

the collector is also used for receiving energy consumption parameters of a plurality of water pumps, and the running modes of the water pumps are configured based on the energy consumption parameters of the water pumps.

4. The water pump condition monitoring system according to any one of claims 1 to 3, wherein the sensor includes at least one of a vibration sensor, a temperature sensor, a flow sensor, a pressure sensor, and a water level sensor,

The vibration sensor is arranged at least one position of the base, the outer cylinder, the pump head, the supporting seat, the volute, the coupler and the motor of the water pump in a magnetic attraction, screw thread or adhesive mode.

5. A water pump condition monitoring system according to any one of claims 1 to 3,

the collector is also used for generating a first alarm signal based on the primary diagnosis result and executing alarm operation based on the first alarm signal; and/or

The water pump state monitoring system further comprises a monitoring terminal, the monitoring terminal is in communication connection with the server, the server generates a second alarm signal based on the received primary diagnosis result and sends the second alarm signal to the monitoring terminal, and the server is further used for sending the secondary diagnosis result to the monitoring terminal.

6. The utility model provides a water pump state monitoring method which is characterized in that is applied to the collector of water pump state monitoring system, includes:

receiving a first set of working condition data output by a water pump controller and/or a second set of working condition data acquired by a sensor;

performing primary diagnosis operation on the running state of the water pump based on the first set of working condition data and/or the second set of working condition data to obtain a primary diagnosis result;

And sending the primary diagnosis result to a server based on a wireless transmission link, so that the server performs secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result.

7. The method of claim 6, wherein performing a primary diagnostic operation on the operational state of the water pump based on the first set of operating condition data and/or the second set of operating condition data, the primary diagnostic result comprising:

receiving a diagnosis threshold sent by the server;

performing frequency domain processing on the first set of working condition data and/or the second set of working condition data to obtain primary diagnosis data;

and performing the primary diagnosis operation on the primary diagnosis data based on the diagnosis threshold value to obtain the primary diagnosis result.

8. The water pump condition monitoring method of claim 6, wherein the first set of operating condition data and/or the second set of operating condition data further comprises a plurality of energy consumption parameters of the water pump, the method further comprising:

and configuring the operation modes of a plurality of water pumps based on the energy consumption parameters of the water pumps.

9. The water pump condition monitoring method according to any one of claims 6 to 8, characterized by further comprising, before performing a primary diagnostic operation on the operation condition of the water pump based on the first set of operating condition data and/or the second set of operating condition data, obtaining a primary diagnostic result:

Collecting the first group of working condition data as historical first working condition data according to a preset collecting period, and collecting the second group of working condition data as historical second working condition data;

and sending the historical first working condition data and the historical second working condition data to a server so that the server generates a historical fault library based on the historical first working condition data and the historical second working condition data.

10. The water pump condition monitoring method according to any one of claims 6 to 8, characterized by further comprising:

and when the water pump is determined to be in fault based on the primary diagnosis result, generating a first alarm signal, and executing alarm operation based on the first alarm signal.

11. A water pump state monitoring method is characterized by being applied to a server of a water pump state monitoring system, and comprising the following steps:

the method comprises the steps that a primary diagnosis result sent by a collector is received based on a wireless transmission link, the primary diagnosis result is generated based on primary diagnosis operation of the collector on the water pump, the primary diagnosis operation is obtained by the collector by executing primary diagnosis operation on the running state of the water pump based on collected first set of working condition data and/or second set of working condition data, the first set of working condition data is collected by the collector from a water pump controller, and the second set of working condition data is collected by the collector from a sensor on the water pump;

And performing secondary diagnosis operation on the running state of the water pump based on the primary diagnosis result to obtain a secondary diagnosis result of the running state.

12. The water pump condition monitoring method of claim 11, wherein the primary diagnostic result includes a plurality of diagnostic information received in succession, and wherein performing a secondary diagnostic operation on the operating condition of the water pump based on the primary diagnostic result to obtain a secondary diagnostic result of the operating condition includes:

performing a merging operation on the plurality of diagnostic information to generate a secondary diagnostic event;

and executing a secondary diagnosis operation on the secondary diagnosis event based on a preset first diagnosis model to obtain a secondary diagnosis result.

13. The method for monitoring the state of a water pump according to claim 11, wherein the step of receiving the primary diagnosis result sent by the collector further comprises:

receiving associated diagnosis information of the primary diagnosis result sent by the collector, wherein the associated diagnosis information comprises a first group of working condition data and/or a second group of working condition data in a period adjacent to the receiving time of the primary diagnosis result;

and generating a primary diagnosis waveform curve based on the primary diagnosis result and the associated diagnosis information.

14. The water pump condition monitoring method of claim 13, wherein performing a secondary diagnostic operation on the operational condition of the water pump based on the primary diagnostic result to obtain a secondary diagnostic result of the operational condition to generate a secondary diagnostic event comprises:

performing superposition operation on the time domain on the plurality of diagnosis waveform curves to obtain a superposition waveform curve;

and performing secondary diagnosis operation on the superimposed waveform curve based on a preset second diagnosis model to obtain a secondary diagnosis result, wherein the second diagnosis model comprises an expert diagnosis model and/or a vibration fault rule model.

15. The method of claim 14, wherein the vibration fault rule model includes a historical fault library and a diagnosis rule library, the fault of the water pump includes a vibration fault, and the performing a secondary diagnosis operation on the superimposed waveform curve based on a preset second diagnosis model to obtain the secondary diagnosis result includes:

extracting a fault characteristic curve matched with the superimposed waveform curve from the historical fault library;

performing fault detection processing on the fault characteristic curve based on the diagnosis rule base so as to determine a detection result of the vibration fault;

The secondary diagnosis result is generated based on the detection result of the vibration failure.

16. The water pump condition monitoring method of claim 15, wherein the vibration fault includes at least one of a bearing fault, a balance fault, a centering fault, a cavitation fault, a water hammer fault, and an impeller fault, and wherein performing a fault detection process on the fault signature based on the diagnostic rule base to determine a detection result of the vibration fault includes:

detecting the bearing fault based on the kurtosis of the fault signature waveform; and/or

Performing Fourier transform on waveform frequency of the fault characteristic curve waveform to obtain a conversion parameter, and detecting the balance fault and/or the centering fault based on the conversion parameter; and/or

Detecting the cavitation fault and/or the water hammer fault based on a waveform frequency of the fault signature waveform; and/or

An impeller failure of the water pump is detected based on the number of impeller blades.

17. The water pump state monitoring method according to claim 15, wherein the generating the secondary diagnosis result based on the detection result of the vibration failure includes:

when detecting the detection results of a plurality of vibration faults, calculating the confidence coefficient of the detection result of each vibration fault;

And determining the detection result of the vibration fault with the highest confidence as the secondary diagnosis result.

18. The water pump condition monitoring method according to any one of claims 11 to 17, characterized by further comprising:

pushing the secondary diagnosis result to an adaptive monitoring terminal.

19. The utility model provides a water pump state monitoring devices which characterized in that is applied to water pump state monitoring system's collector, includes:

the receiving module is used for receiving the first group of working condition data output by the water pump controller and/or the second group of working condition data acquired by the sensor;

the pre-diagnosis module is used for executing primary diagnosis operation on the running state of the water pump based on the first set of working condition data and/or the second set of working condition data to obtain a primary diagnosis result;

and the sending module is used for sending the primary diagnosis result to a server based on a wireless transmission link so that the server performs secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result.

20. A water pump condition monitoring device, characterized in that a server applied to a water pump condition monitoring system, comprising:

the system comprises a wireless transmission link, a receiving module, a water pump controller, a water pump control module and a water pump control module, wherein the wireless transmission link is used for receiving a primary diagnosis result sent by the water pump controller based on the wireless transmission link, the primary diagnosis result is generated based on primary diagnosis operation of the water pump by the water pump controller based on a first group of collected working condition data and/or a second group of collected working condition data, and the first group of working condition data is collected from the water pump controller by the water pump controller;

And the secondary diagnosis module is used for performing secondary diagnosis operation on the running state of the water pump based on the primary diagnosis result so as to obtain a secondary diagnosis result of the running state.

21. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the water pump condition monitoring method of any one of claims 6 to 10 or any one of claims 11 to 18 via execution of the executable instructions.

22. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the evaluation method of the water pump condition monitoring method according to any one of claims 6 to 18.