CN115143129A - Desulfurization pump fault prediction and health management device - Google Patents
Desulfurization pump fault prediction and health management device Download PDFInfo
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- CN115143129A CN115143129A CN202210898510.XA CN202210898510A CN115143129A CN 115143129 A CN115143129 A CN 115143129A CN 202210898510 A CN202210898510 A CN 202210898510A CN 115143129 A CN115143129 A CN 115143129A
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- 230000036541 health Effects 0.000 title claims abstract description 55
- 238000006477 desulfuration reaction Methods 0.000 title claims abstract description 19
- 230000023556 desulfurization Effects 0.000 title claims abstract description 19
- 238000003745 diagnosis Methods 0.000 claims abstract description 35
- 238000011156 evaluation Methods 0.000 claims abstract description 22
- 238000005516 engineering process Methods 0.000 claims abstract description 9
- 238000004073 vulcanization Methods 0.000 claims abstract description 7
- 238000004806 packaging method and process Methods 0.000 claims abstract description 4
- 238000012544 monitoring process Methods 0.000 claims description 77
- 238000007726 management method Methods 0.000 claims description 49
- 238000012937 correction Methods 0.000 claims description 39
- 230000001133 acceleration Effects 0.000 claims description 24
- 238000004891 communication Methods 0.000 claims description 15
- 230000006870 function Effects 0.000 claims description 11
- 238000013500 data storage Methods 0.000 claims description 10
- 238000007405 data analysis Methods 0.000 claims description 4
- 238000005299 abrasion Methods 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 238000005486 sulfidation Methods 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 3
- 230000008569 process Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000009466 transformation Effects 0.000 abstract description 2
- 239000000306 component Substances 0.000 description 24
- 238000010586 diagram Methods 0.000 description 4
- QAOWNCQODCNURD-UHFFFAOYSA-N Sulfuric acid Chemical compound OS(O)(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-N 0.000 description 2
- 239000002253 acid Substances 0.000 description 2
- 239000008358 core component Substances 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 1
- 150000007513 acids Chemical class 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000010419 fine particle Substances 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 239000002002 slurry Substances 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
- F04D15/0077—Safety measures
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
- F04D15/0088—Testing machines
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/80—Diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/82—Forecasts
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a fault prediction and health management device for a desulfurization pump, which comprises a field control system, a wireless internet and a remote control system; the field control system is used for acquiring running state parameters of the vulcanizing pump, diagnosing, alarming and correcting the working state of each sensor, and then packaging and sending running state parameter data of the vulcanizing pump and sensor alarm data to the remote control system through a wireless internet; the remote control system receives running state parameter data of the vulcanizing pump and sensor alarm data sent by the field control system through a wireless internet, and carries out state evaluation, service life prediction and fault diagnosis on the vulcanizing pump according to the running state parameter data of the vulcanizing pump. The invention provides a fault prediction and health management device for a desulphurization pump, which adopts the fault prediction and health management technology, not only meets the requirements of reliable and long-life operation of the desulphurization pump in the use process, but also is beneficial to the transformation requirements of a vulcanization pump manufacturer to a service provider.
Description
Technical Field
The invention relates to a fault prediction and health management device for a desulfurization pump, and belongs to the technical field of fluid machinery.
Background
At present, a horizontal cantilever type single-stage single-suction centrifugal pump is generally adopted as a desulfurization pump and is mainly used for conveying corrosive media containing fine particles, and common materials are a plastic pump and a metal pump. The material is required to be wear-resistant, corrosion-resistant, impact-resistant and temperature-resistant, and can adapt to various working conditions, such as conveying acid, alkaline clear liquid or slurry, various corrosive ore pulps in the smelting industry, various dilute acids in the sulfuric acid industry, various sewage in the environmental protection industry and the like.
The desulphurization pump is a key device of a large-scale chemical system and an environmental protection system, and is gradually developing to large-scale and high-power. With the increasing of the structure complexity and the manufacturing cost of the chemical system, the reliable operation and the service life of the core equipment desulphurization pump working under the severe working conditions have great influence on the reliability and the service life of the whole system. Therefore, there is an urgent need to realize effective health status evaluation, core component life prediction, and comprehensive fault diagnosis for the desulfurization pump.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects of the prior art and provides a desulphurization pump fault prediction and health management device, which adopts the fault prediction and health management technology, not only meets the requirements of reliable and long-life operation of the desulphurization pump in the use process, but also is beneficial to the transformation requirement of a vulcanization pump manufacturer to a service provider.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a failure prediction and health management device for a desulfurization pump comprises a field control system, a wireless internet and a remote control system;
the field control system is used for acquiring running state parameters of the vulcanizing pump, diagnosing, alarming and correcting the working state of each sensor, and then packaging and sending running state parameter data of the vulcanizing pump and sensor alarm data to the remote control system through a wireless internet;
the remote control system receives running state parameter data of the vulcanizing pump and sensor alarm data sent by the field control system through a wireless internet, and carries out state evaluation, service life prediction and fault diagnosis on the vulcanizing pump according to the running state parameter data of the vulcanizing pump.
Further, the field control system includes:
the sensing component is used for monitoring various running state parameters of the vulcanizing pump in real time;
and the control component is used for receiving all the running state parameters of the vulcanizing pump collected by the sensing component, sending the running state parameters to the remote control system, diagnosing the sensing component, and performing precision correction and fault alarm on the sensing component.
Further, the sensing part comprises an inlet hydraulic sensor, an outlet hydraulic sensor, a pump shell vibration sensor, a bearing vibration sensor and a current sensor;
the inlet hydraulic sensor is arranged at the inlet of the vulcanizing pump and used for monitoring the inlet pressure of the vulcanizing pump;
the outlet hydraulic sensor is arranged at the outlet of the vulcanizing pump and used for measuring the outlet pressure of the vulcanizing pump;
the pump shell vibration sensor is arranged at the pump shell of the vulcanizing pump and used for measuring the pump shell vibration acceleration of the vulcanizing pump;
the bearing vibration sensor is arranged at a bearing seat of the vulcanizing pump and used for detecting the bearing vibration acceleration of the vulcanizing pump;
the current sensor is arranged at the input end of a motor matched with the vulcanizing pump and used for detecting load current.
Further, the control part comprises a control box, and a circuit breaker, a power supply, a controller, a touch display screen and a wireless router are arranged in the control box;
the input end of the circuit breaker is connected with 220V alternating current, the output end of the circuit breaker is connected with the input end of a power supply, and the output end of the power supply supplies power to the controller, the touch display screen and the wireless router;
the controller is used for receiving various running state parameters of the vulcanizing pump collected by the sensing component, sending the running state parameters to the remote control system through the wireless router, and performing fault diagnosis and precision correction on the sensing component;
the touch display screen is used for displaying various running state parameters of the vulcanizing pump detected by the sensing component, sending a sensing component precision correction signal to the controller and simultaneously giving a sensing component fault alarm;
the wireless router is used for carrying out data connection on the field control system and the remote control system through a wireless internet.
Further, the controller comprises a data acquisition and precision correction module, a fault diagnosis and alarm module and a controller communication module;
the data acquisition and correction module receives the inlet pressure of the vulcanizing pump, the outlet pressure of the vulcanizing pump, the pump shell vibration acceleration of the vulcanizing pump, the bearing vibration acceleration and the load current of the vulcanizing pump, which are sent by the sensing part, and receives a sensing part precision correction signal sent by the touch display screen to carry out precision correction on the sensing part;
the fault diagnosis and alarm module is used for carrying out fault diagnosis on the sensing component and sending an alarm signal to the touch display screen;
the controller communication module is used for communicating with the wireless router.
Further, the touch display screen has a precision correction parameter setting function and a state monitoring function;
the precision correction parameters comprise an inlet hydraulic sensor correction coefficient, an outlet hydraulic sensor correction coefficient, a pump shell vibration sensor correction coefficient, a bearing vibration sensor correction coefficient and a current sensor correction coefficient;
the state monitoring function comprises state parameter monitoring and fault operation state monitoring;
the state parameter monitoring comprises inlet pressure monitoring of the vulcanizing pump, outlet pressure monitoring of the vulcanizing pump, pump shell vibration acceleration monitoring of the vulcanizing pump, bearing vibration acceleration monitoring of the vulcanizing pump and load current monitoring of the vulcanizing pump;
the faulty operating condition monitoring includes sensor fault monitoring.
Further, the remote control system comprises a cloud platform system, a computer user side and a mobile phone user side;
the cloud platform system comprises a data communication module, a data storage module, a state monitoring service module and a health management service module;
a computer user is directly connected with a state monitoring service module of the cloud platform system through a website;
and the mobile phone user is connected with the state monitoring service module of the cloud platform system through the APP software.
Furthermore, the data communication module is used for sending the packed data of the field control system to the data storage module.
The data storage module is used for regularly storing running state parameters of the whole life cycle of the vulcanizing pump and sensor alarm data by adopting a database technology, wherein the running state parameters comprise inlet pressure of the vulcanizing pump, outlet pressure of the vulcanizing pump, vibration acceleration of a pump shell of the vulcanizing pump, vibration acceleration of a bearing of the vulcanizing pump and load current; the sensor alarm data comprises fault data of each sensor in the sensing part;
the state monitoring service module is used for providing real-time query and historical query services of the vulcanization pump state parameters and sensor alarm data stored in the database;
the health management service module performs big data analysis through a machine learning algorithm, and comprises a vulcanizing pump running state evaluation module, a service life prediction service module and a vulcanizing pump fault diagnosis service module;
the running state evaluation of the vulcanizing pump gives the overall running evaluation of the vulcanizing pump based on 100 points;
the life prediction comprises a vulcanizing pump life prediction;
the fault diagnosis of the vulcanizing pump comprises big data diagnosis of blockage of an inlet and an outlet of the vulcanizing pump, cavitation, unbalance of a rotor, abrasion of a blade and bearing pull.
Further, APP software of a mobile phone user is installed on a mobile phone system and is communicated with a state monitoring service module of the cloud platform system, so that state monitoring and health management of the vulcanizing pump can be performed;
the state monitoring of the vulcanizing pump comprises calling state parameters and sensor alarm data in a state monitoring service module, and displaying a current value and a historical value;
and the health management comprises calling a health management service module of the cloud platform system to perform state evaluation, service life prediction and fault diagnosis operation data of the vulcanizing pump and displaying the data.
Further, a computer user directly calls a state monitoring service module and a health management service module of the cloud platform system by inputting a website through a browser to monitor the state of the vulcanizing pump and manage health;
the state monitoring of the vulcanizing pump comprises calling state parameters and sensor alarm data in a state monitoring service module, and displaying a current value and a historical value;
and the health management comprises calling a health management service module of the cloud platform system to perform state evaluation, service life prediction and fault diagnosis operation data of the vulcanizing pump and displaying the data.
By adopting the technical scheme, the invention integrates the automation technology, the Internet of things and cloud platform technology, the health management and other big data analysis technologies, and provides the desulphurization pump fault prediction and health management device which can collect and store the whole life cycle operation state data of the desulphurization pump after being matched with the desulphurization pump for use, and can realize the health management functions of on-line desulphurization pump health state evaluation, core component service life prediction, fault comprehensive diagnosis and the like by analyzing the data by adopting the fault prediction and health management technology, thereby maintaining the reliable and efficient operation of the desulphurization pump and prolonging the service life.
Drawings
FIG. 1 is a functional block diagram of a desulfurization pump fault prediction and health management apparatus of the present invention;
FIG. 2 is a functional block diagram of the control component of the present invention;
FIG. 3 is a functional block diagram of the controller of the present invention;
FIG. 4 is a functional block diagram of a cloud platform system of the present invention;
in the figure, 1-wireless internet, 2-field control system, 3-computer user, 4-cloud platform, 5-mobile phone user, 6-control box, 7-circuit breaker, 8-power supply, 9-controller, 10-wireless router, 11-touch display screen, 12-inlet hydraulic sensor, 13-outlet hydraulic sensor, 14-pump shell vibration sensor, 15-bearing vibration sensor, 16-current sensor, 17-controller communication module, 19-data acquisition and correction module, 20-fault diagnosis and alarm module, 22-cloud platform communication module, 23-cloud platform data storage module, 24-health management service module, 25-state evaluation service module, 26-life prediction service module, 27-fault diagnosis service module and 28-state monitoring service module.
Detailed Description
In order that the present invention may be more readily and clearly understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.
As shown in fig. 1, the present embodiment provides a failure prediction and health management device for a desulfurization pump, which comprises an on-site control system 2, a wireless internet 1 and a remote control system;
the field control system 2 is used for acquiring running state parameters of the vulcanizing pump, diagnosing, alarming and correcting the working state of each sensor, and then packaging and sending running state parameter data of the vulcanizing pump and sensor alarm data to the remote control system through the wireless internet 1;
the remote control system receives running state parameter data of the vulcanizing pump and sensor alarm data sent by the field control system 2 through the wireless internet 1, and carries out state evaluation, service life prediction and fault diagnosis on the vulcanizing pump according to the running state parameter data of the vulcanizing pump;
the wireless internet 1 is a 3G, 4G, 5G, or the like network provided by a communication service provider.
Specifically, the field control system 2 of the present embodiment includes a sensing part and a control part,
as shown in fig. 2, the sensing component is used for monitoring various operating state parameters of the vulcanizing pump in real time, and the sensing component of the embodiment includes an inlet hydraulic sensor 12, an outlet hydraulic sensor 13, a pump casing vibration sensor 14, a bearing vibration sensor 15 and a current sensor 16;
the inlet hydraulic sensor 12 is arranged at the inlet of the vulcanizing pump and used for monitoring the inlet pressure of the vulcanizing pump;
the outlet hydraulic sensor 13 is arranged at the outlet of the vulcanizing pump and used for measuring the outlet pressure of the vulcanizing pump;
the pump shell vibration sensor 14 is arranged at the pump shell of the vulcanizing pump and used for measuring the pump shell vibration acceleration of the vulcanizing pump;
the bearing vibration sensor 15 is arranged at a bearing seat of the vulcanizing pump and used for detecting the vibration acceleration of the bearing of the vulcanizing pump;
a current sensor 16 is provided at the input of the motor associated with the vulcanisation pump for detecting the load current.
As shown in fig. 2, the control component is configured to receive various operation state parameters of the vulcanizing pump collected by the sensing component, send the operation state parameters to the remote control system, diagnose the sensing component, and perform accuracy correction and fault alarm on the sensing component. The control component comprises a control box 6, a circuit breaker 7, a power supply 8, a controller 9, a touch display screen 11 and a wireless router 10 are arranged in the control box 6, and the control box 6 is installed beside a vulcanizing pump power distribution cabinet;
the input end of the circuit breaker 7 is connected with 220V alternating current, the output end of the circuit breaker 7 is connected with the input end of the power supply 8, the main function of the power supply 8 is to convert the 220V alternating current into 24V direct current, and the output end of the power supply 8 supplies power for the controller 9, the touch display screen 11 and the wireless router 10;
the controller 9 is used for receiving various running state parameters of the vulcanizing pump collected by the sensing component, sending the running state parameters to the remote control system through the wireless router 10, and performing fault diagnosis and precision correction on the sensing component;
the touch display screen 11 selects an industrial 7-inch touch screen, is used for displaying various running state parameters of the vulcanizing pump detected by the sensing component, and sends a sensing component precision correction signal to the controller 9 and simultaneously carries out sensing component fault alarm;
the wireless router 10 is used for data connection between the field control system 2 and the remote control system via the wireless internet.
As shown in fig. 3, the controller 9 includes a data acquisition and correction module 19, a fault diagnosis and alarm module 20, and a controller communication module 17;
the data acquisition and correction module 19 receives the inlet pressure of the vulcanizing pump, the outlet pressure of the vulcanizing pump, the vibration acceleration of the pump shell of the vulcanizing pump, the vibration acceleration of the bearing of the vulcanizing pump and the load current which are sent by the sensing part, and the measurement precision is insufficient due to the fact that each sensor can drift in the long-term use process and needs to be corrected, and receives the sensing part precision correction signal sent by the touch display screen 11 to perform precision correction on the sensing part;
the fault diagnosis and alarm module 20 is used for carrying out fault diagnosis on the sensing part and sending an alarm signal to the touch display screen 11;
the controller communication module 17 is used for communicating with the wireless router 10.
The touch display screen 11 has a precision correction parameter setting function and a state monitoring function;
the precision correction parameters comprise correction coefficients of an inlet hydraulic sensor, an outlet hydraulic sensor, a pump shell vibration sensor, a bearing vibration sensor and a current sensor;
the state monitoring function comprises state parameter monitoring and fault operation state monitoring;
the state parameter monitoring comprises inlet pressure monitoring of the vulcanizing pump, outlet pressure monitoring of the vulcanizing pump, pump shell vibration acceleration monitoring of the vulcanizing pump, bearing vibration acceleration monitoring of the vulcanizing pump and load current monitoring of the vulcanizing pump;
the faulty operating condition monitoring includes sensor fault monitoring.
As shown in fig. 4, the remote control system of the present embodiment includes a cloud platform system 4, a computer user 3, and a mobile phone user 5;
the cloud platform system 4 comprises a data communication module 22, a data storage module 23, a state monitoring service module 28 and a health management service module 24 which are developed on the basis of an Ali cloud service platform;
the computer user is directly connected with the state monitoring service module 28 of the cloud platform system 4 through the website;
the mobile phone user connects with the state monitoring service module 28 of the cloud platform system 4 through the APP software.
Specifically, the data communication module 22 is configured to send the packed data of the field control system 2 to the data storage module 23;
the data storage module 23 is used for regularly storing running state parameters of the whole life cycle of the vulcanizing pump and sensor alarm data by adopting a database technology, wherein the running state parameters comprise inlet pressure of the vulcanizing pump, outlet pressure of the vulcanizing pump, vibration acceleration of a pump shell of the vulcanizing pump, vibration acceleration of a bearing of the vulcanizing pump and load current; the sensor alarm data comprises fault data of each sensor in the sensing part;
the state monitoring service module is used for providing real-time query and historical query services of the vulcanization pump state parameters and sensor alarm data stored in the database;
the health management service module 24 performs big data analysis through a machine learning algorithm, and the health management service module 24 comprises a vulcanizing pump running state evaluation module 25, a service life prediction service module 26 and a vulcanizing pump fault diagnosis service module 27;
the running state evaluation of the vulcanizing pump gives the overall running evaluation of the vulcanizing pump based on 100 points;
the life prediction comprises a sulfidation pump life prediction;
the fault diagnosis of the vulcanizing pump comprises big data diagnosis of common faults of blockage of an inlet and an outlet of the vulcanizing pump, cavitation, unbalance of a rotor, abrasion of a blade, bearing strain and the like.
As shown in fig. 1, the APP software application of the mobile phone user of the embodiment is programmed in JAVA language in an android environment, and may be installed on an android mobile phone system, and communicate with the state monitoring service module 28 of the cloud platform system 4 to perform state monitoring and health management of the vulcanizing pump;
the state monitoring of the vulcanizing pump comprises calling state parameters and sensor alarm data in the state monitoring service module 28, and displaying a current value and a historical value;
the health management comprises calling a health management service module 24 of the cloud platform system 4 to perform state evaluation, service life prediction and fault diagnosis operation data of the vulcanizing pump and displaying the operation data in real time.
As shown in fig. 1, a computer user of this embodiment may use a browser to directly invoke the state monitoring service module 28 and the health management service module 24 of the cloud platform system 4 through an input website to perform state monitoring and health management of the vulcanization pump;
the state monitoring of the vulcanizing pump comprises calling state parameters and sensor alarm data in a state monitoring service module 28, and displaying a current value and a historical value;
the health management comprises calling a health management service module 24 of the cloud platform system 4 to perform state evaluation, service life prediction and fault diagnosis operation data of the vulcanizing pump and displaying the operation data in real time.
The technical problems, technical solutions and advantages of the present invention have been described in detail with reference to the above embodiments, and it should be understood that the above embodiments are merely exemplary and not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A desulfurization pump failure prediction and health management device is characterized in that: the system comprises a field control system 2, a wireless internet 1 and a remote control system;
the field control system 2 is used for acquiring running state parameters of the vulcanizing pump, diagnosing, alarming and correcting the working state of each sensor, and then packaging the running state parameter data of the vulcanizing pump and the sensor alarm data through the wireless internet 1 and sending the data to the remote control system;
the remote control system receives the running state parameter data of the vulcanizing pump and the sensor alarm data sent by the field control system 2 through the wireless internet 1, and carries out the state evaluation, the service life prediction and the fault diagnosis of the vulcanizing pump according to the running state parameter data of the vulcanizing pump.
2. The desulfurization pump failure prediction and health management device of claim 1, wherein the site control system 2 comprises:
the sensing component is used for monitoring various running state parameters of the vulcanizing pump in real time;
and the control component is used for receiving all the running state parameters of the vulcanizing pump collected by the sensing component, sending the running state parameters to the remote control system, diagnosing the sensing component, and performing precision correction and fault alarm on the sensing component.
3. The desulfurization pump trouble prediction and health management device according to claim 2, wherein the sensing means includes an inlet hydraulic pressure sensor 12, an outlet hydraulic pressure sensor 13, a pump housing vibration sensor 14, a bearing vibration sensor 15, and a current sensor 16;
the inlet hydraulic sensor 12 is arranged at the inlet of the vulcanizing pump and used for monitoring the inlet pressure of the vulcanizing pump;
the outlet hydraulic sensor 13 is arranged at the outlet of the vulcanizing pump and used for measuring the outlet pressure of the vulcanizing pump;
the pump shell vibration sensor 14 is arranged at the pump shell of the vulcanizing pump and used for measuring the pump shell vibration acceleration of the vulcanizing pump;
the bearing vibration sensor 15 is arranged at a bearing seat of the vulcanizing pump and used for detecting the vibration acceleration of the bearing of the vulcanizing pump;
a current sensor 16 is provided at the input of the motor associated with the vulcanisation pump for detecting the load current.
4. The desulfurization pump failure prediction and health management device of claim 2, wherein: the control component comprises a control box 6, and a circuit breaker 7, a power supply 8, a controller 9, a touch display screen 11 and a wireless router 10 are arranged in the control box 6;
the input end of the circuit breaker 7 is connected with 220V alternating current, the output end of the circuit breaker 7 is connected with the input end of the power supply 8, and the output end of the power supply 8 supplies power for the controller 9, the touch display screen 11 and the wireless router 10;
the controller 9 is used for receiving various running state parameters of the vulcanizing pump collected by the sensing component, sending the running state parameters to the remote control system through the wireless router 10, and performing fault diagnosis and precision correction on the sensing component;
the touch display screen 11 is used for displaying various running state parameters of the vulcanizing pump detected by the sensing component, sending a sensing component precision correction signal to the controller 9 and giving a sensing component fault alarm;
the wireless router 10 is used for data connection of the field control system 2 and the remote control system through the wireless internet.
5. The desulfurization pump failure prediction and health management device of claim 4, wherein: the controller 9 comprises a data acquisition and correction module 19, a fault diagnosis and alarm module 20 and a controller communication module 17;
the data acquisition and correction module 19 receives the inlet pressure of the vulcanizing pump, the outlet pressure of the vulcanizing pump, the pump shell vibration acceleration of the vulcanizing pump, the bearing vibration acceleration and the load current of the vulcanizing pump, which are sent by the sensing part, and receives a sensing part precision correction signal sent by the touch display screen 11 to perform precision correction on the sensing part;
the fault diagnosis and alarm module 20 is used for carrying out fault diagnosis on the sensing part and sending an alarm signal to the touch display screen 11;
the controller communication module 17 is used for communicating with the wireless router 10.
6. The desulfurization pump failure prediction and health management device of claim 4, wherein: the touch display screen 11 has a precision correction parameter setting function and a state monitoring function;
the precision correction parameters comprise an inlet hydraulic sensor correction coefficient, an outlet hydraulic sensor correction coefficient, a pump shell vibration sensor correction coefficient, a bearing vibration sensor correction coefficient and a current sensor correction coefficient;
the state monitoring function comprises state parameter monitoring and fault operation state monitoring;
the state parameter monitoring comprises inlet pressure monitoring of the vulcanizing pump, outlet pressure monitoring of the vulcanizing pump, pump shell vibration acceleration monitoring of the vulcanizing pump, bearing vibration acceleration monitoring of the vulcanizing pump and load current monitoring of the vulcanizing pump;
faulty operating condition monitoring includes sensor fault monitoring.
7. The desulfurization pump failure prediction and health management device of claim 1, wherein: the remote control system comprises a cloud platform system 4, a computer user 3 and a mobile phone user 5;
the cloud platform system 4 comprises a data communication module 22, a data storage module 23, a state monitoring service module 28 and a health management service module 24;
the computer user is directly connected with the state monitoring service module 28 of the cloud platform system 4 through a website;
the mobile phone user connects with the state monitoring service module 28 of the cloud platform system 4 through the APP software.
8. The desulfurization pump failure prediction and health management device of claim 7, wherein:
the data communication module 22 is configured to send the packed data of the field control system 2 to the data storage module 23.
The data storage module 23 adopts a database technology to regularly store the running state parameters of the whole life cycle of the vulcanizing pump and the sensor alarm data, wherein the running state parameters comprise the inlet pressure of the vulcanizing pump, the outlet pressure of the vulcanizing pump, the vibration acceleration of the pump shell of the vulcanizing pump, the vibration acceleration of the bearing of the vulcanizing pump and the load current; the sensor alarm data comprises fault data of each sensor in the sensing part;
the state monitoring service module is used for providing real-time query and historical query services of the state parameters of the vulcanizing pump and the sensor alarm data stored in the database;
the health management service module 24 performs big data analysis through a machine learning algorithm, and the health management service module 24 comprises a vulcanizing pump running state evaluation module 25, a service life prediction service module 26 and a vulcanizing pump fault diagnosis service module 27;
the running state evaluation of the vulcanizing pump gives the overall running evaluation of the vulcanizing pump based on 100 points;
the life prediction comprises a sulfidation pump life prediction;
the fault diagnosis of the vulcanizing pump comprises big data diagnosis of blockage of an inlet and an outlet of the vulcanizing pump, cavitation, unbalance of a rotor, abrasion of a blade and bearing pull.
9. The desulfurization pump failure prediction and health management device of claim 7, wherein:
APP software of a mobile phone user is installed on a mobile phone system and is communicated with a state monitoring service module 28 of the cloud platform system 4 to perform state monitoring and health management on the vulcanizing pump;
the state monitoring of the vulcanizing pump comprises calling state parameters and sensor alarm data in the state monitoring service module 28, and displaying a current value and a historical value;
the health management comprises calling the health management service module 24 of the cloud platform system 4 to perform state evaluation, service life prediction and fault diagnosis operation data of the vulcanizing pump and displaying the operation data.
10. The desulfurization pump failure prediction and health management device of claim 7, wherein:
a computer user directly calls the state monitoring service module 28 and the health management service module 24 of the cloud platform system 4 through inputting a website by using a browser to monitor the state of the vulcanizing pump and manage the health;
the state monitoring of the vulcanizing pump comprises calling state parameters and sensor alarm data in the state monitoring service module 28, and displaying a current value and a historical value;
the health management comprises calling the health management service module 24 of the cloud platform system 4 to perform state evaluation, service life prediction and fault diagnosis operation data of the vulcanizing pump and displaying the operation data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210898510.XA CN115143129A (en) | 2022-07-28 | 2022-07-28 | Desulfurization pump fault prediction and health management device |
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| CN202210898510.XA CN115143129A (en) | 2022-07-28 | 2022-07-28 | Desulfurization pump fault prediction and health management device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117668498A (en) * | 2024-01-31 | 2024-03-08 | 和尘自仪(嘉兴)科技有限公司 | Pump health assessment method based on reliability distribution and anomaly detection |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117668498A (en) * | 2024-01-31 | 2024-03-08 | 和尘自仪(嘉兴)科技有限公司 | Pump health assessment method based on reliability distribution and anomaly detection |
| CN117668498B (en) * | 2024-01-31 | 2024-04-26 | 和尘自仪(嘉兴)科技有限公司 | Pump health assessment method based on reliability distribution and anomaly detection |
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Application publication date: 20221004 |