KR102626331B1 - Pipe anomaly recording apparatus and monitoring system using the same - Google Patents

Abstract

The present invention includes a pipe abnormality recording member installed in a water supply pipe to detect and store at least one of the flow rate, flow rate, and pressure within the pipe, and to detect whether an event has occurred; It includes a pipe abnormality recording member, a detection sensor unit that detects at least one of flow rate, flow rate, and pressure in the water supply pipe; a detection storage unit that stores data detected by the detection sensor unit; and a detection analysis unit that interprets the data sensed by the detection sensor unit to detect whether an event has occurred and warns of the occurrence of the event. It includes a piping abnormality recording device including a.

Description

Piping abnormality recording device and monitoring system using the same {PIPE ANOMALY RECORDING APPARATUS AND MONITORING SYSTEM USING THE SAME}

The present invention relates to a piping abnormality recording device and a monitoring system using the same.

Recently, there has been a shift from reactive management, which investigates the condition of water supply facilities and repairs/reinforces water supply, to proactive management, which conducts systematic and efficient maintenance by identifying the condition and deterioration of the facility through quantitative assessment of assets.

However, the water supply pipe network, which is one of the seven major underground facilities in Korea, is extensively buried underground, making facility management very vulnerable, and water leakage accidents due to sudden rupture of large water pipes are not only inconvenient, but also a threat to the safety of citizens, such as sinkholes. am.

Therefore, although regular technical diagnosis is currently being carried out according to the Waterworks Act, it is limited to a simple survey (adequacy of pipe network configuration, capacity, water pressure uniformity, etc.), so that the risk of accidents such as pipe damage can be assessed and responded to in advance in real time. A solution is needed. However, to date, no technology has been proposed to meet the need.

Republic of Korea Patent Publication No. 10-0902540 (registered on June 5, 2009)

The present invention was created to solve the above-described conventional problems. The purpose of the present invention is to detect and record events occurring in water pipes in real time by adjusting the data storage frequency depending on whether or not an event occurs. Providing a recording device.

In addition, the present invention provides monitoring using a pipe abnormality recording device that can quantitatively evaluate the risk of water supply repair structures by analyzing data obtained through a pipe abnormality recording device that can detect and record events occurring in water pipes in real time. To provide a system.

The present invention may include the following examples to achieve the above object.

An embodiment of the present invention includes a pipe abnormality recording member installed in a water supply pipe to detect and store at least one of the flow rate, flow rate, and pressure in the pipe, and detecting whether an event has occurred, and the pipe abnormality recording member records the water supply pipe's flow rate. A detection sensor unit that detects at least one of overflow velocity and pressure, a detection storage unit that stores the data detected by the detection sensor unit, and a detection sensor unit interprets the detected data to detect whether an event has occurred and to alert the event occurrence. Provided is a piping abnormality recording device including a detection and analysis unit.

In addition, the present invention, as another embodiment, includes the piping abnormality recording member of the above embodiment and a monitoring member that receives and outputs data from the piping abnormality recording member, and the monitoring member is based on the data of the piping abnormality recording member. Provides a monitoring system using a piping abnormality recording device that calculates impact amount statistical values and calculates risk assessment indicators through the calculated statistical values.

Here, the monitoring member fuses data from pipe abnormality recording members with GIS information, visualizes it, and outputs it.

The present invention can accurately recognize accidents that may occur in water pipes by periodically recording and accumulating abnormalities in water pipes.

In addition, the present invention allows quantitative assessment of the risk of water supply hydraulic structures by accumulating data periodically measured in water pipes, and optimizes data capacity due to data storage conditions.

In addition, the present invention can detect abnormalities in the future due to pipe rupture, valve operation, etc. through high-frequency data collected through a pipe abnormality recording device, enabling real-time water leak detection.

Figure 1 is a block diagram showing a pipe abnormality recording device and a monitoring system using the same according to the present invention.
Figure 2 is a block diagram showing a piping abnormality recording member.
Figure 3 is a block diagram showing the detection and analysis unit.
Figure 4 is a block diagram showing a monitoring member.
Figure 5 is a flowchart showing a pipe monitoring method.
Figure 6 is a flowchart showing step S100.
Figure 7 is a graph to explain the outline of data acquisition.
Figure 8 is a graph showing an example of low-frequency data acquisition.
Figure 9 is a graph showing an example of high-frequency data acquisition.
Figure 10 is a diagram showing an example of output information of a monitoring member that is fused with GIS information.

Terms or words used in this specification and claims are not to be construed limited to their ordinary or dictionary meanings, and the inventor may appropriately define the concept of the term in order to explain the user's invention in the best way. It must be interpreted based on the meaning and concept consistent with the technical idea of the present invention.

Hereinafter, a preferred embodiment of the piping abnormality recording device and the monitoring system using the same according to the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a block diagram showing a pipe abnormality recording device and a monitoring system using the same according to the present invention.

Referring to FIG. 1, the present invention includes a plumbing abnormality recording member 100 that detects abnormalities in pipes and stores data, and a monitoring member 200 that visualizes and statistics the data stored in the pipe abnormality recording member 100. , and includes a GIS server 300 that provides geographic information to the monitoring member 200.

A plurality of pipe abnormality recording members 100 may be installed to be spaced apart from each other in the same water supply pipe (P) or may be installed in different pipes (P).

The piping abnormality recording member 100 is an event such as a water shock in which the flow rate in the water supply pipe changes rapidly and the pressure increases or decreases significantly, causing the fluid to enter an unsteady state due to a sudden change in flow rate and apply pressure to the pipe when traveling back and forth between pipes. Detects and stores the detected data in real time.

Here, the pipe abnormality recording member 100 can calculate whether there is an abnormality through data detected in the field, and as a terminal capable of edge computing, data can be shared and distributedly stored through edge infrastructure. A detailed description of the pipe abnormality recording member 100 will be described later with reference to FIG. 2 .

The monitoring member 200 visualizes and outputs event detection information from a plurality of piping abnormality recording members 100 installed within a set area, and receives stored data from the plurality of piping abnormality recording members 100 to ensure the health of all water supply pipes. The degree is evaluated and output as visualized information.

In addition, the monitoring member 200 is linked to the GIS server 300 to output monitoring information (see FIG. 10) in which GIS information is fused with information on the entire water supply pipe including hydraulic structures (e.g., pumps, valves). You can.

The piping abnormality recording member 100 and the monitoring member 200 will be described with reference to FIGS. 2 to 4 .

Figure 2 is a block diagram showing a pipe abnormality recording member, and Figure 3 is a block diagram showing a detection and analysis unit.

Referring to Figures 2 and 3, the pipe abnormality recording member 100 includes a detection sensor unit 130 installed in the pipe, a detection storage unit 120 that stores the sensed data, and an event by analyzing the sensed data. It may include a detection analysis unit 110 that detects, a communication unit 140 that communicates with the monitoring member 200 and/or other terminals capable of edge computing, and a power supply unit 150 that supplies power.

The detection sensor unit 130 includes, for example, a pressure sensor installed in a T-shaped pipe connected to a water supply pipe and detects changes in pressure due to changes in fluid flow rate in an unsteady state within the pipe at set cycles.

The detection storage unit 120 stores data detected by the detection sensor unit 130.

Here, the detection sensor unit 130 sets the data detection and storage frequency according to the storage capacity of the detection storage unit 120 and the situation when an abnormality is detected and before the abnormality is detected for accuracy of whether an event occurs. It may vary depending on.

For example, in the event of a water impact, in order to obtain accurate information from pressure waves moving at high speed, data storage with a high frequency of data observation must be preceded.

And when water shock occurs in a general water supply network, the moving speed of the pressure wave is 1000-1,700 m/s.

In addition, when a water pipe is damaged or ruptured, the pressure wave suddenly drops in pressure and then returns to the original pressure for a short period of time. There are limitations in determining whether there is a water leak with low-frequency data.

Therefore, if the data acquisition frequency is set insufficiently, the increase in fluid pressure inside the pipe may not be recognized in the event of a water impact accident.

Therefore, it is preferable that the detection sensor unit 130 acquires pressure wave data at a high frequency of at least 100 Hz (for example, 100 to 1000 times per second).

However, when data is acquired at a high frequency, the capacity of the sensing storage unit 120 may need to be added due to an increase in data capacity.

Therefore, the present invention is characterized by acquiring and storing data according to low-frequency data storage conditions at all times according to the detection result of the detection sensor unit 130, and acquiring data according to high-frequency data storage conditions when an abnormality is detected. .

The detection analysis unit 110 adjusts the data acquisition frequency of the detection sensor unit 130 according to the detection result of the detection sensor unit 130 and analyzes the detected data to detect whether an event has occurred. Specifically, the detection analysis unit 110 determines an event detection module 111 that detects an event through data detected by the detection sensor unit 130 and a storage frequency that determines the data acquisition frequency of the detection sensor unit 130. It may include module 112.

The event detection module 111 detects pressure changes and/or water impact within the pipe through data detected by the detection sensor unit 130, and detects whether events such as water leakage, bending, or damage to the pipe have occurred accordingly.

To this end, the event detection module 111 applies, for example, 2D pipe transition flow analysis technology or 3D-based Full Navier Stokes analysis method and other technologies to detect actual data based on the data stored in the detection storage unit 120. The quantitative amount of impact applied to pipes and other hydraulic structures is calculated and compared with the standard value set as the existing water impact strength to detect whether an event has occurred (accident/non-accident).

The storage frequency determination module 112 determines the data detection frequency of the detection sensor unit 130. Here, the storage frequency determination module 112 sets the data acquisition frequency or data storage frequency to a low-frequency data storage condition of n times per set time (e.g., seconds, minutes) when no abnormality is normally detected. The unit 130 is driven.

Alternatively, when the storage frequency determination module 112 detects an abnormality in the pipe (e.g., change in flow rate and/or pressure, impulse exceeding a set standard), the storage frequency determination module 112 switches the detection sensor unit 130 at a low frequency to a high frequency of at least 100 Hz. Change the frequency data storage conditions.

The AI abnormality determination module 113 is driven by an artificial intelligence algorithm such as machine learning, learns abnormalities (for example, abnormalities due to vibration or pressure changes) through stored data (or current data), and Analyze data (e.g., waveforms of vibration and pressure change) to determine whether there is an abnormality. Here, the waveform may be data including the intensity, number, or location of a waveform or vibration according to a change in pressure detected within the pipe shown in FIGS. 7 to 9.

In other words, the AI abnormality determination module 113 learns abnormalities through accumulated data and determines and stores abnormalities through pressure detection data detected in real time. The results can be output in the absence of monitoring and stored and statisticated so that they can be used as risk assessment indicators or for other purposes.

Additionally, the sensing and interpreting unit 110 may include a plurality of APIs (Application Programming Interfaces). For example, the detection analysis unit 110 uses a storage data transmission API for each period to transmit data stored in the detection storage unit 120 to the monitoring unit at each set period, and sends data in real time according to a request from the monitoring member 200. It may include a real-time data transmission API for transmitting and an event transmission API for transmitting whether an event has occurred.

Here, the piping abnormality recording member 100 as described above may be installed in a buried type or an above-ground type.

For example, the piping abnormality recording member 100 may be housed in a waterproof case and directly installed in a piping or repair structure.

Alternatively, the pipe abnormality recording member 100 may be connected to the sensor unit installed in the pipe with a cable, and the remaining communication unit 140, detection analysis unit 110, and power unit 150 may be installed on the ground. At this time, if the power supply unit 150 of the piping abnormality recording member 100 is of the ground type, a power generation device using natural energy such as solar energy or wind power may be added in addition to a battery.

Figure 4 is a block diagram showing a monitoring member.

Referring to FIG. 4, the monitoring member 200 includes a water impact analysis simulator 210 that generates a virtual water impact model based on data from a plurality of piping abnormality recording members 100, and a plurality of piping abnormality recording members ( A data collection unit 220 that collects data from 100), an impact statistics unit 230 that calculates statistics of the impact amount, a monitoring storage unit 240 that stores monitoring information, and a risk area analysis unit that analyzes the risk area. Includes 250.

The water impact analysis simulator 210 requests data stored in the pipe abnormality record member 100 and performs a two-dimensional pipe transition flow analysis using one or more data obtained from accumulated actual water supply pipes to analyze the entire water supply pipe. Perform.

In other words, when input data is collected from one or more locations, the water impact analysis simulator 210 utilizes it to serve as a virtual meter that simulates pressure and flow data for the entire piping.

Therefore, the monitoring member 200 can obtain physical quantity information of the entire piping through the water impact analysis simulator 210.

The data collection unit 220 may request and receive data from a plurality of pipe abnormality recording members 100 periodically and/or in real time. For example, the data collection unit 220 requests and receives data stored in a plurality of pipe abnormality recording members 100 at set time periods. Alternatively, the data collection unit 220 may request real-time data from the pipe abnormality recording member 100 where an event occurred.

The shock amount statistics unit 230 calculates at least one of the shock amount statistical value for each point set among all water supply pipes and the shock amount statistical value for all water supply pipes. Such impact statistics make it possible to calculate risk assessment indicators used to evaluate soundness.

The monitoring storage unit 240 stores data of the monitoring member 200. For example, the monitoring storage unit 240 includes data from the pipe abnormality record member 100, event occurrence data, the results of the water impact analysis simulator 210 and the impact statistics unit 230, and the hazardous area analysis unit ( 250) and save the result.

The risk area analysis unit 250 evaluates the risk at each point in the entire water supply pipe and calculates a risk evaluation index based on the results. The calculated results are linked with the GIS server 300 and output as visualization information showing the risk of related points on the electronic map.

For example, the points affected by water impact in the water supply pipe (P) can be identified as hydraulic structures such as bends, branch pipes, valves, and pumps, or points where a lot of friction occurs. Therefore, the hazardous area analysis unit 250 accumulates the force affecting the corresponding hydraulic structure based on the results of the water impact analysis simulator 210, which simulates the pressure value occurring at each point in real time.

In addition, the risk area analysis unit 250 calculates a risk assessment index according to the magnitude of the force cumulatively affected by the hydraulic structure.

Accordingly, the manager of the monitoring member 200 can determine whether to carefully observe, replace, reinforce, and/or diagnose the water supply pipes and/or repair structures at the corresponding point by checking the risk assessment index.

That is, the piping abnormality recording member 100 according to the present invention can detect the pressure in the piping in real time and detect whether an event has occurred through this.

In addition, the monitoring member 200 can be linked with the GIS server 300 to output sensing data from the pipe abnormality recording member 100 so that it is possible to visually check whether or not an event has occurred and the point in the entire pipe.

In addition, the monitoring member 200 can interpret the physical quantities of the entire water supply pipe through the sensed data of the pipe abnormality recording member 100, and evaluate the risk of the entire pipe and the hydraulic structure at each point in connection with the GIS server 300. Indicators can be calculated.

The present invention further includes a monitoring method using a pipe abnormality recording device through the above configuration. Hereinafter, a monitoring method using a pipe abnormality recording device will be described with reference to FIGS. 5 and 6.

Figure 5 is a flow chart of the present invention, and Figure 6 is a flow chart showing step S100.

Referring to Figures 5 and 7, the present invention includes a step S100 of detecting an event of a piping abnormality recording member, a step S200 of collecting data from the monitoring member 200, and evaluation and statistical data of the monitoring member 200. It includes an updating step S300.

Step S100 is a step of detecting and storing data according to the storage frequency set in the pipe abnormality recording member 100.

Specifically, step S100 includes a step S110 in which the pipe abnormality recording member 100 detects and stores water impact in the pipe, a step S120 in which abnormalities and/or signs are detected, and a step S130 in which data is acquired and stored at a high frequency, It may include a step S140 of detecting whether an event has occurred and a step S150 of transmitting event occurrence information.

Step S110 is a step in which the pipe abnormality recording member 100 is turned on and data is stored at a set low frequency. The detection sensor unit 130 detects pressure and/or water impact within the pipe at a frequency of n times per minute, or less than 100 Hz, according to the set low frequency condition. Data detected by the detection sensor unit 130 is stored in the detection storage unit 120.

Low-frequency data acquisition conditions are as disclosed in FIGS. 7 and 8.

Referring to Figures 7 and 8, the detection sensor unit 130 acquires data at a low frequency in sections where no events occur (refer to the blue straight line data acquisition frequency from 0 to 0.5 seconds and from 1 second to 1.2 seconds). .

That is, the detection sensor unit 130 records pressure data of the water pipe at a low frequency (for example, 100 Hz or less) in the detection storage unit 120 as shown in FIG. 8 in a situation in which an accident does not occur.

Step S120 is a step of detecting abnormal signs in the pipe based on data detected by the detection sensor unit 130. The detection analysis unit 110 detects pressure changes or water impact within the pipe through data stored in the detection storage unit 120. Here, the detection and analysis unit 110 may transmit abnormal symptom detection information to the monitoring member 200.

Step S130 is a step in which the detection sensor unit 130 detects and stores data according to set high-frequency data storage conditions when an abnormality is detected in step S120. This is explained with reference to FIGS. 7 and 9.

First, referring to FIG. 7, when an abnormality is detected, the detection sensor unit 130 acquires data at a high frequency of 100 Hz or more (refer to the blue straight line data acquisition frequency in the 0.5 second to 1 second section in FIG. 7).

That is, when the detection sensor unit 130 detects signs of an accident (e.g., changes in pressure and/or flow rate) and/or an accident, it switches the data acquisition frequency to a high frequency (e.g., 100 Hz or more) and collects the data. is acquired and stored in the detection storage unit 120.

Step S140 is a step in which the detection and interpretation unit 110 detects whether an event has occurred. After an abnormality is detected, the detection and analysis unit 110 analyzes stored data according to high-frequency data storage conditions and detects events such as water leakage or damage.

At this time, it is desirable that the detection and analysis unit 110 detects an accident/non-accident based on the previously set water impact intensity.

Step S150 is a step in which the detection analysis unit 110 transmits the detected event occurrence information to the monitoring member 200. The detection and analysis unit 110 transmits event occurrence information to the monitoring member 200, and the monitoring member 200 requests data in real time. Accordingly, the sensing and interpreting unit 110 transmits the data acquired in real time to the monitoring member 200.

Step S200 is a step in which the monitoring member 200 collects data. The monitoring member 200 normally requests and receives data from a plurality of pipe abnormality detection members installed in all pipes at regular time intervals.

Additionally, when event occurrence information is received as described above, the monitoring member 200 requests data in real time from the corresponding piping abnormality recording member 100.

Step S300 is a step in which the monitoring member 200 evaluates risk and updates statistical data. The monitoring member 200 calculates the physical quantity of the entire piping using data at a specific point through water impact analysis simulation based on data collected from the piping abnormality recording member 100 stored in the monitoring storage unit 240.

In addition, the monitoring member 200 calculates the risk of the entire pipe or a set section of the entire pipe or a specific point depending on the virtual premise piping physical quantity as described above and whether an event occurs, and displays the result on GIS information such as an electronic map. and print it out.

In addition, the monitoring member 200 may calculate statistical values by accumulating the real-time impact applied to the entire piping and/or the repair facility at each branch in real time and output the results by including them in the above-mentioned GIS information.

The monitoring member 200 can analyze the health of the water supply network through such statistical values and risk assessment.

As described above, the description of the present invention is for illustrative purposes, and a person skilled in the art to which the present invention pertains can easily transform it into another specific form without changing the technical idea or essential features of the present invention. You will understand. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. For example, each component described as unitary may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form.

100: Absence of records of piping abnormalities
110: detection analysis unit
111: Event detection module
112: Storage frequency determination module
113: AI abnormality judgment module
120: detection storage unit
130: Detection sensor unit
140: Department of Communications
150: power unit
200: Absence of monitoring
210: Water impact analysis simulator
220: data collection unit
230: Shock volume statistics department
240: monitoring storage unit
250: Hazardous area analysis department
300: GIS server

Claims (10)

A pipe abnormality recorder installed in a water supply pipe to detect and store at least one of the flow rate, flow rate, and pressure within the pipe, and to detect whether an event has occurred; Including,
Absence of records of plumbing abnormalities
A detection sensor unit that detects at least one of flow rate, flow rate, and pressure in the water supply pipe;
a detection storage unit that stores data detected by the detection sensor unit; and
A detection analysis unit that interprets the data detected by the detection sensor unit to detect whether an event has occurred and warns of the event occurrence; Including,
Detection analysis unit
An event detection module that calculates the amount of impact applied to the pipe and the hydraulic structure installed in the pipe based on the data stored in the detection storage unit and detects whether an event has occurred by comparing it with a set reference value; and
A storage frequency determination module that determines either a low-frequency data storage condition or a high-frequency data storage condition in which the number of detections and storage per hour is increased compared to the low-frequency data storage condition according to the setting conditions; A piping abnormality recording device containing a.
The method in claim 1, wherein the detection sensor unit
Selectively detecting data in the pipe and storing it in a detection storage unit according to low-frequency data storage conditions and high-frequency data storage conditions in which the number of detections and storage per set time is increased compared to the low-frequency data storage conditions; A piping abnormality recording device characterized by a.
The method of claim 1, wherein the absence of records of piping abnormalities
One of the buried type, which is housed in a waterproof case and embedded in a water supply pipe, and the ground type, where the sensing storage unit, communication unit, and detection analysis unit are installed on the ground; A piping abnormality recording device characterized by a.
delete The method in claim 1, wherein the detection and analysis unit
An AI abnormality judgment module that learns vibration or pressure changes from data stored in the sensing storage unit and determines whether there is an abnormality using the current data; A piping abnormality recording device further comprising:
Absence of records of abnormalities in the piping of claim 1, which are installed at each set point of the entire piping; and
A monitoring member that receives data from a pipe abnormality record member, calculates statistical values of the impact amount of the entire pipe, and calculates and outputs risk assessment indicators through the calculated statistical values; Including,
The absence of monitoring
A water impact analysis simulator that generates a virtual water impact model based on data from a plurality of pipe abnormality record members;
a data collection unit that collects data from a plurality of pipe abnormality record members;
Impact volume statistics department that calculates shock volume statistics based on data collected in the data collection department; and
A hazardous area analysis department that analyzes the hazardous area of the entire piping through the statistical values of the impulse statistics department; A monitoring system using a piping abnormality recording device including.
The method of claim 6, wherein the absence of monitoring is
Visualizing and outputting data from pipe abnormality records by fusing them with GIS information; A monitoring system using a piping abnormality recording device, characterized by:
delete The method of claim 6, wherein the hazardous area analysis unit
Calculating risk assessment indicators according to the magnitude of force cumulatively affected by hydraulic structures; A monitoring system using a piping abnormality recording device, characterized by:
The method of claim 6, wherein the absence of records of piping abnormalities is
Edge computing terminal capable of accessing edge infrastructure; A monitoring system using a piping abnormality recording device, characterized in that:

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