WO2015087378A1

WO2015087378A1 - Water facility network abnormality detection device and abnormality detection method

Info

Publication number: WO2015087378A1
Application number: PCT/JP2013/082971
Authority: WO
Inventors: 優美子石戸; 信補高橋
Original assignee: 株式会社日立製作所
Priority date: 2013-12-09
Filing date: 2013-12-09
Publication date: 2015-06-18
Also published as: JPWO2015087378A1

Abstract

An abnormality detection device for detecting the occurrence of an abnormality in a water facility network comprising one or more water distribution areas that each include a piping network and a plurality of pressure meters installed in the piping network, said abnormality detection device having an intersensor water consumption ratio index calculation unit for calculating, on the basis of the pressure measurement values of the plurality of pressure meters, an intersensor water consumption ratio index indicating the ratio between a first difference indicating the difference in the pressure measurement values of a pair of pressure meters from among the plurality of pressure meters and a second difference indicating the difference in the pressure measurement values of another pair of pressure meters and an abnormality determination unit for determining, on the basis of the calculation results of the intersensor water consumption ratio index calculation unit, whether there is an abnormality in a water distribution area in which one of the pressure meters is disposed.

Description

Water facility network abnormality detection device and abnormality detection method

The present invention relates to an abnormality detection device and an abnormality detection method for a water supply facility network.

There is US2011 / 0215945 (patent document 1) as background art in this technical field. This publication describes "a computerized method for monitoring a waterworks network comprising a piping network for delivering water to consumers and a plurality of meters positioned in the piping over the waterworks network. Receiving meter data representing parameters measured by the meter such as the flow rate, pressure, chlorine level, pH, and turbidity of the water being distributed through the piping. Receiving ancillary data representing conditions such as weather and holidays that affect the consumption of water in the area served by the water supply network from an external source. Events that are analyzed using sophisticated technologies and other events related to the quantity and quality of water flowing through the pipes and the operation of the water supply network There are identified. These events (see abstract), which is described as being reported. "To the user through the user interface.

US2011 / 0215945

The system and method for monitoring resources in the water supply network of Patent Document 1 uses an abnormality in the water supply network by utilizing a plurality of types of data supplied from the administrator of the water supply network and an external information supply source. Although a method for detecting the occurrence of data is provided, it requires preparation of a plurality of types of data when used. In addition, in order to properly utilize the data received from the manager of the water pipe network or an external source, tuning work based on expertise in the water supply field is required. For one or both of these multiple types of data and tuning work with specialized knowledge, if sufficient quantity and quality cannot be ensured at the device installation destination, there is a problem that the accuracy of anomaly detection is reduced and false alarms increase. .

Therefore, the present invention provides an abnormality detection device and an abnormality detection method for a water supply facility network that can detect the occurrence of an abnormality in the water supply facility network using a pressure measurement value obtained from the water supply facility network.

In order to solve the above problems, for example, the configuration described in the claims is adopted.
The present application includes a plurality of means for solving the above-mentioned problems. For example, the pressure measurement value by the pressure gauge is used to relate to the water consumption for each small area divided by the position of the pressure gauge. An inter-sensor water consumption ratio index is calculated, and by detecting the inter-sensor water consumption ratio index, the occurrence of an abnormality in the distribution pipe network and the location of the abnormality are estimated. The inter-sensor water consumption ratio index uses a difference and a ratio of measurement values obtained by a plurality of pressure measuring instruments.

According to the present invention, it is possible to detect the occurrence of abnormality in the water supply facility network using the pressure measurement value obtained from the water supply facility network.

Issues, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

It is a block diagram showing the structural example of the abnormality detection apparatus of a water supply network. It is a block diagram showing the hardware structural example of the abnormality detection apparatus of a water supply network. It is a block diagram showing the example of a structure of the water supply network which the abnormality detection apparatus of a water supply network makes the object of abnormality detection. It is a block diagram showing the example in which the administrator of a water supply network manages a water supply network using an abnormality detection apparatus. It is a data block diagram showing the example of an output of the inter-sensor water consumption ratio index calculation part which is a part of abnormality detection apparatus of a water supply network. It is a characteristic figure which shows the graph of the time series plot of the water consumption ratio ratio between sensors. It is a flowchart for demonstrating the process of the abnormality detection apparatus of a water supply network. It is a screen block diagram which an input / output interface displays to the administrator of a water supply network. It is a screen block diagram which an input / output interface displays to the administrator of a water supply network. It is a block diagram which shows 2nd Example of the abnormality detection apparatus of a water supply network. It is a block diagram which shows 3rd Example of the abnormality detection apparatus of a water supply network. It is a block diagram showing the example which the administrator of a water supply network manages the water supply network using the abnormality detection apparatus of 3rd Example.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The same reference numerals are assigned to substantially the same parts, and the description will not be repeated.

In this embodiment, an abnormality detection apparatus 100 that detects an abnormality in a water supply facility network will be described. FIG. 1 is a configuration diagram of an abnormality detection apparatus 100 for a water supply facility network according to this embodiment. In FIG. 1, the abnormality detection apparatus 100 for a water supply network according to the present embodiment receives pressure measurement data 111 and outputs an output data group 121. The pressure measurement data 111 is time-series data measured by a pressure measuring device (pressure sensor) positioned in a pipe over a water supply facility network to be detected as an abnormality, and details thereof will be described later with reference to FIG. Further, a method and a form in which the pressure measurement data 111 is input to the abnormality detection device 100 of the water supply facility network will be described later with reference to FIG. The output data group 121 can include consumption ratio transition report data 122, abnormality report data 123, and other data 124. Details of the output data group 121 will be described later with reference to FIG.

The abnormality detection device 100 of the water supply network includes an inter-sensor water consumption ratio index calculation unit 101 and an abnormality diagnosis unit 102. The inter-sensor water consumption ratio index calculation unit 101 receives the pressure measurement data 111, calculates an inter-sensor water consumption ratio index, generates consumption ratio transition report data 122 from the calculation result, and generates the generated consumption ratio. The transition report data 122 is output. The consumption ratio transition report data 122 is input to the abnormality diagnosis unit 102. Details of the operation of the inter-sensor water consumption ratio index calculation unit 101 will be described later with reference to FIG. The abnormality diagnosis unit 102 receives the consumption ratio transition report data 122 received from the inter-sensor water consumption ratio index calculation unit 101, diagnoses the presence or absence of an abnormality in the water supply network, and reports the abnormality report data 123 as the diagnosis result. Data 124 is output. Details of the operation of the abnormality diagnosis unit 102 will be described later with reference to FIG.

FIG. 2 is a hardware block diagram of the abnormality detection apparatus 100 of the present embodiment. In FIG. 2, an abnormality detection apparatus 100 for a water supply facility network includes a CPU (Central Processing Unit) 201, a memory 202, a media input / output unit 203, an input unit 205, a communication control unit 204, a display unit 206, A peripheral device interface 207 and a bus 210 are included.

CPU 201 executes a program on memory 202. The memory 202 temporarily stores programs, tables, and the like. The media input / output unit 203 holds programs, tables, and the like. The input unit 205 is a keyboard, a mouse, or the like. The communication control unit 204 is connected to the network 220. The display unit 206 is a display that displays various types of information. The peripheral device interface 207 is an interface such as a printer. The bus 210 interconnects the CPU 201, the memory 202, the media input / output unit 203, the input unit 205, the communication control unit 204, the display unit 206, and the peripheral device interface 207.

As is clear from the comparison between FIG. 1 and FIG. 2, the abnormality detection apparatus 100 for the water supply network in FIG. 1 is realized by the CPU 201 executing the program.

FIG. 3 is a configuration diagram of a water supply facility network that is detected by the abnormality detection device 100 of the water supply facility network. FIG. 3 shows a distribution reservoir 301 for supplying water to the water supply network, water distribution areas 331 to 332 of the water supply network, and a water distribution pipe network in the water supply network by a solid line. In the distribution pipe network, flow rate measuring devices 311 to 314 are installed, in the distribution district 331, pressure measuring devices 321 to 324 are installed, and in the distribution district 332, pressure measuring devices 325 to 328 are installed.

In the water supply facility network targeted by the abnormality detection device 100 of the water supply facility network of this embodiment, at least one water distribution area has three or more pressure measuring instruments in the water distribution area.

The flow rate measuring devices 311 to 314 measure the flow rate or flow velocity of the water flowing through the pipe where the flow rate measuring device is positioned. The pressure measuring devices 321 to 328 measure the pressure or head of water flowing through the pipe where each pressure measuring device is positioned.

The flow rate measuring devices 311 to 314 and the pressure measuring devices 321 to 328 measure, for example, at regular time intervals. Each time the flow rate measuring devices 311 to 314 or the pressure measuring devices 321 to 328 perform measurement, the measured values are sequentially sent to the water facility network administrator through supervisory control and data acquisition system of the water facility network, for example. It is done. The supervisory control and data acquisition system of the water supply network organizes and records the received measurement values as time series data in time series. The time series data measured by the pressure measuring instruments 321 to 328 and recorded in time series order by the supervisory control and data acquisition system of the water supply network is referred to as pressure measurement data 111. Details of the supervisory control of the water supply network and the data acquisition system will be described later with reference to FIG.

FIG. 4 is a block diagram of a form in which the water facility network administrator 402 collects data related to the water facility network and manages the water facility network using the abnormality detection device 100 of the water facility network. .

In FIG. 4, a water facility network administrator 402 includes meter data 421 including pressure measurement data, water facility customer data 422, water facility network GIS (Geographical Information System) data 423, and water facility network data. The operation data 424 and the asset data 425 of the water supply facility network are managed. A water supply facility network administrator 402 manages the data 421 to 425 in a water supply facility network management space 451.

Meter data 421 including pressure measurement data is obtained by measuring measured values measured by a plurality of measuring instruments (for example, flow measuring instruments 311 to 314 and pressure measuring instruments 321 to 328) arranged in the water supply network in time series. It is the time series data described. Meter data 421 including pressure measurement data includes pressure measurement data 111 in part or in whole.

Each time the supervisory control and data acquisition system 411 of the water supply network receives a measurement value at a new measurement time from a measuring instrument installed in the water supply network, the measurement value at the new measurement time is received by pressure measurement. The meter data 421 including data is added and updated in chronological order. The supervisory control and data acquisition system 411 of the water supply network sequentially transmits the meter data 421 including the pressure measurement data to the administrator 402 of the water supply network.

The water facility network customer data 422 is information about customers of the water facility network. For example, the number and distribution of customers of the water supply network, past water consumption and payment information can be included.

The GIS data 423 of the water supply facility network is position information and structure information of piping, measuring equipment, and equipment in the water supply facility network. For example, it is possible to include geographical position information of piping included in the water supply facility network, layout of the piping network, installation position information of flow rate measurement devices and pressure measurement devices, and installation position information of water distribution pumps and reservoirs.

The operation data 424 of the water supply network is equipment operation and status information for operating the water supply network. For example, information indicating the opening / closing of a valve that affects the amount of water flowing through a pipe of a water supply facility network or the operating status of a pump can be included.

The asset data 425 of the water supply facility network is physical or chemical information about asset information of elements and devices constituting the water supply facility network and the surrounding environment of the water supply facility network. For example, information indicating the material and age of pipes in the water supply network, the repair history and accident history of pipes and other equipment can be included. Moreover, the information on the chemical properties of the soil around the pipes installed in the water supply facility network and the physical information on the buildings existing inside the water supply facility network can be included.

The water facility network management space 451 is a physical space and resource space (for example, a building owned by the water facility network administrator 402) that can be used by the water facility network administrator 402 to manage the water facility network. And equipment devices, computers, electronic storage media, and recording media such as paper).

A water supply facility network administrator 402 may receive external data 431 from an individual or organization that is not necessarily the same as the water facility network administrator. The external data 431 is data that the water supply facility network administrator 402 acquires for managing the water supply facility network. For example, weather, weather information, and event information that affects water consumption of the water supply facility network are stored. Can be included.

The water supply facility network administrator 402 manages these data 421 to 425 and 431 and transmits the pressure measurement data 111 to the abnormality detection apparatus 100 of the water supply facility network via the input / output interface 441. The water supply facility network administrator 402 receives the output data group 121 from the water facility network abnormality detection apparatus 100 via the input / output interface 441. The administrator 402 of the water supply network manages the output data group 121 received from the abnormality detection apparatus 100 of the water supply network and the data 421 to 425 and 431 managed by the administrator 402 of the water supply network. To use.

The input / output interface 441 is an interface for the administrator 402 of the water supply network to transmit the pressure measurement data 111 and receive the output data group 121. Details of the input / output interface 441 will be described later with reference to FIG.

The abnormality detection device 100 of the water supply facility network is managed in the abnormality detection service management space 452 by the administrator 401 of the abnormality detection device. The anomaly detection service management space 452 is a physical space and resource space that can be used by the anomaly detection device administrator 401 for managing the anomaly detection service (for example, a building owned by the anomaly detection device 100 administrator 401). Objects, equipment, computers, electronic storage media, and recording media such as paper). Part or all of the abnormality detection service management space 452 may coincide with the water supply network management space 451.

FIG. 5 is a data configuration diagram showing an example of the consumption ratio transition report data 122. The operation details of the inter-sensor water consumption ratio index calculation unit 101 will be described with reference to FIG.

The inter-sensor water consumption ratio index calculation unit 101 calculates an inter-sensor water consumption ratio index from the pressure measurement data 111 for each measurement time. More specifically, the inter-sensor water consumption ratio index at a certain measurement time t is, for example, when four or more pressure measuring instruments are installed in the same water distribution area, four different ones installed in the same water distribution area. It can be obtained by calculating the value of the following equation with respect to the pressure measurement value at the measurement time t of the pressure measuring instrument.

here,
S1 to S4: Pressure measuring devices (pressure measuring devices corresponding to four pressure measuring devices among the pressure measuring devices 321 to 324 and 325 to 328)
H1 to H4: head measured by S1 to S4 [m]
It is.

When there is no pressure measurement value at the measurement time t by the pressure measurement device, for example, the pressure measurement value at the measurement time closest to the measurement time t in the pressure measurement device is used.

When there are four or more pressure measuring devices in the same water distribution area, the inter-sensor water consumption ratio index calculation unit 101 calculates the formula (1) for selecting all possible pressure measuring devices.

Furthermore, when three or more pressure measuring instruments are installed in the same water distribution area, the inter-sensor water is measured with respect to the measurement value at the measurement time t by three different pressure measuring instruments installed in the same water distribution area. The consumption ratio index calculation unit 101 calculates a value of the following formula, for example.

When the pressure measurement value does not exist at the measurement time t, the pressure measurement value at the measurement time closest to the measurement time t in the pressure measurement device is used.

When there are three or more pressure measuring devices in the same water distribution area, the inter-sensor water consumption ratio index calculation unit 101 calculates Equation (2) for all possible pressure measuring device selection methods.

The inter-sensor water consumption ratio index calculation unit 101 calculates (1) and (2) for all possible pressure measuring instrument combinations and all measurement times, and reports the consumption ratio transition from all the calculation results. Data 122 is generated and output. The consumption amount transition report data 122 is output as data having a matrix structure as shown in FIG. 5, for example.

FIG. 5 shows a measurement time column 501 and calculation result

columns

502 and 503 of the inter-sensor water consumption ratio index for each combination of pressure measuring instruments. In the calculation result column of the inter-sensor water consumption ratio index such as the

calculation result column

502 or 503 of the inter-sensor water consumption ratio index, the data in the same column includes the inter-sensor water consumption index calculation for the same combination of pressure measuring instruments. Store the result. The data in the same row stores the inter-sensor water consumption index calculation result for each combination of pressure measuring devices for the same measurement time. Here, the measurement time in the measurement time column 501 is a representative measurement time for the pressure measurement value used for calculating the inter-sensor water consumption ratio index represented by the numerical value in the other column of the row (for example, the most measurement time). The time and the average of the measurement times of all the pressure measuring instruments used).

The inter-sensor water consumption ratio index calculation unit 101 transmits the consumption ratio transition report data 122 including the inter-sensor water consumption ratio index to the abnormality diagnosis unit 102 and the output data group including the consumption ratio transition report data 122 121 is transmitted to the input / output interface 441.

FIG. 6 is a characteristic diagram showing a graph of a time-series plot of the inter-sensor water consumption ratio index calculated for a certain combination of pressure measuring instruments (S1, S2, S3). Here, S1 thru | or S3 represent the three different pressure measuring instruments installed in the same water distribution area. In FIG. 6, the horizontal axis of the graph represents the measurement time, and the vertical axis represents the water consumption ratio index.

Details of the operation of the abnormality diagnosis unit 102 will be described with reference to FIG. In FIG. 6, the abnormality diagnosis unit 102 receives consumption ratio transition report data 122 from the inter-sensor water consumption ratio index calculation unit 101. The abnormality diagnosis unit 102 according to the present embodiment finds a statistically large deviation from a certain value in the time series data of the inter-sensor water consumption ratio index represented by the consumption ratio transition report data 122, thereby detecting the inter-sensor water consumption. Diagnose the occurrence of an abnormality in the water distribution area where the pressure measuring instrument using the pressure measurement value is used to calculate the quantity ratio index.

For example, in FIG. 6, when the inter-sensor water consumption ratio index 601 is set to I (S1, S2, S3), the inter-sensor water consumption ratio index 601 takes a substantially constant value until time 602. Since the time 602, the inter-sensor water consumption ratio index 601 deviates greatly from the fixed value, so the abnormality diagnosis unit 102 determines that an abnormality has occurred in the water distribution area where the pressure measuring instruments S1, S2, and S3 are installed. .

A known technique can be used to determine whether the deviation is statistically significant. For example, when an appropriate threshold value (abnormality judgment value) is set from the magnitude of the deviation of the time series data of the inter-sensor water consumption ratio index for the same combination of pressure measuring instruments in the past, and the deviation exceeding the threshold is observed In addition, it is judged that the deviation is statistically significant. Further, for example, when there is a high frequency of departure exceeding the threshold, or when the duration that takes a value exceeding the threshold is long, it is determined that the departure is statistically significant.

Supplementary information about the presence / absence determination of abnormality in the abnormality diagnosis unit 102 and the inter-sensor water consumption ratio index.

The inter-sensor water consumption ratio index expressed by equations (1) and (2) indicates that the equipment that increases the water pressure in a specific pipeline in the distribution area, such as a pump, does not operate in the distribution area. Show that if water consumption at each point in the district meets appropriate assumptions such as similarity as a function of time, and if there is no leakage in the distribution district, it will be a theoretically constant value. Can do. When an abnormality such as water leakage occurs, the inter-sensor water consumption ratio index represented by equations (1) and (2) generally does not become a constant value. The abnormality diagnosis unit 102 of the abnormality detection apparatus 100 of the present embodiment uses the hydraulic characteristics in the distribution pipe network to monitor deviations of the indices represented by the expressions (1) and (2) from a certain value. By doing so, the occurrence of an abnormality near the pressure measuring instrument used for the index calculation is detected.

The inter-sensor water consumption ratio index (for example, the formula (1), the formula (2)) used in the abnormality detection apparatus 100 for the water supply facility network of the present embodiment is the difference and ratio of the pressure measurement values by a plurality of pressure measuring instruments. It is characterized by using. The difference between the pressure measurement values of the two pressure measuring instruments positioned in the same water distribution area is determined by the pipe connecting the two pressure measuring instruments and the flow rate flowing through the pipe. Therefore, the local information regarding the amount of water flowing through the area divided by the pressure measuring instrument in each water distribution area can be obtained by taking the difference between the plurality of pressure measurement values. Further, by taking the ratio of the differences, it is possible to automatically cancel out fluctuations that commonly affect the amount of water flowing in the areas divided by the pressure measuring instrument in each water distribution area.

The inter-sensor water consumption ratio index is not limited to the implementation example of Equation (1) and Equation (2). For example, any function of the value on the right side of the equations (1) and (2) may be used. As can be easily shown, even if an arbitrary function of the values on the right side of the expressions (1) and (2) is used as the inter-sensor water consumption ratio index, the inter-sensor water consumption given by the expressions (1) and (2) When the quantity ratio index becomes a constant value, the function becomes constant. In addition, when an abnormality occurs in the water supply network and the inter-sensor water consumption ratio index given by equations (1) and (2) deviates from a certain value, the right side of equations (1) and (2) The inter-sensor water consumption ratio indicator also deviates from a certain value as an arbitrary function of the value. Further, for example, a linear expression using a denominator and a numerator difference of the expressions (1) and (2) may be used as an index. As can be easily shown, when the inter-sensor water consumption ratio index in equations (1) and (2) is a constant value, if the coefficient is adjusted appropriately, equations (1) and (2) The linear expression using the difference between the denominator and the numerator is also a constant value.

Furthermore, when the abnormality diagnosis unit 102 of this embodiment detects the occurrence of an abnormality, the abnormality diagnosis unit 102 estimates the occurrence position based on the consumption ratio transition report data 122. Specifically, for example, the inter-sensor water consumption ratio indicators that deviate statistically significantly in the consumption ratio transition report data 122 are listed in descending order of the degree of deviation.

Here, a known technique can be used for evaluating the degree of deviation. For example, the deviation in the past several hours or days in the time-series data of the inter-sensor water consumption ratio index, and the deviation of the time-series data of the inter-sensor water consumption ratio index in the minutes or hours after the occurrence of the determined abnormality Listed in descending order of ratio. Alternatively, for example, threshold values (abnormality determination values) are set for each inter-sensor water consumption ratio index, and are listed in descending order of the number of times per unit time that the index calculation value deviates from the threshold value. Alternatively, for example, the index calculation values are listed in the order of long time when the index calculation value deviates continuously from the threshold value. Alternatively, for example, the magnitude of the above-described deviation ratio, the number of deviations per unit time, and the length of time for which the deviation has continued are comprehensively evaluated with appropriate weights.

In the time-series data of the inter-sensor water consumption ratio index listed in descending order of the degree of deviation, a pair of pressure measuring instruments whose difference is included in the inter-sensor water consumption ratio index having a large degree of deviation (for example, (1) If the inter-sensor water consumption ratio index given by the equation is given, a large point is given to (S1, S2) and (S3, S4)), and the pressure that includes the difference in the inter-sensor water consumption ratio index with a small degree of deviation Give a small point to a pair of instruments. For all the inter-sensor water consumption ratio indicators diagnosed as having a statistically significant deviation, points are individually given to pairs of pressure measuring instruments whose differences are included in the inter-sensor water consumption ratio indicators. Sum all points for each pair of pressure gauges.

The abnormality diagnosing unit 102 of the present embodiment is abnormal in the water distribution area indicated by the pair of pressure measuring instruments that has acquired the most points, for example, in the vicinity of the pipe connecting the pressure measuring instruments S1 and S2 if (S1, S2). Diagnose it as the most probable candidate for the location.

The abnormality diagnosis unit 102 outputs the abnormality report data 123 and other data 125 to the input / output interface 441 as a part of the output data group 121.

The abnormality report data 123 includes an abnormality occurrence determination result by the abnormality diagnosis unit 102, and estimated abnormality position information when it is determined that an abnormality has occurred. For example, the estimated abnormal position designates a sub-division divided by the pressure measuring instrument with reference to the pressure measuring instrument arranged in the water distribution area, such as “near the pipe connecting the pressure measuring instruments S1 and S2.” The abnormality report data 123 can be included in the descending order of the points at which one or a plurality of small district candidates are acquired as estimated abnormal positions.

The output data group 121 can include other data 124. The other data 124 can include the information of the abnormality report data 123 converted into a different format. That is, the other data 124 includes, for various devices and applications used by the water facility network manager 402, whether or not an abnormality has occurred in the water facility network and estimated position information required by those devices and applications. be able to. The various devices and applications used by the water facility network administrator 402 include, for example, devices that plan emergency response in the event of an abnormality, devices that plan pipeline renewal plans, and water leaks for each district of the water facility network Includes equipment for risk assessment.

The other data 124 can include an operation report when the abnormality detection apparatus 100 of the water supply facility network operates in cooperation with another application. For example, when the administrator 402 of the water supply facility network uses a system that automatically generates an alarm when an abnormality is detected, when the abnormality detection device 100 of the water supply facility network detects an abnormality, it responds to the estimated abnormality occurrence position. Data may be included that report that the warning was proposed.

FIG. 7 is a flowchart showing processing of the abnormality detection apparatus 100 in the water supply facility network. In FIG. 7, in step start 701, the abnormality detection apparatus 100 for the water supply network starts processing. In the water facility network abnormality detection device 100, the communication control unit 204 receives the pressure measurement data 111 transmitted from the input / output interface 441 as a data input unit (S702).

Next, the CPU 201, that is, the inter-sensor water consumption ratio index calculation unit 101 calculates the inter-sensor water consumption ratio index based on the pressure measurement data 111 received by the communication control unit 204 (S703), and the calculation result. The consumption ratio transition report data 122 is generated from the data, and the generated consumption ratio transition report data 122 is output to the input / output interface 441 and the abnormality diagnosis unit 102 (S704).

The abnormality diagnosis unit 102 determines the presence / absence of abnormality from the consumption ratio transition report data 122 (S705). If it is determined in step S705 that there is no abnormality, the process returns to step S702, and if there is an abnormality in step S705. If it is determined, the position of occurrence of abnormality is estimated (S706), and the process proceeds to step S707.

In step S707, the abnormality diagnosis unit 102 generates abnormality report data and other data based on the data obtained in step S706, and transmits the generated abnormality report data and other data to the input / output interface 441. Then, the process returns to step S702.

FIG. 8 shows an example of an output screen displayed by the input / output interface 441 of the present embodiment to the administrator 402 of the water supply network.

The functional details of the input / output interface 441 will be described with reference to FIG. The input / output interface 441 transmits the pressure measurement data 111 among the information managed or owned by the water facility network administrator 402 to the abnormality detection device 100 of the water facility network. Further, the input / output interface 441 receives the output data group 121 from the abnormality detection apparatus 100 of the water supply facility network.

The input / output interface 441 sequentially transmits / receives input / output data. For example, transmission of input data and reception of the output data group 121 are performed at intervals equal to or smaller than the measurement time intervals of the pressure measuring devices 321 to 328.

The input / output interface 441 includes an output data group 121 received from the water facility network anomaly detection device 100, meter data 421 including pressure measurement data and customer data 422 of the water facility network managed by the water facility network administrator 402. The GIS data 423 of the water supply network, the operation data 424 of the water supply network, and the asset data 425 of the water supply network can be simultaneously displayed in the management space 451 of the water supply network. Further, when the water facility network administrator 402 obtains the external data 431 from an external provider, the input / output interface 441 can simultaneously display the data in the water facility network management space 451.

The screen 800 is an example of a screen displayed by the input / output interface 441 according to the present embodiment to the manager 402 of the water supply network. The screen 800 includes a consumption ratio transition report data display unit 801, an abnormality report data display unit 802, other data display unit 803, a GIS data display unit 811 of a water supply network, and meter data display including pressure measurement data. A unit 812, an operation data display unit 813 for the water facility network, a customer data display unit 814 for the water facility network, an asset data display unit 815 for the water facility network, and an external data display unit 816.

The consumption ratio transition report data display unit 801 displays the consumption ratio transition report data 122. For example, the water facility network administrator 402 displays the time-series data of the water consumption ratio index selected on the screen 800 as a graph.

The abnormality report data display unit 802 displays the abnormality report data 123. For example, the estimated position of occurrence of an abnormality is displayed in characters using the position of the pressure measuring instrument as a reference, such as “near the pipeline connecting the pressure measuring instruments S1 and S2.”

Other data display unit 803 displays other data 124. For example, when the water facility network administrator 402 operates the water facility network abnormality detection device 800 in conjunction with another application, the water facility network abnormality detection device 800 and the other application Displays information about the interaction.

The water facility network GIS data display unit 811 displays the water facility network GIS data 423 managed by the water facility network administrator 402. For example, the layout of the water supply network is displayed in a graph format.

The meter data display unit 812 including pressure measurement data displays meter data 421 including pressure measurement data managed by the administrator 402 of the water supply network. For example, the administrator 402 of the water supply network displays the time series data of the pressure measuring device or flow rate measuring device selected on the screen 800 as a graph.

The operation data display unit 813 of the water supply facility network displays the operation data 424 of the water supply facility network managed by the administrator 402 of the water supply facility network. For example, the administrator 402 of the water supply network displays the time series data of the discharge pressure of the pump selected on the screen 800 and the time series data of the valve opening / closing status as a graph.

The water facility network customer data display unit 814 displays the water facility network customer data 422 managed by the water facility network administrator 402. For example, the water supply facility network administrator 402 displays the customer information selected on the screen 800.

The water facility network asset data display unit 815 displays the water facility network asset data 425 managed by the water facility network administrator 402. For example, the water supply facility network administrator 402 displays asset information of a pipeline or equipment selected on the screen 800.

FIG. 9 is another example of an output screen displayed by the input / output interface 441 of the present embodiment to the manager 402 of the water supply network. The input / output interface 441 may display the output screen shown by the screen 900 to the manager 402 of the water supply network.

In the implementation example of the output screen represented by the screen 900, instead of displaying the estimated occurrence position of the abnormality in the abnormality report data display unit 802 in words, the corresponding district is displayed over the GIS data display unit 911 of the water supply network. The geographical location in the water supply network of a small area designated by a plurality of pressure measuring devices (eg, “near the pipeline connecting the pressure measuring devices S1 and S2”) is part of the GIS data 423 of the water supply network. It can be memorized in advance.

The system and method for monitoring resources in the water supply network given in Patent Document 1 generates estimated normal values for various measurement values using a plurality of types and a large amount of data received from an administrator of the water supply network. The abnormality detection device 100 for the water supply network according to this embodiment uses only the pressure measurement value in the water supply network to detect the occurrence of abnormality in the water supply network based on the estimated normal value. Anomalies are detected based on the ratio of water consumption ratio.

It can be shown that the abnormality detection device 100 for the water supply network according to the present embodiment has high abnormality occurrence detection accuracy particularly in the following cases as compared with the related art. The water consumption qi of user i (i = 1,..., N) in each water distribution area is a time function, using a certain common function f (t).

It can be expressed as Here, qi ′ is a constant determined by the water consumption of each user. At this time, the water consumption index represented by equations (1) and (2) indicates that water leakage occurs in the water distribution area under appropriate assumptions such as pumps and other equipment not operating in the water distribution area. If not, it becomes constant. Therefore, the occurrence of an abnormality can be detected from a slight deviation from the equations (1) and (2). Therefore, when the water consumption pattern of the user is similar in the distribution area, such as the entire distribution area is a residential area, the entire distribution area is a similar industrial area, etc. The abnormality detection apparatus 100 can be expected to have high abnormality detection accuracy.

Furthermore, the abnormality detection device 100 for the water supply network according to the present embodiment detects an abnormality by monitoring an inter-sensor water consumption ratio index that should take a constant value when there is no abnormality. It can be expected that the apparatus can be used by using only the measurement data.

In the present embodiment, the pressure measurement values of the plurality of pressure measuring instruments 321 to 324 and 325 to 328, and based on the plurality of pressure measurement values having different measurement times, a pair of pressure measuring instruments A first difference (a numerator value of the expression (1) or (2)) indicating a difference between pressure measurement values of the pressure measuring instrument and at least one of the plurality of pressure measuring instruments is the pair of pressures. An inter-sensor water consumption ratio index indicating a ratio with a second difference (a value in the denominator of the equation (1) or (2)) indicating a difference between pressure measurement values of a pair of pressure measuring devices different from the measuring device. Based on the calculation result, it is possible to diagnose the presence or absence of abnormality in the water distribution area where any one of the plurality of pressure measuring instruments is arranged. At this time, the first difference is calculated as a plurality of first differences, and the second difference is calculated as a second difference. The first difference obtained by the calculation and the calculation are obtained. By calculating a plurality of inter-sensor water consumption ratio indexes indicating the ratios with the respective second differences, it is possible to diagnose the presence or absence of an abnormality in the water distribution area over a wide range.

Further, when the abnormality diagnosis unit 102 diagnoses the occurrence of abnormality, the first difference or the second difference constituting the inter-sensor water consumption ratio index indicating an abnormal value among the plurality of inter-sensor water consumption ratio indices. The position of the pipe in which the pair of pressure measuring instruments that are the measurement source of the measurement value corresponding to at least one of the differences is arranged can be estimated as the occurrence position of the abnormality.

According to the present embodiment, only a small amount and a small number of types of data are received from the manager 402 of the water supply network, the occurrence of abnormality in the water supply network is automatically detected by a simplified analysis method, and the occurrence position is estimated. can do. At this time, for example, only the measurement data obtained by the pressure measuring instrument is received from the manager 402 of the water supply facility network, and the abnormality occurrence detection accuracy and the position estimation accuracy may be improved in the water supply facility network satisfying at least a specific condition. It is possible to provide an abnormality detection device that does not decrease.

According to the present embodiment, the presence or absence of piping abnormality in the water supply network is diagnosed based on whether or not the inter-sensor water consumption ratio index obtained from the measurement value of the pressure measuring instrument deviates from a certain value. Therefore, when a user's water consumption pattern resembles in a water distribution area, the abnormality of piping in a water supply network can be detected with high precision. In addition, according to the present embodiment, since the inter-sensor water consumption ratio index is calculated only from the measurement value of the pressure measuring instrument, collection / reference of external data, periodic analysis from past data, inter-sensor correlation analysis, etc. Without performing this operation, it is possible to diagnose the presence or absence of piping abnormality in the water supply facility network, and to reduce preparation and analysis labor for abnormality detection.

In this embodiment, an example of an abnormality detection device for a water supply network that detects an abnormality in a water supply network using only pressure measurement data even when a user's water consumption pattern varies greatly from one small area to another in a water distribution area. Will be explained.

FIG. 10 is a configuration diagram illustrating an abnormality detection apparatus 1000 for a water supply network in the second embodiment. In the abnormality detection device 1000 for the water supply network of the present embodiment, the description of the components having the same functions as those already described with reference to FIG. 1 is omitted.

The abnormality detection apparatus 1000 for the water supply network according to the present embodiment includes an inter-sensor water consumption ratio index calculation unit 101, an abnormality diagnosis unit 1002, and a database 1003.

The abnormality diagnosis unit 1002 of this embodiment stores the time series data of the inter-sensor water consumption ratio index output from the inter-sensor water consumption ratio index calculation unit 101 in the database 1003 as a data storage unit. When the consumption patterns of all users in the water distribution area are not similar, it is expected that the inter-sensor water consumption ratio index given by the equations (1), (2), etc. does not take a constant value. Therefore, the abnormality diagnosis unit 1002 of this embodiment monitors the inter-sensor water consumption ratio index, and does not deviate from a constant value, but significantly deviates from time-series data indicated by past data stored in the database 1003. By detecting it, the occurrence of abnormality is detected. A known technique such as machine learning can be used to detect a significant deviation from the time-series data indicated by past data.

For example, the time-series data indicated by the past data is time-series data having periodicity, and the inter-sensor water consumption ratio index calculated from the measured values of each pressure measuring instrument is the inter-sensor water consumption having periodicity. In the case of the quantity ratio index, the inter-sensor water consumption ratio index having periodicity is accumulated in the database 1003 as the consumption ratio transition report data 122 including the past inter-sensor water consumption ratio index. At this time, the abnormality diagnosis unit 1002 compares the calculation result of the inter-sensor water consumption ratio index calculation unit 101 with the past inter-sensor water consumption ratio index accumulated in the database 1003, and the inter-sensor water consumption ratio index. When the calculation result of the calculation unit 101 is a value obtained from the past inter-sensor water consumption ratio index and deviates from the abnormality determination value indicating periodicity, it can be diagnosed that an abnormality has occurred.

The database 1003 stores the past calculated value of the inter-sensor water consumption ratio index for each combination of pressure measuring instruments.

Further, the abnormality diagnosis unit 1002 of the present embodiment performs estimation of the abnormality occurrence position using the degree of deviation from the time series data indicated by past data. A known technique in the statistical field can be used for evaluating the magnitude of the deviation.

Similar to the abnormality diagnosis unit 102 of the first embodiment, the abnormality diagnosis unit 1002 of the present embodiment gives a large score to a pair of pressure measuring instruments whose difference is included in the inter-sensor water consumption ratio index having a large deviation, and the pressure measurement The estimated position of occurrence of abnormality is calculated by summing the scores from all deviations for each pair of vessels.

In the present embodiment, the inter-sensor water consumption ratio index calculation unit 101 has a plurality of inter-sensor water consumption ratios having periodicity obtained from pressure measurement values of a plurality of pressure measuring instruments belonging to any water distribution district. Each index is accumulated in the database 1003 as a past inter-sensor water consumption ratio index, and the abnormality diagnosis unit 1002 calculates the calculation result calculated by the inter-sensor water consumption ratio index calculation unit 101 based on the pressure measurement data 111 and the database. The abnormality determination value having periodicity obtained from the past inter-sensor water consumption ratio index accumulated in 1003 is compared, and the calculation result of the inter-sensor water consumption ratio index calculation unit 101 indicates periodicity. When deviating from the abnormality determination value, it can be diagnosed that an abnormality has occurred.

According to this embodiment, the occurrence of an abnormality is detected by detecting a significant deviation from the time series data indicated by past data stored in the database 1003. Even if the water consumption pattern of the water is very different (when the user's consumption pattern is not similar), the water consumption ratio indicator between the sensors obtained from the pressure measurement value of the pressure measuring instrument can be used It can be detected with high accuracy.

In the present embodiment, an example of an abnormality detection device for a water supply network that uses data other than pressure measurement data when an administrator of the water supply network is provided will be described.

FIG. 11 is a configuration diagram illustrating a water facility network abnormality detection apparatus 1100 according to the third embodiment. In the water facility network abnormality detection apparatus 1100 of the present embodiment, the description of the components having the same functions as those already described with reference to FIGS. 1 to 10 is omitted. .

The water facility network abnormality detection device 1100 of this embodiment includes an inter-sensor water consumption ratio index calculation unit 101, an abnormality diagnosis unit 1102, and a database 1003.

The anomaly detection apparatus 1100 for the water supply network according to this embodiment receives the input data group 1111 and outputs the output data group 121.

The input data group 1111 includes, for example, meter data 421 including pressure measurement data, water facility network customer data 422, water facility network GIS data 423, water facility network operation data 424, and water facility network assets. Data 425 and external data 431 can be included.

Similar to the abnormality diagnosis unit 1002 of the second embodiment, the abnormality diagnosis unit 1102 of the present embodiment stores time series data of the inter-sensor water consumption ratio index output from the inter-sensor water consumption ratio index calculation unit 101 as the database 1003. Save to. The abnormality diagnosis unit 1102 of this embodiment monitors the inter-sensor water consumption ratio index as in the case of the abnormality diagnosis unit 1002 of Example 2, and deviates from the time-series data indicated by past data stored in the database 1003. The occurrence of abnormality is detected by detecting. A known technique such as machine learning can be used to detect deviation from time-series data indicated by past data.

However, the abnormality diagnosis unit 1102 of this embodiment uses the input data group 1111 provided by the water supply facility network administrator 402 at the same time to correct the diagnosis of the occurrence of abnormality.

For example, when the operation data 424 of the water supply network and the GIS data 421 of the water supply network are provided from the administrator 402 of the water supply network in addition to the pressure measurement data 111, the abnormality diagnosis unit 1102 of this embodiment Diagnose with such correction.

Suppose that the inter-sensor water consumption ratio index for a certain combination of pressure measuring instruments deviates significantly from normal behavior. At this time, the operation data 424 of the water supply network and the GIS data 421 of the water supply network are different from the normal (normal) pump near the pressure measuring instrument used for the inter-sensor water consumption ratio index. , For example, the abnormality diagnosis unit 1102 of this embodiment determines that the deviation in the inter-sensor water consumption ratio index is due to the operation of the pump, and does not diagnose the occurrence of abnormality.

In other words, the abnormality diagnosis unit 1102 is a device installed in the water distribution area including the estimated occurrence location of the abnormality (the map information system data) 423 and the input GIS data (map information system data) 423 of the water supply network. If the pump is abnormal, correct the diagnosis of the occurrence of abnormality.

Further, for example, when customer data 422 of the water supply network and GIS data 421 of the water supply network are provided from the administrator 402 of the water supply network in addition to the pressure measurement data 111, the abnormality diagnosis unit 1102 of this embodiment Diagnose with the following corrections.

It is assumed that the customer data 422 of the water supply network and the GIS data 421 of the water supply network indicate that the customers in a plurality of small districts separated by the pressure measuring devices installed in the water supply network are similar. In this case, the abnormality diagnosis unit 1102 of this embodiment assumes that the normal time series data estimated for the water consumption ratio index for the combination of the pressure measuring instruments is a constant value, and the significant value from the constant value is significant. Diagnose the occurrence of anomalies by observing any deviations.

At this time, the abnormality diagnosis unit 1102 calculates the calculation result of the inter-sensor water consumption ratio index calculation unit 101 based on the input customer data 422 of the water supply network and the GIS data (map information system data) 423 of the water supply network. Select the inter-sensor water consumption ratio index calculated from the pressure measurement value of the pressure measuring instrument belonging to a specific water distribution area (a plurality of sub-divisions separated by the pressure measuring instrument), and select the water consumption between the selected sensors. An abnormality determination value for diagnosing a pressure measuring instrument belonging to a specific water distribution area is generated from the quantity ratio index, and the presence or absence of abnormality in the specific water distribution area is diagnosed using the generated abnormality determination value.

Conversely, when the customer data 422 of the water supply network and the GIS data 421 of the water supply network indicate that the water consumption pattern of the customer in a certain small area is not similar, the abnormality diagnosis unit 1102 of the present embodiment performs Similar to the abnormality diagnosis unit 1002 of Example 2, a function estimated from past data and other information using a known technique is used as estimated normal time series data, and a significant deviation from the estimated normal time series data is observed. Diagnose that an abnormality has occurred.

For example, when the asset data 425 of the water supply network and the GIS data 421 of the water supply network are provided from the administrator 402 of the water supply network in addition to the pressure measurement data 111, the abnormality diagnosis unit 1102 of the present embodiment Diagnose with the following corrections.

Assume that the asset data 425 of the water supply network includes information indicating that there was an accident or abnormality such as water leakage in a small area where the water supply network is located. Furthermore, it is assumed that the pressure measurement data at the time of the accident is provided from the administrator 402 of the water supply network. At this time, with respect to the inter-sensor water consumption ratio index associated with the small area where the accident and abnormality occurred, the abnormality diagnosis unit 1102 of the present embodiment performs the time series at the time of the accident simultaneously with the past time series data estimated to be normal. Data is used for diagnosis of occurrence of abnormality. A known technique such as supervised machine learning can be used for the diagnosis.

Further, for example, when the external data 431 is provided from the water supply facility network administrator 402 in addition to the pressure measurement data 111, the abnormality diagnosis unit 1102 of the present embodiment performs the following diagnosis with correction.

The abnormality diagnosis unit 1102 of this embodiment generates estimated normal time series data that varies depending on the conditions indicated by the external data 431. The abnormality diagnosis unit 1102 of this embodiment selects estimated normal time series data associated with a condition closest to the current condition from a plurality of estimated normal time series data stored in the database 1103, and whether there is any deviation from this By detecting this, the presence or absence of abnormality is diagnosed.

FIG. 12 is a block diagram of a mode in which the road facility network administrator 402 collects data related to the water facility network and manages the water facility network using the abnormality detection device 1100 of the water facility network. .

The administrator 401 of the water facility network abnormality detection apparatus receives the input data group 1111 from the input / output interface 1241 and outputs the output data group 121.
The input / output interface 1241 of the present embodiment transmits the input data group 1111 and receives the output data group 121 to the administrator 401 of the abnormality detection apparatus for the water supply network.

According to the present embodiment, when data different from the pressure measurement value of the pressure measuring instrument is input, the diagnosis result obtained from the inter-sensor water consumption ratio index can be corrected using the input data. it can.

Note that the present invention is not limited to the above-described embodiments, and includes various modifications. For example, when there is existing water leakage, the inter-sensor water consumption ratio index obtained from each pressure measuring instrument is not always constant and fluctuates, so the abnormality judgment value based on the fluctuating inter-sensor water consumption ratio index And using the generated abnormality determination value, it is possible to diagnose the occurrence of a new abnormality in the water supply network. Further, each of the above-described embodiments has been described in detail for easy understanding of the present invention, and is not necessarily limited to the one having all the configurations described.

In addition, each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files that realize each function can be stored in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

Also, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

, 100 water facility network abnormality detection device, 101 inter-sensor water consumption ratio index calculation part, 102 abnormality diagnosis part, 111 pressure measurement data, 122 consumption ratio transition report data, 123 abnormality report data, 321 to 328 pressure measuring instrument.

Claims

A water supply network that detects the occurrence of an abnormality in a water supply network comprising one or more water distribution areas including a pipe network for delivering water to consumers and a plurality of pressure measuring devices installed in the pipe network. An anomaly detection device,
A data input unit for inputting pressure measurement values of the plurality of pressure measuring devices;
Based on a plurality of pressure measurement values input to the data input unit, a first difference indicating a difference between pressure measurement values of a pair of pressure measurement devices among the plurality of pressure measurement devices, and the plurality of pressure measurement devices At least one of the pressure measuring instruments calculates an inter-sensor water consumption ratio index indicating a ratio with a second difference indicating a difference in pressure measurement values of a pair of pressure measuring instruments different from the pair of pressure measuring instruments. An inter-sensor water consumption ratio index calculation unit;
An abnormality diagnosing unit for diagnosing the presence or absence of an abnormality in a water distribution area where any one of the plurality of pressure measuring devices is arranged based on a calculation result of the inter-sensor water consumption ratio index calculating unit An anomaly detection device for a water supply facility network.
An abnormality detection device for a water supply network according to claim 1,
The inter-sensor water consumption ratio index calculation unit is:
Calculating a plurality of first differences as the first difference based on a plurality of pressure measurement values input to the data input unit and having different measurement times; A plurality of inter-sensor water consumption ratios indicating a ratio between each of the first differences obtained by the calculation and each of the second differences obtained by the calculation. An abnormality detection device for a water supply network characterized by calculating an index and outputting the calculation result to the abnormality diagnosis unit.
An abnormality detection device for a water supply network according to claim 2,
The abnormality diagnosis unit
A first inter-sensor water consumption ratio index that indicates an abnormal value among the plurality of inter-sensor water consumption ratio indices when the abnormality is diagnosed from the calculation result of the inter-sensor water consumption ratio index calculation unit. The position of a pipe where a pair of pressure measuring devices serving as measurement sources of pressure measurement values corresponding to at least one of the difference or the second difference is estimated as an abnormality occurrence position. An abnormality detection device for the water supply network.
An abnormality detection device for a water supply network according to claim 2,
The abnormality diagnosis unit
An abnormality detection apparatus for a water supply network characterized by diagnosing that there is an abnormality when a calculation result of the inter-sensor water consumption ratio index calculation unit deviates from an abnormality determination value indicating a constant value.
An abnormality detection device for a water supply network according to claim 2,
Data for accumulating a plurality of inter-sensor water consumption ratio indicators having periodicity obtained from pressure measurement values of a plurality of pressure measuring instruments belonging to any of the water distribution districts as past inter-sensor water consumption ratio indicators, respectively. Has an accumulator
The abnormality diagnosis unit
Comparing the calculation result of the inter-sensor water consumption ratio index calculation unit with the abnormality determination value having periodicity obtained from the past inter-sensor water consumption ratio index stored in the data storage unit, An abnormality detection device for a water supply network characterized by diagnosing the occurrence of an abnormality when a calculation result of an inter-water consumption ratio index calculation unit deviates from the abnormality determination value having the periodicity.
An abnormality detection device for a water supply network according to claim 3,
The abnormality diagnosis unit
The operation data of the water supply network and the map information system data of the water supply network are input to the data input unit, and the input operation data of the water supply network and the map information system data of the water supply network are estimated. An abnormality detection device for a water supply facility network, wherein when an abnormality of a device installed in a water distribution area including an abnormality occurrence position is indicated, the abnormality diagnosis is corrected normally.
An abnormality detection device for a water supply network according to claim 1,
The abnormality diagnosis unit
When customer data of the water supply facility network and map information system data of the water supply facility network are input to the data input unit, based on the input customer data of the water supply facility network and map information system data of the water supply facility network From the calculation results of the inter-sensor water consumption ratio index calculation unit, the inter-sensor water consumption ratio index calculated from the pressure measurement value of the pressure measuring instrument belonging to a specific water distribution area is selected, and the selected sensor Based on the inter-water consumption ratio index, an abnormality determination value for diagnosing the pressure measuring instrument belonging to the specific water distribution area is generated, and the generated abnormality determination value is used to detect an abnormality in the specific water distribution area. An abnormality detection device for a water supply network characterized by diagnosing the presence or absence.
A water supply network that detects the occurrence of an abnormality in a water supply network comprising one or more water distribution areas including a pipe network for delivering water to consumers and a plurality of pressure measuring devices installed in the pipe network. An anomaly detection method,
A data input step for inputting pressure measurement values of the plurality of pressure measuring devices;
Based on the plurality of pressure measurement values input in the data input step, a first difference indicating a difference between pressure measurement values of a pair of pressure measurement devices among the plurality of pressure measurement devices, and the plurality of pressure measurement devices At least one of the pressure measuring instruments calculates an inter-sensor water consumption ratio index indicating a ratio with a second difference indicating a difference in pressure measurement values of a pair of pressure measuring instruments different from the pair of pressure measuring instruments. A calculation step;
An abnormality diagnosis step of diagnosing the presence or absence of an abnormality in a water distribution area in which any one of the plurality of pressure measuring instruments is arranged based on the calculation result of the calculating step; A method for detecting abnormalities in the net.
An abnormality detection method for a water supply facility network according to claim 8,
In the calculating step,
Calculating a plurality of first differences as the first difference based on a plurality of pressure measurement values input at the data input step and having different measurement times; A plurality of inter-sensor water consumption ratios indicating a ratio between each of the first differences obtained by the calculation and each of the second differences obtained by the calculation. An abnormality detection method for a water supply network characterized by calculating an index.
An abnormality detection method for a water supply facility network according to claim 9,
In the abnormality diagnosis step,
The first difference or the second difference constituting the inter-sensor water consumption ratio index indicating an abnormal value among the plurality of inter-sensor water consumption ratio indices when the abnormality is diagnosed from the calculation result of the calculation step. An abnormality detection method for a water supply network characterized by estimating a position of a pipe in which a pair of pressure measuring devices as a measurement source of a pressure measurement value corresponding to at least one difference among them is disposed as an abnormality occurrence position.
An abnormality detection method for a water supply facility network according to claim 9,
In the abnormality diagnosis step,
An abnormality detection method for a water supply network characterized by diagnosing that there is an abnormality when a calculation result of the inter-sensor water consumption ratio index calculation unit deviates from an abnormality determination value indicating a constant value.
An abnormality detection method for a water supply facility network according to claim 9,
Data for accumulating a plurality of inter-sensor water consumption ratio indicators having periodicity obtained from pressure measurement values of a plurality of pressure measuring instruments belonging to any of the water distribution districts as past inter-sensor water consumption ratio indicators, respectively. Has an accumulation step,
In the abnormality diagnosis step,
The calculation result of the calculation step is compared with the abnormality determination value having periodicity obtained from the past inter-sensor water consumption ratio index stored in the data storage step, and the calculation result of the calculation step is An abnormality detection method for a water supply network characterized by diagnosing the occurrence of an abnormality when deviating from an abnormality determination value having periodicity.
An abnormality detection method for a water supply facility network according to claim 10,
In the abnormality diagnosis step,
In the data input step, operation data of the water supply network and map information system data of the water supply network are input, and the input operation data of the water supply network and map information system data of the water supply network are the abnormal A water supply facility network characterized in that when an abnormality of a device installed in a water distribution area including an occurrence position of an abnormality estimated in the diagnosis step is indicated, the diagnosis of the occurrence of the abnormality in the abnormality diagnosis step is corrected normally. Anomaly detection method.
An abnormality detection method for a water supply facility network according to claim 8,
In the abnormality diagnosis step,
When customer data of the water supply facility network and map information system data of the water supply facility network are input in the data input step, based on the input customer data of the water supply facility network and map information system data of the water supply facility network The sensor-to-sensor water consumption ratio index calculated from the pressure measurement value of the pressure measuring instrument belonging to the specific water distribution area is selected from the calculation results of the calculation step, and the selected inter-sensor water consumption ratio index is selected. Based on the above, an abnormality determination value for diagnosing a pressure measuring instrument belonging to the specific water distribution area is generated, and the presence or absence of abnormality in the specific water distribution area is diagnosed using the generated abnormality determination value. An abnormality detection method for the water supply network.