KR20210113708A - Leakage Detection Network Management System and Operation Method - Google Patents

Abstract

The present invention relates to a pipe network management system and an operating method in detecting a leakage, wherein a pipe network management server system according to one embodiment may comprise: a collection server that collects data measuring a measured constant flow rate flow for a certain time from an instrument installed in a block; an FEP server that controls to classify the collected data per instrument and record thereof in a database; a database server that identifies abnormal data from among the data recorded in the database, and corrects and manages the identified abnormal data; and a management server that determines a possibility of a leakage based on the relational data between a minimum flow rate periodically measured for a preset period from the corrected and managed data, and the relational data of average water pressures periodically measured for a preset period. Therefore, the present invention is capable of providing a technology in detecting and analyzing the leakage quickly and accurately.

Description

Leakage Detection Network Management System and Operation Method to detect leaks

The present invention relates to a pipe network management system and operation method for detecting a leak by determining a section where there is a possibility of a leak in a distributed water supply.

The tap water we use at home is supplied from a water source to each household or consumer through a water purification plant and a water reservoir. At this time, it is difficult to properly manage water quality or to maintain and manage the pipe network from the water purification plant to the customer through the tangled pipe network like a spider's web.

Accordingly, a project to block the waterworks network is being carried out recently to optimize the management of the waterworks network and to increase the flow rate. For reference, the flow rate is the percentage of tap water produced at a water purification plant that is collected as a fee income.

The water pipe blockization project, for example, divides the large blocks divided by the water supply system of the water purification plant into medium blocks with a size of 2000 to 5000 water faucets, and then divides each medium block into small blocks with a size of 500 to 1000 water faucets to create a water pipe network. It is composed of checkerboard-shaped large, medium, and small blocks, and it is possible to maintain and manage the pipe network more systematically and efficiently through real-time monitoring and analysis of the quantity, water quality, and water pressure of each block.

In particular, as the water supply pipe network is blocked and remotely maintained, it is economical in terms of cost as there is no need to deploy functional personnel on site. , the total flow rate, and the individual usage flow rate for each house can be accurately identified, making it possible to charge more fairly.

A general water pipe network management system consists of a monitoring system of measurement data (flow, water pressure, water quality) collected from the field and an analysis system that processes and analyzes the collected data. Currently, the water supply pipe network is being changed to a block-type pipe network system in order to introduce easy maintenance and effective analysis techniques from the existing dendrite simple pipe network.

This block-type pipe network structure is easy to manage appropriate flow rate, water pressure, and water quality, and it provides block-level oil/leakage analysis results, which is effective in diagnosing the effects of pipe network maintenance priorities and old pipe improvement work. The water supply network management system according to this block-type pipe network system is built by the system building process shown in FIG. 1, and by using the management system constructed in this way, it departs from the management of the existing monitoring level and stores the measurement data (or time series) in the DB. High operational effects were expected by storing and analyzing oil/leakage using block system-based flow/water pressure data.

Korean Patent Laid-Open Patent No. 10-2008-0005694 "Remote integrated leak monitoring system and method for water supply pipe network" Korean Patent Registration No. 10-0938496 "Remote control monitoring system for water supply pipelines"

An object of the present invention is to provide a technology for quickly and accurately detecting and analyzing running water and leaks by managing a pipe network that supplies water to each block.

An object of the present invention is to increase the reliability of the flow rate measurement in order to utilize the flow rate of the constant for various analysis for a certain period of time.

Pipe network management server system according to an embodiment is a collection server that collects data measuring the flow of water measured for a certain period of time from a meter installed in a block, FEP for controlling to classify the collected data for each instrument and record it in a database A server, a database server that identifies abnormal data among data recorded in the database, and corrects and manages the identified abnormal data, and the relationship data between the minimum flow rates periodically measured for a predetermined period from the corrected and managed data, It may include a management server for determining the possibility of leakage based on the relationship data of the average water pressures periodically measured for a preset period.

The management server according to an embodiment calculates relationship data between the minimum flow rates periodically measured for a preset period, and calculates the difference between the minimum flow rate calculated at time N and the minimum flow rate calculated at time N-1 in the relationship In the case of a pattern in which data is calculated and the calculated relationship data only increases in time series during the predetermined period, it may be determined that there is a possibility of leakage.

The management server according to an embodiment calculates relationship data between the minimum flow rates periodically measured for a preset period, and calculates the minimum flow rate calculated at N times from the minimum flow rates calculated at N-1 times within the preset period. In the case of a pattern in which the relation data is calculated by calculating all the increase/decrease values up to the flow rate, and the result of accumulating all the calculated relation data is a positive number, it may be determined that there is a possibility of leakage.

The management server according to an embodiment calculates relational data between average water pressures periodically measured for a preset period, and an average water pressure calculated at time N-1 and an average calculated at time N within the preset period In the case of a pattern in which the difference values of water pressure are calculated as the relation data and the result of accumulating all the calculated relation data is a negative number, it may be determined that there is a possibility of leakage.

The FEP server according to an embodiment determines and identifies that missing data has occurred when the measured time and minute data and the field data are different from each other, and replaces the identified missing data with preset data to supplement the identified missing data can be controlled to record.

In the FEP server according to an embodiment, the missing data includes a time value, instantaneous data, and integrated data, and the time value inputs a time value at a time point at which the missing occurs, and the instantaneous data and the integrated data can be entered as a null value.

The database server according to an embodiment may identify abnormal data by searching for data supplemented with the missing data, and distinguish and record the identified abnormal data.

The database server according to an embodiment determines whether the missing data is abnormal data by dividing the data supplemented by the missing data into instantaneous data or integrated data divided by minutes, and identifies and records abnormal data according to the determination result. can

The database server according to an embodiment may determine the data as abnormal when the size of the instantaneous data is 0 or greater than or equal to a maximum value.

The database server according to an embodiment may determine the data as abnormal when the size of the integrated data is 10 times or more or 0.1 times or less compared to the previous integration data that entered the normal value.

The database server according to an embodiment may correct the identified abnormal data by reflecting a weight on information of another day measured at the same time.

The method of operating a pipe network management system according to an embodiment includes collecting data measuring the flow rate of a constant measured for a predetermined time from a measuring instrument installed in a block, and controlling the collected data to be classified for each instrument and recorded in a database. Step, identifying abnormal data among the data recorded in the database, correcting and managing the identified abnormal data, and relationship data between the minimum flow rates periodically measured for a predetermined period from the corrected and managed data; The method may include determining the possibility of leakage based on relationship data of average water pressures periodically measured for a set period.

The determining of the possibility of leakage according to an embodiment comprises calculating relationship data between the minimum flow rates periodically measured for a preset period of time, between the minimum flow rate calculated at time N and the minimum flow rate calculated at time N-1. Calculate the difference in first relational data, calculate all the increase/decrease values from the minimum flow rate calculated at time N-1 to the minimum flow rate calculated at time N within the preset period to calculate second relation data, and The difference values between the average water pressure calculated at time N-1 and the average water pressure calculated at time N within a preset period are calculated as third relation data, and the calculated first relation data is time-series for the preset period. In the case of a first pattern that only increases, in the case of a second pattern in which the result of accumulating all the calculated second relational data is positive, and in the case of a third pattern in which the result of accumulating all of the calculated third relational data is negative When all are satisfied, it may include a step of determining that there is a possibility of leakage.

According to an embodiment, it is possible to provide a technology for quickly and accurately detecting and analyzing runoff and leaks by managing a pipe network that supplies water to each block.

According to an embodiment, the reliability of the flow rate measurement may be increased in order to utilize the flow rate of the constant for various analyses for a certain period of time.

1 is a diagram for explaining the distribution of water supply to the block-by-block consumers.
2 is a view for explaining a pipe network management system for managing the distributed water supply.
3 is a diagram for explaining the processing flow of data.
4 is a view for explaining an operation method of a pipe network management system for managing the distributed water supply.
5A and 5B are diagrams for explaining an embodiment of determining the possibility of leakage with relational data calculated based on comparison with the previous minimum flow rate.
6A and 6B are diagrams for explaining an embodiment of determining the possibility of leakage with relational data calculated based on the difference in the minimum flow rate for each day.
7A and 7B are diagrams for explaining an embodiment of determining the possibility of water leakage using relational data calculated based on the difference in average water pressure for each day.

Specific structural or functional descriptions of the embodiments according to the concept of the present invention disclosed herein are only exemplified for the purpose of explaining the embodiments according to the concept of the present invention, and the embodiment according to the concept of the present invention These may be embodied in various forms and are not limited to the embodiments described herein.

Since the embodiments according to the concept of the present invention may have various changes and may have various forms, the embodiments will be illustrated in the drawings and described in detail herein. However, this is not intended to limit the embodiments according to the concept of the present invention to specific disclosed forms, and includes changes, equivalents, or substitutes included in the spirit and scope of the present invention.

Terms such as first or second may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one element from another element, for example, without departing from the scope of rights according to the concept of the present invention, a first element may be named as a second element, Similarly, the second component may also be referred to as the first component.

When a component is referred to as being “connected” or “connected” to another component, it is understood that the other component may be directly connected or connected to the other component, but other components may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that no other element is present in the middle. Expressions describing the relationship between elements, for example, “between” and “between” or “directly adjacent to”, etc. should be interpreted similarly.

The terminology used herein is used only to describe specific embodiments, and is not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In this specification, terms such as "comprise" or "have" are intended to designate that the described feature, number, step, operation, component, part, or combination thereof exists, and includes one or more other features or numbers, It should be understood that the possibility of the presence or addition of steps, operations, components, parts or combinations thereof is not precluded in advance.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present specification. does not

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, the scope of the patent application is not limited or limited by these examples. Like reference numerals in each figure indicate like elements.

1 is a diagram for explaining the distribution of water supply to the block-by-block consumers.

1 is a block diagram illustrating a block diagram of a water supply network block system in a pipe network structure in the form of a block 140 .

In the water purification plant 120, a pipe network is connected to the drainage basin 130 directed to each grouped small block.

In addition, in the reservoir 130, a pipe network toward the house is connected through each small block. In the house divided into small blocks, water can be supplied and used from the pipe network connected from the water purification plant 120 .

For example, the reservoir 130 may include a meter such as a drain valve or a flow meter to monitor a pipe network directed to each small block.

The pipe network management system 110 may prevent water leakage while monitoring the flow rate of the pipe network delivered from the water purification plant to the house.

For example, the pipe network management system 110 may inquire a flow water pressure inquiry for pipe network operation, and inquire about a flow pressure and a constant pattern trend for each period of the block.

In addition, the pipe network management system 110 may inquire the minimum flow rate at night and the change trend of the minimum flow rate during the night through the minimum flow rate inquiry at night.

The pipe network management system 110 can inquire the usage status by block to inquire the change trend of monthly usage (rate and provided data) for each block, and it is possible to calculate the amount of water leakage through the nighttime minimum flow analysis and the overall balance analysis method by calculating the amount of leakage do. In addition, the pipe network management system 110 can inquire the effective quantity (rate quantity, fraction quantity) and invalid quantity (water project quantity, public quantity, etc.) by inquiring the total quantity balance, and long-term / block by block through demand prediction Short-term supply can be predicted.

The pipe network management system 110 may generate a pattern or analyze the pattern through pattern management. Through this, it is possible to analyze and store patterns by month, day, industry, and climate (temperature), or analyze patterns created by blocks.

The pipe network management system 110 may inquire the current status of customers for each block by analyzing the status of customers for the status of flow rate. In addition, by examining the flow rate status, the flow rate status for each period of the block can be inquired, and the flow rate status for each block can be compared to compare the flow rate status for all blocks. Also, it is possible to manage a block with a low flow rate by using the comparison result.

In addition, the pipe network management system 110 may inquire the supply amount, usage, flow rate, and leakage amount of the year through the flow rate analysis. In particular, the pipe network management system 110 according to an embodiment may discover missing data and abnormal data and correct them.

On the other hand, the pipe network management system 110 can manage information registration and change information for blocks through block management, and through reference value management, it is possible to register and manage the reference value and the total amount balance reference value when calculating the minimum flow rate at night. In addition, through flow water pressure data correction, data correction can be processed when abnormal data is generated due to a communication error, and data conversion of charges and usage is possible. In addition, the pipe network management system 110 may provide a function of loading the usage data for each customer provided by the fee department into the DB, and may perform alarm reference value management, and may generate alarm alarm conditions and exceptions in real-time monitoring.

As an example, the basic data database of the pipe network management system 110 may time-series data on the water supply pipe network measured by the already built basic infrastructure and the basic block in which actual data is collected.

'Basic infrastructure' can be interpreted as TM facilities such as on-site measurement and control facilities, communication facilities and networks installed in drainage basins or water purification plants to manage the flow of water. Accordingly, data continuously measured by the basic infrastructure may be stored in the basic data database in time series.

The pipe network management system 110 is installed in connection with the basic data database, and according to the block system shown in the block diagram shown by the operator interface unit, the data of the basic data database can be reconstructed and stored for each block information and block code. have.

The pipe network management system 110 may be provided with a history management function of assigning a tree diagram code to each block diagram displayed on the operator interface and individually storing data on the block diagram.

The pipe network management system 110 may assign a unique tree tree code to each block tree diagram for a block tree diagram whose consistency is recognized, and may individually store data on the block tree tree in the block database. Therefore, it is possible to immediately search and utilize the data for each block diagram by using the diagram code for a specific block diagram.

When a block is changed or a new block is generated, the pipe network management system 110 may generate new block information and a block code, and may generate and store data about the block in a block database.

The pipe network management system 110 is a component that extracts block attribute information from the basic data database when a block is changed or a new block is created on the operator interface unit. Here, the 'block attribute information' refers to the area within the block boundary, the number of customers, the pipeline, and the altitude information.

When a block is changed or a new block is created on the operator interface unit, the pipe network management system 110 generates a block code for the block, assigns the block code to the extracted block attribute information, and stores it in the block database for each block code. can

2 is a view for explaining the pipe network management system 200 for managing the distributed water supply.

The pipe network management system 200 may analyze the flow rate of the constant recorded for a certain period of time, for example, for one day to find an error in the collected data and correct it.

To this end, the pipe network management system 200 according to an embodiment may include a collection server 240 , an FEP server 250 , and a database server 260 .

Field device 210, wired/wireless communication network 220, security network 230, collection server 240, FEP server 250, DB server 260 installed around the pipe of each water supply to collect data measured in the field. ), a management server 270 , and a monitoring server 280 may be included.

More specifically, the field device 210 may measure the flow rate, water pressure, and water quality of the water in minutes. Specifically, the field device 210 is installed in each block constituting the pipe network and may include a pressure meter for measuring the water pressure of a constant for each block, a flow meter for measuring the flow rate, and a water quality meter for measuring water quality.

Measurement data on the water pressure, flow rate, and water quality of the water measured by the field device 210 may be transmitted to the collection server 240 through the security network 230 through the wired/wireless communication network 220 .

The security network 230 may improve security by providing functions such as IPS, firewall, VPN, and a network data transmission device in data movement.

The collection server 240 may serve as a communication gateway. For example, data from field devices of each block may be collected. In particular, the collection server 240 is a hardware collection server, a TM master, and equipment that collects several devices or data, and can be interpreted as a device that centrally processes so that devices in each region can communicate with each other.

The water pressure, flow rate, and water quality data for each block in the water supply pipe network measured by the field device 210 may be transmitted periodically or to the collection server 240 at a preset time. In this case, the wired/wireless communication network 220 may be a mobile communication network including a WCDMA network and a KT dedicated line, but is not limited thereto.

The FEP server 250 may control the database server 260 to match and store various measurement data obtained from the field device 210 for each block in a database.

In particular, the FEP server 250 may control the collected data to be recorded separately for each instrument. In this process, the FEP server 250 may identify missing data from the measured data, replace the identified missing data with preset data, and control the recording to supplement the missing data.

Missing data refers to omissions occurring in data at a specific hour and minute among hour and minute data measured in minutes and recorded, and the measured value may be recorded as blank.

Accordingly, the FEP server 250 may compensate for the missing part and transmit it to the database server 260 . In addition, the database server 260 may record missing data supplemented data in the database.

In order for the FEP server 250 to determine missing data, a reference may be maintained in the form of a template table measured for a predetermined time in units of one minute. These references can be recorded in Oracle DB, and can be used to identify missing data against actual collected measurement data.

If, among the hour and minute data measured at 1-minute intervals for 24 hours, a case in which a missing occurs in the 1200th data may be considered. In this case, the 1200th data of the measurement data is missing, while the 1200th data is recorded in the template table. The FEP server 250 compares these two pieces of information and confirms that the 1200th data is missing.

As an example, the missing data includes a time value, instantaneous data, and integrated data, and the FEP server 250 inputs a time value at a time point at which the missing occurs in the time value field, and instantaneous data and integrated data fields can be entered as a null value.

The management server 270 may provide various services to the user terminal by processing the measurement data recorded in the database.

In this case, the user terminal may access the management server 270 through the Internet network and use various services provided by the management server 270 . Here, the user terminal may be a desktop PC, a notebook computer, a workstation, etc., but is not limited thereto, and may be various mobile devices including a smart phone.

For example, the management server 270 may provide a pattern management service for patterning and managing flow data stored for each block. Here, in the pattern management service, the user registers the flow pattern for a specific block as a user-defined pattern, monitors the flow rate of the block based on the registered user-defined pattern, and determines whether the block is leaking in real time and leaks. A service that can provide an alert.

In order to provide the pattern management service, the management server 270 may acquire and store flow data obtained by measuring the flow rate of the constant from the field device 210 . Specifically, the management server 270 may match the flow data of each block in the water supply pipe network obtained from the field device 210 to the measured time and store it for each block.

In addition, when a user-defined pattern registration for a specific block is requested from the user terminal, the management server 270 generates a flow rate pattern according to time of the specific block using the stored flow data corresponding to the specified period included in the request, The created flow pattern can be registered as a user-defined pattern.

Meanwhile, the management server 270 may provide various information inquiry services for real-time monitoring of a pipe network or operation of a pipe network in addition to the above-described pattern management service. For example, the management server 270 provides a real-time monitoring service for each block of flow/water pressure, a flow/water pressure inquiry service for each period, a night minimum flow rate inquiry service, a usage status inquiry service for each block, a night minimum flow rate analysis method or a total quantity balance analysis method. It is possible to provide a water leakage calculation service through the

In addition, the management server 270 may provide the above-described various services together with various geographic information provided by the GIS server in conjunction with a Geographic Information System (GIS) server.

For the specific method of processing the measurement data obtained from the field device 210 and the geographic information obtained from the GIS server by the management server 270 to provide the above service, known techniques may be used, and the present invention Since it is irrelevant to the gist, a detailed description will be omitted below.

Some of the functions of the management server 270 described above may be implemented through the monitoring server 280 . In addition, the monitoring server 280 may perform flow rate and water pressure monitoring of the pipe network (block), or may perform trend monitoring for each block flow rate and water pressure.

As an example, a case in which the FEP server 250 supplements and records missing data may be considered.

In this case, the database server 260 may search the data for which the missing data is supplemented to identify the abnormal data, classify the identified abnormal data, and record it in the database.

The database server 260 may determine whether the missing data is abnormal data by dividing the supplemented data into instantaneous data or integrated data divided by minutes, and may identify and record abnormal data according to the determination result.

Whether missing data or abnormal data can be recorded in a pre-designated area in the data field.

The database server 260 may determine the data as abnormal when the size of the instantaneous data is 0 or greater than or equal to the maximum value.

In addition, the database server 260 may determine the data as abnormal when the size of the integrated data is 10 times or more or 0.1 times or less compared to the previous integration data that entered the normal value.

The numerical value of the integrated data in contrast to the normal value may be appropriately adjusted by the administrator.

The database server 260 may correct the identified abnormal data by reflecting a weight on information of other days measured at the same time.

For example, among 1440 hour and minute data measured in units of 1 minute for 24 hours, when the 1110th data is identified as abnormal data, the 1110th hour and minute data may be corrected by reflecting a weight to information on other days.

Specifically, the 1110th hour and minute data among the measurement data from 1 day ago, the average of the 1110th hour and minute data among the measurement data for the past 3 days, the average of the 1110th hour and minute data among the measurement data for the past 7 days, and the last month The missing 1110th hour and minute data may be corrected by using the average of the 1110th hour and minute data among the measurement data.

In this case, different weights may be reflected in the average of each hour and minute data.

The management server 270 according to an embodiment, after correction, is recorded in the database and managed data, the relationship between the relationship data between the minimum flow rates periodically measured for a preset period and the average water pressure periodically measured for the preset period. Based on the data, it is possible to determine the possibility of a leak.

For example, the management server 270 may determine the possibility of leakage by calculating relationship data between the minimum flow rates periodically measured for a preset period.

In particular, the difference between the minimum flow rate calculated at time N and the minimum flow rate calculated at time N-1 is calculated as relational data. can judge

In addition, the management server 270 calculates all the increase/decrease values from the minimum flow rate calculated at time N-1 to the minimum flow rate calculated at time N within a preset period to calculate relational data, In the case of a pattern in which all accumulated results are positive, it can be determined that there is a possibility of leakage.

Meanwhile, the management server 270 may determine the possibility of water leakage by calculating relationship data between average water pressures periodically measured for a preset period.

For example, the management server 270 calculates the difference values between the average water pressure calculated at time N-1 and the average water pressure calculated at time N within a preset period as relationship data, and accumulates all the calculated relationship data. In the case of a pattern with a negative result, it can be determined that there is a possibility of leakage.

As an example, the management server 270 may generate an alarm to the manager when it is determined from the relationship data that there is a possibility of leakage for the above three patterns.

3 is a diagram for explaining the processing flow of data.

The measurement data 320 measured by the measuring instrument 310 may be interpreted as raw data. Thereafter, the measurement data may be secondary processed into the calibration data 330 through the correction of the missing data or the correction of the abnormal data.

4 is a view for explaining an operation method of a pipe network management system for managing the distributed water supply.

The operation method of the pipe network management system for managing the distributed water supply may measure the hour and minute data in minutes for a predetermined time, for example, 24 hours, using a meter installed in the block (step 401). In addition, the operating method of the pipe network management system may calculate instantaneous data obtained by dividing the time and minute data into minutes, and integrated data accumulated from the start time to the calculation time of the hour and minute data (step 402).

Separately from the hour and minute data, the measured hour and minute data is accumulated with the previously measured hour and minute data and recorded as integrated data. The hour and minute data and the integration data recorded in this way can be recorded as measurement data, usually using 24 hours as one cycle.

The recorded measurement data may be supplemented or corrected for the missing part and the abnormal part.

To this end, in step 403, the operation method of the pipe network management system may identify missing data at a specific time point as a discrepancy between time and minute data and field data at a specific time point.

Field data can be interpreted as a reference template as previous data recorded at the same site without missing parts.

Compensation can be processed for missing parts during preparation for each hour and minute. For example, in the operating method of the pipe network management system, a time value at a time point at which a missing occurs with respect to a time value among missing data may be input, and instantaneous data and integrated data among missing data may be input as null values.

In addition, the operation method of the pipe network management system may identify abnormal data by searching for measurement data for which missing is compensated (step 405 ).

In this case, the operation method of the pipe network management system may determine whether the missing data is abnormal data by dividing the supplemented data into instantaneous data or integrated data divided by minutes.

As an example, the operating method of the pipe network management system may determine whether the instantaneous data is abnormal data when the size of the instantaneous data is 0 or greater than or equal to the maximum value in order to determine whether the data is abnormal.

In addition, the operation method of the pipe network management system, in order to determine whether the data is abnormal, when the size of the integrated data is 10 times or more or 0.1 times or less compared to the previous integration data that entered the normal value, it may be determined as abnormal data.

In addition, when it is identified as abnormal data according to the determination result, the operation method of the pipe network management system may correct and record the missing data by replacing the identified missing data with preset data (step 406).

It is possible to correct the identified abnormal data by reflecting the weight on information of other days measured at the same time.

Next, the operating method of the pipe network management system may calculate relational data periodically measured for a preset period (step 407).

In addition, the operating method of the pipe network management system may determine the possibility of leakage based on the calculated relationship data and generate a notification (step 408).

Hereinafter, an example of calculating relational data and a situation of determining the possibility of leakage will be described in more detail with reference to FIGS. 5A to 7B .

5A and 5B are diagrams for explaining an embodiment of determining the possibility of leakage with relational data calculated based on a comparison with the previous minimum flow rate.

The management server may calculate the difference between the minimum flow rate calculated at time N and the minimum flow rate calculated at time N-1 as the relation data 510 .

More specifically, the management server may calculate the relationship data using the minimum flow rates measured at the same time every day for a preset period, for example, 4 days.

In addition, through the process of comparing using the calculated relationship data as in step 520, it is possible to determine whether it is a deep water leak area.

In particular, the minimum flow rate 4 days ago, the minimum flow rate 3 days ago, the minimum flow rate 2 days ago, and the minimum flow rate 1 day ago are calculated. Whether the minimum flow rate 4 days ago is larger than the minimum flow rate 3 days ago, the minimum flow rate 3 days ago is It is possible to determine the possibility of leakage by judging whether it is large compared to the minimum flow rate 2 days ago and whether the minimum flow rate 2 days ago is larger than the minimum flow rate 1 day ago.

If the minimum flow measured on the previous day in all sections is small on the next day, it can be judged that the possibility of leakage is low.

In other words, in the case of a pattern in which the calculated relationship data only increases in time series during a preset period, it may be determined that there is a possibility of leakage.

5B is a graph showing the minimum flow rate 4 days ago, the minimum flow rate 3 days ago, the minimum flow rate 2 days ago, and the minimum flow rate 1 day ago, and it can be seen that the pattern increases only in the entire section.

In this way, it can be determined that there is a possibility of leakage when the minimum flow only increases in the entire measurement section.

6A and 6B are diagrams for explaining an embodiment of determining the possibility of leakage with relational data calculated based on the difference in the minimum flow rate for each day.

The management server may calculate a difference between the minimum flow rate calculated at time N and the minimum flow rate calculated at time N-1 as the relation data 610 .

More specifically, the management server may calculate the relationship data using the minimum flow rates measured at the same time every day for a preset period, for example, 4 days.

In addition, through the process of comparing using the calculated relationship data as in step 620, it is possible to determine whether it is a deep water leak area.

In particular, in step 610, the minimum flow rate 4 days ago, the minimum flow rate 3 days ago, the minimum flow rate 2 days ago, and the minimum flow rate 1 day ago are calculated, and in step 620, the difference between the minimum flow rate 4 days ago and the minimum flow rate 3 days ago, the minimum flow rate 3 days ago and 2 The difference between the minimum flow rate the day before, the difference between the minimum flow rate 2 days ago and the minimum flow rate 1 day ago is calculated, and based on this, the possibility of leakage can be determined.

The management server may determine whether the result 630 of summing all the differences between the minimum flow rates calculated in all sections is a positive number ( 640 ).

In addition, if the determination result is positive, it can be determined that the corresponding area is a deep water leak area, and there is a possibility of water leakage.

6b is a graph showing the minimum flow rate 4 days ago, the minimum flow rate 3 days ago, the minimum flow rate 2 days ago, and the minimum flow rate 1 day ago.

If the minimum flow rate is increased as a result, it can be judged that there is a possibility of leakage.

7A and 7B are diagrams for explaining an embodiment of determining the possibility of water leakage using relational data calculated based on the difference in average water pressure for each day.

The management server may calculate the difference between the minimum flow rate calculated at time N and the minimum flow rate calculated at time N-1 as the relation data 710 .

More specifically, the management server may calculate the relationship data using average water pressures measured at the same time point every day for a preset period, for example, 4 days.

In addition, through the process of comparing using the calculated relationship data as in step 720, it is possible to determine whether it is a deep water leak area.

In particular, in step 710, average water pressure 4 days ago, average water pressure 3 days ago, average water pressure 2 days ago, and average water pressure 1 day ago are calculated, and in step 720, the difference between the average water pressure 4 days ago and the average water pressure 3 days ago, the average water pressure 3 days ago and 2 The difference in the average water pressure the day before, the difference between the average water pressure 2 days ago and the average water pressure 1 day ago, can be calculated, and the possibility of water leakage can be determined based on this.

The management server may determine whether a result 730 of summing all the differences in average water pressure calculated in all sections is a positive number ( 740 ).

In addition, if the determination result is a negative number, it may be determined that the corresponding area is a deep water leak area, and if the determination result is a positive number, it may be determined that the water leakage possibility is low and is operating normally.

7b is a graph showing the average water pressure 4 days ago, the average water pressure 3 days ago, the average water pressure 2 days ago, and the average water pressure 1 day ago.

In this case, when the average water pressure is consequently decreased, it can be determined that there is a possibility of leakage.

After all, by using the present invention, it is possible to compensate for the missing or abnormal part by managing the accumulated measurement data in the water supply by day. In addition, it is possible to provide a technology to detect and analyze runoff and leaks quickly and accurately by managing the pipe network that supplies water to each block.

In addition, by using the present invention, it is possible to increase the reliability of the flow rate measurement in order to utilize the flow rate of the constant for various analyzes for a certain period of time.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (13)

In the pipe network management server system installed in each block of the water supply pipe network to measure and manage the flow of water for each block,
a collection server for collecting data measuring the flow of constant water measured for a certain period of time from the instrument installed in the block;
FEP server for controlling to classify the collected data for each instrument and record it in a database;
A database server that identifies abnormal data among data recorded in the database and corrects and manages the identified abnormal data
A management server that determines the possibility of water leakage based on the relationship data between the minimum flow rates periodically measured for a preset period from the corrected and managed data, and the relationship data of the average water pressures periodically measured for a preset period
A pipe network management server system comprising a. According to claim 1,
The management server,
Calculating the relationship data between the minimum flow rates periodically measured for a preset period,
The difference between the minimum flow rate calculated at time N and the minimum flow rate calculated at time N-1 is calculated as the relation data, and in the case of a pattern in which the calculated relation data only increases in time series during the predetermined period, the possibility of leakage is increased. A pipe network management server system that determines that there is. According to claim 1,
The management server,
Calculating the relationship data between the minimum flow rates periodically measured for a preset period,
Calculate the relation data by calculating all of the increase/decrease values from the minimum flow rate calculated at time N-1 to the minimum flow rate calculated at time N within the preset period,
A pipe network management server system for determining that there is a possibility of leakage in the case of a pattern in which the result of accumulating all of the calculated relational data is positive. According to claim 1,
The management server,
Calculating the relationship data between the average water pressures periodically measured for a preset period,
Calculate the difference values between the average water pressure calculated at time N-1 and the average water pressure calculated at time N within the preset period as the relation data,
A pipe network management server system for determining that there is a possibility of leakage in the case of a pattern in which the result of accumulating all of the calculated relational data is negative. According to claim 1,
The FEP server,
When the measured time-minute data and the field data are different, it is determined and identified that missing data has occurred, and the identified missing data is replaced with preset data to supplement and record the identified missing data. 6. The method of claim 5,
The FEP server,
The missing data includes a time value, instantaneous data, and integrated data, the time value inputs a time value at a time point when the missing data occurs, and inputs the instantaneous data and the integrated data as a null value. management server system. According to claim 1,
The database server is
A pipe network management server system for identifying abnormal data by searching for data supplemented with the missing data, and distinguishing and recording the identified abnormal data. 8. The method of claim 7,
The database server is
A pipe network management server system for determining whether the missing data is abnormal data by dividing the data supplemented by the missing data into instantaneous data or integrated data divided by minutes, and identifying and recording abnormal data according to the determination result. 9. The method of claim 8,
The database server is
Pipe network management server system, characterized in that when the size of the instantaneous data is 0 or more than the maximum value, it is determined as abnormal data. 9. The method of claim 8,
The database server is
The pipe network management server system, characterized in that it is determined as abnormal data when the size of the integration data is 10 times or more or 0.1 times or less compared to the previous integration data that entered the normal value. 8. The method of claim 7,
The database server is
A pipe network management server system for correcting the identified abnormal data by reflecting weights on information of other days measured at the same time. In the operating method of a pipe network management system installed in each block of a water supply pipe network to measure and manage the flow of water for each block,
Collecting data measuring the flow rate of the constant measured for a certain period of time from the instrument installed in the block;
controlling the collected data to be recorded in a database by classifying the collected data for each instrument;
identifying abnormal data from among the data recorded in the database, and correcting and managing the identified abnormal data; and
Determining the possibility of leakage based on the relationship data between the minimum flow rates periodically measured for a preset period from the corrected and managed data and the relationship data of the average water pressures periodically measured for a preset period
A method of operating a pipe network management system comprising a. 13. The method of claim 12,
The step of determining the possibility of leakage is,
Calculating the relationship data between the minimum flow rates periodically measured for a preset period,
The difference between the minimum flow rate calculated at time N and the minimum flow rate calculated at time N-1 is calculated as a first relational data,
Calculate all the increase/decrease values from the minimum flow rate calculated at time N-1 to the minimum flow rate calculated at time N within the preset period to calculate second relational data,
Calculate the difference values between the average water pressure calculated at time N-1 and the average water pressure calculated at time N within the preset period as third relation data,
In the case of a first pattern in which the calculated first relational data only increases in time series during the preset period, in the case of a second pattern in which a result of accumulating all of the calculated second relational data is positive, the calculated third Step of determining that there is a possibility of leakage when all the cases of the third pattern in which the result of accumulating all relational data are negative
A method of operating a pipe network management system comprising a.

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