KR20140143647A

KR20140143647A - Analysia system of estimation leakage in water based on flow history data revision and method thereof

Info

Publication number: KR20140143647A
Application number: KR1020130065495A
Authority: KR
Inventors: 최석준; 강석락; 심병섭
Original assignee: 주식회사 레오테크; 재단법인 국제도시물정보과학연구원
Priority date: 2013-06-07
Filing date: 2013-06-07
Publication date: 2014-12-17

Abstract

The present invention relates to an estimated leakage amount analysis system based on flux record data correction, which performs correction for outliers (data dapping) and missing values (data missing) occurred by fault of communication and an apparatus during data collection in a remote water mains flowmeter by analyzing flow record data (data measured in a flowmeter installed in a water supply system) in recent years, and estimates the amount of leakage by using a measured value at the time when instantaneous flux (instant flux supply amount) during midnight, when the amount of actual usage of each consumer (house) becomes a minimum, as the ″minimum night instantaneous″. The system of the present invention comprises: a remote device (100) for receiving data from a remote meter installed in the flowmeter of the house; a data server (200) which is wirelessly connected to the remote device (100), and collects, corrects and stores the data received in the remote device (100); and a client (300) wirelessly connected to the data server (200).

Description

TECHNICAL FIELD [0001] The present invention relates to a system and method for analyzing an estimated leak amount based on a flow history data correction,

More particularly, the present invention relates to a system and a method for estimating leakage amount, and more particularly, to a system and method for estimating a leakage amount of a communication apparatus and a device in a remote water supply flow meter by analyzing flow history data (data measured by a flow meter installed in a water supply pipe) The present invention relates to a system and a method for estimating an amount of leaked water based on correction of flow history data that corrects an abnormal value (data value) and a missing value (missing data)

Generally, the water system produces the water at the water purification plant and supplies it to the customer through the water supply channel. The water supply channel is divided into large blocks, medium blocks and small blocks. On the other hand, between the block and the block, there is usually a wastewater, and a pressure gauge and a flow meter are installed. The purpose of installing the wastewater is to separate the leakage compartment when the block needs to be constructed or leakage occurs, The pressure gauge is for determining whether the pressure of the block is proper and the flow meter is for grasping the total supply amount and the like in the block. Generally, in the above-mentioned water supply block, there is a difference from the flow rate of the water to be collected in the supply amount and the price of the block. The difference is caused by various causes. The main factors are leakage due to pipe rupture and leakage due to pipe joints. It is defined as the amount of leakage, and the amount of water in the pipeline, the number of waterworks used in water purification plants and waterworks, Quantity is called anhydrous quantity. Therefore, it is important not only to calculate the amount of water flow accurately but also to grasp the leak amount and to identify the leak point. Conventionally, there is an integrated flow approach and a minimum flow approach. In the integrated flow approach, the difference between the supply amount and the effective water amount is calculated as the leakage amount, considering the constant water supply amount and the meter reading amount as the effective water amount for a certain period. In addition, the minimum night flow measurement method is a method of estimating the measurement value of each block at the late night by using the leakage assuming that the constant is not used at the night time. However, in the above method, it is difficult to accurately calculate the amount of actual leaks, and there are a lot of parts in which the estimation method itself is inferred and it is performed by hand, so there is a limit to practical use.

To solve these problems, Korean Patent No. 10-0871725 has been proposed. The foregoing prior art patent discloses a method of measuring the flow rate of a flow meter in a block collected from a charge management system, a water supply meter, a meter meter reading amount, a water pressure meter, a meter meter dead rate, A memory unit for storing data such as a loss amount coefficient, an indoor water pipe loss coefficient, an incoming water pipe loss coefficient, and a pipe network state factor; The data stored in the memory unit is received, and the amount of dead-time according to the flowmeter metering amount and the flowmeter dead-rate in the block is calculated for each predetermined time period. The remaining water amount is calculated according to the usage amount, The total amount of water loss in the above flow meter is calculated in the waterless water quantity, the hydraulic pressure correction factor is calculated by the formula of hydraulic pressure correction factor, and the water loss correction factor and the water leakage amount are calculated by the above formula, A processing unit; According to the PLA (Experimental System Based on Pressure - Leakage Analysis) method, the flow rate per block is calculated by a block - by - block method, / In order to accurately calculate the leakage rate, it is possible to calculate the usage pattern and the leakage pattern for each month / day / hour by applying the meter reading amount and setting the leaking estimation engine by the user.

However, the prior art has a problem in that there is a problem in the validity of the data due to the occurrence of an abnormal value (data loss) and a missing value (data loss) due to abnormality of the communication and the apparatus when collecting data in the remote supply water supply flow meter.

1. Korean Patent No. 10-0871725 entitled " PAL-Based Block Leakage Expert System and Leakage Calculation Method "(Registered on Nov. 26, 2008

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a system and method for analyzing estimated leakage based on flow history data correction that increases the reliability of analysis results by performing correction on flow history data, And the like.

A system for analyzing an estimated leak volume based on a flow history data correction according to the present invention comprises: a remote device for receiving data from a remote meter installed in a meter of a customer; A data server connected wirelessly with the remote device to collect, correct and store data received at the remote device; And a client wirelessly connected to the data server.

In addition, the method of analyzing the estimated leak amount based on the flow history data correction according to the present invention includes collecting data through a remote device; Measuring flow data; Analyzing the standard deviation of the measured flow rate data; Calculating an upper limit value / a lower limit value of the standard deviation; Determining whether the flow rate data is out of the upper limit value or the lower limit value by checking the flow rate data; And when the flow rate data is out of the range of the upper limit value and the lower limit value, the measured value and the correction value are registered, and the measured value and the correction value are inputted to the database. Determining whether a duration that is continuously out of the range of the upper limit value / lower limit value is within 5 minutes or 5 minutes or longer; If the duration is 5 minutes or longer, the measured value and the corrected value are registered and input to the database, and if the duration is less than 5 minutes, determining the upper limit / lower limit of the flow data; The lower limit value is applied and the measured value and the correction value are registered and input to the database, and when the upper limit of the flow data is not less than the upper limit value, the lower limit value is applied, Is input to the control unit.

As described above, the estimated leakage analysis system 1 and the method based on the flow history data correction according to the present invention are advantageous in that convenience and consistency can be provided by normalizing the index for analyzing the leakage amount.

In addition, since the flow history data of the recent years are pre-analyzed and corrected, and the index is applied according to the characteristics of each block by calculating the stock based on the corrected flow history data, the advantage of the reliability of the analysis result can be increased .

In addition, it has an advantage in that it can not only judge the occurrence of leaks but also can improve the efficiency of work because it is possible to select a priority plan for establishing a base plan and exploration for exploration of leaks in an area having a higher leakage amount.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic block diagram showing the configuration of an estimated leak amount analysis system based on a flow history data correction according to the present invention; FIG.
FIG. 2 is a schematic block diagram showing the configuration of the data server of FIG. 1; FIG.
FIG. 3 is a schematic block diagram showing the configuration of the client of FIG. 1; FIG.
4 is a schematic diagram of an outlier correction algorithm according to the present invention.
Fig. 5 is a graph pattern diagram showing before and after correction of an outlier; Fig.
6 is a schematic diagram of a missing value correction algorithm according to the present invention.
Fig. 7 is a graph pattern diagram showing before and after compensation value compensation; Fig.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a system for analyzing an estimated leak amount based on a flow history data correction according to the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. The following terms are defined in consideration of the functions of the present invention, and they may vary depending on the intentions or customs of the client, the operator, the user, and the like. Therefore, the definition should be based on the contents throughout this specification.

Like numbers refer to like elements throughout the drawings.

FIG. 1 is a schematic block diagram showing a configuration of an estimated leak amount analysis system based on the flow history data correction according to the present invention, FIG. 2 is a schematic block diagram showing the configuration of the data server of FIG. 1, FIG. 5 is a graph chart showing the state before and after the correction of an outlier, and FIG. 6 is a schematic diagram showing an example of a solution of the missing value correction according to the present invention. FIG. 7 is a graph pattern diagram showing before and after the compensation value correction. FIG.

1 to 3, the estimated leakage analysis system based on the flow history data correction according to the present invention includes a remote device 100 for receiving data from a remote meter (not shown) provided in a meter of a customer, A data server 200 wirelessly connected to the remote device 100 for collecting, correcting and storing data received by the remote device 100 and a client 200 wirelessly connected to the data server 200 300).

The data server 200 includes a data receiver 210 for receiving and collecting data received by the remote device 100 and a data receiver 210 coupled to the data receiver 210 for receiving A data analyzer 220 for analyzing the collected data and a data corrector 230 connected to the data analyzer 220 to correct the analyzed data in the data analyzer 220, A server memory 240 connected to the server memory 240 to temporarily store the data corrected by the data corrector 230 and a memory controller 240 connected permanently to the server memory 240 to temporarily store data temporarily stored in the server memory 240. [ And a database 250 for storing the data.

The client 300 further includes a data requestor 310 for requesting data from the data server 200 and a response requesting unit 330 for receiving a response from the data inquirer 310, And a client memory 320 for temporary storage.

Now, the operation of the estimated leakage analysis system based on the flow history data correction according to the present invention constructed as described above will be described.

First, a plurality of remote devices 100 receive data from a remote meter installed in the meter of each customer, and the received data is transmitted to the data receiver 210 of the data server 200. Thereafter, the data received and collected by the data receiver 210 is transmitted to a data analyzer 220 to analyze data processing and minimum night time. Thereafter, the data processed in the data analyzer 220 is transmitted to the data corrector 230, and compared with the historical data stored in the database 250, the data is corrected. Thereafter, the corrected data is temporarily stored in the server memory 240 and then permanently stored in the database 250,

The client 300 requests data inquiry to the data server 200 through the data inquirer 310. The data server 200 requested to inquire the data inquires the inquiry data from the database 250, And transmitted to the client 300 as a response. The response sent to the client 300 is temporarily stored in the client memory 320 and is exposed to the outside through a display (not shown).

Now, with reference to FIG. 4, an outlier correction algorithm according to the present invention will be described.

First, data is collected through the remote device 100 (S410). Then, the flow rate data is measured (S411). Thereafter, the standard deviation of the measured flow rate data is analyzed (S412). Thereafter, an upper limit value / a lower limit value of the standard deviation is calculated (S413). Thereafter, it is determined whether the flow rate data is out of the upper limit / lower limit by checking the flow rate data (S414). If the flow rate data does not deviate from the upper limit value or the lower limit value range in step S414, the measured value and the correction value are registered (S415), and the measured value and the corrected value are input to the database 250 (S416) If the flow rate data is out of the range of the upper limit value / lower limit value, it is determined whether the duration of the flow rate data is continuously out of the range of the upper limit value / lower limit value within 5 minutes or 5 minutes or more (S417). Thereafter, if the duration is 5 minutes or longer, the flow advances to step S415 and is input to the database 250. If the duration is less than 5 minutes, the upper limit of the flow data / Lower limit is determined (S418). If the lower limit of the flow data is less than the lower limit, the lower limit is applied (S419), the flow advances to step S415 and is input to the database 250. In step S418, If the difference is equal to or greater than the upper limit value, the lower limit value is applied (S420), and the process proceeds to step S415 and is input to the database 250, thereby terminating the outlier correction algorithm.

In step S414, the flow rate data is checked to determine whether the flow rate data is out of the upper limit value or the lower limit value, and the pattern is analyzed by analyzing the flow rate pattern for each period using the past history data.

A graph pattern in which the ideal value is corrected as described above is shown in Fig. As shown in Fig. 5, the abnormality measurement value (i.e., bouncing value) is corrected for a communication line and other reasons.

Now, with reference to FIG. 6, a missing value correction algorithm according to the present invention will be described.

First, data is collected through the remote device 100 (S610). Then, the flow rate data is measured (S611). Thereafter, it is determined whether or not the value of the flow rate data is zero by checking the flow rate data (S612). If the value of the flow rate data is not zero in step S612, the measured value and the corrected value are registered in step S613, and the actual value and the corrected value are input to the database 250 in step S614. In step S612, If the value of the flow rate data is zero, the tilt continuity of the flow rate data is determined (S615). Thereafter, if the tilt of the flow data is continuous in step S615, the process proceeds to step S613 and is input to the database 250. If the tilt of the flow data is not continuous in step S615, (S616). The flow proceeds to step S613 and is input to the database 250, thereby terminating the missing value correction algorithm.

A graph pattern in which the missing value is corrected as described above is shown in Fig. As shown in Fig. 7, a period in which data collection fails for communication failure and other reasons is corrected.

As described above, the estimated leakage analysis system based on the flow history data correction according to the present invention can provide ease of use and consistency with the normalization of the index for analyzing the leakage amount, and the flow history data of the recent years are pre- It is possible to increase the reliability of the analysis result by applying the indicator according to the characteristic of each block by calculating the charge based on the corrected flow history data and also to determine the occurrence of leakage, It is possible to improve the efficiency of the project because it is possible to select the priority plan for the planning and exploration for the leakage exploration for the higher areas.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, Various changes, modifications or adjustments to the example will be possible. Therefore, the scope of protection of the present invention should be construed as including all changes, modifications, and adjustments that fall within the spirit of the technical idea of the present invention.

100: remote device 200: data server
210: data receiver 220: data analyzer
230: Data corrector 240: Server memory
250: Database 300: Client
310: Data Queryer 320: Client Memory

Claims

A remote device (100) for receiving data from a remote meter installed in a meter of the customer;
A data server 200 wirelessly connected to the remote device 100 for collecting, correcting and storing data received at the remote device 100;
And a client (300) connected wirelessly with the data server (200).

The method according to claim 1,
The data server (200)
A data receiver (210) for receiving and collecting data received by the remote device (100);
A data analyzer (220) coupled to the data receiver (210) for analyzing data received and collected by the data receiver (210);
A data corrector 230 coupled to the data analyzer 220 for correcting the analyzed data in the data analyzer 220;
A server memory (240) coupled to the data corrector (230) for temporarily storing corrected data in the data corrector (230);
And a database 250 for permanently storing data temporarily stored in the server memory 240 in connection with the server memory 240. [ system.

The method according to claim 1,
The client (300)
A data requestor 310 for requesting data from the data server 200;
And a client memory (320) connected to the data inquiry unit (310) for temporarily storing a response to a content requested by the data inquiry unit (310) system.

Collecting data through the remote device 100 (S410);
Measuring the flow rate data (S411);
Analyzing the standard deviation of the measured flow rate data (S412);
Calculating an upper limit value / a lower limit value of the standard deviation (S413);
Determining whether the flow rate data is out of the upper limit / lower limit by checking the flow rate data (S414);
If the flow rate data does not exceed the upper / lower limit values in step S414, actual values and correction values are registered (S415), and the actual values and the correction values are input to the database 250 (S416) (S417) if the flow rate data is out of the range of the upper limit value / lower limit value, and whether the flow rate data is continuously out of the range of the upper limit value / lower limit value within 5 minutes or 5 minutes (S417);
If it is determined in step S417 that the duration is 5 minutes or longer, the flow advances to step S415 and is input to the database 250. If the duration is less than 5 minutes, (S418);
If the lower limit of the flow rate data is less than the lower limit value in step S418, the lower limit value is applied in step S419, and the flow proceeds to step S415 and is input to the database 250. In step S418, (S420), the flow proceeds to step S415 and is input to the database 250. The method according to claim 1,

The method of claim 4,
Wherein the flow rate data is analyzed to determine whether the flow rate data is out of the upper limit value or the lower limit value in step S414, and the pattern is analyzed by analyzing the flow rate pattern for each period using the past history data. Method for estimating leakage of water based on data correction.

Collecting data through the remote device 100 (S610);
Measuring flow rate data (S611);
Determining whether the value of the flow rate data is zero by checking the flow rate data (S612);
If the value of the flow rate data is not zero in step S612, the measured value and the corrected value are registered in step S613, and the actual value and the corrected value are input to the database 250 in step S614. In step S612, A step S615 of determining the tilt continuity of the flow rate data if the value of the flow rate data is zero;
If the tilt of the flow rate data is continuous in step S615, the process proceeds to step S613 and is input to the database 250. If the tilt of the flow rate data is not continuous in step S615, The flow rate pattern is analyzed (S616), and the flow proceeds to the step S613 and is inputted to the database 250. The estimated flow rate analyzing method based on the flow history data correction.