KR101687636B1 - Method, server and system for managing water distribution - Google Patents

Abstract

The present invention relates to a water pipe management method, a server thereof, and a system thereof for accurately calculating a leakage amount or a water flow rate of leaked water generated in each unit block. According to an embodiment of the present invention, the water pipe management method comprises the following steps of: receiving supply amount data from a supply amount measurement sensor; receiving consumer meter amount data, inputted by a meterman, from a customer meter amount data collection server; classifying types of the received consumer meter amount data; correcting the received customer meter amount data to be identical to a preset analysis period in accordance with the classified types; and calculating the water flow rate by using the corrected customer meter amount data and the received supply amount data.

Description

[0001] METHOD, SERVER AND SYSTEM FOR MANAGING WATER DISTRIBUTION [0002]

The present invention relates to a water supply network management method, a server, and a system. More particularly, the present invention relates to a water supply pipe network management method, a server, and a system for more accurately estimating the leakage amount or flow rate of leakage water generated for each unit block.

Recently, the amount of water leakage in Korea has been gradually increasing due to the aging of the water pipe network. According to the statistical data, annual water leakage amount is 626 million tons as of 2012, with a loss of 600 billion won. As of 2012, the nationwide water supply rate is 98.1%, which is lower than 99.7% in Australia and 99.3% in Germany, but higher than other OECD countries such as 97.5% in Japan and 97.2% in Denmark. However, the national average production rate is 83.2%, but 79.3% of municipalities and 64.6% of municipal governments are municipalities excluding municipalities and metropolitan cities.

The amount of leaks is calculated by the difference in the amount of water in the water supply area from the supply volume of the water purification plant or drainage area. The water yield is calculated by the ratio between the amount of the inspection and the supply amount. Recently, the problem of supply of stable water supply in the water supply area has been continuously raised, so that the block system of the water supply network (block system) is being promoted in order to ensure the accuracy of the leak amount estimation. As described above, by zoneing the water supply network, the flow meter is installed in the inflow portion of each zone, and the real-time supply amount is measured, thereby making it possible to more easily and accurately calculate the leakage amount / flow rate per zone.

However, in order to estimate the oil flow rate and leakage rate by area, it is necessary to supply water to the water purification plant or reservoir and the water supply to the water supply area. The supply amount is measured in real time, , It is not collected accurately from the beginning of the month to the end of the month, but it differs by a certain period. Due to the difference in the collection period, the monthly flow rate and the amount of leakage are different from the actual flow rate.

In the prior art, there is a Korean Patent Registration No. 10-1042304 (system for increasing the flow rate linked to a fee management system). In this document, monthly or daily flow rate fluctuation, flow rate and leak rate are calculated for each block, And a leakage state alarm is generated in the corresponding block when it is 10% or more. However, the technique also has limitations in solving the problem of the collected water quantity and the error between the actual quantity and the actual water quantity and the amount of leakage.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a water supply pipe network management method, a server and a system, which can accurately calculate a water flow rate and a water leakage amount by correcting an inspection amount of an inspection water meter by a meter.

A method for managing a water supply network according to an embodiment of the present invention includes the steps of receiving supply amount data from a supply amount measuring sensor, receiving the acceptance meter amount data inputted by a meter reading source from a customer meter reading amount data collecting server, Classifying the type of the data, correcting the received inspection meter amount data so as to match the predetermined analysis period according to the classified type, and using the corrected inspection meter amount data and the received supply amount data And estimating the flow rate.

In the present invention, the supply amount data may be instantaneous flow amount data or accumulated amount data.

In the present invention, the step of calibrating the acceptance meter amount data may include comparing the acceptance meter measurement data a1, the n-1 month supply amount data a2, the n- (N + 1) month intake amount measurement data (a4), the noun supply amount data (a5), and the ninth month supply amount data (a6) (ac) to a1- (a1 * a3 / a2) + (a4 * a6 / a5).

In the present invention, the step of calibrating the acceptance meter amount data may include comparing the n-1 month acceptance meter measurement data b1, the n month supply amount data b2, Month supply amount data b3, the n + 1 month supply amount data b4, the n + 1 month supply amount data b5, and the n + (bc) to b1 + (b1 * b3 / b2) - (b4 * b6 / b5).

로 산출하는 단계를 포함할 수 있다. In the present invention, the step of correcting the acceptance meter amount data may include comparing the n-1 month acceptance meter amount data c1, the n month supply amount data c2, Month supply amount data c5, and n + 1 month-1 to m day supply amount data a61 to c6m (c61 to c6m) ) And confirming the nth month customer measurement data correction value cc

. ≪ / RTI >

Determining whether the received supply amount data is less than or equal to a threshold value, calculating supply amount data less than or equal to the threshold value as a valid value, and excluding supply amount data having a value greater than the threshold value as effective values, Calculating a supply amount data fingerprint with the calculated effective value, and calculating a dead-rate of the supply amount measuring sensor, wherein the step of correcting the acceptance amount-of-measurement data comprises: comparing the calculated supply amount data fingerprint, And calibrating the received acceptance meter amount data so as to coincide with the predetermined analysis period according to the classified type using the dead zone rate of the supply quantity measuring sensor.

According to another aspect of the present invention, there is provided a method for managing a water supply network, the method comprising: receiving pressure data from a pressure measurement sensor; receiving acceptance meter data input by a meter probe from an acceptance meter data collecting server; The method comprising the steps of: classifying the type of quantity data; correcting the received customer meter reading data so as to match a predetermined analysis period according to the classified type; and using the corrected customer meter reading data and the received pressure data And estimating the flow rate.

In the present invention, the step of correcting the acceptance meter-reading data may include comparing the acceptance meter measurement data a1, the n-1 month pressure data a2, and the n-1 month pressure data a2 when the received meter- (A3), the n + 1 month month reception meter measurement data (a4), the n month monthly maintenance pressure data (a5), and the late last month nasal pressure data (a6) And calculating the value ac by a1- (a1 * a3 / a2) + (a4 * a6 / a5).

In the present invention, the step of correcting the acceptance meter-reading data may include comparing the n-1 month acceptance meter measurement data b1, the n month pressure data b2, and the n tank pressure data b2 when the received acceptance meter- (B4), n + 1 month pressure data (b5), and n + 1 month initial pressure data (b6), and the n month reception meter measurement data correction And calculating the value bc as b1 + (b1 * b3 / b2) - (b4 * b6 / b5).

로 산출하는 단계를 포함할 수 있다. (C1), n month pressure data (c2), and n (n2) monthly inspection data, when the received acceptance meter amount data is classified into the third type, (N + 1) month-month tank pressure data (c5) and (n + 1) month-1 to m-day tank pressure data (a61- c6m)); And the nth month customer meter reading data correction value (cc)

. ≪ / RTI >

Determining whether the received pressure data is less than or equal to a threshold value, estimating the pressure data less than or equal to the threshold value and removing the pressure data having a threshold value or higher from the effective value, The method of claim 1, further comprising the steps of: calculating a pressure data fingerprint with the calculated effective value; and calculating a dead zone rate of the pressure measurement sensor, wherein the step of calibrating the acceptance meter reading data comprises: And correcting the received acceptance meter amount data so as to match the predetermined analysis period according to the classified type using the rate.

The method of claim 1, further comprising the steps of: receiving supply gauge data from the supply gauge data collection server; receiving the supply gauge data from the supply gauge data collection server; Determining whether the received supply gauge data is used geographical data when it is determined that the received supply gauge data is identical to the received supply gauge data; And correcting the supply pipe geographical data and fixing the corrected supply pipe geographical data to the usage geographical data.

The water supply network management server according to the embodiment of the present invention includes a water supply amount data management unit for receiving supply amount data from at least one supply amount measurement sensor, a water meter reading unit for receiving the water meter reading data input by the meter reading unit from the water meter reading data collection server, An acceptance meter data classifier for classifying the received acceptance meter amount data according to a type of the received acceptance meter data; And a flow rate calculation unit for calculating a flow rate using the corrected amount data and the received supply amount data.

The water supply network management server of the present invention may further include a water supply pressure data management unit for receiving pressure data from at least one pressure measurement sensor.

The water management management server of the present invention determines whether or not a water supply geographical data management unit for receiving water supply geographical data from a water supply geographical data collection server and a water supply list included in the customer measurement amount data and a water supply pipe list of the received water supply geographical data And when it is determined that the received water supply geographical data matches the received water supply pipe geographical data, the received water supply pipe geographical data is determined as the used geographical data, and when it is determined that they do not match, And a supply water geographic data correction unit for correcting the corrected supply water geographic data to use geographic data.

The water management management server of the present invention includes a waterless water quantity calculating section for calculating a waterless water quantity, a supply quantity measuring sensor for calculating a dead zone rate of the supply quantity measuring sensor, a pipe pressure measuring sensor for calculating a dead- And the flow rate calculator calculates the flow rate using the calibrated customer meter reading data, the received supply quantity data, the estimated waterlessness, and the supply sensor measurement failure rate, The flow rate data can be calculated using the received data, the received pressure data, the estimated anhydrous water quantity, and the dead-zone sensor pressure ratio.

로 산출할 수 있다. The acceptance meter-reading data correcting unit of the present invention is characterized in that when it is judged that the received acceptance meter-amount data is classified into the first type from the customer meter-quantity data classification unit, Month supply amount data a3 and the n + 1 month month reception amount measurement amount data a4, the noun supply amount data a5 and the nonday month supply amount data a6, (A1 * a3 / a2) + (a4 * a6 / a5), and the received acceptance meter-reading data from the acceptance meter-amount data type classifier Month supply amount data b2, the nonday-second supply amount data b3, the ninth month reception amount measurement data b4, and the n + 1 month reception amount data b3, January supply amount data b5 and the n + 1 th month supply amount data b6 are checked, and the nth month acceptance amount data correction (bc) is calculated as b1 + (b1 * b3 / b2) - (b4 * b6 / b5), and if it is determined that the received acceptance amount data is classified as the third type , n month supply amount data c1, n month supply amount data c2, n 1st month to m day supply amount data c31 through c3m, nth month customer acceptance amount data c4, n + 1 Month supply amount data c5 and supply amount data a61 to c6m of n + 1 month-1 month to m day) and confirms the nth month customer inspection amount data correction value cc

.

로 산출할 수 있다. The acceptance meter-reading data correcting unit of the present invention is characterized in that when it is judged that the received acceptance meter-amount data is classified into the first type from the customer meter-quantity data classification unit, Month tank pressure measurement data a4 and the nth month pressure data a5 and the late ninth month pressure data a6 are checked, and n (A1 * a3 / a2) + (a4 * a6 / a5), and the received acceptance meter-reading data from the acceptance meter-amount data type classifier (B2), the nondominant pressure data b3, the nondomestic customer measurement data b4, and the n + 1 month reception data b1, (B1 + b3 / b2) - ((b1 * b3 / b2) - (b1)) is obtained by confirming the monthly tank pressure data b5 and the n + b4 * b6 / b5), and if it is determined from the acceptance meter-amount data type classifier that the received acceptance meter-amount data is classified into the third type, the n-1 month acceptance meter measurement data (c1), n The monthly pressure data c2, the monthly pressure data c31 to c3m for n 1 to m days, the monthly cavi meter water amount data c 4, the n + 1 month pressure data c 5 and the n + m days of the maintenance data (a6 to c6m)) and confirms the nth month customer meterage data correction value cc

.

The water supply pipe network management system according to an embodiment of the present invention may include an acceptance meter data collection server for collecting meter data from the meter reading source, a supply data collection server for collecting the supply data measured by the at least one supply quantity measuring sensor, A supply amount data management unit for receiving supply amount data from the supply amount measurement sensor, a reception amount measurement amount data management unit for receiving the reception amount measurement amount data inputted by the inspection amount source from the reception amount measurement amount data collection server, An acceptance meter data amount correcting unit for correcting the received acceptance meter amount data so as to match a predetermined analysis period according to the classified type, Received ball And a water distribution network management server including a water flow rate calculation unit for calculating the water flow rate using the water flow rate data.

According to the present invention, accurate water flow rate and water leakage amount can be calculated by correcting an error measurement amount by the meter reading amount of each block.

Through this, it is possible to accurately identify the section where the leakage occurs, and to quickly take measures to solve the leakage problem, thereby improving the flow rate.

1 is a configuration diagram of a water supply network management system 10 according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a method of managing a water supply pipe network performed by the water supply network management server 100 according to the first embodiment of the present invention.
FIG. 3 is a flow chart for explaining a method of correcting an inspection amount data of a customer, which embodies the step S204 of FIG.
FIG. 4 is a flowchart illustrating a water supply network management method performed by the water supply network management server 100 according to the second embodiment of the present invention.
FIG. 5 is a flowchart illustrating a method of managing a water supply network in a water supply network management server 100 according to a third embodiment of the present invention.
Figs. 6 and 7 are views showing one embodiment of daily flow rate fingerprint data.
FIG. 8 is a graph showing the supply amount, the amount of incoming water, the amount of water leakage, and the flow rate of water according to the embodiment of FIGS.
Figs. 9 and 10 are diagrams showing one embodiment of daily routine pressure fingerprint data.
FIG. 11 is a graph showing the pipe pressure, the amount of the probe, the amount of water leakage, and the flow rate of water according to the embodiment of FIGS. 9 and 10. FIG.
Fig. 12 is a diagram for explaining an example of calculating an estimated leak amount in the case where no meter reading amount is collected.
13 is a diagram for explaining an example of a relationship between an AZNP (Average Zone Night Pressure) and a PCF (Pressure Correction Factor).

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a configuration diagram of a water supply network management system 10 according to an embodiment of the present invention. The water supply network management system 10 of the present invention includes a water supply network management server 100, a customer survey data collection server 200, a supply data collection server 300, a maintenance data collection server 400, (500), a database (600), a feed rate measurement sensor (310), and a pipe pressure measurement sensor (410).

The water supply network management server 100 manages the entire water supply network, and manages the water supply network of large blocks, medium blocks, and small blocks. The water supply is supplied from one water purification plant to several reservoirs, and is supplied to the customer through a drainage main pipe and a drainage pipe from a single reservoir. In the blocked system, the water supply zone of one water purification unit is a large block, Of these, the water supply section of the block and drainage branch unit corresponds to the small block.

The water supply network management server 100 includes a water metering amount data management unit 101, a water supply amount data management unit 102, a waterworks pressure data management unit 103, a customer measurement data type classification unit 104, A water supply rate calculation unit 105, a flow rate calculation unit 106, a water supply unit geographical data management unit 107, a water supply pipe geographic data correction unit 108, a supply amount measurement sensor dead balance ratio calculation unit 109, And a water anhydrous quantity calculating section 111.

The customer meter-amount data management unit 101 is a component for managing the customer meter-measurement data collected by the meter-checker. The customer meter reading data management unit 101 receives the customer meter reading data from the customer meter reading data collection server 200 and transmits the data to the customer meter reading data type classification unit 104 and the water supply channel data correction unit 108 . Also, the customer meter reading data management unit 101 stores the received customer meter reading data in the database 600.

The water supply amount data management unit 102 is a component that manages the supply amount data collected from each supply amount measurement sensor 310. The water supply amount data management unit 102 of the present invention receives the supply amount data through the supply amount data collection server 300. [ The water supply amount data management unit 102 stores the supply amount data in the database 600 and transmits it to the acceptance amount measurement data correction unit 105 and the yield rate calculation unit 106. According to the embodiment of the present invention, the water supply amount data management unit 102 can receive the supply amount data from the individual supply amount measurement sensor 310 in real time.

The water supply pressure data management unit 103 is a component that manages the pressure data collected from the respective pressure measurement sensors 410. The water supply pressure data management unit 103 of the present invention receives the supply amount data through the pressure data collection server 400. [ The water supply pressure data management unit 103 stores the pressure data in the database 600 and transmits the data to the customer measurement data correction unit 105 and the yield rate calculation unit 106. According to an embodiment of the present invention, the water supply pressure data management unit 103 can receive the supply amount data from the individual pressure measurement sensor 410 in real time.

The acceptance inspection amount data type classification unit 104 is a component that receives the acceptance inspection amount data through the acceptance inspection amount data management unit 101 and classifies the type of the data into the first type to the third type. The acceptance inspection amount data type classification unit 104 classifies the type of data and transmits the type classification information and the acceptance inspection amount data to the acceptance inspection amount data correction unit 105.

The customer survey amount data correction unit 105 receives the supply amount data from the water supply amount data management unit 102, receives the maintenance pressure data from the water supply pressure data management unit 103, Receives the classification information and the customer meter reading data, and corrects the customer meter reading data using the received supply quantity data, pressure data and type classification information. The customer inspection amount data correction unit 105 corrects the customer inspection amount data by different calculation methods according to the type classification information. A method of correcting the customer meter reading data will be described in detail with reference to FIG.

The customer inspection amount data correction unit 105 transmits the corrected customer inspection amount data to the yield rate calculation unit 106. [ When receiving the supply amount measurement sensor dead zone value from the supply amount measurement sensor dead zone ratio calculation unit 109, the customer inspection amount data correction unit 105 applies the dead zone value to the supply amount data (at 100, Value is multiplied), and the acceptance meter data is corrected using the supply quantity data to which the dead rate is applied. In addition, when receiving the pipe pressure measurement sensor dead-rate value from the pipe pressure measurement sensor dead-rate calculation unit 110, the customer inspection amount data correction unit 105 applies a dead-rate value to the pipe pressure data, The customer meter reading data can be corrected using the pressure data.

The oil yield calculation unit 106 receives the calibrated customer meter reading data from the customer meter reading data correction unit 105 and receives the supply amount data from the water supply amount data management unit 102, The water yield rate is calculated by receiving the waterless quantity data. In the present invention, anhydrous water is a quantity of water that has not received a charge in the effective water quantity, for example, the quantity of water in the meter, the water quantity for the waterworks business, the public water quantity, The amount of leakage is the value obtained by subtracting the amount of inspection and the amount of water in the supply, and the yield rate is calculated by (supply amount - leak amount) / (supply amount). When the supply rate measurement sensor dead-rate value is received from the supply-amount-measurement-sensor dead-rate calculation unit 109, the flow rate calculation unit 106 applies a dead-rate value to the supply-amount data (a value obtained by subtracting the dead- , And the flow rate is calculated using the supply amount data to which the dead zone rate is applied.

In addition, when the oil-flow rate measurement sensor dead-rate value is received from the oil-pressure measurement sensor dead-rate calculation unit 110, the oil-flow rate calculation unit 106 applies the dead-rate value to the tank pressure data, The flow rate can be calculated. Further, the yield rate calculation section 106 of the present invention receives the tank pressure data from the water quality tank pressure data management section 103, and uses the tank pressure data at the time of estimating the leak amount. The leakage amount estimation will be described in detail with reference to FIG.

The water supply pipe geographical data management unit 107 is a component for managing the geographical data of the water supply pipe. The water supply pipe geographical data includes a water supply pipe list, map data showing a position of each water supply pipe and a boundary line indicating a block. The water supply geographical data is formed of data classified into small blocks, medium blocks, and large blocks. If the flow rate of a specific small block is required, the water supply geographical data corresponding to the small blocks are extracted and supplied to the water supply geographical data correction unit 108). The water supply pipe geographical data management unit 107 can manage water supply geographical data stored in the database 600 and can receive water supply geographical data from the water supply pipe geographical data collection server 500 in real time.

The water supply pipe geographical data correction unit 108 is a component for correcting the supply water geographical data so as to include the measured water amount data received and the received water supply pipe geographical data so as to include the water amount measurement data or the reception water amount data. Specifically, the water supply system geographic data correction unit 108 determines whether or not a water supply list of the water supply gauge data matches the water supply list of the water supply meter data and the received water supply list of the received water supply geographic data. Correct the water supply geographic data to include the water supply list included in the meter reading data. The water supply geographic data correction unit 108 changes or adds the boundary line so as to include the water supply list included in the customer meter data when the water supply geographic data is corrected. In this case, the added boundary line may indicate that the water supply geographical data is corrected data in a color or thickness different from the initially displayed boundary line. The water supply pipe geographic data correction unit 108 may store the corrected water supply pipe geographic data in the database 600 and transmit it to the water supply geographic data collection server 500. The water supply pipe geographical data collection server 500 updates the water supply pipe geographical data and thereafter transmits the updated water supply pipe geographical data when the water pipe geographical data management unit 107 requests the data.

The supply amount measurement sensor dead zone ratio calculation unit 109 is a component for calculating the dead zone rate of the supply amount measurement sensor 310. The supply amount measurement sensor dead zone ratio calculation unit 109 receives the dead zone rate of the supply amount measurement sensor 310 from the supply amount data collection server 300, And transmits it to the measurement amount data correction unit 105 or the yield rate calculation unit 106. According to the embodiment of the present invention, the supply amount measurement sensor dead-rate calculation unit 109 may directly calculate the dead-rate of the supply amount measurement sensor 310 while communicating with each supply amount measurement sensor 310 in real time.

 The dead-zone determining unit 110 is a component for calculating the dead-rate of the tubular-pressure measuring sensor 410. The dead-rate calculating unit 410 receives the dead-rate of the tubular-pressure measuring sensor 410 from the tubular- And transmits it to the measurement amount data correction unit 105 or the yield rate calculation unit 106. In accordance with an embodiment of the present invention, the dead-zone determining unit 110 may directly calculate the dead-rate of the tubular-pressure measuring sensor 410 while communicating with the respective tubular-pressure measuring sensors 410 in real time.

The anhydrous quantity calculation unit 111 is a component for calculating an anhydrous quantity, which is a quantity that does not receive a fee, such as a quantity of the meter failure, a water supply business quantity, a public quantity, and a fraud consumption quantity. The anhydrous quantity calculation unit 111 receives the supply quantity data from the supply quantity data collection server 300 and receives the supply quantity measurement sensor dead band rate of the supply quantity measurement sensor dead band ratio calculation unit 109 to calculate the meter dead band quantity. The anhydrous quantity calculation unit 111 transmits the waterless quantity value to the oil yield ratio calculation unit 106.

The customer meter reading data collection server 200 is a component for collecting meter reading data input from the meter reading source. When the meter probe inputs meter reading data through a terminal (not shown), the terminal transmits meter reading data to the meter reading data collection server 200. When the water service network management server 100 requests the water service meter data collection server 200, the water service meter data collection server 200 transmits the water service meter measurement data of a specific block to the water service meter data management unit 101.

The supply amount data collection server 300 is a component that collects supply amount data measured by the plurality of supply amount measurement sensors 310. [ The supply amount measuring sensor 310 is formed of a water flow sensor and transmits the supply amount data to the supply amount data collection server 300 through wireless communication. The supply amount data collection server 300 transmits the supply amount data of a specific block to the water supply amount data management part 102 when the water supply network management server 100 requests it.

The pressure data collection server 400 is a component that collects pressure data measured by a plurality of pressure measurement sensors 410. [ The pressure measuring sensor 410 is formed of a pressure sensor, and the pressure sensor may be an electronic pressure sensor, a semiconductor pressure sensor, or the like. The tubular pressure measurement sensor 410 transmits the tubular pressure data to the tubular pressure data collection server 400 through wireless communication. When the water supply network management server 100 requests the pipe pressure data collection server 400, it transmits the pipe pressure data of a specific block to the water supply pipe pressure data management unit 103.

The water supply geographic data collection server 500 is a component for collecting and managing water supply geographical data including a water supply list and map data in which boundary lines indicating the locations and blocks of the respective water supply pipes are displayed. The supply water geographic data collection server 500 manages all the supply water geographical data classified into small blocks, medium blocks, and large blocks, and when requested by the water supply network management server 100, (107). At this time, the water supply pipe geographical data collection server 500 may generate the water supply pipe geographical data extended to a predetermined ratio (for example, 1.5 times) than the requested block and transmit it to the water supply pipe geographical data management unit 107. This corresponds to the process of generating basic map data for changing or adding the boundary of a block when there is a part of the supply pipe missing in the supply pipe geographical data compared with the customer probe data.

The database 600 is a repository for storing data used by the water supply network management server 100. The database 600 stores the supply amount data, the pipe pressure data, the flow rate data, the water supply pipe geographical data, the waterless water quantity data, the customer meter data, the supply quantity data and the pressure fingerprint data. Here, the supply amount and the pressure fingerprint data correspond to the bending image data of the graph formed by monthly, daily or hourly supply amount and pipe pressure. The database 600 communicates with the waterworks management network server 100 and stores data generated by the waterworks network management server 100.

The water supply network management server 100 of the present invention includes a customer water meter data collection server 200, a supply water data collection server 300, a maintenance pressure data collection server 400, a water supply pipe data collection server 500, And data can be transmitted / received through wired / wireless communication, and wireless communication can be cellular communication and short distance communication. In this case, the water supply network management server 100 further includes a cellular communication unit (not shown) and a local communication unit (not shown). Cellular communications include Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Global System for Mobile communications (GSM), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX) (NFC) module, a Bluetooth module, a Radio Frequency Identification (RFID) module, a Zigbee module, and a UWB (Wideband Network) Ultra Wideband module, an IrDA (Infrared Data Association) module, and an MST (Magnetic Secure Transmission) module.

The detailed components of the water supply network management system 10 and the water supply network management server 100 of the present invention have been described above and the following description of the water supply network management method performed by the water supply network management server 100 do.

FIG. 2 is a flowchart illustrating a method of managing a water supply pipe network performed by the water supply network management server 100 according to the first embodiment of the present invention.

In step S201, the water supply amount data management unit 102 receives the supply amount data through the supply amount data collection server 300. [ According to the embodiment of the present invention, in step S201, the water pressure data manager 103 may receive the water amount data through the pressure data collection server 400. [

In step S202, the acceptance amount measurement data management unit 101 receives the acceptance amount measurement data from the acceptance amount measurement data collection server 200. [ The received acceptance meter-amount data is transmitted to the acceptance meter-amount data classifier 104.

In step S203, the acceptance inspection amount data type classification unit 104 receives the acceptance inspection amount data and classifies the type of data into the first type to the third type. In the present invention, the first type is a data type starting from the end of the previous month, the second type is a data type ending in the first month of the next month, the third type is a type ending after a plurality of days Data type. The customer survey type data classification unit 104 classifies the type of data and transmits the type classification information and the customer survey amount data to the customer survey amount data correction unit 105.

In step S204, the customer inspection amount data correction unit 105 corrects the customer inspection amount data by type. That is, the customer inspection amount data correction unit 105 corrects the received customer inspection amount data so as to match the predetermined analysis period according to the classified type. The detailed correction method will be described in detail in FIG. The customer inspection amount data correction unit 105 transmits the corrected customer inspection amount data to the yield rate calculation unit 106. [

In step S205, the yield rate calculation unit 106 receives the corrected customer measurement amount data from the customer inspection amount data correction unit 105, receives the supply amount data from the water supply amount data management unit 102, 111), and calculates the flow rate. The oil-flow rate calculation unit 106 calculates the amount of water leakage by subtracting the amount of measurement and the water-free amount from the amount of supply, and calculates the oil-flow rate by (supply amount-leakage amount) / (supply amount).

FIG. 3 is a flow chart for explaining a method of correcting an inspection amount data of a customer, which embodies the step S204 of FIG.

If it is determined in step S301 that the data type is the first type, the customer inspection amount data correction unit 105 checks the n-month customer inspection amount data a1 in step S302, a2), and confirms the supply amount data a3 at the end of the (n-1) th month at step S304. In addition, in step S305, the n + 1 month acceptance meter measurement data a4, the n month supply amount data a5 in step S306, and the late ninth month supply amount data a6 in step S307 are confirmed. In the present invention, the month corresponds to the analysis period in which the oil yield is to be measured.

In step S308, the customer measurement amount data correction unit 105 calculates the month customer measurement amount correction value ac as a1- (a1 * a3 / a2) + (a4 * a6 / a5). The data of the acceptance meter amount of the last month of the last month is calculated by using the amount of the customer meter amount of the month and the supply amount data of the previous month, The data of the acceptance meter amount of the end of the month is calculated by using the meter inspecting amount of the next month and the supply amount data of the corresponding month.

If it is determined in step S301 that the data type is not the first type, the acceptance amount measurement data correction unit 105 proceeds to step S309 to determine whether the data type is the second type, and if the data type is the second type Month receipt amount data b1 is confirmed in step S310, the n-month supply amount data b2 is confirmed in step S311, and the n-month first supply amount data b3 is confirmed in step S312. In addition, the n month reception meter amount data b4 is checked in step S313, the n + 1 month supply amount data b5 is checked in step S314, and the supply amount data b6 of the n + 1 th month is checked in step S315.

In step S316, the customer survey amount data correction unit 105 calculates the n month customer survey amount data correction value bc as b1 + (b1 * b3 / b2) - (b4 * b6 / b5). This is to add the meter reading data of the first month of the month and to reduce the meter reading data of the first month of the next month. The data of the meter reading quantity of the first month is calculated by using the meter reading quantity of the previous month and the supply data of the month , And the data of the first month's receipt of the customer is calculated by using the data of the customer's amount of the month and the data of the supply amount of the next month.

If it is determined in step S309 that the data type is not the second type, the acceptance amount measurement data correction unit 105 proceeds to step S317 to determine whether the data type is the third type. If the data type is the third type Month supply amount data c1 is checked in step S318 and the n-month supply amount data c2 is confirmed in step S319. In step S320, the supply amount data c31 to c3m ). The supply amount data a61 to c6m of the month n + 1 month to day m + 1 are checked in step S321, the n + 1 month supply amount data c5 in the step S322, do.

In step S324, the acceptance amount-of-inspection data correction unit 105 sets the acceptance amount data correction value cc of the month number

. This is to add the data of the surveyed water quantity of the plural days of the month which is missing in the month and to check the water quantity data of the customer in the next month, Month supply amount data, and the next month's receipt amount data of a plurality of days is calculated by using the customer's inspection amount of the month and the supply amount data of the next month.

In the present invention, the feed rate data may be instantaneous flow rate data or accumulated flow rate data. The following description is an embodiment of a method of estimating the amount of water leakage and the flow rate of water based on the instantaneous flow rate data among the supply amount data.

FIGS. 6 and 7 are diagrams showing one embodiment of instantaneous flow rate fingerprint data, and Table 1 is example data showing the value of instantaneous flow rate per day. 6, 7, and Table 1, it can be seen that the instantaneous flow rate of the supply amount supplied to the water supply zone is different for each day. Hereinafter, an example of correcting the customer meter reading data through Table 2 and Table 3 will be described.

May 30 May 31 June 1 June 2 June 3 00:00 112.4 174.3 115.9 113.4 104.4 01:00 81.4 86.8 111.3 92.2 86.5 02:00 77.3 81.7 103.0 85.6 98.4 03:00 155.3 71.8 76.1 76.6 73.6 04:00 72.4 74.3 76.7 77.4 73.7 05:00 90.1 93.0 86.1 250.2 103.9 06:00 96.9 96.3 84.0 120.5 115.9 07:00 96.2 121.8 209.6 146.3 101.6 08:00 137.2 234.4 146.3 166.6 130.4 09:00 155.1 280.5 159.1 134.2 162.2 10:00 158.5 166.1 171.4 140.1 174.8 11:00 172.6 194.7 151.8 368.7 320.1 12:00 213.6 180.7 192.3 185.7 285.4 13:00 311.3 190.4 196.8 160.2 384.4 14:00 293.5 175.0 187.6 293.9 210.2 15:00 153.3 266.5 187.1 155.8 212.1 16:00 145.5 158.4 172.9 166.3 354.9 17:00 129.1 151.2 181.8 145.8 179.4 18:00 162.8 164.0 160.3 176.8 165.7 19:00 311.1 173.6 229.7 168.3 268.7 20:00 152.5 154.3 139.7 160.7 207.3 21:00 293.6 136.4 139.2 297.0 152.0 22:00 124.6 243.4 170.5 130.0 137.9 23:00 104.1 137.8 157.1 107.4 113.2 sub Total 3800.4 3807.4 3606.3 3919.7 4216.7

In May June In July Water supply (instantaneous flow rate ㎥) 119,937.1 115,938.4 119,439.6 Water supply measuring period  May 1 to May 31  June 1 - June 30  July 1 to July 31 Actual price of water meter (㎥) 108,411.7 Capacity of water to water ratio (%) 93.82 A-type customer meter reading period April 30 - May 30 May 31 - June 29 June 30 - July 30 A-type customer's inspection amount (㎥) 38,291.0 40,246.2 40,661.6 B type charge meter reading period May 2 - June 1 June 2 - July 1 July 2 - August 1 B-type water level (㎥) 36,163.7 36,983.3 37,273.1 C-type water meter reading period May 4 - June 3 June 4 - July 3 July 4 to August 3 C-type brewing amount (㎥) 31,909.2 31,543.9 35,014.1 A + B + C Type of water meter (㎥) 108,773.4

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In the same period, the amount of inspected water (m3 / hr) is consumed in the area where the water supply is supplied, and the amount of water If water quantity is reflected, the amount of water leakage can be accurately calculated in the area where waterworks are supplied.

The first is about the meter-in-the-meter type A (from May 31 to June 29). The instantaneous flow rate (㎥ / day) supplied to the district is 115,938.4㎥ / month from June 1 to June 30 as shown in Table 2. When the meter reading of the type A is based on the meter reading of the month of June, the meter reading of the water meter on May 31 is reduced and the meter meter reading of the water meter on June 30 is added.

In other words, on May 31, the actual A-type customer's inspection quantity is calculated as follows,

㎥/day

M3 / day

On June 30, the actual A-type customer's meter readings are calculated as follows.

㎥/day

M3 / day

In June, the actual A-type customer's inspection volume is decreased from the actual inspection amount (1,277.6㎥) on May 31 to the reception inspection amount (40,246.2㎥) from May 31 to June 29, It can be said that 40,035.8m3 (= 40,141.0m3-1,277.6m3 + 1,172.4m3) which is the actual added amount of the customer's inspection (1,172.4m3).

The second relates to the amount of B-type custody (from June 2 to July 1). If the amount of the B type of the customer is measured based on the amount of inspection of the customer in June, the amount of the inspection of the customer on June 1 is added, and the amount of inspection of the customer on July 1 is decreased.

That is to say, on June 1, the actual amount of blood type B inspection is calculated as follows,

㎥/day

M3 / day

On July 1, actual B - type customer meter readings are calculated as follows.

㎥/day

M3 / day

In June, actual B - type meter readings were added from June 2 to July 1 at the B - type meter reading (36,983.3㎥) to June 1, and actual drinking meter reading (1,124.8㎥) It is 36,822.2 m3 (= 36,983.3 m3 + 1,124.8 m3-1,285.9 m3) which subtracts the actual price of the inspection of the day (1,285.9 m3).

 The third relates to the amount of the C-type consumer (from June 4 to July 3). Based on the amount of water surveyed for the month of June, the actual amount of the customer survey for June 1, June 2, and June 3 is added, and on July 1, July 2 , July 3, respectively.

That is, on June 1, the actual amount of the C-type water meter is calculated as follows,

㎥/day

M3 / day

On June 2, the actual C-type price of the meter is calculated as follows,

㎥/day

M3 / day

On June 3, the actual C type customer meter readings are calculated as follows.

㎥/day

M3 / day

Also, on July 1, the actual amount of the C-type water meter is calculated as follows,

㎥/day

M3 / day

On July 2, the actual C-type customer's meter readings are calculated as follows,

㎥/day

M3 / day

July 3 Actual C type price of the meter is calculated as follows.

㎥/day

M3 / day

In June, the actual C - type meter reading is from June 4 to July 3, from the actual meter reading (31,543.9㎥) to the actual C - type meter reading on June 1 (992.5㎥) (1,078.8 ㎥) and the actual C - type customer survey (1,160.5 ㎥) on June 3, and actual C - type customer survey (1,096.8 ㎥) on July 1 and July 2 The actual C-type price (1,065.2㎥) and the actual C-type price (1,060.0㎥) on July 3 were 31,553.7㎥ (= 31,543.9㎥ + 992.5㎥ + 1,078.8㎥ + 1,160.5㎥-1,096.8㎥-1,065.2㎥ -1,060.0㎥).

 The calibration period of the acceptance meter is adjusted according to the standard period of the acceptance meter, and the calorific value of the meter is subtracted from the instantaneous flow rate, which is the supply amount. In a similar way, the daily leak rate and the hourly leak rate can be calculated in the following manner.

Qleakage = supply flow (Qin) i - meter reading flow (Quse) i - anhydrous quantity (QNr) i (i day or hr)

FIG. 8 is a graph showing the supply amount, the amount of incoming water, the amount of water leakage, and the oil yield calculated by the above example. Fig. 8 shows the results obtained by calibrating the amount of customer surveyed by dividing into types A, B, and C and summing the corrected amount of customer surveyed to calculate the total amount of customer surveyed. In this way, it is possible to calculate the more accurate price of the customer by correcting the price of the customer by sorting by type.

According to the embodiment of the present invention, FIGS. 2 and 3 can be equally applied to the case of estimating the amount of water leakage and the flow rate of water using the pressure data. In this case, the step S201 of FIG. 2 corresponds to the step of receiving the pressure data from the pressure data collection server 400 by the pressure water pressure data management unit 103. [ 3, step S303 is a step of confirming the nasal pressure data a2 of January, step S304 of confirming the last time pressure data a3 of n-l, a5), and step S307 corresponds to the step of confirming the last month's pressure data a6.

Similarly, step S311 is a step of confirming the pressure data b2 of the month n, step S312 is a step of confirming the pressure data b3 of the first month of the month, step S314 is a step of confirming the n + 1 month pressure data b5 , And step S315 corresponds to the step of confirming the n + 1 month old pressure data b6. Step S319 is a step of confirming the nasal pressure data c2. Step S320 is a step of confirming the temporary pressure data c31 to c3m from n 1st to m days. Step S322 is a step of confirming the n + (c5), and step S323 corresponds to the step of confirming the pressure data (a61 to c6m) for the (n + 1) months 1 to m days.

Hereinafter, an embodiment will be described in which the leakage amount and the oil flow rate are calculated using the pressure data.

 FIGS. 9 and 10 are diagrams showing one embodiment of day-by-day routine pressure fingerprint data, and Table 4 is example data showing the daily pressure values. Referring to FIGS. 9, 10 and 4, it can be seen that the pressure in the water supply zone is different for each day. Hereinafter, an example of correcting the customer meter reading data through Table 5 and Table 6 will be described.

May 30 May 31 June 1 June 2 June 3 00:00 9.4 9.5 9.6 9.6 9.5 01:00 9.5 9.5 9.6 9.7 9.7 02:00 9.6 9.6 9.7 9.7 9.6 03:00 9.6 9.7 9.7 9.8 9.7 04:00 9.7 9.8 9.8 9.8 9.7 05:00 9.8 9.8 9.7 9.8 9.7 06:00 9.8 9.8 9.8 9.8 9.8 07:00 9.7 9.7 9.7 9.7 9.3 08:00 9.5 9.2 9.7 9.6 9.6 09:00 9.5 9.5 9.5 9.5 9.6 10:00 8.9 9.0 8.8 8.6 9.5 11:00 8.9 9.0 9.0 8.6 8.7 12:00 9.4 9.5 9.5 9.5 8.9 13:00 9.3 9.6 9.1 9.5 9.0 14:00 9.3 9.2 9.4 9.4 9.2 15:00 9.3 9.2 9.4 9.4 9.4 16:00 9.5 9.3 9.4 9.4 9.1 17:00 9.4 9.4 9.2 9.5 9.3 18:00 9.4 9.3 9.4 9.4 9.4 19:00 9.1 9.3 9.4 9.5 9.3 20:00 8.8 9.1 9.1 9.4 8.9 21:00 8.6 9.1 9.1 8.8 9.0 22:00 9.4 9.4 9.5 8.8 9.5 23:00 9.5 9.5 9.5 9.6 9.5 224.9 (kg / cm2) 226.0 (kg / cm2) 226.6 (kg / cm2) 226.2 (kg / cm2) 224.7 (kg / cm2)

In May June In July Water supply capacity (kg / ㎠) 6,974.7 6,791.7 6,902.5 Water supply measuring period  May 1 to May 31  June 1 - June 30  July 1 to July 31 (B) Capacity of water to water ratio (%) 93.82 A-type customer meter reading period April 30 - May 30 May 31 - June 29 June 30 - July 30 A-type customer's inspection amount (㎥) 38,291.0 40,246.2 40,661.6 B type charge meter reading period May 2 - June 1 June 2 - July 1 July 2 - August 1 B-type water level (㎥) 36,163.7 36,983.3 37,273.1 C-type water meter reading period May 4 - June 3 June 4 - July 3 July 4 to August 3 C-type brewing amount (㎥) 31,909.2 31,543.9 35,014.1 A + B + C Type of water meter (㎥) 108,773.4

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In the same period, the amount of inspected water (㎥ / hr) is consumed in the area where the water supply is supplied, and the amount of water If the quantity is reflected, the leakage amount can be accurately calculated in the area where the water supply is provided.

The first is about the meter-in-the-meter type A (from May 31 to June 29). As shown in Table 5, the pipe pressure (kg / cm 2), which is the supply flow rate supplied to the area, is 6,791.7 kg / cm 2 from June 1 to June 30 of the standard type. When the meter reading of the type A is based on the meter reading of the month of June, the meter reading of the water meter on May 31 is reduced and the meter meter reading of the water meter on June 30 is added.

In other words, on May 31, the actual A-type customer's inspection quantity is calculated as follows,

㎥/day

M3 / day

On June 30, the actual A-type customer's meter readings are calculated as follows.

㎥/day

M3 / day

In June, the actual A-type customer's inspection volume is decreased from May 31 to June 29, from the actual customer inspection amount (1,304.1㎥) on May 31 to the reception inspection amount (40,246.2㎥) (= 40,246.2 m3-1,304.1 m3 + 1,364.4 m3), which is the actual added amount of customer survey (1,364.4 m3).

The second relates to the amount of B-type custody (from June 2 to July 1). If the amount of the B type of the customer is measured based on the amount of inspection of the customer in June, the amount of the inspection of the customer on June 1 is added, and the amount of inspection of the customer on July 1 is decreased.

That is to say, on June 1, the actual amount of blood type B inspection is calculated as follows,

㎥/day

M3 / day

On July 1, actual B - type customer meter readings are calculated as follows.

㎥/day

M3 / day

In June, actual B - type meter readings increased from June 2 to July 1 at the B - type meter reading (36,983.3 m 3) to the actual reading meter reading on June 1 (1,206.5 m 3) It is 36,976.8 m3 (= 36,983.3 m3 + 1,206.5 m3-1,213.0 m3), which is less than the actual amount of inspection (1,213.0 m3) per day.

 The third relates to the amount of the C-type consumer (from June 4 to July 3). Based on the amount of water surveyed for the month of June, the actual amount of the customer survey for June 1, June 2, and June 3 is added, and on July 1, July 2 , July 3, respectively.

That is, on June 1, the actual amount of the C-type water meter is calculated as follows,

㎥/day

M3 / day

On June 2, the actual C-type price of the meter is calculated as follows,

㎥/day

M3 / day

On June 3, the actual C type customer meter readings are calculated as follows.

㎥/day

M3 / day

Also, on July 1, the actual amount of the C-type water meter is calculated as follows,

㎥/day

M3 / day

On July 2, the actual C-type customer's meter readings are calculated as follows,

㎥/day

M3 / day

July 3 Actual C type price of the meter is calculated as follows.

㎥/day

M3 / day

In June, actual C - type meter readings are from June 4 to July 3, from the actual meter reading (31543.9 ㎥) to June 1 actual C - type meter readings (1,064.6 ㎥) and June 2 (1,062.7 ㎥) and the actual C - type customer survey (1,055.7 ㎥) on June 3, and actual C - type customer survey (1,034.3 ㎥) on July 1 and July 2 The actual C-type customer's inspection amount (1,033.2㎥) and the actual C type customer inspection amount (1,037.8㎥) on July 3 were 31,621.6㎥ (= 31,543.9㎥ + 1,064.6㎥ + 1,062.7㎥ + 1,055.7㎥-1,034.3㎥-1,033.2㎥ -1,037.8㎥).

 The calibration period of the acceptance meter is adjusted according to the standard period of the acceptance meter, and the calorific value of the meter is subtracted from the instantaneous flow rate, which is the supply amount. In a similar way, the daily leak rate and the hourly leak rate can be calculated in the following manner.

Qleakage = supply flow (Qin) i - meter reading flow (Quse) i - anhydrous quantity (QNr) i (i day or hr)

Fig. 11 is a graph showing the pipe pressure, the amount of water metering, the amount of water leakage, and the oil yield calculated by the above example. Fig. 8 shows the results obtained by calibrating the amount of customer surveyed by dividing into types A, B, and C and summing the corrected amount of customer surveyed to calculate the total amount of customer surveyed. In this way, it is possible to calculate the more accurate price of the customer by correcting the price of the customer by sorting by type.

FIG. 4 is a flowchart illustrating a water supply network management method performed by the water supply network management server 100 according to the second embodiment of the present invention.

In step S401, the water supply amount data management unit 102 receives monthly supply amount data via the supply amount data collection server 300. [ According to the embodiment of the present invention, in step S401, the water pressure data manager 103 can receive monthly pressure data through the pressure data collection server 400. [

In step S402, the customer survey amount data management unit 101 receives the customer survey amount data from the customer survey amount data collection server 200. [ The received acceptance meter-amount data is transmitted to the acceptance meter-amount data classifier 104.

In step S403, the supply pipe geographical data management unit 107 receives the supply pipe geographical data from the supply pipe geographical data collection server 500. [ The water supply geographic data includes a water supply list and map data showing the location and the boundary lines of the respective water supply pipes. The water supply pipe geographical data management unit 107 transmits the received water supply pipe geographic data to the water supply pipe geographic data correction unit 108. In step S404, the water supply pipe geographical data correction unit 108 compares the water supply pipe geographical data received from the water supply pipe geographical data management unit 107 with the water reception amount data received from the reception water amount data management unit 101 . That is, the water supply pipe geographic data correction unit 108 judges whether or not the water supply pipe list included in the customer measurement amount data matches the water supply pipe list of the received water supply pipe geographical data.

When it is determined that they match, the supply water geographic data correction unit 105 determines the supply water geographic data received from the water supply pipe geographical data management unit 107 as used geographical data. If it is determined that they do not match, the supply water geographic data correction unit 105 corrects the supply water geographic data to include the supply water pipe list included in the customer water quality data, and fixes the corrected supply water geographic data as the usage geographical data . The water supply geographic data correction unit 108 may change or add the boundary line so that the water supply list included in the customer meter data is included in the correction of the water supply geographic data. In this case, the added boundary line may indicate that the water supply geographical data is corrected data in a color or thickness different from the initially displayed boundary line.

In step S405, the acceptance inspection amount data type classification unit 104 receives the acceptance inspection amount data, classifies the type of the data into the first type to the third type, classifies the type classification information and the acceptance inspection amount data into the acceptance inspection amount data (105).

In step S406, the customer inspection amount data correction unit 105 corrects the customer inspection amount data by type, and the detailed correction method is as shown in FIG. The customer inspection amount data correction unit 105 transmits the corrected customer inspection amount data to the yield rate calculation unit 106. [

In step S407, the yield rate calculation unit 106 receives the calibrated customer meter-amount data from the customer-meter-amount-data correction unit 105, receives the supply-quantity data from the water-supply-quantity-data management unit 102, 111), and calculates the flow rate. The oil-flow rate calculation unit 106 calculates the amount of water leakage by subtracting the amount of measurement and the water-free amount from the amount of supply, and calculates the oil-flow rate by (supply amount-leakage amount) / (supply amount).

In FIG. 4, the water pipe geographical data is corrected by comparing the water pipe geographical data with the customer survey data, so that the water leakage and maintenance manager can use the water pipe geographical data including the customer survey data, thereby improving the user's convenience.

FIG. 5 is a flowchart illustrating a method of managing a water supply network in a water supply network management server 100 according to a third embodiment of the present invention.

In step S501, the water supply amount data management unit 102 receives monthly supply amount data through the supply amount data collection server 300. [ According to an embodiment of the present invention, in step S501, the water supply pressure data management unit 103 may receive monthly pressure data through the pressure data collection server 400. [

In step S502, the water supply amount data management unit 102 determines whether the received supply amount data is included in the threshold value range. In the present invention, the threshold value of the supply amount data may be the upper limit value of the supply amount data. The water supply amount data management unit 102 estimates the supply amount data that is equal to or less than the threshold value as a valid value and excludes the supply amount data that exceeds the threshold value in step S503 from the valid value. According to the embodiment of the present invention, in step S502, the water supply pressure data management unit 103 may estimate the pressure value of the tank pressure data that is below the threshold value as a valid value, and exclude the pressure value data that exceeds the threshold value in step S503.

In step S504, the water supply amount data management unit 102 calculates the monthly supply amount data fingerprint as the calculated effective value. According to the embodiment of the present invention, in step S504, the waterworks pressure data management unit 103 may calculate the monthly pressure data fingerprint as the calculated effective value. Here, the supply amount and the pressure fingerprint data correspond to the bending image data of the graph formed by monthly, daily or hourly supply amount and pipe pressure.

In step S505, the supply amount measurement sensor dead zone ratio calculation unit 109 calculates the supply amount measurement sensor dead zone ratio or the pipe pressure measurement sensor dead zone ratio calculation unit 110 calculates the dead zone ratio of the pipe pressure measurement sensor. In the present invention, the supply amount measuring sensor dead-rate and the gas pressure measuring sensor dead-rate means the error rate of the supply amount measuring sensor and the pressure measuring sensor. The supply amount measurement sensor dead-rate or the pipe pressure measurement sensor dead-rate value is transmitted to the customer probe amount data correction unit 105.

In step S506, the acceptance inspection amount data type classification unit 104 receives the acceptance inspection amount data, classifies the type of the data into the first to third types, classifies the type classification information and the acceptance inspection amount data into the acceptance inspection amount data (105).

In step S507, the customer inspection amount data correction unit 105 corrects the customer inspection amount data by type, and the detailed correction method is basically as shown in FIG. 3. In step S308, S316, or S324, The data correcting unit 105 calculates the final data correction value by applying the supply amount measuring sensor dead-rate or the pipe pressure measuring sensor dead-rate. For example, the final data correction value may be calculated by multiplying the ac, bc, and cc values calculated in step S308, step S316, or step S324 by (100-dead-rate) / 100. The customer inspection amount data correction unit 105 transmits the corrected customer inspection amount data to the yield rate calculation unit 106. [

In step S508, the oil yield calculation unit 106 receives the corrected customer measurement data from the customer measurement data correction unit 105, receives the supply amount data from the water supply amount data management unit 102, 111), and calculates the flow rate. The oil-flow rate calculation unit 106 calculates the amount of water leakage by subtracting the amount of measurement and the water-free amount from the amount of supply, and calculates the oil-flow rate by (supply amount-leakage amount) / (supply amount). According to the embodiment of the present invention, the yield rate calculating section 106 calculates the dead zone value in the supply amount data when receiving the supply amount measurement sensor dead zone value from the supply amount measurement sensor dead zone ratio calculating section 109 After applying (after multiplying the value obtained by subtracting the dead rate from 100), the feed rate can be estimated using the feed rate data with the dead rate applied.

According to the third embodiment of the present invention, more accurate data values and fingerprints can be obtained by setting threshold values of the supply amount data or the pressure data, and excluding the values out of the valid values from the valid values.

According to the embodiment of the present invention, the infra-structure condition factor (ICF) can be calculated by applying the calculated leakage amount and the water supply amount to the pressure-based background leakage calculation formula. This can be used to continuously calculate the pipe network condition factor and confirm the pipe replacement time.

In the case of the method based on the instantaneous flow rate or the method based on the accumulated amount of oil or the method based on the pipe pressure, there is a value in which the instantaneous flow amount, the accumulated amount of oil or the pressure is actually recorded, Can be calculated by applying the initial correction coefficient (K) based on the minimum night flow rate (MNF) to the calculated value.

Generally, the pipe pressure is the maximum value during the day between 1:00 am and 4:00 am, when the supply of water to the small block is the lowest. Pressure to the time when the minimum flow occurs throughout the day P _MNF, by defining a leakage is generated in the P _MNF time as L _MNF, leakage with time (T) of the day is _{L T = L MNF × (P} T / P MNF ) ^N1 . The leakage amount calculation is performed by the oil yield calculation unit 106. [

Wherein L _T: time leakage occurring in T (㎥ / hr), L MNF: MNF leakage at the time of the (Minimum Night Flow, the minimum nighttime flow rate) occurred T, P _T: Pressure (kg / ㎠) at time T , P _MNF : Pressure at the time of the day when the minimum night flow is generated (kg / ㎠), N ₁ : Generally, 0.5 ≤ N ₁ ≤ 2.5. Assuming that the monthly maximum pressure is P _2,3 (pressure between 02 and 03 o'clock) and the amount of leakage at P _2,3 is L _2,3 , it is possible to calculate the amount of leakage by time of specific day have.

The amount of water leakage occurring between 0:00 and 1:00 is L _0,1 = L _2,3 × (P _0,1 / P _{2, 3} ) ^N1 , and the amount of water leakage generated between 1:00 and 2:00 is L _{1,2 = L 2,3 × (P 1,2 /} P 2, 3) N1 , and the leakage is occurring between the 24 hour at 23 when the _{L 23,24 = L 2,3 × (P} 23,24 / P 2, ₃ ) ^N1 . Since the calculated data are based on the minimum night flow (MNF) and the maximum night flow pressure (PMNP), they can not be regarded as the actual leak amount. In order to match the leak amount with the actual leak amount, The correction coefficient K is applied.

The initial correction factor (K) based on the minimum night flow (MNF)

&Quot; Monthly leakage amount by K = Sigma analysis module / Monthly leakage amount by? NDF concept ", and L _0,1 to L _23.24 is multiplied by the value of K to calculate the calibrated water leakage by time zone. (L _0, ⁰ = L ₀ , ₁ × K, L ₁ , ₂ ⁰ = L _{1, 2} × K, etc.). The amount of leaked water for each time period thus corrected is calculated. Therefore, to calculate the basic data of L _T0 of the daily leakage for a given day on the basis of the monthly tube apgap and supply the value of the leakage and in real time the measured small block calculated in the month leakage analysis module, such as the content analysis module . Fig. 12 is a diagram for explaining an example of calculating an estimated leak amount in the case where no meter reading amount is collected.

Referring to FIG. 12, the amount of leakage occurring at T ₀ (July 1, 00:00), which is the carryover time of the generated monthly leak graph, is regarded as the initial leak amount (L _T0 ) of the daily leak amount analysis module. L _24,01 ⁰ is calculated by applying the pressure data at the time of carry-over at L _23,24 ⁰ (June 23, 24:00 ~ 24:00), which is finally calculated through monthly monthly leakage analysis (L _24,01 ⁰ = L _2,3 × (P _24,01 / P _{2, 3} ) ^N1 , and the estimated L _24,01 ⁰ is regarded as the _leak amount (L _T0 ) generated at the time T ₀ .

Specifically, a method of estimating the daily leak amount by the supply amount data and the pressure data by time based on the initial leak amount L _T0 is described. The L _MNF value is estimated from the initial leak amount L _T0 and the collected pressure data.

L _T0 = L _MNF x (P _T0 / P _MNF ) In ^N1

_{L MNF = L T0 × (P} T0 / P MNF) -N1, estimates the L _MNF the gwanap leakage by applying the data classified days time acquisition and calculation, where _{(L T1 = L MNF × (} P T1 / P MNF ) ^N1 , L _T2 = L _MNF × (P _T2 / P _MNF ) ^N1 , ...., L _T24 = L _MNF × (P _T24 / P _MNF ) ^N1 . Estimated daily leakage can be summed up to the daily leak amount, and the estimated daily use amount can be calculated by calculating the daily water amount and the daily supply flow amount already collected.

The pipe network and loss factor are collected, and the hydraulic pressure correction factor (PCF) is calculated from the daily flow rate / leak rate analysis, and the pipe network condition factor (ICF) is calculated from the monthly flow rate / leak rate analysis and the leakage amount is calculated . The above-described pipe pressure data-based estimation module is an empirical formula for calculating the background leakage, and the formula for estimating the background leakage is as follows.

Background _{leakage: L Bg (ℓ / hr)} = ICF × PCF × {C 1 × L + (C 2 + C 3) × N} (C 1: drain loss factor (ℓ / ㎞ / hr), C 2: inlet water line loss factor (ℓ / conn / hr), C 3: indoor water line loss factor (ℓ / conn / hr), N: hydrant number (Connections), L: water pipe extension (km), ICF: wait-and-see condition factor (Infrastructure condition Factor, PCF: Pressure Correction Factor)

The PCF is derived by the material of the pipe of the water pipe in the small block and the Average Zone Night Pressure (AZNP), and the following two methods (the first method and the second method) for deriving the PCF are available.

The first method is to calculate PCF = (P ₁ / P ₂ ) N ₁ and L ₁ / L ₂ = (P ₁ / P ₂ ) ^N ₁ (L ₁ : Leakage at pressure P ₁ , L ₂ : leakage (leakage) in _{P 2, N 1: 0.5≤N 1} ≤2.5), the second way is to estimate PCF = leakage Index / 35.5, leakage Index = 0.5 × AZNP + (0.0042 × AZNP 2). 13 is a diagram for explaining an example of the relationship between AZNP and PCF.

That is, the oil-flow rate calculation unit 106 estimates the amount of water leakage using the pressure data at the time of estimating the amount of water leakage.

In order to calculate the network state factor (ICF) for a water network in a district, it is practically impossible to check the degree of corrosion of the whole water network in the zone, the strength of the pipe and the connection state of the pipe. Accordingly, in the present invention, the network state factor (ICF) is calculated in the monthly flow rate / leakage analysis module and applied to the pressure-based leak amount estimation module to provide objective basic data for continuous monitoring and analysis of the water pipe network.

The embodiments described above may be implemented in hardware components, software components, and / or a combination of hardware components and software components. For example, the devices, methods, and components described in the embodiments may be implemented within a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate Such as an array, a programmable logic unit (PLU), a 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 ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations, such as a parallel processor, are also possible. The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired, or to process it collectively or independently Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command 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, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROMs and DVD; and optical media such as ROM, RAM, And a hardware device specifically configured to store and execute program instructions such as flash memory and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code 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.

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. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced. Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

10: Waterworks pipe network management system 104:
100: Waterworks network management server 105:
200: the customer meter reading amount data collection server 106:
300: supply amount data collection server 107: supply water geographic data management part
400: pressure data collection server 108: water supply geographic data correction unit
500: Water supply pipe geographical data collection server 109: Supply amount measurement sensor dead zone ratio calculation unit
600: Database 110: Obtaining the dead-end ratio of the pressure measurement sensor
101: water meter reading data management unit 111:
102: water supply amount data management unit 310: supply amount measurement sensor
103: water supply pressure data management unit 320: pipe pressure measurement sensor

Claims (19)

A method for managing a water supply network of a water supply network management server,
Receiving supply amount data from the supply amount measuring sensor;
Receiving the customer meter reading data input by the meter reading source from the customer meter reading data collecting server;
Classifying the type of the received acceptance meter amount data;
Correcting the received acceptance meter amount data so as to match a predetermined analysis period according to the classified type;
Estimating a flow rate of water using the calibrated customer meter-reading amount data and the received supply amount data,
The step of calibrating the customer meter reading data
If the received meter-amount data is classified as the first type,
month supply amount data a3, the n + 1 month acceptance amount measurement data a4, and the nodal supply amount data a5, the n-1 month supply amount data a1, the n-1 month supply amount data a2, And the late-ninety-day supply amount data (a6); And
(a1 * a3 / a2) + (a4 * a6 / a5) of the nth month acceptance meter measurement data correction value ac,
If the received meter-amount data is classified as the second type,
month supply amount data b4, n + 1 month supply amount data b5, and n-1 month supply amount data b2, Confirming the first-month supply amount data b6; And
(b1 * b3 / b2) - (b4 * b6 / b5) of the nth month reception meter measurement data correction value bc,
If the received meter-amount data is classified as the third type,
(c1), n month supply amount data (c2), supply amount data c31 to c3m from n 1 to m days, n month reception amount measurement data c 4, n + 1 month The supply amount data c5 and the supply amount data a61 to c6m of n + 1 month 1 to m days); And
(cc) of the meter reading data of the month

, ≪ / RTI >
After receiving the customer meter reading data,
Receiving supply geographic data from a supply water geographic data collection server, the supply water geographic data including map data showing a water supply list and a boundary line indicating a position and a block of each water supply pipe;
Determining whether a water supply pipe list included in the customer inspection amount data matches a water supply pipe list of the received water supply pipe geographical data;
Determining that the received supply pipe geographical data is usable geographical data when it is determined that the data match; And
Further comprising the step of correcting the received supply pipe geographical data so as to include the supply pipe list included in the customer survey amount data and determining the corrected supply pipe geographical data as the usage geographical data when it is determined that the received supply pipe geographical data does not match,
Wherein the boundary line is modified or added so that the received water supply pipe data list includes the water supply meter data when the received supply pipe geographic data is corrected. The method according to claim 1,
Wherein the supply amount data is instantaneous flow amount data or accumulated amount data. delete delete delete The method according to claim 1,
After receiving the collected supply amount data,
Determining whether the received supply amount data is below a threshold value;
Calculating supply amount data below a threshold value as a valid value and excluded supply amount data that is more than a threshold value from a valid value;
Calculating a supply amount data fingerprint with the calculated effective value; And
Calculating a dead rate of the supply amount measuring sensor;
Further comprising:
The step of calibrating the customer meter reading data
Using the calculated supply amount data fingerprint and the calculated rejection rate of the supply amount measuring sensor to correct the received acceptance amount of measurement data so as to coincide with the predetermined analysis period according to the classified type, Network management method. A method for managing a water supply network of a water supply network management server,
Receiving the pressure data from the pressure measurement sensor;
Receiving the customer meter reading data input by the meter reading source from the customer meter reading data collecting server;
Classifying the type of the received acceptance meter amount data;
Correcting the received acceptance meter amount data so as to match the predetermined analysis period according to the classified type; And
Estimating a flow rate of water using the calibrated customer meter reading data and the received tank pressure data,
The step of calibrating the customer meter reading data
If the received meter-amount data is classified as the first type,
(n = 1), the n-1 month monthly pipe pressure data (a3), the n + 1 month customer acceptance amount data (a4), and the n month pipe pressure data (a5) And end-of-month oil pressure data (a6); And
(a1 * a3 / a2) + (a4 * a6 / a5) of the nth month acceptance meter measurement data correction value ac,
If the received meter-amount data is classified as the second type,
(b4), n + 1 month monthly pipe pressure data (b5), and n (n + 1) monthly pipe pressure data (b1) Confirming the gas pressure data b6 at the beginning of the first month; And
(b1 * b3 / b2) - (b4 * b6 / b5) of the nth month reception meter measurement data correction value bc,
If the received meter-amount data is classified as the third type,
(c1), n month monthly pressure data (c2), n monthly water pressure data (c31 to c3m) from month 1 to day m, n month water meter data c4, (C5) and (n + 1) month-1 to m-day of the pressure data (a61 to c6m)); And
(cc) of the meter reading data of the month

, ≪ / RTI >
After receiving the customer meter reading data,
Receiving supply geographic data from a supply water geographic data collection server, the supply water geographic data including map data showing a water supply list and a boundary line indicating a position and a block of each water supply pipe;
Determining whether a water supply pipe list included in the customer inspection amount data matches a water supply pipe list of the received water supply pipe geographical data;
Determining that the received supply pipe geographical data is usable geographical data when it is determined that the data match; And
Further comprising the step of correcting the received supply pipe geographical data so as to include the supply pipe list included in the customer survey amount data and determining the corrected supply pipe geographical data as the usage geographical data when it is determined that the received supply pipe geographical data does not match,
Wherein the boundary line is modified or added so that the received water supply pipe data list includes the water supply meter data when the received supply pipe geographic data is corrected. delete delete delete 8. The method of claim 7,
After receiving the collected pressure data,
Determining whether the received pressure data is below a threshold value;
Calculating the validity value of the atmospheric pressure data that is equal to or less than the threshold value;
Calculating a pressure data fingerprint with the calculated effective value; And
Calculating a dead rate of the pressure measurement sensor;
Further comprising:
The step of calibrating the customer meter reading data
Wherein the step of calibrating the received water meter data is such that the received water meter data is corrected to match the predetermined analysis period according to the classified data using the estimated pressure data fingerprint and the calculated dead rate. delete A water supply amount data management unit that receives supply amount data from at least one supply amount measurement sensor;
An acceptor meter reading data management unit for receiving the customer meter reading data input by the meter reading source from the customer meter reading data collecting server;
An acceptor measurement type data classifier for classifying the received acceptance inspection amount data type;
An acceptance amount-of-metric data correcting unit for correcting the received acceptance amount-of-measurement data so as to match the predetermined analysis period according to the classified type;
A yield rate calculating unit for calculating a yield rate using the corrected customer meter reading data and the received supply amount data;
A water supply pipe geographical data management unit receiving water supply pipe geographical data including map data showing a water supply pipe list and a boundary line indicating a location and a block of each water supply pipe from a water supply pipe geographical data collection server; And
Determining whether or not the received water supply pipe list matches the water supply pipe list included in the acceptance meter measurement data and the water supply pipe list of the received water supply pipe geographical data and determining the received supply pipe geographical data as used geographical data, And a supply water geographic data correcting unit for correcting the received supply water geographic data so that the supply water pipe list included in the customer survey amount data is included and fixing the corrected water supply pipe geographical data as used geographical data, ,
The customer meter reading data correction unit
N-1 month supply amount data a2, n-1 month supply amount data a1, n-1 month supply amount data a2, and n-1 month supply amount data a2, when it is judged that the received acceptance amount- Month supply amount data a3, the n + 1 month acceptance amount inspection amount data a4, the noun supply amount data a5 and the nonday month supply amount data a6, ) Is calculated as a1- (a1 * a3 / a2) + (a4 * a6 / a5)
Month acceptance amount measurement data b1, the n-month supply amount data b2, and the n-th month acceptance amount data b1, Month supply amount data b4 and the n + 1 month supply amount data b6 are checked, and the month month receipt inspection amount correction value bc ) Is calculated as b1 + (b1 * b3 / b2) - (b4 * b6 / b5)
(C1), the n-month supply amount data (c2), and the n-1 month acceptance amount data type data The supply amount data c31 to c3m for days m to n3, the customer acceptance amount data c4 for n month, the supply amount data c5 for the n + 1 month, and the supply amount data a61 to c6m ) And confirms the nth month customer meter reading data correction value (cc)

Respectively,
Wherein the water supply pipe geographical data correction unit changes or adds the boundary line so that the water supply pipe list included in the customer's measurement amount data is included in the received water pipe geographic data correction. 14. The method of claim 13,
Further comprising: a water supply pressure data management unit for receiving pressure data from at least one pressure measurement sensor. delete The method according to claim 13 or 14,
Anhydrous water acidifying unit for calculating anhydrous water;
A supply amount measuring sensor dead-rate calculating unit for calculating a dead-rate of the supply amount measuring sensor; And
And a pipe pressure measuring sensor dead-rate calculating unit for calculating a dead-rate of the pipe pressure measuring sensor,
The flow rate calculation unit
And calculating the oil yield by using the calibrated customer meter reading data, the received supply quantity data, the calculated anhydrous water quantity, and the supply amount sensor sticking ratio, or by using the calibrated customer meter reading data, the received tank pressure data, Wherein the water rate is calculated using the water quantity and the pipe pressure measurement sensor dead rate. delete 15. The method of claim 14,
The customer meter reading data correction unit
1 month wall pressure data a2 and n-1 month wall pressure data a1, n-1 month wall pressure data a2, and n-1 month water pressure data a1, when it is judged that the received meter- Month tank pressure measurement data a4, n month tank pressure data a5 and late-nineteenth tank pressure data a6 are checked, and the nth month customer meter-measurement data correction value ac ) Is calculated as a1- (a1 * a3 / a2) + (a4 * a6 / a5)
(B1), the nth month pressure data (b2), the nth month pressure data (b2), and the nth month water pressure data (b2), if the received acceptance meter amount data is judged to be classified as the second type Month tank water metering data b4, n + 1 month tank pressure data b5 and n + 1 month old tank pressure data b6 are checked and the nth month customer meterage data correction value bc ) Is calculated as b1 + (b1 * b3 / b2) - (b4 * b6 / b5)
(C1), n month pressure data (c2), and n month (1) month data, if the received acceptance meter amount data is judged to be classified into the third type 1 month to 1 day to m day of the pressure data a61 to c6m of the n + 1 month and the n + 1 month of the tank pressure data c31 to c3m, ) And confirms the nth month customer's measurement data correction value (cc)

And the water distribution network management server calculates the water distribution network management server. A customer meter reading data collection server for collecting meter reading data input from a meter reading source;
A supply amount data collection server for collecting supply amount data measured by at least one supply amount measuring sensor; And
A supply amount data management unit for receiving supply amount data from the supply amount measurement sensor, a reception amount measurement amount data management unit for receiving reception amount measurement amount data inputted by the inspection amount source from the reception amount measurement amount data collection server, An acceptance meter reading data amount correcting unit for correcting the received acceptance meter reading data so as to match a predetermined analysis period according to the classified type, And a water supply rate calculation unit for calculating a water flow rate using the received supply amount data,
The water supply network management server
A water supply pipe geographical data management unit receiving water supply pipe geographical data including map data showing a water supply pipe list and a boundary line indicating a location and a block of each water supply pipe from a water supply pipe geographical data collection server; And
Determining whether or not the received water supply pipe list matches the water supply pipe list included in the acceptance meter measurement data and the water supply pipe list of the received water supply pipe geographical data and determining the received supply pipe geographical data as used geographical data, And a supply water geographic data correction unit for correcting the received supply water geographic data to include the supply water pipe list included in the customer inspection amount data and fixing the corrected supply water pipe geographic data as used geographic data and,
The customer meter reading data correction unit
N-1 month supply amount data a2, n-1 month supply amount data a1, n-1 month supply amount data a2, and n-1 month supply amount data a2, when it is judged that the received acceptance amount- Month supply amount data a3, the n + 1 month acceptance amount inspection amount data a4, the noun supply amount data a5 and the nonday month supply amount data a6, ) Is calculated as a1- (a1 * a3 / a2) + (a4 * a6 / a5)
Month acceptance amount measurement data b1, the n-month supply amount data b2, and the n-th month acceptance amount data b1, Month supply amount data b4 and the n + 1 month supply amount data b6 are checked, and the month month receipt inspection amount correction value bc ) Is calculated as b1 + (b1 * b3 / b2) - (b4 * b6 / b5)
(C1), the n-month supply amount data (c2), and the n-1 month acceptance amount data type data The supply amount data c31 to c3m for days m to n3, the customer acceptance amount data c4 for n month, the supply amount data c5 for the n + 1 month, and the supply amount data a61 to c6m ) And confirms the nth month customer meter reading data correction value (cc)

Respectively,
Wherein the water supply pipe geographical data correction unit changes or adds a boundary line so as to include a water supply pipe list included in the customer measurement data when the received water supply pipe geographic data is corrected.

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