KR20220127018A - Water leak detection system for a block containing multiple customers - Google Patents

Abstract

An objective of the present invention is to prevent the problem of increased waste of water caused by a water leak by immediately responding to a water leak even if water leaks in the water supply. A water leak detection system for a block including a plurality of customers is implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors, and comprises: a flow data receiving unit receiving generated flow data from a first flow sensor when the first flow sensor measures the accumulated flow of water supplied to the block to generate the flow data based on the measured accumulated flow of water; a usage data receiving unit receiving usage data from remote readers installed in the plurality of customers when the remote readers generate the usage data based on the usage of water used by the plurality of customers and measured by water meters; a preprocessing data conversion unit normalizing time intervals of the received flow data and the usage data to convert the flow data and the usage data into preprocessing data of an analyzable form; a data analysis unit starting an analysis process on the preprocessing data through a plurality of previously stored algorithms when a predesignated trigger is generated from the outside; and a result output unit outputting result data based on determination results through an output means when whether water leaks for the block is determined based on results of the analysis process started by the data analysis unit. Various other embodiments identified through the present invention are possible.

Description

WATER LEAK DETECTION SYSTEM FOR A BLOCK CONTAINING MULTIPLE CUSTOMERS

The present invention relates to a water supply leak detection system for a block including a plurality of consumers, and more specifically, data (flow data and usage data) measured in real time by a sensor is received from an external server, and based on the received data It relates to a technology for detecting water leaks in blocks in real time. In addition, since the time interval of the received data is normalized and the analysis process is carried out, the time of occurrence of water leakage and the point of occurrence of water leakage are accurately identified, thereby promptly responding to leakage and reducing water waste to a minimum. It's about technology.

Unlike the 1970s when the water supply penetration rate was 6%, the current water supply penetration rate in Korea is 99.3%, boasting a high penetration rate. However, unlike this penetration rate, water supply maintenance technology is insufficient compared to other developed countries, resulting in annual leakage of 613 billion won. In particular, most of the causes of leaks are caused by defects in pipelines. In general, the determination of whether a leak occurs is based on the flow rate and the leak rate. If a customer detects a leak and reports a leak, a significant amount of water is already leaking, and the waterworks repairer identifies the leak point. There was a problem that it took a long time to respond to the leak. Accordingly, various technologies are being developed for checking whether water supply is leaking in real time.

As an example, Korean Patent Application Laid-Open No. 10-2004-0072327 (Leakage blocking and flow rate wireless meter reading system and control method thereof) detects a water leak in a water supply pipe based on meter reading data of a flow meter, and prevents the detected water leak. A technique for remotely controlling a valve in a tube is disclosed.

However, in the prior art described above, when a water leak is simply detected, the water supply valve is closed, and it is not possible to obtain the water flow rate and the water leak rate for a block including a plurality of consumers, and when a leak occurs, the exact leak point and leak A technology for identifying a range has not been disclosed, and the need for a technology capable of solving the problem is emerging.

Accordingly, the present invention obtains the water flow rate and leak rate for each or block of a plurality of consumers through a water supply leak detection system for a block including a plurality of consumers, and based on the obtained water flow rate and leak rate, the exact time of leakage, Since it is possible to identify the leak point and the leak range in real time, the purpose is to prevent the problem of increasing water wastage due to the leak by responding immediately even if a leak occurs in the water supply.

In the water supply leak detection system for a block including a plurality of receivers implemented as a computing device including one or more processors and one or more memories for storing instructions executable by the processor, the first flow sensor is supplied to the block a flow rate data receiving unit configured to receive the generated flow data from the first flow sensor when measuring the integrated flow rate of water and generating flow data based on the measured integrated flow rate of water; a usage data receiving unit configured to receive the usage data from the remote meter reader when a remote meter reader installed in each of the plurality of consumers generates usage data based on the amount of water used by each of the plurality of consumers measured by a water meter; a pre-processing data conversion unit that normalizes the time interval between the received flow data and the usage data, and converts the flow data and the usage data into pre-processing data in a form that can be analyzed; a data analysis unit that starts an analysis process for the pre-processed data through a plurality of pre-stored algorithms when a predetermined trigger is generated from the outside; and a result output unit for outputting the result data based on the determination result through an output means when determining whether the water supply is leaking for the block based on the result of the analysis process started by the data analysis unit characterized.

The usage data receiving unit may include, when it is impossible to receive the usage data from the remote meter reader and the meter reader visits each of the plurality of consumers and inputs the checked water usage to the fee server, the fee data generated based on the input water usage is preferably received from the fee server.

The fee data is generated based on a fee table pre-stored in the fee server and the input water usage when the usage of water confirmed by the meter reading source is input to the fee server, wherein the pre-processing data conversion unit includes: When the usage data receiving unit receives the fee data from the fee server, it is possible to reflect the fee data when generating the pre-processing data.

The pre-processing data conversion unit is included in the flow rate information and the usage data included in the flow rate data based on at least one time included in the time interval in a state in which the time intervals of the flow data and the usage data are normalized. an information matching unit for matching the used usage information; and when the flow rate information and the usage information are matched by the information matching unit, the flow rate information that does not match the usage information is determined as additionally added flow rate information, and the flow rate for filtering the additionally added flow rate information It is preferable to include a filtering unit.

The pre-stored trigger may include the lapse of a specified time, a request for an analysis result received from the outside, and acquisition of new pre-processing data.

The data analysis unit, when the predetermined trigger occurs, confirms the supply amount of water supplied to the block based on the flow rate information, and checks the amount of water used by each of the plurality of consumers based on the usage information confirmation unit; and a capacity calculation unit configured to calculate at least one of a water flow rate and a water leakage rate based on the water supply amount and the water usage amount when the confirmation of the water supply amount and the water usage amount is completed by the capacity confirmation unit; do.

The data analysis unit, when determining that a leak has occurred in the water supply based on the calculated leak rate, detects a singularity from the pre-processed data through a plurality of pre-stored algorithms, and the occurrence time and occurrence of the leak in the water supply It is possible to check the points.

The data analysis unit, when the amount of data of the pre-processing data is less than the amount of analysis reference data required for the analysis process, analyzes the pre-processing data required for the analysis process through the plurality of pre-stored algorithms to obtain the pre-processing data required for the analysis process It is preferable to output the result through the output unit.

When the data analysis unit starts the analysis process for the pre-processing data, it is preferable that the plurality of pre-stored algorithms are updated by analyzing the correlation with respect to the pre-processing data according to the time sequence.

The flow data receiving unit, when the second flow sensor installed in each of the plurality of consumers measures the integrated flow rate of water supplied to each of the plurality of consumers, and generates customer flow data based on the measured integrated flow rate of water, the first 2 It is preferable to receive the generated consumer flow data from a flow sensor.

The water supply leak detection system for a block including a plurality of consumers of the present invention converts the flow data received from the first flow sensor and the usage data received from the remote meter reader into pre-processing data, and an analysis processor for the converted pre-processing data By proceeding, it is possible to reduce the damage caused by water leakage to a minimum by detecting whether water supply leaks to the block in real time.

In addition, the fee server generates fee data based on the water usage information and fee table input by the meter reader and transmits it to the water supply leak detection system for a block including a plurality of consumers, so that the system collects the usage data from the remote meter reader Even if it is not received, it is possible to determine whether the water supply for the block is leaking through the rate data.

In addition, the water supply leak detection system for a block including a plurality of consumers can accurately identify the leakage point when a leak occurs by performing an analysis process through preprocessing data with normalized time intervals.

In addition, the water supply leak detection system for a block including a plurality of consumers detects a singularity from the pre-processing data through a plurality of pre-stored algorithms when the leak rate is calculated through the pre-processing data, and leakage occurs based on the detected singularity point can be accurately identified.

In addition, the water supply leak detection system for a block including a plurality of consumers analyzes the pre-processing data required for the analysis process through a plurality of pre-stored algorithms, and searches for the pre-processing data required for the analysis process. It can be received from outside.

In addition, the water supply leak detection system for a block including a plurality of consumers receives the accumulated flow information supplied to each of the plurality of consumers from the second flow sensor installed in each of the plurality of consumers, so that not only the block unit but also the details for each of the consumers It is possible to determine whether there is a leak or not.

1 is a block diagram for explaining a water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.
2 is a view for explaining the usage data receiving unit of the water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.
3 is a view for explaining a pre-processing data conversion unit of the water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.
4 is a view for explaining the result screen of the analysis process of the water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.
5 is another view for explaining the result screen of the analysis process of the water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.
6 is a view for explaining a result screen for a plurality of consumers analyzed through the water supply leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.
7 is a view for explaining an analysis process performed through a water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.
8 is a diagram for explaining an example of an internal configuration of a computing device according to an embodiment of the present invention.

Hereinafter, various embodiments and/or aspects are disclosed with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of one or more aspects. However, it will also be recognized by one of ordinary skill in the art that such aspect(s) may be practiced without these specific details. The following description and accompanying drawings set forth in detail certain illustrative aspects of one or more aspects. These aspects are illustrative, however, and some of the various methods in principles of various aspects may be employed, and the descriptions set forth are intended to include all such aspects and their equivalents.

As used herein, “embodiment”, “example”, “aspect”, “exemplary”, etc. may not be construed as an advantage or advantage in any aspect or design described above over other aspects or designs. .

Also, the terms "comprises" and/or "comprising" mean that the feature and/or element is present, but excludes the presence or addition of one or more other features, elements and/or groups thereof. should be understood as not

Also, terms including an ordinal number such as 1st, 2nd, etc. may be used to describe various components, but the components are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

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

1 is a block diagram for explaining a water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.

Referring to FIG. 1 , the water supply leak detection system 100 for a block including a consumer includes a flow data receiving unit 111 , a usage data receiving unit 113 , a pre-processing data converting unit 115 , a data analyzing unit 117 and A result output unit 119 may be included.

According to an embodiment, the flow data receiving unit 111, when the first flow sensor 130 measures the integrated flow rate of water supplied to the block, and generates flow data based on the measured integrated flow rate, the first The flow rate data may be received from the flow rate sensor 130 . The first flow rate sensor 130 may be interlocked with the flow data receiving unit 111 and may be interlocked with a separate flow rate collection server. The flow rate collection server may be a server that manages data acquired by the first flow rate sensor 130 . The integrated flow rate may mean the total amount of water supplied to the block.

According to one embodiment, the flow data receiving unit 111 is a second flow sensor installed in each of the plurality of consumers to measure the integrated flow rate of water supplied to each of the plurality of consumers, the customer based on the measured integrated flow rate of water When generating flow data, the customer flow data may be received from the second flow sensor.

According to an embodiment, the usage data receiving unit 113 generates usage data by the remote meter reader 150 installed in each of the plurality of consumers based on the amount of water used by each of the plurality of consumers measured by a water meter. In this case, the usage data may be received from the remote meter reader 150 . Also, the remote meter reader 150 may be in a state of being linked with a remote meter reading collection server. The usage data receiving unit 113 may receive the usage data from the remote meter reading collection server. The remote meter reading collection server may be a server managing the usage data.

According to an embodiment, when the usage data receiving unit 113 cannot receive the usage data from the remote meter reader 150, the meter reader visits each of the plurality of consumers and inputs the checked water usage to the fee server, Charge data may be received from the charge server. When the water usage information used by each of the plurality of consumers is input by the meter reading source, the fee server may generate fee data based on a pre-stored fee table and water usage information.

According to an embodiment, the pre-processing data conversion unit 115 normalizes the time interval between the received flow data and the usage data to analyze the flow data and the usage data. preprocessed data).

According to an embodiment, the pre-processing data conversion unit 115 may include an information matching unit (not shown) and a flow rate filtering unit (not shown). The information matching unit in a state in which the time interval of the flow data and the usage data is normalized, the flow rate information included in the flow rate data and the usage amount included in the usage data based on at least one time included in the time interval information can be matched. The flow rate information may mean an integrated flow rate measured at any one time selected as the reference. The usage information may mean usage of water used in a plurality of consumers measured at any one time selected as the reference.

For example, the information matching unit may match the flow rate information of the flow data acquired at 13:30 and the usage information of the usage data acquired at 13:30 to generate the pre-processing data. That is, the information matching unit may match the flow rate information of the flow data acquired at the same time and the usage information of the usage data.

According to one embodiment, when the flow rate information and the usage information are matched by the information matching unit, the flow rate filtering unit determines the flow rate information that does not match the usage information as the additionally added flow rate information. Flow information can be filtered. In more detail, flow data that cannot be increased over time, such as integrated flow, and data that cannot be acquired due to the specification of the first flow sensor and the situation of the water supply (eg, failure of hydraulic equipment) If the flow rate information included in the data in the case of exceeding or less than the value) does not match the usage information, it may be filtered.

According to an embodiment, when the usage data receiving unit 113 receives the fee data from the fee server, the pre-processing data conversion unit 115 may generate the pre-processing data by reflecting the fee data when generating the pre-processing data. That is, the preprocessing data conversion unit 115 receives the fee data from the fee server through the usage data receiving unit 113 even if it fails to receive the usage data from the remote meter reader 150 , thereby preprocessing necessary for the analysis process. data can be generated.

According to an embodiment, the pre-processing data conversion unit 115 may also receive a rate table pre-stored in the rate server when receiving the rate data from the rate server through the usage data receiving unit 113 . The pre-processing data conversion unit 115 may convert the flow rate information included in the flow rate data into reference rate data based on the pre-stored rate table. The pre-processing data conversion unit 115 may convert the rate data and the reference rate data into pre-processing data related to rates (eg, second data). In this case, the pre-processing data conversion unit 115 may normalize a time interval between the received rate data and the reference rate data. That is, based on one of the times included in the time interval, the rate information (information included in the rate data) and the reference rate information (information included in the reference rate data) of the time that became the standard match the information. It can be matched by wealth.

According to one embodiment, the pre-processing data conversion unit 115, when the flow data receiving unit 111 receives the consumer flow data from the first flow sensor 130, the received consumer flow data and the usage amount By normalizing the time interval of the data, it can be converted into preprocessed data for each of a plurality of consumers.

According to an embodiment, when a pre-stored trigger occurs from the outside, the data analysis unit 117 may start an analysis process for the pre-processed data through a plurality of pre-stored algorithms. The pre-stored trigger may include the lapse of a specified time, a request for an analysis result received from the outside, and acquisition of new pre-processing data. For example, when the designated time is 14:00, the data analysis unit 117 may start the analysis process when 14:00 has elapsed. The analysis process may be a process of confirming a water flow rate and a leak rate for the block through the pre-processing data, and may be a process of determining whether water supply is leaking for the block.

According to an embodiment, the data analysis unit 117 may include a capacity check unit (not shown) and a capacity calculator (not shown). When the predetermined trigger occurs, the capacity check unit may check the amount of water supplied to the block based on the flow rate information included in the pre-processing data. When the predetermined trigger occurs, the capacity check unit may check the amount of water used by each of the plurality of consumers based on the usage information included in the pre-processing data. The system 100 may check the total amount of water used by the block through the amount of water used by the capacity check unit.

For example, the capacity check unit confirms the flow rate information and the usage data usage information of the flow data measured at 16:00 through the pre-processing data, You can check the amount of water used. The system 100 may check the total amount of water used at 16:00 based on the confirmed water usage.

According to an embodiment, the capacity calculation unit can calculate at least one of the flow rate and the leakage rate based on the integrated flow rate of water (eg, water supply) and the amount of water used (eg, water supply) confirmed by the capacity confirmation unit. have. The flow rate is expressed as a percentage (%) obtained by dividing the accumulated flow rate of water (eg, water flow rate) by the amount of water used (eg, water supply amount). It may mean the ratio of the quantity accepted as fee income among the total number of transmissions. The water leakage rate is a rate not included in the water flow rate, and may mean a rate of water leaking into the ground due to defects in pipelines, etc.

According to an embodiment, the capacity calculator may calculate at least one of a water flow rate and a water leakage rate based on rate information and reference rate information included in the second preprocessing data. For example, if the standard rate corresponding to the standard rate information is 10,0000 won, if the rate corresponding to the rate information is confirmed as 10,0000 won, it can be determined that the water flow rate is 100% and the leakage rate is 0%. have. As another example, when the fee is 90,000 won, it may be determined that the water flow rate is 90% and the water leak rate is 10%.

According to an embodiment, the data analysis unit 117 may calculate at least one of the water flow rate and the water leakage rate through the capacity calculation unit, and when the leakage rate is 1% or more, it may be determined that water leakage has occurred. For example, the data analysis unit 117 may calculate a flow rate of 97% and a leak rate of 3% when the confirmed accumulated flow rate of water is 100,000L and the confirmed water usage amount is 97,000L. When the data analysis unit 117 calculates the leak rate of 3%, it may be determined that the water leak has occurred in the water supply.

According to an embodiment, when it is determined that the leak has occurred, the data analysis unit 117 may detect a singularity from the pre-processed data through a plurality of pre-stored algorithms. The plurality of pre-stored algorithms may be algorithms for analyzing the pre-processing data through at least one of a regression analysis, a moving average analysis, a trend analysis, and a change rate analysis on the pre-processing data. In addition, the data analyzer 117 may detect a singularity point using a plurality of pre-stored algorithms in the pre-processing data (eg, the first pre-processing data) as well as the second pre-processing data.

According to an embodiment, the data analysis unit 117 may determine the occurrence time and occurrence point of the leak occurring in the water supply based on the detected singularity. For example, when performing the analysis process through the regression analysis, the data analysis unit 117 implements a model between the flow data and usage data included in the pre-processing data in a three-dimensional space, and then measures the fit. have. Based on the singularity detected in the measured fit of the data analysis unit 117, the leakage point (eg, leakage occurs at 16:30) and the occurrence point (eg, leakage occurs in block B) in the water supply )can confirm.

According to one embodiment, the data analysis unit 117 is based on the pre-processing data for each of the plurality of consumers converted by the pre-processing data conversion unit 115, whether or not water leaks to the plurality of consumers included in the block can be judged In addition, the data analysis unit 117 may analyze the pre-processing data for each of the plurality of consumers through a plurality of pre-stored algorithms to determine the leakage point and the leakage point.

According to an embodiment, when the data analysis unit 117 performs the analysis process, when the amount of data of the pre-processing data is less than the analysis reference data amount required for the analysis process, the data analysis unit 117 performs the analysis process through a plurality of pre-stored algorithms. The necessary preprocessing data can be analyzed. For example, when the data analysis unit 117 performs the analysis process through the plurality of pre-stored algorithms, if there is no data required for analysis in the pre-processing data, the amount of data of the pre-processing data is the analysis reference data can be considered to be less than the amount. When the data amount of the pre-processing data required for the analysis process is less than the analysis reference data amount, the data analysis unit 117 may request or announce the pre-processing data required for the analysis process to the outside through the result output unit 119 .

According to an embodiment, when starting the analysis process, the data analysis unit 117 may update the plurality of pre-stored algorithms by analyzing correlations with respect to the preprocessed data according to time sequence. In more detail, the data analysis unit 117 may update the plurality of pre-stored algorithms by analyzing the correlation between the flow rate data and the usage data for which the time interval is normalized. The relation may be a relation based on a time criterion, a minimum value criterion, a maximum value criterion, and an average value criterion. That is, the data analysis unit 117 may update the plurality of pre-stored algorithms by analyzing the correlation since the correlation may be different for each different criterion.

According to another embodiment, the data analysis unit 117, the system 100, flow data that cannot increase with time, such as the integrated flow rate, the specification of the first flow sensor, and the water supply When data that cannot be acquired due to a situation (eg, a failure of a hydraulic device) is acquired, the data may be determined as abnormal data.

According to another embodiment, when the abnormal data is obtained, the data analysis unit 117 may determine whether the block is leaking through the degree of change in water pressure based on the hydraulic pressure data at the time of occurrence of the abnormal data. . The water pressure data is data acquired by the water pressure sensor, which is installed in each partial area of the block including the plurality of consumers, and can measure the pressure of water moving in the block in real time and transmit it to the system 100 . . For example, when acquiring the abnormal data, the data analysis unit 117 may acquire hydraulic pressure data within a specified period including an abnormal data acquisition time through the hydraulic pressure sensor. The data analysis unit 117 may determine that a water leak has occurred when it is confirmed that the water pressure at the time of acquiring the abnormal data is lowered by checking the obtained water pressure data based on the time sequence.

According to another embodiment, the data analysis unit 117 may check the minimum flow rate at night and the background leakage amount through the pre-processing data. The minimum flow rate at night means the amount of water supplied at the smallest time (in units of one hour) out of 24 hours, and the amount of R used by the consumer at the time of the minimum flow rate at night is minimized, so that the majority of the supply is water leakage. However, this amount of leakage can be understood as the amount of background leakage. The data analysis unit 117 may obtain a background leakage amount by subtracting the amount of water used at the time of generation of the minimum flow by the consumer from the minimum flow rate at night confirmed through the pre-processing data. The data analysis unit 117 may predict the daily leakage amount by multiplying the background leakage amount by 24 hours.

According to another embodiment, the data analysis unit 117 may predict a change in the leakage rate by analyzing the water flow rate through regression analysis and statistical analysis. The data analysis unit 117 may check the water flow rate within a specified period through regression analysis, and when the linear angle of the water flow rate is changed, micro-leakage may occur and a result that the water-leakage rate will increase in the long term may be obtained. The data analysis unit 117 checks the water flow rate, the minimum night flow rate, and the background leakage level within a specified period through statistical analysis by day or hour to confirm that the water leakage rate is increasing in the long term if it is worse than the previously confirmed value can

According to an embodiment, the result output unit 119 may determine whether the water supply for the block is leaking based on the result of the analysis process started by the data analysis unit 117 . The result output unit 119 may output result data based on the determination result through an output unit. For example, the result output unit 119 may output the result data to a user account or an administrator account connected to the system 100 . The manager account may be an account managing the system 100 , and the user account may be an account managed by each of a plurality of customers registered in the system 100 .

According to another embodiment, the result output unit 119 may request engineering information about the leak from the manager account while outputting the result data to the user account and the manager account. The engineering information may be used as information for determining whether to take responsibility for the leak. For example, if a water leak occurs between an upstairs household and a downstairs household in an apartment, it can be difficult for the general public to determine which household is responsible for the leak. Accordingly, in order to clarify responsibility for the leak, the administrator account may provide engineering information about the leak to the system 100 through the result data.

According to another embodiment, the result output unit 119 may provide a separate legal dispute service while providing engineering information about the leak to the user account. The separate legal dispute service may be a service that brokers a lawyer account subscribed to the system 100 to the user account or provides pre-registered case information.

2 is a view for explaining the usage data receiving unit of the water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.

Referring to FIG. 2 , the usage data receiving unit 201 (eg, the usage data receiving unit 113 of FIG. 1 ) is based on the amount of water used by each of a plurality of consumers measured by a water meter (eg, the amount of water supplied). , when a remote meter reader installed in each of the plurality of consumers generates usage data, the usage data may be received from the remote meter reader. However, the usage data receiver 201 may not receive the usage data from the remote meter reader due to terrain and environmental characteristics.

As described above, when the usage data receiving unit 201 fails to receive the usage data from the remote meter reader, the meter reader should directly visit the plurality of consumers and check the meter readers installed in each of the plurality of consumers. The meter reading person may visit the consumer and input the amount of water used in the fee server 203 . The fee server 203 may generate fee data based on the water usage information input to the meter reading source and a pre-stored fee table.

According to an embodiment, the fee server 203 may transmit the generated fee data to the usage data receiver 201 . The usage data receiving unit 201 may transmit the received charge data to a pre-processing data converting unit (eg, the pre-processing data converting unit 115 of FIG. 1 ).

That is, even if the usage data receiving unit 201 does not receive the usage data from the remote meter reader, it can receive the fee data through the fee server 203, so that the water supply for the block including the plurality of consumers The leak detection system (eg, the water supply leak detection system 100 for a block including a plurality of consumers in FIG. 1) calculates the water flow rate and the water leak rate, and if a leak occurs, the leakage point and the leakage point are identified can do it

3 is a view for explaining a pre-processing data conversion unit of the water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.

Referring to FIG. 3 , the pre-processing data converting unit 300 (eg, the pre-processing data converting unit 115 of FIG. 1 ) includes a flow data receiving unit (eg, the flow data receiving unit 111 of FIG. 1 ) of the first flow rate. The flow data received from the sensor (eg, the first flow sensor 130 of FIG. 1 ) and the usage data receiving unit (eg, the usage data receiving unit 113 of FIG. 1 ) receive a remote meter reader (eg, the remote meter reader 150 of FIG. 1 ) ))), can be converted into pre-processing data.

According to an embodiment, the pre-processing data conversion unit 300 may include an information matching unit 301 and a flow rate filtering unit 303 . The information matching unit 301 may normalize a time interval between the flow rate data and the usage data data. In a state in which the time interval between the flow rate data and the usage data is normalized, the information matching unit 301 includes the flow rate information 305 included in the flow rate data based on at least one time included in the time interval and The usage information 307 included in the usage data may be matched. The flow rate information 305 may mean an integrated flow rate measured at any one time selected as the reference. The usage information 307 may mean the usage of water used by a plurality of consumers measured at any one time selected as the reference.

For example, the information matching unit 301 matches the flow rate information 305 of the flow data acquired at 15:00 with the usage information 307 of the usage data acquired at 15:00, and uses it as pre-processing data. can create That is, the information matching unit 301 may match the flow rate information 305 of the flow data acquired at the same time and the usage information 307 of the usage data.

According to an embodiment, the information matching unit 301 includes not only the flow rate information 305 and the usage information 307, but also the rate information included in the rate data acquired at the same time and the standard included in the standard rate data. Charge information can be matched. For a description of the rate data and the reference rate data, refer to FIG. 1 .

According to one embodiment, when the flow rate information 305 and the usage information 307 are matched by the information matching unit 301, the flow rate filtering unit 303 is not matched with the usage information 307. By determining the flow rate information 305 as the additionally added flow rate information, the additionally added flow rate information may be filtered. In more detail, flow data that cannot be increased over time, such as integrated flow, and data that cannot be acquired due to the specification of the first flow sensor and the situation of the water supply (eg, failure of hydraulic equipment) If the flow rate information included in the data in the case of exceeding or less than the value) does not match the usage information, it may be filtered. In the case of acquiring the abnormal data, refer to FIG. 1 for a detailed description of determining whether there is a leak.

According to another embodiment, the pre-processing data conversion unit 300 may convert not only the time interval of the flow data and the usage data, but also data according to the time interval (data acquired over time) into pre-processing data. . For example, when the pre-processing data conversion unit 300 detects the cumulative value of the flow data and usage data (the cumulative value of data (flow data and usage data) acquired over time), the block It can be determined that there is a flow of water moving in Accordingly, the pre-processing data conversion unit 300 may reflect the sensed accumulated value when generating the pre-processing data.

According to another embodiment, the pre-processing data conversion unit 300 reflects the accumulated value in the pre-processing data, and arbitrarily derives the accumulated value through a linear interpolation method, a moving average method, past data statistics, prediction based on learning data, etc. Therefore, it can be reflected when generating pre-processing data.

For example, the pre-processing data conversion unit 300 connects at least two or more numerical values (flow figures or usage figures) according to the passage of time with a single line, and converts arbitrary numerical values (accumulated values) between the connected lines. Accumulated values can be obtained through the derived linear interpolation technique and reflected when generating preprocessed data.

For another example, the pre-processing data conversion unit 300 obtains the average value of each numerical value for each time section, connects each average value to derive a trend line, and moves to derive a random value (cumulative value) through the trend line Accumulated values can be obtained through the averaging technique and reflected when generating preprocessed data.

For another example, the pre-processing data conversion unit 300 may include historical data obtained according to spatial (specific region), seasonal (temperature, weather), temporal (eg, time), and social (eg, weekday, holiday) characteristics. Accumulated values can be obtained through statistical analysis of past data that derives arbitrary values (cumulative values) through statistical values of , and reflected when generating preprocessed data.

As another example, the pre-processing data conversion unit 300 acquires an accumulated value through a learning data-based prediction technique that predicts an arbitrary value (accumulated value) by learning the past data previously obtained through a learning algorithm, It can be reflected when generating preprocessing data.

That is, the pre-processing data conversion unit 300 not only generates pre-processing data based on the passage of time, such as a linear interpolation technique and a moving average technique, but also generates pre-processing data based on historical data statistical analysis techniques and learning data-based prediction techniques. Pre-processing data may be generated by analyzing or learning previously acquired data among data acquired according to the flow. In addition, the above techniques may be used when generating the pre-processing data, and are not used only to reflect the accumulated value in the pre-processing data.

4 is a view for explaining the result screen of the analysis process of the water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.

Referring to FIG. 4 , the result output unit (eg, the result output unit 119 in FIG. 1 ) included in the water supply leak detection system for a block including a plurality of consumers outputs the analysis result for the analysis process through an output means. can be printed out. The output means may be an electronic device in which an administrator account is logged in and an electronic device in which a user account is logged in. The electronic device may include a desktop, a smart phone, a laptop, and the like, but is not limited thereto as long as it can drive the system.

According to an embodiment, the result output unit may output the analysis result screen 401 through the output means. Analysis result information 403 based on the analysis result may be output in the analysis result screen 401 . The analysis result information may include integrated flow information supplied to the block and water usage information used by each of a plurality of consumers, and is not limited thereto as long as it is an analysis result derived by an analysis process. For example, in the analysis result screen 401, 100,000L, which is the accumulated flow rate of water supplied to a block including a plurality of consumers, may be displayed.

According to an embodiment, the result output unit may display the water flow rate information 405 and the water leakage rate information 407 of the corresponding block calculated based on the analysis result information in the analysis result screen 401 . The water flow rate information 405 and the leak rate information 407 are calculated by a data analysis unit (eg, the data analysis unit 111 in FIG. 1 ) included in the water supply leak detection system for a block including a plurality of consumers. It can be a number that is

According to another embodiment, the result output unit may display information on the accumulated flow rate of water supplied to each of a plurality of consumers in the analysis result screen 401 . The integrated flow rate of the water supplied to each of the plurality of accommodators may be measured by a second flow sensor installed in each of the plurality of accommodators. The accumulated flow information of the water supplied to each of the plurality of consumers measured by the second flow sensor is received by the flow data receiving unit (eg, the flow data receiving unit 111 in FIG. 1 ) included in the water supply leak detection system for the block. can That is, the waterworks leak detection system for the block is based on the accumulated flow information of the water supplied to each of the plurality of consumers through the analysis processor and the usage information of each of the plurality of consumers, the water flow rate and the leak rate for each of the plurality of consumers can be calculated In addition, the water supply leak detection system for the block, when a leak occurs for at least one consumer among a plurality of consumers included in the block through the analysis process, it is possible to check the leaked consumer and the leakage point.

5 is another view for explaining the result screen of the analysis process of the water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.

Referring to FIG. 5 , the result output unit (eg, the result output unit 119 in FIG. 1 ) included in the waterworks leak detection system for a block including a plurality of consumers (eg, the result output unit 119 in FIG. 1) provides information on the flow rate for a specific block through an output means. And it is possible to output the leak rate information. The output means 501 may be an electronic device in which an administrator account is logged in and an electronic device in which a user account is logged in. The electronic device may include a desktop, a smart phone, a laptop, and the like, but is not limited thereto as long as it can drive the system.

According to an embodiment, the result output unit may display the numerical value of the water flow rate information and the numerical value of the water leakage rate information in the analysis result screen 503 . At this time, the numerical value of the displayed water flow rate information and the numerical value of the leak rate information may be numerical values for a specific block (eg, block A). In addition, the result output unit may display the numerical value of the specific block as well as the numerical value of the water flow rate information and the numerical value of the leak rate information for each of a plurality of consumers included in the specific block.

According to an embodiment, the result output unit displays the water leak occurrence time information 505 and the water leak occurrence point information 507 while displaying the numerical value of the water flow rate information and the numerical value of the leak rate information in the analysis result screen 401 . can do. The leak occurrence point information 505 and the leak occurrence point information 509 may be information identified by a data analyzer (eg, the data analyzer 117 of FIG. 1 ) included in the system. The leak occurrence time information 505 is information derived by analyzing pre-processing data normalized to time intervals, and may be used to predict leak size information. In addition, the leak occurrence point information 507 may be information derived based on a singularity of pre-processing data analyzed through a pre-stored algorithm, and the leak occurrence point information 507 includes not only a specific block but also a specific block. It may include up to the range of consumers in which the leak has occurred among a plurality of consumers, and may include the location, address, and damage information of the leaked consumer based on the leak size information. The damage information based on the leak scale information may be information indicating how much water the leaked consumer is not using compared to the average amount of water used.

6 is a view for explaining a result screen for a plurality of consumers analyzed through the water supply leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.

Referring to FIG. 6 , a result output unit (eg, the result output unit 119 in FIG. 1 ) included in the water supply leak detection system for a block including a plurality of consumers may include a plurality of units included in a specific block through an output means. It is possible to output the water flow rate information and the water leakage rate information for each customer. The output means may be an electronic device in which an administrator account is logged in and an electronic device in which a user account is logged in. The electronic device may include a desktop, a smart phone, a laptop, and the like, but is not limited thereto as long as it can drive the system.

According to an embodiment, the result output unit may display the analysis result screen 603 through the output means 601 . In the analysis result screen 603 , the integrated flow rate information 603a and the plurality of customer flow rate information 603b supplied to a specific block may be displayed. The plurality of consumers flow rate information 603b may include integrated flow rate information supplied to each of the plurality of consumers and information on the amount of water used by each of the plurality of consumers.

According to an embodiment, when the result output unit displays the integrated flow rate information 603a in the analysis result screen 603 , it may also display measurement time information for which the corresponding integrated flow rate is measured. That is, as the measurement time information is displayed together with the accumulated flow information, a user of an administrator account or a user account can check whether a specific block is leaked by time.

According to an embodiment, the result output unit may display a plurality of customer flow rate information 603b together while displaying the integrated flow rate information 603a in the analysis result screen 603 . The result output unit displays the accumulated flow rate and water usage of each of a plurality of consumers included in the specific block in comparison with the accumulated flow supplied to the specific block at a specific time through the analysis result screen 603, thereby reducing the number of administrator accounts or user accounts. A user can easily check whether a leak has occurred in a specific block or a plurality of consumers. That is, the result output unit may provide the leak occurrence time information and the leak occurrence point information to the user through the analysis result screen 603 .

7 is a view for explaining an analysis process performed through a water leak detection system for a block including a plurality of consumers according to an embodiment of the present invention.

Referring to FIG. 7 , the result output unit (eg, the result output unit 119 of FIG. 1 ) included in the water supply leak detection system for a block including a plurality of consumers uses the output means to output preprocessed data required for the analysis process. It can be requested from outside.

According to an embodiment, the data analysis unit (eg, the data analysis unit 117 of FIG. 1 ) included in the water supply leak detection system for a block including a plurality of consumers (eg, the data analysis unit 117 of FIG. 1 ) is the data of the pre-processing data when the analysis process proceeds. When the amount is less than the amount of analysis reference data required for the analysis process, the pre-processing data required for the analysis process may be analyzed through the plurality of pre-stored algorithms. For example, when the data analysis unit performs the analysis process through the plurality of pre-stored algorithms, if there is no data required for analysis in the pre-processing data, it is determined that the data amount of the pre-processing data is less than the analysis reference data amount can do.

According to an embodiment, when the data amount of the pre-processing data required for the analysis process is less than the analysis reference data amount, the result output unit requests the pre-processing data required for the analysis process externally through the notification screen 703 of the output means 701 or may be announced.

8 is a diagram for explaining an example of an internal configuration of a computing device according to an embodiment of the present invention.

8 illustrates an example of an internal configuration of a computing device according to an embodiment of the present invention, and in the following description, descriptions of unnecessary embodiments that overlap with those of FIGS. 1 to 7 will be omitted. do it with

8, the computing device 10000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, an input/output subsystem ( It may include at least an I/O subsystem) 11400 , a power circuit 11500 , and a communication circuit 11600 . In this case, the computing device 10000 may correspond to a user terminal connected to the tactile interface device (A) or the aforementioned computing device (B).

The memory 11200 may include, for example, a high-speed random access memory, a magnetic disk, an SRAM, a DRAM, a ROM, a flash memory, or a non-volatile memory. have. The memory 11200 may include a software module, an instruction set, or other various data required for the operation of the computing device 10000 .

In this case, access to the memory 11200 from other components such as the processor 11100 or the peripheral device interface 11300 may be controlled by the processor 11100 .

Peripheral interface 11300 may couple input and/or output peripherals of computing device 10000 to processor 11100 and memory 11200 . The processor 11100 may execute a software module or an instruction set stored in the memory 11200 to perform various functions for the computing device 10000 and process data.

The input/output subsystem 11400 may couple various input/output peripherals to the peripheral interface 11300 . For example, the input/output subsystem 11400 may include a controller for coupling peripheral devices such as a monitor, keyboard, mouse, printer, or a touch screen or sensor as needed to the peripheral interface 11300 . According to another aspect, input/output peripherals may be coupled to peripheral interface 11300 without going through input/output subsystem 11400 .

The power circuit 11500 may supply power to all or some of the components of the terminal. For example, the power circuit 11500 may include a power management system, one or more power sources such as batteries or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator, or a power source. It may include any other components for creation, management, and distribution.

The communication circuit 11600 may enable communication with another computing device using at least one external port.

Alternatively, as described above, if necessary, the communication circuit 11600 may include an RF circuit to transmit and receive an RF signal, also known as an electromagnetic signal, to enable communication with other computing devices.

This embodiment of FIG. 8 is only an example of the computing device 10000, and the computing device 11000 may omit some components shown in FIG. 8 or further include additional components not shown in FIG. 8, or 2 It may have a configuration or arrangement that combines two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor in addition to the components shown in FIG. 8 , and various communication methods (WiFi, 3G, LTE) in the communication circuit 1160 , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication. Components that may be included in the computing device 10000 may be implemented in hardware, software, or a combination of both hardware and software including an integrated circuit specialized for one or more signal processing or applications.

Methods according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in a computer-readable medium. In particular, the program according to the present embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal. The application to which the present invention is applied may be installed in the user terminal through a file provided by the file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file according to a request of the user terminal.

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

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

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

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

Claims (10)

In the water supply leak detection system for a block comprising a plurality of receivers implemented as a computing device including one or more processors and one or more memories for storing instructions executable in the processor,
a flow data receiving unit configured to receive the generated flow data from the first flow sensor when the first flow sensor measures the integrated flow rate of water supplied to the block and generates flow data based on the measured integrated flow rate of water;
a usage data receiving unit configured to receive the usage data from the remote meter reader when a remote meter reader installed in each of the plurality of consumers generates usage data based on the amount of water used by each of the plurality of consumers measured by a water meter;
a pre-processing data conversion unit that normalizes the time interval between the received flow data and the usage data, and converts the flow data and the usage data into pre-processing data in a form that can be analyzed;
a data analysis unit that starts an analysis process for the pre-processed data through a plurality of pre-stored algorithms when a predetermined trigger is generated from the outside; and
and a result output unit for outputting result data based on the determination result through an output means when determining whether the water supply leaks to the block based on the result of the analysis process started by the data analysis unit A water leak detection system for a block including a plurality of consumers.
According to claim 1,
The usage data receiving unit,
When it is impossible to receive the usage data from the remote meter reader and the meter reader visits each of the plurality of consumers and inputs the checked water usage to the fee server, the fee data generated based on the input water usage is received from the fee server Water leak detection system for a block comprising a plurality of consumers, characterized in that.
3. The method of claim 2,
The fee data is
When the usage of water confirmed by the meter reading source is input to the fee server, it is generated based on a fee table pre-stored in the fee server and the input water usage,
The pre-processing data conversion unit,
When the usage data receiving unit receives the rate data from the rate server, when generating the pre-processing data, the rate data is reflected.
According to claim 1,
The pre-processing data conversion unit,
In a state in which the time interval of the flow data and the usage data is normalized, the flow rate information included in the flow data and the usage information included in the usage data are matched based on at least one time included in the time interval information matching unit; and
When the flow rate information and the usage information are matched by the information matching unit, the flow rate information that does not match the usage information is determined as the additionally added flow rate information, and the flow rate filtering for filtering the additionally added flow rate information A water leak detection system for a block comprising a plurality of consumers, characterized in that it comprises a unit.
5. The method of claim 4,
The pre-stored trigger is,
A water supply leak detection system for a block including a plurality of consumers, characterized in that it includes the lapse of a specified time, a request for analysis result received from the outside, and acquisition of new pre-processing data.
6. The method of claim 5,
The data analysis unit,
When the predetermined trigger occurs, a capacity check unit for checking the amount of water supplied to the block based on the flow rate information, and for checking the amount of water used by each of the plurality of consumers based on the usage information; and
When the confirmation of the amount of water supply and the amount of water used by the capacity check unit is completed, a capacity calculation unit for calculating at least one of a flow rate and a water leak rate based on the amount of water supplied and the amount of water used; A water leak detection system for a block comprising a plurality of consumers.
7. The method of claim 6,
The data analysis unit,
When it is determined that a leak has occurred in the water supply based on the calculated leak rate, a singular point is detected from the pre-processing data through a plurality of pre-stored algorithms, and the occurrence time and occurrence point of the leak occurring in the water supply are identified. A water leak detection system for a block comprising a plurality of consumers, characterized in that
According to claim 1,
The data analysis unit,
When the amount of data of the pre-processing data is less than the amount of analysis reference data required for the analysis process, the pre-processing data required for the analysis process is analyzed through the plurality of pre-stored algorithms, and the pre-processing data required for the analysis process is transmitted through the result output unit. Water leak detection system for a block comprising a plurality of consumers, characterized in that the output.
According to claim 1,
The data analysis unit,
When the analysis process for the pre-processing data is started, tap water leak detection for a block including a plurality of consumers, characterized in that the plurality of pre-stored algorithms are updated by analyzing the correlation to the pre-processing data according to the time sequence system.
According to claim 1,
The flow data receiving unit,
When a second flow sensor installed in each of the plurality of consumers measures the integrated flow rate of water supplied to each of the plurality of consumers and generates flow data for the consumer based on the measured integrated flow rate of water, the second flow rate sensor A water leak detection system for a block comprising a plurality of consumers, characterized in that receiving the generated consumer flow data.

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