Water meter management method, device, equipment and product for water supply pipe network system

Abstract

The application is suitable for the field of water management, and provides a water meter management method, device, equipment and product for a water supply pipe network system. The method comprises the following steps: acquiring current water quantity information of the water supply pipe network system, wherein the current water quantity information comprises first water quantity data corresponding to a port water meter, second water quantity data corresponding to a user remote water meter, and third water quantity data corresponding to a user non-remote water meter; determining the water supply quantity credibility of the water supply pipe network system according to the water quantity scale value in the first water quantity data; determining the water consumption quantity credibility of the water supply pipe network system according to the water quantity scale value in the second water quantity data and the water quantity scale value in the third water quantity data; and determining the production and marketing difference credibility of the water supply pipe network system, so that the water supply pipe network system performs water meter management. The method accurately determines the production and marketing difference credibility of the water supply pipe network system, so that the water supply pipe network system accurately decides whether the water meter needs to be managed according to the production and marketing difference credibility, and reduces the risk of delayed repair of the water meter.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of water management, and particularly relates to a water meter management method, device, equipment and product for a water supply network system. BACKGROUND

[0002] The existing water supply network system mainly adopts a district metering area (DMA) technology to perform leakage control, wherein a remote water meter can be installed at the inlet or outlet of each DMA, and a remote water meter and a non-remote water meter are installed in the DMA area. The DMA technology core relies on the integrity of the total flow data at the inlet and the user water consumption data, and leakage fine management and control are achieved through partition metering.

[0003] In actual application, the remote water meter can automatically send data at a regular time through a configured communication module, and the non-remote water meter needs to be manually read on site. Although the remote water meter can automatically send data, data collected by the remote water meter may be missing due to battery depletion, module damage and other faults. In addition, due to the dependence of the non-remote water meter on manual reading, the data collected by the non-remote water meter may be delayed for a long period of time, resulting in a time effectiveness fault. Therefore, the water supply network system cannot determine whether the water meter needs to be managed under an abnormal water quantity condition, thereby causing a delayed repair risk of the water meter. SUMMARY

[0004] The application embodiment provides a water meter management method, device, equipment and product for a water supply network system, which can enable the water supply network system to accurately determine whether the water meter needs to be managed according to the production and sales difference credibility, thereby reducing the delayed repair risk of the water meter.

[0005] In a first aspect, the application embodiment provides a water meter management method for a water supply network system, comprising:

[0006] obtaining current water quantity information of the water supply network system, wherein the current water quantity information includes first water quantity data corresponding to a port water meter, second water quantity data corresponding to a user remote water meter, and third water quantity data corresponding to a user non-remote water meter;

[0007] determining a water supply quantity credibility of the water supply network system according to a water quantity scale value in the first water quantity data;

[0008] determining a water consumption quantity credibility of the water supply network system according to a water quantity scale value in the second water quantity data and a water quantity scale value in the third water quantity data;

[0009] determining a production and sales difference credibility of the water supply network system based on the water supply quantity credibility and the water consumption quantity credibility, so that the water supply network system manages the water meter according to the production and sales difference credibility.

[0010] In a possible implementation of the first aspect, the number of the port water meters is multiple, the port water meters are configured at ports of the independent metering areas in the water supply network system, and the user remote water meter and the user non-remote water meter are configured inside the independent metering areas;

[0011] According to the water quantity scale value in the first water quantity data, the water supply quantity credibility of the water supply network system is determined, including:

[0012] According to whether the water quantity scale value in the first water quantity data of each port water meter in the multiple port water meters is the water quantity scale value originally collected by the port water meter, the first water quantity credibility of each port water meter is calculated.

[0013] According to the historical water quantity data of each port water meter and the daily average total water supply quantity of the independent metering area corresponding to each port water meter, the first influence weight of each port water meter is calculated.

[0014] Based on the first water quantity credibility and the first influence weight of each port water meter, the water supply quantity credibility of the water supply network system is determined.

[0015] In a possible implementation of the first aspect, according to whether the water quantity scale value in the first water quantity data of each port water meter in the multiple port water meters is the water quantity scale value originally collected by the port water meter, the first water quantity credibility of each port water meter is calculated, including:

[0016] In the case that the water quantity scale value corresponding to each port water meter is the water quantity scale value originally collected by the port water meter, it is detected whether the first water quantity data of each port water meter contains a zero-point water quantity scale value, wherein the zero-point water quantity scale value is the water quantity scale value collected by each port water meter at a zero-point time.

[0017] If it is detected that the first water quantity data of each port water meter contains the zero-point water quantity scale value, it is determined that the first water quantity credibility of each port water meter is 100%.

[0018] If it is detected that the first water quantity data of each port water meter does not contain the zero-point water quantity scale value, the first data missing rate and the historical missing interval water quantity of the first water quantity data of each port water meter are calculated respectively; according to the first data missing rate and the historical missing interval water quantity corresponding to each port water meter, the first water quantity credibility of each port water meter is calculated.

[0019] The first data missing rate is the quotient between the first data missing number and the preset collection number, the first data missing number is the number of missing water quantity scale values between the zero-point water quantity scale value and the last time water quantity scale value in the first water quantity data of each port water meter, and the preset collection number is the number of water quantity scale values that should be collected in a day according to the collection interval.

[0020] In a possible implementation manner of the first aspect, the first water quantity credibility of each port water meter is calculated according to whether the water quantity scale values in the first water quantity data of each port water meter are all water quantity scale values originally collected by the port water meter, and the first water quantity credibility of each port water meter comprises:

[0021] In a case where the water quantity scale values corresponding to each port water meter are not all water quantity scale values originally collected by the port water meter, a first data missing rate of the first water quantity data of each port water meter is calculated;

[0022] A mean square error value of the first water quantity data of each port water meter is calculated according to a predicted water quantity scale value in the first water quantity data of each port water meter and a historical water quantity scale value of each port water meter, wherein the predicted water quantity scale value is a water quantity scale value predicted by a prediction model for abnormal data in the first water quantity data of each port water meter, and the predicted water quantity scale value and the historical water quantity scale value are water quantity scale values collected at the same time on different days by each port water meter;

[0023] The first water quantity credibility of each port water meter is calculated based on the first data missing rate and the mean square error value corresponding to each port water meter.

[0024] In a possible implementation manner of the first aspect, the historical water quantity data comprises a plurality of historical water consumptions with a same target week value in a preset historical time interval, and the target week value is a week value corresponding to the first water quantity data.

[0025] The first influence weight of each port water meter is calculated according to the historical water quantity data of each port water meter and daily total water supply quantities of independent metering areas corresponding to each port water meter, and the first influence weight of each port water meter comprises:

[0026] A historical daily average water consumption of the plurality of historical water consumptions in the historical water quantity data is calculated.

[0027] A quotient of the historical daily average water consumption and the daily total water supply quantity is determined as the first influence weight of each port water meter.

[0028] In a possible implementation manner of the first aspect, the water quantity credibility of the water supply network system is determined according to water quantity scale values in the second water quantity data and water quantity scale values in the third water quantity data, and the water quantity credibility of the water supply network system comprises:

[0029] The second water quantity credibility of the user remote water meter is calculated according to whether the water quantity scale values in the second water quantity data are all water quantity scale values originally collected by the user remote water meter;

[0030] A current daily average water consumption corresponding to the third water quantity data is calculated based on the water quantity scale values in the third water quantity data.

[0031] The third water quantity credibility of the non-remote water meter of the user is calculated based on the current daily average water quantity, the maximum daily average threshold and the minimum daily average threshold;

[0032] The second influence weight of the remote water meter of the user is calculated according to the historical water quantity data of the remote water meter of the user and the daily average total water quantity of the independent metering area corresponding to the remote water meter of the user, and the third influence weight of the non-remote water meter of the user is calculated according to the historical water quantity data of the non-remote water meter of the user and the daily average total water quantity of the independent metering area corresponding to the non-remote water meter of the user;

[0033] The water quantity credibility of the water supply network system is calculated according to the second water quantity credibility and the second influence weight of the remote water meter of the user, and the third water quantity credibility and the third influence weight of the non-remote water meter of the user.

[0034] In a possible implementation manner of the first aspect, the number of the port water meters is multiple, and after the current water quantity information of the water supply network system is acquired, the method further includes:

[0035] The second data missing rate of each port water meter is calculated based on the first water quantity data of each port water meter, wherein the second data missing rate is the quotient between the second data missing number and the preset collection number, the second data missing number is the number of missing water scale values in the number of water scale values that should be collected in a day according to the collection interval, and the preset collection number is the number of water scale values that should be collected in a day according to the collection interval;

[0036] The mean square error value of the first water quantity data of each port water meter is calculated according to the predicted water scale value in the first water quantity data of each port water meter and the historical water scale value of each port water meter;

[0037] The instantaneous flow credibility of each port water meter is calculated based on the second data missing rate and the mean square error value corresponding to each port water meter;

[0038] The minimum flow credibility of the water supply network system is calculated based on the instantaneous flow credibility of each port water meter, so that the water supply network system manages the water supply pipeline of the water meter according to the minimum flow credibility.

[0039] In the second aspect, an embodiment of the present application provides a water meter management device for a water supply network system, which includes:

[0040] The acquisition module is configured to acquire current water quantity information of the water supply network system, wherein the current water quantity information includes first water quantity data corresponding to the port water meter, second water quantity data corresponding to the remote water meter of the user and third water quantity data corresponding to the non-remote water meter of the user;

[0041] The first determining module is configured to determine the water supply quantity credibility of the water supply network system according to the water quantity scale value in the first water quantity data.

[0042] The second determining module is configured to determine the water consumption quantity credibility of the water supply network system according to the water quantity scale value in the second water quantity data and the water quantity scale value in the third water quantity data.

[0043] The third determining module is configured to determine the production and sales difference credibility of the water supply network system based on the water supply quantity credibility and the water consumption quantity credibility, so that the water supply network system performs water meter management according to the production and sales difference credibility.

[0044] In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method of any one of the first aspect when executing the computer program.

[0045] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method of any one of the first aspect.

[0046] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when executed on a terminal device, causes the terminal device to perform the method of any one of the first aspect.

[0047] The embodiments of the present application provide a water meter management method and device for a water supply network system, and a product. The method includes: obtaining current water quantity information of the water supply network system, wherein the current water quantity information includes first water quantity data corresponding to a port water meter, second water quantity data corresponding to a user remote water meter, and third water quantity data corresponding to a user non-remote water meter; determining a water supply quantity credibility of the water supply network system according to a water quantity scale value in the first water quantity data; determining a water consumption quantity credibility of the water supply network system according to a water quantity scale value in the second water quantity data and a water quantity scale value in the third water quantity data; and determining a production and sales difference credibility of the water supply network system based on the water supply quantity credibility and the water consumption quantity credibility, so that the water supply network system performs water meter management according to the production and sales difference credibility. By using the above technical solution, the production and sales difference credibility of the water supply network system can be accurately determined by determining the water supply quantity credibility of the water supply network system according to the water quantity scale value in the first water quantity data, and determining the water consumption quantity credibility of the water supply network system according to the water quantity scale value in the second water quantity data and the water quantity scale value in the third water quantity data, so that the water supply network system can accurately decide whether the water meter needs to be managed according to the production and sales difference credibility, and the risk of delayed repair of the water meter is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0049] Figure 1 is a flowchart of a water meter management method for a water supply pipe network system provided by an embodiment of the present application;

[0050] Figure 2 is a flowchart of a water meter management method for a water supply pipe network system provided by another embodiment of the present application;

[0051] Figure 3 is a flowchart of a water supply amount credibility calculation method provided by an embodiment of the present application;

[0052] Figure 4 is a flowchart of a water consumption amount credibility calculation method provided by an embodiment of the present application;

[0053] Figure 5 is a flowchart of a production and sales difference credibility calculation method provided by an embodiment of the present application;

[0054] Figure 6 is a flowchart of a minimum flow credibility calculation method provided by an embodiment of the present application;

[0055] Figure 7 is a structural diagram of a device-level credibility calculation model provided by an embodiment of the present application;

[0056] Figure 8 is a structural block diagram of a water meter management device for a water supply pipe network system provided by an embodiment of the present application;

[0057] Figure 9 is a structural diagram of a terminal device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0058] In the following description, specific details are set forth in order to provide a thorough understanding of embodiments of the present application. However, persons of ordinary skill in the art will readily appreciate that embodiments of the present application can be practiced without these specific details. In other instances, well-known structures, devices, circuits, and methods have not been described in detail in order to avoid obscuring the present application.

[0059] It will be understood that the term “includes,” “comprises,” “including,” or “comprising” when used in this specification and the appended claims specifies the presence of the stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0060] It will also be understood that the term “and / or” as used in this specification and the appended claims, means any one of the associated listed items, or any combination of one or more of the associated listed items, and includes all possible combinations.

[0061] As used in this specification and the appended claims, the term “if’ can be construed to mean “when” or “once” or “in response to determining” or “in response to detecting” depending on the context. Similarly, the phrase “if it is determined” or “if [a described condition or event] is detected” can be construed to mean “once it is determined” or “in response to determining” or “once [the described condition or event] is detected” or “in response to detecting [the described condition or event]”, depending on the context.

[0062] In addition, the terms “first,” “second,” “third,” etc. as used in the description of the application and the appended claims are used only to differentiate between different instances of the same feature, and are not meant to imply or suggest relative importance of the features so designated.

[0063] The use of the terms “one embodiment,” “some embodiments,” “other embodiments,” “another embodiment,” “one implementation,” “some implementations,” “another implementation,” etc., in the description and / or the claims means that a particular feature, structure, or characteristic described in connection with these terms is included in at least one embodiment. The appearance of the phrases “in one embodiment,” “in some embodiments,” “in other embodiments,” “in yet other embodiments,” “in another embodiment,” and the like, in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily referring to different embodiments. The terms “including,” “comprising,” “having” and variations thereof are meant to encompass the item listed thereafter, but do not exclude additional, unrecited items. Unless otherwise noted, the terms “first,” “second,” “third,” etc., are not intended to imply relative importance or order of elements.

[0064] It can be considered that due to failures such as battery depletion, module damage, etc., missing data of remote water meter collection will occur, and due to the fact that non-remote water meters rely on manual meter reading, long-period delay of data collected by non-remote water meters will occur, resulting in time effectiveness fault, so the missing and delay of data of these two types of water meters will form mixed data gaps, which will destroy the basis of water balance analysis, and cause the following three technical defects in the water supply network system:

[0065] 1. Minimum Night Flow (MNF) calculation distortion: The water supply network system cannot accurately capture the true flow during the night low water period due to data missing, resulting in a drift in the leakage baseline.

[0066] 2. Non-Revenue Water (NRW) analysis credibility collapse: The total flow at the inlet of the DMA and the total user water consumption have an unquantifiable deviation due to data missing;

[0067] 3. Decision chain breakage: Data missing and delay state cause the water supply network system to be unable to verify the reliability of the calculation results, causing the risk of delayed repair of water meters, such as the water supply network system being unable to determine whether the calculation results can be directly used to issue repair work orders, thereby delaying the issuance of repair work orders.

[0068] In order to solve the above-mentioned data gap problem, Table 1 is the related content of three types of solutions currently provided in the industry.

[0069] Table 1 Related content of three types of solutions

[0070]

[0071] As can be seen from Table 1, Table 1 respectively shows three types of representative solutions and the technical defects of each representative solution, it can be seen that the three types of representative solutions mainly focus on data layer repair or hardware layer replacement, none of which provides a credibility quantification algorithm for calculation results in a data missing state, resulting in the water supply network system being unable to determine the accuracy of the calculation results in a data missing state, unable to verify whether the calculation results can be directly used for decision making, causing the water supply network system to fall into a dead loop of decision paralysis, and at the same time there are problems such as high cost and low efficiency.

[0072] Based on this, the embodiment provides a water meter management method for a water supply network system, which is different from the concept of repairing data to maintain calculation in the prior art. The embodiment converts the problem of "data missing state" into "quantifiable decision basis" through credibility scoring, such as evaluating calculation credibility based on water quantity data to drive decision making, solving the calculation credibility problem under mixed data gap, fundamentally solving the problem of untrustworthy analysis conclusion and decision chain breakage caused by data anomaly, and realizing the leap from data layer repair to decision layer reconstruction.

[0073] Figure 1 is a flowchart of a water meter management method for a water supply network system provided by an embodiment of the present application, as an example but not limitation, the method can be applied in a terminal device, such as Figure 1 as shown, the method comprises:

[0074] S101, acquiring current water quantity information of the water supply network system.

[0075] The current water quantity information includes first water quantity data corresponding to the port water meter, second water quantity data corresponding to the user remote water meter, and third water quantity data corresponding to the user non-remote water meter.

[0076] The current water quantity information can refer to information related to water quantity of the water supply pipe network system at different time points in a day, such as information related to water quantity of the water supply pipe network system at different time points yesterday. The specific content is not limited, for example, the current water quantity information can include original water quantity scale values collected by different collection devices at different time points, can include predicted water quantity scale values after abnormal original water quantity scale values are treated, or the current water quantity information can further include water quantity change rate based on water quantity scale values, and the like.

[0077] The water quantity scale value can be considered as a cumulative value of water quantity at a certain time point or at a certain time. The total water consumption in this time period can be obtained by calculating the difference between different water quantity cumulative values at the same time in different days, such as yesterday's water consumption = today's zero point water quantity scale value - yesterday's zero point water quantity scale value.

[0078] For example, in a specific application, the current water quantity information can include first water quantity data corresponding to the port water meter, second water quantity data corresponding to the user remote water meter, and third water quantity data corresponding to the user non-remote water meter. The first water quantity data, the second water quantity data, and the third water quantity data can include original water quantity scale values collected by respective collection devices. After obtaining the original water quantity scale values collected by the collection devices, the embodiment can further identify abnormal data of the device original data (i.e., the original water quantity scale values) to obtain treated data by treating the abnormal original water quantity scale values in the case that the original water quantity scale values are abnormal. Therefore, the first water quantity data, the second water quantity data, and the third water quantity data can further include predicted water quantity scale values after the abnormal original water quantity scale values are treated in the case that the original water quantity scale values are abnormal.

[0079] Whether to treat the original water quantity scale values can be selected according to actual needs of the user. For example, when the original water quantity scale values collected by a water meter have missing or obvious abnormal conditions at a certain time, if the user allows the algorithm to treat the original water quantity scale values, the embodiment can use a prediction model to fill in the missing water quantity scale values or repair the abnormal water quantity scale values. For example, the prediction model can predict the missing water quantity scale values to be filled in or predict data after data repair of the abnormal water quantity scale values. The water quantity scale values after treatment are considered as predicted water quantity scale values. The prediction model can be, for example, a Long Short Term Memory (LSTM) model.

[0080] The user remote water meter is a remote water meter arranged in the internal region of the independent metering region, and the user non-remote water meter is a non-remote water meter arranged in the internal region of the independent metering region.

[0081] S102, determining the water supply quantity credibility of the water supply pipe network system according to the water quantity scale value in the first water quantity data.

[0082] S103, determining the water consumption quantity credibility of the water supply pipe network system according to the water quantity scale value in the second water quantity data and the water quantity scale value in the third water quantity data.

[0083] The water supply quantity credibility can be used to represent the credibility of the data related to the water supply quantity in the water supply pipe network system, the water consumption quantity credibility can be used to represent the credibility of the data related to the water consumption quantity in the water supply pipe network system, and the water supply quantity credibility and the water consumption quantity credibility can be calculated according to the water quantity scale values corresponding to the respective water meters.

[0084] The calculation means of the water supply quantity credibility and the water consumption quantity credibility is not limited, for example, the water supply quantity credibility and the water consumption quantity credibility can be calculated by the same technical means, such as by means of a neural network model, by inputting the respective water quantity scale values into the respective preset neural network models, the corresponding water supply quantity credibility and water consumption quantity credibility can be obtained, or the calculation means of the water supply quantity credibility and the water consumption quantity credibility can be determined according to the different actual situations of collecting the water quantity scale values and the different types of the corresponding water meters, the different actual situations of the water quantity scale values can correspond to different calculation means, and this embodiment will not be further expanded, as long as the water supply quantity credibility and the water consumption quantity credibility can be obtained.

[0085] S104, determining the production and sales difference credibility of the water supply pipe network system based on the water supply quantity credibility and the water consumption quantity credibility, so that the water supply pipe network system manages the water meters according to the production and sales difference credibility.

[0086] After the water supply amount credibility and the water consumption amount credibility of the water supply network system are obtained through the above steps, the production and sales difference credibility can be determined in this step, so that the water supply network system can make decisions on water meter management according to the specific size of the production and sales difference credibility, such as whether the result is credible according to the pre-set credibility threshold value, and whether a decision can be made directly according to the result to solve the quantification problem of credibility. For example, when the production and sales difference credibility is greater than or equal to θ, it indicates that the water supply network system can directly use the obtained current water amount information for automatic decision-making, such as when the total water consumption in a certain time period calculated from the water amount scale value collected by a certain water meter in the current water amount information is significantly higher than the total water consumption in the same time period of the historical date, a maintenance work order for the water meter can be directly issued at this time. When 70%≤production and sales difference credibility<θ, it indicates that the data of the water supply network system needs to be manually reviewed before being used for decision-making. When the production and sales difference credibility is less than 70%, it indicates that the value of using the current water amount information of the water supply network system for decision-making is not great, and the current water amount information can be marked as unusable.

[0087] The production and sales difference credibility can be calculated based on the weight coefficients of the water supply amount credibility and the water consumption amount credibility, such as production and sales difference credibility = α × water supply amount credibility + β × water consumption amount credibility, α and β are the weight coefficients of the water supply amount credibility and the water consumption amount credibility respectively, α + β = 1, and the specific values of α and β can be determined by relevant personnel according to experience, such as α = 0.5 and β = 0.5.

[0088] The water meter management method for the water supply network system provided in this embodiment can accurately determine the production and sales difference credibility of the water supply network system by determining the water supply amount credibility of the water supply network system according to the water amount scale value in the first water amount data and determining the water consumption amount credibility of the water supply network system according to the water amount scale value in the second water amount data and the water amount scale value in the third water amount data, so that the water supply network system can accurately decide whether the water meter needs to be managed according to the production and sales difference credibility, thereby reducing the risk of delayed repair of the water meter.

[0089] In some possible implementations, the number of port water meters is multiple, and after the current water amount information of the water supply network system is obtained, the method further includes:

[0090] Based on the first water amount data of each port water meter in the multiple port water meters, the second data missing rate of each port water meter is calculated, wherein the second data missing rate is the quotient between the second data missing number and the preset collection number, the second data missing number is the number of missing water amount scale values in the number of water amount scale values that should be collected in a day according to the collection interval, and the preset collection number is the number of water amount scale values that should be collected in a day according to the collection interval;

[0091] According to the predicted water scale value in the first water quantity data of each port water meter and the historical water scale value of each port water meter, a mean square error value of the first water quantity data of each port water meter is calculated;

[0092] Based on the second data missing rate and the mean square error value corresponding to each port water meter, an instantaneous flow confidence of each port water meter is calculated.

[0093] Based on the instantaneous flow confidence of each port water meter, a minimum flow confidence of the water supply network system is calculated, so that the water supply network system manages the water meter supply pipeline according to the minimum flow confidence.

[0094] The second data missing rate of each port water meter can be the quotient between the second data missing number and the preset collection number. The second data missing number is the number of missing water scale values in the number of water scale values that should be collected in a day according to the collection interval. The preset collection number is the number of water scale values that should be collected in a day according to the collection interval. For example, when the collection interval of a certain port water meter is one hour, and the first water quantity data of the port water meter includes 20 water scale values, the second data missing number of the port water meter is 4, the preset collection number of the port water meter is 24, and therefore the second data missing rate of the port water meter is 1 / 6.

[0095] The mean square error value of the first water quantity data of each port water meter can be calculated according to the predicted water scale value in the first water quantity data of each port water meter and the historical water scale value of each port water meter. The predicted water scale value can be the water scale value predicted by the prediction model for the abnormal data in the first water quantity data of each port water meter. The predicted water scale value and the historical water scale value can be the water scale values collected at the same time on different days by each port water meter. For example, the calculation formula of the mean square error value MSE corresponding to each port water meter can be n can be the number of sample numbers in the prediction period, the actual value is the historical water scale value, and the predicted value is the predicted water scale value.

[0096] After obtaining the second data missing rate and the mean square error value corresponding to each port water meter, the instantaneous flow confidence of each port water meter can be calculated, and then the minimum flow confidence of the water supply network system is calculated, so that the water supply network system manages the water meter supply pipeline according to the minimum flow confidence. For example, the water meter supply pipeline can be managed and decided according to the specific size of the minimum flow, and the leakage repair of the water supply pipeline is completed. The specific decision-making process can be similar to the decision-making process of the water supply network system according to the production and sales difference confidence, which will not be described further here.

[0097] Wherein, the instantaneous flow rate reliability of each port water meter can be obtained by simple addition, subtraction, multiplication and division calculation on the second data missing rate and mean square error value, or the instantaneous flow rate reliability of each port water meter can be calculated according to certain calculation logic, and optionally, instantaneous flow rate reliability = data integrity rate 2 + (1-MSE) x data missing rate 2, wherein the data missing rate 2 is the second data missing rate, the data integrity rate 2 = actual number of received data / expected number of received data, the actual number of received data can refer to the number of data received in a day, i.e. the number of actually collected water scale values, and the expected number of received data is the preset collection number.

[0098] Further, the minimum flow rate reliability can be determined according to the installation position and number of port water meters, such as the plurality of port water meters can be divided into inlet meters installed at the entrances of independent metering areas and outlet meters installed at the exits of independent metering areas, and the calculation method of the minimum flow rate reliability can be: minimum flow rate reliability = [∑inlet meter instantaneous flow rate reliability / N + ∑outlet meter instantaneous flow rate reliability / N] / 2, N is the number of inlet meters and outlet meters.

[0099] Figure 2 is a flowchart of a water meter management method for a water supply network system provided by another embodiment of the present application. In the embodiment, the number of port water meters is multiple, the port water meters are arranged at the ports of independent metering areas in the water supply network system, and the user remote water meters and the user non-remote water meters are arranged inside the independent metering areas; and the water supply amount reliability of the water supply network system is further optimized according to the water scale values in the first water amount data as follows: the first water amount reliability of each port water meter is calculated according to whether the water scale values in the first water amount data of each port water meter in the plurality of port water meters are all the water scale values originally collected by the port water meters; the first influence weight of each port water meter is calculated according to the historical water amount data of each port water meter and the daily average total water supply amount of the independent metering area corresponding to each port water meter; and the water supply amount reliability of the water supply network system is determined based on the first water amount reliability and the first influence weight of each port water meter. As shown in Figure 2 The method comprises:

[0100] S201, acquiring current water amount information of a water supply network system.

[0101] S202, calculating the first water amount reliability of each port water meter according to whether the water scale values in the first water amount data of each port water meter in the plurality of port water meters are all the water scale values originally collected by the port water meters.

[0102] In the embodiment, the first water quantity credibility of each port water meter can be calculated according to whether the water quantity scale values in the first water quantity data of each port water meter are all the water quantity scale values originally collected by the port water meter. The embodiment does not limit the manner of calculating the first water quantity credibility. For example, in the case that the water quantity scale values in the first water quantity data are all the water quantity scale values originally collected by the port water meter, the first water quantity credibility of the port water meter can be directly determined as 100%. In the case that the water quantity scale values in the first water quantity data are not all the water quantity scale values originally collected by the port water meter, the first water quantity credibility can be directly configured with a preset value, or calculated according to the number of the water quantity scale values originally collected in the first water quantity data, and so on.

[0103] In some possible embodiments, the first water quantity credibility of each port water meter is calculated according to whether the water quantity scale values in the first water quantity data of each port water meter are all the water quantity scale values originally collected by the port water meter, including:

[0104] In the case that the water quantity scale values corresponding to each port water meter are all the water quantity scale values originally collected by the port water meter, it is detected whether the first water quantity data of each port water meter contains a zero-point water quantity scale value, wherein the zero-point water quantity scale value is the water quantity scale value collected by each port water meter at a zero-point time.

[0105] If it is detected that the first water quantity data of each port water meter contains the zero-point water quantity scale value, it is determined that the first water quantity credibility of each port water meter is 100%.

[0106] If it is detected that the first water quantity data of each port water meter does not contain the zero-point water quantity scale value, the first data missing rate and the historical missing interval water quantity of the first water quantity data of each port water meter are respectively calculated, and the first water quantity credibility of each port water meter is calculated according to the first data missing rate and the historical missing interval water quantity corresponding to each port water meter.

[0107] The first data missing rate is the quotient between the first data missing number and the preset collection number, the first data missing number is the number of missing water quantity scale values between the zero-point water quantity scale value and the last time water quantity scale value in the first water quantity data of each port water meter, and the preset collection number is the number of water quantity scale values that should be collected in a day according to the collection interval.

[0108] In the specific embodiment, since the data value of the zero-point water quantity scale value is large, in the case that the water quantity scale value corresponding to each port water meter is the original collected water quantity scale value of the port water meter, the corresponding detection result can be obtained by detecting whether the first water quantity data of each port water meter contains the zero-point water quantity scale value, and then the first water quantity credibility is calculated differently according to different detection results. For example, when it is detected that the first water quantity data of each port water meter contains the zero-point water quantity scale value, it can be directly determined that the first water quantity credibility of each port water meter is 100%. When it is detected that the first water quantity data of each port water meter does not contain the zero-point water quantity scale value, the first water quantity credibility of each port water meter can be calculated according to the actual situation of the water quantity scale value in the first water quantity data of each port water meter. For example, the quotient between the first data missing number and the preset collection number can be calculated, and the calculated quotient is determined as the first data missing rate. The first data missing number can be the number of missing water quantity scale values between the zero-point water quantity scale value and the last time water quantity scale value in the first water quantity data of each port water meter. The preset collection number is the number of water quantity scale values that should be collected in a day according to the collection interval. Secondly, the historical missing interval water quantity can be understood as the average water consumption of the same missing time period in the same week in the preset historical time period. The preset historical time period can be a preset historical time period, such as the last three months, etc. The missing time period can be the time period from the time of the last time water quantity scale value to 24 o'clock. For example, the historical missing interval water quantity = the average water consumption of the same missing time period in the same week in the last 4 weeks.

[0109] Therefore, the first water quantity credibility of each port water meter can be calculated according to the first data missing rate and the historical missing interval water quantity corresponding to each port water meter. The formula for calculating the first water quantity credibility can be configured by relevant personnel according to actual needs. For example, the first water quantity credibility = 0.5 × (1-data missing rate 1) + 0.5 × (1-historical missing interval water quantity / historical daily average water quantity), wherein the data missing rate 1 (i.e. the first data missing rate) = data missing number 1 / should receive number, the data missing number 1 can be the missing number of the last true value from 0 o'clock in the should receive number in a day according to the collection interval, and the should receive number can be the number of should receive in a day according to the collection interval; the historical daily average water quantity can be the daily average water quantity in the same week in the preset historical time period, such as the historical daily average water quantity = the daily average water quantity in the same week in the last 4 weeks. More specifically, the example can group the water quantity data of the last 4 weeks according to the same week (such as Monday to Sunday) as a period, so that the daily average water quantity of the port water meter in the same week in the last 4 weeks = (the water quantity of the first week X + the water quantity of the second week X + the water quantity of the third week X + the water quantity of the fourth week X) / 4, X ∈ {1, 2, 3, 4, 5, 6, 7} represents the week value corresponding to the first water quantity data.

[0110] In some possible implementation manners, the first water quantity credibility of each port water meter is calculated according to whether the water quantity scale values in the first water quantity data of each port water meter are all the water quantity scale values originally collected by the port water meter, including:

[0111] In the case that the water quantity scale values corresponding to each port water meter are not all the water quantity scale values originally collected by the port water meter, the first data missing rate of the first water quantity data of each port water meter is calculated.

[0112] The mean square error value of the first water quantity data of each port water meter is calculated according to the predicted water quantity scale value in the first water quantity data of each port water meter and the historical water quantity scale value of each port water meter, wherein the predicted water quantity scale value is the water quantity scale value predicted by the prediction model for the abnormal data in the first water quantity data of each port water meter, and the predicted water quantity scale value and the historical water quantity scale value are the water quantity scale values collected at the same time of different days by each port water meter.

[0113] The first water quantity credibility of each port water meter is calculated based on the first data missing rate and the mean square error value corresponding to each port water meter.

[0114] In this step, when the water quantity scale values in the first water quantity data are not all the water quantity scale values originally collected by the port water meter, the first data missing rate and the mean square error value of the first water quantity data can be calculated according to the actual situation of the water quantity scale values in the first water quantity data, and then the first water quantity credibility of each port water meter is calculated according to the formula: credibility=(1-MSE)×data missing rate1+data integrity rate1, wherein data missing rate1 is the first data missing rate, MSE is the mean square error value, data integrity rate1=1-data missing rate1, and the specific calculation process of the first data missing rate and the mean square error value can be referred to the above steps.

[0115] S203, the first influence weight of each port water meter is calculated according to the historical water quantity data of each port water meter and the daily average total water supply quantity of the independent metering area corresponding to each port water meter.

[0116] S204, the water supply quantity credibility of the water supply network system is determined based on the first water quantity credibility and the first influence weight of each port water meter.

[0117] The first influence weight can be used to represent the influence of each port water meter on the water supply quantity credibility.

[0118] After the first water quantity credibility of each port water meter is calculated through the above steps, the first influence weight of each port water meter needs to be calculated, so as to obtain the water supply quantity credibility of the water supply network system by weighted sum of the first water quantity credibility. Wherein, the first influence weight of each port water meter can be dynamically calculated according to the historical water quantity data of each port water meter and the daily average total water supply quantity of the independent metering area corresponding to each port water meter, such as the proportion of the daily average total water supply quantity of the independent metering area corresponding to each port water meter in the historical daily average water consumption can be taken as the first influence weight of each port water meter.

[0119] More specifically, the historical water quantity data can include a plurality of historical water consumptions with the same target week value in a preset historical time interval, and the target week value is the week value corresponding to the first water quantity data. First, the historical daily average water consumption of the plurality of historical water consumptions in the historical water quantity data can be calculated; and then the quotient of the historical daily average water consumption and the daily average total water supply quantity is determined as the first influence weight of each port water meter, such as the influence weight of device k (i.e. the first influence weight of each port water meter) = device k's daily average water consumption of the same week in the last 4 weeks / DMA daily average total water supply quantity, and the device k's daily average water consumption of the same week in the last 4 weeks is the historical daily average water consumption, and the DMA daily average total water supply quantity is the total water consumption of the inlet meter of the independent metering area minus the total water consumption of the outlet meter of the independent metering area. On this basis, the first influence weight of each port water meter is dynamically calculated according to the historical water quantity data of each port water meter and the daily average total water supply quantity of the independent metering area corresponding to each port water meter, which can improve the authenticity of the first influence weight of each port water meter, and further improve the accuracy of the water supply quantity credibility.

[0120] Further, the water supply quantity credibility of the water supply network system can be determined according to the installation position and number of the port water meters, such as the plurality of port water meters can be divided into inlet meters installed at the entrance of the independent metering area and outlet meters installed at the exit of the independent metering area, and the calculation method of the water supply quantity credibility can be: water supply quantity credibility = Σ (inlet meter device credibility x weight p) + Σ (outlet meter device credibility x weight q), wherein the inlet meter device credibility is the first water quantity credibility of each inlet meter, the outlet meter device credibility is the first water quantity credibility of each outlet meter, and the weights p and q are the first influence weights of the inlet meter and the outlet meter, respectively.

[0121] S205, determining the water consumption credibility of the water supply network system according to the water quantity scale value in the second water quantity data and the water quantity scale value in the third water quantity data.

[0122] In some possible implementations, the water consumption credibility of the water supply network system is determined according to the water quantity scale value in the second water quantity data and the water quantity scale value in the third water quantity data, including:

[0123] According to whether the water quantity scale values in the second water quantity data are all water quantity scale values originally collected by the user remote water meter, the second water quantity credibility of the user remote water meter is calculated;

[0124] The current daily average water consumption corresponding to the third water quantity data is calculated based on the water quantity scale values in the third water quantity data;

[0125] The third water quantity credibility of the user non-remote water meter is calculated based on the current daily average water consumption, the maximum daily average threshold and the minimum daily average threshold;

[0126] The second influence weight of the user remote water meter is calculated according to the historical water quantity data of the user remote water meter and the daily average total water consumption of the independent metering area corresponding to the user remote water meter, and the third influence weight of the user non-remote water meter is calculated according to the historical water quantity data of the user non-remote water meter and the daily average total water consumption of the independent metering area corresponding to the user non-remote water meter;

[0127] The water consumption credibility of the water supply network system is calculated according to the second water quantity credibility and the second influence weight of the user remote water meter, and the third water quantity credibility and the third influence weight of the user non-remote water meter.

[0128] In the specific implementation, the calculation process of the second water quantity credibility of the user remote water meter can be similar to the calculation process of the first water quantity credibility of the port water meter, such as in the case where the water quantity scale values in the second water quantity data are all water quantity scale values originally collected by the user remote water meter, the second water quantity credibility is determined by detecting whether the second water quantity data contains a zero point water quantity scale value, and in the case where the water quantity scale values in the second water quantity data are not all water quantity scale values originally collected by the user remote water meter, the second water quantity credibility of the user remote water meter is calculated according to the actual situation of the water quantity scale values in the second water quantity data, etc.

[0129] And the calculation of the third water quantity credibility of the user non-remote water meter can be determined according to the double deviation constraint algorithm and the actual situation of the water quantity scale values in the third water quantity data, for example, the current daily average water consumption corresponding to the third water quantity data is calculated based on the water quantity scale values in the third water quantity data, and then the corresponding third water quantity credibility is determined based on the calculated current daily average water consumption, the maximum daily average threshold and the minimum daily average threshold, such as by simply comparing the current daily average water consumption, the maximum daily average threshold and the minimum daily average threshold to calculate the corresponding third water quantity credibility, or by a series of calculations to obtain the third water quantity credibility of the user non-remote water meter. The maximum daily average threshold can be understood as the maximum critical value of the daily average water consumption, and the minimum daily average threshold can be understood as the minimum critical value of the daily average water consumption, and the specific value can be determined by an empirical value.

[0130] Optionally, the third water quantity credibility = 1 - [MAX (maximum positive deviation, maximum negative deviation) / current daily average water consumption], the maximum positive deviation = manually set daily maximum water consumption (i.e., maximum daily average threshold) - current daily average water consumption, and the maximum negative deviation = current daily average water consumption - manually set daily minimum water consumption (i.e., minimum daily average threshold).

[0131] Further, the second influence weight of the user remote water meter and the third influence weight of the non-user remote water meter can be calculated in a manner similar to the calculation of the first influence weight of the port water meter, such as the second influence weight of the user remote water meter i = daily average water consumption of the same week in the last 4 weeks of the user remote water meter i / DMA daily average total water consumption, and the third influence weight of the non-user remote device j = daily average water consumption of the same week in the last 4 weeks of the non-user remote device j / DMA daily average total water consumption, so that the water consumption credibility of the water supply network system = Σ (user remote device i credibility * third influence weight) + Σ (non-user remote device j credibility * third influence weight), the user remote device i credibility being the second water quantity credibility of the user remote water meter, and the non-user remote device j credibility being the third water quantity credibility of the non-user remote water meter.

[0132] In S206, based on the water supply quantity credibility and the water consumption credibility, a production and sales difference credibility of the water supply network system is determined, so that the water supply network system manages the water meter according to the production and sales difference credibility.

[0133] The water meter management method for the water supply network system provided in the embodiment can improve the accuracy of the water supply quantity credibility by calculating the first water quantity credibility of each port water meter according to whether the water quantity scale values in the first water quantity data of each port water meter are all the water quantity scale values originally collected by the port water meter, and calculating the first influence weight of each port water meter according to the historical water quantity data of each port water meter and the daily average total water supply quantity of the corresponding independent metering area, thereby providing a data basis for accurately determining the production and sales difference credibility of the water supply network system in the future and further reducing the risk of delayed repair of the water meter.

[0134] Figure 3 is a flowchart of calculating the water supply quantity credibility provided in an embodiment of the present application, referring to Figure 3, first, the first water quantity credibility of a single device can be calculated, such as after obtaining the device original data collected by each remote single device (port water meter), whether there is an abnormal value in the device original data can be identified, if the device original data has an abnormal value, the abnormal and missing data is governed using a prediction model to obtain the governed data (i.e. the first water quantity data); if the device original data does not have an abnormal value, the device original data is the first water quantity data; then it is judged whether the scale value of the water quantity calculation (i.e. the first water quantity data) is all original data, if the scale value of the water quantity calculation is all original data, it is judged whether there is a 0 point subtraction, such as whether the first water quantity data has a zero point water scale value, in the case that the first water quantity data has a zero point water scale value, the water quantity credibility of this device for this day (i.e. the first water quantity credibility) is configured as 100%; in the case that the first water quantity data does not have a zero point water scale value, the water quantity credibility of this device for this day (i.e. the first water quantity credibility) can be calculated according to the formula: credibility = 0.5 x (1-data missing number / should receive number) + 0.5 x (1-historical missing interval water quantity / daily water quantity). If the scale value of the water quantity calculation is not all original data, the water quantity credibility of this device for this day (i.e. the first water quantity credibility) can be calculated according to the formula: credibility = (1-MSE) x data missing rate + data completeness rate.

[0135] After obtaining the first water quantity credibility of each single device, the water quantity proportion of each single device in a week can be calculated according to the weekly rule (such as the average value of the same week in the last 4 weeks), the proportion of the water quantity proportion of the target week value in the total water supply in the water quantity proportion of each single device in a week is calculated to obtain the first influence weight of the single device; then multiplied by the credibility of the single device, and then accumulated to obtain the DMA water supply quantity credibility, i.e. the first water quantity credibility of each single device is weighted and summed to obtain the DMA water supply quantity credibility according to the first influence weight of each single device.

[0136] Figure 4 is a flowchart of calculating water quantity credibility provided by an embodiment of the present application, referring to Figure 4 , first, the water quantity credibility of a single device can be calculated, including the second water quantity credibility of the user remote meter and the third water quantity credibility of the user non-remote meter, wherein the calculation process of the second water quantity credibility of the user remote meter can be similar to the process of calculating the first water quantity credibility of the port water meter, which is not further described here; for the user non-remote meter, the monthly meter reading water quantity collected by the user non-remote meter is averaged to a day, in the process of calculating the average water quantity credibility, first, the daily minimum water quantity and the daily maximum water quantity can be set; then the deviation range of the average value (the maximum positive deviation, the maximum negative deviation) is calculated, and finally the third water quantity credibility of the user non-remote meter is calculated according to the formula: credibility = 1-deviation value / average daily water quantity, wherein the deviation value is the maximum value of the maximum positive deviation and the maximum negative deviation.

[0137] After obtaining the water quantity credibility of each single device, the water quantity proportion of each single device in each day of a week (such as the average value of the same week in the last 4 weeks) can be calculated according to a weekly rule, the water quantity proportion of the target week value in the water quantity proportion of each single device in each day of a week is calculated, and the proportion of the water quantity proportion of the target week value in the total water supply quantity is obtained to obtain the influence weight of each single device (including the second influence weight of each user remote water meter and the third influence weight of each user remote water meter); then multiplied by the single device credibility, and then added to obtain the DMA water quantity credibility, that is, the second water quantity credibility of each user remote water meter is weighted and summed according to the second influence weight of each user remote water meter, and the third water quantity credibility of each user non-remote water meter is weighted and summed according to the third influence weight of each user non-remote water meter, to obtain the DMA water quantity credibility.

[0138] Figure 5 is a flowchart of a process for calculating the production and sales difference credibility provided by an embodiment of the present application, referring to Figure 5 Since the production and sales difference is equal to the difference between the water supply quantity and the water consumption quantity, the production and sales difference credibility of the water supply network system can be calculated according to the formula: credibility = 0.5 x water supply quantity credibility + 0.5 x water consumption quantity credibility.

[0139] Figure 6 is a flowchart of a process for calculating the minimum flow credibility provided by an embodiment of the present application, referring to Figure 6 First, the instantaneous flow credibility of a single device can be calculated according to the formula: credibility = data integrity rate 2 + (1-MSE) x data missing rate 2; then the sum of the credibilities of multiple devices is averaged to obtain the DMA minimum flow credibility.

[0140] The water meter management method for the water supply network system provided by the embodiment will be described exemplarily as follows:

[0141] The specific process of the water meter management method of the embodiment can involve a data collection layer, a data management layer, a calculation layer and a decision layer, wherein the data collection layer can be responsible for collecting remote flow raw data and collecting manual meter reading data. The data management layer can be responsible for identifying abnormal data of device raw data, and in the case of abnormal data, using an LSTM model to repair and fill the abnormal / missing data to obtain the governed data.

[0142] The computing layer can be responsible for calculating the device-level water quantity reliability and instantaneous flow reliability according to the following three cases: the difference of water meter types, whether the water quantity data contains zero water scale value, and whether there is prediction data in the water quantity data, dynamically weighting the reliabilities of water supply quantity, water consumption quantity, production and sales difference, and minimum flow according to the device-level reliability, such as first calculating the single-device reliability according to the post-treatment data, then dynamically allocating the weight of each single device to ensure that the single-device weight ∈ [0, 1] and the total weight of multiple devices = 1; then aggregating the single-device reliability based on the weight of each single device to obtain the production and sales difference reliability and the minimum flow reliability.

[0143] The decision layer can be responsible for judging the production and sales difference reliability and the minimum flow reliability according to the user-defined reliability threshold θ (such as the default 90%) to output the decision of water meter management, such as outputting the "decision available" label when the reliability ≥ θ, outputting the "reference available" label when 70% ≤ reliability < θ, and outputting the "unavailable" label when the reliability < 70%.

[0144] Figure 7 is a structural schematic diagram of a device-level reliability calculation model provided by an embodiment of the present application, referring to Figure 7 For remote transmission devices, water quantity reliability can be calculated according to three scenarios, including scene 1: 0-point original data subtraction, that is, the daily 0-point whole point data (i.e., zero water scale value) of the remote transmission device is complete and the water scale value is the original reading, in which case the reliability of the remote transmission device can be determined as 100%; scene 2: non-0-point original data, that is, the daily 0-point whole point data of the remote transmission device is missing, in which case a double-factor compensation algorithm can be used to calculate the reliability of the remote transmission device, such as reliability = 0.5 × (1-data missing rate1) + 0.5 × (historical missing interval water consumption quantity / historical daily water consumption quantity); and scene 3: there is prediction data participating in the calculation, that is, there is prediction data in the water quantity data, in which case an MSE fusion algorithm can be used to calculate the reliability of the remote transmission device, such as reliability = (1-MSE) × data missing rate1 + data completeness rate1.

[0145] For non-remote transmission devices, the reliability of the non-remote transmission device can be calculated by a double-bias constraint algorithm corresponding to scene 4: manual meter reading, such as reliability = 1-[MAX(maximum positive bias, maximum negative bias) / daily average water consumption quantity].

[0146] It can be found from the above description that the water meter management method for a water supply pipe network system provided by the embodiment can reconstruct DMA leakage control logic through a credibility quantification engine, can realize decision acceleration in a data missing scenario, and can automatically output a treatment suggestion with a response time of <5s, thereby realizing the effect of changing from "not daring to make a decision" to "second-level response", solving the problem of credibility collapse of MNF and NRW, and achieving the effect of changing from "not daring to make a decision" to "second-level response", solving the problem of credibility collapse of MNF and NRW. In addition, the hardware modification cost is saved, and the management standards of different water companies are adapted, thereby providing a data-driven decision solution for smart water management.

[0147] The water meter management method for a water supply pipe network system corresponding to the above embodiment, Figure 8 is a structural block diagram of a water meter management device for a water supply pipe network system provided by an embodiment of the present application. For ease of illustration, only parts related to the embodiments of the present application are shown.

[0148] With reference to Figure 8 The device comprises:

[0149] The acquisition module 301 is configured to acquire current water quantity information of the water supply pipe network system, wherein the current water quantity information comprises first water quantity data corresponding to a port water meter, second water quantity data corresponding to a user remote water meter, and third water quantity data corresponding to a user non-remote water meter.

[0150] The first determination module 302 is configured to determine the water supply quantity credibility of the water supply pipe network system according to a water quantity scale value in the first water quantity data.

[0151] The second determination module 303 is configured to determine the water consumption quantity credibility of the water supply pipe network system according to a water quantity scale value in the second water quantity data and a water quantity scale value in the third water quantity data.

[0152] The third determination module 304 is configured to determine the production and sales difference credibility of the water supply pipe network system based on the water supply quantity credibility and the water consumption quantity credibility, so that the water supply pipe network system performs water meter management according to the production and sales difference credibility.

[0153] The embodiment provides a water meter management device for a water supply network system, which comprises a obtaining module configured to obtain current water quantity information of the water supply network system, wherein the current water quantity information comprises first water quantity data corresponding to a port water meter, second water quantity data corresponding to a user remote water meter and third water quantity data corresponding to a user non-remote water meter; a first determining module configured to determine water supply quantity credibility of the water supply network system according to a water quantity scale value in the first water quantity data; a second determining module configured to determine water consumption quantity credibility of the water supply network system according to a water quantity scale value in the second water quantity data and a water quantity scale value in the third water quantity data; and a third determining module configured to determine production and marketing difference credibility of the water supply network system based on the water supply quantity credibility and the water consumption quantity credibility, so that the water supply network system performs water meter management according to the production and marketing difference credibility. By means of the device, the water supply quantity credibility of the water supply network system is determined according to the water quantity scale value in the first water quantity data, and the water consumption quantity credibility of the water supply network system is determined according to the water quantity scale value in the second water quantity data and the water quantity scale value in the third water quantity data, so that the production and marketing difference credibility of the water supply network system can be accurately determined, and the water supply network system can accurately determine whether the water meter needs to be managed according to the production and marketing difference credibility, thereby reducing the risk of delayed repair of the water meter.

[0154] Optionally, the number of the port water meters is multiple, and the port water meters are arranged at ports of independent metering areas in the water supply network system, and the user remote water meter and the user non-remote water meter are arranged in the internal area of the independent metering area.

[0155] The first determining module comprises:

[0156] The first calculating unit is configured to calculate first water quantity credibility of each port water meter according to whether the water quantity scale value in the first water quantity data of each port water meter is the water quantity scale value originally collected by the port water meter.

[0157] The second calculating unit is configured to calculate a first influence weight of each port water meter according to historical water quantity data of each port water meter and daily total water supply quantity of the independent metering area corresponding to each port water meter.

[0158] The determining unit is configured to determine the water supply quantity credibility of the water supply network system based on the first water quantity credibility and the first influence weight of each port water meter.

[0159] Optionally, the first calculating unit is specifically configured to:

[0160] In the case that the water quantity scale value corresponding to each port water meter is the water quantity scale value originally collected by the port water meter, it is detected whether the first water quantity data of each port water meter comprises a zero point water quantity scale value, wherein the zero point water quantity scale value is the water quantity scale value collected by each port water meter at a zero point moment.

[0161] If it is detected that the first water quantity data of each port water meter contains a zero water quantity scale value, the first water quantity credibility of each port water meter is determined to be 100%;

[0162] If it is detected that the first water quantity data of each port water meter does not contain a zero water quantity scale value, the first data missing rate and the historical missing interval water quantity of the first water quantity data of each port water meter are calculated respectively; and according to the first data missing rate and the historical missing interval water quantity corresponding to each port water meter, the first water quantity credibility of each port water meter is calculated.

[0163] Optionally, the first calculation unit is specifically configured to:

[0164] In the case that the water quantity scale values corresponding to each port water meter are not all original water quantity scale values collected by the port water meter, the first data missing rate of the first water quantity data of each port water meter is calculated, wherein the first data missing rate is a quotient between a first data missing number and a preset collection number, the first data missing number is a number of missing water quantity scale values between the zero water quantity scale value and the last time water quantity scale value in the first water quantity data of each port water meter, and the preset collection number is a number of water quantity scale values that should be collected in a day according to a collection interval;

[0165] According to the predicted water quantity scale value in the first water quantity data of each port water meter and the historical water quantity scale value of each port water meter, the mean square error value of the first water quantity data of each port water meter is calculated, wherein the predicted water quantity scale value is a water quantity scale value predicted by the prediction model for the abnormal data in the first water quantity data of each port water meter, and the predicted water quantity scale value and the historical water quantity scale value are water quantity scale values collected at the same time on different days by each port water meter;

[0166] Based on the first data missing rate and the mean square error value corresponding to each port water meter, the first water quantity credibility of each port water meter is calculated.

[0167] Optionally, the historical water quantity data includes a plurality of historical water consumptions in a preset historical time interval and with the same target week value as the first water quantity data, and the target week value is a week value corresponding to the first water quantity data.

[0168] The second calculation unit is specifically configured to:

[0169] The historical daily average water consumption of the plurality of historical water consumptions in the historical water quantity data is calculated.

[0170] The quotient of the historical daily average water consumption and the daily average total water supply quantity is determined as the first influence weight of each port water meter.

[0171] Optionally, the second determination module is specifically configured to:

[0172] According to whether the water quantity scale values in the second water quantity data are all original water quantity scale values collected by the user remote water meter, a second water quantity credibility of the user remote water meter is calculated;

[0173] Based on the water quantity scale values in the third water quantity data, a current daily average water consumption corresponding to the third water quantity data is calculated;

[0174] Based on the current daily average water consumption, the maximum daily average threshold and the minimum daily average threshold, a third water quantity credibility of the user non-remote water meter is calculated;

[0175] According to the historical water quantity data of the user remote water meter and the daily average total water consumption of the independent metering area corresponding to the user remote water meter, a second influence weight of the user remote water meter is calculated, and according to the historical water quantity data of the user non-remote water meter and the daily average total water consumption of the independent metering area corresponding to the user non-remote water meter, a third influence weight of the user non-remote water meter is calculated;

[0176] According to the second water quantity credibility and the second influence weight of the user remote water meter, and the third water quantity credibility and the third influence weight of the user non-remote water meter, a water consumption credibility of the water supply network system is calculated.

[0177] Optionally, the number of port water meters is multiple, and the water meter management device for the water supply network system provided in the embodiment further comprises:

[0178] The first calculation module is configured to, after obtaining the current water quantity information of the water supply network system, calculate a second data missing rate of each port water meter based on the first water quantity data of each port water meter in the multiple port water meters, wherein the second data missing rate is a quotient between a second data missing number and a preset collection number, the second data missing number is a number of missing water quantity scale values in a number of water quantity scale values that should be collected in a day according to a collection interval, and the preset collection number is a number of water quantity scale values that should be collected in a day according to the collection interval;

[0179] The second calculation module is configured to calculate a mean square error value of the first water quantity data of each port water meter according to the predicted water quantity scale value in the first water quantity data of each port water meter and the historical water quantity scale value of each port water meter;

[0180] The third calculation module is configured to calculate an instantaneous flow credibility of each port water meter based on the second data missing rate and the mean square error value corresponding to each port water meter;

[0181] The fourth calculation module is configured to calculate a minimum flow credibility of the water supply network system based on the instantaneous flow credibility of each port water meter, so that the water supply network system manages the water meter supply pipeline according to the minimum flow credibility.

[0182] It should be noted that the information interaction, execution process and the like between the above apparatuses / units are based on the same concept as the method embodiments of the present application, and the specific functions and the brought technical effects can be referred to the method embodiments part, which will not be repeated here.

[0183] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is exemplified, and in actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to complete all or part of the above-described functions. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of software functional unit. In addition, the specific names of each functional unit and module are only for easy distinction, and do not limit the protection scope of the present application. The specific working process of the unit and module in the system can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0184] Figure 9 is a structural schematic diagram of a terminal device provided by an embodiment of the present application, as shown in Figure 9 The terminal device 500 of the embodiment includes at least one processor 502 (only one processor is shown in Figure 9 The memory 501 and the computer program 503 stored in the memory 501 and executable on the at least one processor 502, and the processor 502 implements the steps in the control method embodiments of any of the above-mentioned application programs when executing the computer program 503.

[0185] The terminal device 500 can be a desktop computer, a notebook computer, a palm computer and a cloud server, etc. The terminal device can include, but is not limited to, the processor 502, the memory 501. Those skilled in the art can understand that Figure 9 The terminal device 500 is only an example and does not constitute a limitation, and can include more or fewer components than shown, or combine certain components, or different components, for example, it can also include input / output devices, network access devices, etc.

[0186] The processor 502 can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0187] The memory 501 can be an internal storage unit of the terminal device 500 in some embodiments, for example, a hard disk or a memory of the terminal device 500. The memory 501 can also be an external storage device of the terminal device 500 in other embodiments, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 500. Further, the memory 501 can include both an internal storage unit and an external storage device of the terminal device 500. The memory 501 is used to store an operating system, application programs, a boot loader, data and other programs, for example, program codes of computer programs, etc. The memory 501 can also be used to temporarily store data that has been output or will be output.

[0188] The embodiments of the present application further provide a computer readable storage medium, which stores a computer program. The computer program is executed by the processor 502 to implement the steps in the above-mentioned various method embodiments.

[0189] The embodiments of the present application provide a computer program product. When the computer program product is run on a terminal device, the terminal device can implement the steps in the above-mentioned various method embodiments.

[0190] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by the processor 502, the steps of each method embodiment described above can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms. The computer readable storage medium at least includes any entity or device capable of carrying the computer program code to the apparatus / terminal device, recording medium, computer memory, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, U disk, mobile hard disk, magnetic disk or optical disk, etc. In some jurisdictions, according to legislation and patent practice, the computer readable storage medium can not be an electrical carrier signal and a telecommunication signal.

[0191] In the above embodiments, the description of each embodiment has its own focus, and the parts not described or recorded in detail in a certain embodiment can be referred to the related description of other embodiments.

[0192] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0193] In the embodiments provided in the present application, it should be understood that the disclosed apparatus / terminal device and method can be implemented in other ways. For example, the apparatus / terminal device embodiments described above are only schematic, and the division of the modules or units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed mutual elements can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0194] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may also be distributed to multiple network units. Part or all of the units can be selected to achieve the purpose of the embodiment scheme according to actual needs.

[0195] The above embodiments are only used to illustrate the technical solutions of the present application, but not limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for managing water meters in a water supply network system, characterized in that, include: Obtain the current water volume information of the water supply network system, wherein the current water volume information includes the first water volume data corresponding to the port water meter, the second water volume data corresponding to the user remote water meter, and the third water volume data corresponding to the user non-remote water meter; The reliability of the water supply volume of the water supply network system is determined based on the water volume scale value in the first water volume data. The reliability of water consumption in the water supply network system is determined based on the water volume scale values ​​in the second and third water volume data. Based on the reliability of the water supply volume and the reliability of the water consumption, the reliability of the production-sales difference of the water supply network system is determined so that the water supply network system can manage water meters according to the reliability of the production-sales difference. The number of port water meters is multiple, and the port water meters are configured at the ports of independent metering areas in the water supply network system. The user remote water meters and the user non-remote water meters are configured within the areas of the independent metering areas. Determining the water supply reliability of the water supply network system based on the water volume scale values ​​in the first water volume data includes: calculating the first water volume reliability of each port water meter based on whether the water volume scale values ​​in the first water volume data of each of the multiple port water meters are the original water volume scale values ​​collected by the port water meter; calculating the first influence weight of each port water meter based on the historical water volume data of each port water meter and the average daily total water supply of the independent metering area corresponding to each port water meter; and determining the water supply reliability of the water supply network system based on the first water volume reliability and the first influence weight of each port water meter. The step of determining the water consumption reliability of the water supply network system based on the water consumption scale values ​​in the second and third water consumption data includes: calculating the second water consumption reliability of the user's remote water meter based on whether all the water consumption scale values ​​in the second water consumption data are original water consumption scale values ​​collected by the user's remote water meter; calculating the current daily average water consumption corresponding to the third water consumption data based on the water consumption scale values ​​in the third water consumption data; and calculating the third water consumption reliability of the user's non-remote water meter based on the current daily average water consumption, the maximum daily average threshold, and the minimum daily average threshold. Based on the historical water volume data of the user's remote water meter and the average daily total water consumption of the independent metering area corresponding to the user's remote water meter, a second influence weight of the user's remote water meter is calculated. Based on the historical water volume data of the user's non-remote water meter and the average daily total water consumption of the independent metering area corresponding to the user's non-remote water meter, a third influence weight of the user's non-remote water meter is calculated. Based on the second water volume reliability and the second influence weight of the user's remote water meter, and the third water volume reliability and the third influence weight of the user's non-remote water meter, the water consumption reliability of the water supply network system is calculated.

2. The water meter management method for a water supply network system as described in claim 1, characterized in that, The step of calculating the reliability of the first water volume of each of the multiple port water meters based on whether the water volume scale value in the first water volume data of each of the multiple port water meters is the original water volume scale value collected by the port water meter includes: When the water volume scale value corresponding to each of the port water meters is the original water volume scale value collected by the port water meter, it is detected whether the first water volume data of each of the port water meters includes a zero-point water volume scale value, wherein the zero-point water volume scale value is the water volume scale value collected by each of the port water meters at the zero point. If the first water volume data of each of the aforementioned port water meters is detected to contain the zero-point water volume scale value, then the reliability of the first water volume of each of the aforementioned port water meters is determined to be 100%. If it is detected that the first water volume data of each of the aforementioned port water meters does not include the zero-point water volume scale value, then the first data missing rate and the historical missing interval water consumption of the first water volume data of each of the aforementioned port water meters are calculated respectively; based on the first data missing rate and the historical missing interval water consumption corresponding to each of the aforementioned port water meters, the reliability of the first water volume of each of the aforementioned port water meters is calculated. Wherein, the first data missing rate is the quotient between the number of missing first data and the preset number of collections, the number of missing first data is the number of missing water scale values ​​between the zero-point water scale value and the last water scale value in the first water volume data of each port water meter, and the preset number of collections is the number of water scale values ​​that should be collected in a day according to the collection interval.

3. The water meter management method for a water supply network system as described in claim 1, characterized in that, The step of calculating the reliability of the first water volume of each of the multiple port water meters based on whether the water volume scale value in the first water volume data of each of the multiple port water meters is the original water volume scale value collected by the port water meter includes: If the water volume scale value corresponding to each of the port water meters is not the original water volume scale value collected by the port water meter, calculate the first data missing rate of the first water volume data of each of the port water meters; Based on the predicted water volume scale value in the first water volume data of each of the port water meters and the historical water volume scale value of each of the port water meters, the mean square error value of the first water volume data of each of the port water meters is calculated. The predicted water volume scale value is the water volume scale value predicted by the prediction model for the abnormal data in the first water volume data of each of the port water meters. The predicted water volume scale value and the historical water volume scale value are the water volume scale values ​​collected by each of the port water meters at the same time on different days, respectively. Based on the first data missing rate and the mean square error value corresponding to each of the port water meters, the first water volume reliability of each of the port water meters is calculated.

4. The water meter management method for a water supply network system as described in claim 1, characterized in that, The historical water volume data includes multiple historical water volumes that are the same as the target week value within a preset historical time interval, and the target week value is the week value corresponding to the first water volume data. The step of calculating the first influence weight of each port water meter based on the historical water volume data of each port water meter and the average daily total water supply of the independent metering area corresponding to each port water meter includes: Calculate the historical average daily water consumption of the multiple historical water consumption data; The quotient of the historical average daily water consumption and the average daily total water supply is determined as the first influence weight of each of the port water meters.

5. The water meter management method for a water supply network system as described in any one of claims 1-4, characterized in that, The number of water meters at the ports is multiple. After obtaining the current water volume information of the water supply network system, the method further includes: Based on the first water volume data of each of the multiple port water meters, a second data missing rate is calculated for each of the port water meters. The second data missing rate is the quotient between the number of missing second data and the preset number of collections. The number of missing second data is the number of missing water volume scale values ​​in the number of water volume scale values ​​to be collected in a day based on the collection interval. The preset number of collections is the number of water volume scale values ​​to be collected in a day based on the collection interval. The mean square error of the first water volume data of each port water meter is calculated based on the predicted water volume scale value in the first water volume data of each port water meter and the historical water volume scale value of each port water meter. Based on the second data missing rate and the mean square error value corresponding to each of the port water meters, the instantaneous flow confidence of each of the port water meters is calculated; Based on the instantaneous flow confidence of each of the aforementioned port water meters, the minimum flow confidence of the water supply network system is calculated, so that the water supply network system can manage the water meter water supply pipeline according to the minimum flow confidence.

6. A water meter management device for a water supply network system, characterized in that, include: The acquisition module is used to acquire the current water volume information of the water supply network system, wherein the current water volume information includes the first water volume data corresponding to the port water meter, the second water volume data corresponding to the user remote water meter, and the third water volume data corresponding to the user non-remote water meter. The first determining module is used to determine the reliability of the water supply volume of the water supply network system based on the water volume scale value in the first water volume data. The second determining module is used to determine the reliability of the water consumption of the water supply network system based on the water consumption scale value in the second water consumption data and the water consumption scale value in the third water consumption data. The third determining module is used to determine the production-sales difference reliability of the water supply network system based on the reliability of the water supply volume and the reliability of the water consumption, so that the water supply network system can manage water meters according to the reliability of the production-sales difference. The number of port water meters is multiple, and the port water meters are configured at the ports of independent metering areas in the water supply network system. The user remote water meters and the user non-remote water meters are configured within the areas of the independent metering areas; the first determining module includes: The first calculation unit is used to calculate the reliability of the first water volume of each of the multiple port water meters based on whether the water volume scale value in the first water volume data of each of the port water meters is the original water volume scale value collected by the port water meter. The second calculation unit is used to calculate the first influence weight of each port water meter based on the historical water volume data of each port water meter and the average daily total water supply of the independent metering area corresponding to each port water meter. The determining unit is used to determine the water supply reliability of the water supply network system based on the first water volume reliability and the first influence weight of each of the port water meters. The second determining module is specifically used for: calculating the second water volume reliability of the user's remote water meter based on whether all water volume scale values ​​in the second water volume data are original water volume scale values ​​collected by the user's remote water meter; calculating the current average daily water consumption corresponding to the third water volume data based on the water volume scale values ​​in the third water volume data; calculating the third water volume reliability of the user's non-remote water meter based on the current average daily water consumption, the maximum average daily threshold, and the minimum average daily threshold; calculating the second influence weight of the user's remote water meter based on the historical water volume data of the user's remote water meter and the average daily total water consumption of the independent metering area corresponding to the user's remote water meter; and calculating the third influence weight of the user's non-remote water meter based on the historical water volume data of the user's non-remote water meter and the average daily total water consumption of the independent metering area corresponding to the user's non-remote water meter; and calculating the water consumption reliability of the water supply network system based on the second water volume reliability and the second influence weight of the user's remote water meter, and the third water volume reliability and the third influence weight of the user's non-remote water meter.

7. A terminal device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it causes the terminal device to implement the method as described in any one of claims 1-5.

8. A computer program product, characterized in that, When the computer program product is run on a terminal device, it causes the terminal device to perform the method as described in any one of claims 1-5.

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