Digital processing method for water supply system user water cut-off alarm

Abstract

The invention discloses a digital processing method for water supply system user water cut-off alarm, relates to the technical field of water supply systems, and solves the problem that whether a water leakage condition exists in a corresponding water supply system or not cannot be recognized without further analysis and processing. Standard intervals of different water use periods are scientifically calculated by means of the mean value and the standard deviation; in mass water consumption data, as a precise'scale 'is set, abnormal water consumption data is efficiently screened out, the possibility of misjudgment is greatly reduced, operation and maintenance personnel can focus on real potential problem nodes, troubleshooting time and labor cost are saved, the smoothness of'veins' of a water supply system is guaranteed, and according to deep analysis of a time period and a water consumption data change curve, the accuracy of water consumption data change is improved. A water flow descending rule is excavated, continuous descending sections and corresponding duration characteristics are identified, and standard nodes are accurately calibrated; the line-to-network troubleshooting logic is that points are used for carrying surfaces, and the line-to-network troubleshooting logic is adopted.

Description

Technical Field

[0001] The invention relates to the technical field of water supply systems, and in particular to a digital processing method for water supply system user water outage alarm. Background Art

[0002] People's daily lives are inseparable from water. The water supply system ensures that residents can easily and safely obtain water for drinking, washing, cooking, cleaning, etc. to maintain a normal life order. Industrial production, agricultural irrigation, commercial operations, etc. all require a large amount of water. The water supply system provides the necessary water source guarantee for these production activities and is an important infrastructure for promoting economic development.

[0003] The application with publication number CN104766173B discloses a digital processing method for water supply system user water outage alarm, which relates to the field of water supply management system; the digital water supply management system is composed of an office service management platform and a safety production management platform, and the office service management platform and the safety production management platform are connected through a virtual private network VPN and call data from each other; the safety production management platform includes a video and infrared monitoring system, a water plant automation system, a pipe network geographic information system, a GPS pipeline inspection system, an online water quality monitoring system and a pipe network data monitoring system; the office service management platform includes a voice service system, a website query payment system, a business fee system and an office automation system. The present invention can enable data to be exchanged, shared and integrated between systems, realize information sharing, and conduct comprehensive automated management of water supply enterprises.

[0004] The relevant data of water consumption of corresponding users in its water supply system are all under real-time monitoring. During the real-time monitoring process, only the water consumption characteristics of the corresponding users are simply identified. There are different water consumption characteristics in certain characteristic time periods, but when there are abnormal water consumption characteristics, no further analysis and processing are carried out, and it is impossible to identify whether there is a water leak in the corresponding water supply system, so as to take timely relevant actions to stop the water supply and alarm, and maintain the leaking points of the pipeline in time. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a digital processing method for water supply system user water outage alarm, which solves the problem that it is impossible to identify whether there is a water leakage in the corresponding water supply system without further analysis and processing.

[0006] To achieve the above purpose, the present invention is implemented by the following technical scheme: a digital processing method for water supply system user water outage alarm, comprising the following steps: Step 1: Define the monitoring period, monitor the unit water supply of the water supply system per unit time within the monitoring period, and divide the time period within the monitoring period into peak water use period, normal water use period and low peak water use period based on the specific values ​​monitored. The specific sub-steps are as follows: S11. Define a set of monitoring periods T, where T is a preset value, monitor the unit water supply generated per unit time within the monitoring period T, and calibrate it as GS i , where i represents different moments; S12, the unit water supply GS monitored at the current moment i Verify with the preset values ​​Y1 and Y2, where Y1 and Y2 are both preset values ​​and Y1<Y2. When GS i > Y2, the current time is marked as the peak water consumption time. When Y1 < GS i ≤Y2, the current time is marked as the normal water use time. i When ≤Y1, the current time is marked as the low-peak water consumption time; S13, confirm the time periods of the consecutive water use moments of the same type, mark the consecutive peak water use moments as the peak water use period, mark the consecutive normal water use moments as the normal water use period, and mark the consecutive low-peak water use moments as the low-peak water use period; Step 2: For different water consumption data associated with different water consumption nodes in different water consumption periods within this monitoring period, confirm the standard interval associated with the corresponding water consumption node. The specific method is as follows: S21, average the water consumption data generated by the corresponding water consumption node during the peak water consumption period, and determine the associated mean value Jz i-k Then, several groups of water consumption data generated by the corresponding nodes during the peak water consumption period are processed by standard deviation to confirm the associated standard value Bz i-k , where i represents different water use nodes, k represents different water use periods, and different water use periods include peak water use period, normal water use period and low peak water use period. Based on the correlation mean Jz corresponding to this water use node during the peak water use period i-k and the associated standard value Bz i-k , confirm the standard interval associated with this water consumption node during this peak water consumption period [Jz i-k -kBz i-k , Jz i-k +kB i-k ], where k is the preset correlation coefficient; S22, using the same method as step S21, the standard intervals generated by this water-using node in the low-peak water-using period and the normal water-using period are confirmed in turn, and the confirmed standard intervals are stored and recorded, and then the water-using data of other water-using nodes in the time period associated with the corresponding water-using period are analyzed, and the corresponding standard intervals are confirmed and recorded synchronously; Step 3: Based on the standard intervals confirmed by the corresponding water-using nodes in different water-using periods, determine the abnormal moments existing in the specified water-using nodes within the monitoring period, and based on the determined abnormal moments, lock a set of time periods, analyze the water-using data of subsequent water-using nodes within this time period, identify whether there is a water leakage risk in this water supply system and generate a water leakage investigation signal. The specific method is as follows: S31, based on the corresponding standard intervals confirmed by the corresponding water use nodes in different water use periods, the different water use data YD associated with the corresponding water use nodes in the corresponding water use periods are i-q Verify with the standard interval, where i represents different water consumption nodes and q represents different moments. i-q ∈ standard interval water consumption data will not be processed in any way. i-q ∉The water consumption time in the standard interval is marked as the abnormal time, and the marked continuous abnormal time is confirmed as the time period, and the continuous abnormal time is marked as the abnormal time period Ys; S32. Based on the determined initial time Cs of the abnormal time period Ys, which is also the abnormal time, a set of time periods [Cs, Cs+3Ys] is determined. Based on the determined time period, the water use data generated by other water use nodes adjacent to the water use node are confirmed. The confirmed water use data is the water use data associated with the time period. Based on the different water use data associated with the adjacent water use nodes at different times in the time period, a water use data change curve of the corresponding water use node is generated. S33, and identify the descending section in the water use data change curve, determine the water use change data BH of the adjacent points from the water use data change curve, where BH=YS2-YS1, where YS2 represents the water use data of the latter group of points in the adjacent points, and YS1 represents the water use data of the former group of points in the adjacent points, mark the part of the curve segment between the adjacent points as the change segment, and sort the different water use change data BH confirmed by different change segments according to the time sequence, and confirm the BH sequence; S34, identifying the numerical values ​​of adjacent BHs in the BH sequence, and in the adjacent BHs: if the latter group of BHs is smaller than the former group of BHs, the change segment associated with the latter group of BHs is marked as a descending segment, otherwise, no marking is performed; S35, identifying the continuous descending segments in the water consumption data change curve, and confirming the descending duration SC associated with the corresponding continuous descending segments based on the initial time and the end time associated with the corresponding continuous descending segments; S36, based on the abnormal time period Ys marked by the water-using node, other water-using nodes adjacent to the water-using node are proposed as nodes to be checked, and from the several groups of falling time lengths SC confirmed by each node to be checked: if one or more groups of SCs among the several groups of SCs associated with the node to be checked are equal to Ys, then the node to be checked is marked as a standard node; If there is no SC equal to Ys, no calibration is performed on the node to be checked; If the nodes to be checked associated with the water-using node are all standard nodes, a water leakage detection signal is generated and a water leakage detection process is performed; Step 4: Based on the generated water leakage detection signal, the flow data at the inlet and outlet of different water supply pipes in the water supply system are monitored, and based on the specific results of real-time monitoring, the leaking pipe is locked and the water supply is stopped and an alarm is processed. The specific sub-steps are: S41. Based on the confirmed water leakage detection signal, the inlet flow and outlet flow of each water supply pipeline are monitored in real time, and the inlet flow of each water supply pipeline and the associated outlet flow are identified to be consistent. The inlet flow of the water supply pipeline is calibrated in real time as RKo, where o represents different water supply pipelines. The outlet flow of several outlets of the water supply pipeline at the corresponding time is then monitored, and the total outlet flow RCo is determined; S42. Identify whether the inlet flow RKo and the total outlet flow RCo are consistent. If they are consistent, it means that there is no abnormality in the water supply pipeline. If they are inconsistent, it means that there is an abnormality in the water supply pipeline, and the water supply pipeline is marked as a leaking pipeline for external personnel to check. When external personnel need to perform maintenance, the water supply alarm will be processed.

[0007] The present invention provides a digital processing method for water supply system user water outage alarm. Compared with the prior art, it has the following beneficial effects: The present invention limits the monitoring cycle and strictly divides the peak, normal and low-peak water use periods according to different preset values, fully considering the complexity and dynamics of water use patterns; this fine division breaks away from the limitations of traditional extensive management and can accurately capture the water use characteristics of each period; For each node of the water supply pipeline, the mean and standard deviation are used to scientifically calculate the standard intervals of different water use periods. In the massive water use data, it is like setting a precise "ruler" to efficiently filter out abnormal water use data, greatly reducing the possibility of misjudgment, allowing operation and maintenance personnel to focus on the real potential problem nodes, saving troubleshooting time and labor costs, and ensuring the smooth "veins" of the water supply system; Innovatively utilize the correlation of flow changes between pipeline nodes, starting from a single abnormal node, and expand the investigation of surrounding water use nodes. Based on the time period and the water use data change curve, in-depth analysis is performed to explore the law of water flow decline, identify the continuous decline segment and the corresponding duration characteristics, and accurately calibrate the standard node; this "point-to-surface" and "line-to-network" investigation logic is in line with the criss-crossing characteristics of the water supply system pipeline network, and quickly identifies whether there is a risk of water leakage in the corresponding water supply system, and its identification is more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 It is a schematic diagram for determining a leaking pipeline of the present invention. DETAILED DESCRIPTION

[0009] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0010] See also Figure 1 The present application provides a digital processing method for water supply system user water outage alarm, comprising the following steps: Step 1: limit the monitoring period, monitor the unit water supply of the water supply system per unit time within the monitoring period, and divide the time period within the monitoring period into peak water use period, normal water use period and low peak water use period based on the specific values ​​monitored. Specifically, there are different assessment standards for different water use periods, so it is necessary to divide the corresponding water use periods based on the corresponding water use conditions to ensure that the intervals confirmed by the corresponding periods are more accurate. The specific sub-steps for dividing the time periods within the monitoring period are: S11. Define a set of monitoring periods T, where T is a preset value, generally 24 hours, and monitor the unit water supply generated per unit time within the monitoring period T (value monitoring is performed by a specific monitoring sensor) and calibrate it as GS i , where i represents different moments; S12, the unit water supply GS monitored at the current moment i Check with the preset values ​​Y1 and Y2, where Y1 and Y2 are preset values, and their specific values ​​are determined by the operator based on experience, and Y1<Y2, when GS i > Y2, the current time is marked as the peak water consumption time. When Y1 < GS i ≤Y2, the current time is marked as the normal water use time.i When ≤Y1, the current time is marked as the low-peak water consumption time; S13, confirm the time periods of the same type of water use moments that appear continuously (the so-called same type refers to different time periods of peak water use, normal water use and low-peak water use), mark the consecutive peak water use moments as peak water use periods, mark the consecutive normal water use moments as normal water use periods, mark the consecutive low-peak water use moments as low-peak water use periods, and confirm the corresponding water use periods for several moments associated within this monitoring cycle, and mark the corresponding water use periods after confirmation, so as to complete the specific evaluation process of the corresponding values, identify whether there is a water leakage, and issue a water stop alarm in advance; Step 2: for different water use data associated with different water use nodes in different water use periods within this monitoring period, confirm the standard interval associated with the corresponding water use node. Specifically, the water use node is a pipeline node. At the corresponding pipeline node position, a corresponding flow monitoring sensor is provided to monitor the water use flow of the water use node. The specific sub-steps for confirming the standard interval associated with the corresponding water use node are as follows: S21. Perform mean processing on the water consumption data generated by the corresponding water consumption node during the peak water consumption period (the water consumption data is the flow data per unit time. Only when there is water consumption, flow will be generated. Under normal circumstances, no water consumption flow will be generated, so it is referred to as water consumption data here), and confirm the associated mean Jz i-k Then, several groups of water consumption data generated by the corresponding nodes during the peak water consumption period are processed by standard deviation to confirm the associated standard value Bz i-k , where i represents different water consumption nodes, k represents different water consumption periods, and different water consumption periods include peak water consumption period, normal water consumption period and low peak water consumption period. Several groups of water consumption data generated by corresponding nodes in corresponding water consumption periods are proposed as: Bz1, Bz2, …, Bzn, where the determined mean is Jz, and the Confirm the standard deviation Bz of several groups of water use data i-k , based on the correlation mean Jz corresponding to this water consumption node during the peak water consumption period i-k and the associated standard value Bz i-k , confirm the standard interval associated with this water consumption node during this peak water consumption period [Jz i-k -kBz i-k , Jz i-k +kB i-k ], where k is the preset correlation coefficient, which is a positive integer, usually 2 or 3; S22, using the same method as step S21, the standard intervals generated by this water-using node in the low-peak water-using period and the normal water-using period are confirmed in turn, and the confirmed standard intervals are stored and recorded, and then the water-using data of other water-using nodes in the time period associated with the corresponding water-using period are analyzed, and the corresponding standard intervals are confirmed and recorded synchronously; Specifically, in the water supply system, there are a large number of water supply pipes, and corresponding monitoring sensors are arranged at the designated node positions of each water supply pipe. The associated pipe nodes at the positions of each group of monitoring sensors are calibrated as water use nodes, and the water use nodes all have corresponding water use conditions. However, when there is water use data, the corresponding sensor can monitor the relevant data, thereby generating water use data of the corresponding water use node. After the water use data is analyzed and processed, the standard interval associated with the corresponding water use node can be locked. Subsequently, the water use data is calibrated and confirmed based on this standard interval, and its water use data is identified to identify whether there is corresponding abnormal data, and the corresponding abnormal time is recorded. There is a high probability of water leakage or other water use conditions in the abnormal time. Step 3: Based on the standard intervals confirmed by the corresponding water-using nodes in different water-using periods, determine the abnormal moments existing in the designated water-using nodes within the monitoring period, and based on the determined abnormal moments, lock a set of time periods, analyze the water-using data of the subsequent water-using nodes within this time period, identify whether there is a risk of leakage in the water supply system, and generate a leakage investigation signal. Specifically, if the water flow rate suddenly drops at the front-end node, the specific water-using nodes that follow it will also experience the same flow rate changes synchronously, that is, the time period and time characteristics that appear should be relatively consistent. Then, this way of changing the pipeline flow characteristics can be used to quickly lock whether the corresponding water supply system is supplying water normally, and quickly lock whether there is leakage or other situations. The specific sub-steps for identification are: S31, based on the corresponding standard intervals confirmed by the corresponding water use nodes in different water use periods, the different water use data YD associated with the corresponding water use nodes in the corresponding water use periods are i-q Verify with the standard interval, where i represents different water consumption nodes and q represents different moments. i-q ∈ standard interval water consumption data will not be processed in any way. i-q ∉The water consumption time in the standard interval is marked as the abnormal time, and the marked continuous abnormal time is confirmed as the time period, and the continuous abnormal time is marked as the abnormal time period Ys; S32. Based on the initial time Cs of the determined abnormal time period Ys, which is also the abnormal time, a set of time periods [Cs, Cs+3Ys] is determined. For example, if the proposed initial time is 14:50, and the confirmed abnormal time period lasts for 10 minutes, then the corresponding time period is [14:50, 14:50+30min], which is changed to: [14:50, 15:20]. Based on the determined time period, the water use data generated by other water use nodes adjacent to this water use node (that is, the water use node associated with the abnormal time period) is confirmed. The confirmed water use data is the water use data associated with the time period. Based on the different water use data associated with the adjacent water use nodes at different times in the time period, a water use data change curve of the corresponding water use node is generated. S33, and identify the descending section in the water use data change curve, determine the water use change data BH of the adjacent points from the water use data change curve, where BH=YS2-YS1, where YS2 represents the water use data of the latter group of points in the adjacent points, and YS1 represents the water use data of the former group of points in the adjacent points, mark some curve sections between the adjacent points as change sections, and sort the different water use change data BH confirmed by different change sections according to the time sequence, and confirm the BH sequence (each change section appears in sequence in the corresponding curve, so the time relationship associated with the corresponding change section can be determined, thereby confirming the associated BH sequence); S34, identifying the numerical values ​​of adjacent BHs in the BH sequence, and in the adjacent BHs: if the latter group of BHs is smaller than the former group of BHs, the change segment associated with the latter group of BHs is marked as a descending segment, otherwise, no marking is performed; S35, identifying the continuously appearing descending segments in the water consumption data variation curve (that is, the descending segments continue to appear without interruption as time goes by), and confirming the descending duration SC associated with the corresponding continuous descending segments based on the initial time and the end time associated with the corresponding continuous descending segments; S36. Based on the abnormal time period Ys marked by the water-using node, other water-using nodes adjacent to the water-using node are planned to be checked nodes. From the several groups of decline time lengths SC confirmed by each of the nodes to be checked: if one or more groups of SC in the several groups of SC associated with the node to be checked are equal to Ys, then the node to be checked is marked as a standard node. Specifically, when there is a water leakage, the corresponding node is specifically affected by such water leakage, so that a related abnormal time period occurs. Each time a group of abnormal time period is generated, numerical processing is required to confirm the water leakage investigation signal. Once there is a water leakage somewhere, the water-using nodes associated with the surrounding areas will synchronously experience a water flow decline. Therefore, the standard node can be confirmed for the check node to identify whether there is a water leakage and to deal with it in a timely manner. If there is no SC equal to Ys, no calibration is performed on the node to be checked; If the nodes to be checked associated with the water-using node are all standard nodes, a water leakage detection signal is generated and a water leakage detection process is performed; Step 4: Based on the generated water leakage detection signal, the flow data at the inlet and outlet of different water supply pipes in the water supply system are monitored, and based on the specific results of real-time monitoring, the leaking pipe is locked and the water supply is stopped and an alarm is processed. The specific sub-steps of locking the leaking pipe are: S41, Combination Figure 2 , based on the confirmed water leakage detection signal, the inlet flow and outlet flow of each water supply pipe are monitored in real time (the monitored values ​​are collected by the designated sensor), and the inlet flow of each water supply pipe and the associated outlet flow are identified to be consistent (specifically, when there is no water use, the normal outlet flow should be 0, and only when there is water use, the flow sensor at the corresponding outlet will monitor the corresponding flow value), and the inlet flow of the water supply pipe is calibrated in real time as RKo, where o represents different water supply pipes, and then the outlet flow of several outlets of the water supply pipe at the corresponding time is monitored, and the total outlet flow RCo is determined; S42, identifying whether the inlet flow RKo and the total outlet flow RCo are consistent. If they are consistent, it means that there is no abnormality in the water supply pipeline. If they are inconsistent, it means that there is an abnormality in the water supply pipeline, and the water supply pipeline is marked as a leaking pipeline for external personnel to check. When external personnel need to perform maintenance, the water supply pipeline is stopped and an alarm is issued; Specifically, during normal processing, the water supply pipe is always full of water. However, when there is abnormal water flow fluctuation or water leakage at a certain outlet, the water flow monitored at the inlet and outlet will be inconsistent. When such inconsistency occurs, it is necessary to check such pipes to identify whether there are actual related problems in the corresponding pipes.

[0011] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0012] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A digital processing method for water supply system user water outage alarm, characterized in that: The following steps are involved: Step 1: Define a monitoring period, monitor the unit water supply of the water supply system per unit time within the monitoring period, and divide the time period within the monitoring period into a peak water use period, a normal water use period, and a low-peak water use period based on the specific values ​​monitored; Step 2: for different water use data associated with different water use nodes in different water use periods within this monitoring period, confirm the standard interval associated with the corresponding water use node; Step 3: Based on the standard intervals confirmed by the corresponding water-using nodes in different water-using periods, determine the abnormal moments existing in the specified water-using nodes within the monitoring period, and based on the determined abnormal moments, lock a set of time periods, analyze the water-using data of subsequent water-using nodes within this time period, identify whether there is a risk of water leakage in this water supply system, and generate a water leakage investigation signal; Step 4: Based on the generated water leakage detection signal, the flow data at the inlet and outlet of different water supply pipes in the water supply system are monitored, and based on the specific results of real-time monitoring, the leaking pipe is locked and the water supply is stopped and an alarm is issued.

2. A digital processing method for water supply system user water outage alarm according to claim 1, characterized in that: In step 1, the specific sub-steps for dividing the time periods within the monitoring cycle are: S11. Define a set of monitoring periods T, where T is a preset value, monitor the unit water supply generated per unit time within the monitoring period T, and calibrate it as GS i , where i represents different moments; S12, the unit water supply GS monitored at the current moment i Verify with the preset values ​​Y1 and Y2, where Y1 and Y2 are both preset values ​​and Y1<Y2. When GS i > Y2, the current time is marked as the peak water consumption time. When Y1 < GS i ≤Y2, the current time is marked as the normal water use time. i When ≤Y1, the current time is marked as the low-peak water consumption time; S13. Confirm the time periods of consecutive water use moments of the same type, mark the consecutive peak water use moments as the peak water use period, mark the consecutive normal water use moments as the normal water use period, and mark the consecutive low-peak water use moments as the low-peak water use period.

3. A digital processing method for water supply system user water outage alarm according to claim 1, characterized in that: In step 2, the specific method of confirming the standard interval associated with the corresponding water consumption node is: S21, average the water consumption data generated by the corresponding water consumption node during the peak water consumption period, and determine the associated mean value Jz i-k Then, several groups of water consumption data generated by the corresponding nodes during the peak water consumption period are processed by standard deviation to confirm the associated standard value Bz i-k , where i represents different water use nodes, k represents different water use periods, and different water use periods include peak water use period, normal water use period and low peak water use period. Based on the correlation mean Jz corresponding to this water use node during the peak water use period i-k and the associated standard value Bz i-k , confirm the standard interval associated with this water consumption node during this peak water consumption period [Jz i-k -kBz i-k , Jz i-k +kB i-k ], where k is the preset correlation coefficient; S22. Then, the same method as step S21 is used to confirm the standard intervals generated by this water-using node during the low-peak water-using period and the normal water-using period in turn, and the confirmed standard intervals are stored and recorded. Then, the water-using data of other water-using nodes in the time period associated with the corresponding water-using period are analyzed, and the corresponding standard intervals are confirmed and recorded simultaneously.

4. A digital processing method for water supply system user water outage alarm according to claim 1, characterized in that: In step 3, the specific method of identifying whether the water supply system has a risk of water leakage is: S31, based on the corresponding standard intervals confirmed by the corresponding water use nodes in different water use periods, the different water use data YD associated with the corresponding water use nodes in the corresponding water use periods are i-q Verify with the standard interval, where i represents different water consumption nodes and q represents different moments. i-q ∈ standard interval water consumption data will not be processed in any way. i-q ∉The water consumption time in the standard interval is marked as the abnormal time, and the marked continuous abnormal time is confirmed as the time period, and the continuous abnormal time is marked as the abnormal time period Ys; S32. Based on the determined initial time Cs of the abnormal time period Ys, which is also the abnormal time, a set of time periods [Cs, Cs+3Ys] is determined. Based on the determined time period, the water use data generated by other water use nodes adjacent to the water use node are confirmed. The confirmed water use data is the water use data associated with the time period. Based on the different water use data associated with the adjacent water use nodes at different times in the time period, a water use data change curve of the corresponding water use node is generated. S33, and identify the descending section in the water use data change curve, determine the water use change data BH of the adjacent points from the water use data change curve, where BH=YS2-YS1, where YS2 represents the water use data of the latter group of points in the adjacent points, and YS1 represents the water use data of the former group of points in the adjacent points, mark the part of the curve segment between the adjacent points as the change segment, and sort the different water use change data BH confirmed by different change segments according to the time sequence, and confirm the BH sequence; S34, identifying the numerical values ​​of adjacent BHs in the BH sequence, and in the adjacent BHs: if the latter group of BHs is smaller than the former group of BHs, then marking the change segment associated with the latter group of BHs as a descending segment; S35, identifying the continuous descending segments in the water consumption data change curve, and confirming the descending duration SC associated with the corresponding continuous descending segments based on the initial time and the end time associated with the corresponding continuous descending segments; S36, based on the abnormal time period Ys marked by the water-using node, other water-using nodes adjacent to the water-using node are proposed as nodes to be checked, and from the several groups of falling time lengths SC confirmed by each node to be checked: if one or more groups of SCs among the several groups of SCs associated with the node to be checked are equal to Ys, then the node to be checked is marked as a standard node; If there is no SC equal to Ys, no calibration is performed on the node to be checked; If the nodes to be checked associated with the water-using node are all standard nodes, a water leakage detection signal is generated and a water leakage detection process is performed.

5. A digital processing method for water supply system user water outage alarm according to claim 4, characterized in that: In the step S34, among the adjacent BHs: if the latter group of BHs ≥ the former group of BHs, no marking is performed.

6. A digital processing method for water supply system user water outage alarm according to claim 1, characterized in that: In step 4, the specific sub-steps of locking the leaking pipe are: S41. Based on the confirmed water leakage detection signal, the inlet flow and outlet flow of each water supply pipeline are monitored in real time, and the inlet flow of each water supply pipeline and the associated outlet flow are identified to be consistent. The inlet flow of the water supply pipeline is calibrated in real time as RKo, where o represents different water supply pipelines. The outlet flow of several outlets of the water supply pipeline at the corresponding time is then monitored, and the total outlet flow RCo is determined; S42. Identify whether the inlet flow RKo and the total outlet flow RCo are consistent. If they are consistent, it means that there is no abnormality in the water supply pipeline. If they are inconsistent, it means that there is an abnormality in the water supply pipeline, and the water supply pipeline is marked as a leaking pipeline for external personnel to check. When external personnel need to perform maintenance, the water supply alarm will be processed.

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