Leakage management system for water supply network

Abstract

The invention discloses a water supply pipe network leakage management system, and relates to the technical field of pipe network leakage calculation. The system comprises a master control center, and a pipe network building module, a partition module, a monitoring module, a weight distribution module, an analysis module and a leakage decision module which are in communication connection with the master control center; the main control center is used for receiving and transmitting related pipe network data of other modules of the management system; and the partitioning module is used for partitioning the pipe network plane model into a water delivery pipe region, a water distribution pipe region and a laminated region according to the distribution condition of the pipelines, and presetting the average water pressure and the average flow of each region according to the region type and the number of region users. According to the method, leakage monitoring is carried out on different areas through the three monitoring methods at the same time, the problem of a certain method in the monitoring process is avoided, weight distribution is carried out on the monitoring methods according to the pipe network distribution factors of the different areas, and the monitoring accuracy is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of pipeline network leakage calculation, and particularly relates to a water supply pipeline network leakage management system. Background Art

[0002] With the rapid development of cities, the water supply pipeline network is constantly extending and expanding. The leakage problem of the water supply pipeline network has always been a key problem that needs to be strengthened and controlled. In the management of urban water supply pipeline networks, leakage control is of great significance. The traditional leakage control method is based on passive leak detection methods, and leakage can only be discovered and repaired when it becomes visible. With the development of technology, different leak detection instruments have been gradually developed, and some listening instruments can help operators find invisible leaks. However, applying such methods to large-scale water supply pipeline networks is very labor-intensive, material-intensive, and costly.

[0003] In order to more effectively identify invisible leaks, various model-based methods have been proposed in the prior art to assist in leak identification. The core data required for model-based leak detection methods are flow and pressure data in the pipeline network model. Leak detection methods often compare the water volume of mechanical water meters with the water volume of the main water supply pipe. However, it is unrealistic to obtain all data of all nodes in the actual pipeline network. In actual use, it is often affected by the delay in meter reading. Only when users or water treatment plants find that the water consumption is too large can the leakage be discovered. Especially in the subsequent detection process, usually the branch water supply pipelines of the main water supply pipe are detected one by one, the detection workload is large, and the detection cost is extremely high.

[0004] The existing patent publication number "CN 113177691 A" discloses a pipeline network leakage analysis algorithm, which efficiently adjusts the reference quantity through the analysis and calculation of past data, and quickly adjusts according to water usage habits and seasonal changes, so as to further determine the abnormal water usage situation of the pipeline network, improve the convenience of measurement, and can initially improve the measurement accuracy of the leakage location and the detection efficiency by recording the working state of the household water meter and subsequent intermittent shutdowns, and it is convenient to combine with the pipeline network drawings for detection; however, in the above patent, the detection means for water supply pipeline network leakage are too single, which may lead to errors in the detection results. Moreover, in order to achieve uninterrupted real-time monitoring, the sensors used for monitoring need to sense the leakage situation in real time and upload it to the data server through a data transmitter. This solution has a large load during long-term operation of the equipment, high energy consumption, high requirements for the equipment, and increases the monitoring cost. Therefore, the present invention provides a water supply pipeline network leakage management system. Summary of the Invention

[0005] The object of the present invention is to provide a water supply network leakage management system, which solves the problems that the existing detection means for water supply network leakage are too single, resulting in possible errors in the detection results, and for realizing uninterrupted real-time monitoring, the sensors used for monitoring need to sense the leakage situation in real time and upload it to the data server through a data transmitter. This solution has a large load during long-term operation of the equipment, high energy consumption, high requirements for the equipment, and increases the monitoring cost.

[0006] To solve the above technical problems, the present invention is realized through the following technical solutions: The present invention is a water supply network leakage management system, including a main control center, and a pipe network construction module, a zoning module, a monitoring module, a weight distribution module, an analysis module, and a leakage decision module that are respectively established in communication connection with it; Main control center: used to receive and send relevant pipe network data of the remaining modules of the management system, and display it in real time on the centralized interface provided for the system administrator, and at the same time used to manage the operation of each module, so that the system administrator can access the data information of the management system at any time; Pipe network construction module: including leakage recording devices installed at the nodes of the water supply pipes, valve wells, and pipe sections prone to leakage in the pipe network monitoring coverage area; Zoning module: divides the pipe network plane model into a water transmission pipe area, a water distribution pipe area, and a stacked area according to the distribution of the pipelines, and presets the average water pressure and average flow of each area according to the area type and the number of area users; Monitoring module: including a noise monitoring unit, a pressure monitoring unit, and a flow monitoring unit; Weight distribution module: assigns weights to the leakage monitoring methods of each area according to the pipe network distribution factors; the pipe network distribution factors include the number of regional pipe nodes, the pipe network distribution location, and the pipe specifications; the leakage monitoring methods of each area include a sound monitoring method for monitoring the leakage sound of the pipeline by the sound monitoring unit, a pressure monitoring method for monitoring the leakage of the pipeline by the pressure monitoring unit, and a flow monitoring method monitored by the flow monitoring unit; Analysis module: used to analyze the possibility of leakage of the pipe network in each area; Leakage decision module: used to decide the specific location of the leakage, and quickly locate and calculate the leakage point according to the sound sensors installed in the pipe network.

[0007] Preferably, the leakage recording device includes a sound sensor for sensing noise and outputting a noise signal, a pressure transmitter for monitoring the change of the water supply pressure in the pipe network, and a flow sensor for monitoring the change of the water supply flow in the pipe network; a pipe network plane model is built according to the water supply pipe network and the leakage recording devices installed at various positions of the pipe network, and at the same time the pipe network plane model is input into the coordinate system, and the coordinates of the positions of each leakage recording device are obtained.

[0008] Preferably, the noise monitoring unit is used to monitor the noise generated by pipeline leakage in the pipe network through each sound sensor installed on the surface of the pipeline, and output the noise data to the analysis and selection module; the pressure monitoring unit is used to monitor the change of the internal water pressure of the pipe network through each pressure transmitter installed inside the pipe network, and output the water pressure change data to the analysis and selection module; the flow monitoring unit is used to monitor the change of the internal water supply flow of the pipe network through each flow sensor installed inside the pipeline, and output the water flow change data to the analysis and selection module.

[0009] Preferably, in the weight distribution module, the number of pipeline nodes in the area affects the weight of the pressure monitoring method for leakage monitoring. The more the number of pipeline nodes, the greater the weight of the monitoring result of the pressure monitoring method in the leakage monitoring result; the living density of users at the pipeline network distribution location in the area affects the weight of the sound monitoring method for leakage monitoring. The greater the living density of users at the pipeline network distribution location, the smaller the weight of the monitoring result of the sound monitoring method in the leakage monitoring result; the size of the pipeline specifications in the area affects the weight of the flow monitoring method for leakage monitoring. The larger the pipeline specifications, the greater the weight of the monitoring result of the flow monitoring method in the leakage monitoring result; the initial weight of the monitoring results of each monitoring method in the leakage monitoring weight distribution in the area is one-third of the leakage monitoring result.

[0010] Preferably, each monitoring method calculates the weighted leakage rate within its assigned weight based on the leakage probability obtained by monitoring in the area. The sum of the weighted leakage rates of all monitoring methods is the final pipeline network leakage probability. If the final pipeline network leakage probability exceeds the threshold, a leakage signal is immediately output to the leakage decision module.

[0011] Preferably, in the zoning module, the average water pressure and average flow of each area are preset through the system data of past water consumption. The time point with the least water consumption is determined as the benchmark, and the water pressure and flow in the pipe network at multiple same time points are monitored. The average water pressure and average flow of each area are calculated from the water pressure and flow at multiple same time points.

[0012] Preferably, in the flow monitoring unit, the daily measured flow data in the area is compared with the average flow. If the daily measured flow data continuously or suddenly significantly exceeds the average flow change threshold, the pipeline network leakage probability is estimated according to the number of days that the daily measured flow continuously exceeds the average flow, or the difference between the daily measured flow and the average flow. The greater the number of days, the greater the leakage probability, and the greater the difference, the greater the leakage probability.

[0013] Preferably, in the pressure monitoring unit, the daily measured pressure data in the area is compared with the average pressure. If the daily measured pressure data continuously or significantly is lower than the average pressure change threshold, the pipeline leakage probability is estimated according to the number of days that the daily measured pressure is continuously lower than the average pressure or the difference between the daily measured pressure and the average pressure. The greater the number of days, the greater the leakage probability; the greater the difference, the greater the leakage probability.

[0014] Preferably, the management system further includes a storage module, which is used to store the average pressure data and average flow data of each area, as well as the pipeline plane model data of each pipeline, for the system administrator to access relevant data at any time.

[0015] Preferably, the positioning calculation of the leakage point in the leakage decision module includes the following content: after the sound sensor captures the sound signal, it analyzes the signal to determine its source and characteristics. The signal attenuates during propagation, as shown in Equation (1), and the initial energy of the sound signal is calculated: (1) Where, is the initial energy of the sound signal; is the density of the signal propagation medium; is the propagation speed of the sound wave in the medium; A is the amplitude of the sound wave; At the same time, for the geometric attenuation and medium absorption attenuation of the sound signal, the attenuation of the signal sound wave is calculated as shown in Equation (2): (2) Where, is the sound wave intensity at a distance r from the sound source; is the distance from the sound source where the initial sound wave intensity; e is the geometric attenuation coefficient; is the medium absorption coefficient; x is the distance that the sound wave propagates, is the distance from the reference point to the sound source; r is the distance from the current point to the sound source; According to the calculation result of Equation (2), combined with the sound wave intensity of the received signal, the energy of the received sound signal is calculated, as shown in Equation (3): (3) Where, is the energy of the received sound signal; is the received sound wave intensity; t is the duration of the sound wave; is the effective area of the receiver; Combined with Equations (1)-(3), the sound return signal considering attenuation is obtained, as shown in Equation (4): (4) Where, is the energy of the sound return signal considering attenuation, and d is the distance from the sound source to the leakage point.

[0016] The present invention has the following beneficial effects: 1. By setting a weight distribution module, the present invention distributes the weights of the monitoring results of the three monitoring methods according to the pipe network distribution factors, improving the accuracy of the monitoring results, which is conducive to effectively monitoring the water leakage of the water supply pipe network in pipe network areas with different distribution factors. In the water transmission pipe area, due to the large pipe specifications, the water flow rate inside is large, and the flow monitoring method is more accurate for monitoring the water leakage of the water supply pipe. If there is a water leakage in the water transmission pipe area, the flow loss is obvious, and the water leakage situation can be detected quickly. In the water distribution pipe area, the location of the water distribution pipe is suitable for using the noise detection method to monitor the water leakage. The population density in the water distribution pipe area is low, which can reduce the influence of external noise on the monitoring, and the monitoring effect is better, so the weight it occupies is higher. In the stacked area, it is mainly used to provide water for users. Therefore, the stacked area is more sensitive to water pressure. Too low or too high water pressure will affect the water use of users. Therefore, the pressure monitoring method is more suitable for monitoring the water leakage in the stacked area.

[0017] 2. By simultaneously using the three monitoring methods to monitor water leakage in different areas, the present invention avoids problems that may occur in the monitoring process of a certain method. At the same time, by assigning weights to the monitoring methods according to the pipe network distribution factors in different areas, the accuracy of the monitoring is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a system block diagram of the water supply pipe network leakage management system provided by the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0020] In order to make the technical means, creative features, achieved purposes and functions of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0021] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", "inner", "outer", "front end", "back end", "both ends", "one end", "the other end", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0022] In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] Refer to Figure 1 , the present invention is a water supply network leakage management system, including a main control center, and a network construction module, a zoning module, a monitoring module, a weight distribution module, an analysis module, and a leakage decision module that are respectively established in communication connection with it; Main control center: used to receive and send relevant network data of the other modules of the management system, and display them in real time on the centralized interface provided for the system administrator, and at the same time used to manage the operation of each module, so that the system administrator can access the data information of the management system at any time; Network construction module: includes leakage record devices installed at the nodes of the water supply pipes, valve wells, and pipe sections prone to leakage in the network monitoring coverage area; Zoning module: divides the network plane model into a water transmission pipe area, a water distribution pipe area, and a stacked area according to the distribution of pipelines, and presets the average water pressure and average flow of each area according to the area type and the number of area users; Monitoring module: includes a noise monitoring unit, a pressure monitoring unit, and a flow monitoring unit; Weight distribution module: assigns weights to the leakage monitoring methods of each area according to the network distribution factors; the network distribution factors include the number of regional pipeline nodes, the network distribution location, and the pipeline specifications; the leakage monitoring methods of each area include a sound monitoring method for monitoring pipeline leakage by the sound monitoring unit, a pressure monitoring method for monitoring pipeline leakage by the pressure monitoring unit, and a flow monitoring method monitored by the flow monitoring unit; Analysis module: used to analyze the possibility of network leakage in each area; Leakage decision-making module: used to determine the specific location of leakage, and quickly locate and calculate the leakage point based on the sound sensors installed in the pipe network.

[0024] Preferably, the leakage recording device includes a sound sensor for sensing noise and outputting a noise signal, a pressure transmitter for monitoring the change of water supply pressure in the pipe network, and a flow sensor for monitoring the change of water supply flow in the pipe network; a pipe network plane model is built according to the water supply pipe network and the leakage recording devices installed at various positions of the pipe network, and at the same time, the pipe network plane model is input into the coordinate system, and the coordinates of the positions of each leakage recording device are obtained.

[0025] Preferably, the noise monitoring unit is used to monitor the noise generated by the leakage of the pipe network through each sound sensor installed on the surface of the pipeline in the pipe network, and output the noise data to the analysis and selection module; the pressure monitoring unit is used to monitor the change of the internal water pressure of the pipe network through each pressure transmitter installed inside the pipe network, and output the water pressure change data to the analysis and selection module; the flow monitoring unit is used to monitor the change of the internal water supply flow of the pipe network through each flow sensor installed inside the pipeline in the pipe network, and output the water flow change data to the analysis and selection module.

[0026] Preferably, in the weight distribution module, the number of pipeline nodes in the area affects the weight of the pressure monitoring method for leakage monitoring. The more the number of pipeline nodes, the greater the weight of the monitoring result of the pressure monitoring method in the leakage monitoring result; the user living density at the distribution location of the pipe network in the area affects the weight of the sound monitoring method for leakage monitoring. The greater the user living density at the distribution location of the pipe network, the smaller the weight of the monitoring result of the sound monitoring method in the leakage monitoring result; the size of the pipeline specification in the area affects the weight of the flow monitoring method for leakage monitoring. The larger the pipeline specification, the greater the weight of the monitoring result of the flow monitoring method in the leakage monitoring result; the initial weight of the monitoring results of each monitoring method in the leakage monitoring weight distribution in the area is one-third of the leakage monitoring result.

[0027] Preferably, each monitoring method calculates the weight leakage rate within its assigned weight according to the leakage probability obtained by monitoring in the area where it is located. The sum of the weight leakage rates of all monitoring methods is the final pipe network leakage probability. If the final pipe network leakage probability exceeds the threshold, a leakage signal is immediately output to the leakage decision-making module.

[0028] Preferably, the average water pressure and average flow rate of each area preset in the zoning module are determined by the system data of past water consumption. The time point with the least water consumption is used as the benchmark, and the water pressure and flow rate in the pipe network at multiple same time points are monitored. From the water pressure and flow rate at multiple same time points, the average water pressure and average flow rate of each area are calculated.

[0029] Preferably, in the flow monitoring unit, the daily measured flow data in the area is compared with the average flow. If the daily measured flow data continuously or suddenly significantly exceeds the average flow change threshold, the probability of pipeline leakage is estimated based on the number of days that the daily measured flow continuously exceeds the average flow, or the difference between the daily measured flow and the average flow. The greater the number of days, the greater the leakage probability; the greater the difference, the greater the leakage probability.

[0030] Preferably, in the pressure monitoring unit, the daily measured pressure data in the area is compared with the average pressure. If the daily measured pressure data continuously or significantly is lower than the average pressure change threshold, the probability of pipeline leakage is estimated based on the number of days that the daily measured pressure continuously is lower than the average pressure, or the difference between the daily measured pressure and the average pressure. The greater the number of days, the greater the leakage probability; the greater the difference, the greater the leakage probability.

[0031] Preferably, the management system further includes a storage module, which is used to store the average pressure data and average flow data of each area, as well as the pipeline plane model data of each pipeline network, for the system administrator to access relevant data at any time.

[0032] Preferably, the positioning calculation of the leakage point in the leakage decision module includes the following: after the sound sensor captures the sound signal, it analyzes the signal to determine its source and characteristics. The signal attenuates during propagation, as shown in Equation (1), and the initial energy of the sound signal is calculated: (1) Where, is the initial energy of the sound signal; is the density of the signal propagation medium; is the propagation speed of the sound wave in the medium; A is the amplitude of the sound wave; At the same time, considering the geometric attenuation and medium absorption attenuation of the sound signal, the attenuation of the signal sound wave is calculated as shown in Equation (2): (2) Where, is the sound wave intensity at a distance r from the sound source; is the initial sound wave intensity at a distance from the sound source; e is the geometric attenuation coefficient; is the medium absorption coefficient; x is the distance that the sound wave propagates, is the distance from the reference point to the sound source; r is the distance from the current point to the sound source; According to the calculation result of Equation (2), combined with the sound wave intensity of the received signal, the energy of the received sound signal is calculated, as shown in Equation (3): (3) Where, is the energy of the received sound signal; is the received sound wave intensity; t is the duration of the sound wave; is the effective area of the receiver; Combining equations (1)-(3), the sound return signal considering attenuation is obtained as shown in equation (4): (4) where, is the energy of the sound return signal considering attenuation, and d is the distance from the sound source to the leakage point.

[0033] During the process of monitoring the leakage area of the water supply pipe network, in order to distinguish the background noise from the real leakage signal, a signal intensity threshold needs to be set. This threshold is usually determined based on the average intensity of the background noise plus a fixed offset. The formula for setting the leakage signal intensity threshold is shown in equation (5): (5) where, T is the intensity threshold of the leakage signal, is the average intensity of the background noise, and k is an empirical coefficient used to adjust the sensitivity of the threshold, is the standard deviation of the background noise.

[0034] When multiple sensors are integrated at different positions of the pipe network, there will be a difference in the time when the leakage signal reaches the sensors. Using the time difference, the position of the leakage point can be calculated. The time difference positioning formula is shown in equation (6): (6) where, D is the time positioning difference; are the distances from the leakage point to the two sensors; Through multiple time difference measurements, the triangulation method can be used to accurately determine the position of the leakage point.

[0035] On this basis, if the initial energy of the leakage signal and the energy received at different positions are known, the position of the leakage point can be inverted using the energy attenuation formula to ensure the accuracy of the leakage point positioning result. The calculation formula for this process is shown in equation (7): (7) where, is the inversion result of the leakage point positioning.

[0036] If the positioning result is highly consistent with the inversion result, it proves that the leakage point result of the positioning is accurate. Through this method, the monitoring of the leakage area of the water supply pipe network and the rapid positioning of the leakage point are completed.

[0037] The above has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A water supply network leakage management system, characterized in that: It includes a main control center, as well as a pipeline network construction module, a zoning module, a monitoring module, a weight assignment module, an analysis module, and a leakage decision-making module that are respectively established in communication connection with it; Main control center: It is used to receive and send relevant pipeline network data of the other modules of the management system and display them in real time on the centralized interface provided for the system administrator. At the same time, it is used to manage the operation status of each module for the system administrator to access the data information of the management system at any time; Pipeline network construction module: It includes leakage record devices installed at the nodes of the water supply pipes, valve wells, and pipe sections prone to leakage in the pipeline network monitoring coverage area; Zoning module: It divides the pipeline network plane model into a water transmission pipe area, a water distribution pipe area, and a stacked area according to the distribution of pipelines, and presets the average water pressure and average flow rate of each area according to the area type and the number of area users; Monitoring module: It includes a noise monitoring unit, a pressure monitoring unit, and a flow monitoring unit; Weight assignment module: It assigns weights to the leakage monitoring methods of each area according to the pipeline network distribution factors; the pipeline network distribution factors include the number of regional pipeline nodes, the pipeline network distribution location, and the pipeline specifications; the leakage monitoring methods of each area include a sound monitoring method for monitoring pipeline leakage by the sound monitoring unit, a pressure monitoring method for monitoring pipeline leakage by the pressure monitoring unit, and a flow monitoring method monitored by the flow monitoring unit; Analysis module: It is used to analyze the possibility of pipeline network leakage in each area; Leakage decision-making module: It is used to decide the specific location of the leakage and perform rapid positioning calculation on the leakage point according to the sound sensors installed in the pipeline network.

2. The water supply network leakage management system according to claim 1, characterized in that, The leakage record device includes a sound sensor for sensing noise and outputting a noise signal, a pressure transmitter for monitoring the change of water supply pressure in the pipeline network, and a flow sensor for monitoring the change of water supply flow in the pipeline network; a pipeline network plane model is built according to the water supply pipeline network and the leakage record devices installed at various positions of the pipeline network, and at the same time, the pipeline network plane model is input into the coordinate system, and the coordinates of the positions of each leakage record device are obtained.

3. The water supply network leakage management system according to claim 2, characterized in that, The noise monitoring unit is used to monitor the noise generated by pipeline network leakage through each sound sensor installed on the surface of the pipeline in the pipeline network and output the noise data to the analysis and selection module; the pressure monitoring unit is used to monitor the change of the internal water pressure of the pipeline network through each pressure transmitter installed inside the pipeline network and output the water pressure change data to the analysis and selection module; the flow monitoring unit is used to monitor the change of the internal water supply flow of the pipeline network through each flow sensor installed inside the pipeline in the pipeline network and output the water flow change data to the analysis and selection module.

4. The water supply network leakage management system according to claim 3, characterized in that In the weight distribution module, the number of pipeline nodes in the area affects the weight of the pressure monitoring method for leakage monitoring. The more pipeline nodes there are, the greater the weight of the monitoring result of the pressure monitoring method in the leakage monitoring result. The living density of users at the distribution location of the pipe network in the area affects the weight of the sound monitoring method for leakage monitoring. The greater the living density of users at the distribution location of the pipe network, the smaller the weight of the monitoring result of the sound monitoring method in the leakage monitoring result. The size of the pipeline specification in the area affects the weight of the flow monitoring method for leakage monitoring. The larger the pipeline specification, the greater the weight of the monitoring result of the flow monitoring method in the leakage monitoring result. In the weight distribution of pipeline network leakage monitoring in the area, the initial weight of the monitoring result of each monitoring method in the leakage monitoring result is one-third.

5. The water supply network leakage management system according to claim 4, characterized in that, Each monitoring method calculates the leakage probability in its own area based on the monitoring results. According to the assigned weights, each monitoring method calculates the weighted leakage rate within its assigned weight. The sum of the weighted leakage rates of all monitoring methods is the final pipeline network leakage probability. If the final pipeline network leakage probability exceeds the threshold, a leakage signal is immediately output to the leakage decision-making module.

6. The water supply network leakage management system according to claim 5, characterized in that In the zoning module, the preset average water pressure and average flow rate of each area are determined by the system data of past water consumption. The time point with the least water consumption is used as the benchmark, and the water pressure and flow rate in the pipeline network at multiple same time points are monitored. Based on the water pressure and flow rate at multiple same time points, the average water pressure and average flow rate of each area are calculated.

7. The water supply network leakage management system according to claim 6, wherein In the flow monitoring unit, the daily measured flow data in the area is compared with the average flow rate. If the daily measured flow data continuously or suddenly significantly exceeds the average flow rate change threshold, the pipeline network leakage probability is estimated based on the number of days that the daily measured flow rate continuously exceeds the average flow rate or the difference between the daily measured flow rate and the average flow rate. The greater the number of days, the greater the leakage probability; the greater the difference, the greater the leakage probability.

8. The water supply network leakage management system according to claim 7, characterized in that, In the pressure monitoring unit, the daily measured pressure data in the area is compared with the average pressure. If the daily measured pressure data continuously or significantly is lower than the average pressure change threshold, the pipeline network leakage probability is estimated based on the number of days that the daily measured pressure continuously is lower than the average pressure or the difference between the daily measured pressure and the average pressure. The greater the number of days, the greater the leakage probability; the greater the difference, the greater the leakage probability.

9. The water supply network leakage management system according to claim 8, characterized in that, The management system further includes a storage module, which is used to store the average pressure data and average flow rate data of each area, as well as the plane model data of each pipeline network, for the system administrator to access relevant data at any time.

10. The water supply network leakage management system according to claim 9, characterized in that, The positioning calculation of the leakage point in the leakage decision-making module includes the following: After the sound sensor captures the sound signal, it analyzes the signal to determine its source and characteristics. The signal attenuates during propagation, as shown in Equation (1), and the initial energy of the sound signal is calculated: (1) Among them, is the initial energy of the sound signal; is the density of the signal propagation medium; is the propagation speed of the sound wave in the medium; A is the amplitude of the sound wave; At the same time, considering the geometric attenuation and medium absorption attenuation of the sound signal, the attenuation of the signal sound wave is calculated as shown in Equation (2): (2) Among them, is the sound wave intensity at a distance r from the sound source; is the initial sound wave intensity at a distance from the sound source; e is the geometric attenuation coefficient; is the medium absorption coefficient; x is the distance traveled by the sound wave, is the distance from the reference point to the sound source; r is the distance from the current point to the sound source; According to the calculation result of Equation (2), combined with the sound wave intensity of the received signal, the energy of the received sound signal is calculated, as shown in Equation (3): (3) Among them, is the energy of the received sound signal; is the intensity of the received sound wave; t is the duration of the sound wave; is the effective area of the receiver; Combining Equations (1)-(3), the sound return signal considering attenuation is obtained, as shown in Equation (4): (4) Among them, is the energy of the sound return signal after considering attenuation, and d is the distance from the sound source to the leakage point.

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