Pipe network leakage locating method and system based on DMA partition and hydrodynamic simulation

Abstract

The invention relates to the technical field of water supply pipe network leakage locating, in particular to a pipe network leakage locating method and system based on DMA partition and hydrodynamic simulation, and the method comprises the following steps: S1, obtaining DMA partition data of a water supply pipe network; s2, calculating a difference value between the input flow and the output flow of each DMA partition by adopting a water balance method, and generating leakage DMA partition information; s3, constructing a pipe network topological model, generating a pipe network topological graph containing attribute information, and generating pipe network topological model parameters corresponding to the leakage DMA partitions; s4, the theoretical flow of each pipe section in the leakage DMA partition is calculated through an EPANET hydrodynamic simulation algorithm; and S5, the deviation value between the theoretical flow and the actual flow of each pipe section is calculated, and the pipe section with the deviation value exceeding the threshold value is marked as the initial leakage pipe section. And the leakage degree is evaluated according to the deviation value of the pipe section, and visual final leakage pipe section information is output. The method has the advantages of high positioning precision, high detection efficiency and strong anti-interference capability.

Description

Technical Field

[0001] This invention relates to the field of water supply network leakage location technology, specifically to a network leakage location method and system based on DMA partitioning and hydrodynamic simulation. Background Technology

[0002] Water supply networks are a crucial component of urban infrastructure, and their operational status directly impacts residents' lives, industrial production, and the normal functioning of urban public services. However, due to factors such as network aging, construction defects, geological subsidence, and external damage, water supply network leakage is a widespread problem. Leakage not only results in significant water waste but can also trigger secondary disasters such as road collapses and water pollution, leading to substantial economic losses and safety hazards. Therefore, achieving accurate and efficient location of water supply network leaks is of great importance for reducing leakage rates and ensuring the safe and stable operation of the network.

[0003] Currently, traditional methods for locating leaks in water supply networks mainly include the DMA (Divided Area Metering) method, the acoustic method, and the ground-penetrating radar (GPR) method. The DMA method divides the water supply network into several independent metering zones and monitors the difference in inflow and outflow rates between these zones to determine the presence of leaks. However, it can only roughly locate the leaking area and cannot pinpoint the specific leaking pipe section; further detailed investigation using other methods is still necessary. The acoustic method locates leaks by manually or using equipment to listen for the sound of water flowing through the pipes. However, it is greatly affected by environmental noise, its accuracy depends on the operator's experience, and it is ineffective for pipes buried at greater depths or made of special materials. The GPR method uses the principle of electromagnetic wave reflection to detect pipe leaks, but it is easily affected by the inhomogeneity of the underground medium, has a limited detection range, and is expensive, complex to operate, and inefficient. Summary of the Invention

[0004] To address the aforementioned problems, this invention provides a method and system for locating pipeline leaks based on DMA partitioning and hydrodynamic simulation. The method uses DMA partitioning to initially locate the leaking area, then calculates the theoretical flow data of each pipe segment using hydrodynamics, and compares and analyzes this data with actual monitored flow data to accurately locate the leaking pipe segment. This method offers advantages such as high positioning accuracy, high detection efficiency, and strong anti-interference capability.

[0005] The technical solution adopted in this invention is to provide a method for locating pipeline leakage based on DMA partitioning and hydrodynamic simulation, including the following steps:

[0006] S1. Obtain DMA partition data of the water supply network and update the inlet pressure and flow data of each DMA partition in real time;

[0007] S2. Based on DMA partition data, the difference between the input flow and output flow of each DMA partition is calculated using the water balance method, and compared with the preset leakage threshold to determine whether there is leakage; when leakage is determined, leakage DMA partition information is generated.

[0008] S3. Obtain the basic parameters of the water supply network, construct the network topology model using graphical modeling, clarify the connection relationship between pipe segments and nodes, generate a network topology map containing attribute information, and associate it with DMA partition data. Generate the network topology model parameters corresponding to the leakage DMA partition based on the leakage DMA partition information.

[0009] S4. Based on the leakage DMA partition information and the corresponding area's pipe network topology model parameters, calculate the theoretical flow rate of each pipe segment within the leakage DMA partition using the EPANET hydrodynamic simulation algorithm.

[0010] S5. Set the deviation threshold. Based on the actual flow data of each pipe segment in the DMA partition, calculate the deviation between the theoretical flow and the actual flow of each pipe segment. Mark the pipe segments with deviation values ​​exceeding the threshold as initially determined leakage pipe segments.

[0011] S6. Initially determine the relationship between the leaking pipe section and the pipeline network topology and verify the correlation. If there is no obvious flow abnormality in the adjacent pipe section, then confirm that the pipe section is the final leaking pipe section, and evaluate the degree of leakage based on the deviation value of the pipe section, and output the visualized final leaking pipe section information.

[0012] S7. Based on the pipeline topology map, GIS map visualization technology is used to intuitively display the leakage DMA zoning range, leakage area location, and specific distribution of leakage pipe sections.

[0013] The EPANET hydrodynamic simulation calculation process in step S4 includes the following steps.

[0014] a. Obtain the pipeline topology model parameters and real-time monitoring data corresponding to the leakage DMA partition;

[0015] b. Introduce a dynamic correction formula to calculate the actual resistance coefficient of each pipe section. The formula is as follows:

[0016] Formula 1

[0017] In Equation 1, This represents the actual resistance coefficient, and t represents the actual pipe age of the pipe section. Indicates the actual pressure of the pipe section. This indicates the standardized pressure of the pipe section, with a default value of 0.4 MPa. Indicates the standard resistance coefficient of the pipe material; This represents the pipe age correction factor, which is determined based on the pipe type and ranges from 0.005 to 0.01. This represents the pressure correction factor, with a value ranging from 0.1 to 0.3.

[0018] c. Construct the network continuity and energy equations within the leakage DMA zone, substituting the inlet pressure and flow data of the leakage DMA zone as boundary conditions into the equations, as shown in the following formulas.

[0019] Equation 2 with ∑Q=0

[0020] Equation 3: ∑h_f + ∑h_p = ∑h_z

[0021] In Equations 2 and 3, Q represents the flow rate of the pipe section, h_f represents the head loss along the pipe, h_p represents the pump head, and h_z represents the water level difference at the node.

[0022] d. Solve the constructed hydrodynamic equations using the Newton-Raphson iterative method to obtain the preliminary theoretical flow rate for each pipe section; if the iteration results do not converge, adjust the iteration step size and solve again until the results converge.

[0023] e. The converged flow rate of each pipe segment is taken as the final theoretical flow rate.

[0024] The DMA partition data in step S1 includes partition number, boundary range, metering point location, monitoring terminal distribution, partition inlet pressure and flow data.

[0025] The basic parameters for step S3 include pipe segment parameters, node parameters, pump parameters, and valve parameters.

[0026] A system for a pipeline network leakage location method based on DMA partitioning and hydrodynamic simulation includes a DMA partitioning management module, a pipeline network topology module, a hydrodynamic simulation calculation module, a leakage determination and location module, and a human-computer interaction module.

[0027] The DMA partition management module integrates a water balance method calculation unit, which is used to acquire DMA partition data, update the inlet pressure and flow data of each DMA partition in real time, calculate the difference between the input flow and output flow of each DMA partition, compare it with the preset leakage threshold, determine whether there is leakage, and output leakage DMA partition information.

[0028] The pipeline topology module integrates the pipeline topology model and the pipeline topology diagram, and is used to receive the leakage DMA partition information output by the DMA partition management module and output the corresponding leakage pipeline topology model parameters.

[0029] The hydrodynamic simulation calculation module integrates a hydrodynamic simulation algorithm module, which is used to receive leakage DMA partition information and pipeline topology model parameters output by the DMA partition management module and the pipeline topology module, and calculate the theoretical flow rate of each pipe segment.

[0030] The leakage detection and location module sets a deviation threshold. It calculates the actual deviation value based on the theoretical flow rate of each pipe segment calculated by the hydrodynamic simulation calculation module and the flow rate data of each pipe segment obtained by the DMA partition management module. Pipe segments that exceed the threshold are identified as leaking pipe segments.

[0031] The human-computer interaction module is used to intuitively display the DMA partition range, the location of the leakage area, and the specific distribution of the leakage pipe section based on the pipeline network topology map and using GIS map visualization technology.

[0032] It also includes a leakage verification module, which verifies the leakage of pipe segments by associating them with the pipeline network topology. If there is no obvious flow abnormality in adjacent pipe segments, the pipe segment is confirmed to be a leakage segment, and the degree of leakage is assessed based on the deviation value.

[0033] The beneficial effects of this invention are:

[0034] 1. Significantly improves the accuracy of leak location. Through the collaborative mode of DMA partitioning for preliminary location and hydrodynamic simulation for precise calculation, it can achieve accurate location from the leak area to the specific leaking pipe section, greatly reducing the workload of subsequent investigation.

[0035] 2. Significantly improves leakage location efficiency. It can quickly locate leakage areas through DMA partitioning, narrow the scope of hydrodynamic simulation, reduce the amount of calculation, and realize rapid leakage location in large-scale pipe networks. It can replace traditional manual on-site detection by automating data processing and calculation through software.

[0036] 3. Enhance resistance to environmental interference: By using hydrodynamic simulation calculations and flow deviation analysis, the dependence of traditional physical detection technologies on the on-site environment is eliminated, thereby improving the reliability of positioning results. Attached Figure Description

[0037] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0038] like Figure 1 As shown, this invention provides a method for locating pipeline leakage based on DMA partitioning and hydrodynamic simulation, including the following steps:

[0039] S1, DMA Partition Management

[0040] Acquire DMA (District Access Control) zoning data of the water supply network, including zoning number, boundary range, metering point location, and monitoring terminal distribution; and receive real-time inlet pressure and flow data of each DMA zoning uploaded by the network monitoring terminals.

[0041] S2. Based on DMA partition data, the difference between the input flow and output flow of each DMA partition is calculated using the water balance method, and compared with the preset leakage threshold to determine whether there is leakage; when leakage is determined, leakage DMA partition information is generated.

[0042] The leakage DMA partition information includes the number, range, and real-time monitoring data; the input flow is the monitoring value of the inlet metering point, and the output flow is the sum of the flow of each user node.

[0043] Preset leakage threshold: Based on the regional water supply network design specifications, historical leakage data statistics, and industry standards such as the "Standard for Leakage Control and Evaluation of Urban Water Supply Networks", an initial benchmark threshold is determined. Under normal operating conditions, the value is generally taken as 5%-8% of the input flow of the DMA zone. After adjustment according to different operating conditions, the preset leakage threshold is obtained.

[0044] Threshold dynamic adjustment mechanism: The threshold is dynamically calibrated based on the actual operating conditions of the DMA partition. If there is large-scale construction or concentrated water usage peaks within the partition, the initial baseline threshold will be increased by 30%-50%; if the partition is a residential area or other area with stable water usage, the initial baseline threshold will be decreased by 10%-20%.

[0045] Personalized threshold adjustment: For older pipeline networks, such as those with pipes over 20 years old, the initial benchmark threshold will be increased by 2%-3% due to the higher risk of leakage caused by pipe aging; for newly built pipeline networks, such as those with pipes less than 5 years old, the initial benchmark threshold will be decreased by 1%-2%.

[0046] Threshold verification and update: The threshold is recalculated quarterly based on the leakage investigation results and traffic monitoring data trends of the DMA partition to ensure that it matches the actual leakage risk.

[0047] S3. Obtain the basic parameters of the water supply network, construct the network topology model using graphical modeling, clarify the connection relationship between pipe segments and nodes, generate a network topology map containing attribute information, and associate it with DMA partition data; generate network topology model parameters corresponding to the leakage DMA partition based on the leakage DMA partition information.

[0048] The basic parameters include pipe segment parameters, node parameters, pump parameters, and valve parameters. Among them, pipe segment parameters include length, pipe diameter, pipe material, pipe age, and roughness coefficient; node parameters include node number, coordinates, and node flow rate; pump parameters include head-flow curve and operating status; and valve parameters include type and opening degree.

[0049] S4. Based on the leakage DMA partition information and the corresponding area's pipe network topology model parameters, calculate the theoretical flow rate of each pipe segment within the leakage DMA partition using the EPANET hydrodynamic simulation algorithm.

[0050] To improve calculation accuracy, a dynamic correction term for the pipeline resistance coefficient is introduced based on the EPANET hydrodynamic simulation algorithm. The resistance coefficient is dynamically adjusted according to the pipe age, pipe material, and real-time pressure data, so that the theoretical flow rate is closer to the actual operating conditions.

[0051] The EPANET hydrodynamic simulation algorithm includes the following steps:

[0052] a. Parameter initialization: Obtain the pipeline topology model parameters and real-time monitoring data corresponding to the leakage DMA partition; including pipe segment length, pipe diameter, pipe material type, pipe age, and real-time pressure of the pipe segment, and initialize the standard pressure, standard resistance coefficient of pipe material, pipe age correction coefficient, and pressure correction coefficient at the same time.

[0053] b. Dynamically Corrected Resistance Coefficient: A dynamic correction formula is introduced to calculate the actual resistance coefficient of each pipe section. The formula is as follows.

[0054] Formula 1

[0055] In Equation 1, This represents the actual resistance coefficient, and t represents the actual pipe age (in years). Indicates the actual pressure of the pipe section. This indicates the standardized pressure of the pipe section, with a default value of 0.4 MPa. This indicates the standard resistance coefficient of the pipe material, which is matched according to the type of pipe, such as ductile iron pipe. =130, PE pipe =150; This represents the pipe age correction factor, which is determined based on the pipe type and ranges from 0.005 to 0.01. This represents the pressure correction factor, with a value ranging from 0.1 to 0.3.

[0056] c. Construction of pipeline hydrodynamic equations: Construct the pipeline continuity and energy equations within the leakage DMA zone, substituting the inlet pressure and flow rate data of the leakage DMA zone as boundary conditions into the equations, as shown in the following formulas.

[0057] Equation 2 with ∑Q=0

[0058] Equation 3: ∑h_f + ∑h_p = ∑h_z

[0059] In Equations 2 and 3, Q represents the flow rate of the pipe section, h_f represents the head loss along the pipe, h_p represents the pump head, and h_z represents the water level difference at the node.

[0060] d. Equation solving and iterative optimization: The Newton-Raphson iterative method is used to solve the constructed hydrodynamic equations to obtain the preliminary theoretical flow rate of each pipe section; if the iterative results do not converge, the iteration step size is adjusted and the solution is repeated until the results converge.

[0061] e. Theoretical flow output: The flow rate of each pipe segment after convergence is taken as the final theoretical flow rate.

[0062] S5. Set the deviation threshold and calculate the deviation between the theoretical flow and the actual flow of each pipe segment based on the actual flow data of each pipe segment within the leakage DMA partition. The formula is: Deviation value = |Actual flow - Theoretical flow| / Theoretical flow × 100%. Pipe segments with deviation values ​​exceeding the threshold are marked as initially identified leakage pipe segments. The actual flow data is obtained by monitoring the flow meter on the pipe segment, and the deviation threshold is determined through statistical analysis of historical leakage case data. Users can perform manual calibration as needed.

[0063] S6. Initially determine the relationship between the leaking pipe segment and the pipeline network topology and verify the correlation. If there is no obvious flow abnormality in adjacent pipe segments, then confirm that the pipe segment is the final leaking pipe segment. The degree of leakage is evaluated according to the deviation value of the pipe segment. For example, a deviation value of 10%-20% is a slight leakage, 20%-50% is a moderate leakage, and more than 50% is a severe leakage. Output the visualized information of the final leaking pipe segment, including the number, coordinates, and degree of leakage of the leaking pipe segment.

[0064] The criteria for determining no obvious traffic anomalies are as follows:

[0065] (1) Flow fluctuation range: The deviation between the real-time flow of adjacent pipe sections and the historical average flow of the same period is ≤ ±5%; adjacent pipe sections refer to the inflow pipe sections and outflow pipe sections directly connected to the initially determined leakage pipe sections; historical average flow refers to the average flow of the past 30 days.

[0066] (2) Consistency of flow trend: The flow trend of adjacent pipe sections does not deviate significantly from the flow trend of the initially determined leakage pipe section. That is, when the flow of the initially determined leakage pipe section shows an abnormal decrease / increase, the flow of adjacent pipe sections does not show synchronous abnormal fluctuation, and the fluctuation range is ≤±3%;

[0067] (3) Hydraulic balance matching: The flow rates of adjacent pipe sections satisfy the hydraulic balance relationship in the pipe network topology model, that is, the difference between the total flow rate of the inflow pipe section and the total flow rate of the outflow pipe section is ≤ ±2%, and the difference is within the normal hydraulic loss range;

[0068] (4) Continuous monitoring verification: The judgment of flow anomalies in adjacent pipe sections should be based on monitoring data for 24 consecutive hours. If only a single instantaneous flow exceeds the range, but the cumulative abnormal duration is ≤1 hour and there is no regularity, it is judged as no obvious flow anomaly.

[0069] S7. Based on the pipeline topology map, GIS map visualization technology is used to intuitively display the leakage DMA zoning range, leakage area location, and specific distribution of leakage pipe sections.

[0070] Results Verification and Parameter Optimization: On-site verification of the output leakage location results is conducted, and the verification data is fed back to the software. If the verification results are consistent with the location results, the location results are stored and a leakage location report is output. If there is a deviation, the hydrodynamic simulation algorithm parameters (such as the resistance coefficient correction coefficient) and deviation threshold are adjusted through the data visualization module, and the theoretical flow rate is recalculated until the location results are accurate.

[0071] This invention employs an improved EPANET hydrodynamic simulation algorithm, introducing a dynamic correction term for the pipeline resistance coefficient to enhance the calculation accuracy of theoretical flow rates for pipe sections under different operating conditions. In the traditional EPANET algorithm, the pipeline resistance coefficient (such as the Hassen-Williams coefficient C) uses a fixed value, which cannot adapt to the impact of pipe age, pipe material aging, and real-time pressure changes on pipeline resistance.

[0072] The present invention also provides a system for a pipeline network leakage location method based on DMA partitioning and hydrodynamic simulation as described in any one of claims 1-2, comprising a DMA partitioning management module, a pipeline network topology module, a hydrodynamic simulation calculation module, a leakage determination and location module, and a human-computer interaction module;

[0073] The DMA partition management module integrates a water balance method calculation unit, which is used to acquire DMA partition data, update the inlet pressure and flow data of each DMA partition in real time, calculate the difference between the input flow and output flow of each DMA partition, compare it with the preset leakage threshold, determine whether there is leakage, and output leakage DMA partition information.

[0074] The pipeline topology module integrates the pipeline topology model and the pipeline topology diagram, and is used to receive the leakage DMA partition information output by the DMA partition management module and output the corresponding leakage pipeline topology model parameters.

[0075] The hydrodynamic simulation calculation module integrates a hydrodynamic simulation algorithm module, which is used to receive leakage DMA partition information and pipeline topology model parameters output by the DMA partition management module and the pipeline topology module, and calculate the theoretical flow rate of each pipe segment.

[0076] The leakage detection and location module sets a deviation threshold. It calculates the actual deviation value based on the theoretical flow rate of each pipe segment calculated by the hydrodynamic simulation calculation module and the flow rate data of each pipe segment obtained by the DMA partition management module. Pipe segments that exceed the threshold are identified as leaking pipe segments.

[0077] The human-computer interaction module is used to intuitively display the DMA partition range, the location of the leakage area, and the specific distribution of the leakage pipe section based on the pipeline network topology map and using GIS map visualization technology.

[0078] It also includes a leakage verification module, which verifies the leakage of pipe segments by associating them with the pipeline network topology. If there is no obvious flow abnormality in adjacent pipe segments, the pipe segment is confirmed to be a leakage segment, and the degree of leakage is assessed based on the deviation value.

Claims

1. A method for locating pipeline leakage based on DMA partitioning and hydrodynamic simulation, characterized in that: Includes the following steps, S1. Obtain DMA partition data of the water supply network and update the inlet pressure and flow data of each DMA partition in real time; S2. Based on DMA partition data, the difference between the input flow and output flow of each DMA partition is calculated using the water balance method, and compared with the preset leakage threshold to determine whether there is leakage. When a loss is detected, loss DMA partition information is generated. S3. Obtain the basic parameters of the water supply network, construct the network topology model using graphical modeling, clarify the connection relationship between pipe segments and nodes, generate a network topology map containing attribute information, and associate it with DMA partition data. Generate the network topology model parameters corresponding to the leakage DMA partition based on the leakage DMA partition information. S4. Based on the leakage DMA partition information and the corresponding area's pipe network topology model parameters, calculate the theoretical flow rate of each pipe segment within the leakage DMA partition using the EPANET hydrodynamic simulation algorithm. S5. Set the deviation threshold. Based on the actual flow data of each pipe segment in the DMA partition, calculate the deviation between the theoretical flow and the actual flow of each pipe segment. Mark the pipe segments with deviation values ​​exceeding the threshold as initially determined leakage pipe segments. S6. Initially determine the relationship between the leaking pipe section and the pipeline network topology and verify the correlation. If there is no obvious flow abnormality in the adjacent pipe section, then confirm that the pipe section is the final leaking pipe section, and evaluate the degree of leakage based on the deviation value of the pipe section, and output the visualized final leaking pipe section information. S7. Based on the pipeline topology map, GIS map visualization technology is used to intuitively display the leakage DMA zoning range, leakage area location, and specific distribution of leakage pipe sections.

2. The pipeline leakage location method based on DMA partitioning and hydrodynamic simulation according to claim 1, characterized in that: The EPANET hydrodynamic simulation calculation process in step S4 includes the following steps. a. Obtain the pipeline topology model parameters and real-time monitoring data corresponding to the leakage DMA partition; b. Introduce a dynamic correction formula to calculate the actual resistance coefficient of each pipe section. The formula is as follows: Formula 1 In Equation 1, This represents the actual resistance coefficient, and t represents the actual pipe age of the pipe section. Indicates the actual pressure of the pipe section. This indicates the standardized pressure of the pipe section, with a default value of 0.4 MPa. Indicates the standard resistance coefficient of the pipe material; This represents the pipe age correction factor, which is determined based on the pipe type and ranges from 0.005 to 0.

01. This represents the pressure correction factor, with a value ranging from 0.1 to 0.

3. c. Construct the network continuity and energy equations within the leakage DMA zone, substituting the inlet pressure and flow data of the leakage DMA zone as boundary conditions into the equations, as shown in the following formulas. Equation 2 with ∑Q=0 Equation 3: ∑h_f + ∑h_p = ∑h_z In Equations 2 and 3, Q represents the flow rate of the pipe section, h_f represents the head loss along the pipe, h_p represents the pump head, and h_z represents the water level difference at the node. d. Solve the constructed hydrodynamic equations using the Newton-Raphson iterative method to obtain the preliminary theoretical flow rate for each pipe section; If the iteration result does not converge, adjust the iteration step size and solve again until the result converges; e. The converged flow rate of each pipe segment is taken as the final theoretical flow rate.

3. The pipeline leakage location method based on DMA partitioning and hydrodynamic simulation according to claim 1, characterized in that: The DMA partition data in step S1 includes partition number, boundary range, metering point location, monitoring terminal distribution, partition inlet pressure and flow data.

4. The pipeline leakage location method based on DMA partitioning and hydrodynamic simulation according to claim 1, characterized in that: The basic parameters for step S3 include pipe segment parameters, node parameters, pump parameters, and valve parameters.

5. A system for locating pipeline leakage based on DMA partitioning and hydrodynamic simulation as described in any one of claims 1-4, characterized in that: It includes a DMA partition management module, a pipeline topology module, a hydrodynamic simulation calculation module, a leakage detection and location module, and a human-computer interaction module; The DMA partition management module integrates a water balance method calculation unit, which is used to acquire DMA partition data, update the inlet pressure and flow data of each DMA partition in real time, calculate the difference between the input flow and output flow of each DMA partition, compare it with the preset leakage threshold, determine whether there is leakage, and output leakage DMA partition information. The pipeline topology module integrates the pipeline topology model and the pipeline topology diagram, and is used to receive the leakage DMA partition information output by the DMA partition management module and output the corresponding leakage pipeline topology model parameters. The hydrodynamic simulation calculation module integrates a hydrodynamic simulation algorithm module, which is used to receive leakage DMA partition information and pipeline topology model parameters output by the DMA partition management module and the pipeline topology module, and calculate the theoretical flow rate of each pipe segment. The leakage detection and location module sets a deviation threshold. It calculates the actual deviation value based on the theoretical flow rate of each pipe segment calculated by the hydrodynamic simulation calculation module and the flow rate data of each pipe segment obtained by the DMA partition management module. Pipe segments that exceed the threshold are identified as leaking pipe segments. The human-computer interaction module is used to intuitively display the DMA partition range, the location of the leakage area, and the specific distribution of the leakage pipe section based on the pipeline network topology map and using GIS map visualization technology.

6. The system for locating pipeline leakage based on DMA partitioning and hydrodynamic simulation according to claim 5, characterized in that: It also includes a leakage verification module, which verifies the leakage of pipe segments by associating them with the pipeline network topology. If there is no obvious flow abnormality in adjacent pipe segments, the pipe segment is confirmed to be a leakage segment, and the degree of leakage is assessed based on the deviation value.

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