A method and device for monitoring and preventing seepage of a water supply system

Abstract

The present invention relates to the field of water supply monitoring, and specifically to a method and device for monitoring and preventing seepage in a water supply system. The method comprises the following steps: obtaining pipeline construction data of the water supply system, constructing a twin model of the water pipeline, setting a pipeline monitoring unit, and obtaining pipeline water supply data and dynamic water supply data; obtaining dynamic point data based on the twin model of the water pipeline, obtaining abnormal pipeline points and abnormal pipeline levels based on the dynamic water supply data and the dynamic point data; obtaining abnormal values ​​based on the abnormal pipeline points and the abnormal pipeline levels; obtaining abnormal feature data and state values ​​based on the abnormal pipeline points and the abnormal pipeline levels, constructing a pipeline state prediction model, obtaining predicted abnormal feature data and predicted abnormal time; obtaining predicted state values ​​based on the predicted abnormal feature data and predicted abnormal time; constructing a pipeline structure diagram based on the predicted state value, the state value, and the abnormal value, and performing leak prevention treatment on the water supply system. The present invention can improve anti-seepage efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the field of water supply monitoring, and in particular to a method and device for monitoring and preventing seepage in a water supply system. Background Art

[0002] As a vital component of urban infrastructure, water supply systems are widely used in municipal water supply, industrial parks, centralized building water supply, agricultural irrigation, and other scenarios. This system typically consists of a water source, a water transmission and distribution network, a pump house, water tanks, valves, water meters, and monitoring equipment. Its operational stability and leakproofness have a critical impact on water supply efficiency, water quality, and energy consumption. Prestressed concrete cylinder pipe (PCCP) has become the mainstream material for urban trunk water supply systems due to its high strength, corrosion resistance, and suitability for large-diameter, high-pressure water transmission systems.

[0003] Chinese patent publication number CN117688659A discloses a method for predicting leakage risk of a deep overburden dam foundation cutoff wall of a reservoir dam, comprising: establishing a deep overburden dam foundation cutoff wall model based on survey data; utilizing numerical simulation technology to simulate and analyze the seepage field of the cutoff wall under different working conditions based on the deep overburden dam foundation cutoff wall model; extracting real-time parameters of pressure, water level, and temperature at key locations of the cutoff wall in combination with sensor network monitoring data; utilizing artificial intelligence algorithms to process and analyze the simulation results and monitoring data to predict the leakage risk of the cutoff wall; and obtaining corresponding risk control and response measures based on the prediction results.

[0004] In the existing technology, PCCP pipelines are prone to problems such as leakage, wire breakage, steel tube corrosion, and loose interfaces during long-distance underground operation. The water supply system is unable to identify and locate pipeline abnormalities early, and the hierarchical relationship of the water supply pipeline is complex, resulting in unclear leakage abnormalities, affecting the efficiency of staff and the efficiency and accuracy of anti-seepage. Summary of the Invention

[0005] The purpose of the present invention is to address the problems existing in the background technology and to propose a monitoring and anti-seepage method for a water supply system.

[0006] The technical solution of the present invention is a method for monitoring and preventing seepage of a water supply system, comprising the following steps:

[0007] S1. Obtain pipeline construction data of the water supply system, analyze the pipeline construction data, build a twin model of the water pipeline, set up a pipeline monitoring unit, and obtain pipeline water supply data and dynamic water supply data;

[0008] S2. Analyze the water pipeline twin model to obtain dynamic point data, analyze the dynamic water supply data and the dynamic point data to obtain abnormal pipeline points and abnormal pipeline levels; obtain abnormal values ​​based on the water pipeline twin model, abnormal pipeline points, and abnormal pipeline levels;

[0009] S3. Obtain abnormal feature data and status values ​​based on the abnormal pipeline point and abnormal pipeline level, and build a pipeline status prediction model. Analyze the pipeline status prediction model to obtain predicted abnormal feature data and predicted abnormal time; obtain a predicted status value based on the predicted abnormal feature data and predicted abnormal time;

[0010] S4. Based on the twin model of the water pipeline, the predicted state value, the state value, and the abnormal value, a pipeline structure diagram is constructed, and leak prevention treatment is performed on the water supply system through the pipeline structure diagram.

[0011] Preferably, the process of obtaining pipeline construction data of the water supply system, analyzing the pipeline construction data, constructing a twin model of the water pipeline, setting up a pipeline monitoring unit, and obtaining pipeline water supply data and dynamic water supply data includes:

[0012] Pipeline construction data includes water pipeline construction drawings and pipeline hierarchical relationships;

[0013] The pipeline hierarchy includes primary, secondary, tertiary, and quaternary pipelines; the water pipeline construction drawings include the distribution location, direction, connection relationship, and dimensions of the water pipelines;

[0014] Obtain a twin model of the water pipeline based on the water pipeline construction drawings and pipeline hierarchical relationships;

[0015] According to the connection relationship of the water pipes and the pipeline hierarchy, the hierarchical pipeline interface points are obtained; the hierarchical pipeline interface points include the first-level pipeline interface points, the second-level pipeline interface points, the third-level pipeline interface points and the fourth-level pipeline interface points; the pipeline monitoring unit is set through the hierarchical pipeline interface points; the pipeline water supply data and dynamic water supply data of the hierarchical pipeline interface points are obtained through the pipeline monitoring unit; the pipeline water supply data include the water pressure value, the flow value and the soil moisture value; the dynamic water supply data include the dynamic value of the water pressure, the dynamic value of the flow, the dynamic value of the soil moisture and the dynamic water supply time.

[0016] Preferably, the process of analyzing the twin model of the water pipeline to obtain dynamic point data includes:

[0017] Electromagnetic online detection is performed on the physical water pipeline corresponding to the water pipeline twin model through electromagnetic sensors to obtain the abnormal pipe section position; the detection point is obtained through the abnormal pipe section position, and electromagnetic online detection is performed on the physical water pipeline to obtain the detection change point and the dynamic detection time, and the detection change point and the dynamic detection time are recorded as dynamic point data.

[0018] Preferably, the dynamic water supply data and the dynamic point data are analyzed to obtain abnormal pipeline points and abnormal pipeline levels; according to the water pipeline twin model, abnormal pipeline points and abnormal pipeline levels, the process of obtaining abnormal values ​​is as follows:

[0019] When the dynamic water supply time of the dynamic water supply data is equal to the dynamic detection time of the dynamic point data, if the hierarchical pipeline interface point corresponding to the dynamic water supply data and the detection change point of the dynamic point data are in the same position within the water pipeline twin model, then the detection change point is recorded as the abnormal pipeline point, the pipeline hierarchy relationship of the hierarchical pipeline interface point is obtained and recorded as the abnormal pipeline hierarchy, and the dynamic water supply time of the dynamic water supply data or the dynamic detection time of the dynamic point data is recorded as the abnormal time;

[0020] Obtain the number of abnormalities at the same abnormal pipeline point, and obtain the abnormal frequency based on the number of abnormalities at the same abnormal pipeline point; set the possibility coefficient, and obtain the abnormal value of the abnormal pipeline point based on the possibility coefficient and the abnormal frequency.

[0021] Preferably, the process of obtaining abnormal feature data and status values ​​according to abnormal pipeline points and abnormal pipeline levels includes:

[0022] The position coordinates of the abnormal pipeline point are obtained, and the position coordinates, water pressure dynamic value, flow dynamic value and soil moisture dynamic value of the abnormal pipeline point are recorded as the abnormal characteristic data of the abnormal pipeline point; the number of times the abnormal characteristic data of the abnormal pipeline point corresponding to the same position coordinate is generated is obtained, and the generation frequency is obtained based on the generation number, and the state value of the abnormal pipeline point is obtained based on the generation frequency and the possibility coefficient.

[0023] Preferably, a pipeline state prediction model is constructed, and the pipeline state prediction model is analyzed to obtain predicted abnormality feature data and predicted abnormality time; and a process of obtaining a predicted state value based on the predicted abnormality feature data and predicted abnormality time includes:

[0024] Using several sets of abnormal feature data and abnormal time as training sets and test sets, and inputting the training sets and test sets into a pipeline state prediction model, training the pipeline state prediction model, obtaining a trained pipeline state prediction model, and obtaining predicted abnormal feature data and predicted abnormal time;

[0025] By predicting abnormal feature data and abnormal time, the predicted generation times of abnormal pipeline points are obtained. Based on the predicted generation times, the predicted generation frequency is obtained. The predicted state value is obtained by multiplying the predicted generation frequency with the possibility coefficient.

[0026] Preferably, a pipeline structure diagram is constructed based on the water pipeline twin model, the predicted state value, the state value, and the abnormal value. The process of leak-proofing the water supply system using the pipeline structure diagram includes:

[0027] According to the water pipeline twin model, the pipeline interface points of each level are obtained, the water pipeline distribution between the pipeline interface points of each level in the water pipeline twin model is obtained, and the pipeline links between the pipeline interface points of each level are constructed; through the pipeline links, the first-level pipeline interface points, the second-level pipeline interface points, the third-level pipeline interface points and the fourth-level pipeline interface points are linked, and the abnormal pipeline points and the abnormal pipeline levels are marked to the corresponding level pipeline interface points, and the abnormal values, state values ​​and predicted state values ​​of the abnormal pipeline points are analyzed. If the state value or predicted state value of the abnormal pipeline point is greater than the abnormal value, the migration value is obtained according to the state value or predicted state value and the abnormal value, and the migration direction is marked, and the state value or predicted state value is marked on the abnormal pipeline point; if the state value or predicted state value of the abnormal pipeline point is equal to the abnormal value, the abnormal state value or predicted state value is marked on the abnormal pipeline point to obtain the pipeline structure diagram;

[0028] Set an abnormal assessment threshold, analyze the mark value and abnormal assessment threshold on the abnormal pipeline point in the pipeline structure diagram, and obtain the leakage prevention processing point and leakage prevention attention point; analyze the leakage prevention processing point, generate multiple continuous leakage prevention processing signals, multiple intermittent leakage prevention processing signals and single leakage prevention processing signal, send the multiple continuous leakage prevention processing signals, multiple intermittent leakage prevention processing signals and single leakage prevention processing signal to the leakage prevention processing personnel respectively, and perform leakage prevention processing on the leakage prevention processing point.

[0029] The present invention also discloses a monitoring and anti-seepage device for a water supply system, comprising a management center, wherein the management center is communicatively connected to a water supply collection module, a water supply analysis module, a water supply prediction module, and a water supply leakage prevention module:

[0030] The water supply acquisition module is used to obtain pipeline construction data of the water supply system, analyze the pipeline construction data, build a twin model of the water pipeline, set up pipeline monitoring units, and obtain pipeline water supply data and dynamic water supply data;

[0031] The water supply analysis module is used to analyze the twin model of the water pipeline to obtain dynamic point data, analyze the dynamic water supply data and dynamic point data to obtain abnormal pipeline points and abnormal pipeline levels; and obtain abnormal values ​​based on the twin model of the water pipeline, abnormal pipeline points, and abnormal pipeline levels.

[0032] The water supply prediction module is used to obtain abnormal feature data and status values ​​based on abnormal pipeline points and abnormal pipeline levels, and to build a pipeline status prediction model. The pipeline status prediction model is analyzed to obtain predicted abnormal feature data and predicted abnormal time; based on the predicted abnormal feature data and predicted abnormal time, the predicted status value is obtained.

[0033] The water supply leakage prevention module is used to construct a pipeline structure diagram based on the water pipeline twin model, predicted state values, state values ​​and abnormal values, and to perform leakage prevention on the water supply system through the pipeline structure diagram.

[0034] Compared with the existing technology, the above technical scheme of the present invention has the following beneficial technical effects: constructing a twin model of the water supply pipeline to realize real-time monitoring of the water supply system pipeline; setting up a pipeline monitoring unit, combining dynamic water supply data and dynamic point data to obtain abnormal pipeline points and abnormal pipeline levels; obtaining abnormal values ​​according to the twin model of the water supply pipeline, abnormal pipeline points and abnormal pipeline levels, and improving the accuracy of abnormal identification through multi-data analysis, and locating the abnormal position; obtaining abnormal feature data and status values ​​according to the abnormal pipeline points and abnormal pipeline levels, and constructing a pipeline status prediction model, analyzing the pipeline status prediction model to obtain predicted abnormal feature data and predicted abnormal time; obtaining predicted status values ​​according to the predicted abnormal feature data and predicted abnormal time, realizing trend prediction of pipeline abnormalities, which is helpful for predictive leak prevention treatment; constructing a pipeline structure diagram to provide staff with precise, classified and graded disposal instructions, improve staff efficiency, and improve anti-seepage efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 The present invention is a flowchart of an embodiment of the present invention. DETAILED DESCRIPTION

[0036] Example 1, as Figure 1 As shown, the present invention proposes a method for monitoring and preventing seepage of a water supply system, comprising the following steps:

[0037] S1. Obtain pipeline construction data of the water supply system, analyze the pipeline construction data, build a twin model of the water pipeline, set up a pipeline monitoring unit, and obtain pipeline water supply data and dynamic water supply data;

[0038] S2. Analyze the water pipeline twin model to obtain dynamic point data, analyze the dynamic water supply data and the dynamic point data to obtain abnormal pipeline points and abnormal pipeline levels; obtain abnormal values ​​based on the water pipeline twin model, abnormal pipeline points, and abnormal pipeline levels;

[0039] S3. Obtain abnormal feature data and status values ​​based on the abnormal pipeline point and abnormal pipeline level, and build a pipeline status prediction model. Analyze the pipeline status prediction model to obtain predicted abnormal feature data and predicted abnormal time; obtain a predicted status value based on the predicted abnormal feature data and predicted abnormal time;

[0040] S4. Based on the twin model of the water pipeline, the predicted state value, the state value, and the abnormal value, a pipeline structure diagram is constructed, and the water supply system is leak-proofed through the pipeline structure diagram.

[0041] It should be further explained that in the specific implementation process, the process of obtaining pipeline construction data of the water supply system, analyzing the pipeline construction data, building a twin model of the water transmission pipeline, setting up the pipeline monitoring unit, and obtaining pipeline water supply data and dynamic water supply data is as follows:

[0042] The water supply system refers to the underground water transportation network system, which is composed of water intake, water transmission, water pressure, water distribution, water storage and other facilities;

[0043] The pipeline construction data includes water pipeline construction drawings and pipeline hierarchical relationships;

[0044] The pipeline hierarchy includes primary pipelines, secondary pipelines, tertiary pipelines, and quaternary pipelines. It should be further explained that, in the specific implementation process, the primary pipelines, secondary pipelines, tertiary pipelines, and quaternary pipelines refer to the main pipeline, trunk pipeline, branch pipeline, and user connection pipeline, respectively.

[0045] The water pipeline construction drawings include the water pipeline distribution location, water pipeline distribution direction, water pipeline connection relationship and water pipeline size, etc.;

[0046] Using the water pipeline construction drawings, the water pipelines in the actual water supply system are converted into a virtual three-dimensional model. Using the BIM model and the pipeline hierarchy, a twin model corresponding to the physical water pipeline is constructed to obtain a twin model of the water pipeline.

[0047] According to the water pipe connection relationship and the pipeline hierarchical relationship, the corresponding positions in the water pipe twin model are marked to obtain hierarchical pipeline interface points; the hierarchical pipeline interface points include first-level pipeline interface points, second-level pipeline interface points, third-level pipeline interface points and fourth-level pipeline interface points; through the hierarchical pipeline interface points, a pipeline monitoring unit is set at the water pipe connection, and the pipeline monitoring unit is equipped with a pressure sensor, a flow sensor, a humidity sensor and an electromagnetic sensor; the pipeline water supply data and dynamic water supply data of the hierarchical pipeline interface points are obtained through the pipeline monitoring unit; the pipeline water supply data includes water pressure value, flow value and soil moisture value; the dynamic water supply data refers to the update data of the pipeline water supply data, including the dynamic value of water pressure, dynamic value of flow, dynamic value of soil moisture and dynamic water supply time.

[0048] It should be further explained that in the specific implementation process, the water pipeline twin model is analyzed to obtain dynamic point data, and the dynamic water supply data and dynamic point data are analyzed to obtain abnormal pipeline points and abnormal pipeline levels. Based on the water pipeline twin model, abnormal pipeline points and abnormal pipeline levels, the process of obtaining abnormal values ​​is as follows:

[0049] Analyze the twin model of the water pipeline to obtain the detection point set and dynamic point data;

[0050] It should be further explained that, in the specific implementation process, the specific process of analyzing the twin model of the water pipeline is as follows: electromagnetic online detection is performed on the physical water pipeline corresponding to the twin model of the water pipeline through an electromagnetic sensor, and electromagnetic signals are received and collected. The electromagnetic signals are reflected by the steel wire structure in the physical water pipeline, and the electromagnetic signals are filtered, denoised and normalized, and key features are extracted. The electromagnetic signals are analyzed by an expert system to obtain the abnormal pipe joint position. The abnormal pipe joint position refers to the abnormal position of the steel wire in the water pipeline, which is usually the interface between the water pipe joints; through the abnormal pipe joint position, the hierarchical pipeline interface point corresponding to the abnormal pipe joint position is obtained, which is recorded as the detection point; electromagnetic online detection is performed on the physical water pipeline to obtain the detection change point, and the time from the electromagnetic online detection to the detection change point is obtained, which is recorded as the dynamic detection time, and the detection change point and the dynamic detection time are recorded as dynamic point data;

[0051] Analyze dynamic water supply data and dynamic point data to obtain abnormal pipeline points, abnormal pipeline levels and abnormal time;

[0052] It should be further explained that, in the specific implementation process, the specific process of analyzing the dynamic water supply data and the dynamic point data is as follows: when the dynamic water supply time of the dynamic water supply data is equal to the dynamic detection time of the dynamic point data, if the hierarchical pipeline interface point corresponding to the dynamic water supply data and the detection change point of the dynamic point data are consistent in position within the water pipeline twin model, then the detection change point is recorded as the abnormal pipeline point, the pipeline hierarchy relationship of the hierarchical pipeline interface point is obtained and recorded as the abnormal pipeline hierarchy, and the dynamic water supply time of the dynamic water supply data or the dynamic detection time of the dynamic point data is recorded as the abnormal time;

[0053] The number of abnormalities at the same abnormal pipeline point is counted, and the abnormal frequency of the same abnormal pipeline point is calculated; a probability coefficient is set, and the probability coefficient is related to a large amount of relevant historical data; the probability coefficient is multiplied by the abnormal frequency to obtain the abnormal value of the abnormal pipeline point.

[0054] It should be further explained that, in the specific implementation process, abnormal feature data and status values ​​are obtained based on abnormal pipeline points and abnormal pipeline levels, and a pipeline status prediction model is constructed. The pipeline status prediction model is analyzed to obtain predicted abnormal feature data and predicted abnormal time. The process of obtaining the predicted status value based on the predicted abnormal feature data and predicted abnormal time is as follows:

[0055] Obtain the location coordinates of the abnormal pipeline point, record the location coordinates, water pressure dynamic value, flow dynamic value, and soil moisture dynamic value of the abnormal pipeline point as abnormal characteristic data of the abnormal pipeline point; count the number of times the abnormal characteristic data of the abnormal pipeline point corresponding to the same location coordinate is generated, calculate the generation frequency of the abnormal characteristic data of the abnormal pipeline point corresponding to the same location coordinate, and multiply the generation frequency by the probability coefficient to obtain the status value of the abnormal pipeline point;

[0056] Using several sets of abnormal feature data and abnormal time as training sets and test sets, and inputting the training sets and test sets into a pipeline state prediction model, training the pipeline state prediction model to obtain a trained pipeline state prediction model, and obtaining predicted abnormal feature data and predicted abnormal time, wherein the predicted abnormal feature data includes predicted location coordinates, predicted water pressure values, predicted flow values, and predicted soil moisture values;

[0057] By predicting abnormal feature data and abnormal time, counting the number of predicted generation times of abnormal pipeline points, calculating the predicted generation frequency of abnormal pipeline points, and multiplying the predicted generation frequency with the possibility coefficient, the predicted state value is obtained.

[0058] It should be further explained that in the specific implementation process, a pipeline structure diagram is constructed based on the water pipeline twin model, predicted state value, state value and abnormal value. The process of leak prevention of the water supply system through the pipeline structure diagram is as follows:

[0059] According to the water pipeline twin model, the pipeline interface points of each layer are obtained, and the water pipe distribution between the pipeline interface points of each layer in the water pipeline twin model is obtained through the pipeline interface points of each layer. According to the water pipe distribution, the pipeline link between the pipeline interface points of each layer is constructed; through the pipeline link, the first-level pipeline interface point, the second-level pipeline interface point, the third-level pipeline interface point and the fourth-level pipeline interface point are linked, and the abnormal pipeline points and the abnormal pipeline levels are marked to the corresponding layer pipeline interface points. The abnormal values ​​and status values ​​of the abnormal pipeline points are analyzed. If If the state value or predicted state value of the abnormal pipeline point is greater than the abnormal value, the difference between the state value or predicted state value and the abnormal value is calculated and recorded as the migration value, and the migration value is marked on the pipeline link between the abnormal pipeline point and the abnormal pipeline point at the previous level, and the migration direction is marked. The migration direction is from the abnormal pipeline point at the previous level to the abnormal pipeline point, and the state value or predicted state value is marked on the abnormal pipeline point; if the state value or predicted state value of the abnormal pipeline point is equal to the abnormal value, the state value or predicted state value or the abnormal value is marked on the abnormal pipeline point to obtain a pipeline structure diagram;

[0060] An abnormality assessment threshold is set. If the mark value on the abnormal pipeline point in the pipeline structure diagram is greater than the abnormality assessment threshold, the abnormal pipeline point is recorded as a leak prevention processing point; if the mark value on the abnormal pipeline point in the pipeline structure diagram is less than or equal to the abnormality assessment threshold, the abnormal pipeline point is recorded as a leak prevention attention point; if there are multiple continuous leak prevention processing points at different levels and the pipeline link is marked with a migration value, a multi-continuous leak prevention processing signal is generated and sent to the leak prevention processing personnel to perform leak prevention processing between multiple leak prevention processing points; if there are multiple continuous leak prevention processing points at different levels and the pipeline link is not marked, a multi-intermittent leak prevention processing signal is generated and sent to the leak prevention processing personnel to perform leak prevention processing between multiple leak prevention processing points and leak prevention processing of a single leak prevention processing point; if there is a single leak prevention processing point at a different level, a single leak prevention processing signal is generated and sent to the leak prevention processing personnel to perform leak prevention processing between a single leak prevention processing point.

[0061] In the second embodiment, a monitoring and anti-seepage device for a water supply system proposed in the present invention is applied to the monitoring and anti-seepage method for a water supply system described in the first embodiment, specifically comprising a management center, which is communicatively connected to a water supply collection module, a water supply analysis module, a water supply prediction module, and a water supply leakage prevention module:

[0062] The water supply acquisition module is used to obtain pipeline construction data of the water supply system, analyze the pipeline construction data, build a twin model of the water pipeline, set up pipeline monitoring units, and obtain pipeline water supply data and dynamic water supply data;

[0063] The water supply analysis module is used to analyze the twin model of the water pipeline to obtain dynamic point data, analyze the dynamic water supply data and dynamic point data to obtain abnormal pipeline points and abnormal pipeline levels; and obtain abnormal values ​​based on the twin model of the water pipeline, abnormal pipeline points, and abnormal pipeline levels.

[0064] The water supply prediction module is used to obtain abnormal feature data and status values ​​based on abnormal pipeline points and abnormal pipeline levels, and to build a pipeline status prediction model. The pipeline status prediction model is analyzed to obtain predicted abnormal feature data and predicted abnormal time; based on the predicted abnormal feature data and predicted abnormal time, the predicted status value is obtained.

[0065] The water supply leakage prevention module is used to construct a pipeline structure diagram based on the water pipeline twin model, predicted state values, state values ​​and abnormal values, and to perform leakage prevention on the water supply system through the pipeline structure diagram.

[0066] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for monitoring and preventing seepage in a water supply system, characterized in that: The following steps are involved: S1. Obtain pipeline construction data of the water supply system, analyze the pipeline construction data, build a twin model of the water pipeline, set up a pipeline monitoring unit, and obtain pipeline water supply data and dynamic water supply data; S2. Analyze the twin model of the water pipeline to obtain dynamic point data, analyze the dynamic water supply data and dynamic point data to obtain abnormal pipeline points and abnormal pipeline levels; Obtain outliers based on the water pipeline twin model, abnormal pipeline points, and abnormal pipeline levels; S3. Obtain abnormal feature data and status values ​​based on abnormal pipeline points and abnormal pipeline levels, build a pipeline status prediction model, analyze the pipeline status prediction model, and obtain predicted abnormal feature data and predicted abnormal time; Obtain a predicted state value based on the predicted abnormal feature data and the predicted abnormal time; S4. Construct a pipeline structure diagram based on the water pipeline twin model, predicted state value, state value, and abnormal value, and perform leak prevention on the water supply system through the pipeline structure diagram; The process of obtaining pipeline construction data of the water supply system, analyzing the pipeline construction data, building a twin model of the water pipeline, setting up pipeline monitoring units, and obtaining pipeline water supply data and dynamic water supply data includes: Pipeline construction data includes water pipeline construction drawings and pipeline hierarchical relationships; The pipeline hierarchy includes primary, secondary, tertiary, and quaternary pipelines; the water pipeline construction drawings include the distribution location, direction, connection relationship, and dimensions of the water pipelines; Obtain a twin model of the water pipeline based on the water pipeline construction drawings and pipeline hierarchical relationships; According to the connection relationship of the water pipes and the pipeline hierarchy, the hierarchical pipeline interface points are obtained; the hierarchical pipeline interface points include the first-level pipeline interface points, the second-level pipeline interface points, the third-level pipeline interface points, and the fourth-level pipeline interface points; the pipeline monitoring unit is set through the hierarchical pipeline interface points; the pipeline water supply data and dynamic water supply data of the hierarchical pipeline interface points are obtained through the pipeline monitoring unit; the pipeline water supply data includes the water pressure value, the flow value, and the soil moisture value; the dynamic water supply data includes the dynamic value of the water pressure, the dynamic value of the flow, the dynamic value of the soil moisture, and the dynamic water supply time; The process of analyzing the twin model of the water pipeline and obtaining dynamic point data includes: Using electromagnetic sensors, the physical water pipeline corresponding to the twin model of the water pipeline is inspected online using the electromagnetic method to obtain the location of the abnormal pipe joint. Based on the location of the abnormal pipe joint, the inspection point is obtained. The physical water pipeline is inspected online using the electromagnetic method to obtain the inspection change point and the dynamic inspection time. The inspection change point and the dynamic inspection time are recorded as dynamic point data. The process of obtaining the status value includes: The number of times abnormal feature data of abnormal pipeline points corresponding to the same position coordinates is generated is obtained, and the generation frequency is obtained based on the number of generation times. The state value of the abnormal pipeline point is obtained based on the generation frequency and the possibility coefficient, and the possibility coefficient is related to a large amount of relevant historical data.

2. The method for monitoring and preventing seepage of a water supply system according to claim 1, characterized in that: The dynamic water supply data and dynamic point data are analyzed to obtain abnormal pipeline points and abnormal pipeline levels. Based on the water pipeline twin model, abnormal pipeline points and abnormal pipeline levels, the process of obtaining abnormal values ​​is as follows: When the dynamic water supply time of the dynamic water supply data is equal to the dynamic detection time of the dynamic point data, if the hierarchical pipeline interface point corresponding to the dynamic water supply data and the detection change point of the dynamic point data are in the same position within the water pipeline twin model, then the detection change point is recorded as the abnormal pipeline point, the pipeline hierarchy relationship of the hierarchical pipeline interface point is obtained and recorded as the abnormal pipeline hierarchy, and the dynamic water supply time of the dynamic water supply data or the dynamic detection time of the dynamic point data is recorded as the abnormal time; Obtain the number of abnormalities at the same abnormal pipeline point, and obtain the abnormal frequency based on the number of abnormalities at the same abnormal pipeline point; Set the possibility coefficient and obtain the abnormal value of the abnormal pipeline point based on the possibility coefficient and the abnormal frequency.

3. The method for monitoring and preventing seepage of a water supply system according to claim 2, characterized in that: The process of obtaining abnormal feature data based on abnormal pipeline points and abnormal pipeline levels includes: The position coordinates of the abnormal pipeline point are obtained, and the position coordinates, water pressure dynamic value, flow dynamic value, and soil moisture dynamic value of the abnormal pipeline point are recorded as abnormal characteristic data of the abnormal pipeline point.

4. The method for monitoring and preventing seepage of a water supply system according to claim 3, characterized in that: Construct a pipeline status prediction model, analyze the pipeline status prediction model, and obtain predicted abnormal feature data and predicted abnormal time; The process of obtaining the predicted state value based on the predicted abnormal feature data and the predicted abnormal time includes: Using several sets of abnormal feature data and abnormal time as training sets and test sets, and inputting the training sets and test sets into a pipeline state prediction model, training the pipeline state prediction model, obtaining a trained pipeline state prediction model, and obtaining predicted abnormal feature data and predicted abnormal time; By predicting abnormal feature data and abnormal time, the predicted generation times of abnormal pipeline points are obtained. Based on the predicted generation times, the predicted generation frequency is obtained. The predicted state value is obtained by multiplying the predicted generation frequency with the possibility coefficient.

5. The method for monitoring and preventing seepage of a water supply system according to claim 4, characterized in that: Based on the twin model of the water pipeline, the predicted state value, the state value, and the abnormal value, a pipeline structure diagram is constructed. The process of leak prevention of the water supply system using the pipeline structure diagram includes: According to the water pipeline twin model, the pipeline interface points of each level are obtained, the water pipeline distribution between the pipeline interface points of each level in the water pipeline twin model is obtained, and the pipeline links between the pipeline interface points of each level are constructed; through the pipeline links, the first-level pipeline interface points, the second-level pipeline interface points, the third-level pipeline interface points and the fourth-level pipeline interface points are linked, and the abnormal pipeline points and the abnormal pipeline levels are marked to the corresponding level pipeline interface points, and the abnormal values, state values ​​and predicted state values ​​of the abnormal pipeline points are analyzed. If the state value or predicted state value of the abnormal pipeline point is greater than the abnormal value, the migration value is obtained according to the state value or predicted state value and the abnormal value, and the migration direction is marked, and the state value or predicted state value is marked on the abnormal pipeline point; if the state value or predicted state value of the abnormal pipeline point is equal to the abnormal value, the abnormal state value or predicted state value is marked on the abnormal pipeline point to obtain the pipeline structure diagram; Set an abnormal assessment threshold, analyze the mark value and abnormal assessment threshold on the abnormal pipeline point in the pipeline structure diagram, and obtain the leakage prevention processing point and leakage prevention attention point; analyze the leakage prevention processing point, generate multiple continuous leakage prevention processing signals, multiple intermittent leakage prevention processing signals and single leakage prevention processing signal, send the multiple continuous leakage prevention processing signals, multiple intermittent leakage prevention processing signals and single leakage prevention processing signal to the leakage prevention processing personnel respectively, and perform leakage prevention processing on the leakage prevention processing point.

6. A monitoring and anti-seepage device for a water supply system, specifically applied to a monitoring and anti-seepage method for a water supply system according to any one of claims 1 to 5, comprising a management center, characterized in that: The management center is connected to the water supply collection module, water supply analysis module, water supply prediction module and water supply leakage prevention module: The water supply acquisition module is used to obtain pipeline construction data of the water supply system, analyze the pipeline construction data, build a twin model of the water pipeline, set up pipeline monitoring units, and obtain pipeline water supply data and dynamic water supply data; The water supply analysis module is used to analyze the twin model of the water pipeline to obtain dynamic point data, analyze the dynamic water supply data and dynamic point data, and obtain abnormal pipeline points and abnormal pipeline levels; Obtain outliers based on the water pipeline twin model, abnormal pipeline points, and abnormal pipeline levels; The water supply prediction module is used to obtain abnormal feature data and status values ​​based on abnormal pipeline points and abnormal pipeline levels, and to build a pipeline status prediction model. The pipeline status prediction model is analyzed to obtain predicted abnormal feature data and predicted abnormal time; based on the predicted abnormal feature data and predicted abnormal time, the predicted status value is obtained. The water supply leakage prevention module is used to construct a pipeline structure diagram based on the water pipeline twin model, predicted state values, state values ​​and abnormal values, and to perform leakage prevention on the water supply system through the pipeline structure diagram.

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