Detection system and method for leakage of water service pipe network

Abstract

The invention discloses a system and a method for detecting leakage of a water service pipe network, and relates to the technical field of leakage detection of the water service pipe network. The method comprises the following steps of project equipment, intelligent data acquisition and analysis, data transmission and processing, intelligent data processing platform and automatic management and early warning. According to the invention, an intelligent monitoring and prediction system is introduced, so that a water supply company can deeply analyze historical data and real-time data based on big data and a machine learning technology. The system can identify potential hot spots of leakage and analyze a water flow mode and a change trend thereof, so that early warning can be performed in time before a problem occurs. The prediction capability greatly improves the accuracy of leakage detection, a manager can know which areas are more likely to have faults through a clear data view and carry out targeted maintenance, finally, the leakage rate is effectively reduced, and economic losses caused by large-scale water shortage or facility damage are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of water pipe network leakage detection, and in particular to a water pipe network leakage detection system and method. Background Art

[0002] Water pipe network leakage detection refers to the process of identifying and locating possible leaks or seepage in the water supply network through a series of technologies and methods. This process includes the use of real-time monitoring equipment, sensors, acoustic wave detectors, infrared thermal imaging and other modern technical means, combined with data analysis and prediction models, to continuously monitor the pressure and flow changes of the pipe network. Effective leakage detection can help to timely discover potential problems, reduce the waste of water resources, and improve the operating efficiency and reliability of the water supply system, thereby ensuring the water safety of residents and enterprises; However, the existing system cannot timely monitor and predict leakage in the pipe network, resulting in frequent water leakage incidents, which not only increases the waste of water resources, but also causes a significant increase in operating costs. The lack of real-time pressure and flow data will make leakage detection and maintenance work dependent on manual inspections, thereby prolonging the leakage repair time and affecting the stability and efficiency of the water supply system. In addition, the lack of data integration and historical analysis functions will make it difficult for managers to identify risk points in pipe network operation and formulate effective maintenance strategies, thereby reducing overall management efficiency and service quality. In response to the above problems, the inventor proposes a detection system and method for water pipe network leakage to solve the above problems. Summary of the invention

[0003] In order to solve the problems of frequent water leakage, waste of resources, increased operating costs due to lack of timely leakage monitoring and prediction capabilities, and prolonged repair time due to reliance on manual inspections, affecting system stability and management efficiency; the purpose of the present invention is to provide a detection system and method for water pipe network leakage.

[0004] In order to solve the above technical problems, the present invention adopts the following technical solution: a system and method for detecting leakage in a water pipe network, comprising the following steps: S1. Project equipment: electromagnetic water meter, insertion ultrasonic flow meter and pressure transmitter; S2. Intelligent data collection and analysis: including multi-parameter water quality meters and online residual chlorine and pH analyzers; S3, data transmission and processing; S4, Intelligent data processing platform: optimization strategy combining pressure management with DMA, real-time monitoring and anomaly detection of minimum nighttime flow, leakage trend prediction based on big data, automation of zero pressure testing, precise positioning technology integrating acoustic leak detector and DMA, and establishment of a comprehensive data platform; S5. Automated management and early warning: Application of intelligent DMA partitioning technology, adaptive data processing and early warning system, data storage and historical records.

[0005] A method for use in a water pipe network leakage detection system, comprising the following steps: Step 1: Data collection: Use electromagnetic water meters, insertion ultrasonic flow meters and pressure transmitters to collect flow and pressure data in real time, and obtain water quality data through multi-parameter water quality meters and online residual chlorine and pH analyzers; Step 2: Data transmission and integration: Using communication protocols such as MODBUS and RS485, the collected data is transmitted to the central data processing platform for aggregation and storage; Step 3: Data analysis: Implement intelligent DMA zoning management, use historical data and real-time data to analyze the health status of the water supply network, identify abnormal fluctuations through data mining technology, and combine flow monitoring and pressure changes to locate and evaluate leakage sources; Step 4: Abnormal detection and early warning: Based on real-time monitoring data, set thresholds for abnormal detection. Once there is a sign of leakage, the system immediately triggers an early warning and notifies the pipeline maintenance personnel.

[0006] Compared with the prior art, the present invention has the following beneficial effects: 1. By introducing an intelligent monitoring and prediction system in the present invention, water supply companies can conduct in-depth analysis of historical and real-time data based on big data and machine learning technology. This system can identify potential hot spots for leakage, analyze water flow patterns and their changing trends, and thus provide timely warnings before problems occur. This predictive capability greatly improves the accuracy of leakage detection. Managers can understand which areas are more prone to failure through clear data views and perform targeted maintenance. Ultimately, this will effectively reduce leakage rates and avoid economic losses caused by large-scale water shortages or facility damage; 2. The present invention introduces an automated testing and early warning mechanism, making leakage detection and water pressure assurance more efficient and frequent. This mechanism can quickly identify abnormal situations and issue early warnings by monitoring flow and pressure in real time. For example, when the water pressure suddenly rises or the flow fluctuates abnormally, the system will immediately notify the relevant management positions without relying on manual inspections. All this means that the management team can respond to potential leakage risks more quickly, quickly organize repairs, reduce water waste, and reduce the burden of emergency response, thereby improving the operating efficiency of the entire water supply system; 3. In the present invention, by establishing a comprehensive data platform and historical analysis, managers of water supply companies can obtain a more comprehensive perspective to evaluate the operating status of the pipeline network. This platform can update various pipeline network parameters in real time, use historical data for trend analysis, and help management better understand the weak links of the pipeline network. Based on this information, managers can formulate more accurate and reasonable maintenance plans to avoid unnecessary waste of resources. More importantly, historical data provides background information to help decision makers trace the causes of leakage, continuously optimize leakage control strategies, and ultimately achieve efficient and sustainable development of the water supply system. Integrated data and intelligent analysis allow managers to not only deal with current problems, but also plan future water supply strategies to maximize the efficiency and sustainability of overall water supply management. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0008] Figure 1 It is a schematic diagram of the system flow of the present invention; Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

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

[0010] like Figure 1 As shown, the present invention provides a system and method for detecting leakage in a water pipe network, comprising the following steps: S1. Project equipment: electromagnetic water meter, insertion ultrasonic flow meter and pressure transmitter; S2. Intelligent data collection and analysis: including multi-parameter water quality meters and online residual chlorine and pH analyzers; S3, data transmission and processing; S4, Intelligent data processing platform: optimization strategy combining pressure management with DMA, real-time monitoring and anomaly detection of minimum nighttime flow, leakage trend prediction based on big data, automation of zero pressure testing, precise positioning technology integrating acoustic leak detector and DMA, and establishment of a comprehensive data platform; S5. Automated management and early warning: Application of intelligent DMA partitioning technology, adaptive data processing and early warning system, data storage and historical records.

[0011] Electromagnetic water meter in S1: Electromagnetic water meter is used to measure water flow in real time in water supply network, and has remote data transmission function. Its core technology complies with multiple national standards such as GB / T 778-2007, "Measurement of water flow in closed full pipes - drinking cold water meter and hot water meter", and supports two-way instantaneous and cumulative flow measurement. This device provides an accurate data collection source for leakage detection, and the software can use this data to perform leakage analysis and network risk prediction; Insertion ultrasonic flowmeter in S1: Insertion ultrasonic flowmeter is used for zoning metering of water supply network. It can support installation and maintenance without water outage and has extremely high vibration resistance. The device is suitable for various pipes and supports multiple power supply methods (such as mains, solar energy, and battery power). The software can monitor the flow changes of water supply network through the data collected by the flowmeter, analyze the health status of the water supply network and warn of possible leakage; Pressure transmitter in S1: The pressure transmitter is used to monitor pressure changes in the water supply network. It has high-precision display and sensing functions. The software can perform pressure analysis through real-time pressure data and issue leakage warnings when abnormalities occur, helping users to detect and solve pressure problems in the water supply network in a timely manner.

[0012] Multi-parameter water quality meter in S2: This device integrates multiple parameters such as residual chlorine, pH, conductivity, temperature, etc., supports self-cleaning function, and transmits data through MODBUS protocol. The software can obtain real-time data related to water quality through this device, and conduct comprehensive analysis in combination with other data such as water flow and pressure, so as to monitor the health status of the water supply network in real time and detect abnormalities; Online residual chlorine and pH analyzer in S2: It can monitor the residual chlorine and pH value in the water supply in real time, helping water companies to grasp the key indicators of water quality. The software can combine these data to conduct a health assessment of the overall operating status of the water supply network and make trend predictions based on historical data.

[0013] Data transmission and processing in S3: The equipment in the project has multiple communication protocols (such as MODBUS, RS485, etc.) and remote transmission capabilities. The software can realize data transmission between devices through these communication interfaces and build a comprehensive pipeline network monitoring platform. At the same time, it supports remote data upload and fault alarm, further improving the efficiency and intelligence level of management.

[0014] By adopting the above technical solutions and introducing intelligent monitoring and prediction systems, water supply companies can conduct in-depth analysis of historical and real-time data based on big data and machine learning technologies. This system can identify potential hot spots for leakage, analyze water flow patterns and their changing trends, and thus provide timely warnings before problems occur. This predictive capability greatly improves the accuracy of leakage detection. Managers can understand which areas are more prone to failure through clear data views and perform targeted maintenance. Ultimately, this will effectively reduce leakage rates and avoid economic losses caused by large-scale water shortages or facility damage.

[0015] Optimization strategy combining pressure management and DMA in S4: The article mentioned that pressure is closely related to leakage rate. You can combine pressure control with DMA zoning technology through an intelligent pressure management system to optimize the water pressure in different areas. The system can automatically adjust the pressure of each zone, reduce the pressure peak in the pipe network, and reduce the probability of leakage. It can significantly reduce the risk of water pipe bursts and leaks, extend the service life of the water supply network, and improve the overall efficiency of leakage management; Real-time monitoring and anomaly detection of minimum nighttime flow in S4: Minimum nighttime flow is usually used to assess leakage. A functional module for real-time monitoring of minimum nighttime flow is designed in the project. Combined with historical data, anomaly detection and automatic warning are performed to detect leakage problems in advance and arrange maintenance. By adopting the above technical solution, through real-time analysis of the minimum nighttime flow, potential leakage areas in the pipe network can be quickly identified, resource waste can be reduced, and water resource utilization can be improved; Leakage trend prediction based on big data in S4: Leakage control requires in-depth analysis of historical data. Through big data technology, past leakage situations are analyzed, and machine learning algorithms are combined to predict future leakage trends, deploy maintenance plans in advance, and help water supply companies better plan pipeline maintenance and repair work, avoid sudden water leakage incidents, and improve the stability of the water supply system; Automation of zero pressure testing in S4: Zero pressure testing is a key step in DMA technology to verify the tightness of the pipeline network. The introduction of an automated zero pressure testing system automatically performs the test and generates reports through sensors and data monitoring systems, reducing manual operations and improving efficiency. It can ensure the accuracy of each test, reduce the impact of human factors, and speed up the progress of inspection and maintenance; S4 integrates the precise positioning technology of acoustic leak detector and DMA: The acoustic leak detector is an important tool for accurately locating leaks. Combining this technology with DMA partition monitoring, the detection data of the acoustic device is integrated with the flow and pressure data of the DMA partition to achieve more accurate leakage point positioning, which can greatly improve the speed of leak point discovery and reduce the waste of leakage time and water resources; The establishment of a comprehensive data platform in S4: a comprehensive platform for multi-dimensional data such as pressure, flow, minimum night flow, leakage rate, etc. of the integrated pipeline network, which is updated in real time and displayed visually. It can provide functions such as historical data analysis, leakage trend prediction, and pressure regulation. This platform can provide managers with a comprehensive perspective, helping them to manage pipeline network operations more efficiently and make timely decisions; By adopting the above technical solutions and introducing an automated testing and early warning mechanism, leak detection and water pressure assurance work can be made more efficient and frequent. This mechanism can quickly identify abnormal situations and issue early warnings by monitoring flow and pressure in real time. For example, when water pressure suddenly increases or flow fluctuates abnormally, the system will immediately notify relevant management positions without relying on manual inspections. All this means that the management team can respond to potential leak risks more quickly, quickly organize repairs, reduce water waste, and reduce the burden of emergency response, thereby improving the operational efficiency of the entire water supply system.

[0016] Application of intelligent DMA zoning technology in S5: Traditional DMA (water supply zoning metering) technology has provided an effective means for leakage detection. By introducing an intelligent data monitoring system, real-time monitoring, data analysis, alarm and other functions are integrated into one platform, so that DMA technology can be managed automatically, leakage areas can be located in real time, and future leakage risks can be predicted through big data analysis, which improves monitoring efficiency, reduces human errors, and further improves the operational safety and stability of the water supply network; Adaptive data processing and early warning system in S5: The equipment in the project can monitor key data such as flow and pressure in real time, and perform adaptive analysis on the collected data through embedded software algorithms. When the equipment detects abnormal conditions (such as a sudden increase in water pressure or fluctuations in flow), the system can automatically conduct risk assessment and issue leakage warnings in real time. The system has learning capabilities and can gradually optimize the early warning model based on historical data to reduce false alarms and missed alarms; By adopting the above technical solutions, the adaptive early warning system can quickly identify problems at the early stage of leakage, reduce water waste, and reduce maintenance costs. Reduce manual intervention: The system automatically issues early warnings, which can reduce the frequency of manual inspections and improve the automation of pipe network management. Optimize maintenance decisions: The early warning system can provide managers with accurate information on the location and severity of leakage, helping them make reasonable decisions and reduce water supply interruption time; Data storage and history in S5: The data storage function of the device can not only record real-time flow and pressure data, but also support long-term storage of historical records. By analyzing these historical data, the software can generate detailed leakage trend analysis reports to help users review data. Historical data provides a basis for future leakage prediction and problem location. Users can identify potential risk points in advance based on past trends and patterns, and perform preventive maintenance before problems occur; by storing and analyzing historical data, identify weak links in the pipeline network, and take action before leakage problems become serious. Improve the accuracy of maintenance plans: Based on historical data, managers can develop more accurate maintenance plans to avoid unnecessary repairs and waste of resources. Improve leakage management efficiency: Historical records provide decision makers with comprehensive background information to facilitate tracing the causes of leakage, and also help to continuously optimize leakage control strategies and improve the management efficiency of the entire water supply system.

[0017] By adopting the above technical solutions and establishing a comprehensive data platform and historical analysis, managers of water supply companies can obtain a more comprehensive perspective to evaluate the operating status of the pipeline network. This platform can update various pipeline network parameters in real time, use historical data for trend analysis, and help management better understand the weak links of the pipeline network. Based on this information, managers can formulate more accurate and reasonable maintenance plans to avoid unnecessary waste of resources. More importantly, historical data provides background information to help decision makers trace the causes of leakage, continuously optimize leakage control strategies, and ultimately achieve efficient and sustainable development of the water supply system. Integrated data and intelligent analysis allow managers to not only deal with current problems, but also plan future water supply strategies to maximize the efficiency and sustainability of overall water supply management.

[0018] A method for use in a water pipe network leakage detection system, comprising the following steps: Step 1: Data collection: Use electromagnetic water meters, insertion ultrasonic flow meters and pressure transmitters to collect flow and pressure data in real time, and obtain water quality data through multi-parameter water quality meters and online residual chlorine and pH analyzers; Step 2: Data transmission and integration: Using communication protocols such as MODBUS and RS485, the collected data is transmitted to the central data processing platform for aggregation and storage; Step 3: Data analysis: Implement intelligent DMA zoning management, use historical data and real-time data to analyze the health status of the water supply network, identify abnormal fluctuations through data mining technology, and combine flow monitoring and pressure changes to locate and evaluate leakage sources; Step 4: Abnormal detection and early warning: Based on real-time monitoring data, set thresholds for abnormal detection. Once leakage signs appear, the system immediately triggers an early warning and notifies the network maintenance personnel; By adopting the above technical solutions, real-time monitoring and early warning can be achieved, so as to quickly identify and locate the leakage points in the pipe network, significantly improving the timeliness and efficiency of leakage repair. At the same time, the system's comprehensive data analysis capabilities help optimize the management and maintenance strategies of the water supply network and reduce water resource waste and operating costs.

[0019] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A water pipe network leakage detection system, characterized in that: The following steps are involved: S1. Project equipment: electromagnetic water meter, insertion ultrasonic flow meter and pressure transmitter; S2. Intelligent data collection and analysis: including multi-parameter water quality meters and online residual chlorine and pH analyzers; S3, data transmission and processing; S4, Intelligent data processing platform: optimization strategy combining pressure management with DMA, real-time monitoring and anomaly detection of minimum nighttime flow, leakage trend prediction based on big data, automation of zero pressure testing, precise positioning technology integrating acoustic leak detector and DMA, and establishment of a comprehensive data platform; S5. Automated management and early warning: Application of intelligent DMA partitioning technology, adaptive data processing and early warning system, data storage and historical records.

2. A water pipe network leakage detection system as claimed in claim 1, characterized in that: Electromagnetic water meter in S1: Electromagnetic water meter is used to measure water flow in real time in water supply network and has remote data transmission function. This device provides an accurate data collection source for leakage detection. The software can use this data to perform leakage analysis and network risk prediction; Insertion ultrasonic flow meter in S1: Insertion ultrasonic flow meter is used for zoning metering of water supply network. It can support installation and maintenance without water outage and has extremely high vibration resistance. The device is suitable for various pipe materials and supports multiple power supply modes. The software can monitor the flow changes of water supply network through the data collected by the flow meter, analyze the health status of the water supply network and warn of possible leakage; Pressure transmitter in S1: The pressure transmitter is used to monitor pressure changes in the water supply network. It has high-precision display and sensing functions. The software can perform pressure analysis through real-time pressure data and issue leakage warnings when abnormalities occur, helping users to detect and solve pressure problems in the water supply network in a timely manner.

3. A water pipe network leakage detection system as claimed in claim 1, characterized in that: Multi-parameter water quality meter in S2: This device integrates multiple parameters such as residual chlorine, pH, conductivity, and temperature, supports self-cleaning function, and transmits data through MODBUS protocol. The software can obtain real-time data related to water quality through this device, and conduct comprehensive analysis in combination with other data such as water flow and pressure, so as to monitor the health status of the water supply network in real time and detect abnormalities; Online residual chlorine and pH analyzer in S2: It can monitor the residual chlorine and pH value in the water supply in real time, helping water companies to grasp the key indicators of water quality. The software can combine these data to conduct a health assessment of the overall operating status of the water supply network and make trend predictions based on historical data.

4. A water pipe network leakage detection system as claimed in claim 1, characterized in that: Data transmission and processing in S3: The equipment in the project has multiple communication protocols and remote transmission capabilities. The software can realize data transmission between devices through these communication interfaces and build a comprehensive pipeline network monitoring platform. At the same time, it supports remote data upload and fault alarm, further improving the efficiency and intelligence level of management.

5. A water pipe network leakage detection system as claimed in claim 1, characterized in that: The optimization strategy of combining pressure management with DMA in S4: Through the intelligent pressure management system, the pressure control is combined with the DMA zoning technology to optimize the water pressure in different areas. The pressure of each zone can be automatically adjusted to reduce the pressure peak in the pipe network and reduce the probability of leakage. It can significantly reduce the risk of water pipe burst and leakage, extend the service life of the water supply network, and improve the overall efficiency of leakage management; Real-time monitoring and anomaly detection of minimum nighttime flow in S4: Minimum nighttime flow is usually used to assess leakage. A functional module for real-time monitoring of minimum nighttime flow is designed in the project. Combined with historical data, anomaly detection and automatic warning are performed to detect leakage problems in advance and arrange maintenance. Leakage trend prediction based on big data in S4: Leakage control requires in-depth analysis of historical data. Through big data technology, past leakage situations are analyzed, and machine learning algorithms are combined to predict future leakage trends, deploy maintenance plans in advance, and help water supply companies better plan pipeline maintenance and repair work, avoid sudden water leakage incidents, and improve the stability of the water supply system; Automation of zero pressure testing in S4: Zero pressure testing is a key step in DMA technology to verify the tightness of the pipeline network. The introduction of an automated zero pressure testing system automatically performs the test and generates reports through sensors and data monitoring systems, reducing manual operations and improving efficiency. It can ensure the accuracy of each test, reduce the impact of human factors, and speed up the progress of inspection and maintenance; S4 integrates the precise positioning technology of acoustic leak detector and DMA: The acoustic leak detector is an important tool for accurately locating leaks. Combining this technology with DMA partition monitoring, the detection data of the acoustic device is integrated with the flow and pressure data of the DMA partition to achieve more accurate leakage point positioning, which can greatly improve the speed of leak point discovery and reduce the waste of leakage time and water resources; The establishment of a comprehensive data platform in S4: a multi-dimensional data platform integrating the pressure, flow, minimum night flow, and leakage rate of the integrated pipeline network, which is updated in real time and displayed visually. It can provide historical data analysis, leakage trend prediction, and pressure control functions. This platform can provide managers with a comprehensive perspective, helping them to manage pipeline operations more efficiently and make timely decisions.

6. A water pipe network leakage detection system as claimed in claim 1, characterized in that: Application of intelligent DMA partitioning technology in S5: Traditional DMA technology has provided an effective means for leakage detection. By introducing an intelligent data monitoring system, real-time monitoring, data analysis, alarm and other functions are integrated into one platform, so that DMA technology can be managed automatically, leakage areas can be located in real time, and future leakage risks can be predicted through big data analysis, which improves monitoring efficiency, reduces human errors, and further improves the operational safety and stability of the water supply network; Adaptive data processing and early warning system in S5: The equipment in the project can monitor key data such as flow and pressure in real time, and perform adaptive analysis on the collected data through embedded software algorithms. When the equipment detects an abnormal situation, the system can automatically conduct risk assessment and issue a leakage warning in real time. The system has learning capabilities and can gradually optimize the early warning model based on historical data to reduce false alarms and missed alarms; Data storage and history in S5: The data storage function of the device can not only record real-time flow and pressure data, but also support long-term storage of historical records. By analyzing these historical data, the software can generate detailed leakage trend analysis reports to help users review data. Historical data provides a basis for future leakage prediction and problem location. Users can identify potential risk points in advance based on past trends and patterns, and perform preventive maintenance before problems occur.

7. A method for detecting water pipe network leakage according to any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: Data collection: Use electromagnetic water meters, insertion ultrasonic flow meters and pressure transmitters to collect flow and pressure data in real time, and obtain water quality data through multi-parameter water quality meters and online residual chlorine and pH analyzers; Step 2: Data transmission and integration: Using MODBUS and RS485 communication protocols, the collected data is transmitted to the central data processing platform for aggregation and storage; Step 3: Data analysis: Implement intelligent DMA zoning management, use historical data and real-time data to analyze the health status of the water supply network, identify abnormal fluctuations through data mining technology, and combine flow monitoring and pressure changes to locate and evaluate leakage sources; Step 4: Abnormal detection and early warning: Based on real-time monitoring data, set thresholds for abnormal detection. Once there is a sign of leakage, the system immediately triggers an early warning and notifies the pipeline maintenance personnel.

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