Intelligent monitoring and comprehensive maintenance system for municipal pipe network

Abstract

The invention relates to the technical field of municipal pipe network monitoring and maintenance, in particular to a municipal pipe network intelligent monitoring and comprehensive maintenance system, which is characterized in that a water supply pipe network node is provided with a data monitoring and acquisition module, and the data monitoring and acquisition module is connected with a data transmission module; the data processing module transmits data to an intelligent early warning and analysis module after the data is processed by the data processing module, and the intelligent early warning and analysis module is connected with a comprehensive maintenance management module. The data monitoring and collecting module is installed at the water supply pipe network node to comprehensively and accurately monitor and collect data in real time, the hybrid communication network and the edge computing gateway are adopted, the data are efficiently and stably transmitted and preprocessed, reliability and safety are improved, the block chain storage and artificial intelligence analysis platform is utilized, pipe network state diagnosis, fault early warning and trend prediction are assisted, and the system has a good application prospect. The intelligent early warning, analysis and comprehensive maintenance management module timely finds, locates and responds to pipe network faults, ensures safe and stable operation, improves efficiency and quality, and reduces cost.

Description

Technical Field

[0001] The present invention relates to the technical field of municipal pipe network monitoring and maintenance, and in particular to an intelligent monitoring and comprehensive maintenance system for a municipal pipe network. Background Art

[0002] As the source of life, the quality of water plays a decisive role in human health. As the public's pursuit of quality of life improves, the stability and safety of water quality in urban water supply networks have become the focus of attention.

[0003] At present, water quality monitoring of water supply in most cities is mainly concentrated in water plants. In the pipeline network, the risk of water pollution increases due to aging, corrosion and other problems. The uneven distribution of monitoring points in the pipeline network often causes water quality problems in the process of water transportation due to pipeline pollution, affecting users' drinking water and production. At the same time, the maintenance of the pipeline network mostly relies on regular manual inspections and emergency treatment after the failure occurs. This traditional maintenance method is not only inefficient, but also difficult to detect potential hidden dangers in time before the failure occurs. Manual inspections may have omissions and cannot fully cover the huge and complex pipeline system. It is even more difficult to detect hidden faults such as small leaks and internal corrosion. Post-emergency treatment often causes large economic losses and social impacts, such as large-scale water outages and road waterlogging caused by burst pipes.

[0004] Therefore, it is necessary to develop an intelligent monitoring and comprehensive maintenance system for municipal pipe networks to solve the above-mentioned problems existing in the prior art. Summary of the invention

[0005] The technical problem to be solved by the present invention is to overcome the defects of the above-mentioned technologies and provide a municipal pipe network intelligent monitoring and comprehensive maintenance system.

[0006] To achieve the above objectives, the present invention provides a municipal pipeline intelligent monitoring and comprehensive maintenance system, including a water supply pipeline, a data monitoring and acquisition module, a data transmission module, a data receiving module, a data processing module, an intelligent early warning and analysis module and a comprehensive maintenance management module. The water supply pipeline node is installed with a data monitoring and acquisition module, and the data monitoring and acquisition module includes a water quality sensor, an intelligent pressure and flow integrated sensor, an intelligent video surveillance camera and a distributed optical fiber sensor. The data monitoring and acquisition module is connected to a data transmission module, and the data transmission module includes a hybrid communication network and an edge computing gateway. The data processing module includes a blockchain data storage module and an artificial intelligence data analysis platform. The data is processed by the data processing module and transmitted to the intelligent early warning and analysis module, and the intelligent early warning and analysis module is connected to a comprehensive maintenance management module.

[0007] Furthermore, the water supply network nodes include water sources, pumping stations, pipe network branch points, valve wells and user ends.

[0008] Furthermore, the water quality sensor includes a pH sensor, a turbidity sensor, a residual chlorine sensor, a heavy metal sensor and an organic matter sensor; the intelligent pressure and flow integrated sensor identifies the water flow state and pressure fluctuation in the pipeline network and discovers potential pipeline blockage and leakage problems by synchronously collecting and analyzing the pressure and flow data in the pipeline. The built-in self-organizing network module of the intelligent pressure and flow integrated sensor has wireless self-organizing network capability and can automatically interact and communicate with surrounding sensors for data; the intelligent video surveillance camera is arranged at the node of the water supply pipeline network to automatically identify abnormal conditions in the surrounding environment of the pipeline network; the distributed optical fiber sensor is laid in the key sections of the water supply pipeline network to realize continuous distributed monitoring of physical quantities such as temperature and strain along the pipeline network.

[0009] Furthermore, the hybrid communication network is a hybrid communication network based on 5G, NB-IoT, LoRa and optical fiber. For video surveillance images and high-precision water quality data, 5G network is preferentially used for transmission to ensure fast and stable data transmission; for sensor data in remote areas or areas with difficult wiring, NB-IoT or LoRa low-power wide area network technology is used for transmission; for areas close to the data center and with good wiring conditions, optical fiber is used for high-speed and reliable data transmission.

[0010] Furthermore, the edge computing gateway is set in each monitoring area to perform preliminary processing and analysis on the data collected by the data monitoring and collection module, complete data filtering, feature extraction and anomaly detection operations locally, and transmit key data and abnormal alarm information to the data center.

[0011] Furthermore, the artificial intelligence data analysis platform uses a deep neural network algorithm to analyze water quality, pressure and flow data, establishes a water quality prediction model, a pipeline fault prediction model and an operation optimization model, and through the learning and mining of historical data and real-time data, realizes intelligent diagnosis of the pipeline operation status, fault warning and trend prediction.

[0012] Furthermore, the intelligent early warning and analysis module includes a real-time holographic monitoring module, an intelligent water quality diagnosis and tracing module, a fault prediction module and an intelligent maintenance module. The real-time holographic monitoring module obtains real-time and accurate information on the operation of the pipe network and the information on the surrounding environment and hidden faults of the pipe network by real-time monitoring of the data monitoring and acquisition module; the intelligent water quality diagnosis and tracing module conducts in-depth analysis of the information of the data monitoring and acquisition module, accurately diagnoses abnormal water quality problems, traces the source of water pollution by analyzing the pipe network topology and water flow direction, and establishes a water quality change archive by combining the historical water quality data and real-time monitoring data stored in the blockchain; the fault early warning module The detection module uses a fault prediction model constructed based on the data collected by the data monitoring and acquisition module and the historical data of the blockchain storage module to provide early warning of possible faults in the pipeline network, and gives the probability and estimated time of the fault. According to the type and severity of the fault, the corresponding self-healing mechanism is automatically started. The self-healing mechanism includes adjusting the valve opening and switching the water supply line, so as to alleviate the impact of the fault and reduce the loss caused by the fault. Based on the data processing module, the intelligent maintenance module provides maintenance personnel with maintenance methods, equipment and materials required for maintenance, and maintenance plan suggestions arranged by maintenance personnel, tracks and manages the entire maintenance process, and updates the maintenance progress and effect evaluation in real time.

[0013] Advantages of the invention: The invention provides an intelligent monitoring and comprehensive maintenance system for a municipal pipeline network. By installing a comprehensive data monitoring and acquisition module at the water supply pipeline network node, including a water quality sensor, an intelligent integrated pressure and flow sensor, an intelligent video surveillance camera and a distributed optical fiber sensor, real-time monitoring and data acquisition of the pipeline network operation status is realized, and the accuracy and comprehensiveness of the monitoring are effectively improved. The hybrid communication network and edge computing gateway are adopted to ensure the efficient and stable transmission and preliminary processing of data, reduce the delay and cost of data transmission, and improve the reliability and security of the data. Through the blockchain data storage module and the artificial intelligence data analysis platform, the storage, management and in-depth analysis of massive data are realized, which provides strong support for the diagnosis of the pipeline network operation status, fault warning and trend prediction. The intelligent warning and analysis module and the comprehensive maintenance management module realize the timely discovery, precise positioning and rapid response of pipeline network faults, and provide all-round guarantee for the safe and stable operation of the pipeline network. At the same time, the maintenance process is optimized, the maintenance efficiency and quality are improved, and the maintenance cost is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flow chart of a municipal pipe network intelligent monitoring and comprehensive maintenance system of the present invention. DETAILED DESCRIPTION

[0015] The technical solution of the present invention is not limited to the specific implementation modes listed below, but also includes any reasonable combination of the specific implementation modes.

[0016] The present invention provides a municipal pipe network intelligent monitoring and comprehensive maintenance system, including a water supply pipe network, a data monitoring and acquisition module, a data transmission module, a data receiving module, a data processing module, an intelligent early warning and analysis module and a comprehensive maintenance management module. The water supply pipe network node is installed with a data monitoring and acquisition module, and the data monitoring and acquisition module includes a water quality sensor, an intelligent pressure and flow integrated sensor, an intelligent video surveillance ball camera and a distributed optical fiber sensor. The data monitoring and acquisition module is connected to a data transmission module, and the data transmission module includes a hybrid communication network and an edge computing gateway. The data processing module includes a blockchain data storage module and an artificial intelligence data analysis platform. The data is processed by the data processing module and transmitted to the intelligent early warning and analysis module, and the intelligent early warning and analysis module is connected to a comprehensive maintenance management module.

[0017] Furthermore, the water supply network nodes include water sources, pumping stations, pipe network branch points, valve wells and user ends.

[0018] Furthermore, the water quality sensor includes a pH sensor, a turbidity sensor, a residual chlorine sensor, a heavy metal sensor and an organic matter sensor; the intelligent pressure and flow integrated sensor identifies the water flow state and pressure fluctuation in the pipeline network and discovers potential pipeline blockage and leakage problems by synchronously collecting and analyzing the pressure and flow data in the pipeline. The built-in self-organizing network module of the intelligent pressure and flow integrated sensor has wireless self-organizing network capability and can automatically interact and communicate with surrounding sensors for data; the intelligent video surveillance camera is arranged at the node of the water supply pipeline network to automatically identify abnormal conditions in the surrounding environment of the pipeline network; the distributed optical fiber sensor is laid in the key sections of the water supply pipeline network to realize continuous distributed monitoring of physical quantities such as temperature and strain along the pipeline network.

[0019] Furthermore, the hybrid communication network is a hybrid communication network based on 5G, NB-IoT, LoRa and optical fiber. For video surveillance images and high-precision water quality data, 5G network is preferentially used for transmission to ensure fast and stable data transmission; for sensor data in remote areas or areas with difficult wiring, NB-IoT or LoRa low-power wide area network technology is used for transmission; for areas close to the data center and with good wiring conditions, optical fiber is used for high-speed and reliable data transmission.

[0020] Furthermore, the edge computing gateway is set in each monitoring area to perform preliminary processing and analysis on the data collected by the data monitoring and collection module, complete data filtering, feature extraction and anomaly detection operations locally, and transmit key data and abnormal alarm information to the data center.

[0021] Furthermore, the artificial intelligence data analysis platform uses a deep neural network algorithm to analyze water quality, pressure and flow data, establishes a water quality prediction model, a pipeline fault prediction model and an operation optimization model, and through the learning and mining of historical data and real-time data, realizes intelligent diagnosis of the pipeline operation status, fault warning and trend prediction.

[0022] Furthermore, the intelligent early warning and analysis module includes a real-time holographic monitoring module, an intelligent water quality diagnosis and tracing module, a fault prediction module and an intelligent maintenance module. The real-time holographic monitoring module obtains real-time and accurate information on the operation of the pipe network and the information on the surrounding environment and hidden faults of the pipe network by real-time monitoring of the data monitoring and acquisition module; the intelligent water quality diagnosis and tracing module conducts in-depth analysis of the information of the data monitoring and acquisition module, accurately diagnoses abnormal water quality problems, traces the source of water pollution by analyzing the pipe network topology and water flow direction, and establishes a water quality change archive by combining the historical water quality data and real-time monitoring data stored in the blockchain; the fault early warning module The detection module uses a fault prediction model constructed based on the data collected by the data monitoring and acquisition module and the historical data of the blockchain storage module to provide early warning of possible faults in the pipeline network, and gives the probability and estimated time of the fault. According to the type and severity of the fault, the corresponding self-healing mechanism is automatically started. The self-healing mechanism includes adjusting the valve opening and switching the water supply line, so as to alleviate the impact of the fault and reduce the loss caused by the fault. Based on the data processing module, the intelligent maintenance module provides maintenance personnel with maintenance methods, equipment and materials required for maintenance, and maintenance plan suggestions arranged by maintenance personnel, tracks and manages the entire maintenance process, and updates the maintenance progress and effect evaluation in real time.

[0023] The present invention provides a municipal pipe network intelligent monitoring and comprehensive maintenance system. By installing comprehensive data monitoring and acquisition modules at water supply pipe network nodes, including water quality sensors, intelligent pressure and flow integrated sensors, intelligent video surveillance cameras and distributed optical fiber sensors, real-time monitoring and data acquisition of the pipe network operation status are realized, and the accuracy and comprehensiveness of monitoring are effectively improved. A hybrid communication network and an edge computing gateway are adopted to ensure efficient and stable transmission and preliminary processing of data, reduce the delay and cost of data transmission, and improve the reliability and security of data. Through the blockchain data storage module and the artificial intelligence data analysis platform, the storage, management and in-depth analysis of massive data are realized, which provides strong support for the diagnosis of the pipe network operation status, fault warning and trend prediction. The intelligent warning and analysis module and the comprehensive maintenance management module realize timely discovery, accurate positioning and rapid response to pipe network faults, and provide all-round guarantee for the safe and stable operation of the pipe network. At the same time, the maintenance process is optimized, the maintenance efficiency and quality are improved, and the maintenance cost is reduced.

[0024] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. A municipal pipe network intelligent monitoring and comprehensive maintenance system, comprising a water supply pipe network, a data monitoring and acquisition module, a data transmission module, a data receiving module, a data processing module, an intelligent early warning and analysis module and a comprehensive maintenance management module, characterized in that: The water supply network node is installed with a data monitoring and acquisition module, which includes a water quality sensor, an intelligent pressure and flow integrated sensor, an intelligent video surveillance camera and a distributed optical fiber sensor. The data monitoring and acquisition module is connected to a data transmission module, which includes a hybrid communication network and an edge computing gateway. The data processing module includes a blockchain data storage module and an artificial intelligence data analysis platform. The data is processed by the data processing module and transmitted to the intelligent early warning and analysis module, which is connected to a comprehensive maintenance management module.

2. According to claim 1, a municipal pipe network intelligent monitoring and comprehensive maintenance system is characterized by: The water supply network nodes include water sources, pumping stations, pipe network branch points, valve wells and user ends.

3. The municipal pipe network intelligent monitoring and comprehensive maintenance system according to claim 1 is characterized by: The water quality sensors include pH sensors, turbidity sensors, residual chlorine sensors, heavy metal sensors and organic matter sensors; the intelligent integrated pressure and flow sensor identifies the water flow state and pressure fluctuations in the pipeline network and discovers potential pipeline blockage and leakage problems by synchronously collecting and analyzing the pressure and flow data in the pipeline. The built-in self-organizing network module of the intelligent integrated pressure and flow sensor has wireless self-organizing network capabilities and can automatically interact and communicate with surrounding sensors; the intelligent video surveillance camera is arranged at the node of the water supply pipeline network to automatically identify abnormal conditions in the surrounding environment of the pipeline network; the distributed optical fiber sensor is laid in the key sections of the water supply pipeline network to realize continuous distributed monitoring of physical quantities such as temperature and strain along the pipeline network.

4. The municipal pipe network intelligent monitoring and comprehensive maintenance system according to claim 1 is characterized by: The hybrid communication network is a hybrid communication network based on 5G, NB-IoT, LoRa and optical fiber. For video surveillance images and high-precision water quality data, 5G network is preferentially used for transmission to ensure fast and stable data transmission; for sensor data in remote areas or areas with difficult wiring, NB-IoT or LoRa low-power wide area network technology is used for transmission; for areas close to the data center and with good wiring conditions, optical fiber is used for high-speed and reliable data transmission.

5. The municipal pipe network intelligent monitoring and comprehensive maintenance system according to claim 1 is characterized by: The edge computing gateway is set up in each monitoring area to perform preliminary processing and analysis on the data collected by the data monitoring and acquisition module, complete data filtering, feature extraction and anomaly detection operations locally, and transmit key data and abnormal alarm information to the data center.

6. The municipal pipe network intelligent monitoring and integrated maintenance system according to claim 1 is characterized by: The artificial intelligence data analysis platform uses a deep neural network algorithm to analyze water quality, pressure and flow data, establishes a water quality prediction model, a pipeline fault prediction model and an operation optimization model, and realizes intelligent diagnosis, fault warning and trend prediction of the pipeline operation status through learning and mining of historical data and real-time data.

7. The municipal pipe network intelligent monitoring and integrated maintenance system according to claim 1 is characterized by: The intelligent early warning and analysis module includes a real-time holographic monitoring module, an intelligent water quality diagnosis and tracing module and a fault prediction module. The real-time holographic monitoring module obtains real-time and accurate information on the operation of the pipeline network and the information on the surrounding environment and hidden faults of the pipeline network by real-time monitoring of the data monitoring and acquisition module; the intelligent water quality diagnosis and tracing module conducts in-depth analysis of the information of the data monitoring and acquisition module, accurately diagnoses abnormal water quality problems, traces the source of water pollution by analyzing the topological structure of the pipeline network and the direction of water flow, and establishes a water quality change archive by combining the historical water quality data and real-time monitoring data stored in the blockchain; the fault prediction module uses a fault prediction model constructed based on the data collected by the data monitoring and acquisition module and the historical data of the blockchain storage module to give early warning of possible faults in the pipeline network, and gives the probability and estimated time of the fault. According to the type and severity of the fault, the corresponding self-healing mechanism is automatically started. The self-healing mechanism includes adjusting the valve opening and switching the water supply line, thereby alleviating the impact of the fault and reducing the fault loss; Based on the data processing module, the comprehensive maintenance management module provides maintenance personnel with maintenance methods, equipment and materials required for maintenance, and maintenance plan suggestions arranged by maintenance personnel, tracks and manages the entire maintenance process, and updates maintenance progress and effect evaluation in real time.

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