Underground pipe network integrated management platform and management method

Abstract

The invention relates to the field of underground pipe networks, and discloses an underground pipe network integrated management platform which comprises a data acquisition module, a data standardization module, a data sharing cooperation module, a cooperation management module, a real-time detection module, an early warning system, a front-end user management module and a rear-end system management module. The data acquisition module is responsible for acquiring, updating and checking various data and storing the data through the data management system; the real-time detection module is used for electrically connecting and transmitting real-time data monitored by the sensor to the data management system and directly providing the real-time data to the intelligent early warning system unit for analysis; and the data management system manages all data in a centralized manner. The big data analysis technology is used for analyzing real-time data, identifying abnormal conditions and generating early warning information, the grading early warning mechanism ensures that problems of different severity degrees are correspondingly processed, and the early warning system can identify potential risks in advance, prevent problem expansion and ensure safe operation of a pipe network.

Description

Technical Field

[0001] The present invention relates to the technical field of underground pipe networks, and in particular to an underground pipe network integrated management platform and a management method. Background Art

[0002] The development of my country's economy has driven the construction of cities. With the continuous expansion of urban scale and the improvement of modernization, the development and utilization of urban underground space has received more and more attention from all parties. The scale of construction projects is huge and the functions are becoming more and more complex. The urban underground pipeline network is also becoming larger and denser, and its types are becoming more complex. Therefore, an underground pipeline network comprehensive management platform is needed for control.

[0003] However, traditional management methods and technical means have significant deficiencies and limitations when dealing with complex pipeline network operation environments: Incomplete data collection: The traditional method of collecting underground pipeline network data mainly relies on manual inspections and regular testing. This method is not only inefficient, but also has problems with untimely and incomplete data collection, making it difficult to reflect the operating status of the pipeline network in real time.

[0004] Inefficient data processing: Existing data processing methods usually rely on manual sorting and simple statistical analysis, which are difficult to cope with massive, multi-source data, resulting in low data processing efficiency and difficulty in ensuring data quality.

[0005] Insufficient real-time monitoring and early warning capabilities: Traditional systems lack advanced real-time monitoring and early warning mechanisms, and are unable to promptly detect and warn of abnormal conditions in pipeline network operations. Problems are often not dealt with until they occur, causing the problems to escalate and increasing maintenance costs and risks.

[0006] Collaboration and emergency response are not timely: There is a serious phenomenon of information silos between departments, and a lack of a unified collaboration platform and emergency response mechanism, which leads to poor cross-departmental collaboration, delayed information transmission, and affects the efficiency of problem handling. Summary of the invention

[0007] In view of the deficiencies of the prior art, the present invention provides an underground pipe network comprehensive management platform and management method, which solves the problem of untimely collaboration and emergency response in the prior art.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: an underground pipe network comprehensive management platform, including a data acquisition module, a data standardization module, a data sharing and collaboration module, a collaborative management module, a real-time detection module, an early warning system, a front-end user management module, and a back-end system management module; The data acquisition module is used to collect the spatial location, attribute information, and operating status of the underground pipe network using high-precision GIS, drones, laser scanning, and IoT sensor technology. The operating status includes pressure, flow, and temperature data, and upload these data to the platform in real time; The data standardization module is used to standardize the collected various types of pipe network data, including data format unification, data cleaning, data verification and validation, to ensure the consistency, completeness and accuracy of the data, so as to facilitate subsequent analysis and sharing; The data sharing and collaboration module is used to establish a unified data exchange platform to achieve data sharing and collaboration between different departments and units, break down information silos, and promote cross-departmental data interoperability. The module also provides refined authority management to ensure data security and privacy protection; The collaboration management module is used to provide online collaboration tools to support various departments in project management, task allocation and progress tracking in pipeline network construction, maintenance and emergency response, and improve cross-departmental communication and coordination efficiency; The real-time detection module is used to monitor the operation status of the underground pipe network in real time through IoT sensors deployed in the underground pipe network, including pressure, flow, temperature, and leakage, to detect abnormal conditions in a timely manner, and transmit the monitoring data to the management platform in real time; The early warning system is used to analyze real-time monitoring data using big data analysis technology, identify potential risks in advance, and set up a multi-level early warning mechanism according to the risk level, automatically send early warning notifications, and provide emergency response plans; The front-end user management module is used to provide users with a friendly and intuitive operation interface, which is convenient for users to browse and analyze pipe network data, and supports user authority management; The back-end system management module is used to manage the back-end system of the platform, including data storage, processing and analysis functions, and provides efficient data processing capabilities based on cloud computing technology to ensure the stable operation of the platform and efficient management of data.

[0009] Preferably, the data acquisition module includes an intelligent update mechanism, a data verification unit, and a multi-source data acquisition unit; The intelligent update mechanism is used to collect and update the operation data of the underground pipe network in real time; The data checking unit is used to check the collected data to ensure the accuracy and consistency of the data; The multi-source data acquisition unit is used to collect data from multiple data sources to ensure the comprehensiveness and diversity of the data.

[0010] Preferably, the data sharing and collaboration module includes a cross-departmental data sharing unit and a rights management unit; The cross-department data sharing unit is used to realize data sharing and collaborative work among different departments; The authority management unit is used to manage the access rights of users and departments to data to ensure data security and compliance of use.

[0011] Preferably, the collaboration management module includes a project collaboration platform; The project collaboration platform is used to provide a centralized platform to support the collaboration of project teams in pipeline network management and related tasks.

[0012] Preferably, the real-time detection module includes an IoT sensor network and real-time data transmission; The IoT sensor network is used to deploy and manage a series of IoT sensors to monitor the operating status of the underground pipe network in real time; The real-time data transmission is used to realize the real-time transmission and centralized processing of sensor data, thereby ensuring the timeliness and accuracy of the data.

[0013] Preferably, the early warning system includes an intelligent early warning system unit and a multi-level early warning mechanism; The intelligent early warning system unit is used to utilize artificial intelligence and big data analysis technology to process and analyze the monitoring data of the underground pipe network in real time, automatically identify abnormal situations and generate early warning information: The multi-level warning mechanism is used to set different levels of warnings according to the severity and impact scope of the abnormal situation, ensuring that appropriate response measures are taken at different levels and scenarios.

[0014] Preferably, the front-end user management module includes data visualization and user interface design; The data visualization is used to convert complex data into intuitive and easy-to-understand charts and graphs, so that users can quickly obtain key information. Data visualization can help users better understand the operating status, historical data and trend analysis of underground pipe networks; The user interface is designed to provide a friendly and efficient user interface, ensuring that the user can operate the system conveniently and quickly.

[0015] Preferably, the backend system management module includes a data management system and an API interface; The data management system is used to centrally store, manage and process data related to the underground pipe network; The API interface is used to provide a communication interface with external systems and front-end applications to ensure the interconnection and interoperability of data and services.

[0016] Preferably, the data acquisition module is responsible for collecting, updating and verifying various data, and storing them through the data management system; the real-time detection module electrically connects the real-time data monitored by the sensor to the data management system, and directly provides it to the intelligent early warning system unit for analysis; the data management system centrally manages all data and exchanges data with other modules through the API interface; the intelligent early warning system unit generates early warning information by analyzing the data provided by the data management system, and performs hierarchical processing and communication through a multi-level early warning mechanism; the project collaboration platform obtains real-time data and early warning information, and supports cross-departmental collaboration and task management; the front-end user management module obtains data from the data management system through the API interface, and provides data visualization and user interface design to enhance user experience; the API interface ensures the interconnection and interoperability of the system, so that each module can be flexibly expanded and integrated.

[0017] An underground pipe network integrated management method, used for an underground pipe network integrated management platform, comprises the following steps: S1, data collection: Start the IoT sensor network deployed in the underground pipe network. The sensors start to monitor water pressure, flow, and temperature parameters in real time. The data collected by the sensors are transmitted to the data collection module in real time through wireless communication. S2. Data processing and verification: The data acquisition module transmits the received raw data to the data management system. The data verification unit in the data management system cleans and verifies the data, removes abnormal values ​​and noise, and ensures data quality. The cleaned and verified data is stored in the database of the data management system for backup and management. S3, Real-time monitoring and analysis: The data management system processes and analyzes sensor data in real time, and the processed data is provided to the intelligent early warning system unit through the API interface; S4. Intelligent early warning: The intelligent early warning system unit uses big data analysis technology to analyze real-time data and identify abnormal situations. According to the severity of the abnormal situation, the intelligent early warning system unit generates early warning information and determines the warning level. The multi-level early warning mechanism handles and notifies relevant managers and departments according to the warning level. The early warning information is sent to the responsible person through SMS, email, APP and other channels; S5. Collaborative management and emergency response: After receiving the warning, the emergency response team initiates the emergency plan. The project collaboration platform provides collaborative support, assigns tasks, shares files, and communicates in real time. The maintenance team receives warning information and task instructions through mobile devices and goes to the site for inspection and repair. The site data is uploaded through mobile applications to update the system status in real time. S6. Data visualization and user interaction: The data management system provides real-time data to the front-end user management module through the API interface. The front-end user management module uses data visualization tools to convert data into intuitive forms such as charts and maps and display them on the user interface. Users can view the status of the pipeline network, warning information, and task progress through the interface; S7. Data feedback and optimization: The system records user operation logs and data processing logs for auditing and tracking. Based on feedback and historical data, it continuously optimizes data processing algorithms and early warning models to improve the accuracy and response speed of the system.

[0018] The present invention provides an underground pipe network integrated management platform and management method, which has the following beneficial effects: 1. The present invention processes and analyzes sensor data in real time through a data management system, provides instant operational status feedback, improves the speed of problem discovery, uses big data analysis technology to analyze real-time data, identifies abnormal situations and generates early warning information, and a graded early warning mechanism ensures that problems of different severity are handled accordingly. The early warning system can identify potential risks in advance, prevent problems from expanding, and ensure safe operation of the pipeline network.

[0019] 2. The project collaboration platform of the present invention provides online task allocation, file sharing and real-time communication functions, which improves cross-departmental collaboration efficiency and information transparency. After receiving an early warning, the emergency plan is quickly launched, and the maintenance team responds and handles problems in a timely manner through mobile devices to ensure the efficiency of emergency handling.

[0020] 3. The present invention utilizes the IoT sensor network to monitor the key parameters of the underground pipe network, such as water pressure, flow, temperature, etc., in real time, to ensure the continuity and timeliness of the monitoring data, collect information from multiple sensors and data sources, form a complete pipe network operation status database, and improve the comprehensiveness and accuracy of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a three-dimensional diagram of the system framework of the present invention; Figure 2 It is a schematic diagram of the data acquisition module framework of the present invention; Figure 3 This is a schematic diagram of the data sharing collaboration module framework of the present invention; Figure 4 This is a schematic diagram of the collaborative management module framework of the present invention; Figure 5 It is a schematic diagram of the framework of the real-time detection module of the present invention; Figure 6 It is a schematic diagram of the framework of the early warning system of the present invention; Figure 7 This is a schematic diagram of the framework of the front-end user management module of the present invention; Figure 8 It is a schematic diagram of the framework of the back-end system management module of the present invention; Fig. 9 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0022] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings 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.

[0023] Embodiment 1: Please refer to the attached Figure 1 , an embodiment of the present invention provides an underground pipe network integrated management platform, including a data acquisition module, a data standardization module, a data sharing and collaboration module, a collaborative management module, a real-time detection module, an early warning system, a front-end user management module, and a back-end system management module; Please refer to the attached Figure 2 The data acquisition module includes an intelligent update mechanism, a data verification unit, and a multi-source data acquisition unit; it is used to collect the spatial location, attribute information, and operating status of the underground pipe network using high-precision GIS, drones, laser scanning, and IoT sensor technology. The operating status includes pressure, flow, and temperature data, and upload these data to the platform in real time; High-precision GIS: Provides precise geospatial positioning to ensure accurate spatial location of pipe network data. Drones: Used for aerial inspections and data collection, especially in hard-to-access areas, to obtain comprehensive pipe network conditions. Laser scanning: Used to generate high-resolution three-dimensional models to record the physical structure and surrounding environment of the pipe network in detail. IoT sensors: Sensors deployed in the pipe network monitor the operating status in real time.

[0024] Comprehensive data collection and multi-technology integration ensure the comprehensiveness and accuracy of data, covering all key information of the pipeline network, and uploading data in real time, so that the system can respond and handle emergencies quickly. UAV and laser scanning technology effectively cover a wide area and reduce the time and cost of manual inspections.

[0025] Please refer to the attached Figure 1 ,The data standardization module is used to standardize the collected various types of pipe network data, including data format unification, data cleaning, data verification and validation, to ensure the consistency, completeness and accuracy of the data, so as to facilitate subsequent analysis and sharing; Standardized processing improves the accuracy and reliability of data and provides a solid foundation for subsequent analysis. Unified data formats and processing procedures ensure that data from different sources can be seamlessly integrated, and high-quality data makes subsequent analysis more efficient and accurate.

[0026] Please see attached Figure 3 The data sharing and collaboration module is used to establish a unified data exchange platform, realize data sharing and collaboration between different departments and units, break information silos, and promote cross-departmental data interoperability. The module also provides refined permission management to ensure data security and privacy protection; the data sharing and collaboration module includes a cross-departmental data sharing unit and a permission management unit.

[0027] Establish a unified data exchange platform to realize data sharing and collaboration between different departments and units, break down information silos, and provide refined permission management to ensure data security and privacy protection. Through the design of these modules, it can promote information exchange and collaboration between different departments and improve overall work efficiency. The permission management and privacy protection measures ensure data security, prevent unauthorized access and leakage, significantly break down information silos, and realize comprehensive integration and utilization of data.

[0028] Please see attached Figure 4 The collaboration management module includes a project collaboration platform that provides online collaboration tools to support the project management, task allocation, and progress tracking functions of various departments in pipeline network construction, maintenance, and emergency response, thereby improving the efficiency of cross-departmental communication and coordination; it provides online collaboration tools to support the project management, task allocation, and progress tracking functions of various departments in pipeline network construction, maintenance, and emergency response, thereby improving the efficiency of cross-departmental communication and coordination.

[0029] Centrally manage various tasks and resources of the project, reasonably allocate them to various departments and personnel according to task requirements, and track task progress in real time to ensure that the project proceeds as planned. In addition, it provides an online discussion and file sharing platform to promote real-time communication.

[0030] Please see attached Figure 5 The real-time detection module includes an IoT sensor network and real-time data transmission. It is used to monitor the operation status of the pipeline network in real time through IoT sensors deployed in the underground pipeline network. The operation status includes pressure, flow, temperature, and leakage, and abnormal conditions are discovered in time. The monitoring data is transmitted to the management platform in real time. Through the design of this module, the operation status of the pipeline network can be understood at any time, and abnormal conditions can be discovered and handled in time. Potential problems can be identified in advance to prevent small problems from developing into major failures. Through real-time data analysis, the maintenance and management strategies of the pipeline network can be optimized.

[0031] The design of this module enables the network operation status to be understood at any time, abnormal situations to be discovered and handled in a timely manner, and potential problems to be identified in advance to prevent small problems from developing into major failures. In addition, through real-time data analysis, the maintenance and management strategies of the network can be optimized.

[0032] Please refer to the attached Figure 6 ,The early warning system includes an intelligent early warning system unit and a ,multi-level early warning mechanism for analyzing real-time monitoring data using big data ,analysis, identifying potential risks in advance, and setting up a ,multi-level early warning mechanism according to the risk level, automatically sending early warning notifications, and providing emergency ,processing solutions; Through the design of this module, potential risks can be discovered in advance and accidents can be prevented. In addition, automatic early warning and emergency plans improve the speed of problem response. Through a multi-level early warning mechanism, risks are ensured to be dealt with in a timely manner to ensure the safety of the pipeline network.

[0033] Please refer to the attached Figure 7 ,The front-end user management module includes data visualization and user interface design to provide users with a friendly and intuitive operation interface, facilitating users to browse and analyze the pipe network data, while supporting user authority management; Please refer to the attached Figure 8 The back-end system management module includes a data management system and an API interface for managing the back-end system of the platform, including data storage, processing and analysis functions, and provides efficient data processing capabilities based on cloud computing technology to ensure the stable operation of the platform and efficient management of data.

[0034] The data acquisition module is responsible for collecting, updating and verifying various data, and storing them through the data management system; the real-time detection module electrically connects the real-time data monitored by the sensor to the data management system, and directly provides it to the intelligent early warning system unit for analysis; the data management system centrally manages all data and exchanges data with other modules through the API interface; the intelligent early warning system unit generates early warning information by analyzing the data provided by the data management system, and performs hierarchical processing and communication through a multi-level early warning mechanism; the project collaboration platform obtains real-time data and early warning information, and supports cross-departmental collaboration and task management; the front-end user management module obtains data from the data management system through the API interface, and provides data visualization and user interface design to enhance the user experience; the API interface ensures the interconnection and interoperability of the system, allowing each module to be flexibly expanded and integrated.

[0035] Embodiment 2: Please refer to the attached Fig. 9 The embodiment of the present invention provides a method for comprehensive management of underground pipe networks, comprising the following steps: S1, data collection: Start the IoT sensor network deployed in the underground pipe network. The sensors start to monitor water pressure, flow, and temperature parameters in real time. The data collected by the sensors are transmitted to the data collection module in real time through wireless communication. S2. Data processing and verification: The data acquisition module transmits the received raw data to the data management system. The data verification unit in the data management system cleans and verifies the data, removes abnormal values ​​and noise, and ensures data quality. The cleaned and verified data is stored in the database of the data management system for backup and management. S3, Real-time monitoring and analysis: The data management system processes and analyzes sensor data in real time, and the processed data is provided to the intelligent early warning system unit through the API interface; S4. Intelligent early warning: The intelligent early warning system unit uses big data analysis technology to analyze real-time data and identify abnormal situations. According to the severity of the abnormal situation, the intelligent early warning system unit generates early warning information and determines the warning level. The multi-level early warning mechanism handles and notifies relevant managers and departments according to the warning level. The early warning information is sent to the responsible person through SMS, email, APP and other channels; S5. Collaborative management and emergency response: After receiving the warning, the emergency response team initiates the emergency plan. The project collaboration platform provides collaborative support, assigns tasks, shares files, and communicates in real time. The maintenance team receives warning information and task instructions through mobile devices and goes to the site for inspection and repair. The site data is uploaded through mobile applications to update the system status in real time. S6. Data visualization and user interaction: The data management system provides real-time data to the front-end user management module through the API interface. The front-end user management module uses data visualization tools to convert data into intuitive forms such as charts and maps and display them on the user interface. Users can view the status of the pipeline network, warning information, and task progress through the interface; S7. Data feedback and optimization: The system records user operation logs and data processing logs for auditing and tracking. Based on feedback and historical data, it continuously optimizes data processing algorithms and early warning models to improve the accuracy and response speed of the system.

[0036] The above steps make full use of advanced sensor technology, data processing technology and intelligent early warning system to achieve comprehensive and real-time monitoring and management of underground pipe networks. The close collaboration between the various steps ensures the timeliness, accuracy and reliability of data, improves the system's response speed and management efficiency, effectively prevents and handles various problems in pipe network operation, and improves the safety and operational efficiency of underground pipe networks.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An underground pipe network integrated management platform, characterized in that: It includes data collection module, data standardization module, data sharing and collaboration module, collaborative management module, real-time detection module, early warning system, front-end user management module, and back-end system management module; The data acquisition module is used to collect the spatial location, attribute information, and operating status of the underground pipe network using high-precision GIS, drones, laser scanning, and IoT sensor technology. The operating status includes pressure, flow, and temperature data, and upload these data to the platform in real time; The data standardization module is used to standardize the collected various types of pipe network data, including data format unification, data cleaning, data verification and validation, to ensure the consistency, completeness and accuracy of the data, so as to facilitate subsequent analysis and sharing; The data sharing and collaboration module is used to establish a unified data exchange platform to achieve data sharing and collaboration between different departments and units, break down information silos, and promote cross-departmental data interoperability. The module also provides refined authority management to ensure data security and privacy protection; The collaboration management module is used to provide online collaboration tools to support various departments in project management, task allocation and progress tracking in pipeline network construction, maintenance and emergency response, and improve cross-departmental communication and coordination efficiency; The real-time detection module is used to monitor the operation status of the underground pipe network in real time through IoT sensors deployed in the underground pipe network, including pressure, flow, temperature, and leakage, to detect abnormal conditions in a timely manner, and transmit the monitoring data to the management platform in real time; The early warning system is used to analyze real-time monitoring data using big data analysis technology, identify potential risks in advance, and set up a multi-level early warning mechanism according to the risk level, automatically send early warning notifications, and provide emergency response plans; The front-end user management module is used to provide users with a friendly and intuitive operation interface, which is convenient for users to browse and analyze pipe network data, and supports user authority management; The back-end system management module is used to manage the back-end system of the platform, including data storage, processing and analysis functions, and provides efficient data processing capabilities based on cloud computing technology to ensure the stable operation of the platform and efficient management of data.

2. The underground pipe network integrated management platform according to claim 1, characterized in that: The data acquisition module includes an intelligent update mechanism, a data verification unit, and a multi-source data acquisition unit; The intelligent update mechanism is used to collect and update the operation data of the underground pipe network in real time; The data checking unit is used to check the collected data to ensure the accuracy and consistency of the data; The multi-source data acquisition unit is used to collect data from multiple data sources to ensure the comprehensiveness and diversity of the data.

3. The underground pipe network integrated management platform according to claim 1, characterized in that: The data sharing and collaboration module includes a cross-departmental data sharing unit and a rights management unit; The cross-department data sharing unit is used to realize data sharing and collaborative work among different departments; The authority management unit is used to manage the access rights of users and departments to data to ensure data security and compliance of use.

4. The underground pipe network integrated management platform according to claim 1, characterized in that: The collaboration management module includes a project collaboration platform; The project collaboration platform is used to provide a centralized platform to support the collaboration of project teams in pipeline network management and related tasks.

5. The underground pipe network integrated management platform according to claim 1, characterized in that: The real-time detection module includes an IoT sensor network and real-time data transmission; The IoT sensor network is used to deploy and manage a series of IoT sensors to monitor the operating status of the underground pipe network in real time; The real-time data transmission is used to realize the real-time transmission and centralized processing of sensor data, thereby ensuring the timeliness and accuracy of the data.

6. The underground pipe network integrated management platform according to claim 1, characterized in that: The early warning system includes an intelligent early warning system unit and a multi-level early warning mechanism; The intelligent early warning system unit is used to utilize artificial intelligence and big data analysis technology to process and analyze the monitoring data of the underground pipe network in real time, automatically identify abnormal situations and generate early warning information: The multi-level warning mechanism is used to set different levels of warnings according to the severity and impact scope of the abnormal situation, ensuring that appropriate response measures are taken at different levels and scenarios.

7. The underground pipe network integrated management platform according to claim 1, characterized in that: The front-end user management module includes data visualization and user interface design; The data visualization is used to convert complex data into intuitive and easy-to-understand charts and graphs, so that users can quickly obtain key information. Data visualization can help users better understand the operating status, historical data and trend analysis of underground pipe networks; The user interface is designed to provide a friendly and efficient user interface, ensuring that the user can operate the system conveniently and quickly.

8. The underground pipe network integrated management platform according to claim 1, characterized in that: The back-end system management module includes a data management system and an API interface; The data management system is used to centrally store, manage and process data related to the underground pipe network; The API interface is used to provide a communication interface with external systems and front-end applications to ensure the interconnection and interoperability of data and services.

9. The underground pipe network integrated management platform according to claim 1, characterized in that: The data acquisition module is responsible for collecting, updating and verifying various data, and storing them through the data management system; the real-time detection module electrically connects the real-time data monitored by the sensor to the data management system, and directly provides it to the intelligent early warning system unit for analysis; the data management system centrally manages all data and exchanges data with other modules through the API interface; the intelligent early warning system unit generates early warning information by analyzing the data provided by the data management system, and performs hierarchical processing and communication through a multi-level early warning mechanism; the project collaboration platform obtains real-time data and early warning information, and supports cross-departmental collaboration and task management; the front-end user management module obtains data from the data management system through the API interface, and provides data visualization and user interface design to improve user experience; The API interface ensures the interconnection and interoperability of the system, allowing each module to be flexibly expanded and integrated.

10. An underground pipe network integrated management method, used for an underground pipe network integrated management platform according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1, data collection: Start the IoT sensor network deployed in the underground pipe network. The sensors start to monitor water pressure, flow, and temperature parameters in real time. The data collected by the sensors are transmitted to the data collection module in real time through wireless communication. S2. Data processing and verification: The data acquisition module transmits the received raw data to the data management system. The data verification unit in the data management system cleans and verifies the data, removes abnormal values ​​and noise, and ensures data quality. The cleaned and verified data is stored in the database of the data management system for backup and management. S3, Real-time monitoring and analysis: The data management system processes and analyzes sensor data in real time, and the processed data is provided to the intelligent early warning system unit through the API interface; S4. Intelligent early warning: The intelligent early warning system unit uses big data analysis technology to analyze real-time data and identify abnormal situations. According to the severity of the abnormal situation, the intelligent early warning system unit generates early warning information and determines the warning level. The multi-level early warning mechanism handles and notifies relevant managers and departments according to the warning level. The early warning information is sent to the responsible person through SMS, email, APP and other channels; S5. Collaborative management and emergency response: After receiving the warning, the emergency response team initiates the emergency plan. The project collaboration platform provides collaborative support, assigns tasks, shares files, and communicates in real time. The maintenance team receives warning information and task instructions through mobile devices and goes to the site for inspection and repair. The site data is uploaded through mobile applications to update the system status in real time. S6. Data visualization and user interaction: The data management system provides real-time data to the front-end user management module through the API interface. The front-end user management module uses data visualization tools to convert data into intuitive forms such as charts and maps and display them on the user interface. Users can view the status of the pipeline network, warning information, and task progress through the interface; S7. Data feedback and optimization: The system records user operation logs and data processing logs for auditing and tracking. Based on feedback and historical data, it continuously optimizes data processing algorithms and early warning models to improve the accuracy and response speed of the system.

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