Thermal power plant underground pipe network information management system based on GIS

Abstract

The invention relates to the technical field of power plant equipment operation and maintenance, and provides a GIS-based underground pipe network information management system for a thermal power plant. And the problem of unstable data acquisition and transmission caused by complex underground pipe network environment of the thermal power plant is solved. The system comprises a data acquisition module, a database construction module, an information management module, a monitoring module and a data processing and analysis module, comprehensive acquisition, accurate processing, real-time monitoring and intelligent analysis of underground pipe network information are realized, the efficiency, safety and intelligent level of pipe network management are improved, and powerful support is provided for safe operation and efficient operation of a thermal power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant equipment operation and maintenance, and in particular to an underground pipe network information management system for a thermal power plant based on GIS. Background Art

[0002] With the continuous advancement of geographic information system (GIS) technology, the underground pipe network information management system of thermal power plants has also ushered in significant development. Through advanced survey, measurement and collection methods, thermal power plants can accurately obtain various attribute information and spatial information of underground pipe networks, including pipe diameter, material, service life and precise geographic coordinates, etc. This information has been strictly processed, constructed and processed, following relevant standards and specifications, and has been integrated into an efficient pipe network database. Based on this database, the underground pipe network information management system of thermal power plants developed using GIS technology has been established, providing strong technical support for the underground pipe network management of thermal power plants.

[0003] In practical applications, the GIS-based underground pipeline information management system for thermal power plants has shown great value. The system not only realizes a comprehensive and intuitive display of underground pipeline information, but also senses and transmits the operation status and key parameters of the pipeline network to the data center for analysis in real time through the reasonable layout of key pipeline sensors and monitoring equipment. This enables thermal power plants to grasp the operation status of underground pipelines in real time, discover and deal with potential problems in a timely manner, and effectively improve the efficiency and safety of pipeline management. At the same time, the existing GIS-based underground pipeline information management system for thermal power plants also provides a wealth of query, statistics and analysis functions, providing strong data support for the decision-making of thermal power plants and promoting the development of underground pipeline management in thermal power plants towards intelligence and refinement.

[0004] Although the GIS-based underground pipe network information management system for thermal power plants has shown significant advantages and value in actual application, there are still the following technical pain points that need to be solved. Due to the complex underground pipe network environment of thermal power plants, there are signal interference or transmission barriers in some areas, which causes unstable data collection and transmission of sensors and monitoring equipment, affecting the real-time and accuracy of the system, resulting in the system being unable to accurately analyze the data of the underground pipe network of thermal power plants. Therefore, how to solve this technical pain point and further improve the performance and efficiency of the GIS-based underground pipe network information management system for thermal power plants is an issue that needs to be focused on and studied at present. Summary of the invention

[0005] In view of the shortcomings of the existing technology, the present invention provides a GIS-based underground pipeline information management system for a thermal power plant, which solves the problem that the data collection and transmission of sensors and monitoring equipment are unstable due to the complex underground pipeline environment of the thermal power plant and signal interference or transmission obstacles in some areas, affecting the real-time and accuracy of the system and causing the system to be unable to accurately perform data analysis on the underground pipeline network of the thermal power plant.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0007] The present invention provides a GIS-based underground pipe network information management system for a thermal power plant, comprising:

[0008] Data acquisition module, used to measure the pipe diameter using a laser rangefinder or ultrasonic rangefinder, analyze the material through pipeline surface feature recognition and X-ray fluorescence spectrometer, obtain precise coordinates by combining GPS and ground measurement technology, and output spatial information data;

[0009] The database construction module is used to receive database construction information, which includes attribute information, spatial information and relationship tables, build a database according to the database construction information, and receive spatial information data output by the data acquisition module;

[0010] The information management module is used to build a database based on the information, classify the pipe network information using the preset GIS information model, and visualize the classification results and output them to the user-side information management system interface;

[0011] The monitoring module is used to generate the real-time installation position of the sensor according to the preset sensor installation rules based on the spatial information data, arrange the sensor in the pipe network according to the real-time installation position of the sensor, and use IoT technology to transmit the sensor data to the data processing and analysis module through the wireless network;

[0012] The data processing and analysis module is used to receive sensor data transmitted by the wireless network, determine the sensor corresponding to the data according to the sensor data transmitted by the wireless network, send a detection signal to the sensor corresponding to the sensor data transmitted by the wireless network, obtain the sensor in the real-time operating state, compare the sensor in the real-time operating state with the pre-safe sensor, obtain the stopped sensor, retrieve the historical data of the stopped sensor in the database, use the historical data of the stopped sensor in the database to train the model, obtain the sensor data simulation model, collect real-time sensor data, substitute the real-time sensor data into the sensor data simulation model, obtain the simulated data of the stopped sensor, summarize the simulated data of the stopped sensor with the simulated data of the non-stop sensor, obtain the data set to be analyzed, perform data analysis on the data set to be analyzed through a preset thermal power plant underground pipeline network monitoring model, and obtain the thermal power plant underground pipeline network analysis results.

[0013] Furthermore, in the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the database construction module is also used for:

[0014] The database construction module receives the user's database construction information. The user's database construction information includes attribute information, spatial information and relationship tables. The relationship tables include connection relationships between pipelines and upstream and downstream relationships.

[0015] After receiving the database construction information, the database construction module pre-processes the user's database construction information;

[0016] The structure of the database is constructed according to the received database construction information, where the database construction information includes determining the table structure, index strategy and relationship definition in the database.

[0017] Furthermore, in the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the information management module is also used for:

[0018] Initialize the database environment in the information management module and import all the pipe network information obtained from the data acquisition module. The pipe network information includes attribute information, spatial information and relationship tables;

[0019] Configure the preset GIS information model, which is used to provide spatial analysis and visualization of pipe network information;

[0020] Adjust the parameters of the GIS information model and use the classification function of the GIS information model to classify the imported pipe network information according to pipe type, material, pipe diameter, and usage status;

[0021] The classified pipeline network information is visualized through the GIS information model to generate maps and charts.

[0022] Furthermore, in the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the monitoring module is also used for:

[0023] The monitoring module obtains the spatial information data of the underground pipe network of the thermal power plant from the data acquisition module. The spatial information data of the underground pipe network of the thermal power plant includes the coordinates, layout diagram, pipe diameter, material and obstacles of the pipeline;

[0024] After acquiring the spatial information data, the monitoring module analyzes the acquired spatial information data. Based on the analyzed spatial information data, the monitoring module applies preset sensor installation rules to determine the optimal installation position of the sensor. The preset sensor installation rules include the minimum distance between sensors and the position where the sensor should be installed in the pipeline.

[0025] Furthermore, in the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the data processing and analysis module is also used for:

[0026] The data processing and analysis module aggregates the simulation data of the stopped sensors and the real-time data of the non-stop sensors, and pre-processes the aggregated data. The data processing and analysis module inputs the pre-processed data set to be analyzed into the preset thermal power plant underground pipeline network monitoring model. The thermal power plant underground pipeline network monitoring model analyzes the input data and outputs the analysis results. The output analysis results include pipeline network health status assessment, anomaly detection alarm, fault prediction and performance optimization suggestions.

[0027] Furthermore, in the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the data processing and analysis module is also used for:

[0028] The data processing and analysis module receives the sensor data transmitted by the wireless network in real time, and compares the sensor data transmitted by the wireless network with the pre-set sensor safety operation status data;

[0029] By comparing the sensor data transmitted by the wireless network with the pre-set sensor safety operation status data, the sensor with abnormal data or failing to send data on time is identified and marked as a stopped sensor;

[0030] Access a database storing historical data of sensors, filter out data of the sensors that have stopped working in historical periods from the database according to identifications of the sensors that have stopped working, preprocess the filtered out data of the sensors that have stopped working in historical periods, use the preprocessed data as training set data, train the model using the preprocessed training set data, and obtain a sensor data simulation model.

[0031] Furthermore, in the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the data processing and analysis module is also used for:

[0032] The data processing and analysis module receives sensor data transmitted from the wireless network in real time, analyzes the received data, and extracts the sensor's identification information and its real-time status data;

[0033] A set of sensors in safe or normal operating states and their corresponding state parameter ranges are predefined in the system, and the state parameter ranges include the measurement value range of the sensors and the data transmission frequency;

[0034] Compare the parsed real-time sensor data with the state parameters of the safety sensor to check whether the real-time data exceeds the range of the safety state parameters or whether the sensor fails to send data on time;

[0035] If the real-time data of the sensor is abnormal or the data is not sent on time, it is marked as a stopped sensor, and a list of stopped sensors is generated. The list of stopped sensors includes identification information of the sensor and time information of the stopped operation.

[0036] The beneficial effects of the present invention are mainly reflected in the following aspects:

[0037] Through the comprehensive application of laser rangefinder, ultrasonic rangefinder, X-ray fluorescence spectrometer, GPS and ground measurement technology, the present invention can measure the diameter of underground pipe network with high precision, analyze the pipe material, and obtain accurate geographic coordinates, thus improving the accuracy and comprehensiveness of data collection. The use of IoT technology to transmit sensor data through wireless network solves the problem of unstable data collection and transmission caused by complex underground pipe network environment, signal interference or transmission obstacles in thermal power plants, and ensures the real-time and accuracy of the system.

[0038] Real-time reception and analysis of sensor data can timely identify potential problems in the pipe network, improving the efficiency and safety of pipe network management. Pipe network information is classified and visualized through the preset GIS information model, allowing users to intuitively understand the overall situation of the pipe network and the specific information of each pipeline, improving the level of intelligent management.

[0039] By using historical data and model training, the network status is intelligently predicted, performance optimization suggestions are provided, and strong data support is provided for the decision-making of thermal power plants. Through real-time monitoring and intelligent prediction, potential problems can be discovered and handled in advance, avoiding the occurrence and expansion of faults and reducing the maintenance cost of the network. The overall operational efficiency of thermal power plants is improved, and the management of underground pipelines in thermal power plants is promoted to develop in the direction of intelligence and refinement.

[0040] The present invention improves the stability and reliability of the system by establishing a comprehensive database structure and strictly processing and storing the pipe network information. It adopts advanced sensor installation rules and data transmission technology to improve the accuracy and integrity of the data, providing a strong guarantee for the stable operation of the system.

[0041] In summary, the present invention effectively solves the technical pain points in the underground pipeline management of thermal power plants through high-precision data acquisition, real-time status monitoring, advanced data processing and analysis, and visual display and interaction, improves the efficiency, safety and intelligence level of pipeline management, and provides strong support for the safe and efficient operation of thermal power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 A schematic diagram of a GIS-based underground pipe network information management system for a thermal power plant provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. 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. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0045] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0046] The present invention provides a GIS-based underground pipe network information management system for a thermal power plant, comprising:

[0047] Data acquisition module, used to measure the pipe diameter using a laser rangefinder or ultrasonic rangefinder, analyze the material through pipeline surface feature recognition and X-ray fluorescence spectrometer, obtain precise coordinates by combining GPS and ground measurement technology, and output spatial information data;

[0048] The data acquisition module is responsible for obtaining various key attribute information and spatial information of the underground pipeline network in the GIS-based thermal power plant underground pipeline network information management system. The following is a detailed description of how the data acquisition module works:

[0049] The data acquisition module is mainly responsible for collecting detailed information on the underground pipeline network of the thermal power plant, including pipe diameter, material and precise coordinates, which is crucial for subsequent data processing and pipeline network management.

[0050] The data acquisition module uses high-precision measurement tools such as laser rangefinders or ultrasonic rangefinders to accurately measure the diameter of underground pipes. Laser rangefinders calculate distance by emitting laser beams and receiving reflected signals, while ultrasonic rangefinders measure distance by emitting ultrasonic waves and listening for echoes. Both methods can provide high-precision pipe diameter data.

[0051] The data acquisition module can analyze and determine the material of the pipe by combining the pipe surface feature recognition technology with the X-ray fluorescence spectrometer. The pipe surface feature recognition technology can help identify the basic type of pipe and the material used; while the X-ray fluorescence spectrometer determines its chemical composition by irradiating the pipe and analyzing the reflected X-rays, thereby accurately judging the material.

[0052] The data acquisition module combines GPS (Global Positioning System) and ground surveying technology to obtain the precise geographic coordinates of underground pipelines. GPS technology provides global location information, while ground surveying technology (such as total station, RTK-GPS, etc.) further improves positioning accuracy and coordinate accuracy through ground control points.

[0053] Output spatial information data, data integration integrates the data obtained from the above measurement and analysis, including pipe diameter, material and precise coordinates, etc. Output these spatial information data for use by subsequent modules (such as database construction module).

[0054] High-precision instruments such as laser rangefinders, ultrasonic rangefinders and X-ray fluorescence spectrometers are used to improve the accuracy of measurement and analysis results. Not only pipe diameter and material information is obtained, but also precise coordinates are obtained by combining GPS and ground measurement technology to provide comprehensive data support for underground pipe network management. The automated data collection process greatly improves work efficiency and reduces manual intervention and errors.

[0055] In summary, the data acquisition module provides accurate and comprehensive spatial information data for the GIS-based thermal power plant underground pipeline network information management system by comprehensively using a variety of advanced technologies and instruments, laying a solid foundation for subsequent data processing, analysis and pipeline network management.

[0056] The database construction module is used to receive database construction information, which includes attribute information, spatial information and relationship tables, build a database according to the database construction information, and receive spatial information data output by the data acquisition module;

[0057] The database construction module plays a core role in the GIS-based thermal power plant underground pipe network information management system. It is responsible for receiving database construction information and building the database accordingly. It also receives the spatial information data output by the data acquisition module. The following is a detailed analysis of the database construction module:

[0058] The database construction module first receives the database construction information input by the user. This information is the basis for building the database, including attribute information, spatial information and relationship tables. Based on the received database construction information, the module starts to build the database. This includes determining the table structure, index strategy and relationship definition of the database to improve the database's ability to store and retrieve data efficiently. After the database is built, the module receives the spatial information data output by the data acquisition module. These data include key information such as the precise coordinates, diameter, material, etc. of the pipeline, which is the basis for subsequent information management, monitoring and analysis.

[0059] The specific content of the database construction information describes the basic properties of the pipeline and its related equipment, such as the model, material, manufacturer, installation date, etc. of the pipeline. Spatial information includes the geographical location information of the pipeline, such as coordinates, elevation, direction, etc., as well as the relative position relationship between pipelines. The relationship table defines the connection relationship between pipelines and the upstream and downstream relationship, which is crucial to understanding the structure and operation of the entire pipeline network.

[0060] Information preprocessing during database construction: After receiving the database construction information, the module first preprocesses the information, including data cleaning and format conversion, to improve the accuracy and consistency of the information. Based on the preprocessed information, the module designs the structure of the database, including creating tables, defining fields, setting indexes, etc. Through the relationship table, the module defines the connection relationship and upstream and downstream relationship between pipelines, so that the database can reflect the actual situation of the pipeline network.

[0061] After the database structure is built, the module receives the spatial information data output by the data acquisition module and imports it into the database for subsequent information management and analysis. By receiving the database construction information input by the user, the module can flexibly build a database that meets the user's needs.

[0062] The automated database construction process reduces manual intervention and improves work efficiency. The module improves the accuracy and reliability of the database through preprocessing and structural design, providing a solid foundation for subsequent information management and analysis.

[0063] In summary, the database construction module is an indispensable part of the GIS-based thermal power plant underground pipeline information management system. It receives and processes database construction information to build a database that meets user needs, providing strong support for subsequent information management, monitoring and analysis.

[0064] The information management module is used to build a database based on the information, classify the pipe network information using the preset GIS information model, and visualize the classification results and output them to the user-side information management system interface;

[0065] The information management module plays a vital role in the GIS-based underground pipe network information management system of thermal power plants. It is responsible for organizing and classifying the collected pipe network information, visualizing it through the GIS information model, and finally presenting the results to the user. The following is a detailed analysis of this module:

[0066] The information management module first receives data from the data acquisition module and the database construction module, including the attribute information, spatial information, and relationship tables of the pipe network. Using this information, the module is initialized in the database environment and imports all pipe network information to build a complete and accurate pipe network database.

[0067] The information management module has a built-in preset GIS information model, which can be classified according to the characteristics of the pipe network information. The classification is based on multiple dimensions such as pipe type, material, pipe diameter, and usage status, which improves the accuracy and practicality of the classification results. After completing the data classification, the information management module uses the visualization function of the GIS information model to display the classification results. The display forms include maps, charts, and other forms, which intuitively and clearly reflect the distribution and characteristics of the pipe network information.

[0068] The information management module outputs the visual display results to the user-side information management system interface for users to review and analyze. Users can intuitively understand the overall situation of the pipeline network and the specific information of each pipeline through the interface, so as to make more accurate decisions.

[0069] GIS information model can use the spatial attributes of pipeline network information for analysis, such as the direction, layout, distance, etc. of pipelines, to provide spatial support for pipeline network management. Through the visualization function of GIS information model, complex pipeline network information can be displayed in an intuitive and easy-to-understand way, improving the user experience and understanding efficiency.

[0070] The information management module reduces the workload of manual processing and improves the efficiency of pipe network management through automatic data classification and visualization. Users can understand the pipe network situation more accurately through intuitive visualization results, so as to make more scientific decisions. The information management module makes the entire GIS-based thermal power plant underground pipe network information management system more practical and efficient, providing strong support for the underground pipe network management of thermal power plants.

[0071] In summary, the information management module is an indispensable part of the GIS-based underground pipeline information management system of thermal power plants. It uses the GIS information model to classify and visualize the pipeline information, providing users with intuitive and accurate pipeline information and improving the efficiency and accuracy of pipeline management.

[0072] The monitoring module is used to generate the real-time installation position of the sensor according to the preset sensor installation rules based on the spatial information data, arrange the sensor in the pipe network according to the real-time installation position of the sensor, and use IoT technology to transmit the sensor data to the data processing and analysis module through the wireless network;

[0073] The monitoring module in the GIS-based thermal power plant underground pipe network information management system is responsible for determining the real-time installation location of the sensor according to the spatial information data and the preset sensor installation rules, and realizing the wireless transmission of sensor data through IoT technology. The following is a detailed analysis of the monitoring module:

[0074] The monitoring module first receives spatial information data from the data acquisition module, including the coordinates, layout, diameter, material, and obstacles of the pipeline. The monitoring module applies preset sensor installation rules, such as the minimum distance between sensors and the specific location where the sensor should be installed in the pipeline, to generate the real-time installation location of the sensor.

[0075] After determining the real-time installation location of the sensor, the monitoring module guides the staff to arrange the sensor at the corresponding location in the pipe network. The sensor is responsible for real-time monitoring of the status parameters of the pipe network, such as pressure, flow, temperature, etc. The arranged sensors are connected to the monitoring module through IoT technology, and the collected data is transmitted to the data processing and analysis module using a wireless network. This method avoids the limitations of wired transmission and improves the flexibility and efficiency of data transmission.

[0076] IoT technology enables sensors to collect and transmit pipeline network status data in real time, realizing real-time monitoring of the pipeline network. Through wireless networks, monitoring modules can remotely receive and manage sensor data, reducing maintenance costs and improving management efficiency.

[0077] The preset sensor installation rules take into account the characteristics of the pipeline, environmental factors and monitoring requirements, and improve the reasonable and effective layout of the sensors. Reasonable sensor layout can improve the accuracy and reliability of data collection, and provide strong support for subsequent data processing and analysis. The monitoring module can obtain the status data of the pipeline network in real time, providing a quick response and handling of potential problems. The accuracy and integrity of the data are improved through reasonable sensor layout and precise transmission of IoT technology. Wireless transmission and remote management reduce labor costs and time costs, and improve the overall efficiency of pipeline network management.

[0078] In summary, the monitoring module generates sensor installation locations according to spatial information data and preset rules, arranges sensors, and uses IoT technology to achieve wireless data transmission, providing a real-time, accurate, and efficient monitoring method for the underground pipeline network information management system of thermal power plants based on GIS.

[0079] The data processing and analysis module is used to receive sensor data transmitted by the wireless network, determine the sensor corresponding to the data according to the sensor data transmitted by the wireless network, send a detection signal to the sensor corresponding to the sensor data transmitted by the wireless network, obtain the sensor in the real-time operating state, compare the sensor in the real-time operating state with the pre-safe sensor, obtain the stopped sensor, retrieve the historical data of the stopped sensor in the database, use the historical data of the stopped sensor in the database to train the model, obtain the sensor data simulation model, collect real-time sensor data, substitute the real-time sensor data into the sensor data simulation model, obtain the simulated data of the stopped sensor, summarize the simulated data of the stopped sensor with the simulated data of the non-stop sensor, obtain the data set to be analyzed, perform data analysis on the data set to be analyzed through a preset thermal power plant underground pipeline network monitoring model, and obtain the thermal power plant underground pipeline network analysis results.

[0080] The data processing and analysis module is a GIS-based thermal power plant underground pipeline information management system responsible for receiving, processing and analyzing sensor data from the monitoring module to evaluate the status of the pipeline network and provide corresponding analysis results. The following is a detailed analysis of this module:

[0081] The function of the data processing and analysis module is to receive and identify sensor data. The data processing and analysis module first receives the sensor data transmitted through the wireless network and determines the sensor corresponding to the data based on the identification information in the data.

[0082] Detect the real-time operating status of the sensor and send a detection signal to each sensor that is transmitting data to confirm that it is in the real-time operating state. In this way, the module can distinguish between sensors in the real-time operating state and potential problem sensors. Compare the sensors in the real-time operating state with the pre-set safety sensor status. If a sensor is found to have abnormal data or fails to send data on time, it will be marked as a stopped sensor.

[0083] Use historical data to train the model and retrieve the historical data of the stopped sensors in the database. Use these historical data to train the model to build a sensor data simulation model. This model can simulate the data characteristics of the sensor when it stops running.

[0084] Generate simulated data and a set of data to be analyzed, collect real-time sensor data, and substitute it into the sensor data simulation model to generate simulated data for stopped sensors. Aggregate the simulated data of stopped sensors with the real-time data of sensors that are not stopped to form a set of data to be analyzed.

[0085] Data analysis and result output: the data set to be analyzed is input into the preset thermal power plant underground pipeline network monitoring model for in-depth analysis. The analysis results include pipeline health status assessment, abnormal detection alarm, fault prediction and performance optimization suggestions, etc. These results are displayed to users through the user-side information management system interface.

[0086] By receiving and analyzing sensor data in real time, the module can promptly discover potential problems in the pipe network and improve the real-time and accuracy of management. Using historical data and model training, the module can intelligently predict the status of the pipe network and provide performance optimization suggestions, which helps to take measures in advance to avoid failures. The data processing and analysis module can automatically process a large amount of sensor data, improve data processing efficiency, and reduce the workload of manual processing.

[0087] The data processing and analysis module plays a vital role in the GIS-based underground pipe network information management system of thermal power plants. It not only improves the intelligent level of pipe network management, but also provides a strong guarantee for the safe operation of thermal power plants through real-time data analysis and intelligent prediction functions. In addition, the application of the data processing and analysis module also helps to reduce the maintenance cost of the pipe network and improve the overall operating efficiency of thermal power plants.

[0088] Specifically, in the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the database construction module is also used for:

[0089] The database construction module receives the user's database construction information. The user's database construction information includes attribute information, spatial information and relationship tables. The relationship tables include connection relationships between pipelines and upstream and downstream relationships.

[0090] After receiving the database construction information, the database construction module pre-processes the user's database construction information;

[0091] The structure of the database is constructed according to the received database construction information, where the database construction information includes determining the table structure, index strategy and relationship definition in the database.

[0092] Specifically, the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the information management module is also used

[0093] Initialize the database environment in the information management module and import all the pipe network information obtained from the data acquisition module. The pipe network information includes attribute information, spatial information and relationship tables;

[0094] Configure the preset GIS information model, which is used to provide spatial analysis and visualization of pipe network information;

[0095] Adjust the parameters of the GIS information model and use the classification function of the GIS information model to classify the imported pipe network information according to pipe type, material, pipe diameter, and usage status;

[0096] The classified pipeline network information is visualized through the GIS information model to generate maps and charts.

[0097] Specifically, the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the monitoring module is also used

[0098] The monitoring module obtains the spatial information data of the underground pipe network of the thermal power plant from the data acquisition module. The spatial information data of the underground pipe network of the thermal power plant includes the coordinates, layout diagram, pipe diameter, material and obstacles of the pipeline;

[0099] After acquiring the spatial information data, the monitoring module analyzes the acquired spatial information data. Based on the analyzed spatial information data, the monitoring module applies preset sensor installation rules to determine the optimal installation position of the sensor. The preset sensor installation rules include the minimum distance between sensors and the position where the sensor should be installed in the pipeline.

[0100] Specifically, the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the data processing and analysis module is also used for

[0101] The data processing and analysis module aggregates the simulation data of the stopped sensors and the real-time data of the non-stop sensors, and pre-processes the aggregated data. The data processing and analysis module inputs the pre-processed data set to be analyzed into the preset thermal power plant underground pipeline network monitoring model. The thermal power plant underground pipeline network monitoring model analyzes the input data and outputs the analysis results. The output analysis results include pipeline network health status assessment, anomaly detection alarm, fault prediction and performance optimization suggestions.

[0102] Specifically, the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the data processing and analysis module is also used for

[0103] The data processing and analysis module receives the sensor data transmitted by the wireless network in real time, and compares the sensor data transmitted by the wireless network with the pre-set sensor safety operation status data;

[0104] By comparing the sensor data transmitted by the wireless network with the pre-set sensor safety operation status data, the sensor with abnormal data or failing to send data on time is identified and marked as a stopped sensor;

[0105] Access a database storing historical data of sensors, filter out data of the sensors that have stopped working in historical periods from the database according to identifications of the sensors that have stopped working, preprocess the filtered out data of the sensors that have stopped working in historical periods, use the preprocessed data as training set data, train the model using the preprocessed training set data, and obtain a sensor data simulation model.

[0106] Specifically, the GIS-based thermal power plant underground pipe network information management system provided by the present invention, the data processing and analysis module is also used for

[0107] The data processing and analysis module receives sensor data transmitted from the wireless network in real time, analyzes the received data, and extracts the sensor's identification information and its real-time status data;

[0108] A set of sensors in safe or normal operating states and their corresponding state parameter ranges are predefined in the system, and the state parameter ranges include the measurement value range of the sensors and the data transmission frequency;

[0109] Compare the parsed real-time sensor data with the state parameters of the safety sensor to check whether the real-time data exceeds the range of the safety state parameters or whether the sensor fails to send data on time;

[0110] If the real-time data of the sensor is abnormal or the data is not sent on time, it is marked as a stopped sensor, and a list of stopped sensors is generated. The list of stopped sensors includes identification information of the sensor and time information of the stopped operation.

[0111] The technical solution of the present invention solves the problem of unstable data collection and transmission caused by complex underground pipe network environment, signal interference or transmission obstacles in thermal power plants through the following specific measures, thereby ensuring the real-time and accuracy of the system and realizing accurate analysis of underground pipe network data in thermal power plants:

[0112] The use of laser rangefinders or ultrasonic rangefinders to measure pipe diameters, pipe surface feature recognition and X-ray fluorescence spectrometers to analyze materials provide high-precision pipe attribute information. Combined with GPS and ground measurement technology to obtain precise coordinates of the pipe, the accuracy of spatial information is improved.

[0113] The database construction module receives database construction information such as attribute information, spatial information, and relationship tables, and constructs a database structure containing complex information such as pipeline connection relationships, upstream and downstream relationships, etc. The received database construction information is preprocessed to determine the database table structure, index strategy, and relationship definition, optimize database performance, and improve data processing efficiency.

[0114] The monitoring module determines the optimal installation location of the sensor based on the spatial information data and the preset sensor installation rules (such as the minimum distance between sensors, the location where the sensor should be installed in the pipeline, etc.). IoT technology is used to transmit sensor data to the data processing and analysis module through a wireless network to reduce the limitations and complexity of wired transmission.

[0115] The data processing and analysis module receives sensor data in real time, compares it with the pre-set safe operation status data, quickly identifies sensors with abnormal data or sensors that fail to send data on time, and marks them as stopped sensors. The historical data of the stopped sensors in the database is retrieved, and the model is trained to obtain a sensor data simulation model. This model can simulate the normal data of stopped sensors and fill in the data gaps. The simulated data of the stopped sensors and the real-time data of the sensors that are not stopped are aggregated, and a comprehensive analysis is performed through the preset underground pipeline network monitoring model of the thermal power plant, and the health status assessment, abnormality detection alarm, fault prediction and performance optimization suggestions of the pipeline network are output. The information management module uses the preset GIS information model to classify and visualize the pipeline network information, generate maps and charts, and intuitively display the pipeline network status to facilitate user understanding and decision-making.

[0116] Through these measures, the present invention effectively overcomes the problems of complex underground pipeline environment and signal interference in thermal power plants, improves the stability of data acquisition and transmission, improves the real-time performance and accuracy of the system, and realizes accurate data analysis and management of underground pipeline networks in thermal power plants.

[0117] 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, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A GIS-based underground pipe network information management system for thermal power plants, characterized in that: include: Data acquisition module, used to measure the pipe diameter using a laser rangefinder or ultrasonic rangefinder, analyze the material through pipeline surface feature recognition and X-ray fluorescence spectrometer, obtain precise coordinates by combining GPS and ground measurement technology, and output spatial information data; The database construction module is used to receive database construction information, which includes attribute information, spatial information and relationship tables, build a database according to the database construction information, and receive spatial information data output by the data acquisition module; The information management module is used to build a database based on the information, classify the pipe network information using the preset GIS information model, and visualize the classification results and output them to the user-side information management system interface; The monitoring module is used to generate the real-time installation position of the sensor according to the preset sensor installation rules based on the spatial information data, arrange the sensor in the pipe network according to the real-time installation position of the sensor, and use IoT technology to transmit the sensor data to the data processing and analysis module through the wireless network; The data processing and analysis module is used to receive sensor data transmitted by the wireless network, determine the sensor corresponding to the data according to the sensor data transmitted by the wireless network, send a detection signal to the sensor corresponding to the sensor data transmitted by the wireless network, obtain the sensor in the real-time operating state, compare the sensor in the real-time operating state with the pre-safe sensor, obtain the stopped sensor, retrieve the historical data of the stopped sensor in the database, use the historical data of the stopped sensor in the database to train the model, obtain the sensor data simulation model, collect real-time sensor data, substitute the real-time sensor data into the sensor data simulation model, obtain the simulation data of the stopped sensor, summarize the simulation data of the stopped sensor with the simulation data of the non-stop sensor, obtain the data set to be analyzed, perform data analysis on the data set to be analyzed through a preset thermal power plant underground pipeline network monitoring model, and obtain the thermal power plant underground pipeline network analysis results.

2. The GIS-based underground pipe network information management system for thermal power plants according to claim 1, characterized in that: The database construction module is also used for: The database construction module receives the user's database construction information. The user's database construction information includes attribute information, spatial information and relationship tables. The relationship tables include connection relationships between pipelines and upstream and downstream relationships. After receiving the database construction information, the database construction module pre-processes the user's database construction information; The structure of the database is constructed according to the received database construction information, where the database construction information includes determining the table structure, index strategy and relationship definition in the database.

3. The GIS-based underground pipe network information management system for thermal power plants according to claim 1, characterized in that: The information management module is also used for: Initialize the database environment in the information management module and import all the pipe network information obtained from the data acquisition module. The pipe network information includes attribute information, spatial information and relationship tables; Configure the preset GIS information model, which is used to provide spatial analysis and visualization of pipe network information; Adjust the parameters of the GIS information model and use the classification function of the GIS information model to classify the imported pipe network information according to pipe type, material, pipe diameter, and usage status; The classified pipe network information is visualized through the GIS information model to generate maps and charts.

4. The GIS-based underground pipe network information management system for thermal power plants according to claim 1, characterized in that: The monitoring module is also used for: The monitoring module obtains the spatial information data of the underground pipe network of the thermal power plant from the data acquisition module. The spatial information data of the underground pipe network of the thermal power plant includes the coordinates, layout diagram, pipe diameter, material and obstacles of the pipeline; After acquiring the spatial information data, the monitoring module analyzes the acquired spatial information data. Based on the analyzed spatial information data, the monitoring module applies preset sensor installation rules to determine the optimal installation position of the sensor. The preset sensor installation rules include the minimum distance between sensors and the position where the sensor should be installed in the pipeline.

5. The GIS-based underground pipe network information management system for thermal power plants according to claim 1, characterized in that: The data processing and analysis module is also used for: The data processing and analysis module aggregates the simulation data of the stopped sensors and the real-time data of the non-stop sensors, and pre-processes the aggregated data. The data processing and analysis module inputs the pre-processed data set to be analyzed into the preset thermal power plant underground pipeline network monitoring model. The thermal power plant underground pipeline network monitoring model analyzes the input data and outputs the analysis results. The output analysis results include pipeline network health status assessment, anomaly detection alarm, fault prediction and performance optimization suggestions.

6. The GIS-based underground pipe network information management system for thermal power plants according to claim 5, characterized in that: The data processing and analysis module is also used for: The data processing and analysis module receives the sensor data transmitted by the wireless network in real time, and compares the sensor data transmitted by the wireless network with the pre-set sensor safety operation status data; By comparing the sensor data transmitted by the wireless network with the pre-set sensor safety operation status data, the sensor with abnormal data or failing to send data on time is identified and marked as a stopped sensor; Access a database storing historical data of sensors, filter out data of the sensors that have stopped working in historical periods from the database according to identifications of the sensors that have stopped working, preprocess the filtered out data of the sensors that have stopped working in historical periods, use the preprocessed data as training set data, train the model using the preprocessed training set data, and obtain a sensor data simulation model.

7. The GIS-based underground pipe network information management system for thermal power plants according to claim 6, characterized in that: The data processing and analysis module is also used for: The data processing and analysis module receives sensor data transmitted from the wireless network in real time, analyzes the received data, and extracts the sensor's identification information and its real-time status data; A set of sensors in safe or normal operating states and their corresponding state parameter ranges are predefined in the system, and the state parameter ranges include the measurement value range of the sensors and the data transmission frequency; Compare the parsed real-time sensor data with the state parameters of the safety sensor to check whether the real-time data exceeds the range of the safety state parameters or whether the sensor fails to send data on time; If the real-time data of the sensor is abnormal or the data is not sent on time, it is marked as a stopped sensor, and a list of stopped sensors is generated. The list of stopped sensors includes identification information of the sensor and time information of the stopped operation.

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