Transformer substation intelligent security linkage system and method based on multi-source perception

Abstract

The invention discloses a transformer substation intelligent security linkage system and method based on multi-source perception, belongs to the technical field of power system automation and intelligent security, and aims to solve the problems of isolated operation of equipment, poor linkage, low manual monitoring efficiency, insufficient data processing capability and poor adaptability to complex scenes in an existing transformer substation security system. Comprising a multi-source sensing terminal layer, a data fusion processing layer, an intelligent analysis decision-making layer, a linkage control execution layer and an application display layer. According to the invention, through deep fusion of various intelligent terminal devices and utilization of artificial intelligence, big data analysis and other technologies, intelligent monitoring, early warning and disposal of the security scene of the transformer substation are realized, manual intervention is greatly reduced, the efficiency and accuracy of security work are improved, and through a multi-source data preprocessing fusion model, the real-time performance of the transformer substation is improved. Massive security and protection data are efficiently processed and analyzed, valuable information is extracted, and powerful support is provided for security and protection decision making.

Description

Technical Field

[0001] This invention belongs to the field of power system automation and intelligent security technology, specifically relating to a substation intelligent security linkage system and method based on multi-source sensing. Background Technology

[0002] In power systems, substations serve as crucial nodes for power transmission and distribution, and their safe operation directly impacts the stability and reliability of the power system. With the advancement of smart grid construction, the intelligence level of substations is continuously improving, but the limitations of traditional security systems are becoming increasingly apparent. In traditional solutions, devices such as smart access control systems, cameras, and loudspeakers often operate independently, lacking data interaction and linkage mechanisms, leading to delayed responses to security incidents. Simultaneously, massive amounts of operational data (such as equipment telemetry and signaling, meteorological information, and defect records) are not effectively integrated, making it difficult to achieve early identification and accurate warnings of potential hazards. Furthermore, manual inspection methods suffer from low efficiency and high missed detection rates, failing to meet the 24 / 7, high-precision security requirements of substations.

[0003] The main shortcomings of existing technologies include isolated data from multi-source sensing devices, which cannot form a collaborative protection capability; lack of intelligent analysis models based on big data, making it difficult to achieve proactive early warning of potential hazards; single linkage control strategy, which cannot adapt to the security protection needs of complex scenarios; and high degree of human intervention and insufficient automation, resulting in low response efficiency.

[0004] Therefore, there is a need for a substation intelligent security linkage system and method based on multi-source sensing to solve the technical problems of isolated equipment operation, poor linkage, low efficiency of manual monitoring, insufficient data processing capabilities, and poor adaptability to complex scenarios in existing substation security systems. Summary of the Invention

[0005] The purpose of this invention is to provide a substation intelligent security linkage system and method based on multi-source sensing, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a substation intelligent security linkage system based on multi-source sensing, comprising:

[0007] The multi-source sensing terminal layer is used to collect personnel entry and exit information, video images, environmental parameters, and equipment status data within the substation.

[0008] The data fusion processing layer is used to preprocess, spatiotemporally align, and fuse the data collected by the multi-source sensing terminal layer.

[0009] The intelligent analysis and decision-making layer includes an intelligent early warning model, a fault tripping diagnosis model, and an operation task parsing model, which are used to realize abnormal behavior identification, fault diagnosis, and operation command parsing.

[0010] The linkage control execution layer is used to execute multi-level linkage strategies based on the output results of the intelligent analysis and decision-making layer.

[0011] The application presentation layer is used to provide security data visualization and human-computer interaction interface.

[0012] According to the above technical solution, the multi-source sensing terminal layer includes intelligent access control, cameras, loudspeakers, electric gates, infrared beams, intelligent safety helmets, UWB positioning devices, intelligent tools, and intelligent locks.

[0013] According to the above technical solution, the data fusion processing layer specifically includes a multi-source data preprocessing fusion model and a data storage module, wherein:

[0014] Multi-source data preprocessing and fusion model: Classifies, summarizes, cleans, integrates, and correlates the collected equipment telemetry and telemetry information, meteorological information, defect information, alarm information, real-time on-site video, information protection substation data, fault recording files, production operation data, and business management data to form a standardized data format;

[0015] Data storage module: Stores the preprocessed data in the database for subsequent analysis and application.

[0016] According to the above technical solution, the intelligent early warning model utilizes advanced real-time data analysis technology to deeply mine the video stream captured by the camera and the data uploaded by the smart terminal, automatically identify abnormal behavior and changes in equipment status, and at the same time combine environmental monitoring data to construct a multi-dimensional and multi-level intelligent early warning mechanism to achieve accurate push of early warning information.

[0017] The accident tripping diagnosis and analysis model is built on the basis of accident tripping data. It extracts key features related to accident tripping, accurately identifies the cause and location of accident tripping, and provides corresponding handling suggestions.

[0018] The operation task parsing model refines and standardizes key technical terms for operation tasks, constructs an operation task parsing algorithm system, extracts the operation equipment and equipment status of operation items, matches equipment ledgers and video preset positions, and forms the foundation of the remote operation data chain.

[0019] According to the above technical solution, the linkage control execution layer includes a security terminal linkage module, an operation process monitoring linkage module, and a remote operation confirmation linkage module, specifically:

[0020] The security terminal linkage module supports click-based terminal linkage operations;

[0021] The operation process monitoring and linkage module supports pre-configured cameras, which are pre-loaded after the operation begins to enable operation process monitoring; it supports handling violations in conjunction with the broadcast speaker function; it supports monitoring the operation process through the video and call functions of smart safety helmets; it supports UWB positioning technology to achieve real-time location monitoring of operators; and it supports access to mobile surveillance cameras to manage areas without camera coverage.

[0022] The remote operation confirmation linkage module supports switching to the preset position of the operating device binding, viewing the real-time video stream of the device, and realizing remote operation confirmation.

[0023] According to the above technical solution, the application presentation layer includes a management cockpit, a security personnel cockpit, and a data statistics and analysis interface, specifically:

[0024] The management cockpit, combined with substation security management standards, provides office personnel with cockpit functions based on the geographical maps of municipal bureaus and patrol and maintenance centers. It allows them to manage security work and view the overall security situation, including security work status, security alarm management, one-station-one-alarm view, and security personnel view.

[0025] The security personnel cockpit provides security personnel cockpit functions based on the plant site, supporting security personnel to view camera monitoring images in real time, supporting terminal linkage, including quick switching of preset positions and PTZ control, supporting setting the patrol time for security monitoring patrol, supporting the archiving of patrol records, supporting users to view the historical stored video of the camera, and providing quick processing functions;

[0026] The data statistics and analysis interface supports statistical analysis and display of regulations and systems, security terminal availability, work order closure status, and security alarm status.

[0027] A substation intelligent security linkage method based on multi-source sensing includes the following steps:

[0028] S1. Multi-source data acquisition: Through various intelligent terminal devices in the multi-source sensing terminal layer, real-time acquisition of multi-source data such as personnel entry and exit information, video images, environmental parameters, and equipment status within the substation is achieved.

[0029] S2. Data Preprocessing and Fusion: Using a multi-source data preprocessing and fusion model, the collected data is classified, summarized, cleaned, integrated, correlated, preprocessed, and fused to form a standardized data pool.

[0030] S3. Intelligent analysis and decision-making: Utilize intelligent early warning models and fault tripping diagnosis models to detect anomalies and locate faults.

[0031] S4. Linkage Control Execution: Based on the results of intelligent analysis and decision-making, trigger the corresponding linkage control strategy;

[0032] S5. Data Display and Interaction: Through the application display layer, users are provided with real-time security data display, alarm information prompts, and operation interface to facilitate management and decision-making. At the same time, users can also configure and control the system through the application display layer.

[0033] According to the above technical solution, the intelligent analysis and decision-making in step S3 specifically includes the following steps:

[0034] S301. Abnormal Behavior and Status Recognition: Through an intelligent early warning model, the fused data is analyzed in depth to automatically identify abnormal behavior of personnel and abnormal status of equipment.

[0035] S302. Fault Trip Diagnosis: When a fault trip occurs, the fault trip diagnosis and analysis model is used to analyze multi-source data before and after the fault trip to quickly locate the cause and location of the accident.

[0036] S303, Operation Task Analysis: For substation operation tasks, the operation ticket is analyzed through the operation task analysis algorithm system to extract key information about the operating equipment and its status.

[0037] According to the above technical solution, the linkage control execution in step S4 specifically includes the following steps:

[0038] S401, Safety Early Warning Linkage: When abnormal behavior or status is detected, the relevant early warning devices are automatically triggered, and alarm notifications are sent to relevant personnel.

[0039] S402, Accident Handling Linkage: After an accident trip diagnosis, an accident handling plan is automatically generated, and relevant equipment is linked to handle the accident.

[0040] S403, Operation Task Linkage: During substation operation, based on the operation task analysis results, the camera is linked to perform real-time video monitoring to achieve remote operation confirmation and transmit the operation results back to the power grid management platform.

[0041] Compared with the prior art, the intelligent security linkage system and method for substations based on multi-source sensing provided by the present invention has at least the following beneficial effects:

[0042] (1) This invention achieves intelligent monitoring, early warning and handling of substation security scenarios by deeply integrating multiple intelligent terminal devices and using artificial intelligence, big data analysis and other technologies. This greatly reduces manual intervention and improves the efficiency and accuracy of security work. Through a multi-source data preprocessing fusion model, it efficiently processes and analyzes massive amounts of security data, extracts valuable information, and provides strong support for security decision-making. At the same time, the centralized storage and management of data also facilitates subsequent query and statistics.

[0043] (2) This invention breaks the traditional isolated operation of security equipment, realizes information sharing and collaborative work among various devices, and forms an organic whole. When a device detects an anomaly, it can quickly link other related devices to respond, thereby improving the overall security and reliability of the system. Furthermore, it can adapt to the complex and ever-changing operating environment and security threats of substations, and accurately identify and handle various abnormal situations. For example, it can accurately identify violations during operation through AI recognition algorithms, and quickly locate the cause of the accident through the accident tripping diagnosis model.

[0044] (3) This invention provides substation operation and maintenance personnel with comprehensive and real-time security data and management tools, which facilitates daily management and decision-making. For example, the management cockpit function allows operation and maintenance personnel to intuitively understand the security situation of the substation and promptly discover and handle problems. At the same time, through intelligent analysis and linkage control, the system's response speed to security events is greatly improved. Attached Figure Description

[0045] Figure 1 This is a structural block diagram of a substation intelligent security linkage system based on multi-source sensing according to the present invention;

[0046] Figure 2 This is a flowchart illustrating a substation intelligent security linkage method based on multi-source sensing according to the present invention. Detailed Implementation

[0047] The present invention will be further described below with reference to embodiments.

[0048] Please see Figure 1 This invention provides a substation intelligent security linkage system based on multi-source sensing, comprising:

[0049] The multi-source sensing terminal layer is used to collect personnel entry and exit information, video images, environmental parameters and equipment status data in the substation, including smart access control, cameras, loudspeakers, electric gates, infrared beams, smart safety helmets, UWB positioning devices, smart tools, smart locks and smart terminal devices.

[0050] The data fusion processing layer is used to preprocess, spatiotemporally align, and fuse features of the data collected by the multi-source sensing terminal layer. Specifically, it includes a multi-source data preprocessing fusion model and a data storage module, wherein:

[0051] Multi-source data preprocessing and fusion model: Classifies, summarizes, cleans, integrates, and correlates the collected equipment telemetry and telemetry information, meteorological information, defect information, alarm information, real-time on-site video, information protection substation data, fault recording files, production operation data, and business management data to form a standardized data format;

[0052] Data storage module: Stores preprocessed data in the database for subsequent analysis and application;

[0053] The intelligent analysis and decision-making layer includes an intelligent early warning model, a fault tripping diagnosis model, and an operation task parsing model. These are used to achieve abnormal behavior identification, fault diagnosis, and operation command parsing, including:

[0054] The intelligent early warning model utilizes advanced real-time data analysis technology to deeply mine video streams captured by cameras and data uploaded by smart terminals, automatically identifying abnormal behaviors and changes in equipment status. At the same time, it combines environmental monitoring data to build a multi-dimensional and multi-level intelligent early warning mechanism to achieve accurate delivery of early warning information.

[0055] The accident tripping diagnosis and analysis model is built on the basis of accident tripping data. It extracts key features related to accident tripping, accurately identifies the cause and location of accident tripping, and provides corresponding handling suggestions.

[0056] The operation task parsing model refines and standardizes the key professional terms of operation tasks, constructs an operation task parsing algorithm system, extracts the operation equipment and equipment status of operation items, matches the equipment ledger and video preset positions, and forms the foundation of the remote operation data chain.

[0057] The linkage control execution layer is used to execute multi-level linkage strategies based on the output results of the intelligent analysis and decision-making layer. This includes a security terminal linkage module, an operation process monitoring linkage module, and a remote operation confirmation linkage module. Specifically:

[0058] The security terminal linkage module supports click-based terminal linkage operations;

[0059] The operation process monitoring and linkage module supports pre-configured cameras, which are pre-loaded after the operation begins to enable operation process monitoring; it supports handling violations in conjunction with the broadcast speaker function; it supports monitoring the operation process through the video and call functions of smart safety helmets; it supports UWB positioning technology to achieve real-time location monitoring of operators; and it supports access to mobile surveillance cameras to manage areas without camera coverage.

[0060] The remote operation confirmation linkage module supports switching to the preset position of the operating device binding, viewing the real-time video stream of the device, and realizing remote operation confirmation.

[0061] The application presentation layer provides visualization of security data and a human-computer interaction interface, including a management dashboard, a security personnel dashboard, and a data statistical analysis interface. Specifically:

[0062] The management cockpit, combined with substation security management standards, provides office personnel with cockpit functions based on the geographical maps of municipal bureaus and patrol and maintenance centers. It allows them to manage security work and view the overall security situation, including security work status, security alarm management, one-station-one-alarm view, and security personnel view.

[0063] The security personnel cockpit provides security personnel cockpit functions based on the plant site, supporting security personnel to view camera monitoring images in real time, supporting terminal linkage, including quick switching of preset positions and PTZ control, supporting setting the patrol time for security monitoring patrol, supporting the archiving of patrol records, supporting users to view the historical stored video of the camera, and providing quick processing functions;

[0064] The data statistics and analysis interface supports statistical analysis and display of regulations and systems, security terminal availability, work order closure status, and security alarm status.

[0065] The multi-source data preprocessing and fusion model includes:

[0066] Data cleaning module: Removes invalid data through wavelet transform denoising and outlier detection algorithms (such as Isolation Forest);

[0067] Spatiotemporal alignment module: Based on the IEEE 1588 precise clock synchronization protocol, it realizes the unification of timestamps for multi-source data;

[0068] Feature fusion module: Employs a PCA-LSTM hybrid model to reduce and fuse multi-dimensional features such as video stream, device status, and environmental parameters.

[0069] Please see Figure 2 A method for intelligent security linkage in substations based on multi-source sensing includes the following steps:

[0070] S1. Multi-source data acquisition: Through various intelligent terminal devices in the multi-source sensing terminal layer, real-time acquisition of multi-source data such as personnel entry and exit information, video images, environmental parameters, and equipment status within the substation is achieved.

[0071] S2. Data Preprocessing and Fusion: Using a multi-source data preprocessing and fusion model, the collected data is classified, summarized, cleaned, integrated, correlated, preprocessed, and fused to form a standardized data pool.

[0072] S3. Intelligent Analysis and Decision-Making: Utilizing intelligent early warning models and fault tripping diagnosis models for anomaly detection and fault location, specifically including the following steps:

[0073] S301. Abnormal Behavior and Status Recognition: Through intelligent early warning models, the fused data is analyzed in depth to automatically identify abnormal behavior of personnel (such as entering restricted areas, violating regulations, etc.) and abnormal status of equipment (such as equipment failure, abnormal parameters, etc.).

[0074] S302. Fault Trip Diagnosis: When a fault trip occurs, the fault trip diagnosis and analysis model is used to analyze multi-source data before and after the fault trip to quickly locate the cause and location of the accident.

[0075] S303, Operation Task Analysis: For substation operation tasks, the operation ticket is analyzed through the operation task analysis algorithm system to extract key information such as the operating equipment and equipment status;

[0076] S4. Linkage Control Execution: Based on the results of intelligent analysis and decision-making, trigger the corresponding linkage control strategy, which includes the following steps:

[0077] S401, Safety Early Warning Linkage: When abnormal behavior or status is detected, relevant early warning devices are automatically triggered, such as broadcasting alarm information, adjusting the camera to the abnormal position for tracking and filming, and sending alarm notifications to relevant personnel.

[0078] S402, Accident Handling Linkage: After an accident trip diagnosis, an accident handling plan is automatically generated, and related equipment is linked to handle the accident, such as shutting down related switches and starting backup equipment.

[0079] S403, Operation Task Linkage: During substation operation, based on the operation task analysis results, the camera is linked to perform real-time video monitoring to achieve remote operation confirmation and transmit the operation results back to the power grid management platform.

[0080] S5. Data Display and Interaction: Through the application display layer, users are provided with real-time security data display, alarm information prompts, operation interface, etc., which facilitates user management and decision-making. At the same time, users can also configure and control the system through the application display layer.

[0081] In summary: This enables intelligent monitoring, early warning, identification, and handling of substations, improving their safety protection level and ensuring their stable operation.

[0082] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0083] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A substation intelligent security linkage system based on multi-source sensing, characterized in that: include: The multi-source sensing terminal layer is used to collect personnel entry and exit information, video images, environmental parameters, and equipment status data within the substation. The data fusion processing layer is used to preprocess, spatiotemporally align, and fuse the data collected by the multi-source sensing terminal layer. The intelligent analysis and decision-making layer includes an intelligent early warning model, a fault tripping diagnosis model, and an operation task parsing model, which are used to realize abnormal behavior identification, fault diagnosis, and operation command parsing. The linkage control execution layer is used to execute multi-level linkage strategies based on the output results of the intelligent analysis and decision-making layer. The application presentation layer is used to provide security data visualization and human-computer interaction interface.

2. The intelligent security linkage system for substations based on multi-source sensing according to claim 1, characterized in that: The multi-source sensing terminal layer includes intelligent access control, cameras, loudspeakers, electric gates, infrared beams, intelligent safety helmets, UWB positioning devices, intelligent tools, and intelligent locks.

3. The intelligent security linkage system for substations based on multi-source sensing according to claim 2, characterized in that: The data fusion processing layer specifically includes a multi-source data preprocessing and fusion model and a data storage module, wherein: Multi-source data preprocessing and fusion model: Classifies, summarizes, cleans, integrates, and correlates the collected equipment telemetry and telemetry information, meteorological information, defect information, alarm information, real-time on-site video, information protection substation data, fault recording files, production operation data, and business management data to form a standardized data format; Data storage module: Stores the preprocessed data in the database for subsequent analysis and application.

4. The intelligent security linkage system for substations based on multi-source sensing according to claim 3, characterized in that: The intelligent early warning model utilizes advanced real-time data analysis technology to deeply mine the video stream captured by the camera and the data uploaded by the smart terminal, automatically identify abnormal behavior and changes in equipment status, and combine it with environmental monitoring data to construct a multi-dimensional and multi-level intelligent early warning mechanism to achieve accurate push of early warning information. The accident tripping diagnosis and analysis model is built on the basis of accident tripping data. It extracts key features related to accident tripping, accurately identifies the cause and location of accident tripping, and provides corresponding handling suggestions. The operation task parsing model refines and standardizes key technical terms for operation tasks, constructs an operation task parsing algorithm system, extracts the operation equipment and equipment status of operation items, matches equipment ledgers and video preset positions, and forms the foundation of the remote operation data chain.

5. The intelligent security linkage system for substations based on multi-source sensing according to claim 4, characterized in that: The linkage control execution layer includes a security terminal linkage module, an operation process monitoring linkage module, and a remote operation confirmation linkage module, specifically: The security terminal linkage module supports click-based terminal linkage operations; The operation process monitoring and linkage module supports pre-configured cameras. After the operation process begins, the pre-configured cameras are loaded to realize operation process monitoring; it also supports the use of broadcast loudspeaker function to handle violations. Supports monitoring of the work process via video and call functions of smart safety helmets; Supports UWB positioning technology to achieve real-time location monitoring of workers; supports connection to mobile surveillance cameras to manage areas without camera coverage. The remote operation confirmation linkage module supports switching to the preset position of the operating device binding, viewing the real-time video stream of the device, and realizing remote operation confirmation.

6. The intelligent security linkage system for substations based on multi-source sensing according to claim 5, characterized in that: The application presentation layer includes a management cockpit, a security personnel cockpit, and a data statistics and analysis interface, specifically: The management cockpit, combined with substation security management standards, provides office personnel with cockpit functions based on the geographical maps of municipal bureaus and patrol and maintenance centers. It allows them to manage security work and view the overall security situation, including security work status, security alarm management, one-station-one-alarm view, and security personnel view. The security personnel cockpit provides security personnel cockpit functions based on the plant site, supports security personnel to view camera monitoring images in real time, supports terminal linkage, including quick switching of preset positions and PTZ control, supports setting the patrol time for security monitoring patrol, supports archiving patrol records, supports users to view historical video storage of cameras, and provides quick processing functions; The data statistics and analysis interface supports statistical analysis and display of regulations and systems, security terminal availability, work order closure status, and security alarm status.

7. A substation intelligent security linkage method based on multi-source sensing, characterized in that: Includes the following steps: S1. Multi-source data acquisition: Through various intelligent terminal devices in the multi-source sensing terminal layer, real-time acquisition of multi-source data such as personnel entry and exit information, video images, environmental parameters, and equipment status within the substation is achieved. S2. Data Preprocessing and Fusion: Using a multi-source data preprocessing and fusion model, the collected data is classified, summarized, cleaned, integrated, correlated, preprocessed, and fused to form a standardized data pool. S3. Intelligent analysis and decision-making: Utilize intelligent early warning models and fault tripping diagnosis models to detect anomalies and locate faults. S4. Linkage Control Execution: Based on the results of intelligent analysis and decision-making, trigger the corresponding linkage control strategy; S5. Data Display and Interaction: Through the application display layer, users are provided with real-time security data display, alarm information prompts, and operation interface to facilitate management and decision-making. At the same time, users can also configure and control the system through the application display layer.

8. The intelligent security linkage method for substations based on multi-source sensing according to claim 7, characterized in that: The intelligent analysis and decision-making described in step S3 specifically includes the following steps: S301. Abnormal Behavior and Status Recognition: Through an intelligent early warning model, the fused data is analyzed in depth to automatically identify abnormal behavior of personnel and abnormal status of equipment. S302. Fault Trip Diagnosis: When a fault trip occurs, the fault trip diagnosis and analysis model is used to analyze multi-source data before and after the fault trip to quickly locate the cause and location of the accident. S303, Operation Task Analysis: For substation operation tasks, the operation ticket is analyzed through the operation task analysis algorithm system to extract key information about the operating equipment and its status.

9. The intelligent security linkage method for substations based on multi-source sensing according to claim 8, characterized in that: The linkage control execution in step S4 specifically includes the following steps: S401, Safety Early Warning Linkage: When abnormal behavior or status is detected, the relevant early warning devices are automatically triggered, and alarm notifications are sent to relevant personnel. S402, Accident Handling Linkage: After an accident trip diagnosis, an accident handling plan is automatically generated, and relevant equipment is linked to handle the accident. S403, Operation Task Linkage: During substation operation, based on the operation task analysis results, the camera is linked to perform real-time video monitoring to achieve remote operation confirmation and transmit the operation results back to the power grid management platform.

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