Intelligent patrol system for safety management and control of transformer substation

Abstract

The invention relates to the technical field of substation safety management and control, in particular to an intelligent patrol system for substation safety management and control. Comprising a data acquisition module used for acquiring image or video data of a substation operation area; the intelligent identification module is in signal connection with the data acquisition module, and performs violation behavior and potential safety hazard identification on the acquired image or video data based on a preset safety behavior database; the network transmission module is in signal connection with the intelligent identification module and is used for transmitting an identification result and related data; the early warning module is in signal connection with the network transmission module, and a recognition result triggers a corresponding early warning action; and the control terminal is in signal connection with the network transmission module and the early warning module and is used for receiving the data, sending a control instruction and monitoring the operation state of the system. The system technically achieves exceeding of a traditional safety supervision mode, the safety level is improved, the operation cost is reduced, and the management process is optimized. The method is mainly applied to substation safety control intelligent patrol.

Description

Technical Field

[0001] This invention relates to the field of substation safety management and control technology, and more specifically, to an intelligent inspection system for substation safety management and control. Background Technology

[0002] Substations are core infrastructure of the power system, and their safe operation directly affects the reliability of regional power supply. With the development of the power grid's "one body, four wings" structure and the advancement of infrastructure construction's "six refinements and four modernizations," most 220kV and above substations are fully outdoor intelligent types, characterized by a wide substation area, dispersed work surfaces, and numerous cross-disciplinary procedures. They also involve high-risk operations such as equipment hoisting and high-voltage testing, involve complex personnel, and pose extreme challenges to safety management. If regulatory oversight leads to an accident, it can not only cause economic losses but also endanger personal safety and disrupt power supply.

[0003] Currently, substation safety supervision mainly relies on two traditional methods: On-site manual supervision: This requires dedicated monitoring personnel at each work site to manually assess operational compliance and equipment status. However, this solution is labor-intensive, cannot provide 24 / 7 uninterrupted monitoring, and its effectiveness depends on the skill level and mental state of the personnel, making it prone to overlooking potential hazards due to fatigue or limited viewing angles, resulting in delayed response times. Remote video supervision: This involves transmitting video to a monitoring center via fixed cameras for manual viewing and supervision. While reducing on-site personnel, it still relies on manual judgment, making it susceptible to delays in hazard identification due to visual fatigue. Furthermore, it often uses a client / server architecture, resulting in high maintenance costs, poor flexibility, data transmission vulnerability to network issues, a lack of dynamic safety databases, and insufficient adaptability and accuracy. Summary of the Invention

[0004] To overcome the shortcomings of the existing technology, the present invention provides an intelligent inspection system for substation safety management.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A smart inspection system for substation safety management and control. Includes a data acquisition module for acquiring image or video data of the substation's operating area; The intelligent recognition module is connected to the data acquisition module by signal and identifies violations and safety hazards in the acquired image or video data based on a preset safety behavior database. A network transmission module is connected to the intelligent recognition module via a signal and is used to transmit recognition results and related data; The early warning module is connected to the network transmission module and triggers a corresponding early warning action based on the recognition result. The control terminal is connected to the network transmission module and the early warning module respectively, and is used to receive data, send control commands and monitor the system operation status.

[0006] The data acquisition module includes an intelligent camera device and an environmental sensor. The intelligent camera device is used to capture image or video data of personnel operation, equipment status and work procedures in the work area. The environmental sensor is used to collect environmental parameter data of the work area. The environmental parameter data and the image or video data are synchronously transmitted to the intelligent recognition module.

[0007] The intelligent recognition module adopts machine vision recognition technology. The preset safety behavior database integrates personnel information, violation characteristics, special operation specifications and equipment safety status standards related to substation operations. The intelligent recognition module compares the collected data with the standard information in the database to achieve automatic identification and analysis of target objects, and has the ability to learn and optimize autonomously.

[0008] The network transmission module adopts a browser-server (B / S) architecture, centrally deploying the core components of the system functionality on the B / S architecture server. Clients access the server through a browser to obtain data and operation permissions. The network transmission module uses dedicated network transmission unit technology to ensure the stability and security of data transmission.

[0009] The warning actions of the warning module include sound alarm from the sound alarm unit, visual alarm from the visual alarm unit, and information push from the information push unit. When the intelligent recognition module identifies a violation or safety hazard, the warning module immediately triggers an alarm and pushes information including the recognition result and the location of the incident to the control terminal through the information push unit.

[0010] The control terminal is developed based on the Windows operating system platform and has functions such as data query, control command sending, system status monitoring and early warning information processing. The control terminal can import personnel data and anti-violation data related to the substation to supplement and improve the preset safety behavior database.

[0011] It also includes a database update module, which is connected to the intelligent recognition module and the control terminal. The database update module is used to receive the recognition result verification information fed back by manual verification and to dynamically update and optimize the preset security behavior database according to the verification information.

[0012] The intelligent identification module's identification scope includes violations such as personnel not operating according to regulations, violations during special operations, unsafe conditions of key processes, and abnormal conditions of substation equipment. During the identification process, feature vectors are extracted from the collected data and matched with standard feature vectors in the database.

[0013] After receiving the warning information, the control terminal can send linkage control commands to the relevant operating equipment in the substation to realize immediate intervention in illegal operations. The control commands are synchronously fed back to the B / S architecture server through the network transmission module for recording and archiving.

[0014] Compared with existing technologies, the beneficial effects of this invention are as follows: The system integrates machine vision technology with a pre-set safety behavior database, achieving fully automatic and high-precision identification of personnel violations, equipment malfunctions, and environmental risks. By comprehensively utilizing intelligent camera equipment and environmental sensors, the system constructs an integrated air-ground multi-dimensional data acquisition network, overcoming the limitations of manual supervision in terms of time, effort, and observation angle. Combined with a B / S architecture and dedicated network transmission technology, the system supports 24 / 7 uninterrupted operation and remote monitoring, realizing unmanned intelligent inspection of the entire complex operating area of ​​the substation. The database update module and machine learning feedback mechanism can dynamically optimize the pre-set safety behavior database and identification algorithm based on historical identification data and manual verification feedback. This not only addresses known violation types but also possesses self-learning and adaptive capabilities for new types of hazards, thereby continuously improving identification accuracy and the system's long-term applicability. Developed based on the general Windows platform and B / S architecture, it fully utilizes existing infrastructure, resulting in low hardware and software costs, strong compatibility, and convenient deployment. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the system of the present invention; Figure 2 This is a flowchart of the data processing and early warning process of the present invention; in the diagram: 1, data acquisition module; 11, intelligent camera device; 12, environmental sensor; 2, intelligent recognition module; 21, preset safety behavior database; 22, machine vision recognition unit; 3, network transmission module; 31, B / S architecture server; 32, private network transmission unit; 4, early warning module; 41, sound alarm unit; 42, visual alarm unit; 43, information push unit; 5, control terminal; 51, Windows operating system platform; 52, data processing and command sending unit; 6, database update module. Detailed Implementation

[0016] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0017] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0018] like Figures 1 to 2 As shown, a substation safety management and inspection intelligent inspection system includes a data acquisition module 1 for collecting image or video data of the substation work area; an intelligent identification module 2 connected to the data acquisition module 1 for identifying violations and safety hazards based on a preset safety behavior database 21; a network transmission module 3 connected to the intelligent identification module 2 for transmitting identification results and related data; an early warning module 4 connected to the network transmission module 3 for triggering corresponding early warning actions based on the identification results; and a control terminal 5 connected to both the network transmission module 3 and the early warning module 4 for receiving data, sending control commands, and monitoring the system's operating status.

[0019] Preferably, the data acquisition module 1 includes an intelligent camera device 11 and an environmental sensor 12. The intelligent camera device 11 is used to capture image or video data of personnel operations, equipment status, and work procedures within the work area. The environmental sensor 12 is used to collect environmental parameter data of the work area. The environmental parameter data and image or video data are synchronously transmitted to the intelligent recognition module 2. The intelligent camera device 11 can be a high-definition infrared camera or a panoramic camera device, deployed in key areas of the substation, ensuring full coverage through multi-angle shooting. The environmental sensor 12 includes a temperature and humidity sensor, a gas detection sensor, and a vibration sensor, used to monitor environmental anomalies in real time. The data acquisition module 1 packages and timestamps the collected multi-source data through an IoT interface and outputs it to the intelligent recognition module 2, providing complete input for subsequent analysis.

[0020] Preferably, the intelligent recognition module 2 employs machine vision recognition technology. A pre-set safety behavior database 21 integrates personnel information, violation characteristics, special operation specifications, and equipment safety status standards related to substation operations. The intelligent recognition module 2 automatically identifies and analyzes target objects by comparing the collected data with the standard information in the database 21, and possesses autonomous learning and optimization capabilities. Specifically, machine vision recognition technology is based on a deep learning model, using feature extraction and pattern matching to identify behaviors such as personnel not wearing safety helmets, illegally crossing boundaries, and violations of special operation regulations. The pre-set safety behavior database 21 stores historical violation cases and standard operation templates. The intelligent recognition module 2 calculates the similarity between the real-time collected data and the feature vectors in the database 21, outputting the recognition result. Simultaneously, module 2 integrates a feedback loop mechanism, dynamically adjusting model parameters based on recognition accuracy statistics to achieve autonomous learning and optimization, improving recognition accuracy and adaptability.

[0021] Preferably, the network transmission module 3 adopts a browser-server (B / S) architecture, centrally deploying the core components of the system functionality on the B / S architecture server 31. Clients access server 31 through a browser to obtain data and operation permissions. The network transmission module 3 uses the transmission technology of the dedicated network transmission unit 32 to ensure the stability and security of data transmission. The B / S architecture server 31 acts as a data hub, centrally processing the output results of the intelligent identification module 2 (such as identification data and early warning signals). Clients access server 31 via HTTP / HTTPS protocols to achieve remote monitoring and data querying. The dedicated network transmission unit 32 employs VPN tunnel encryption and redundant link design to ensure a data transmission rate of no less than 32MB / s and a response time of less than 0.1 seconds, preventing data leakage or loss. The network transmission module 3 also supports data compression and flow control to adapt to the complex network environment of substations.

[0022] Preferably, the warning actions of the warning module 4 include sound alarms from the sound alarm unit 41, visual alarms from the visual alarm unit 42, and information push notifications from the information push unit 43. When the intelligent recognition module 2 identifies a violation or safety hazard, the warning module 4 immediately triggers an alarm and pushes information including the recognition result and the location of the incident to the control terminal 5 via the information push unit 43. The warning module 4 adopts a multi-level triggering mechanism: for general violations, the sound alarm unit 41 and the visual alarm unit 42 are triggered; for high-risk hazards, the information push unit 43 sends detailed alarm information to the control terminal 5 via SMS, email, or a dedicated app, including images of the violation, location coordinates, and handling suggestions. The warning action is completed within one minute after the recognition result is input, ensuring real-time intervention. At the same time, the warning record is synchronously stored on the B / S architecture server 31 for post-event analysis.

[0023] Preferably, the control terminal 5 is developed based on the Windows operating system platform 51, and has functions such as data query, control command sending, system status monitoring, and early warning information processing. The control terminal 5 can import relevant personnel data and anti-violation data from the substation to supplement and improve the preset safety behavior database 21. The control terminal 5 adopts a graphical interface and supports multi-tasking operation. Users can view real-time monitoring screens, historical violation records, and system logs through the data query function. The control command sending function allows users to remotely adjust the angle of the intelligent camera device 11 or trigger an emergency response; the system status monitoring function displays the operating indicators of each module in real time. Through the data import interface, the control terminal 5 updates the preset safety behavior database 21 with newly added personnel information or anti-violation cases, enhancing the system's generalization ability.

[0024] Preferably, the system also includes a database update module 6, which is signal-connected to the intelligent recognition module 2 and the control terminal 5. This module receives verification information from manual checks and dynamically updates and optimizes the preset safety behavior database 21 based on the verification information. As the system's adaptive core, the database update module 6 receives manual verification input from the control terminal 5 and dynamically adjusts the standard feature vectors and rule base in the preset safety behavior database 21 through data cleaning and feature reconstruction. For example, when a new type of violation is confirmed by manual verification, the update module 6 adds its features to the database 21 and retrains the model of the intelligent recognition module 2, achieving closed-loop optimization.

[0025] Preferably, the intelligent identification module 2's identification scope includes personnel violations of operating procedures, violations during special operations, unsafe conditions of key processes, and abnormal conditions of substation equipment. During the identification process, feature vectors are simultaneously extracted from the collected data and matched with standard feature vectors in database 21. Specifically, the identification scope covers: personnel violations, violations during special operations, unsafe conditions of key processes, and abnormal conditions of equipment. The intelligent identification module 2 extracts feature vectors using image segmentation and target detection technologies, calculates the Euclidean distance between these vectors and the standard vectors in database 21, and outputs the matching result and risk level.

[0026] Preferably, after receiving the early warning information, the control terminal 5 can send linkage control commands to the relevant operating equipment in the substation to achieve immediate intervention in illegal operations. The control commands are synchronously fed back to the B / S architecture server 31 through the network transmission module 3 for recording and archiving. For example, when a violation of hoisting operations is detected, the control terminal 5 sends a pause command to the tower crane; when the environmental sensor 12 detects a fire risk, the terminal 5 triggers the fire protection system to start. The linkage control commands are sent in real time through the dedicated network transmission unit 32 of the network transmission module 3 and synchronously recorded in the log database of the B / S architecture server 31 for auditing and optimization. This linkage mechanism ensures closed-loop management of the system from identification to intervention, improving the inherent safety level. The above is only a detailed description of the preferred embodiment of the present invention, but the present invention is not limited to the above embodiment. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention, and all such changes should be included within the protection scope of the present invention.

Claims

1. A substation safety management and inspection intelligent inspection system, characterized in that: Includes a data acquisition module (1) for acquiring image or video data of the substation operating area; The intelligent identification module (2) is connected to the data acquisition module (1) by signal, and identifies violations and safety hazards in the collected image or video data based on the preset safety behavior database (21); The network transmission module (3) is connected to the intelligent recognition module (2) by signal and is used to transmit recognition results and related data; The early warning module (4) is connected to the network transmission module (3) by signal and triggers the corresponding early warning action based on the recognition result; The control terminal (5) is connected to the network transmission module (3) and the early warning module (4) respectively, and is used to receive data, send control commands and monitor the system operation status.

2. The intelligent inspection system for substation safety management and control according to claim 1, characterized in that, The data acquisition module (1) includes an intelligent camera device (11) and an environmental sensor (12). The intelligent camera device (11) is used to capture images or video data of personnel operation, equipment status and work procedures in the work area. The environmental sensor (12) is used to collect environmental parameter data of the work area. The environmental parameter data and the image or video data are synchronously transmitted to the intelligent recognition module (2).

3. The intelligent inspection system for substation safety management and control according to claim 1, characterized in that, The intelligent identification module (2) adopts machine vision recognition technology. The preset safety behavior database (21) integrates personnel information, violation characteristics, special operation specifications and equipment safety status standards related to substation operations. The intelligent identification module (2) compares the collected data with the standard information in the database (21) to achieve automatic identification and analysis of the target object and has the ability to learn and optimize autonomously.

4. The intelligent inspection system for substation safety management and control according to claim 1, characterized in that, The network transmission module (3) adopts a browser server B / S architecture, and the core part of the system function implementation is centrally deployed on the B / S architecture server (31). The client accesses the server (31) through the browser to obtain data and operation permissions. The network transmission module (3) adopts the transmission technology of the private network transmission unit (32) to ensure the stability and security of data transmission.

5. The intelligent inspection system for substation safety management and control according to claim 1, characterized in that, The warning actions of the warning module (4) include the sound alarm of the sound alarm unit (41), the visual alarm of the visual alarm unit (42) and the information push of the information push unit (43). When the intelligent identification module (2) identifies a violation or safety hazard, the warning module (4) immediately triggers an alarm and pushes the information containing the identification result and the location of the incident to the control terminal (5) through the information push unit (43).

6. The intelligent inspection system for substation safety management and control according to claim 1, characterized in that, The control terminal (5) is developed based on the Windows operating system platform (51) and has functions such as data query, control command sending, system status monitoring and early warning information processing. The control terminal (5) can import personnel data and anti-violation data related to the substation to supplement and improve the preset safety behavior database (21).

7. The intelligent inspection system for substation safety management and control according to claim 1, characterized in that, It also includes a database update module (6), which is connected to the intelligent identification module (2) and the control terminal (5) by signal. It is used to receive the identification result verification information fed back by manual verification and to dynamically update and optimize the preset security behavior database (21) according to the verification information.

8. The intelligent inspection system for substation safety management and control according to claim 3, characterized in that, The intelligent identification module (2) has the following identification range: violations of personnel not operating in accordance with regulations, violations of regulations during special operations, unsafe conditions of key processes and abnormal conditions of substation equipment. During the identification process, feature vectors in the collected data are extracted and matched with standard feature vectors in the database (21).

9. The intelligent inspection system for substation safety management and control according to claim 1, characterized in that, After receiving the warning information, the control terminal (5) can send linkage control commands to the relevant operating equipment in the substation to realize immediate intervention in illegal operations. The control commands are synchronously fed back to the B / S architecture server (31) through the network transmission module (3) for recording and archiving.

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