Intelligent sign device and management system for substation safety measure arrangement

Abstract

The application discloses an intelligentized sign device and management system for substation safety measure arrangement, relates to the technical field of substation electric power safety operation control, and comprises a task analysis module, which is used for acquiring and structurally analyzing work ticket and operation ticket data, extracting operation core information, and constructing the correlation mapping relationship between operation tasks and safety signs.The application automatically analyzes operation tickets by using a power special semantic analysis model, automatically generates a sign arrangement scheme in combination with hierarchical matching rules and equipment space coordinates, completely gets rid of the dependence on artificial experience, eliminates the problems of missed hanging, wrong hanging and redundant arrangement, unifies the substation safety measure arrangement standard, greatly improves operation compliance, and besides, the application can also realize the whole-process closed-loop control of the sign from scheme generation, on-site arrangement, dynamic monitoring, intelligent recycling, inventory updating and data archiving, standardizes the sign asset management, and reduces the equipment loss and loss rate.

Description

Technical Field

[0001] This invention relates to the field of power safety operation control technology in substations, specifically to an intelligent signage device and management system for the deployment of safety measures in substations. Background Technology

[0002] As a core hub of the power system, the safety management of substation operations directly affects the stable operation of power grid equipment and the personal safety of workers. Safety signs are a core safety measure in substation operations, used to isolate dangerous areas, warn of operational risks, and standardize work practices. They mainly include four categories of signs: prohibition signs, warning signs, instruction signs, and reminder signs, and are a key means of implementing power safety work procedures.

[0003] Currently, the management of substation signage in China is generally done manually, which has many technical defects and safety hazards: First, the placement of signs relies entirely on the experience of maintenance personnel. Manually checking work orders and operation permits to select signs and determine their locations and quantities easily leads to problems such as missed placement, incorrect placement, multiple placements, and misaligned locations, making it difficult to standardize the implementation of safety measures. Second, the signage placement process lacks standardized traceability records; information on operators, operation times, and placement locations is missing, making it impossible to accurately define safety responsibilities. Third, traditional static signs lack status monitoring capabilities, and the operation process... The system cannot detect abnormal conditions such as signage falling off, being obstructed, shifting, or being hung beyond its expiration date in real time. Abnormal problems can only be discovered through manual inspection, which is extremely delayed and can easily lead to personal injury and equipment safety accidents. Fourth, after the operation is completed, the signage is collected and checked manually, resulting in chaotic inventory management and problems such as lost, damaged, or uncounted signs, making it impossible to achieve closed-loop management throughout the entire life cycle. Fifth, the traditional management model cannot optimize deployment strategies by combining historical operation data, has poor adaptability to complex and cross-operation scenarios and high-risk operation scenarios, and has an extremely low level of intelligent and refined management.

[0004] In existing technologies, some solutions only achieve simple electronic display of signs, without forming a fully intelligent management and control system that covers the entire process from ticket parsing, intelligent deployment, dynamic monitoring, anomaly alarms to automatic recycling and data archiving. This fails to address the core pain points of poor compliance, difficulty in traceability, lagging monitoring, and fragmented management and control under the manual management model. Summary of the Invention

[0005] To address the aforementioned technical problems, an intelligent signage device and management system for the deployment of safety measures in substations is provided. This technical solution resolves the issues raised in the background section.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: An intelligent signage management system for the deployment of safety measures in substations includes: The task parsing module is used to acquire and structure-parse work order and operation ticket data, extract core operation information, and construct an association mapping relationship between operation tasks and safety signs. The intelligent matching and deployment module is used to pre-store the standard sign library and safety matching rules, automatically generate a standardized sign deployment scheme, and issue deployment instructions. The access control module is used to verify the identity and qualifications of operators, control the placement of signs, revoke operating permissions, and record operation traceability information. The status monitoring module is used to collect the position, attitude, display and communication status of the smart sign in real time, link the substation's five-prevention system to monitor the compliance of operations, identify abnormal working conditions and trigger alarms. The closed-loop archiving module is used to generate a recycling list after the operation is completed, complete the verification of sign entry, asset update, and archive the entire process operation data; An iterative optimization module is used to optimize matching rules and deployment models based on historical operation data.

[0007] Preferably, the task parsing module is used to acquire and structure-parse work order and operation ticket data, extract core operation information, and construct the association mapping relationship between operation tasks and safety signs. Specifically, this includes the following steps: Collect the original electronic data of work orders and operation tickets to be executed in the substation, and simultaneously retrieve the substation equipment topology database, equipment ledger database, and operator qualification and permission database. The trained power-specific semantic recognition model performs structured decomposition, keyword extraction, and semantic parsing of invoice text to accurately identify the type of work, the location of primary / secondary equipment corresponding to the work, the risk level of the work, the legal safety measures, the start and end time of the work, and the information of authorized personnel, while filtering out invalid remarks and redundant decorative text in the invoice. Spatial coordinate positioning of the work equipment locations obtained from the analysis is performed and bound to the power grid topology to clarify the work isolation range and the boundary of the hazardous area; Based on the parsed structured task data, a multi-dimensional correlation mapping model is established for task, equipment, safety measures, access rights and safety signs.

[0008] Preferably, the intelligent matching and control module is used to pre-store the standard signage library and safety matching rules, automatically generate a standardized signage deployment scheme, and issue deployment instructions, specifically including the following steps: The system calls upon a pre-built substation standard safety sign library, which categorizes and stores prohibition, warning, instruction, and prompt signs, and correspondingly stores the physical specifications, applicable operating scenarios, standard placement locations, placement priorities, and compatible voltage level parameters for each type of sign. Based on structured task data, the preset hierarchical safety matching rules are activated to automatically select a set of suitable target signs according to the task risk level, task type, and task area, avoiding the problems of missing, mismatched, or redundant sign configurations. By combining the spatial coordinate data of substation equipment, the corresponding safe operating distance specifications and operating isolation range of the power safety work regulations, the layout coordinates and number of each target sign are accurately determined; Based on the work process flow and safety control priorities, the system determines the order of sign hanging and the effective hanging time, and automatically generates a standardized sign hanging plan that can be directly placed on the ground.

[0009] Preferably, the access control module is used to verify the identity and qualifications of operators, control the placement of signs, revoke operating permissions, and record operation traceability information. Specifically, it includes the following steps: The operator initiates a signage deployment request through the on-site smart terminal, and the system simultaneously triggers a dual-authority verification mechanism. The operation permissions of the operators are initially verified by their employee ID information, and the personnel identity is verified by facial recognition technology. Only after the double verification is passed can the operation permissions be unlocked. The generated standardized deployment plan is simultaneously pushed to the on-site operation intelligent terminal and the corresponding active intelligent signboard, and activation and display control commands are issued. The active intelligent signboard is controlled to complete power-on startup and parameter initialization, and the warning content and work information are updated adaptively according to the work task information. The system automatically records the operator ID, operation time, corresponding signage equipment number, and deployment location information for this deployment, generating an unalterable electronic ledger for deployment traceability.

[0010] Preferably, the status monitoring module is used to collect the position, attitude, display, and communication status of the intelligent sign in real time, and to link with the substation's five-prevention system to monitor operational compliance, identify abnormal operating conditions, and trigger alarms. Specifically, this includes the following steps: The system establishes a wireless communication link with each active smart sign in real time and continuously collects the sign's power supply status, GPS / RFID location status, screen display status, and attitude sensing data. The system integrates the five-prevention system of the substation, the equipment status monitoring system, and the on-site environmental monitoring system, and combines multi-source data to dynamically verify the compliance of the signage deployment. Based on attitude sensing data, position offset data, and on-site image recognition data, it can identify various abnormal working conditions in real time, such as sign offset, detachment, obstruction, mishanging, missing, and overdue hanging. Synchronously connect with the work progress ledger, and update the online operation status and effective warning status of all signs in real time according to the work progress status and remaining time, so as to achieve dynamic management and control of the entire work cycle.

[0011] Preferably, the closed-loop archiving module is used to generate a recycling list after the operation is completed, and to complete the verification of signage entry and asset updates. The archiving of the entire operation data specifically includes the following steps: After the work is completed, the system receives a work order termination verification instruction from the back-end or smart terminal, and the system automatically terminates the effective warning period of the sign. Based on the original deployment plan for this operation, an accurate list of signage to be recycled and the optimal on-site recycling route are automatically generated and pushed to the on-site operation terminal. Workers removed and inventoried all signs according to the recycling route, and completed the warehousing verification by scanning the RFID tags on the signs with handheld terminals; The system automatically compares the deployment list with the recycling list, verifies the quantity and numbering completeness of the signs, and classifies and marks damaged or faulty signs. The inventory ledgers for signs, equipment malfunction repairs, and operational safety measures are updated synchronously, and the data from the entire process of deployment, monitoring, and recovery for this operation are fully archived.

[0012] Preferably, the iterative optimization module for optimizing matching rules and deployment models based on historical operation data specifically includes the following steps: Regularly compile the signage layout plan, on-site monitoring data, abnormal alarm data, and problem rectification record log for each substation operation; The historical dataset is trained and learned through machine learning algorithms to iteratively optimize the intelligent matching rules for signs and the spatial layout model. For high-frequency abnormal scenarios, special working conditions, and complex cross-operation scenarios, we have specifically optimized the safety measure deployment strategy and abnormal judgment threshold. The optimized model and rules are synchronized and updated to the system database to continuously improve the accuracy and compliance of intelligent signage management.

[0013] Preferably, the active intelligent sign has a built-in RFID positioning chip, attitude sensor, wireless communication module, high-brightness display module and sound and light alarm module, which can realize real-time location positioning, autonomous status monitoring, adaptive information updating and active reporting of anomalies.

[0014] Furthermore, a method for managing intelligent signage for substation safety measures is proposed. This method employs an intelligent signage management system for substation safety measures, as described above, to manage the intelligent signage, including: S100. Obtain the original data of work orders and operation tickets to be executed in the substation, perform text structure recognition and semantic parsing on the work orders and operation tickets, extract the work type, work equipment location, work risk level, safety measure items, work time period, and work authority personnel information, and establish a one-to-one association mapping model between work tasks and safety signs based on the substation equipment topology relation library. S200. A pre-stored standard safety sign library for substations is established. The standard safety sign library contains specifications, applicable scenarios, placement locations, and placement priority standards for various types of prohibition, warning, instruction, and reminder signs. Combined with the work task information obtained from step S1, the library automatically matches the set of target signs required for the current operation through preset safety matching rules. Combined with the spatial coordinates of substation equipment and the work safety distance specifications, a standardized placement plan is generated that specifies the placement locations, quantity, order, and duration of the signs. S300 receives terminal operation requests from operators, verifies the operator's qualifications through dual authorization verification of facial recognition and employee ID, and then pushes the deployment plan to the smart terminal and active smart signage. It controls the smart signage at the corresponding location to complete power-on activation and adaptive information display, while recording the deployment operator, deployment time, and equipment number to form a deployment traceability ledger. The S400 collects real-time data on the working status, location status, and display status of each smart sign. Combined with data from the substation's five-prevention system, equipment status monitoring, and environmental monitoring, it dynamically monitors the compliance of sign deployment. It also identifies abnormal conditions such as sign offset, detachment, obstruction, mishanging, missing, and overdue hanging in real time, and updates the sign's operating status in real time in conjunction with the work progress. After the S500 operation is completed, the system receives the work order termination instruction and automatically generates a sign recycling list and recycling path, which is then pushed to the operation terminal. After the operators complete the removal, counting, and warehousing verification of the signs, the system automatically updates the sign inventory status and the execution status of the operation safety measures, and simultaneously archives the entire process data of sign deployment, monitoring, and recycling for this operation, forming a complete safety control closed loop. The S600 system regularly summarizes the signage deployment plans, monitoring data, abnormal alarms, and rectification logs for each substation operation. It uses machine learning algorithms to train and optimize signage matching rules and deployment point models, specifically optimizes deployment strategies and abnormal judgment thresholds for complex operation scenarios, iteratively updates the system database, and continuously improves the accuracy and compliance of intelligent signage management.

[0015] Furthermore, an intelligent signage device for the arrangement of safety measures in substations is proposed, which includes the intelligent signage management system for the arrangement of safety measures in substations as described above.

[0016] Compared with the prior art, the present invention provides an intelligent signage device and management system for the layout of safety measures in substations, which has the following beneficial effects: 1. This invention automatically parses work orders using a power-specific semantic parsing model, and automatically generates signage layout schemes by combining hierarchical matching rules and equipment spatial coordinates. This completely eliminates reliance on manual experience, prevents omissions, misplacements, and redundant layouts, unifies the standards for substation safety measures, and significantly improves work compliance.

[0017] 2. This invention uses dual authorization verification of employee ID and facial recognition to record the operator, time, location, and equipment information throughout the process, generating an unalterable electronic traceability ledger. This enables traceability of safety measures and definition of responsibility, meeting the requirements of power safety audits.

[0018] 3. This invention relies on the sensing, positioning, and communication capabilities of active intelligent signs to link data from multiple systems in the substation, identify various abnormal operating conditions in real time and issue proactive alarms, solving the problems of lagging and high missed detection rates in traditional manual inspection and monitoring, and preventing safety accidents from the source.

[0019] 4. This invention enables closed-loop management of the entire process of signage, from scheme generation, on-site deployment, dynamic monitoring, intelligent recycling, inventory updates, and data archiving, thereby standardizing signage asset management and reducing equipment wear and loss rates.

[0020] 5. This invention is based on machine learning algorithms to mine historical operation data, continuously optimize deployment rules and models, adapt to complex cross-operations and special working conditions, and the system's intelligence level can be dynamically iterated and improved to meet the management and control needs of various substation operation scenarios. Attached Figure Description

[0021] Figure 1 This is a structural block diagram of an intelligent signage management system for substation safety measures proposed in this invention; Figure 2 This is a flowchart illustrating steps S100-S600 of an intelligent signage management method for substation safety measures proposed in this invention. Detailed Implementation

[0022] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0023] Reference Figure 1 As shown, an intelligent signage management system for the deployment of safety measures in a substation includes: The task parsing module is used to acquire and structure-parse work order and operation ticket data, extract core operation information, and construct an association mapping relationship between operation tasks and safety signs. The intelligent matching and deployment module is used to pre-store the standard sign library and safety matching rules, automatically generate a standardized sign deployment scheme, and issue deployment instructions. The access control module is used to verify the identity and qualifications of operators, control the placement of signs, revoke operating permissions, and record operation traceability information. The status monitoring module is used to collect the position, attitude, display and communication status of the smart sign in real time, link the substation's five-prevention system to monitor the compliance of operations, identify abnormal working conditions and trigger alarms. The closed-loop archiving module is used to generate a recycling list after the operation is completed, complete the verification of sign entry, asset update, and archive the entire process operation data; An iterative optimization module, which is used to optimize matching rules and deployment models based on historical operation data; Among them, the active intelligent signage has built-in RFID positioning chip, attitude sensor, wireless communication module, high-brightness display module and sound and light alarm module, which can realize real-time location positioning, autonomous status monitoring, adaptive information updating and active reporting of anomalies.

[0024] Example 1

[0025] The task parsing module is used to acquire and structure-parse work order and operation ticket data, extract core operation information, and construct the association mapping relationship between operation tasks and safety signs. Specifically, it includes the following steps: Collect the original electronic data of work orders and operation tickets to be executed in the substation, and simultaneously retrieve the substation equipment topology database, equipment ledger database, and operator qualification and permission database. The trained power-specific semantic recognition model performs structured decomposition, keyword extraction, and semantic parsing of invoice text to accurately identify the type of work, the location of primary / secondary equipment corresponding to the work, the risk level of the work, the legal safety measures, the start and end time of the work, and the information of authorized personnel, while filtering out invalid remarks and redundant decorative text in the invoice. Spatial coordinate positioning of the work equipment locations obtained from the analysis is performed and bound to the power grid topology to clarify the work isolation range and the boundary of the hazardous area; Based on the parsed structured task data, a multi-dimensional correlation mapping model is established for task, equipment, safety measures, access rights and safety signs. In this embodiment, the system first comprehensively collects the original data of electronic work tickets and operation tickets corresponding to the work to be carried out at the substation site. Simultaneously, it retrieves the system's pre-stored substation equipment topology database, equipment ledger database, and operator qualification and permission database, achieving synchronous and linked access to multi-source basic data. Based on this, relying on a semantic recognition model fully trained with power industry sample data, the system performs structured decomposition, core keyword extraction, and deep semantic analysis of the full text of the tickets. This accurately distinguishes and extracts the specific work type, the precise locations of the primary and secondary equipment corresponding to the work, the inherent risk level of the work, the legally mandated safety measures, the legal start and end times of the work, and the information of the authorized operators. Simultaneously, it automatically filters out invalid remarks, verbose and redundant text, and meaningless auxiliary information from the ticket text, ensuring the purity and accuracy of the analyzed data. For the analyzed equipment locations, the system combines the substation spatial coordinate system with the power grid topology to achieve precise spatial coordinate positioning and power grid topology binding, accurately delineating the equipment isolation range, safe operation boundaries, and high-voltage danger zone boundaries for this work, eliminating the problem of ambiguous work scope definition. Finally, based on all the structured and parsed work data, a multi-dimensional correlation mapping model is constructed, covering work task information, corresponding equipment information, work-related safety measures, operator access rights, and safety sign types, providing accurate data support for subsequent intelligent sign matching and solution generation.

[0026] Example 2

[0027] The intelligent matching and deployment module is used to pre-store the standard signage library and safety matching rules, automatically generate standardized signage deployment schemes, and issue deployment commands, which specifically include the following steps: The system calls upon a pre-built substation standard safety sign library, which categorizes and stores prohibition, warning, instruction, and prompt signs, and correspondingly stores the physical specifications, applicable operating scenarios, standard placement locations, placement priorities, and compatible voltage level parameters for each type of sign. Based on structured task data, the preset hierarchical safety matching rules are activated to automatically select a set of suitable target signs according to the task risk level, task type, and task area, avoiding the problems of missing, mismatched, or redundant sign configurations. By combining the spatial coordinate data of substation equipment, the corresponding safe operating distance specifications and operating isolation range of the power safety work regulations, the layout coordinates and number of each target sign are accurately determined; Based on the work process flow and safety control priority, the order of sign hanging and the effective hanging time are determined, and a standardized sign hanging plan that can be directly placed on the ground is automatically generated. In this embodiment, the system first invokes the pre-built substation standard safety sign library. This database categorizes and stores safety signs into four main types according to power safety regulations: prohibition, warning, instruction, and prompt. It also records a complete set of standard parameters for each type of sign, including physical specifications, applicable operating scenarios, industry standard placement locations, placement priorities for different operating scenarios, and compatible grid voltage levels. Based on the complete operational task data obtained through prior structured parsing, the system activates its built-in hierarchical safety matching rules. According to the risk level, specific operation type, and actual operation area, it automatically selects a set of target signs perfectly suited to the current operational scenario. This algorithmically avoids compliance issues such as missing, mismatched, and redundant sign configurations that occur during traditional manual placement. Subsequently, the system, combining precise spatial coordinate data of substation equipment, operational safety distance standards specified in national power safety work regulations, and the equipment isolation range and danger zone boundaries designated for this operation, meticulously calibrated the coordinate points and verified the quantity of each selected target sign to ensure accurate placement and compliant quantity. Finally, based on on-site standard operating procedures and power safety management priorities, the system scientifically determined the order of on-site sign placement and the effective safe hanging time, automatically generating a standardized, implementable, and verifiable overall sign placement plan that can directly guide on-site personnel in its implementation.

[0028] Example 3

[0029] The access control module is used to verify the identity and qualifications of operators, set up control signs, revoke operating permissions, and record operation traceability information. Specifically, it includes the following steps: The operator initiates a signage deployment request through the on-site smart terminal, and the system simultaneously triggers a dual-authority verification mechanism. The operation permissions of the operators are initially verified by their employee ID information, and the personnel identity is verified by facial recognition technology. Only after the double verification is passed can the operation permissions be unlocked. The generated standardized deployment plan is simultaneously pushed to the on-site operation intelligent terminal and the corresponding active intelligent signboard, and activation and display control commands are issued. The active intelligent signboard is controlled to complete power-on startup and parameter initialization, and the warning content and work information are updated adaptively according to the work task information. Automatically record the operator ID, operation time, corresponding sign equipment number, and deployment location information for this deployment, and generate an unalterable electronic ledger for deployment traceability; In this embodiment, on-site personnel initiate a signage deployment operation request via a handheld smart terminal or on-site operation terminal. The system immediately activates a dual-authority verification mechanism to strictly control operation permissions. First, the system performs a preliminary permission verification using the operator's unique employee ID information to confirm whether the person corresponding to that ID possesses the necessary qualifications and permissions for the operation. Then, it simultaneously uses facial recognition technology to complete real-time identity verification of the operator. Only after both employee ID and facial recognition verifications are passed will the system unlock the corresponding signage deployment operation permission, preventing unauthorized personnel from operating the signage and posing a safety hazard. After successful permission verification, the system synchronously pushes the generated standardized signage deployment plan to the on-site operation smart terminal and the active smart signs at each corresponding deployment location, while simultaneously issuing device activation and display parameter adjustment control commands to each smart sign. Upon receiving instructions, each active intelligent sign automatically powers on and initializes its parameters. Based on the specific task information of the operation, it adaptively adjusts and updates the displayed safety warning text, operational risk information, responsible personnel information, and effective operation time periods, ensuring precise adaptation between the sign content and the operational scenario. Throughout the deployment process, the system automatically records the unique identifier of the operator, the specific operation time, the unique equipment number of each sign, and the precise deployment location information, creating an immutable and fully traceable electronic deployment ledger. This ensures accurate identification of responsibility during the safety measure deployment process.

[0030] Example 4

[0031] The status monitoring module is used to collect the location, attitude, display, and communication status of the smart sign in real time, and to link with the substation's five-prevention system to monitor the compliance of operations, identify abnormal operating conditions, and trigger alarms. Specifically, it includes the following steps: The system establishes a wireless communication link with each active smart sign in real time and continuously collects the sign's power supply status, GPS / RFID location status, screen display status, and attitude sensing data. The system integrates the five-prevention system of the substation, the equipment status monitoring system, and the on-site environmental monitoring system, and combines multi-source data to dynamically verify the compliance of the signage deployment. Based on attitude sensing data, position offset data, and on-site image recognition data, it can identify various abnormal working conditions in real time, such as sign offset, detachment, obstruction, mishanging, missing, and overdue hanging. Synchronously connect with the work progress ledger, and update the online operation status and effective warning status of all signs in real time according to the work progress status and remaining time, so as to achieve dynamic management and control of the entire work cycle; In this embodiment, the system maintains a continuous and stable wireless communication link with all active smart signs on site, continuously collecting real-time data on the power supply status, GPS and RFID fusion positioning status, screen display status, and real-time attitude data from the built-in attitude sensors of each smart sign, comprehensively understanding the real-time operating status of each sign. Simultaneously, the system integrates with the substation's five-prevention system, the station's equipment status monitoring system, and the on-site environmental monitoring system, fusing multi-dimensional heterogeneous monitoring data to dynamically cross-verify the compliance and safety of all current sign deployments, ensuring that safety measures are always in compliance with regulations. Based on real-time collected sign attitude offset data, spatial position offset data, and on-site auxiliary image recognition data, the system comprehensively and in real-time identifies various abnormal operating conditions on-site, such as sign position offset, equipment detachment, foreign object obstruction, incorrect hanging points, missing or overdue hanging, achieving early identification and early warning of abnormal problems. At the same time, the system connects to the work progress log in real time, and dynamically updates the online operation status and effective safety warning status of all smart signs according to the progress of on-site work and the remaining work time, so as to realize full-cycle, dynamic and refined safety management from the start to the end of the work.

[0032] Example 5

[0033] The closed-loop archiving module is used to generate a recycling list after the operation is completed, and to complete the verification of signage entry and asset updates. The specific steps for archiving the entire operation data process include the following: After the work is completed, the system receives a work order termination verification instruction from the back-end or smart terminal, and the system automatically terminates the effective warning period of the sign. Based on the original deployment plan for this operation, an accurate list of signage to be recycled and the optimal on-site recycling route are automatically generated and pushed to the on-site operation terminal. Workers removed and inventoried all signs according to the recycling route, and completed the warehousing verification by scanning the RFID tags on the signs with handheld terminals; The system automatically compares the deployment list with the recycling list, verifies the quantity and numbering completeness of the signs, and classifies and marks damaged or faulty signs. Simultaneously update the inventory ledger of signage, equipment failure and repair ledger, and operational safety measures implementation ledger, and fully archive the data of the entire process of deployment, monitoring, and recovery for this operation; In this embodiment, after receiving the work order termination verification instruction uploaded by the backend management terminal or the on-site smart terminal, the system automatically terminates the effective safety warning cycle of all supporting signs for this operation, ending the on-site safety protection function of the signs. The system retrieves the original standardized deployment plan generated in the early stage of this operation, automatically matches and generates a precise corresponding sign recycling list, and plans the shortest and most efficient on-site sign recycling path based on the substation's on-site equipment layout and point distribution. The recycling list and the optimal recycling path are simultaneously pushed to the on-site operation terminal to guide the operators to carry out the recycling operation in a standardized manner. On-site operators complete the removal and centralized counting of all smart signs point by point according to the recycling path planned by the system. They scan the RFID electronic tag of each recycled sign with a handheld smart terminal to complete the automated verification of the sign's entry into the warehouse. The system automatically compares the on-site recycling list data with the previously deployed list data one by one, accurately verifying the number of signs recycled and the completeness of the equipment numbers. Signs with damage, malfunction, or failure issues are automatically classified, marked, and anomaly recorded. After verification, the system synchronously updates the background signage inventory ledger, equipment fault repair ledger, and work safety measure execution ledger, and fully archives the entire process of this operation from invoice parsing, plan generation, on-site deployment, full-process monitoring to end-point collection and verification, forming a complete closed loop for substation signage safety management, and realizing that the entire process of work safety measures is traceable, verifiable, and verifiable.

[0034] Example 6

[0035] The iterative optimization module is used to optimize matching rules and deployment models based on historical operation data. Specifically, it includes the following steps: Regularly compile the signage layout plan, on-site monitoring data, abnormal alarm data, and problem rectification record log for each substation operation; The historical dataset is trained and learned through machine learning algorithms to iteratively optimize the intelligent matching rules for signs and the spatial layout model. For high-frequency abnormal scenarios, special working conditions, and complex cross-operation scenarios, we have specifically optimized the safety measure deployment strategy and abnormal judgment threshold. The optimized model and rules are synchronized and updated to the system database to continuously improve the accuracy and compliance of intelligent signage management; In this embodiment, the system automatically summarizes and organizes complete operational data from different work scenarios according to a preset cycle. This includes standardized signage deployment schemes for various routine, high-risk, and cross-operations, real-time on-site status monitoring data, alarm records for various abnormal operating conditions, rectification and handling logs for abnormal issues, and statistical data on signage wear, malfunctions, and losses. Invalid and abnormal data are removed to construct a clean and complete dedicated operational sample dataset. The system uses machine learning algorithms to perform deep training and feature mining on the constructed sample dataset, continuously summarizing the signage adaptation rules and anomaly occurrence patterns under different voltage levels, different equipment intervals, and different work types. It dynamically iterates and optimizes the system's built-in intelligent signage matching rules and equipment spatial deployment point calculation model, correcting the adaptation blind spots and judgment biases existing in traditional fixed rules. To address frequent anomalies such as sign misalignment, obstruction, and false alarms, as well as special operating conditions like complex cross-operations, extreme weather operations, and operations in areas with aging equipment, the system specifically optimizes corresponding safety measure deployment strategies. It dynamically fine-tunes anomaly judgment thresholds, sign placement safety distance parameters, and placement priority rules to fill management gaps in special operating scenarios. The system automatically updates the matching rules, algorithm models, and parameter thresholds from each iteration to the backend core database, replacing the original outdated rule models. This enables continuous autonomous upgrading of the system's management capabilities, effectively improving the accuracy and compliance of sign placement and the accuracy of anomaly detection in complex operating scenarios. This allows the overall intelligent management system to dynamically adapt to the safety management needs of various substation operating scenarios.

[0036] Reference Figure 2 As shown, a method for managing intelligent signage for substation safety measures is described. This method employs an intelligent signage management system for substation safety measures, as described above, to manage the intelligent signage, including: S100. Obtain the original data of work orders and operation tickets to be executed in the substation, perform text structure recognition and semantic parsing on the work orders and operation tickets, extract the work type, work equipment location, work risk level, safety measure items, work time period, and work authority personnel information, and establish a one-to-one association mapping model between work tasks and safety signs based on the substation equipment topology relation library. S200. A pre-stored standard safety sign library for substations is established. The standard safety sign library contains specifications, applicable scenarios, placement locations, and placement priority standards for various types of prohibition, warning, instruction, and reminder signs. Combined with the work task information obtained from step S1, the library automatically matches the set of target signs required for the current operation through preset safety matching rules. Combined with the spatial coordinates of substation equipment and the work safety distance specifications, a standardized placement plan is generated that specifies the placement locations, quantity, order, and duration of the signs. S300 receives terminal operation requests from operators, verifies the operator's qualifications through dual authorization verification of facial recognition and employee ID, and then pushes the deployment plan to the smart terminal and active smart signage. It controls the smart signage at the corresponding location to complete power-on activation and adaptive information display, while recording the deployment operator, deployment time, and equipment number to form a deployment traceability ledger. The S400 collects real-time data on the working status, location status, and display status of each smart sign. Combined with data from the substation's five-prevention system, equipment status monitoring, and environmental monitoring, it dynamically monitors the compliance of sign deployment. It also identifies abnormal conditions such as sign offset, detachment, obstruction, mishanging, missing, and overdue hanging in real time, and updates the sign's operating status in real time in conjunction with the work progress. After the S500 operation is completed, the system receives the work order termination instruction and automatically generates a sign recycling list and recycling path, which is then pushed to the operation terminal. After the operators complete the removal, counting, and warehousing verification of the signs, the system automatically updates the sign inventory status and the execution status of the operation safety measures, and simultaneously archives the entire process data of sign deployment, monitoring, and recycling for this operation, forming a complete safety control closed loop. S600 regularly summarizes the signage deployment plans, monitoring data, abnormal alarms and rectification logs of each substation operation, trains and optimizes the signage matching rules and deployment point models through machine learning algorithms, optimizes the deployment strategies and abnormal judgment thresholds for complex operation scenarios, iteratively updates the system database, and continuously improves the accuracy and compliance of intelligent signage management. To further illustrate the workflow of the above method, a power outage maintenance operation scenario of a 110kV substation is used as an example to explain the method. Step A1: The system collects electronic work orders and operation tickets for this equipment outage maintenance operation, and simultaneously retrieves the substation's 110kV equipment topology database, equipment ledger, and operator qualification database; using a power-specific semantic recognition model, it extracts the following information: operation type is outage maintenance, equipment is a 110kV outgoing line bay, risk level is high risk, operation time is 8:00-18:00, and two authorized operators are involved; invalid notes on the tickets are filtered out; spatial coordinate positioning and topology binding are performed on the outgoing line bay equipment to clarify the operation isolation range and high-voltage danger zone; a multi-dimensional association mapping model is constructed for this maintenance task, equipment, safety measures, personnel, and high-voltage warning signs.

[0037] Step A2: The system calls the standard sign library and prioritizes matching core signs such as "Do Not Close Switch, People Working," "Stop, High Voltage Danger," and "Do Not Climb, High Voltage Danger" for high-risk power outage maintenance operations through hierarchical matching rules. Combining the 110kV equipment safety distance specifications and equipment spatial coordinates, the precise placement points and quantity of each sign are determined. Based on the maintenance operation procedures, the priority placement of signs is determined at equipment switch locations and interval fences, and the hanging time is set to the entire working day, generating a standardized placement plan.

[0038] Step A3: The operator initiates a deployment request through a handheld terminal on site. The system first verifies the operator's identity and then completes real-name authentication through facial recognition. After the dual verification is passed, the deployment plan is pushed to the terminal and the corresponding active smart sign. The smart sign is powered on and initialized, and adaptively displays the maintenance operation information, risk level, responsible person, and operation time. The system automatically records the operator's ID, deployment time, sign number, and location information, and generates a traceability ledger.

[0039] Step A4: The system establishes real-time communication with each smart sign, collecting power supply status, RFID location, attitude, and display data; it coordinates with the substation's five-prevention system to confirm the compliance of the equipment's power outage status, and verifies the safety of the sign deployment based on on-site environmental data; it monitors the status of each sign in real time, and if any abnormalities such as sign offset or obstruction occur, it immediately triggers dual alarms on the backend and terminal, pushing abnormal locations and rectification suggestions; it also updates the effective warning status of the signs in real time according to the work progress.

[0040] Step A5: After the operation is completed at 18:00, the maintenance personnel confirm the work order is terminated, the system receives the termination instruction and terminates the warning cycle of the sign; the sign recycling list and the optimal recycling path are automatically generated according to the original deployment plan; the operators remove all signs according to the path, and complete the warehousing verification by scanning the RFID code. The system compares and verifies the number and numbering integrity of the signs. If there is no damaged equipment, the inventory is updated normally; the deployment, monitoring and recycling data of this operation are archived to form a closed loop of control.

[0041] Step A6: The system regularly summarizes the deployment data and abnormal data of this and similar power outage maintenance operations. Through machine learning, it optimizes the placement and matching rules of signs for 110kV bay maintenance operations, optimizes the abnormal judgment threshold for high-risk operations, and improves the accuracy of control over similar operations.

[0042] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. An intelligent signage management system for the arrangement of safety measures in substations, characterized in that, include: An intelligent management terminal is used to control data transmission and information interaction between various modules; The task parsing module is used to acquire and structure-parse work order and operation ticket data, extract core operation information, and construct an association mapping relationship between operation tasks and safety signs. The intelligent matching and deployment module is used to pre-store the standard sign library and safety matching rules, automatically generate a standardized sign deployment scheme, and issue deployment instructions. The access control module is used to verify the identity and qualifications of operators, control the placement of signs, revoke operating permissions, and record operation traceability information. The status monitoring module is used to collect the position, attitude, display and communication status of the smart sign in real time, link the substation's five-prevention system to monitor the compliance of operations, identify abnormal working conditions and trigger alarms. The closed-loop archiving module is used to generate a recycling list after the operation is completed, complete the verification of sign entry, asset update, and archive the entire process operation data; An iterative optimization module is used to optimize matching rules and deployment models based on historical operation data.

2. The intelligent signage management system for substation safety measures as described in claim 1, characterized in that, The task parsing module is used to acquire and structure-parse work order and operation ticket data, extract core operation information, and construct the association mapping relationship between operation tasks and safety signs. Specifically, it includes the following steps: Collect the original electronic data of work orders and operation tickets to be executed in the substation, and simultaneously retrieve the substation equipment topology database, equipment ledger database, and operator qualification and permission database. The trained power-specific semantic recognition model performs structured decomposition, keyword extraction, and semantic parsing of invoice text to accurately identify the type of work, the location of primary / secondary equipment corresponding to the work, the risk level of the work, the legal safety measures, the start and end time of the work, and the information of authorized personnel, while filtering out invalid remarks and redundant decorative text in the invoice. Spatial coordinate positioning of the work equipment locations obtained from the analysis is performed and bound to the power grid topology to clarify the work isolation range and the boundary of the hazardous area; Based on the parsed structured task data, a multi-dimensional correlation mapping model is established for task, equipment, safety measures, access rights and safety signs.

3. The intelligent signage management system for substation safety measures as described in claim 1, characterized in that, The intelligent matching and deployment module is used to pre-store the standard signage library and security matching rules, automatically generate a standardized signage deployment plan, and issue deployment instructions, which specifically include the following steps: The system calls upon a pre-built substation standard safety sign library, which categorizes and stores prohibition, warning, instruction, and prompt signs, and correspondingly stores the physical specifications, applicable operating scenarios, standard placement locations, placement priorities, and compatible voltage level parameters for each type of sign. Based on structured task data, the preset hierarchical safety matching rules are activated to automatically select a set of suitable target signs according to the task risk level, task type, and task area, avoiding the problems of missing, mismatched, or redundant sign configurations. By combining the spatial coordinate data of substation equipment, the corresponding safe operating distance specifications and operating isolation range of the power safety work regulations, the layout coordinates and number of each target sign are accurately determined; Based on the work process flow and safety control priorities, the system determines the order of sign hanging and the effective hanging time, and automatically generates a standardized sign hanging plan that can be directly placed on the ground.

4. The intelligent signage management system for substation safety measures as described in claim 1, characterized in that, The access control module is used to verify the identity and qualifications of operators, control the placement of signs, revoke operating permissions, and record operation traceability information. Specifically, it includes the following steps: The operator initiates a signage deployment request through the on-site smart terminal, and the system simultaneously triggers a dual-authority verification mechanism. The operation permissions of the operators are initially verified by their employee ID information, and the personnel identity is verified by facial recognition technology. Only after the double verification is passed can the operation permissions be unlocked. The generated standardized deployment plan is simultaneously pushed to the on-site operation intelligent terminal and the corresponding active intelligent signboard, and activation and display control commands are issued. The active intelligent signboard is controlled to complete power-on startup and parameter initialization, and the warning content and work information are updated adaptively according to the work task information. The system automatically records the operator ID, operation time, corresponding signage equipment number, and deployment location information for this deployment, generating an unalterable electronic ledger for deployment traceability.

5. The intelligent signage management system for substation safety measures as described in claim 1, characterized in that, The status monitoring module is used to collect the position, attitude, display, and communication status of the smart sign in real time, and to link with the substation's five-prevention system to monitor the compliance of operations, identify abnormal operating conditions, and trigger alarms. Specifically, it includes the following steps: The system establishes a wireless communication link with each active smart sign in real time and continuously collects the sign's power supply status, GPS / RFID location status, screen display status, and attitude sensing data. The system integrates the five-prevention system of the substation, the equipment status monitoring system, and the on-site environmental monitoring system, and combines multi-source data to dynamically verify the compliance of the signage deployment. Based on attitude sensing data, position offset data, and on-site image recognition data, it can identify various abnormal working conditions in real time, such as sign offset, detachment, obstruction, mishanging, missing, and overdue hanging. Synchronously connect with the work progress ledger, and update the online operation status and effective warning status of all signs in real time according to the work progress status and remaining time, so as to achieve dynamic management and control of the entire work cycle.

6. The intelligent signage management system for substation safety measures as described in claim 1, characterized in that, The closed-loop archiving module is used to generate a recycling list after the operation is completed, and to complete the verification of signage entry and asset updates. The archiving of the entire operation data includes the following steps: After the work is completed, the system receives a work order termination verification instruction from the backend or smart terminal, and the system automatically terminates the effective warning period of the sign. Based on the original deployment plan for this operation, an accurate list of signage to be recycled and the optimal on-site recycling route are automatically generated and pushed to the on-site operation terminal. Workers removed and inventoried all signs according to the recycling route, and completed the warehousing verification by scanning the RFID tags on the signs with handheld terminals; The system automatically compares the deployment list with the recycling list, verifies the quantity and numbering completeness of the signs, and classifies and marks damaged or faulty signs. The inventory ledgers for signs, equipment malfunction repairs, and operational safety measures are updated synchronously, and the data from the entire process of deployment, monitoring, and recovery for this operation are fully archived.

7. The intelligent signage management system for substation safety measures as described in claim 1, characterized in that, The iterative optimization module is used to optimize the matching rules and deployment model based on historical operation data, specifically including the following steps: Regularly compile the signage layout plan, on-site monitoring data, abnormal alarm data, and problem rectification record log for each substation operation; The historical dataset is trained and learned through machine learning algorithms to iteratively optimize the intelligent matching rules for signs and the spatial layout model. For high-frequency abnormal scenarios, special working conditions, and complex cross-operation scenarios, we have specifically optimized the safety measure deployment strategy and abnormal judgment threshold. The optimized model and rules are synchronized and updated to the system database to continuously improve the accuracy and compliance of intelligent signage management.

8. The intelligent signage management system for substation safety measures as described in claim 1, characterized in that, The active intelligent sign has a built-in RFID positioning chip, attitude sensor, wireless communication module, high-brightness display module and sound and light alarm module, which can realize real-time location positioning, autonomous status monitoring, adaptive information updating and active reporting of anomalies.

9. An intelligent signage device for the arrangement of safety measures in a substation, characterized in that, The intelligent signage device for substation safety measures includes an intelligent signage management system for substation safety measures as described in claims 1-8.

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