An intelligent maintenance method and system for a power transformation and distribution room and a storage medium

Abstract

A method, system, and storage medium for intelligent maintenance of substations, relating to the field of monitoring and protection, is disclosed. The method includes: collecting identity information of a target object outside the substation access control system to obtain first identity information data; the first identity information data includes first facial feature data; opening the access control system after confirming a match with the facial feature data of a recorded person; collecting identity information of the target object and confirming that the detected second identity information data matches the first identity information data; retrieving multiple monitoring information from multiple preset maintenance points within the time period of the second door opening request instruction; determining whether the multiple monitoring information contain an image of the target object containing the first clothing / hat feature; and providing an information prompt indicating that the target object has been overlooked during maintenance. Implementing this method can detect whether maintenance work has been overlooked by personnel, improving the maintenance quality and operational safety of the substation.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of monitoring protection, and in particular to an intelligent maintenance method and system for a power transformation and distribution room and a storage medium. BACKGROUND

[0002] A power transformation and distribution room is a key place where high-voltage power generated by a power plant or a substation is reduced in voltage by a transformer and then enters a user end. The power transformation and distribution room undertakes the functions of voltage conversion and power distribution in a power system, and its stable and reliable operation is directly related to the power safety of downstream users. Therefore, regular inspection and maintenance of the power transformation and distribution room are particularly important.

[0003] The staff needs to check each key equipment in the power transformation and distribution room, such as a switch cabinet, a transformer, and a cable joint, according to a specified inspection route, and check whether there are problems such as load overheating, flocculation, and dirt accumulation. Regular inspection of fixed positions and corresponding items is generally performed, and if a problem is found, an inspection record needs to be filled out and timely reported so as to arrange for maintenance.

[0004] In related technologies, maintenance and maintenance records of the power transformation and distribution room mainly rely on access control and monitoring equipment of the power transformation and distribution room, and the working time of the staff is recorded through access time points, and the working implementation of the staff is recorded through the monitoring equipment in the power transformation and distribution room.

[0005] However, the maintenance method in related technologies has certain limitations, and it can only be used for work records, and often cannot timely detect whether there are omissions or losses in the maintenance work of the staff. These omissions or losses have certain hidden dangers, and may cause accidents. SUMMARY

[0006] The present application provides an intelligent maintenance method and system for a power transformation and distribution room and a storage medium, which can detect whether there are omissions in the maintenance work of the staff by identifying and matching the identity information when the staff enters and leaves, and combining the monitoring information in the working time, thereby avoiding the maintenance omissions hidden dangers caused by human factors, and improving the maintenance quality and operation safety of the power transformation and distribution room.

[0007] In a first aspect, the application provides an intelligent maintenance method for a power transformation and distribution room, applied to an intelligent maintenance system. The method comprises: in response to a first door opening request instruction for personnel entering, collecting identity information of a target object outside a door access of the power transformation and distribution room to obtain first identity information data; the first identity information data comprises first facial feature data and first hat and coat feature data; after determining that the first facial feature data matches facial feature data of a recorded personnel in an identity database, opening the door access; in response to a second door opening request instruction for personnel leaving, collecting identity information of the target object inside the door access of the power transformation and distribution room, and confirming whether second identity information data detected is consistent with the first identity information data; if so, calling multiple monitoring information of multiple preset maintenance points in a time period from the first door opening request instruction to the second door opening request instruction; based on image recognition technology, determining whether there is a shadow image containing the first hat and coat feature of the target object in the multiple monitoring information; if there is no shadow image in one or more monitoring information, information prompting is performed to prompt that the target object has missed maintenance.

[0008] In the above embodiment, the intelligent maintenance system realizes identity recognition and confirmation of maintenance personnel by collecting and matching identity information of personnel entering and leaving the power transformation and distribution room. In combination with monitoring information for judging missed maintenance, the actual working conditions of the maintenance personnel are compared to check whether there is a missed risk point in the actual work of the personnel. By using the technical scheme, the maintenance work quality of the staff can be automatically detected, and it is determined whether there is a missed work, so as to avoid errors caused by manual inspection and improve the accuracy of inspection. Compared with the related art in which the monitoring information of each maintenance point needs to be manually checked to determine whether there is a missed point, the technical scheme can automatically complete the judgment, improve the efficiency, reduce the cost, and is conducive to ensuring the maintenance quality of the power transformation and distribution room.

[0009] In combination with some embodiments of the first aspect, in some embodiments, after determining that the first facial feature data matches the facial feature data of the recorded personnel in the identity database, the door access is opened, specifically comprising: determining whether the first facial feature data matches the facial feature data of the recorded personnel in the identity database; if so, it is further determined whether the first hat and coat feature data meets a preset normal working dress requirement; the normal working dress requirement comprises safety hat wearing and protective glove wearing; if so, the door access is opened.

[0010] In the above embodiment, the intelligent maintenance system further judges whether the work dress requirements are met on the basis of judging that the maintenance personnel identity information matches, so that the judgment of whether the maintenance personnel are normally dressed is realized. Through the inspection of the work clothes, it can be ensured that the maintenance personnel wear labor protection articles according to the regulations, so as to achieve the purpose of safe production. Combined with the use of the access control system, the judgment can be automatically completed, avoiding the omissions caused by relying on manual inspection, ensuring that each person entering the site for work meets the prescribed dress requirements, and improving the safe operation and maintenance level of the power transformation and distribution room. Compared with the traditional inspection method mainly relying on manual judgment, the technical means can continuously and effectively monitor, reduce the management cost, and also ensure the standardization.

[0011] In combination with some embodiments of the first aspect, in some embodiments, the plurality of monitoring information of the plurality of preset maintenance points in the time period from the first door opening request instruction to the second door opening request instruction specifically includes: determining the time period from the first door opening request instruction to the second door opening request instruction to obtain the working time; the working time includes the working start time, the working end time, and the working time length; displaying the working time to the target object; and in response to a working end confirmation operation of the user, determining the plurality of monitoring information of the plurality of preset maintenance points in the working time.

[0012] In the above embodiment, the intelligent maintenance system can accurately obtain the monitoring information in the working time period by accurately determining the working start and end time of the maintenance personnel and combining the preset maintenance point information, thereby providing reliable basic information for subsequent judgment of whether there is a maintenance omission. Compared with simply relying on the access time to infer the working time, the technical means can more accurately determine the actual working time period, avoiding the inaccuracy caused by inference. At the same time, the maintenance personnel need to confirm the working end, complete the information loop, ensure the accurate correspondence between the monitoring information and the maintenance work content, provide a strong guarantee for subsequent judgment of the omission point, and improve the accuracy of the judgment.

[0013] In combination with some embodiments of the first aspect, in some embodiments, after determining that the first face feature data matches the face feature data of the personnel recorded in the identity database, the method further includes: performing voice and image prompting to prompt the target object about the work content; after the target object enters the power transformation and distribution room, recording the travel and capturing the action of the target object to obtain real-time travel information and real-time action information; when the real-time travel information enters a preset permission prohibited area, sending first warning information to the monitoring end; the permission prohibited area is determined according to the first identity information data; and when the real-time action information is a preset illegal action, sending second warning information to the monitoring end.

[0014] In the above embodiments, the intelligent maintenance system monitors the movements and actions of maintenance personnel, enabling real-time monitoring of their work status and safety. When personnel are detected entering prohibited areas or engaging in unauthorized operations, an alarm is automatically triggered, preventing safety hazards caused by violations. Compared to traditional methods relying on on-site supervision to prevent violations, this solution provides round-the-clock, comprehensive monitoring, significantly improving surveillance capabilities. Furthermore, the solution possesses intelligent analysis and early warning capabilities, allowing for immediate response to anomalies and ensuring the safe operation of the substation. This intelligent and refined monitoring and management effectively prevents personal injury accidents and provides strong support for ensuring the safe operation and maintenance of substations.

[0015] In conjunction with some embodiments of the first aspect, in some embodiments, after the steps of recording the travel and capturing motion to obtain real-time travel information and real-time motion information, the method further includes: confirming the safety level of the target object based on the real-time travel information and real-time motion information; determining the dangerous state of the target object when the safety level is lower than a preset threshold; the dangerous state includes electric shock and sudden illness; and sending emergency distress information including on-site images and the dangerous state to the monitoring terminal.

[0016] In the above embodiments, the intelligent maintenance system can intelligently analyze personnel behavior and travel patterns to determine the safety status of staff in real time and automatically issue emergency rescue information when danger occurs. This intelligent analysis, judgment, and alarm technology can greatly improve the response speed to emergencies and minimize the damage caused by accidents. Simultaneously, this technical solution also incorporates image information, allowing the monitoring end to more intuitively assess the on-site situation and thus take more reasonable and effective emergency rescue measures. Compared to traditional methods relying on on-site personnel for monitoring and calls, this technology achieves unattended intelligent monitoring and accident early warning capabilities, significantly reducing accident losses.

[0017] In conjunction with some embodiments of the first aspect, in some embodiments, after providing voice and image prompts to indicate the work content to the target object, the method further includes: real-time monitoring of the operating parameters of each working device in the substation; the operating parameters include temperature, current, and voltage; and displaying abnormal information to the target object when the operating parameters do not meet preset normal thresholds.

[0018] In the above embodiments, the intelligent maintenance system monitors equipment operating parameters in real time and automatically alerts maintenance personnel when anomalies occur, avoiding potential accident risks caused by parameter abnormalities. Compared to traditional manual periodic inspections, this technical solution achieves continuous monitoring of equipment status, enabling the timely detection of potential hazards. Simultaneously, the system can proactively issue alerts to prevent parameter anomalies from being missed and causing accidents. Compared to relying on subsequent data analysis to determine the presence of anomalies, this real-time monitoring and alerting technology offers greater timeliness. It helps maintenance personnel identify problems immediately and respond quickly, eliminating potential hazards in their early stages and ensuring the safe and stable operation of substation equipment.

[0019] In conjunction with some embodiments of the first aspect, in some embodiments, after determining that the first facial feature data matches the facial feature data of a person recorded in the identity database, and after the step of opening the access control, the method further includes: real-time monitoring of the objects entering the substation at the access control point; when a preset potential hazard object appears among the objects entering, sending a third warning message to the monitoring terminal; the potential hazard objects include cats, dogs, and rats.

[0020] In the above embodiments, the intelligent maintenance system can automatically identify preset potential hazards and issue alarms by monitoring objects entering the access control system in real time, thus eliminating potential line damage hazards in advance. This intelligent identification technology can automatically detect hazards without relying on manual judgment, avoiding detection omissions, and real-time monitoring also ensures timely identification. Compared with periodic manual inspections, this technical solution achieves continuous monitoring, greatly improving the ability to identify potential hazards. After a hazard is detected, the system automatically issues an alarm without manual operation, which can shorten the time from identification to handling, minimize the risk of hazards, and effectively ensure the safe operation of the substation.

[0021] Secondly, this application provides an intelligent maintenance system, which includes: an entry acquisition module, used to collect identity information of a target object outside the substation access control in response to a first door opening request command for personnel entering, and obtain first identity information data; the first identity information data includes first facial feature data and first clothing and hat feature data; a matching processing module, used to open the access control after determining that the first facial feature data matches the facial feature data of a person recorded in the identity database; an exit acquisition module, used to collect identity information of a target object inside the substation access control in response to a second door opening request command for personnel leaving, and confirm whether its identity information data matches the first identity information data; a data retrieval module, used to retrieve multiple monitoring information of multiple preset maintenance points within the time period from the first door opening request command to the second door opening request command when they match; a monitoring confirmation module, used to determine, based on image recognition technology, whether there is a silhouette image of the target object containing the first clothing and hat feature in all of the multiple monitoring information; and an information prompting module, used to provide an information prompt when there is no silhouette image in one or more monitoring information, prompting that the target object has been missed during maintenance.

[0022] Thirdly, embodiments of this application provide an intelligent maintenance system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, which includes computer instructions, and the one or more processors call the computer instructions to cause the intelligent maintenance system to perform the method described in the first aspect and any possible implementation thereof.

[0023] Fourthly, embodiments of this application provide a computer program product containing instructions that, when the computer program product is run on an intelligent maintenance system, cause the intelligent maintenance system to perform the method described in the first aspect and any possible implementation thereof.

[0024] Fifthly, embodiments of this application provide a computer-readable storage medium including instructions that, when executed on an intelligent maintenance system, cause the intelligent maintenance system to perform the method described in the first aspect and any possible implementation thereof.

[0025] Understandably, the intelligent maintenance systems provided in the second and third aspects, the computer program product provided in the fourth aspect, and the computer storage medium provided in the fifth aspect are all used to execute the methods provided in the embodiments of this application. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0026] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0027] 1. By adopting an automated leak detection technology solution that combines personnel identification and monitoring information from the access control system, intelligent supervision of the entire work process of maintenance personnel is achieved. This solves the problem of the lack of real-time monitoring and quality judgment in maintenance work, thereby realizing process monitoring and quality improvement of substation maintenance work. This technology breaks through the traditional passive maintenance management model that relies on manual judgment after the fact, and realizes preventive and proactive maintenance quality monitoring. It is of great significance for avoiding potential human oversights in maintenance and ensuring the safe and stable operation of substation equipment.

[0028] 2. By adopting a safety monitoring and intelligent early warning technology solution based on travel trajectory and motion analysis for maintenance personnel, real-time status monitoring and safety warnings for on-site staff are achieved. This solves the problem of related technologies being unable to respond quickly to emergencies, thus realizing intelligent, unmanned substation safety management. This technology enables status monitoring of personnel throughout their work process, significantly improving the response speed to various emergencies, especially potential safety hazards, and truly making substation safety management "prevention first," playing a vital role in maintaining the safe and stable operation of substations.

[0029] 3. By adopting intelligent monitoring and anomaly alert technology for equipment operating parameters, real-time monitoring and early warning of critical equipment operating status are achieved. This solves the problem of delayed response caused by relying on periodic manual inspections in related technologies, thereby enabling intelligent identification and immediate handling of equipment safety hazards. This technology eliminates reliance on manual judgment and can continuously and automatically monitor equipment status, greatly shortening the time from anomaly identification to handling. It transforms equipment fault prevention in substations from passive to proactive, which is of great significance for ensuring the safe and stable operation of substation equipment. Attached Figure Description

[0030] Figure 1 This is a flowchart illustrating an intelligent maintenance method for a substation in this application embodiment;

[0031] Figure 2 This is another flowchart illustrating the intelligent maintenance method for substations in this application embodiment;

[0032] Figure 3 This is a schematic diagram of a functional module structure of the intelligent maintenance system in an embodiment of this application;

[0033] Figure 4 This is a schematic diagram of the physical device structure of an intelligent maintenance system in the embodiments of this application. Detailed Implementation

[0034] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to any or all possible combinations including one or more of the listed items.

[0035] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0036] It should be noted that the intelligent maintenance system involved in this invention refers to a collection of multiple devices and apparatuses, including a computer device as the core processor, a monitoring device consisting of multiple sets of cameras and sensors distributed in multiple locations in the substation, and display devices such as screens.

[0037] To facilitate understanding, the application scenarios of the embodiments of this application are described below.

[0038] Substation A, owned by a provincial power company, supplies power to surrounding residential areas and industrial parks through its 220 kV distribution room. The distribution room houses dozens of critical pieces of equipment, such as switchgear and transformers, requiring technicians to maintain and inspect these devices daily for any signs of malfunction.

[0039] However, relying solely on visual inspections by on-duty personnel is insufficient to comprehensively cover all equipment. In July 20xx, during a routine inspection, on-duty personnel overlooked a transformer, resulting in the failure to detect a malfunction in its heat transfer device. This ultimately led to transformer damage and a six-hour power outage downstream. This highlights the inherent blind spots in manual inspections and underscores the urgent need for an intelligent maintenance method.

[0040] In related technologies, equipment inspection in substations can be carried out through manual inspections and video surveillance. However, this method has problems such as limited regulatory coverage and inability to assess work quality.

[0041] The following describes a scenario where intelligent maintenance methods for substations are used in conjunction with relevant technologies.

[0042] To address the aforementioned issues, Substation A implemented video surveillance and access control systems for attendance. Staff swipe access cards to enter and exit the substation, and their working hours are recorded. Reviewing the surveillance video allows for confirmation of staff activities. However, this monitoring method remains passive and cannot determine whether staff have completed all equipment checks.

[0043] In September 20xx, Li, the on-duty personnel in the power distribution room, missed a cable joint during an inspection. Although the surveillance video showed Li entering and leaving the power distribution room and moving around inside, it failed to determine whether the inspection was completed or if any items were missed. Ultimately, this led to a loose cable connection and a power distribution accident.

[0044] By employing the intelligent personnel identification and image monitoring technology of this application, the entire maintenance process can be monitored by matching the identity information of the staff and determining whether they are present at each monitoring point. This not only enables equipment maintenance but also helps determine whether any omissions have been made in the work quality assessment.

[0045] The following describes a scenario where the intelligent maintenance method for substations in this application is used.

[0046] To address the aforementioned issues, Substation A installed an intelligent maintenance system in its 220 kV substation. This system first reads the facial images and clothing information of the inspection personnel. After completing the inspection, the system automatically analyzes the video footage from all surveillance cameras in the substation, using facial recognition and clothing matching technology to determine whether the employee was present at each designated inspection point.

[0047] If a video shows that a specific employee is missing from an inspection point, the employee will be immediately notified, indicating a potential oversight and ensuring that all equipment is checked. This intelligent maintenance method eliminates the omissions that can occur with traditional manual inspections, significantly improving the accuracy of inspections and the operational reliability of the substation.

[0048] It is evident that by adopting the intelligent monitoring technology solution in this application, while realizing equipment maintenance, it can also effectively solve the problem of inability to judge the quality of work, thereby realizing intelligent monitoring of substation maintenance work.

[0049] To facilitate understanding, the method provided in this implementation will be described in detail below, using the above scenario as an example. Please refer to [link / reference]. Figure 1 This is a flowchart illustrating an intelligent maintenance method for a substation in this application.

[0050] S101. In response to the first door opening request command for personnel entry, collect the identity information of the target object outside the access control of the substation and obtain the first identity information data.

[0051] It should be noted that the first door opening request instruction refers to an electrical signal instruction indicating a need to open the access control after the system detects that a person outside the substation door has swiped their card, pressed the door opening button, made a voice request, or stood in the facial recognition terminal recognition area. The target object refers to the person who issued the instruction, specifically the personnel who need to enter the substation for maintenance. There can be one or more personnel. For ease of understanding, the term "personnel" will be used to refer to them in the following text.

[0052] When the intelligent maintenance system receives the first door opening request command for personnel entering the substation, it will collect the identity information of the personnel entering from outside the substation access control, obtaining initial identity information data. Specifically, the system will activate the camera to capture the person's face and extract feature point data from the facial image to generate initial facial feature data. At the same time, the system will analyze the entire body image and extract feature data such as clothing color, style, and logos to form initial clothing feature data.

[0053] By collecting these two key identity features, the system can ensure that it knows the identity information of personnel who are about to enter the substation. For example, collecting Zhang San's facial image and the characteristics of his yellow safety helmet lays the foundation for subsequent staff identification and monitoring.

[0054] S102. After confirming that the first facial feature data matches the facial feature data of the person already recorded in the identity database, open the access control.

[0055] After collecting the initial identity information, the intelligent maintenance system identifies the staff member. It compares the collected facial feature data with the facial feature data of registered personnel in the system database, calculating the similarity between feature points. If the similarity exceeds a set threshold, the system confirms that the person entering matches a known identity. For example, if the collected facial features of Zhang San match the features of Zhang San in the database, the person can be identified as Zhang San. If the detection passes, the system sends an opening command to execute the door opening operation, thus granting access to the staff member.

[0056] S103. In response to the second door opening request command for personnel leaving, collect the identity information of the target object inside the substation access control room and confirm whether the detected second identity information data matches the first identity information data.

[0057] It should be noted that the second door opening request instruction is different from the first door opening request instruction. It refers to the electrical instruction that personnel send to the system's access control system to leave after completing maintenance inside the substation door, via buttons, voice, images, etc.

[0058] When work is completed and personnel issue a second door-opening request to leave the substation, the intelligent maintenance system will again collect information from the personnel inside the access control system. Similar to the entry process, it will collect a second facial image and clothing data of the personnel. The system will then compare this second identity information data with the first identity information data collected during the initial entry. If key features of the two sets of data, such as face and hat color, match, it can be determined that they are the same person, and the comparison passes. Otherwise, the system will not respond, or will refuse to open the door and issue an unauthorized intrusion alarm.

[0059] If the information matches, it indicates that the staff member is ready to leave normally, and the system will open the door to allow them to enter. This completes one closed-loop process of access control and identity information collection and confirmation.

[0060] S104. Retrieve multiple monitoring information from multiple preset maintenance points within the time period from the first door opening request instruction to the second door opening request instruction.

[0061] After staff verification, the intelligent maintenance system will obtain monitoring videos of each preset maintenance point during the staff's working hours. Specifically, the intelligent maintenance system will calculate the start and end times of the work based on the timestamps of the first and second door opening request commands, thus determining the working time period. For example, if a staff member swipes their card to enter at 9:00 AM and swipes their card to leave at 5:00 PM, the working time period is 9:00 AM to 5:00 PM.

[0062] Then, the intelligent maintenance system will retrieve video footage and image data collected by cameras at each maintenance point within that time period, based on the stored maintenance point information. For example, if there are 4 maintenance points in the power distribution room, with 2 cameras at each point, the system will retrieve 8 monitoring video clips and corresponding image information to provide basic data support for subsequent missed detection.

[0063] S105. Based on image recognition technology, determine whether multiple monitoring information contain images of the target object with the first clothing and hat features.

[0064] After acquiring monitoring information from various maintenance points during the working hours, the intelligent maintenance system uses image recognition technology to determine whether the target object appears in the monitored content. Specifically, the system uses facial recognition and retrieval algorithms to compare the presence of the specified worker across different monitoring video feeds.

[0065] Simultaneously, the intelligent maintenance system also uses clothing color feature extraction algorithms to detect whether the video or image contains image information matching the hat or clothing color of the worker during the initial data collection. If the target personnel are not found in the monitoring of a certain maintenance point, it can be preliminarily determined that the worker did not arrive at that location for inspection, indicating a possible omission. When the number of missed points reaches a preset threshold, it is considered a major work oversight.

[0066] S106. Provide information prompts to indicate that the target object has been missed during maintenance.

[0067] After comparing and analyzing the image content, if the intelligent maintenance system determines that any maintenance points have been missed, it will use voice or text to prompt the worker which maintenance points were missed during the current work and require them to return to the site for supplementary inspection. Simultaneously, the system will also report back to the monitoring terminal, notifying management that any abnormalities have occurred during the work process and require correction or handling.

[0068] If the monitoring information confirms that staff have appeared at all maintenance points, it means the inspection was successful, the process is complete, and the access control can be opened normally.

[0069] This step can prompt staff to correct any omissions in a timely manner, ensure a comprehensive inspection of the equipment, and improve the quality of work.

[0070] In the above embodiment, intelligent technologies such as personnel identification, video surveillance, and image analysis are used to achieve full-process monitoring and management of substation maintenance work. Compared with traditional manual supervision, this solution achieves refined, automated, and intelligent supervision of maintenance work. It can not only accurately judge the quality of work and realize real-time monitoring and early warning of equipment operation, but also reduce labor costs and improve economic efficiency.

[0071] In practical applications, different equipment inspection points, safety zones, monitoring parameters, etc. can be set according to actual needs to achieve personalized customization of intelligent supervision.

[0072] The following provides supplementary information regarding the scenario in this embodiment.

[0073] Li, a qualified high-voltage operator, was granted permission to enter the high-voltage area of ​​the substation. One day, Li entered the high-voltage area to perform equipment maintenance. While inspecting the high-voltage switchgear, he violated operating procedures and was accidentally electrocuted, rendering him unable to move.

[0074] The intelligent maintenance system in the substation detected an abnormal electric shock action in Li by monitoring and analyzing his behavior. The system immediately cut off power to the corresponding line and sent on-site images and an "electric shock" warning to the monitoring station. Monitoring personnel saw Li lying motionless on the ground on the monitor screen and quickly determined from the "electric shock" warning that Li had suffered an electric shock accident. They immediately dispatched on-site emergency personnel to provide assistance.

[0075] Through the intelligent analysis and emergency alarms of the intelligent maintenance system, monitoring personnel can obtain information about the accident scene at the first moment and make a rapid emergency response, minimizing accident losses and avoiding more serious consequences, demonstrating the intelligent decision-making capabilities of the system.

[0076] In light of the above scenarios, the method provided in this implementation will now be described in more detail. Please refer to [link / reference]. Figure 2 This is another flowchart illustrating the intelligent maintenance method for substations in this application.

[0077] S201. In response to the first door opening request command for personnel entry, collect the identity information of the target object outside the access control of the substation and obtain the first identity information data.

[0078] Referring to step S101, when the intelligent maintenance system receives the first door opening request instruction for personnel to enter the substation, it will collect the identity information of the personnel entering outside the substation access control and obtain the first identity information data.

[0079] S202. After confirming that the first facial feature data matches the facial feature data of the person already recorded in the identity database, open the access control system.

[0080] Referring to step S102, after the data collection of the first identity information is completed, if the detection is passed, the system will send an opening command to perform the opening operation and complete the staff access.

[0081] In some embodiments, before opening the access control system, the intelligent maintenance system determines whether the first facial feature data matches the facial feature data of the person already recorded in the identity database; if they match, it further determines whether the first clothing feature data meets the preset normal work attire requirements; the normal work attire requirements include wearing a safety helmet and protective gloves; if they are met, the access control system is opened.

[0082] Specifically, when maintenance personnel need to open a door, the system first uses facial recognition technology to compare the detected facial feature data with facial data stored in the database, calculating the similarity. If the similarity exceeds a set threshold, the personnel's identity is confirmed. Next, the system will also check whether the personnel are correctly wearing work clothing such as safety helmets and gloves.

[0083] Only when the system determines that the person's identity is legitimate and their attire complies with regulations will it send an opening command to the access control system, allowing them to enter the on-site work area. If any check fails, a prompt message will be displayed at the access control point, indicating that the person is not a staff member or that their attire does not meet the standards.

[0084] In some embodiments, during the access control process, the intelligent maintenance system will also monitor the objects entering the substation at the access control point in real time; when a preset potential hazard object appears among the objects entering, a third warning message will be sent to the monitoring terminal; potential hazard objects include cats, dogs, and rats.

[0085] Specifically, when staff enter the substation, the system continuously monitors the access control entrance, using image recognition and infrared detection technologies to detect the situation. If a pre-defined potential hazard, such as a small, hard-to-detect animal like a cat, dog, or rat, is detected at the entrance and deemed likely to damage electrical equipment, the system immediately sends an intrusion alarm to the monitoring room. Upon receiving the alarm, monitoring personnel can take measures such as expelling or clearing the intruder to prevent it from entering the substation and causing a safety accident.

[0086] S203. Provide voice and image prompts to indicate the work content to the target object.

[0087] After staff members verify their identity and enter the substation, the intelligent maintenance system will prompt them with the work tasks. The system will remind staff members of the required maintenance work and standard procedures through voice announcements and monitoring screen displays.

[0088] For example, a voice prompt might say, "Mr. Zhang, you are responsible for inspecting transformer #1 and switchgear #2. The process includes visual inspection, temperature measurement, and tightening of connections," while the monitoring screen displays the corresponding text and equipment icons, clearly indicating the worker's task. This avoids oversights caused by memory errors or reliance on experience. It also standardizes maintenance procedures and improves work efficiency.

[0089] In some embodiments, the intelligent maintenance system monitors the operating parameters of each working device in the substation in real time; the operating parameters include temperature, current, and voltage; when the operating parameters do not meet the preset normal threshold, abnormal information is displayed to the target object.

[0090] Specifically, the intelligent maintenance system will install corresponding sensors in the substation to continuously monitor parameters such as temperature, current, and voltage of key equipment. If the collected real-time operating data exceeds the preset range of normal thresholds, an alarm will be triggered immediately, and a prompt message will be sent to maintenance personnel through the on-site display screen, informing them of the abnormal equipment and parameters, prompting them to promptly inspect and handle the situation.

[0091] The prompts include, but are not limited to, fault parameters, fault location, and the skills and tools required for handling. They can be broadcast through indoor screens and speakers, or sent directly to the mobile phones of the relevant staff members via SMS or a specific APP.

[0092] In some embodiments, the intelligent maintenance system establishes data monitoring in the power distribution room. This involves installing corresponding data monitoring equipment within the power distribution room to monitor the operating parameters of key equipment and environmental conditions. For example, temperature sensors and current / voltage detection devices are installed on transformers to monitor their load parameters in real time; smoke detectors and thermometers / hygrometers are installed in the power distribution room to monitor environmental conditions; and access control is installed at the entrance of the power distribution room to record personnel entry and exit. All monitoring data is collected into the system database, providing a basis for subsequent equipment status assessment and environmental safety early warning. This comprehensive data monitoring enables the mastery of all key data within the power distribution room, allowing for the identification of signs of equipment failure and the detection of risks arising from environmental changes, thereby improving the level of information technology in operation and maintenance.

[0093] S204. After the target object enters the substation, its travel is recorded and its motion is captured to obtain real-time travel information and real-time motion information.

[0094] Once staff enter the maintenance work area, the intelligent maintenance system uses cameras, sensors, and other devices to capture their behavioral trajectories and movements, generating real-time travel records and motion capture information. For example, it can analyze whether staff linger in front of designated equipment and the duration of their stay to determine if their work process is complete. It can also use body language recognition algorithms to analyze whether actions conform to standard operating procedures.

[0095] In some embodiments, the intelligent maintenance system will also detect the staff's changing actions, such as when the staff takes off their coat or hat after sweating from work; furthermore, the intelligent maintenance system will detect the staff's real-time clothing and hat information and update the staff's identity information data after changing clothes to avoid errors in subsequent identity verification.

[0096] S205. When real-time travel information enters a preset restricted area, send the first warning message to the monitoring terminal.

[0097] After acquiring real-time travel information, the intelligent maintenance system compares the target's identity information to determine if their travel involves entering preset restricted areas. If an anomaly is detected, such as a regular technician entering a high-voltage area, the system immediately sends an area intrusion alarm to the monitoring terminal. Area permissions are set based on identity information; for example, technicians of different levels can only enter areas within their corresponding authorized scope. This prevents novice staff from accidentally entering dangerous areas such as high-voltage zones, effectively avoiding safety accidents.

[0098] S206. When the real-time action information is a preset violation action, send a second warning message to the monitoring terminal.

[0099] The intelligent maintenance system utilizes body posture recognition algorithms to analyze real-time captured motion information and determine whether preset violations have occurred, such as production braking or violations of equipment operation specifications. Once a violation is detected, the system automatically sends an alarm message to the monitoring terminal, reporting the abnormal action to the monitoring system so that monitoring personnel can promptly identify the violation and the responsible personnel. This intelligent analysis can identify safety hazards caused by personnel violations and prevent accidents.

[0100] In some embodiments, the intelligent maintenance system establishes a motion capture analysis behavior database to analyze violations. Specifically, the database includes various standard action samples and violation action samples. When intelligently analyzing the real-time actions of staff, the system compares the actions with the behavior database using algorithms to calculate the similarity. If the similarity to a violation sample exceeds a set threshold, it is identified as a violation and a warning is issued. This database-based comparison and identification model avoids the false positives and false negatives caused by simple rule-based judgments, making violation identification more accurate. Simultaneously, the database can continuously accumulate new samples, enabling self-learning and optimization of action recognition, thereby improving the system's intelligence level.

[0101] S207. Based on real-time travel information and real-time action information, confirm the safety level of the target object.

[0102] After continuously capturing the travel and movement information of the target object, the intelligent maintenance system will initiate intelligent analysis to determine the current safety level of the target object based on information such as behavioral trajectory and movement parameters. The safety level can be expressed in the form of a score and divided accordingly, such as safe (80-100 points), average (60-79 points), dangerous (40-59 points), high-risk (10-39 points), and extremely dangerous (below 10 points); the safety level can also be directly divided into safe, average, dangerous, or high, medium, and low.

[0103] During the safety level rating process, if frequent violations or excessive entries into prohibited areas are detected, the individual is deemed to have a high level of safety risk, and their safety level is lowered. If the actions and movements are within normal limits, the high safety level is maintained. For example, in a typical, non-dangerous area, a worker's safety level is "high," while in an electrified area, the worker's safety level is lowered to "medium." This intelligent grading based on individual behavior allows for dynamic monitoring of a person's real-time safety status.

[0104] S208. When the safety level is lower than the preset threshold, determine the dangerous state of the target object.

[0105] When the intelligent maintenance system detects that the safety level of a target object is below a preset threshold, it will assess the situation. The system will integrate real-time behavioral information to intelligently analyze the possible causes of the problem. If it detects an electric shock, it will confirm that the object is in a state of electric shock; if it detects the object lying motionless in a non-electrified area, it will determine that it may be experiencing a sudden illness. Different dangerous states will be intelligently matched and judged based on corresponding signs.

[0106] S209. Send emergency distress information, including on-site images and dangerous conditions, to the monitoring terminal.

[0107] Once the current hazardous state of the target object is clearly identified, the intelligent maintenance system immediately sends an emergency alarm to the monitoring terminal. This alarm includes real-time monitoring images of the target object's location, as well as warnings of the hazardous state determined by the system, such as "electric shock," "sudden illness," or "falling down." This allows monitoring personnel to quickly confirm the situation on-site and take appropriate emergency rescue measures based on the corresponding hazardous state warnings, greatly improving the emergency response capability to sudden events.

[0108] S210, in response to the second door opening request command for personnel leaving, collect the identity information of the target object inside the substation access control room, and confirm whether the detected second identity information data matches the first identity information data.

[0109] Referring to step S103, the intelligent maintenance system will collect information on the personnel inside the access control system again and compare the second identity information data collected this time with the first identity information data collected when entering for the first time.

[0110] S211. Retrieve multiple monitoring information from multiple preset maintenance points within the time period from the first door opening request instruction to the second door opening request instruction.

[0111] Referring to step S104, after the staff member's identity is verified, the intelligent maintenance system will obtain the monitoring video of each preset maintenance point during the staff member's working time.

[0112] In some embodiments, the intelligent maintenance system determines the time period from the first door opening request instruction to the second door opening request instruction to obtain the working time; the working time includes the work start time, the work end time, and the total working time; the working time is displayed to the target object; in response to the user's work completion confirmation operation, multiple monitoring information of multiple preset maintenance points is determined within the working time.

[0113] Specifically, the intelligent maintenance system calculates the accurate working time period based on the two card swipe times, including the start and end times and the total duration. This data is displayed on the monitoring screen, prompting personnel for confirmation. After confirmation, the system can accurately retrieve the monitoring video from each maintenance point within that time period for subsequent omission checks. Compared to simply relying on card swipe times, this closed-loop confirmation mechanism ensures that the obtained working time and corresponding monitoring information more accurately match the actual situation.

[0114] S212. Based on image recognition technology, determine whether multiple monitoring information contain images of the target object with the first clothing and hat features.

[0115] Referring to step S105, after obtaining the monitoring information of each maintenance point during the working period, the intelligent maintenance system will use image recognition technology to determine whether the target object appears in the monitoring content.

[0116] S213. Provide information prompts to indicate that the target object has been overlooked during maintenance.

[0117] Referring to step S106, if the intelligent maintenance system determines that there are any omissions in the maintenance points, it will use voice or text to prompt the staff which maintenance points have been missed.

[0118] This application embodiment constructs an intelligent maintenance solution for substations by combining various intelligent technologies. This solution achieves refined monitoring of the entire maintenance process and has the following advantages and innovations compared to related technologies:

[0119] It achieves automated judgment of maintenance work quality, accurately identifying omissions or defects in the work and effectively avoiding errors or oversights in manual inspection; the proactive monitoring and early warning mechanism for equipment parameters and personnel behavior greatly improves the response capability to emergencies, especially potential safety hazards; the integrated application of multi-source heterogeneous data enables comprehensive intelligent supervision of equipment, environment, and personnel, bringing the operation and maintenance management of substations into a new stage; the open system architecture has good compatibility, upgradeability, and customizability, laying the foundation for further intelligent decision-making; it achieves unattended automated supervision, reducing operation and maintenance costs and improving economic efficiency.

[0120] The intelligent maintenance system in this application embodiment is described below from a module perspective. Please refer to [link / reference]. Figure 3 This is a schematic diagram of a functional module structure of the intelligent maintenance system in this application embodiment.

[0121] The intelligent maintenance system includes:

[0122] The entry data acquisition module 301 is used to collect the identity information of the target object outside the access control of the substation in response to the first door opening request command for personnel to enter, and obtain the first identity information data; the first identity information data includes the first facial feature data and the first clothing feature data.

[0123] The matching processing module 302 is used to open the access control system after determining that the first facial feature data matches the facial feature data of the person recorded in the identity database;

[0124] The exit data collection module 303 is used to collect the identity information of the target object inside the substation access control in response to the second door opening request command when the personnel leave, and to confirm whether the identity information data matches the first identity information data.

[0125] The data retrieval module 304 is used to retrieve multiple monitoring information of multiple preset maintenance points within the time period from the first door opening request instruction to the second door opening request instruction when the match is found.

[0126] The monitoring confirmation module 305 is used to determine, based on image recognition technology, whether multiple monitoring information contain images of the target object with the first clothing and hat features.

[0127] The information prompt module 306 is used to provide information prompts when the image of a target object does not appear in one or more monitoring information, indicating that the target object has been missed during maintenance.

[0128] In some embodiments, the matching processing module 302 specifically includes:

[0129] The face matching unit 3021 is used to determine whether the first face feature data matches the face feature data of a person already recorded in the identity database;

[0130] The clothing detection unit 3022 is used to further determine whether the first clothing feature data meets the preset normal work clothing requirements after the face matching is completed; the normal work clothing requirements include wearing a safety helmet and wearing protective gloves;

[0131] Access control unit 3023 is used to open the access control system after the clothing requirements are met.

[0132] In some embodiments, the data retrieval module 304 specifically includes:

[0133] The time determination unit 3041 is used to determine the time period from the first door opening request instruction to the second door opening request instruction, and obtain the working time; the working time includes the work start time, the work end time, and the total working time.

[0134] Information display unit 3042 is used to display working time to the target object;

[0135] The data determination unit 3043 is used to determine multiple monitoring information of multiple preset maintenance points during the working time in response to the user's work completion confirmation operation.

[0136] In some embodiments, the intelligent maintenance system further includes:

[0137] The work prompt module 307 is used to provide voice and image prompts to indicate the work content to the target object.

[0138] The behavior monitoring module 308 is used to record the travel and capture the motion of the target object after it enters the substation, so as to obtain real-time travel information and real-time motion information.

[0139] The area warning module 309 is used to send a first warning message to the monitoring terminal when real-time travel information enters a preset restricted area; the restricted area is determined based on the first identity information data.

[0140] The action warning module 310 is used to send a second warning message to the monitoring terminal when the real-time action information is a preset violation action.

[0141] In some embodiments, the intelligent maintenance system further includes:

[0142] Safety benchmark module 311 is used to determine the safety level of the target object based on real-time travel information and real-time action information;

[0143] The hazard confirmation module 312 is used to determine the hazardous state of the target object when the safety level is lower than a preset threshold; the hazardous state includes electric shock and sudden illness.

[0144] The emergency distress module 313 is used to send emergency distress information, including on-site images and dangerous conditions, to the monitoring terminal.

[0145] In some embodiments, the intelligent maintenance system further includes:

[0146] The parameter monitoring module 314 is used to monitor the operating parameters of each working device in the substation in real time; the operating parameters include temperature, current, and voltage.

[0147] The exception notification module 315 is used to display exception information to the target object when the running parameters do not meet the preset normal threshold.

[0148] In some embodiments, the intelligent maintenance system further includes:

[0149] The entrance monitoring module 316 is used to monitor in real time the objects entering the substation at the access control point;

[0150] The hazard warning module 317 is used to send a third warning message to the monitoring terminal when a preset hazard object appears in the entry object; the hazard objects include cats, dogs, and rats.

[0151] The intelligent maintenance system in this application embodiment has been described above from the perspective of modular functional entities. The intelligent maintenance system in this application embodiment is described below from the perspective of hardware processing. Please refer to [link / reference]. Figure 4 This is a schematic diagram of the physical device structure of an intelligent maintenance system in the embodiments of this application.

[0152] It should be noted that, Figure 4 The structure of the intelligent maintenance system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0153] like Figure 4 As shown, the intelligent maintenance system includes a Central Processing Unit (CPU) 401, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 402 or programs loaded from storage section 408 into Random Access Memory (RAM) 403, such as performing the methods described in the above embodiments. The RAM 403 also stores various programs and data required for system operation. The CPU 401, ROM 402, and RAM 403 are interconnected via a bus 404. An Input / Output (I / O) interface 405 is also connected to the bus 404.

[0154] The following components are connected to I / O interface 405: input section 406 including a camera, audio receiver, temperature sensor, electrical parameter sensor, etc.; output section 407 including a liquid crystal display (LCD), audio output device, indicator light, access control device, etc.; storage section 408 including a hard disk, etc.; and communication section 409 including a network interface card such as a LAN (Local Area Network) card, modem, etc. Communication section 409 performs communication processing via a network such as the Internet. Drive 410 is also connected to I / O interface 405 as needed. Removable media 411, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 410 as needed so that computer programs read from it can be installed into storage section 408 as needed.

[0155] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by central processing unit (CPU) 401, it performs the various functions defined in the present invention.

[0156] It should be noted that the computer-readable medium shown in the embodiments of the present invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. The transmitted data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof.

[0157] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0158] Specifically, the intelligent maintenance system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, it implements the intelligent maintenance method for the substation provided in the above embodiment.

[0159] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the intelligent maintenance system described in the above embodiments; or it may exist independently and not be assembled into the intelligent maintenance system. The storage medium carries one or more computer programs, which, when executed by a processor of the intelligent maintenance system, cause the intelligent maintenance system to implement the intelligent maintenance method for the substation provided in the above embodiments.

[0160] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0161] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as meaning "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as meaning "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0162] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. This computer program product includes one or more computer instructions. When these computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0163] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for intelligent maintenance of substations, applied to an intelligent maintenance system, characterized in that, The method includes: In response to the first door opening request command for personnel entry, the identity information of the target object outside the substation access control is collected to obtain first identity information data; the first identity information data includes first facial feature data and first clothing feature data; Once it is confirmed that the first facial feature data matches the facial feature data of a person already recorded in the identity database, the access control is activated; Provide voice and image prompts to indicate the work content to the target object; After the target object enters the substation, its journey is recorded and its motion is captured to obtain real-time journey information and real-time motion information; specifically, this includes: detecting the target object's changing action, detecting the target object's real-time clothing and hat information, updating the target object's identity information data after changing clothes, and obtaining updated identity information data as the first identity information data; Based on the real-time travel information and the real-time action information, the security level of the target object is confirmed; When the safety level is lower than a preset threshold, the dangerous state of the target object is determined; specifically, if an electric shock action is detected, it is confirmed that the object is in an electric shock state; if a person is detected falling to the ground and remaining motionless in a non-electric area, it is determined to be a sudden illness state. Send an emergency distress signal, including images of the scene and the dangerous situation, to the monitoring terminal; When the real-time travel information enters a preset restricted area, a first warning message is sent to the monitoring terminal; the restricted area is determined based on the first identity information data. When the real-time action information is a preset violation, a second warning message is sent to the monitoring terminal; In response to the second door opening request command for personnel to leave, the identity information of the target object inside the substation access control is collected, and it is confirmed whether the detected second identity information data matches the first identity information data; If they match, then retrieve multiple monitoring information from multiple preset maintenance points within the time period from the first door opening request instruction to the second door opening request instruction; Based on image recognition technology, determine whether all of the multiple monitoring information contain an image of the target object that includes the first clothing and hat features; If the image of the person is not found in one or more monitoring records, a notification will be issued indicating that the target object has been missed during maintenance.

2. The method according to claim 1, characterized in that, After determining that the first facial feature data matches the facial feature data of a person already recorded in the identity database, the access control is opened, specifically including: Determine whether the first facial feature data matches the facial feature data of a person already recorded in the identity database; If so, then continue to determine whether the first clothing and hat feature data meets the preset normal work attire requirements; the normal work attire requirements include wearing a safety helmet and wearing protective gloves; If the conditions are met, the access control will be activated.

3. The method according to claim 1, characterized in that, The retrieval of multiple monitoring information from multiple preset maintenance points within the time period from the first door opening request instruction to the second door opening request instruction specifically includes: The time period from the first door opening request instruction to the second door opening request instruction is determined to obtain the working time; the working time includes the work start time, the work end time, and the total working time. The working hours are displayed to the target object; In response to the user's confirmation of work completion, multiple monitoring information for multiple preset maintenance points is determined within the working time.

4. The method according to claim 1, characterized in that, After the step of providing voice and image prompts to indicate the task content to the target object, the method further includes: Real-time monitoring of the operating parameters of each working device in the substation; the operating parameters include temperature, current, and voltage; When the operating parameters do not meet the preset normal threshold, an abnormal message is displayed to the target object.

5. The method according to claim 1, characterized in that, After determining that the first facial feature data matches the facial feature data of a person recorded in the identity database, and then opening the access control, the method further includes: Real-time monitoring of individuals entering the substation at the access control point; When a preset potential hazard is found among the objects being entered, a third warning message is sent to the monitoring terminal; the potential hazard includes cats, dogs, and rats.

6. An intelligent maintenance system, characterized in that, include: The entry data acquisition module is used to collect the identity information of the target object outside the access control of the substation in response to the first door opening request command for personnel to enter, and obtain the first identity information data; the first identity information data includes the first facial feature data and the first clothing feature data. The matching processing module is used to open the access control system after determining that the first facial feature data matches the facial feature data of a person already recorded in the identity database. The work prompt module is used to provide voice and image prompts to the target object to indicate the work content. The behavior monitoring module is used to record the travel and capture the motion of the target object after it enters the substation, so as to obtain real-time travel information and real-time motion information. Specifically, it includes: detecting the target object's clothing change action, detecting the target object's real-time clothing and hat information, updating the target object's identity information data after the clothing change, and obtaining the updated identity information data as the first identity information data. A safety baseline module is used to determine the safety level of the target object based on the real-time travel information and the real-time action information. The danger confirmation module is used to determine the dangerous state of the target object when the safety level is lower than a preset threshold; specifically, it includes: if an electric shock action is detected, confirming that the object is in an electric shock state; if a person is detected lying down and remaining still in a non-electric area, determining that the object is in a state of sudden illness. The emergency distress module is used to send emergency distress information, including on-site images and the dangerous situation, to the monitoring terminal; The area warning module is used to send a first warning message to the monitoring terminal when the real-time travel information enters a preset restricted area; the restricted area is determined based on the first identity information data. The action warning module is used to send a second warning message to the monitoring terminal when the real-time action information is a preset violation action; The exit data collection module is used to collect the identity information of the target object inside the substation access control in response to the second door opening request command when the person leaves, and to confirm whether the identity information data matches the first identity information data. The data retrieval module is used to retrieve multiple monitoring information of multiple preset maintenance points within the time period from the first door opening request instruction to the second door opening request instruction when the match is found. The monitoring confirmation module is used to determine, based on image recognition technology, whether all of the multiple monitoring information contain an image of the target object that includes the first clothing and hat features; The information prompt module is used to provide an information prompt when the image of the person does not appear in one or more monitoring information, indicating that the target object has been missed during maintenance.

7. An intelligent maintenance system, characterized in that, include: One or more processors and memory; The memory is coupled to the one or more processors, and the memory is used to store computer program code, the computer program code including computer instructions, which the one or more processors call to cause the intelligent maintenance system to perform the method as described in any one of claims 1-5.

8. A computer-readable storage medium comprising instructions, characterized in that, When the instruction is executed on the intelligent maintenance system, the intelligent maintenance system performs the method as described in any one of claims 1-5.

Images