Power operation personal risk monitoring method and system, computer equipment, readable storage medium and program product

Abstract

The invention relates to a power operation personal risk monitoring method and system, computer equipment, a computer readable storage medium and a computer program product, and relates to the technical field of power safety. The method comprises the following steps: acquiring personal risk monitoring information for a power operation site in real time; the personal risk monitoring information comprises image information and text information; performing risk identification on the personal risk monitoring information to obtain a risk identification result, and sending the risk identification result to a terminal of a worker; the risk identification result is used for indicating a worker to take corresponding safety prevention and control measures for the electric power operation site; obtaining supervision feedback information for the electric power operation site, and storing the risk identification result and the supervision feedback information; the supervision feedback information is personal risk monitoring information of the electric power operation site after the corresponding safety prevention and control measures are taken. By adopting the method, the comprehensiveness of power operation personal risk monitoring can be expanded.

Description

Technical Field

[0001] The present application relates to the field of power safety technology, and in particular to a monitoring method, system, computer equipment, computer-readable storage medium and computer program product for personal risk monitoring during power operations. Background Art

[0002] Since power operations involve certain risks in terms of work content and working environment, power companies need to conduct safety production management during power operations. Safety production management not only involves the management of work content and construction conditions, but also requires attention to the work level and personal situation of operators. At present, the safety management methods adopted by power companies for power operations include: risk monitoring through real-time collection of equipment data throughout the power operation process. However, the current safety management methods adopted by power companies for power operations have the problem of weak comprehensiveness of monitoring. Summary of the invention

[0003] Based on this, it is necessary to provide a monitoring method, system, computer equipment, computer-readable storage medium and computer program product for personal risks in power operations that can expand the comprehensiveness of monitoring in response to the above-mentioned technical problems.

[0004] In a first aspect, the present application provides a method for monitoring personal risks in power operations, comprising:

[0005] Real-time acquisition of personal risk monitoring information for power operation sites; the personal risk monitoring information includes image information and text information;

[0006] Perform risk identification on the personal risk monitoring information to obtain a risk identification result, and send the risk identification result to a terminal of a staff member; the risk identification result is used to instruct the staff member to take corresponding safety prevention and control measures for the power operation site;

[0007] Obtain supervision feedback information for the power operation site, and store the risk identification results and supervision feedback information; the supervision feedback information is personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

[0008] In one embodiment, the real-time acquisition of personal risk monitoring information for the power operation site includes:

[0009] Real-time acquisition of personal risk monitoring information for the power operation site sent by image acquisition equipment, terminals of operating personnel and terminals of inspection personnel.

[0010] In one embodiment, the performing risk identification on the personal risk monitoring information to obtain a risk identification result includes:

[0011] In the case where the personal risk monitoring information is image information, risk identification is performed on the personal risk monitoring information according to an image recognition model and a natural language processing model to obtain a risk identification result;

[0012] In the case where the personal risk monitoring information is text information, risk identification is performed on the personal risk monitoring information according to a natural language processing model to obtain a risk identification result;

[0013] Wherein, the image recognition model and the natural language processing model are trained by historical power operation data.

[0014] In one of the embodiments, when the personal risk monitoring information is image information, risk identification is performed according to an image recognition model and a natural language processing model to obtain a risk identification result, including:

[0015] Recognize the image information according to the image recognition model to obtain the operation mode corresponding to the image information;

[0016] The operation mode corresponding to the image information is identified according to the natural language processing model to obtain a risk identification result.

[0017] In one embodiment, after storing the risk identification result and the supervision feedback information, the method further includes:

[0018] updating the historical power operation data respectively according to the risk identification result and the supervision feedback information;

[0019] According to the updated historical power operation data, the image recognition model and the natural language model are updated respectively to obtain an updated image recognition model and an updated natural language model.

[0020] In one embodiment, the obtaining of the supervisory feedback information for the power operation site includes:

[0021] Obtaining supervision feedback information on the power operation site sent by image acquisition equipment, terminals of operation workers, and terminals of inspection workers;

[0022] Perform risk identification on the supervisory feedback information to obtain a review risk identification result; the review risk identification result is used to verify the processing results of the safety prevention and control measures taken at the power operation site.

[0023] In a second aspect, the present application also provides a monitoring system for personal risks in power operations, including:

[0024] A monitoring information acquisition unit, used to acquire personal risk monitoring information for the power operation site in real time; the personal risk monitoring information includes image information and text information;

[0025] A personal risk warning unit, used to identify the personal risk monitoring information, obtain a risk identification result, and send the risk identification result to a terminal of a staff member; the risk identification result is used to instruct the staff member to take corresponding safety prevention and control measures for the power operation site;

[0026] A risk supervision and storage unit is used to obtain supervision feedback information for the power operation site and store the risk identification results and supervision feedback information; the supervision feedback information is the personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

[0027] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0028] Real-time acquisition of personal risk monitoring information for power operation sites; the personal risk monitoring information includes image information and text information;

[0029] Perform risk identification on the personal risk monitoring information to obtain a risk identification result, and send the risk identification result to a terminal of a staff member; the risk identification result is used to instruct the staff member to take corresponding safety prevention and control measures for the power operation site;

[0030] Obtain supervision feedback information for the power operation site, and store the risk identification results and supervision feedback information; the supervision feedback information is personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

[0031] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0032] Real-time acquisition of personal risk monitoring information for power operation sites; the personal risk monitoring information includes image information and text information;

[0033] Perform risk identification on the personal risk monitoring information to obtain a risk identification result, and send the risk identification result to a terminal of a staff member; the risk identification result is used to instruct the staff member to take corresponding safety prevention and control measures for the power operation site;

[0034] Obtain supervision feedback information for the power operation site, and store the risk identification results and supervision feedback information; the supervision feedback information is personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

[0035] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0036] Real-time acquisition of personal risk monitoring information for power operation sites; the personal risk monitoring information includes image information and text information;

[0037] Perform risk identification on the personal risk monitoring information to obtain a risk identification result, and send the risk identification result to a terminal of a staff member; the risk identification result is used to instruct the staff member to take corresponding safety prevention and control measures for the power operation site;

[0038] Obtain supervision feedback information for the power operation site, and store the risk identification results and supervision feedback information; the supervision feedback information is personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

[0039] The above-mentioned monitoring method, device, computer equipment, computer-readable storage medium and computer program product for personal risk of power operation can timely obtain the situation of the power operation site by real-time acquisition of personal risk monitoring information for the power operation site, and improve the response speed when discovering risks. Among them, the personal risk monitoring information includes image information and text information, so that the acquired monitoring information has diversity and multi-channel characteristics. Further risk identification is performed on the personal risk monitoring information to obtain a risk identification result, and the risk identification result is sent to the terminal of the staff, wherein the risk identification result is used to instruct the staff to take corresponding safety prevention and control measures for the power operation site, so that the staff is warned in time through the risk identification result. Obtain supervision feedback information for the power operation site, store the risk identification result and supervision feedback information; the supervision feedback information is the personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures. Therefore, after the staff takes safety prevention and control measures, the system can check the effectiveness of the measures in time. Therefore, by obtaining diverse personal risk monitoring information in real time to identify risks and issue early warnings to staff, we also obtain supervisory feedback information to check the risk investigation of power operation sites after the early warning is issued, thereby expanding the comprehensiveness of personal risk supervision at power operation sites. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0041] FIG1 is a diagram showing an application environment of a method for monitoring personal risks in power operations according to an embodiment;

[0042] FIG2 is a schematic flow chart of a method for monitoring personal risks in power operations in one embodiment;

[0043] FIG3 is a schematic diagram of a process flow of a risk identification step in one embodiment;

[0044] FIG4 is a block diagram of a monitoring system for personal risk in power operations according to an embodiment;

[0045] FIG5 is a structural block diagram of a multi-channel stereoscopic monitoring system for personal risk in power operations according to an embodiment;

[0046] FIG6 is a structural block diagram of a monitoring device for personal risk in power operations according to an embodiment;

[0047] FIG. 7 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] The monitoring method for personal risk of power operation provided in the embodiment of the present application can be applied in the application environment shown in FIG1. ​​The application environment includes: a terminal 102, a monitoring system 104 for personal risk of power operation and a data storage system. Among them, the terminal 102 communicates with the monitoring system 104 for personal risk of power operation through a network. The data storage system can store the data that the monitoring system 104 for personal risk of power operation needs to process. The data storage system can be integrated on a server, or it can be placed on a cloud or other network server. Among them, the terminal 102 can be, but is not limited to, a terminal (such as a smart phone, a personal computer, etc.) of a staff member at the power operation site or an image acquisition device (such as a monitoring, a camera, etc.) at the power operation site. The monitoring system 104 for personal risk of power operation obtains personal risk monitoring information for the power operation site in real time; wherein the personal risk monitoring information includes image information and text information, which is sent by the terminal 102. The monitoring system 104 for personal risk of power operation performs risk identification on the personal risk monitoring information, obtains a risk identification result, and sends the risk identification result to the terminal 102 of the staff member; the risk identification result is used to instruct the staff member to take corresponding safety prevention and control measures for the power operation site. Furthermore, the monitoring system 104 for personal risks in power operations obtains supervisory feedback information on the power operation site, and stores the risk identification results and supervisory feedback information in a data storage system; wherein the supervisory feedback information is personal risk monitoring information on the power operation site after corresponding safety prevention and control measures are taken.

[0050] In an exemplary embodiment, as shown in FIG2 , a method for monitoring personal risks in power operations is provided, and the method is described by taking the method applied to the monitoring system 104 for personal risks in power operations in FIG1 as an example, and includes the following steps S202 to S206. Among them:

[0051] Step S202, real-time acquisition of personal risk monitoring information for the power operation site.

[0052] Among them, the power operation site can be the construction site of the power system. The power system refers to the power supply system composed of power plants, transmission networks and distribution networks. It is one of the indispensable infrastructures in modern society. It provides people with electricity, supports economic development and convenience of life, and promotes social development and progress. When the power system equipment is running, power workers are required to maintain and inspect the equipment to ensure the normal operation of the power system.

[0053] Among them, personal risk monitoring information includes image information and text information. Personal risk may be a factor that may bring danger to power workers when performing power operations due to the operation of equipment, the wearing of safety protection equipment, and the distance from dangerous equipment.

[0054] Optionally, the monitoring system acquires personal risk monitoring information for the power operation site from multiple channels in real time, so as to monitor the personal risks of the workers at the power operation site according to the personal risk monitoring information.

[0055] Step S204, perform risk identification on the personal risk monitoring information, obtain risk identification results, and send the risk identification results to the staff's terminal.

[0056] Among them, the risk identification results are used to instruct the staff to take corresponding safety prevention and control measures for the power operation site. The risk identification results include the risk information of the staff at the power operation site identified, and different risks correspond to different safety prevention and control measures. Common safety prevention and control measures include safety skills training for staff, adjusting working hours, setting up risk warning signs, setting up safety fences, improving equipment settings and protective equipment, and specifying safety regulations and systems and implementing them in place.

[0057] Optionally, the monitoring system uses a preset identification method to identify the personal risk monitoring information and obtain a risk identification result. For example, if the personal risk monitoring information is image information, the personal risk monitoring information is identified by an image recognition method, and if the personal risk monitoring information is text information, the personal risk monitoring information is identified by a semantic analysis method.

[0058] Step S206, obtaining supervision feedback information for the power operation site, and storing the risk identification results and supervision feedback information.

[0059] Among them, the supervision feedback information is the personal risk monitoring information at the power operation site after the corresponding safety prevention and control measures are taken. It is the supervision result of whether the personal risks included in the power operation site have been checked and corrected after the corresponding safety prevention and control measures are taken.

[0060] Optionally, the monitoring system obtains supervisory feedback information for the power site after corresponding safety prevention and control measures are taken. The supervisory feedback information may be sent by the staff at the power operation site or by the image acquisition device at the power operation site. The risk identification results and supervisory feedback information are stored in the database to facilitate the subsequent tracing of the data involved in the monitoring process, and the staff can query the stored data at any time.

[0061] In the above-mentioned monitoring method for personal risks of power operation, by obtaining personal risk monitoring information for the power operation site in real time, the situation of the power operation site can be obtained in time, and the response speed when the risk is discovered can be improved. Among them, the personal risk monitoring information includes image information and text information, so that the monitoring information obtained is diverse and multi-channel. Further risk identification is performed on the personal risk monitoring information to obtain the risk identification result, and the risk identification result is sent to the terminal of the staff, wherein the risk identification result is used to instruct the staff to take corresponding safety prevention and control measures for the power operation site, so that the staff can be warned in time through the risk identification result. Obtain supervision feedback information for the power operation site, store the risk identification result and the supervision feedback information; the supervision feedback information is the personal risk monitoring information of the power operation site after the corresponding safety prevention and control measures are taken. Therefore, after the staff takes safety prevention and control measures, the system can check the effectiveness of the measures in time. Therefore, by obtaining diverse personal risk monitoring information in real time to identify risks and warn the staff, the risk investigation of the power operation site after the supervision feedback information is checked and the warning is issued is also obtained, which expands the comprehensiveness of personal risk supervision at the power operation site.

[0062] In an exemplary embodiment, step S202 acquires real-time personal risk monitoring information for the power operation site, including:

[0063] Real-time acquisition of personal risk monitoring information for power operation sites sent by image acquisition equipment, operating staff terminals and inspection staff terminals.

[0064] Among them, the image acquisition device can be a device used to capture and record static or dynamic images. Common image acquisition devices include cameras, webcams, scanners, image sensors and drones.

[0065] Optionally, the monitoring system obtains personal risk monitoring information for power operation sites in three modes: operator upload mode, on-site inspection mode and online monitoring mode. Among them, the operator upload mode is to obtain personal risk monitoring information for the power site sent by the operator's terminal, which can be images, videos or text descriptions taken by the operator; the on-site inspection mode is to obtain images, videos or text descriptions taken by the inspectors when inspecting the power operation site; the online monitoring mode can be to obtain personal risk monitoring information for the power site collected by image detection equipment in real time.

[0066] In this embodiment, by acquiring personal risk monitoring information collected in multiple modes for the power operation site, a more comprehensive understanding of the construction conditions and risk conditions of the power operation site can be achieved, thereby expanding the comprehensiveness of personal risk monitoring.

[0067] In an exemplary embodiment, as shown in FIG3 , step S204 performs risk identification on personal risk monitoring information to obtain a risk identification result, including the following steps S302 to S304. Among them:

[0068] Step S302: When the personal risk monitoring information is image information, risk identification is performed on the personal risk monitoring information according to the image recognition model and the natural language processing model to obtain a risk identification result.

[0069] Among them, the image recognition model can be an artificial intelligence model that learns to extract features from images and is used to analyze and understand the image content; the natural language model can be an artificial intelligence model that processes and understands human language and can classify text into different subject categories; the image recognition model and the natural language processing model are trained through historical power operation data. The historical power operation data can be the operation data of the operating staff corresponding to the personal risks monitored in the power operation in the historical time period, the environmental data of the operation site, the operation data of the equipment, etc.

[0070] Among them, the risk identification results may include whether there is personal risk in the personal risk monitoring information, and the type of personal risk that exists.

[0071] Optionally, when the personal risk monitoring information is image information, the image information may be an image directly acquired or an image obtained by extracting key frames from a video. The image information is subjected to image recognition according to an image recognition model, and the image recognition result is converted into a natural language description, and then the natural language description is subjected to semantic analysis by a natural language model to obtain the corresponding personal risk information, and the personal risk information is used as the risk recognition result.

[0072] Step S304: When the personal risk monitoring information is text information, risk identification is performed on the personal risk monitoring information according to a natural language processing model to obtain a risk identification result.

[0073] Optionally, when the personal risk monitoring information received from the terminal of the operating staff or sent by the inspection staff is text information, the personal risk monitoring information is semantically analyzed according to the natural language processing model. For example, the text in the text information is classified based on whether there is a personal risk and the risk category of the personal risk, and the risk identification result is generated according to the classified text category.

[0074] In this embodiment, different recognition models are used to separately identify or jointly identify different types of personal risk monitoring information, making the method of processing personal risk monitoring information more comprehensive, further improving the comprehensiveness of personal risk monitoring, and also improving the efficiency of risk identification.

[0075] In an exemplary embodiment, in step S304, when the personal risk monitoring information is image information, risk identification is performed according to the image recognition model and the natural language processing model to obtain a risk identification result, including:

[0076] The image information is identified according to the image recognition model to obtain the operating method corresponding to the image information; the operating method corresponding to the image information is identified according to the natural language processing model to obtain the risk identification result.

[0077] Among them, the operation method can be the construction method of the operation workers at the power operation site, such as the construction operation actions of the operation workers, the construction process of the operation workers, the clothing conditions of the operation workers, etc.

[0078] Optionally, the monitoring system identifies the image information according to the image recognition model to obtain the working method corresponding to the image information. Specifically, the image recognition model performs human contour edge detection on the image information, and performs human skeleton estimation processing on the detected human contour edge map to obtain the posture key point map of the operating staff. The posture key point map of the operating staff is compared with the pre-established working method posture map to determine the natural language description of the working method corresponding to the image information. Then, the natural language description of the corresponding working method is semantically analyzed according to the natural language processing model, including text preprocessing, text classification and other operations, and the classification result is used as the risk identification result.

[0079] In this embodiment, the image recognition model determines the specific posture and working method of the operating staff in real time by analyzing the image information, while the natural language recognition model determines the risk situation of the operating staff through the working method. The combination of the two improves the comprehensiveness and accuracy of personal risk monitoring.

[0080] In an exemplary embodiment, after step S206 stores the risk identification results and the supervision feedback information, the following steps are further included:

[0081] According to the risk identification results and the supervision feedback information, the historical power operation data are updated respectively; according to the updated historical power operation data, the image recognition model and the natural language model are updated respectively to obtain an updated image recognition model and an updated natural language model.

[0082] Optionally, the monitoring system updates the historical power operation data according to the risk identification results and the supervisory feedback information, respectively. The updating method may be to add the risk identification results and the supervisory feedback information to the historical power operation data to expand the scope of the historical power operation data. The image recognition model and the natural language model are updated according to the updated historical power operation data to obtain an updated image recognition model and an updated natural language model. For example, the updated historical power operation data is used as sample data to optimize the training of the image recognition model and the natural language model.

[0083] In this embodiment, the historical power operation data is updated with the risk identification results and supervision feedback information involved during the monitoring period, and the image recognition model and the natural language model are updated with the updated power operation data, so that the image recognition model and the natural language model are also optimized during the monitoring process, thereby improving the accuracy of risk identification.

[0084] In an exemplary embodiment, step S204 obtains supervision feedback information for the power operation site, including:

[0085] Obtain the supervision feedback information on the power operation site sent by the image acquisition equipment, the terminals of the operation staff and the terminals of the inspection staff; perform risk identification on the supervision feedback information and obtain the review risk identification results.

[0086] Among them, the review of risk identification results is used to verify the processing results of safety prevention and control measures taken at the power operation site.

[0087] Optionally, the monitoring system obtains the supervisory feedback information for the power operation site sent by the image acquisition device, the terminal of the operating staff and the terminal of the inspection staff, which may be the images or videos taken by the image acquisition device, the operating staff and the inspection staff for the power operation site after taking safety prevention and control measures, as well as the text description of the power operation site uploaded by the operating staff and the inspection staff. Risk identification is performed on the supervisory feedback information in the same way as the identification method of the personal risk monitoring information in the above embodiment. The image information included in the supervisory feedback information can also be identified by an image recognition model and a natural language model in turn, or the text information included in the supervisory feedback information can be identified by a natural language model to obtain a review risk identification result. Thereby, the results of the personal risk investigation at the power operation site are reviewed to avoid omissions in personal risks.

[0088] In this embodiment, by obtaining supervisory feedback information on the power operation site after taking safety control measures, risk identification is performed again to review the personal risk investigation and ensure that no personal risk is missed, thereby enhancing the reliability and effectiveness of the monitoring system and promoting the comprehensiveness of safety management.

[0089] In an exemplary embodiment, as shown in FIG4 , a monitoring system for personal risk in power operations is provided, comprising:

[0090] A monitoring information acquisition unit is used to acquire personal risk monitoring information for power operation sites in real time; the personal risk monitoring information includes image information and text information;

[0091] The personal risk warning unit is used to identify the personal risk monitoring information, obtain the risk identification results, and send the risk identification results to the staff's terminal; the risk identification results are used to instruct the staff to take corresponding safety prevention and control measures for the power operation site;

[0092] The risk supervision and storage unit is used to obtain supervision feedback information on the power operation site and store the risk identification results and supervision feedback information; the supervision feedback information is the personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

[0093] In an exemplary embodiment, another method for monitoring personal risks in power operations is provided, which is applied to a multi-channel stereoscopic monitoring system for personal risks in power operations as shown in FIG5 , the system including a power operation personal risk early warning platform, a supervision platform and a tracing platform. The method includes:

[0094] Step 1: Build a personal risk warning platform for power operations, and use the personal risk warning platform to warn of personal risks in power operations. The personal risk warning platform for power operations supports on-site inspection warning mode, online warning mode and operator's own warning mode. The personal risk warning platform for power operations sends warning information (corresponding to the risk identification result in the above embodiment) to relevant power workers so that they can take safety prevention and control measures.

[0095] Step S2: construct a power operation personal risk supervision platform, and conduct power operation personal risk supervision through the power operation personal risk supervision platform. The power operation personal risk supervision platform supports on-site inspection supervision mode, online supervision mode and operator self-supervision mode, so as to monitor whether the safety prevention and control measures taken by relevant power workers are in place after the early warning information is issued through the power operation personal risk supervision platform.

[0096] Step S3: construct a power operation personal risk tracing platform, and feed back the warning information of the power operation personal risk warning platform and the supervision information of the power operation personal risk supervision platform (corresponding to the supervision feedback information in the above embodiment) to the power operation personal risk tracing platform, so as to check the potential personal risks of power operation through the power operation personal risk tracing platform and trace the personal safety accidents that have occurred.

[0097] The personal risk early warning platform for power operations constructed in the method performs risk early warning through three different modes, the personal risk supervision platform for power operations supervises and investigates the risk elimination status through three different modes, and the personal risk tracing platform for power operations is used for later investigation of potential personal risks in power operations and tracing of personal safety accidents that have occurred. Each platform is a safety monitoring or early warning channel with a separate function, thereby achieving three-dimensional monitoring of personal risks in power operations through three different channels, improving the effectiveness of safety prevention and control of power operations, and better ensuring the safety of power construction.

[0098] Optionally, the above-mentioned on-site inspection and early warning mode is to have early warning personnel (corresponding to the inspection workers in the above-mentioned embodiment) inspect the operation site and record the personal risks. This mode is to arrange special personnel to inspect and warn at the construction site, and the cost is relatively high; the online early warning mode is to use image acquisition equipment to upload the power operation scene by video or photo and then conduct personal risk analysis. This mode is to arrange monitoring equipment at the construction site, or to inspect and take pictures by drone, and the cost of this method is relatively low; the operator's own early warning mode is to have the operator (corresponding to the operator in the above-mentioned embodiment) record the personal risks and upload them to the power operation personal risk early warning platform. Some personal risks in power operations may not be solved by the operators themselves, such as insufficient manpower and insufficient tools. In this case, other departments of the company need to cooperate. When the operator himself issues a warning, if other relevant departments do not take measures, they can be held accountable based on the verification situation. Therefore, the self-warning mode is also a very necessary and effective safety precaution.

[0099] Optionally, in the previous online warning mode, the personal risk warning platform for power operations automatically analyzes the existing personal risks through image recognition and big data processing based on natural language. For example, a mature image recognition model trained through power construction data (corresponding to the historical power operation data in the above embodiment) can be used to identify different construction modes (corresponding to the operation methods in the above embodiment) in the collected pictures, and natural language big data processing can be used to determine whether this construction mode has safety hazards, thereby improving image data processing efficiency and reducing analysis costs.

[0100] Optionally, the foregoing on-site inspection and supervision mode is to have supervisors inspect and supervise the work site and record whether the existing personal risks have been eliminated. This mode is to arrange special personnel to inspect and supervise at the construction site, and the cost is relatively high; the online supervision mode is to supervise whether the personal risks in power operations have been eliminated through video or photography. This mode is to arrange monitoring equipment at the construction site, or to inspect and take photos by drone. The cost of this method is relatively low; the operator's own supervision mode is for the operator to record whether the existing personal risks have been eliminated and upload them to the power operation personal risk early warning platform. After each risk investigation, the corresponding power operator can be required to report the risk elimination situation (corresponding to the supervision and review information in the above embodiment) for the existing risks. For example, for the risk of insufficient manpower arrangement, after verification that it does exist, whether other relevant departments have taken measures.

[0101] Optionally, in the above online supervision mode, the existing personal risks can be automatically analyzed by manual analysis or by image recognition and natural language-based big data processing to see whether they have been eliminated. The manual analysis method is to manually check the photos of the on-site construction conditions after the risks have been eliminated; for the automatic analysis of whether the existing personal risks have been eliminated by image recognition and natural language-based big data processing, a mature image recognition model trained with power construction data can be used to identify the construction mode in the collected on-site construction photos after the risks have been eliminated, and natural language big data processing can be used to determine whether this construction mode still has safety hazards.

[0102] In the present embodiment, the electric power operation personal risk early warning platform constructed in the method for constructing a multi-channel three-dimensional monitoring model for personal risks in electric power operations performs risk early warning through three different modes, the constructed electric power operation personal risk supervision platform supervises and investigates the risk elimination status through three different modes, and the constructed electric power operation personal risk tracing platform is used for later investigation of existing potential personal risks in electric power operations and tracing of personal safety accidents that have occurred. Each platform is a safety monitoring or early warning channel with a separate function, thereby achieving three-dimensional monitoring of personal risks in electric power operations through three different channels, improving the effectiveness of safety prevention and control of electric power operations, and better ensuring the safety of electric power construction.

[0103] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0104] Based on the same inventive concept, the embodiment of the present application also provides a monitoring device for personal risk of electric power operation for implementing the monitoring method for personal risk of electric power operation involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the monitoring device for personal risk of electric power operation provided below can refer to the limitations of the monitoring method for personal risk of electric power operation above, and will not be repeated here.

[0105] In an exemplary embodiment, as shown in FIG6 , a monitoring device 600 for personal risk in power operation is provided, comprising: an information acquisition module 602 , a risk identification module 604 and an information storage module 606 , wherein:

[0106] The information acquisition module 602 is used to acquire in real time the personal risk monitoring information for the power operation site; the personal risk monitoring information includes image information and text information.

[0107] The risk identification module 604 is used to perform risk identification on the personal risk monitoring information, obtain risk identification results, and send the risk identification results to the staff's terminal; the risk identification results are used to instruct the staff to take corresponding safety prevention and control measures for the power operation site.

[0108] The information storage module 606 is used to obtain the supervision feedback information for the power operation site and store the risk identification results and the supervision feedback information; the supervision feedback information is the personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

[0109] Each module in the above-mentioned power operation personal risk monitoring device 600 can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0110] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG7. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as personal risk monitoring information, supervision feedback information, and risk identification results. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for monitoring personal risks in power operations is implemented.

[0111] Those skilled in the art will understand that the structure shown in FIG. 7 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0112] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0113] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0114] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0115] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0116] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0117] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0118] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for monitoring personal risks in power operations, characterized in that: The method comprises: Real-time acquisition of personal risk monitoring information for power operation sites; the personal risk monitoring information includes image information and text information; Perform risk identification on the personal risk monitoring information to obtain a risk identification result, and send the risk identification result to a terminal of a staff member; the risk identification result is used to instruct the staff member to take corresponding safety prevention and control measures for the power operation site; Obtain supervision feedback information for the power operation site, and store the risk identification results and supervision feedback information; the supervision feedback information is personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

2. The method according to claim 1, characterized in that The real-time acquisition of personal risk monitoring information for power operation sites includes: Real-time acquisition of personal risk monitoring information for the power operation site sent by image acquisition equipment, terminals of operating personnel and terminals of inspection personnel.

3. The method according to claim 1, characterized in that: The performing risk identification on the personal risk monitoring information to obtain a risk identification result includes: In the case where the personal risk monitoring information is image information, risk identification is performed on the personal risk monitoring information according to an image recognition model and a natural language processing model to obtain a risk identification result; In the case where the personal risk monitoring information is text information, risk identification is performed on the personal risk monitoring information according to a natural language processing model to obtain a risk identification result; Wherein, the image recognition model and the natural language processing model are trained by historical power operation data.

4. The method according to claim 3, characterized in that When the personal risk monitoring information is image information, risk identification is performed according to the image recognition model and the natural language processing model to obtain a risk identification result, including: Recognize the image information according to the image recognition model to obtain the operation mode corresponding to the image information; The operation mode corresponding to the image information is identified according to the natural language processing model to obtain a risk identification result.

5. The method according to claim 3, characterized in that: After storing the risk identification result and the supervision feedback information, the method further includes: According to the risk identification result and the supervision feedback information, the historical power operation data is updated respectively; According to the updated historical power operation data, the image recognition model and the natural language model are updated respectively to obtain an updated image recognition model and an updated natural language model.

6. The method according to claim 1, characterized in that The obtaining of the supervision feedback information for the power operation site includes: Obtaining supervision feedback information on the power operation site sent by image acquisition equipment, terminals of operation workers, and terminals of inspection workers; Perform risk identification on the supervisory feedback information to obtain a review risk identification result; the review risk identification result is used to verify the processing results of the safety prevention and control measures taken at the power operation site.

7. A monitoring system for personal risks in power operations, characterized in that: The system comprises: A monitoring information acquisition unit, used to acquire personal risk monitoring information for a power operation site in real time; the personal risk monitoring information includes image information and text information; A personal risk warning unit, used to identify the personal risk monitoring information, obtain a risk identification result, and send the risk identification result to a terminal of a staff member; the risk identification result is used to instruct the staff member to take corresponding safety prevention and control measures for the power operation site; A risk supervision and storage unit is used to obtain supervision feedback information for the power operation site and store the risk identification results and supervision feedback information; the supervision feedback information is the personal risk monitoring information of the power operation site after taking corresponding safety prevention and control measures.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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