Power transmission line risk management and control method and device, computer equipment, medium and product

Abstract

The invention relates to a risk management and control method and device for a power transmission line, computer equipment, a medium and a product. The method comprises the following steps: acquiring real-time monitoring data related to a power transmission line; the real-time monitoring data comprises monitoring data corresponding to multiple risk types; calling a preset risk analysis model corresponding to the risk type, analyzing the monitoring data corresponding to the risk type, and outputting a risk analysis result corresponding to the risk type; the risk analysis result at least comprises a risk level; generating a risk management and control plan corresponding to the risk type based on the risk level and a preset risk management and control measure library; and pushing the risk management and control plan to a risk management and control platform to instruct the risk management and control platform to perform risk management and monitoring. Comprehensive risk analysis is performed on the power transmission line by integrating multiple paths of resource data, and the risk management and control plan corresponding to each risk type is generated and pushed to the risk management and control platform, so that efficient operation and maintenance management of the power transmission line is realized, and the risk management and control efficiency and the management and control effect of the power transmission line are improved.

Description

Technical Field

[0001] This application relates to the field of smart grid technology, and in particular to a method, apparatus, computer equipment, medium and product for risk management of transmission lines. Background Technology

[0002] With the continuous expansion of my country's power transmission line scale and the continuous development of new technologies such as communication technology, Internet technology, and the Internet of Things, the number and types of power transmission lines have begun to show an explosive growth trend. The development of power transmission lines has gradually entered the era of big data, and massive amounts of data can reflect the operating environment and operating status of power transmission lines from all aspects.

[0003] Traditionally, the operation and maintenance management of transmission lines relies heavily on the collaboration of various power departments and data support from various power systems. It also requires manual integration and analysis, which is too fragmented in terms of supporting professional management, problem analysis, and decision support, resulting in poor overall effectiveness of transmission line risk control.

[0004] Therefore, how to achieve efficient operation and maintenance management of transmission lines, and thus improve the efficiency and effectiveness of risk control, is a technical problem that urgently needs to be solved. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, device, computer equipment, computer-readable storage medium, and computer program product for risk management of transmission lines that can improve the efficiency and effectiveness of risk management of transmission lines, in response to the above-mentioned technical problems.

[0006] Firstly, this application provides a risk management method for transmission lines, applied to the operation and maintenance management system of transmission lines, including:

[0007] Acquire real-time monitoring data related to power transmission lines; the real-time monitoring data includes monitoring data corresponding to various risk types;

[0008] The system calls upon the preset risk analysis model corresponding to the risk type to analyze the monitoring data corresponding to the risk type and outputs the risk analysis results corresponding to the risk type; the risk analysis results include at least the risk level.

[0009] Based on the risk level and a pre-set risk control measures library, generate risk control plans corresponding to the risk types;

[0010] Push the risk management plan to the risk management platform to instruct the platform to manage and monitor the risks.

[0011] In one embodiment, the risk type includes at least one of power grid risk, equipment risk, environmental risk, operational risk, and public safety risk.

[0012] In one embodiment, the preset risk management measures library includes risk management measures libraries corresponding to each risk type. Based on the risk level and the preset risk management measures library, a risk management plan corresponding to the risk type is generated, including:

[0013] Determine the risk control measures corresponding to the risk type from the risk control measure library corresponding to the risk type;

[0014] Based on risk management measures, generate risk management plans corresponding to the risk types.

[0015] In one embodiment, the method further includes:

[0016] Display the risk management plan corresponding to the risk type;

[0017] In response to a triggered action on the risk management plan, the plan execution interface is displayed; the plan execution interface displays the execution information of the risk management plan.

[0018] In one embodiment, a scheduled execution interface is displayed, including:

[0019] Receive execution information of the risk management plan from the risk management platform;

[0020] Based on the execution information, a plan execution interface is generated and displayed.

[0021] In one embodiment, the method further includes:

[0022] For each risk type, based on the risk analysis results corresponding to the risk type, determine the corresponding risk statistics.

[0023] Display risk statistics.

[0024] Secondly, this application also provides a risk management device for transmission lines, applied to the operation and maintenance management system of transmission lines, comprising:

[0025] The acquisition module is used to acquire real-time monitoring data related to transmission lines; the real-time monitoring data includes monitoring data corresponding to various risk types.

[0026] The analysis module is used to call the preset risk analysis model corresponding to the risk type, analyze the monitoring data corresponding to the risk type, and output the risk analysis results corresponding to the risk type; the risk analysis results include at least the risk level;

[0027] The generation module is used to generate risk management plans corresponding to risk types based on risk levels and a pre-set risk management measures library;

[0028] The control module is used to push the risk control plan to the risk control platform to instruct the risk control platform to perform risk management and monitoring.

[0029] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the risk management method for transmission lines described in the first aspect above.

[0030] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the risk management method for transmission lines described in the first aspect above.

[0031] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the risk management method for transmission lines described in the first aspect above.

[0032] The aforementioned risk management methods, devices, computer equipment, storage media, and computer program products for transmission lines acquire real-time monitoring data related to the transmission lines; the real-time monitoring data includes monitoring data corresponding to various risk types; the system calls preset risk analysis models corresponding to risk types to analyze the monitoring data corresponding to the risk types and outputs risk analysis results corresponding to the risk types; the risk analysis results include at least the risk level; based on the risk level and a preset risk management measure library, a risk management plan corresponding to the risk type is generated; and the risk management plan is pushed to the risk management platform to instruct the risk management platform to perform risk management and monitoring. In other words, the operation and maintenance management system in the computer equipment can connect with other departmental systems and different data platforms of the transmission line to obtain real-time monitoring data of various risk types, and train risk analysis models for different risk types to identify and analyze different types of risks. That is, the operation and maintenance management system provided in this application embodiment can integrate multiple resource data, perform comprehensive risk analysis on the transmission line, and automatically generate risk control plans corresponding to each risk type and push them to the risk control platform so that the risk control platform can manage various risks of the transmission line in real time. Using this method, efficient operation and maintenance management of the transmission line can be achieved, thereby improving the risk control efficiency and control effect of the transmission line. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is an application environment diagram of a risk management method for transmission lines in one embodiment;

[0035] Figure 2 This is a flowchart illustrating a risk management method for transmission lines in one embodiment;

[0036] Figure 3 This is a flowchart illustrating a risk management method for transmission lines in another embodiment;

[0037] Figure 4 This is a flowchart illustrating a risk management method for transmission lines in another embodiment;

[0038] Figure 5 This is a structural block diagram of a risk management device for a transmission line in one embodiment;

[0039] Figure 6 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0041] With the continuous expansion of my country's power transmission line scale and the ongoing development of new technologies such as communication, internet, and the Internet of Things, the quantity and types of power transmission data have begun to show an explosive growth trend, and the development of power transmission lines has gradually entered the era of big data. Massive amounts of different operation and maintenance management data have been generated from data collected by numerous monitoring devices, inspection data, and various monitoring and analysis systems. This data comprehensively reflects the operating environment and status of power transmission lines and has become an extremely valuable resource.

[0042] However, the current data suffers from multiple sources and heterogeneity, lack of unified management standards, duplicate storage or inconsistency, and distribution across different systems. In particular, the operation and maintenance management of transmission line data is not perfect, data analysis functions are limited and relatively simple, and the massive amount of transmission line operation and maintenance data cannot be used for collaborative, comprehensive analysis and decision-making applications.

[0043] Currently, the operation and maintenance management of power transmission lines has entered the stage of intelligent and digital construction. Intelligent power transmission lines are based on traditional power transmission lines, applying digital technologies such as the Internet of Things (IoT), mobile internet, artificial intelligence, big data analytics, and cloud computing. They integrate advanced sensing, information, and control technologies, along with new materials and equipment, possessing high levels of informatization, automation, and interactivity. They achieve functions such as real-time information display, intelligent task planning, intelligent situational awareness, and intelligent decision support, reaching the goals of safe, reliable, green, and efficient operation. Digital power transmission lines, building upon intelligent power transmission lines, apply next-generation digital technologies such as cloud computing, big data, IoT, mobile internet, artificial intelligence, and blockchain to digitally upgrade power transmission lines. Data is used as a production factor in the entire lifecycle management and all aspects of the industrial chain, innovating and reshaping business models, management models, and commercial models. This makes the power grid more intelligent, safe, reliable, green, and efficient, possessing six major characteristics: supporting intelligent technology applications, supporting improved safety performance, supporting improved reliability, supporting green, energy-saving, and environmentally friendly construction, supporting efficient operation, and supporting model innovation and reshaping.

[0044] Traditionally, the operation and maintenance management of transmission lines relies heavily on collaboration among various power departments and data support from different power systems. This often involves manual integration and analysis, resulting in fragmentation that hinders professional management, problem analysis, and decision support, leading to poor overall effectiveness in transmission line risk control. In other words, current communication and resource sharing among departments involved in transmission line operation and maintenance management face significant challenges. Each system has limited functionality, data sharing between systems is inefficient, and different data cannot be intersected or analyzed. This prevents the realization of a closed-loop intelligent operation and maintenance system for transmission operations and hinders the full realization of the intelligent analysis potential of transmission big data. Consequently, the support provided by transmission data for intelligent and digital transmission is limited, and research findings in transmission operations cannot support intelligent decision-making for operation and maintenance personnel.

[0045] Furthermore, the existing operation and maintenance of transmission lines lacks a comprehensive platform to support the specialization of digital transmission. Digital support for transmission mainly relies on independent monitoring and analysis by various subsystems. The large amount of discrete monitoring, operation, and status data generated by heterogeneous systems is manually integrated and analyzed, failing to form a systematic and process-oriented integrated application. This results in fragmentation in supporting professional management, problem analysis, and decision support. Simultaneously, the lack of a platform prevents the automatic synchronization of inspection plans and results with other platforms, requiring manual data entry and failing to truly meet the requirements of digital transformation in transmission.

[0046] Existing operation and maintenance strategies are not widely applicable to digital transmission lines. Currently, pilot digital transmission lines still rely on existing operation and maintenance strategies, which are inapplicable and fail to highlight the advantages of digital transformation. Furthermore, the adoption of digital transmission line construction is limited, and the challenges of reducing manpower, increasing efficiency, and achieving high-quality development urgently need to be addressed. Currently, only a small number of lines have completed digital transformation, and the average maintenance workload per frontline personnel remains high, making it impossible to complete transmission equipment maintenance plans effectively within differentiated inspection cycles.

[0047] In summary, traditional methods suffer from limitations in power grid risk management and the inability to comprehensively analyze and make decisions based on massive amounts of transmission line operation and maintenance data. Therefore, how to achieve efficient operation and maintenance management of transmission lines, thereby improving the efficiency and effectiveness of risk control, is a pressing technical problem that needs to be solved.

[0048] Based on this, this application proposes a risk management method for transmission lines. It is grounded in and fully integrates the actual situation of digital transmission construction in the power grid, streamlines the professional management functions of transmission lines, focuses on the inherent safety of transmission equipment, and comprehensively conducts in-depth research on the digital transformation of the transmission profession. The research and construction cover the content of digital transformation of transmission lines, providing important support for this transformation. It will activate the potential for intelligent analysis and application of transmission line models, massive operation and maintenance data, and asset information, improving the application capabilities of transmission lines in intelligent and digital comprehensive decision-making, thus truly serving as a support for the transmission profession.

[0049] The risk management method for transmission lines provided in this application can be applied to, for example... Figure 1 In the application environment shown, the computer device 101 can be equipped with a power transmission line operation and maintenance management system. This system can combine real-time monitoring data from multiple platforms and monitoring equipment, and based on this data, perform multi-faceted risk prediction for the power transmission line, providing risk warning and comprehensive management capabilities for operation and maintenance. For example, the computer device 101 can be a terminal, a server, or a combination of both. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, etc., and the server can be a standalone server or a server cluster composed of multiple servers.

[0050] In one exemplary embodiment, such as Figure 2 As shown, a risk management method for transmission lines is provided, which is applied to... Figure 1 Taking a computer device as an example, this method includes steps 201 to 204, which are equipped with a power transmission line operation and maintenance management system. Wherein:

[0051] Step 201: Obtain real-time monitoring data related to the transmission line.

[0052] The real-time monitoring data can include monitoring data corresponding to various risk types. Risk types can include at least one of power grid risk, equipment risk, environmental risk, operational risk, and public safety risk. The monitoring data can include various types of monitoring data, including but not limited to physical monitoring data, environmental monitoring data, and visual monitoring data, such as current / voltage data, power data, temperature and humidity data, wind speed data, video data, image data, radar data, and ultrasonic detection data. This application does not make specific limitations on this. In practical applications, a variety of data related to the safe operation of transmission lines can be collected.

[0053] For example, computer equipment can obtain real-time monitoring data from monitoring equipment on power transmission lines, from other analysis platforms, or from data platforms such as servers or databases; that is, the operation and maintenance management system can communicate with different data sources such as monitoring equipment, other analysis platforms, and data platforms to achieve data sharing and resource sharing.

[0054] For example, for real-time monitoring data from different data sources, computer equipment can also perform data preprocessing on the acquired real-time monitoring data, such as cleaning, deduplication, anomaly detection, standardization, and normalization, to provide accurate data support for risk management analysis and improve the accuracy of risk management.

[0055] Step 202: Call the preset risk analysis model corresponding to the risk type, analyze the monitoring data corresponding to the risk type, and output the risk analysis results corresponding to the risk type.

[0056] The risk analysis results shall include at least the risk level. For example, the risk analysis results may also include risk data and information such as risk type, fault location, potential defects, and equipment identification.

[0057] For example, when the risk types include multiple types such as power grid risk, equipment risk, environmental risk, operational risk, and public safety risk, the computer equipment can pre-store the preset risk analysis model corresponding to each risk type to analyze different risks of transmission lines.

[0058] For example, when real-time monitoring data includes power grid risk data, a power grid risk analysis model can be established. By calling the power grid risk analysis model, the power grid risk data can be analyzed to obtain power grid risk analysis results. The power grid risk analysis results can include power grid risk level and power grid risk type. For example, according to risk types such as baseline risk, problem-based risk, and real-time risk, different risk levels such as major accidents, general accidents, level 1 events, level 2 events, and level 3 events can be displayed under three scenarios: N-1, N-2, and N-1-1. Among them, the problem-based risk type can be divided into risk levels such as major accidents, general accidents, level 1 events, level 2 events, level 3 events, and level 4 events.

[0059] For example, when real-time monitoring data includes equipment alarm information, an equipment risk analysis model (such as an intelligent alarm judgment model) can be established. By calling the equipment risk analysis model, the equipment alarm information can be analyzed to obtain the equipment risk analysis results. The equipment risk analysis results may include alarm information, alarm images, status charts, etc.

[0060] For example, when real-time monitoring data includes environmental risk data, an environmental risk analysis model can be established. By calling this model, the environmental risk data can be analyzed to obtain environmental risk analysis results. These results can include environmental categories, the number of alarms, and alarm levels, such as low-temperature freezing, heavy rain and thunderstorms, high temperatures, and strong winds. The environmental risk analysis results can also include correlation analysis results related to transmission line defects, operational risks, and planned control caused by environmental changes.

[0061] For example, different environmental risk analysis models can be established for different environmental categories, such as low-temperature freezing warning analysis models, thunderstorm and rainstorm warning analysis models, high-temperature warning analysis models, and strong wind warning analysis models. The low-temperature freezing warning analysis model can analyze the following situations, including ① icing: it can display areas prone to icing, icing monitoring devices, manual icing observation points, icing monitoring thickness and tensile data, manual icing observation data, and de-icing data. The thunderstorm and rainstorm warning analysis model can analyze the following situations, including ① geological hazards: landslide-prone areas, key flood control poles, and pole tilting. The system includes: flood control monitoring video devices; a high-temperature early warning analysis model capable of analyzing the following situations: ① Trees and bamboo and crossings: areas with trees and bamboo, the vertical distance between trees and bamboo and the conductor (e.g., 220kV less than or equal to 2 meters, 500kV less than or equal to 4 meters), crossing areas, and the clearance distance between crossing objects and the conductor or ground wire less than 5 meters; ② Wildfires: wildfire-prone areas, wildfire prevention video devices, manual fire observation points, satellite alarm information, and power outage fire avoidance; a strong wind early warning analysis model capable of analyzing the following situations: ① Trees and bamboo: areas with trees and bamboo, where trees and bamboo are higher than the conductor and the horizontal distance between them and the conductor is less than 6 meters; ② Hanging objects: sections with hanging objects requiring manual maintenance, video devices, etc.

[0062] It should be noted that the above environmental analysis and the data involved are for illustrative purposes only and are not intended to limit the scope of the analysis.

[0063] For example, when real-time monitoring data includes operational risk data, an operational risk analysis model can be established. By calling the operational risk analysis model, the operational risk data can be analyzed to obtain operational risk analysis results. The operational risk analysis results may include risk execution status, inspection and on-site plan completion status, and reminders for unscheduled or overdue tasks.

[0064] For example, when the real-time monitoring data includes public safety risk data, a public safety risk analysis model can be established. By calling the public safety risk analysis model, the public safety risk data can be analyzed to obtain public safety risk analysis results. The public safety risk analysis results can include risk areas, such as densely populated areas, public areas, and other areas that may pose safety risks to people in society.

[0065] Step 203: Based on the risk level and the preset risk control measures library, generate a risk control plan corresponding to the risk type.

[0066] For example, a risk management measure library can be built for different risk types. That is, the risk management measure library is pre-set to include the risk management measure library corresponding to each risk type. Based on this, for each risk type, the risk management measure corresponding to the risk type can be determined from the risk management measure library corresponding to the risk type. Then, based on the risk management measure, the risk management plan corresponding to the risk type can be generated.

[0067] For example, the risk control measures library corresponding to the risk type may include risk control measures corresponding to different risk levels. The risk control measures may include a series of execution information for eliminating risks, such as risk control methods, risk control personnel, risk control plans, risk control details, risk control standards, and risk control components. This will enable risk control personnel in the risk control department to respond quickly to risks and take corresponding measures to eliminate risks after generating corresponding risk control plans based on the risk control measures, thereby improving the efficiency of risk handling.

[0068] For example, the risk management measures library corresponding to each risk type can be constructed by different operation and maintenance management departments, experts, and technicians based on historical data, through comprehensive decision-making. This library, pre-formed to address different risk categories and levels, provides a decision-making basis for risk analysis in the transmission line operation and maintenance management system. Furthermore, the risk management measures library for each risk type can be dynamically updated based on each risk event and its actual handling, ensuring timely updates and improvements to the risk management measures library and enhancing the risk management capabilities and granularity of the transmission line.

[0069] It should be noted that the preset risk analysis models and risk control measures library corresponding to each of the above risk types have the function of comparing with relevant data such as route ledgers and plans, so as to realize the automatic generation of risk control plans.

[0070] Step 204: Push the risk management plan to the risk management platform to instruct the risk management platform to perform risk management and monitoring.

[0071] For example, the risk management platform can be a platform within an operation and maintenance management system, or a platform within another management system for transmission lines. Furthermore, there can be one or more risk management platforms, capable of handling multiple types of risks, or different risk management platforms can be set up for each risk type. After generating a risk management plan corresponding to each risk type, the computer equipment can push the risk management plan to the corresponding risk management platform, enabling the platform to manage and monitor the risk management plan for that risk type.

[0072] In the aforementioned risk management method for transmission lines, computer equipment acquires real-time monitoring data of various risk types related to the transmission line and calls preset risk analysis models corresponding to each risk type to analyze the monitoring data, thereby outputting risk analysis results for each risk type. These results include at least the risk level. Then, for each risk type, based on the risk level and a preset risk management measure library, a risk management plan is generated, and this plan is pushed to the risk management platform to instruct it to manage and monitor the risks. In other words, the operation and maintenance management system in the computer equipment can connect with other departmental systems and different data platforms related to the transmission line, thereby obtaining real-time monitoring data for various risk types and training risk analysis models for different risk types to identify and analyze different types of risks. Specifically, the operation and maintenance management system provided in this application can integrate multi-source data, perform comprehensive risk analysis on the transmission line, and automatically generate risk management plans for each risk type, pushing them to the risk management platform so that the platform can manage various risks of the transmission line in real time. This method enables efficient operation and maintenance management of the transmission line, thereby improving the efficiency and effectiveness of risk management. Furthermore, the embodiments of this application can also utilize massive power transmission operation and maintenance data to conduct comprehensive analysis and decision-making on power grid risks, thereby enhancing the application capabilities of power transmission lines in terms of intelligent and digital comprehensive decision-making.

[0073] In one exemplary embodiment, such as Figure 3 As shown, the above method may further include steps 301 to 302. Wherein:

[0074] Step 301: Display the risk management plan corresponding to the risk type.

[0075] For example, risk management plans for each risk type can be displayed on the relevant interface of the operation and maintenance management system, or the risk management plans for each risk type can be pushed to the risk management platform so that the risk management plans for each risk type can be displayed on the relevant interface of the risk management platform.

[0076] For example, risk management plans corresponding to different risk types can be displayed on the same interface or on different interfaces. That is, different risk types can correspond to different display interfaces to independently display one or more risk management plans corresponding to different risk types.

[0077] Step 302: In response to the triggered operation for the risk management plan, the plan execution interface is displayed.

[0078] The execution interface of this plan displays the execution information of the risk management plan. The execution information includes information before the execution of the risk management plan, information during the execution process, and information after the execution. Of course, the execution information may also include basic information of the risk management plan, such as risk type, risk level, risk data, and other risk-related information. This application does not make specific limitations on the execution information.

[0079] For example, when operations and maintenance personnel need to view the execution status of a certain risk management plan, they can trigger the corresponding risk management plan. The computer device, in response to the trigger operation for the risk management plan, displays the plan execution interface corresponding to that risk management plan. The plan execution interface can be overlaid on related interfaces, or users can jump to the plan execution interface from the aforementioned related interfaces. This plan execution interface can display the relevant execution information of the risk management plan corresponding to the triggered operation.

[0080] For example, the computer device can receive execution information of the risk management plan from the risk management platform, and generate and display the plan execution interface corresponding to the risk management plan based on the execution information. Alternatively, the computer device can also generate and display the plan execution interface corresponding to the risk management plan based on the execution information from the risk management platform and the basic information of the risk management plan stored in the operation and maintenance management system.

[0081] For example, risk management plans generated for power grid risks, equipment risks, environmental risks, operational risks, and public safety risks can be displayed on the interface. The risk management plan can include detailed plans such as special inspections, testing, maintenance, inspections, and implementation. Furthermore, by triggering the risk management plan, one can jump to the corresponding plan execution interface to view the plan's execution status.

[0082] In this embodiment, the operation and maintenance management system can also display risk management plans corresponding to each risk type. In response to a trigger operation for a specific risk management plan, a corresponding plan execution interface is displayed, showing the execution information of that risk management plan. In this example, operation and maintenance personnel can also view the risk management plan corresponding to each risk type and the execution information of each risk management plan through the operation and maintenance management system. This allows them to understand the execution and resolution status of each risk, improve risk management capabilities, and, based on the execution information, follow up and urge the rapid execution of risk management plans, accelerating risk resolution and improving risk management efficiency.

[0083] In one exemplary embodiment, such as Figure 4 As shown, the above method may further include steps 401 to 402. Wherein:

[0084] Step 401: For each risk type, determine the corresponding risk statistics based on the risk analysis results.

[0085] The risk statistics may include, but are not limited to, the number of risks corresponding to different risk levels, the number of risks corresponding to different regions, the number of unprocessed risks, the number of risks being processed, and the number of risks that have been completed. For example, for each risk type, the number of unprocessed risks, the number of risks being processed, and the number of risks that have been completed can be determined based on the risk analysis results corresponding to the risk type and the execution information of each risk management plan corresponding to the risk type.

[0086] For example, regarding power grid risks, the displayed risk statistics may include, but are not limited to: total number, equipment (critical and important lines), special sections, anticipated measures, defects and hidden dangers, number of plans involved, operational risks, completion status of inspection plans, completion status of rectification plans, plan control status, rectification, and on-site control status, etc. Additionally, it may include specific handling information, such as number, release time, risk name, risk level, duration, affected lines, responsible department for risk control, trees and bamboo, lightning protection grounding facilities, pollution sources, wildfires, hanging objects, icing, hardware overheating, external damage hazards, landslide risk, number of plans involved, operational risks, rectification plans, plan control status, rectification, on-site control status, conclusion (1. Risk control (yes / no) meets requirements. 2. If no, explain the reason), etc.

[0087] For example, regarding equipment risks, the displayed risk statistics may include, but are not limited to: total number, equipment (critical and important lines), special sections, anticipated measures, defects and hidden dangers, number of plans involved, operational risks, rectification plans, plan control status, rectification, and implementation control status. Additionally, it can display the number and information of alarms according to types such as visualization, status, tripping, and heavy overload. This includes displaying detailed alarm information, video alarm display images, status alarm display charts, displaying corresponding special sections and corresponding assessment criteria, corresponding danger points in special sections, automatic alarm information filtering (function), displaying filtering reasons, confirmation, and handling status. Furthermore, after pushing the risk management plan corresponding to equipment risks to the risk management platform, the alarm management closed-loop status can also be displayed, such as alarm handling, inspection plan completion status, and reminders for various unscheduled or overdue plans. Specific risk information may include, but is not limited to: alarm number, alarm time, alarm reason, alarm source, affected route, responsible department for alarm management, trees / bamboo, lightning, pollution sources, wildfires, hanging objects, icing, hardware overheating, external damage hazards, landslide risk, number of plans involved, operational risk, rectification plan in place, plan management status, rectification, management status, and conclusion (1. Alarm handling and management (yes / no) meet requirements. 2. If no, explain the reason).

[0088] For example, regarding environmental risks, the displayed risk statistics may include, but are not limited to: total number, equipment (critical and important lines), special sections, anticipated measures, defects and hidden dangers, number of plans involved, operational risks, and plan control status. It can also display the number of alarms in red, orange, yellow, blue, and no warning categories, categorized by low temperature freezing, heavy rain, thunderstorms, high temperature, and strong winds. Furthermore, after the risk control plan corresponding to the environmental risk is pushed to the risk control platform, the risk closure status can also be displayed, such as the completion status of inspection plans, rectification, and implementation plans, as well as various un-arranged and overdue reminders. Moreover, risk handling information can also be displayed, such as number, release time, risk name, risk level, duration, affected lines, responsible department for risk control, trees and bamboo, crossings, lightning protection grounding facilities, pollution sources, wildfires, hanging objects, icing, hardware overheating, external damage hazards, geological hazards, number of plans involved (including newly added and adjusted plans), operational risks, plan control status, and conclusions (1. Risk control (yes / no) meets requirements; 2. If no, explain the reasons).

[0089] For example, the displayed risk statistics for operational risks may include, but are not limited to: total number, equipment (critical lines), operation type (inspection, maintenance, testing, acceptance, others), anticipated measures, number of plans involved, inspection plans, on-site control plans, plan control status, (personnel qualifications, safety supervision). It can also display the quantity and details by risk number, operation type (inspection, maintenance, testing, acceptance, others), inspection, and on-site plans. Furthermore, after the risk control plan corresponding to the operational risk is pushed to the risk control platform, the risk execution status can also be displayed, such as the completion status of inspection and on-site plans, and reminders for unarranged or overdue plans. Moreover, risk handling information can also be displayed, including operation time, risk name (operation), risk level (requires improvement of the source system), duration, affected lines, risk control responsible department, number of plans involved (including new plan adjustments), operational risk execution status, inspection and on-site plan control status, and conclusions (1. Risk control (yes / no) meets requirements; 2. If no, explain the reasons).

[0090] For example, in response to public safety risks, detailed information on various densely populated areas and public areas that may pose safety risks to the public can be displayed, and control suggestions and verification of the current control situation can be generated intelligently.

[0091] Step 402: Display risk statistics information.

[0092] In this embodiment, for different types of risks, the monitored risks can be statistically analyzed and the statistical information of different types of risks can be displayed, providing the basis for risk management for operation and maintenance personnel. This enables operation and maintenance personnel to grasp and understand the risk status of transmission lines in real time, realize efficient risk management of transmission lines, and thus improve the efficiency and effectiveness of risk management of transmission lines.

[0093] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0094] Based on the same inventive concept, this application also provides a risk management device for transmission lines to implement the aforementioned risk management method. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the risk management device for transmission lines provided below can be found in the limitations of the risk management method for transmission lines described above, and will not be repeated here.

[0095] In one exemplary embodiment, such as Figure 5 As shown, a risk management device for transmission lines is provided, comprising: an acquisition module 501, an analysis module 502, a generation module 503, and a management module 504, wherein:

[0096] The acquisition module 501 is used to acquire real-time monitoring data related to transmission lines; the real-time monitoring data includes monitoring data corresponding to various risk types.

[0097] Analysis module 502 is used to call the preset risk analysis model corresponding to the risk type, analyze the monitoring data corresponding to the risk type, and output the risk analysis results corresponding to the risk type; the risk analysis results include at least the risk level.

[0098] The generation module 503 is used to generate risk management plans corresponding to risk types based on risk levels and a preset risk management measures library.

[0099] The control module 504 is used to push the risk control plan to the risk control platform to instruct the risk control platform to perform risk management and monitoring.

[0100] In one embodiment, the risk type includes at least one of power grid risk, equipment risk, environmental risk, operational risk, and public safety risk.

[0101] In one embodiment, the preset risk control measures library includes risk control measures libraries corresponding to each risk type. The generation module 503 is specifically used to determine the risk control measures corresponding to the risk type from the risk control measures library corresponding to the risk type; and generate a risk control plan corresponding to the risk type based on the risk control measures.

[0102] In one embodiment, the device further includes:

[0103] The first display module is used to showcase the risk management plans corresponding to the risk types.

[0104] The trigger module is used to respond to trigger operations on the risk management plan and display the plan execution interface; the plan execution interface displays the execution information of the risk management plan.

[0105] In one embodiment, the triggering module is specifically used to receive execution information of the risk management plan from the risk management platform; and based on the execution information, to generate and display the plan execution interface.

[0106] In one embodiment, the device further includes:

[0107] The determination module is used to determine the risk statistics information corresponding to each risk type based on the risk analysis results of that risk type.

[0108] The second display module is used to display risk statistics information.

[0109] Each module in the aforementioned risk management device for transmission lines can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0110] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a risk management method for power transmission lines. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0111] Those skilled in the art will understand that Figure 6The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0112] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the risk management method for transmission lines in any of the above embodiments.

[0113] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the risk management method for transmission lines in any of the above embodiments.

[0114] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the risk management method for transmission lines in any of the above embodiments.

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

[0116] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile 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. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0117] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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 specification.

[0118] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A risk management method for power transmission lines, characterized in that, An operation and maintenance management system for power transmission lines, the method comprising: Acquire real-time monitoring data related to the transmission line; the real-time monitoring data includes monitoring data corresponding to various risk types; The system invokes a preset risk analysis model corresponding to the risk type, analyzes the monitoring data corresponding to the risk type, and outputs the risk analysis results corresponding to the risk type; the risk analysis results include at least the risk level. Based on the risk level and the preset risk control measures library, a risk control plan corresponding to the risk type is generated; The risk management plan is pushed to the risk management platform to instruct the platform to manage and monitor the risks.

2. The method according to claim 1, characterized in that, The risk types include at least one of the following: power grid risk, equipment risk, environmental risk, operational risk, and public safety risk.

3. The method according to claim 1 or 2, characterized in that, The preset risk management measures library includes risk management measures libraries corresponding to each of the aforementioned risk types. The step of generating a risk management plan corresponding to each risk type based on the risk level and the preset risk management measures library includes: Determine the risk control measures corresponding to the risk type from the risk control measure library corresponding to the risk type; Based on the aforementioned risk management measures, a risk management plan corresponding to the aforementioned risk type is generated.

4. The method according to claim 1, characterized in that, The method further includes: Show the risk management plan corresponding to the risk type; In response to a triggered operation on the risk management plan, a plan execution interface is displayed; the plan execution interface displays the execution information of the risk management plan.

5. The method according to claim 4, characterized in that, The display plan execution interface includes: Receive execution information of the risk management plan from the risk management platform; Based on the execution information, the planned execution interface is generated and displayed.

6. The method according to claim 1, characterized in that, The method further includes: For each of the aforementioned risk types, risk statistics are determined based on the risk analysis results corresponding to that risk type. Display the aforementioned risk statistics.

7. A risk management device for power transmission lines, characterized in that, An operation and maintenance management system for power transmission lines, the device comprising: The acquisition module is used to acquire real-time monitoring data related to the transmission line; the real-time monitoring data includes monitoring data corresponding to various risk types; The analysis module is used to call the preset risk analysis model corresponding to the risk type, analyze the monitoring data corresponding to the risk type, and output the risk analysis result corresponding to the risk type; the risk analysis result includes at least the risk level. The generation module is used to generate a risk management plan corresponding to the risk type based on the risk level and a preset risk management measures library; The control module is used to push the risk control plan to the risk control platform to instruct the risk control platform to perform risk management and monitoring.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

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

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

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