Visual video monitoring management system, device and equipment for operation of power distribution network

Abstract

The invention relates to the technical field of power distribution network operation management, and particularly discloses a power distribution network operation visual video monitoring management system, a power distribution network operation visual video monitoring management device and power distribution network operation visual video monitoring management equipment. The method solves the problems that the operation efficiency of the power distribution network is limited to research, and analysis and improvement of the environment state, the equipment state and the voltage and current state of the power distribution network through visual equipment are neglected, the decision accuracy and the real-time performance are improved, the quick response capability of the power distribution network is improved through real-time monitoring and visual analysis, and the power distribution network operation efficiency is improved. The method is beneficial for identifying the long-term trend of the environment state, the equipment state and the voltage and current state of the power distribution network, improving the working efficiency, optimizing the operation of the power grid, reducing the energy waste, improving the overall performance of the power distribution system, reducing the failure rate, prolonging the service life of the equipment and reducing the maintenance cost.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network operation management, and in particular to a distribution network operation visualized video monitoring management system, device and equipment. Background Art

[0002] With the growth of energy demand and changes in the energy supply structure, the safe and stable operation of the distribution network is crucial to energy security. The visual video surveillance system can monitor the operating status of distribution network equipment in real time, detect problems in time and take measures to improve the safety and reliability of the distribution network. With the development of smart grids, distribution networks need more intelligent monitoring and management systems. The visual video surveillance system can combine artificial intelligence, big data analysis and other technologies to achieve intelligent monitoring and predictive maintenance of distribution network equipment, improve operating efficiency and management level. The monitoring data and management information of distribution network equipment are becoming increasingly large, and traditional management methods can no longer meet the needs. The visual video surveillance system can visualize the data to help managers understand the operation of distribution network equipment more intuitively, improve management efficiency and decision-making level. Failures and accidents of distribution network equipment may have serious impacts on production and life. Therefore, safe production is the primary task of distribution network management. The visual video surveillance system can help timely discover potential risks and hidden dangers, give early warnings and take measures to ensure the safe operation of distribution network equipment.

[0003] For example, the invention patent with announcement number CN110599060B discloses a method, device and equipment for determining the operating efficiency of a distribution network. A method for determining the operating efficiency of a distribution network includes collecting the operating data of each device in the distribution network, and correcting the abnormal conditions in the operating data to eliminate the abnormal conditions; and performing efficiency calculations based on the operating data to obtain the equipment operating efficiency and system operating efficiency of the distribution network; storing and displaying the equipment operating efficiency and system operating efficiency based on visualization tools. In this application, the operating data of each device in the entire distribution network is collected in real time, and the operating data is corrected to ensure the availability of the operating data; and on this basis, the equipment operating efficiency and system operating efficiency of the entire distribution network are obtained, which can display the operating status of the distribution network to the user in real time and intuitively, ensuring the accuracy of the operating efficiency, and providing convenience for users to understand and manage the operating status of the distribution network. This application also provides a device and equipment for determining the operating efficiency of a distribution network, which has the above-mentioned beneficial effects.

[0004] Nowadays, there are still some shortcomings in the research on the visual video monitoring management system for distribution network operation. Specifically, it is limited to the research on the operation efficiency of the distribution network, and ignores the analysis and improvement of the environmental status, equipment status and voltage and current status of the distribution network through visualization equipment. The lack of visualization equipment makes it impossible for managers to intuitively understand the real-time status and performance of the distribution network, which may lead to inaccurate or delayed decisions. Without real-time monitoring and visualization analysis, managers may not be able to detect potential problems or abnormal situations in time, affecting the ability to respond quickly to the distribution network. Lack of visualization data analysis makes it difficult for managers to identify the long-term trends of the environmental status, equipment status and voltage and current status of the distribution network, affecting the planning and prediction of future development. Without the support of visualization equipment, managers may need to spend more time and energy to manually collect and analyze data, reducing work efficiency. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a distribution network operation visualized video monitoring management system, device, and equipment, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a distribution network operation visualization video monitoring management system, including a distribution network status data set acquisition module, a distribution network operation comparison prompt module and a distribution network operation status remote control module, wherein: the distribution network status data set acquisition module is used to acquire a distribution network operation status video monitoring screen data set and a distribution network voltage and current status curve through a visualization interface; the distribution network operation comparison prompt module is used to obtain a distribution network operation status video monitoring screen evaluation value based on the acquired distribution network operation status video monitoring screen data set analysis, prompt the distribution network operation status, and compare and prompt the distribution network voltage and current status based on the acquired distribution network voltage and current status data set; the distribution network operation status remote control module is used to remotely control the distribution network operation status based on the comparison result of the distribution network operation status video monitoring screen evaluation value and the distribution network voltage and current status.

[0007] As a further solution, the distribution network status data set acquisition module includes a distribution network operation status video monitoring screen data acquisition unit and a distribution network voltage and current status curve acquisition unit.

[0008] As a further solution, a distribution network operation status video monitoring screen data acquisition unit, the specific analysis process is: the distribution network operation status video monitoring screen data acquisition unit is used to obtain the distribution network operation status video monitoring screen data set based on the distribution network video monitoring screen; the distribution network operation status video monitoring screen data set specifically includes distribution network environment operation status video monitoring screen data and distribution network equipment operation status video monitoring screen data, wherein the distribution network environment operation status video monitoring screen data includes the current distribution network environment temperature monitored by the temperature sensor, the current distribution network environment humidity monitored by the humidity sensor, and the current distribution network environment smoke concentration monitored by the smoke concentration sensor; the distribution network equipment operation status video monitoring screen data includes the proportion of normal operating equipment in the distribution network under the video monitoring screen, the longest continuous operation time of the distribution network equipment under the video monitoring screen, and the power display screen under the video monitoring screen displays the current operating power of the distribution network equipment.

[0009] As a further solution, a distribution network voltage and current state curve acquisition unit, the specific analysis process is: the distribution network voltage and current state curve acquisition unit is used to obtain the distribution network voltage and current state curve through a visual interface; the distribution network voltage and current state curve specifically includes a distribution network voltage state curve and a distribution network current state curve.

[0010] As a further solution, based on the obtained distribution network operation status video monitoring screen data set, the distribution network operation status video monitoring screen evaluation value is obtained. The specific analysis process is:

[0011]

[0012] Wherein, ω is the evaluation value of the video surveillance screen of the distribution network operation status, ω1 is the evaluation value of the video surveillance screen of the distribution network environment operation status, ω2 is the evaluation value of the video surveillance screen of the distribution network equipment operation status, μ1 is the set weight factor of the video surveillance screen evaluation value of the distribution network environment operation status, and μ2 is the set weight factor of the video surveillance screen evaluation value of the distribution network equipment operation status; the video surveillance screen evaluation value of the distribution network operation status is obtained based on a comprehensive analysis of the video surveillance screen data of the distribution network environment operation status and the video surveillance screen data of the distribution network equipment operation status, and the video surveillance screen evaluation value of the distribution network operation status is used as the analysis basis for prompting the operation status of the distribution network.

[0013] As a further solution, a prompt is given for the operating status of the distribution network. The specific analysis process is: obtain an evaluation value of the distribution network operating status video surveillance picture, and compare the evaluation value of the distribution network operating status video surveillance picture with a reference evaluation value of the distribution network operating status video surveillance picture stored in a database; if the evaluation value of the distribution network operating status video surveillance picture is higher than or equal to the reference evaluation value of the distribution network operating status video surveillance picture stored in the database, the operating status of the distribution network is marked as good; if the evaluation value of the distribution network operating status video surveillance picture is lower than the reference evaluation value of the distribution network operating status video surveillance picture stored in the database, the operating status of the distribution network is marked as bad, and a bad prompt is given for the distribution network operating status.

[0014] As a further solution, a comparison and prompt of the voltage and current state of the distribution network is performed based on the obtained distribution network voltage and current state curve. The specific analysis process is: obtain the distribution network voltage state curve and the distribution network current state curve, and compare the distribution network voltage state curve and the distribution network current state curve with the distribution network voltage state reference curve and the distribution network current state reference curve stored in the database respectively; perform overlap verification on the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database to obtain the overlap ratio of the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database, record the overlap ratio of the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database as the distribution network voltage state curve overlap ratio, and compare the distribution network voltage state curve overlap ratio with the distribution network voltage state curve reference overlap ratio stored in the database; if the distribution network voltage state curve overlap ratio is higher than or equal to the distribution network voltage state curve reference overlap ratio stored in the database, the distribution network voltage state is marked as good; if the distribution network If the voltage state curve overlap ratio is lower than the distribution network voltage state curve reference overlap ratio stored in the database, the distribution network voltage state is marked as bad, and a bad prompt is issued for the distribution network voltage state; the distribution network current state curve and the distribution network current state reference curve stored in the database are overlapped and checked to obtain the overlap ratio of the distribution network current state curve and the distribution network current state reference curve stored in the database, and the overlap ratio of the distribution network current state curve and the distribution network current state reference curve stored in the database is recorded as the distribution network current state curve overlap ratio, and the distribution network current state curve overlap ratio is compared with the distribution network current state curve reference overlap ratio stored in the database; if the distribution network current state curve overlap ratio is higher than or equal to the distribution network current state curve reference overlap ratio stored in the database, the distribution network current state is marked as good, and if the distribution network current state curve overlap ratio is lower than the distribution network current state curve reference overlap ratio stored in the database, the distribution network current state is marked as bad, and a bad prompt is issued for the distribution network current state.

[0015] As a further solution, the operation status of the distribution network is remotely controlled based on the comparison results of the evaluation value of the distribution network operation status video monitoring picture and the voltage and current status of the distribution network. The specific analysis process is: when there is a bad state among the distribution network operation status, the distribution network voltage status and the distribution network current status, the operation status of the distribution network is remotely controlled; the evaluation value of the distribution network operation status video monitoring picture, the overlap ratio of the distribution network voltage status curve and the overlap ratio of the distribution network current status curve are obtained; the evaluation value of the distribution network operation status video monitoring picture, the overlap ratio of the distribution network voltage status curve and the overlap ratio of the distribution network current status curve are imported into the distribution network operation status optimization model to obtain the distribution network operation status optimization characteristic value; the distribution network operation status optimization characteristic value output by the distribution network operation status optimization model is obtained, the distribution network operation status optimization characteristic value is compared with the distribution network operation status optimization scheme corresponding to each distribution network operation status optimization characteristic value stored in the database, and the distribution network operation status is remotely controlled based on the distribution network operation status optimization scheme corresponding to the distribution network operation status optimization characteristic value.

[0016] As a further solution, the distribution network operation visual video monitoring management device includes a distribution network status data set acquisition module, a distribution network operation comparison prompt module and a distribution network operation status remote control module, wherein: the distribution network status data set acquisition module is used to acquire the distribution network operation status video monitoring screen data set and the distribution network voltage and current status curve through a visual interface; the distribution network operation comparison prompt module is used to obtain the distribution network operation status video monitoring screen evaluation value based on the acquired distribution network operation status video monitoring screen data set analysis, prompt the distribution network operation status, and compare and prompt the distribution network voltage and current status based on the acquired distribution network voltage and current status data set; the distribution network operation status remote control module is used to remotely control the distribution network operation status based on the comparison result of the distribution network operation status video monitoring screen evaluation value and the distribution network voltage and current status.

[0017] As a further solution, a distribution network operation visual video monitoring and management device includes a processor and a memory and a network interface connected to the processor. The network interface is connected to a non-volatile memory in a server. When running, the processor retrieves a computer program from the non-volatile memory through the network interface and runs the computer program through the memory to execute the above system.

[0018] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a visual video monitoring and management system for distribution network operation, analyzes and improves the environmental status of the distribution network through visualization equipment, improves the real-time monitoring capability of the environmental status of the distribution network, promptly detects abnormal conditions, and helps prevent the occurrence of potential faults. By analyzing the environmental status of the distribution network through visualization equipment, the work efficiency of operation and maintenance personnel can be improved, problems can be quickly located and corresponding measures can be taken, remote monitoring and management of the distribution network can be achieved, the workload of manual inspections can be reduced, and the intelligent level of operation and maintenance can be improved. Through the video monitoring system, the safety of the distribution network can be effectively managed to ensure the safety of equipment and personnel. The operating stability and reliability of the distribution network can also be improved, the overall performance of the distribution system can be improved, the failure rate can be reduced, and the life of the equipment can be extended.

[0019] (2) The present invention analyzes and improves the status of distribution network equipment through visualization equipment. By real-time monitoring of the equipment status, equipment abnormalities can be discovered in time, improving the efficiency of fault detection and processing. The visualization equipment can collect a large amount of data and conduct in-depth analysis of the equipment status to help operation and maintenance personnel understand the equipment operation status, predict potential faults, and take corresponding measures. By analyzing the equipment status through visualization equipment, the cause of the fault can be located more quickly and accurately, and the efficiency of fault diagnosis and elimination can be improved. The visualization equipment provides intuitive equipment status information to help operation and maintenance personnel quickly understand the equipment status and improve operation and maintenance efficiency and work quality. Timely monitoring of equipment status can reduce the risk of equipment failure, improve the safety of the distribution network, and ensure the safety of equipment and personnel. By analyzing the equipment status, a more scientific and reasonable equipment maintenance plan can be formulated to extend the equipment life and reduce maintenance costs.

[0020] (3) The present invention analyzes and improves the voltage and current status of the distribution network through visualization equipment. The visualization equipment can monitor the voltage and current status of the distribution network in real time, and promptly discover abnormal conditions such as voltage fluctuations and current overloads. By conducting in-depth analysis of voltage and current data, it can help optimize the operation of the power grid. By analyzing the voltage and current status, it can predict potential fault risks, take timely measures to prevent the occurrence of faults, and improve the reliability of the distribution network. By analyzing the voltage and current status, load balancing can be achieved, the operation of the power grid can be optimized, energy waste can be reduced, and power supply efficiency can be improved. By analyzing the voltage and current status through visualization equipment, the fault point can be quickly located, and the efficiency of fault diagnosis and processing can be improved. Timely monitoring of the voltage and current status helps to improve the safety of the power grid, ensure the safety of equipment and personnel, and reduce the risk of accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0022] Figure 1 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] See also Figure 1 The embodiment of the present invention provides a technical solution: a distribution network operation visual video monitoring and management system, including a distribution network status data set acquisition module, a distribution network operation comparison prompt module and a distribution network operation status remote control module.

[0025] The distribution network status data set acquisition module is used to obtain the distribution network operation status video monitoring screen data set and the distribution network voltage and current status curve through a visual interface.

[0026] Specifically, the distribution network status data set acquisition module includes a distribution network operation status video monitoring screen data acquisition unit and a distribution network voltage and current status curve acquisition unit.

[0027] Furthermore, the distribution network operation status video monitoring screen data acquisition unit has a specific analysis process as follows: the distribution network operation status video monitoring screen data acquisition unit is used to acquire the distribution network operation status video monitoring screen data set based on the distribution network video monitoring screen; the distribution network operation status video monitoring screen data set specifically includes the distribution network environment operation status video monitoring screen data and the distribution network equipment operation status video monitoring screen data, wherein the distribution network environment operation status video monitoring screen data includes the current distribution network environment temperature monitored by the temperature sensor, the current distribution network environment humidity monitored by the humidity sensor, and the current distribution network environment smoke concentration monitored by the smoke concentration sensor. The current distribution network environment temperature monitored by the temperature sensor indicates the temperature level of the current environment, which can be used to evaluate whether the working environment of the distribution equipment is within a safe range. Too high or too low temperature may affect the performance and life of the equipment. The current distribution network environment humidity monitored by the humidity sensor indicates the humidity level of the current environment, which can be used to evaluate whether the working environment of the distribution equipment is suitable. Too high or too low humidity may cause problems such as moisture in the equipment and reduced insulation performance. The current distribution network environment smoke concentration monitored by the smoke concentration sensor indicates the smoke in the current environment. The concentration level can be used to assess whether there is a fire risk. High concentrations of smoke may indicate that a fire has occurred or is about to occur, and timely measures should be taken for emergency treatment. The video monitoring screen data of the operating status of distribution network equipment includes the proportion of normal operating equipment in the distribution network under the video monitoring screen, the longest continuous operation time of distribution network equipment under the video monitoring screen, and the power display screen under the video monitoring screen displays the current operating power of distribution network equipment. The proportion of normal operating equipment in the distribution network under the video monitoring screen indicates the proportion of normal operating equipment in the distribution network displayed under the monitoring screen. This can be used to evaluate the operating status of equipment in the entire distribution network, discover abnormal equipment in time, and monitor and evaluate the normal operation of equipment. The longest continuous operation time of distribution network equipment under the video monitoring screen indicates the longest time that a certain equipment has been running continuously among the distribution network equipment displayed under the monitoring screen. This can help monitoring personnel understand the operating stability and durability of the equipment and perform maintenance and replacement in time. The power display screen under the video monitoring screen displays the current operating power of distribution network equipment, which indicates the current power level of distribution network equipment displayed under the monitoring screen. This can help monitoring personnel understand the load of the equipment and adjust the grid operation status in time to ensure that the equipment operates in a safe and efficient state.

[0028] Specifically, the distribution network voltage and current state curve acquisition unit has a specific analysis process as follows: the distribution network voltage and current state curve acquisition unit is used to obtain the distribution network voltage and current state curve through a visual interface; the distribution network voltage and current state curve specifically includes the distribution network voltage state curve and the distribution network current state curve.

[0029] The distribution network operation comparison and prompt module is used to obtain a distribution network operation status video monitoring screen evaluation value based on the obtained distribution network operation status video monitoring screen data set analysis, to prompt the distribution network operation status, and to compare and prompt the distribution network voltage and current status based on the obtained distribution network voltage and current status data set.

[0030] Specifically, based on the obtained distribution network operation status video monitoring screen data set, the distribution network operation status video monitoring screen evaluation value is obtained. The specific analysis process is as follows: The distribution network operation status video monitoring screen evaluation value specific analysis process is as follows:

[0031]

[0032] Wherein, ω is the evaluation value of the video surveillance screen of the distribution network operation status, ω1 is the evaluation value of the video surveillance screen of the distribution network environment operation status, ω2 is the evaluation value of the video surveillance screen of the distribution network equipment operation status, μ1 is the set weight factor of the video surveillance screen evaluation value of the distribution network environment operation status, and μ2 is the set weight factor of the video surveillance screen evaluation value of the distribution network equipment operation status; the video surveillance screen evaluation value of the distribution network operation status is obtained based on a comprehensive analysis of the video surveillance screen data of the distribution network environment operation status and the video surveillance screen data of the distribution network equipment operation status, and the video surveillance screen evaluation value of the distribution network operation status is used as the analysis basis for prompting the operation status of the distribution network.

[0033] It needs to be explained that the evaluation value of the distribution network operation status video surveillance picture can not only be calculated by the above method, but also can be further analyzed by machine learning integration model. The prediction results of multiple basic models are combined using integration methods such as Gradient Boosting Machine or random forest to obtain a more accurate evaluation value of the distribution network operation status video surveillance picture. The above distribution network operation status video surveillance picture evaluation value is obtained by analyzing the distribution network operation status video surveillance picture data set, and comprehensively analyzing the distribution network environment operation status video surveillance picture data and the distribution network equipment operation status video surveillance picture data. The video surveillance picture provides real-time visual information, which can help operation and maintenance personnel monitor the distribution network environment and equipment operation status in real time, discover abnormal situations in time, and facilitate rapid response and handling of problems. Through the comprehensive analysis of video surveillance picture data, it is possible to more accurately diagnose possible problems in the distribution network. Problems and failures, combined with the status of the environment and equipment, can help determine the cause of the failure and carry out targeted repairs. Video footage that monitors the distribution network environment and equipment can improve the security of the system, detect abnormal situations in a timely manner, avoid potential safety risks, and ensure the safety of equipment and personnel. Through comprehensive analysis of video surveillance data, a large amount of real-time monitoring data can be accumulated. This data can be used for subsequent data mining and analysis to provide a reference for the optimization and improvement of the distribution network. Video surveillance footage can help remote managers monitor the operating status of the distribution network without on-site inspections, which can improve operation and maintenance efficiency, reduce labor costs, and ensure the normal operation of the distribution network.

[0034] In a specific embodiment, the distribution network environment operation status video monitoring screen evaluation value is used to evaluate the distribution network environment operation status under the video monitoring screen, as an analysis basis for prompting the distribution network operation status, the distribution network environment operation status video monitoring screen evaluation value can not only be further analyzed by the machine learning integration model, using Gradient Boosting Machine or random forest, combining the prediction results of multiple basic models to obtain a more accurate distribution network environment operation status video monitoring screen evaluation value, but also can be calculated in the following way, the calculation formula of the distribution network environment operation status video monitoring screen evaluation value is:

[0035]

[0036] Wherein, ω1 is the evaluation value of the video monitoring screen of the distribution network environment operation status, WD is the current distribution network environment temperature monitored by the temperature sensor, SD is the current distribution network environment humidity monitored by the humidity sensor, ND is the current distribution network environment smoke concentration monitored by the smoke concentration sensor, WD0 is the distribution network environment reference temperature stored in the database, SD0 is the distribution network environment reference humidity stored in the database, ND0 is the distribution network environment defined smoke concentration stored in the database, σ1 is the compensation factor of the current distribution network environment temperature monitored by the temperature sensor, σ2 is the compensation factor of the current distribution network environment humidity monitored by the humidity sensor, and σ3 is the compensation factor of the current distribution network environment smoke concentration monitored by the smoke concentration sensor.

[0037] It needs to be explained that the evaluation value of the above-mentioned distribution network environment operation status video monitoring screen is calculated based on the current distribution network environment temperature monitored by the temperature sensor, the current distribution network environment humidity monitored by the humidity sensor, and the current distribution network environment smoke concentration monitored by the smoke concentration sensor. By comprehensively considering factors such as the current distribution network environment temperature monitored by the temperature sensor, the current distribution network environment humidity monitored by the humidity sensor, and the current distribution network environment smoke concentration monitored by the smoke concentration sensor, and by comprehensively considering the environmental parameters monitored by multiple sensors, the environmental status of the distribution network can be more comprehensively evaluated. Not only can the situation of single parameters such as temperature and humidity be understood, but also the impact of multiple factors on the distribution network environment can be comprehensively considered. Comprehensive consideration of multiple factors can improve the accuracy of the evaluation value. Different sensors monitor The measured parameters confirm each other, which can reduce errors and subjective factors and improve the reliability of the evaluation results. By comprehensively considering multiple factors, abnormal conditions in the distribution network environment can be discovered more promptly. For example, abnormal temperature rise may cause equipment overheating, abnormal humidity may cause insulation problems, abnormal smoke concentration may indicate fire risks, etc. Comprehensive consideration can provide early warning and take measures. When the distribution network environment is abnormal, comprehensive consideration of multiple factors can help diagnose the cause of the problem more accurately. For example, temperature rise may be related to abnormal humidity, and abnormal smoke concentration may be due to fire and other reasons. Comprehensive consideration can locate and solve the problem more quickly. Comprehensive consideration of environmental parameters monitored by multiple sensors can provide more data for subsequent analysis and optimization, which can help optimize the operation strategy of the distribution network and improve the overall operation efficiency and stability.

[0038] In a specific embodiment, the distribution network equipment operation status video monitoring screen evaluation value is used to evaluate the distribution network equipment operation status under the video monitoring screen, as an analysis basis for prompting the distribution network operation status, the distribution network equipment operation status video monitoring screen evaluation value can not only be further analyzed by the machine learning integration model, using AdaBoost or random forest, combining the prediction results of multiple basic models to obtain a more accurate distribution network equipment operation status video monitoring screen evaluation value, but also can be calculated in the following way, the calculation formula of the distribution network equipment operation status video monitoring screen evaluation value is:

[0039]

[0040] Wherein, ω2 is the evaluation value of the video monitoring screen of the operating status of the distribution network equipment, BL is the proportion of the normal operating equipment of the distribution network under the video monitoring screen, ST is the longest continuous operation time of the distribution network equipment under the video monitoring screen, SP is the current operating power of the distribution network equipment displayed on the power display screen under the video monitoring screen, ST0 is the reference time of continuous operation of the distribution network equipment stored in the database, SP0 is the reference operating power of the distribution network equipment stored in the database, τ1 is the compensation factor of the proportion of the normal operating equipment of the distribution network under the set video monitoring screen, τ2 is the compensation factor of the longest continuous operation time of the distribution network equipment under the set video monitoring screen, τ3 is the compensation factor of the current operating power of the distribution network equipment displayed on the power display screen under the set video monitoring screen, and e is a natural constant.

[0041] It needs to be explained that the evaluation value of the above-mentioned distribution network equipment operation status video surveillance screen is calculated by the proportion of normal operating equipment in the distribution network under the video surveillance screen, the longest continuous operation time of the distribution network equipment under the video surveillance screen, and the power display screen under the video surveillance screen showing the current operating power of the distribution network equipment. Taking into account factors such as the proportion of normal operating equipment in the distribution network under the video surveillance screen, the longest continuous operation time of the distribution network equipment under the video surveillance screen, and the power display screen under the video surveillance screen, a comprehensive consideration of multiple factors can more comprehensively evaluate the overall operation status of the distribution network equipment, not only focusing on the normal operation proportion of the equipment, but also considering parameters such as the continuous operation time of the equipment and the current operating power, which is helpful to fully understand the operation of the equipment. Comprehensive consideration of multiple factors can improve the accuracy of the evaluation value. Accuracy, comprehensive analysis of different factors can reduce the error caused by a single parameter and more accurately reflect the actual operation of distribution network equipment. By comprehensively considering multiple factors, abnormal conditions of distribution network equipment can be discovered more promptly. For example, continuous operation of equipment for too long may cause equipment overheating, and abnormal power fluctuations may indicate equipment failure. Comprehensive consideration can detect problems in advance and take corresponding measures. When distribution network equipment is abnormal, comprehensive consideration of multiple factors can help diagnose the cause of the problem more accurately. By analyzing parameters such as the normal operation ratio, operating time and power of the equipment, the problem can be located and solved more quickly. Comprehensive consideration of multiple factors can provide more data for subsequent analysis and optimization, which can help optimize the operation strategy of distribution network equipment, improve overall operation efficiency and reliability, and reduce the possibility of failures.

[0042] Furthermore, a prompt is given for the operating status of the distribution network, and the specific analysis process is: obtain an evaluation value of the distribution network operating status video surveillance picture, and compare the evaluation value of the distribution network operating status video surveillance picture with a reference evaluation value of the distribution network operating status video surveillance picture stored in a database; if the evaluation value of the distribution network operating status video surveillance picture is higher than or equal to the reference evaluation value of the distribution network operating status video surveillance picture stored in the database, the operating status of the distribution network is marked as good; if the evaluation value of the distribution network operating status video surveillance picture is lower than the reference evaluation value of the distribution network operating status video surveillance picture stored in the database, the operating status of the distribution network is marked as bad, and a bad prompt is given for the distribution network operating status.

[0043] It should be noted that by comparing the evaluation value of the distribution network operation status video surveillance screen with the reference evaluation value stored in the database, it is possible to promptly discover whether the distribution network operation status is normal. If the evaluation value is lower than the reference value, the problem can be quickly discovered, and the distribution network operation status can be marked as bad and a bad prompt can be issued, which can help operation and maintenance personnel realize the existence of the problem and take measures to repair it, thereby avoiding potential accidents. Evaluating and marking the distribution network operation status in an automated manner can save manual review time and improve efficiency. Operation and maintenance personnel can understand the operation status of the distribution network more quickly, perform targeted processing, and record changes in the distribution network operation status, which will help with subsequent data analysis and troubleshooting, and can help optimize the distribution network operation strategy and improve overall operation efficiency and stability.

[0044] Specifically, the voltage and current state of the distribution network is compared and prompted based on the obtained distribution network voltage and current state curve, and the specific analysis process is: obtain the distribution network voltage state curve and the distribution network current state curve, and compare the distribution network voltage state curve and the distribution network current state curve with the distribution network voltage state reference curve and the distribution network current state reference curve stored in the database respectively; perform overlap verification on the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database to obtain the overlap ratio of the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database, record the overlap ratio of the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database as the distribution network voltage state curve overlap ratio, and compare the distribution network voltage state curve overlap ratio with the distribution network voltage state curve reference overlap ratio stored in the database; if the distribution network voltage state curve overlap ratio is higher than or equal to the distribution network voltage state curve reference overlap ratio stored in the database, the distribution network voltage state is marked as good; if the distribution network voltage If the state curve overlap ratio is lower than the reference overlap ratio of the distribution network voltage state curve stored in the database, the distribution network voltage state is marked as bad, and a bad prompt is issued for the distribution network voltage state; the distribution network current state curve and the distribution network current state reference curve stored in the database are overlapped and checked to obtain the overlap ratio of the distribution network current state curve and the distribution network current state reference curve stored in the database, and the overlap ratio of the distribution network current state curve and the distribution network current state reference curve stored in the database is recorded as the distribution network current state curve overlap ratio, and the distribution network current state curve overlap ratio is compared with the distribution network current state curve reference overlap ratio stored in the database; if the distribution network current state curve overlap ratio is higher than or equal to the distribution network current state curve reference overlap ratio stored in the database, the distribution network current state is marked as good, and if the distribution network current state curve overlap ratio is lower than the distribution network current state curve reference overlap ratio stored in the database, the distribution network current state is marked as bad, and a bad prompt is issued for the distribution network current state.

[0045] In a specific embodiment, by acquiring the voltage and current state curve of the distribution network in real time and comparing it with the reference curve stored in the database, real-time monitoring and feedback of the distribution network state can be achieved, so that anomalies or problems in the power grid state can be discovered in time, and corresponding measures can be taken in time to adjust or repair them, thereby improving the reliability and stability of the power grid. The process is automated and implemented through computer programs, which can reduce the burden on operators and improve the efficiency and accuracy of analysis. At the same time, automated analysis can also avoid the influence of human factors on the results and improve the objectivity of the analysis. According to the comparison results, the voltage and current state of the distribution network is automatically marked as good or bad, and corresponding prompts are issued. This can help operators quickly identify the problematic parts and deal with them in a targeted manner, reducing the time and cost of troubleshooting. By comparing with the historical data stored in the database, the changing trend and periodicity of the distribution network state can be discovered, which helps to better understand the laws of power grid operation and provide a reference for future operation and maintenance and optimization.

[0046] The distribution network operation status remote control module is used to remotely control the distribution network operation status based on the comparison result of the distribution network operation status video monitoring screen evaluation value and the distribution network voltage and current status.

[0047] Specifically, the operation state of the distribution network is remotely controlled based on the comparison result of the evaluation value of the distribution network operation state video monitoring picture and the voltage and current state of the distribution network. The specific analysis process is: when there is a bad state among the distribution network operation state, the distribution network voltage state and the distribution network current state, the operation state of the distribution network is remotely controlled; the evaluation value of the distribution network operation state video monitoring picture, the overlap ratio of the distribution network voltage state curve and the overlap ratio of the distribution network current state curve are obtained; the evaluation value of the distribution network operation state video monitoring picture, the overlap ratio of the distribution network voltage state curve and the overlap ratio of the distribution network current state curve are imported into the distribution network operation state optimization model to obtain the distribution network operation state optimization characteristic value; the distribution network operation state optimization characteristic value output by the distribution network operation state optimization model is obtained, the distribution network operation state optimization characteristic value is compared with the distribution network operation state optimization scheme corresponding to each distribution network operation state optimization characteristic value stored in the database, and the distribution network operation state optimization scheme corresponding to the distribution network operation state optimization characteristic value is obtained, and the distribution network operation state is remotely controlled based on the distribution network operation state optimization scheme corresponding to the distribution network operation state optimization characteristic value.

[0048] It should be explained that the above-mentioned distribution network operation state optimization characteristic value is used to optimize the distribution network operation state. As the analysis basis for remote control of the distribution network operation state, the distribution network operation state optimization characteristic value can not only be further analyzed by the machine learning integrated model, but also the prediction results of multiple basic models are combined by LightGBM to obtain more accurate distribution network operation state optimization characteristic value. It can also be calculated in the following way. The distribution network operation state optimization model is:

[0049]

[0050] Where E is the optimized characteristic value of the distribution network operation state, ω is the evaluation value of the distribution network operation state video monitoring screen, ω0 is the reference evaluation value of the distribution network operation state video monitoring screen, DB is the overlap ratio of the distribution network voltage state curve, YL is the overlap ratio of the distribution network current state curve, and α is the correction factor of the set distribution network operation state optimized characteristic value.

[0051] It should be noted that when the distribution network is in a bad state, remote control can be used to achieve real-time response and rapid processing to avoid further deterioration and ensure the safe and stable operation of the distribution network. Multiple factors such as the evaluation value of the distribution network operation status video monitoring screen, the overlap ratio of the voltage state curve and the overlap ratio of the current state curve are introduced into the optimization model to obtain the optimized characteristic value of the distribution network operation status. Multiple factors can be comprehensively considered to make optimization decisions to improve the operation efficiency and reliability of the distribution network. By comparing the characteristic values ​​output by the optimization model with the optimization schemes stored in the database, specific optimization schemes can be formulated based on data-driven decision-making to improve the scientificity and accuracy of decision-making. Remote control based on the optimization scheme corresponding to the optimized characteristic value of the distribution network operation status can achieve targeted maintenance and adjustment, prevent the occurrence of potential faults, and extend the service life of equipment. By remotely controlling the operation status of the distribution network, automated management and monitoring can be achieved, human intervention can be reduced, operation efficiency and safety can be improved, and operation and maintenance costs can be reduced.

[0052] It should be noted that the above-mentioned analysis and improvement of the distribution network environmental status through visualization equipment can improve the real-time monitoring capability of the distribution network environmental status, timely detect abnormal conditions, and help prevent the occurrence of potential faults. Analysis of the distribution network environmental status through visualization equipment can improve the work efficiency of operation and maintenance personnel, quickly locate problems and take corresponding measures, realize remote monitoring and management of the distribution network, reduce the workload of manual inspections, and improve the intelligent level of operation and maintenance. Through the video monitoring system, the safety of the distribution network can be effectively managed to ensure the safety of equipment and personnel. It can also improve the operating stability and reliability of the distribution network, improve the overall performance of the distribution system, reduce the failure rate, and extend the life of equipment.

[0053] It should be noted that the above-mentioned analysis and improvement of the distribution network equipment status through visualization equipment, through real-time monitoring of equipment status, can timely discover equipment abnormalities and improve fault detection and processing efficiency. Visualization equipment can collect a large amount of data and conduct in-depth analysis of equipment status to help operation and maintenance personnel understand the equipment operation status, predict potential failures, and take corresponding measures. By analyzing the equipment status through visualization equipment, the cause of the failure can be located more quickly and accurately, and the efficiency of fault diagnosis and elimination can be improved. Visualization equipment provides intuitive equipment status information to help operation and maintenance personnel quickly understand the equipment status and improve operation and maintenance efficiency and work quality. Timely monitoring of equipment status can reduce the risk of equipment failure, improve the safety of the distribution network, and ensure the safety of equipment and personnel. By analyzing the equipment status, a more scientific and reasonable equipment maintenance plan can be formulated to extend the equipment life and reduce maintenance costs.

[0054] It should be noted that the above-mentioned analysis and improvement of the voltage and current status of the distribution network is carried out through visualization equipment. The visualization equipment can monitor the voltage and current status of the distribution network in real time, and promptly discover abnormal conditions such as voltage fluctuations and current overloads. By conducting in-depth analysis of voltage and current data, it can help optimize the operation of the power grid. By analyzing the voltage and current status, it is possible to predict potential fault risks, take timely measures to prevent the occurrence of faults, and improve the reliability of the distribution network. By analyzing the voltage and current status, load balancing can be achieved, the operation of the power grid can be optimized, energy waste can be reduced, and power supply efficiency can be improved. By analyzing the voltage and current status through visualization equipment, the fault point can be quickly located, and the efficiency of fault diagnosis and processing can be improved. Timely monitoring of the voltage and current status helps to improve the safety of the power grid, ensure the safety of equipment and personnel, and reduce the risk of accidents.

[0055] Furthermore, the distribution network operation visual video monitoring management device includes a distribution network status data set acquisition module, a distribution network operation comparison prompt module and a distribution network operation status remote control module, wherein: the distribution network status data set acquisition module is used to acquire the distribution network operation status video monitoring screen data set and the distribution network voltage and current status curve through a visual interface; the distribution network operation comparison prompt module is used to obtain the distribution network operation status video monitoring screen evaluation value based on the acquired distribution network operation status video monitoring screen data set analysis, prompt the distribution network operation status, and compare and prompt the distribution network voltage and current status based on the acquired distribution network voltage and current status data set; the distribution network operation status remote control module is used to remotely control the distribution network operation status based on the comparison result of the distribution network operation status video monitoring screen evaluation value and the distribution network voltage and current status.

[0056] Specifically, the distribution network operation visual video monitoring and management device includes a processor and a memory and a network interface connected to the processor. The network interface is connected to the non-volatile memory in the server. When running, the processor calls the computer program from the non-volatile memory through the network interface and runs the computer program through the memory to execute the above system.

[0057] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. Distribution network operation visual video monitoring management system, characterized by: It includes a distribution network status data set acquisition module, a distribution network operation comparison prompt module and a distribution network operation status remote control module, among which: The distribution network status data set acquisition module is used to obtain the distribution network operation status video monitoring screen data set and the distribution network voltage and current status curve through a visual interface; The distribution network operation comparison prompt module is used to obtain the distribution network operation status video monitoring screen evaluation value based on the obtained distribution network operation status video monitoring screen data set, to prompt the distribution network operation status, and to compare and prompt the distribution network voltage and current status based on the obtained distribution network voltage and current status data set; The distribution network operation status remote control module is used to remotely control the distribution network operation status based on the comparison result of the distribution network operation status video monitoring screen evaluation value and the distribution network voltage and current status.

2. The distribution network operation visual video monitoring and management system according to claim 1 is characterized by: The distribution network status data set acquisition module includes a distribution network operation status video monitoring screen data acquisition unit and a distribution network voltage and current status curve acquisition unit.

3. The distribution network operation visual video monitoring and management system according to claim 2 is characterized by: The distribution network operation status video monitoring screen data acquisition unit, the specific analysis process is: The distribution network operation status video monitoring screen data acquisition unit is used to acquire the distribution network operation status video monitoring screen data set based on the distribution network video monitoring screen; The distribution network operation status video monitoring screen data set specifically includes the distribution network environment operation status video monitoring screen data and the distribution network equipment operation status video monitoring screen data. The distribution network environment operation status video monitoring screen data includes the current distribution network environment temperature monitored by the temperature sensor, the current distribution network environment humidity monitored by the humidity sensor, and the current distribution network environment smoke concentration monitored by the smoke concentration sensor. The distribution network equipment operation status video monitoring screen data includes the proportion of normally operating distribution network equipment under the video monitoring screen, the longest continuous operation time of the distribution network equipment under the video monitoring screen, and the power display screen under the video monitoring screen displays the current operating power of the distribution network equipment.

4. The distribution network operation visual video monitoring and management system according to claim 2 is characterized by: The distribution network voltage and current state curve acquisition unit has a specific analysis process as follows: The distribution network voltage and current state curve acquisition unit is used to acquire the distribution network voltage and current state curve through a visual interface; The distribution network voltage and current state curve specifically includes a distribution network voltage state curve and a distribution network current state curve.

5. The distribution network operation visual video monitoring and management system according to claim 3 is characterized by: The distribution network operation status video monitoring screen evaluation value is obtained based on the analysis of the obtained distribution network operation status video monitoring screen data set. The specific analysis process is: The specific analysis process of the distribution network operation status video monitoring screen evaluation value is as follows: Wherein, ω is the evaluation value of the video monitoring screen of the distribution network operation status, ω1 is the evaluation value of the video monitoring screen of the distribution network environment operation status, ω2 is the evaluation value of the video monitoring screen of the distribution network equipment operation status, μ1 is the weight factor of the set distribution network environment operation status video monitoring screen evaluation value, and μ2 is the weight factor of the set distribution network equipment operation status video monitoring screen evaluation value; Based on a comprehensive analysis of the distribution network environment operating status video surveillance screen data and the distribution network equipment operating status video surveillance screen data, an evaluation value of the distribution network operating status video surveillance screen is obtained. The evaluation value of the distribution network operating status video surveillance screen serves as an analysis basis for providing prompts on the distribution network operating status.

6. The distribution network operation visual video monitoring and management system according to claim 5 is characterized by: The specific analysis process of prompting the operation status of the distribution network is as follows: Obtaining an evaluation value of a video surveillance picture of a distribution network operation status, and comparing the evaluation value of the video surveillance picture of the distribution network operation status with a reference evaluation value of the video surveillance picture of the distribution network operation status stored in a database; If the distribution network operation status video monitoring picture evaluation value is higher than or equal to the distribution network operation status video monitoring picture reference evaluation value stored in the database, the distribution network operation status is marked as good; If the evaluation value of the distribution network operation status video monitoring picture is lower than the reference evaluation value of the distribution network operation status video monitoring picture stored in the database, the distribution network operation status is marked as poor, and a poor prompt is issued for the distribution network operation status.

7. The distribution network operation visual video monitoring and management system according to claim 4 is characterized by: The voltage and current state of the distribution network is compared and prompted based on the obtained distribution network voltage and current state curve. The specific analysis process is as follows: Obtaining a distribution network voltage state curve and a distribution network current state curve, and comparing the distribution network voltage state curve and the distribution network current state curve with a distribution network voltage state reference curve and a distribution network current state reference curve stored in a database respectively; Performing a coincidence check on the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database to obtain a coincidence ratio between the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database, recording the coincidence ratio between the distribution network voltage state curve and the distribution network voltage state reference curve stored in the database as the distribution network voltage state curve coincidence ratio, and comparing the distribution network voltage state curve coincidence ratio with the distribution network voltage state curve reference coincidence ratio stored in the database; If the overlap ratio of the distribution network voltage state curve is higher than or equal to the reference overlap ratio of the distribution network voltage state curve stored in the database, the distribution network voltage state is marked as good; if the overlap ratio of the distribution network voltage state curve is lower than the reference overlap ratio of the distribution network voltage state curve stored in the database, the distribution network voltage state is marked as bad, and a bad prompt is issued for the distribution network voltage state; Performing a coincidence check on the distribution network current state curve and the distribution network current state reference curve stored in the database to obtain a coincidence ratio between the distribution network current state curve and the distribution network current state reference curve stored in the database, recording the coincidence ratio between the distribution network current state curve and the distribution network current state reference curve stored in the database as the distribution network current state curve coincidence ratio, and comparing the distribution network current state curve coincidence ratio with the distribution network current state curve reference coincidence ratio stored in the database; If the overlap ratio of the distribution network current state curve is higher than or equal to the reference overlap ratio of the distribution network current state curve stored in the database, the distribution network current state is marked as good; if the overlap ratio of the distribution network current state curve is lower than the reference overlap ratio of the distribution network current state curve stored in the database, the distribution network current state is marked as bad, and a bad prompt is issued for the distribution network current state.

8. The distribution network operation visual video monitoring and management system according to claim 1, characterized in that: The distribution network operation state is remotely controlled based on the comparison result of the distribution network operation state video monitoring screen evaluation value and the distribution network voltage and current state. The specific analysis process is as follows: When there is a bad state among the distribution network operation state, distribution network voltage state and distribution network current state, the distribution network operation state is remotely controlled; Obtain the distribution network operation status video monitoring screen evaluation value, the distribution network voltage state curve overlap ratio and the distribution network current state curve overlap ratio; The distribution network operation status video monitoring screen evaluation value, the distribution network voltage state curve overlap ratio and the distribution network current state curve overlap ratio are introduced into the distribution network operation status optimization model to obtain the distribution network operation status optimization characteristic value; Obtain the distribution network operation state optimization characteristic value output by the distribution network operation state optimization model, compare the distribution network operation state optimization characteristic value with the distribution network operation state optimization scheme corresponding to each distribution network operation state optimization characteristic value stored in the database, obtain the distribution network operation state optimization scheme corresponding to the distribution network operation state optimization characteristic value, and remotely control the distribution network operation state based on the distribution network operation state optimization scheme corresponding to the distribution network operation state optimization characteristic value.

9. A visual video monitoring and management device for distribution network operation, characterized in that: It includes a distribution network status data set acquisition module, a distribution network operation comparison prompt module and a distribution network operation status remote control module, among which: The distribution network status data set acquisition module is used to obtain the distribution network operation status video monitoring screen data set and the distribution network voltage and current status curve through a visual interface; The distribution network operation comparison prompt module is used to obtain the distribution network operation status video monitoring screen evaluation value based on the obtained distribution network operation status video monitoring screen data set, to prompt the distribution network operation status, and to compare and prompt the distribution network voltage and current status based on the obtained distribution network voltage and current status data set; The distribution network operation status remote control module is used to remotely control the distribution network operation status based on the comparison result of the distribution network operation status video monitoring screen evaluation value and the distribution network voltage and current status.

10. Visual video monitoring and management equipment for distribution network operation, characterized by: The system comprises a processor and a memory and a network interface connected to the processor, wherein the network interface is connected to a non-volatile memory in a server, and the processor retrieves a computer program from the non-volatile memory through the network interface during operation, and runs the computer program through the memory to execute the system described in claims 1-8 above.

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