Digital intelligent operation and maintenance system and method for relay protection

Abstract

The invention discloses a digital intelligent operation and maintenance system and method for relay protection, and relates to the technical field of operation and maintenance management. If yes, a robot set capable of being operated and maintained is determined according to the fault type set; according to a preset important value of the relay protection device, the number of robots which are sent to the relay protection device for operation and maintenance in a robot set capable of performing operation and maintenance is determined; calculating the priority value that each robot in the robot set capable of operation and maintenance is dispatched to the relay protection device for operation and maintenance, and screening a corresponding number of robots from the robot set capable of operation and maintenance according to the sequence of the priority values from large to small for operation and maintenance; maintenance tasks can be effectively completed, delay of fault repair time is slowed down, influences on the stability of a power grid are reduced, it is ensured that large-scale power failure or equipment damage cannot be caused, and the reliability of the equipment and the overall operation efficiency are ensured.

Description

Technical Field

[0001] The present invention relates to the field of operation and maintenance management technology, and in particular to a digital operation and maintenance system and method for relay protection. Background Art

[0002] The digital and intelligent operation and maintenance system of relay protection is a modern management system that uses digital and intelligent technologies to conduct real-time monitoring, fault diagnosis, predictive maintenance, and optimized operation and maintenance of relay protection devices. The system uses big data, artificial intelligence, the Internet of Things and other technical means to collect real-time operating status data of relay protection devices, analyze their health status, predict potential faults, and automatically dispatch robots or other automated equipment for maintenance, thereby improving system reliability, reducing manual intervention, and increasing fault response speed, ultimately achieving efficient and intelligent management of equipment.

[0003] However, when robots are dispatched to perform operation and maintenance of faulty relay protection devices through the digital operation and maintenance system of relay protection, if the robots cannot be dispatched reasonably according to the actual situation, the wrong robots may be dispatched, which may result in the failure to effectively complete the maintenance tasks, delaying the time for fault repair, thus affecting the stability of the power grid and even causing large-scale power outages or equipment damage, ultimately affecting the reliability of the equipment and overall operational efficiency. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide a digital operation and maintenance system and method for relay protection.

[0005] In the first aspect of the implementation of the present invention, a digital intelligent operation and maintenance method for relay protection is first proposed. The method is applied to a server, and the server is used to dispatch a robot to operate and maintain a relay protection device. The method includes: Acquire the operating status data of the relay protection device in real time and input it into the preset fault identification model to identify whether the relay protection device will have faults in the future; If the relay protection device does not have any faults in the future, there is no need to dispatch robots to operate and maintain the relay protection device; If the relay protection device fails in the future, the fault type set is determined through the preset fault identification model, and the set of robots that can perform operation and maintenance is determined based on the fault type set; According to the preset importance value of the relay protection device, the number of robots to be dispatched to the relay protection device for operation and maintenance from the set of robots that can perform operation and maintenance is determined; Calculate the priority value of each robot in the set of robots that can perform operation and maintenance to be dispatched to the relay protection device for operation and maintenance; According to the priority values ​​in descending order, a corresponding number of robots are selected from the set of robots that can be operated and maintained for operation and maintenance.

[0006] Optionally, the step of determining a set of robots that can perform maintenance according to the set of fault types is as follows: Determine a set of types of future faults of the relay protection device from a preset fault identification model as a first fault type set; Obtaining a fault type set of the relay protection device operated by each operation and maintenance robot from the historical operation and maintenance records as a second fault type set of each operation and maintenance robot; If the second fault type set includes all the fault types in the first fault type set, the corresponding operation and maintenance robot can operate and maintain the relay protection device and is recorded as a robot that can perform operation and maintenance; If the second fault type set does not include all the fault types in the first fault type set, the corresponding operation and maintenance robot cannot operate and maintain the relay protection device; All robots that can be operated and maintained are regarded as a set of robots that can be operated and maintained.

[0007] Optionally, according to the preset importance value of the relay protection device, the step of determining the number of robots sent to the relay protection device for operation and maintenance is: Obtain the total power load used in the key area of ​​the load power protected by the relay protection device, and divide the total power load used in the key area by the total power load of the load protected by the relay protection device to obtain the load power proportion of the key area; Obtain the daily flow of people in the safe where the relay protection device is located, and normalize the daily flow of people to obtain the flow ratio; Obtain the cost of the relay protection device equipment, normalize the cost, and obtain the equipment cost ratio; Add the load power proportion, personnel proportion and equipment cost proportion of the relay protection device to obtain the preset importance value of the relay protection device; match the preset importance value with the table of the number of robots for operation and maintenance corresponding to the preset importance value to determine the number of robots sent to the relay protection device for operation and maintenance Optionally, the step of calculating the priority value of each robot in the set of robots capable of operation and maintenance to be dispatched to the relay protection device for operation and maintenance is as follows: Obtain the total number of operations and the total number of successful operations for each fault type in the future fault type collection of the relay protection device under operation and maintenance from the historical operation and maintenance records of each robot in the set of robots that can be operated and maintained, and divide the total number of successful operations and maintenance by the total number of operations and maintenance to obtain the operation and maintenance success ratio for the corresponding fault type; Calculate the mean of the operation and maintenance success ratios of all fault types to obtain the operation and maintenance success value of the corresponding robot; Obtain the historical operation and maintenance records of each robot in the set of robots that can be operated and maintained, the future fault type collection of the operated and maintained relay protection device, the operation and maintenance time of each fault type, and normalize the operation and maintenance time of each fault type to obtain the operation and maintenance time ratio of the corresponding fault type; Calculate the average of the operation and maintenance time ratios of all fault types to obtain the operation and maintenance time value of the corresponding robot; The operation and maintenance success value of the robot is subtracted from the operation and maintenance time value to obtain the operation and maintenance experience value of the robot; the priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value and remaining power, the distance to the relay protection device and the maintenance record.

[0008] Optionally, the steps of calculating the priority value of each robot to be dispatched to the relay protection device for operation and maintenance according to the operation and maintenance experience value and remaining power of the robot, the distance to the relay protection device and the maintenance record are: Obtain the current remaining power of each robot in the set of robots that can be operated and maintained, and obtain the average power consumption per hour of each robot during operation, and divide the current remaining power by the average power consumption per hour to obtain the average operational time; and normalize the average operational time to obtain the operational time ratio of each robot; The current position of each robot in the set of robots that can be operated and maintained and the position of the relay protection device are obtained, and the shortest driving distance from the current position of each robot to the position of the relay protection device is calculated by a dynamic programming algorithm, and the shortest driving distance is normalized to obtain the driving distance ratio of each robot; The priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value, the ratio of available operating time, the ratio of driving distance, and the maintenance record. Optionally, the step of calculating the priority value of each robot to be dispatched to the relay protection device for operation and maintenance according to the operation and maintenance experience value of the robot and the ratio of the available operating time, the ratio of the driving distance and the maintenance record is as follows: Obtain the average maintenance time interval of each robot in the set of robots that can be operated and maintained, and calculate the time interval from the current time to the last maintenance time, and subtract the average maintenance time interval from the time interval from the last maintenance time to obtain the near maintenance time interval, and normalize the near maintenance time interval to obtain the near maintenance time interval ratio of each robot; The priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value and the ratio of the operable time, the driving distance ratio and the ratio of the adjacent maintenance time interval. The calculation formula is: T=Sz+Sx-Sm-SQ, where T is the priority value, Sz, Sx, Sm, and SQ are the operation and maintenance experience value and the ratio of the operable time, the driving distance ratio and the ratio of the adjacent maintenance time interval, respectively.

[0009] In a second aspect of the implementation of the present invention, a digital intelligent operation and maintenance system for relay protection is proposed. The system is applied to a server, and the server is used to dispatch a robot to operate and maintain a relay protection device. The system includes: Fault prediction module: obtains the operating status data of the relay protection device in real time and inputs it into the preset fault identification model to identify whether the relay protection device will have faults in the future; No need for operation and maintenance module: If there is no fault in the relay protection device in the future, there is no need to dispatch robots for operation and maintenance of the relay protection device; Robot determination module: If the relay protection device has a fault in the future, the fault type set is determined through the preset fault identification model, and the set of robots that can perform operation and maintenance is determined based on the fault type set; Quantity determination module: determines the number of robots to be sent to the relay protection device for operation and maintenance from the set of robots that can perform operation and maintenance according to the preset importance value of the relay protection device; Priority value calculation module: calculates the priority value of each robot in the set of robots that can perform operation and maintenance to be dispatched to the relay protection device for operation and maintenance; Dispatching operation and maintenance module: selects a corresponding number of robots from the set of robots that can perform operation and maintenance in descending order of priority values.

[0010] Beneficial effects of the present invention: The present invention proposes a digital and intelligent operation and maintenance system and method for relay protection. When a robot is actually dispatched to perform operation and maintenance of a faulty relay protection device through the digital and intelligent operation and maintenance system of relay protection, the robot can be reasonably dispatched for operation and maintenance according to the actual situation to ensure that the wrong robot will not be dispatched, so that the maintenance task can be completed effectively, and the delay in fault repair time can be alleviated, thereby reducing the impact on the stability of the power grid, ensuring that large-scale power outages or equipment damage will not occur, and ensuring the reliability of the equipment and the overall operational efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention will be further described below in conjunction with the accompanying drawings.

[0012] Figure 1 This is a flow chart of a digital intelligent operation and maintenance method for relay protection; Figure 2This is a framework diagram of a digital operation and maintenance system for relay protection. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0015] The embodiment of the present invention provides a digital intelligent operation and maintenance method for relay protection. Figure 1 , Figure 1 A flowchart of a digital intelligent operation and maintenance method for relay protection provided in an embodiment of the present invention. The method is applied to a server, and the server is used to dispatch a robot to operate and maintain a relay protection device. The method includes the following steps: Acquire the operating status data of the relay protection device in real time and input it into the preset fault identification model to identify whether the relay protection device will have faults in the future; If the relay protection device does not have any faults in the future, there is no need to dispatch robots to operate and maintain the relay protection device; If the relay protection device fails in the future, the fault type set is determined through the preset fault identification model, and the set of robots that can perform operation and maintenance is determined based on the fault type set; According to the preset importance value of the relay protection device, the number of robots to be dispatched to the relay protection device for operation and maintenance from the set of robots that can perform operation and maintenance is determined; Calculate the priority value of each robot in the set of robots that can perform operation and maintenance to be dispatched to the relay protection device for operation and maintenance; According to the priority values ​​in descending order, a corresponding number of robots are selected from the set of robots that can be operated and maintained for operation and maintenance.

[0016] Based on a digital operation and maintenance method for relay protection provided in an embodiment of the present invention, through the above-mentioned method, when a robot is actually dispatched to perform operation and maintenance of a faulty relay protection device through the digital operation and maintenance system of relay protection, the robot can be reasonably dispatched for operation and maintenance according to the actual situation to ensure that the wrong robot will not be dispatched, so that the maintenance task can be completed effectively, and the delay in fault repair time can be alleviated, thereby reducing the impact on the stability of the power grid, ensuring that large-scale power outages or equipment damage will not occur, and ensuring the reliability of the equipment and the overall operational efficiency.

[0017] It should be noted that in this step, the preset fault identification model is usually a machine learning model that has been trained and optimized with a large amount of data in advance. In order to ensure the accuracy and effectiveness of the model, it is first necessary to train it with historical operation data and equipment health status data. These data include various sensor information of relay protection devices, such as voltage, current, temperature, frequency, etc., as well as fault records and maintenance records of equipment under different operating conditions. Through machine learning algorithms such as deep learning, support vector machine, and random forest, the model can identify potential fault modes in the data and predict the types of faults that may occur in the future. During the training process, the model continuously optimizes parameters to enhance its sensitivity to changes in equipment status, ensuring that possible fault risks can be quickly identified in the actual operating environment. The model can not only determine whether the equipment is currently abnormal, but also predict whether it has potential faults in the future, thereby providing data support for subsequent operation and maintenance decisions. In actual application, the system will access the sensor data of the equipment in real time, input these data into the model, and evaluate the operating status of the equipment in real time, so as to detect fault signs in advance and avoid equipment downtime or more serious damage.

[0018] If the relay protection device has a fault in the future, the preset fault identification model will further determine the specific type of the fault by analyzing the historical data. The core of this step is to determine the type of fault that may occur in the future of the equipment through multi-dimensional feature extraction and pattern recognition. For example, the model may identify different types of fault risks, including short circuit faults, overload faults, poor electrical contact, equipment aging or mechanical damage, based on the historical fault records of the equipment, sensor data (such as voltage and current fluctuations), environmental conditions (such as temperature and humidity changes), and the operating status of the equipment. By comparing real-time data with historical fault cases, the model can efficiently determine and classify these potential faults. In some advanced applications, the model may also use a multi-level feature learning method, combined with deep learning technology to automatically extract more complex fault features from big data to improve the accuracy of fault classification. In this way, the system can accurately provide a collection of fault types for subsequent operation and maintenance, provide a clearer direction for robot dispatch decisions, and ensure that targeted maintenance operations can be carried out quickly and effectively. This process not only helps to improve the accuracy of fault diagnosis, but also provides strong support for the formulation of reasonable operation and maintenance plans and resource allocation.

[0019] In one embodiment, the steps of determining a set of robots that can perform maintenance according to a set of fault types are as follows: Determine a set of types of future faults of the relay protection device from a preset fault identification model as a first fault type set; Obtaining a fault type set of the relay protection device operated by each operation and maintenance robot from the historical operation and maintenance records as a second fault type set of each operation and maintenance robot; If the second fault type set includes all the fault types in the first fault type set, the corresponding operation and maintenance robot can operate and maintain the relay protection device and is recorded as a robot that can perform operation and maintenance; If the second fault type set does not include all the fault types in the first fault type set, the corresponding operation and maintenance robot cannot operate and maintain the relay protection device; All robots that can be operated and maintained are regarded as a set of robots that can be operated and maintained.

[0020] It should be noted that the fault type set of the relay protection device operated by each operation and maintenance robot can be obtained from the historical operation and maintenance records, which can usually be obtained through the maintenance management system, operation and maintenance database or operation and maintenance log. These records contain the details of the tasks performed by each robot, especially the content related to fault diagnosis and repair. For example, the operation and maintenance management system will record in detail the fault type, repair steps, repair results and processing time of the relay protection device handled each time the robot performs a task. These data can be used to analyze the performance and experience accumulation of each robot in handling different types of faults. For example, if an operation and maintenance robot has repaired relay protection device faults caused by overload (such as the "overload protection trigger" fault type) many times, then the robot's historical operation and maintenance records will accumulate experience of the "overload fault" type. By analyzing these historical operation and maintenance records, the system can extract the fault type set that each robot is familiar with and good at. For example, suppose that the historical fault type set of robot A includes "overload fault" and "short circuit fault", while the historical fault type set of robot B only includes "overload fault". Then, if the fault type of the relay protection device in the future is "overload fault" or "short circuit fault", the system will select robot A for operation and maintenance because it has more comprehensive fault handling experience. This process helps to accurately dispatch the robot based on its historical experience and improve operation and maintenance efficiency.

[0021] In one implementation, determining the set of robots that can perform operation and maintenance in this way has several significant benefits. First, it ensures that the operation and maintenance tasks can be performed by the most suitable robots, avoiding the dispatch of robots without relevant experience or capabilities to perform complex fault handling, thereby improving the efficiency and success rate of operation and maintenance. Second, screening based on the robot's historical operation and maintenance records helps to maximize the professional expertise of each robot, making fault repair more accurate and efficient. Furthermore, this method can reduce resource waste, avoid dispatching robots that cannot effectively complete tasks, and save time, energy, and operation and maintenance costs. In addition, through the continuous accumulation of operation and maintenance records, the system can continuously optimize and adjust the robot dispatch strategy, further improve the level of intelligence, realize dynamic and flexible resource scheduling, and enhance the system's adaptive ability. This method not only improves the quality of operation and maintenance, but also forms a closed-loop feedback mechanism in long-term operation, and continuously improves the intelligence and automation level of the overall operation and maintenance system.

[0022] In one embodiment, according to the preset importance value of the relay protection device, the steps of determining the number of robots to be sent to the relay protection device for operation and maintenance are: Obtain the total power load used in the key area of ​​the load power protected by the relay protection device, and divide the total power load used in the key area by the total power load of the load protected by the relay protection device to obtain the load power proportion of the key area; Obtain the daily flow of people in the safe where the relay protection device is located, and normalize the daily flow of people to obtain the flow ratio; Obtain the cost of the relay protection device equipment, normalize the cost, and obtain the equipment cost ratio; Add the load power proportion, personnel proportion and equipment cost proportion of the relay protection device to obtain the preset importance value of the relay protection device; match the preset importance value with the table of the number of robots for operation and maintenance corresponding to the preset importance value to determine the number of robots sent to the relay protection device for operation and maintenance.

[0023] It should be noted that the table of the number of robots for operation and maintenance corresponding to the preset important values ​​is set by professionals according to the actual situation, and no specific restrictions or elaborations are made; in addition, the key areas mentioned above refer to areas with high importance or sensitivity in the power system protected by the relay protection device. These areas usually include equipment or facilities that are critical to the operation of the entire system, such as major substations, important production lines, data centers, hospitals, transportation hubs, etc. Once the power supply in key areas is interrupted, it may trigger a widespread chain reaction, affecting normal production, operations and even public safety. Therefore, ensuring the stable and safe power supply in these key areas is the focus of the operation and maintenance of the relay protection system, and it needs to be given priority when troubleshooting.

[0024] It should be noted that the acquisition method of the data involved in the above calculation process mainly relies on a variety of information collection and system integration technologies. First, the load power data protected by the relay protection device can be monitored and collected in real time through smart meters, sensors or power monitoring systems. These devices can provide real-time power consumption information, and the system will calculate the total power load of key areas and the total power load of the entire system based on these data. For traffic flow data, it can usually be obtained through cameras and sensors installed around the relay protection device or through the entry and exit recording system of the relevant area. The data is normalized by the intelligent analysis system to obtain the proportion of traffic flow. As for equipment cost data, the purchase cost, maintenance cost and other information of the relay protection device can be obtained through the enterprise asset management system or procurement management system. All these data will be normalized and standardized, and then input into the digital operation and maintenance system, and the system can automatically calculate the preset important values ​​of the relay protection device. In the end, these data not only come from the real-time monitoring system, but also through the integration of historical records and asset management systems, comprehensively evaluate the importance of relay protection devices from multiple perspectives, and ensure the reasonable allocation of operation and maintenance resources.

[0025] It should be noted that when the load power ratio of the relay protection device is larger, the personnel ratio is larger, and the equipment cost ratio is larger, it means that the preset importance value of the relay protection device is larger, so the number of robots sent to the relay protection device for operation and maintenance is larger, because the larger load power ratio indicates that the load involved in the device is critical to the stability of the system, and the failure may cause widespread power outages or affect the operation of key businesses. A higher proportion of personnel means that the location of the device may involve the safety of more people. Once a failure occurs, it may cause greater personal injury or safety hazards. The proportion of equipment cost reveals the value and maintenance difficulty of the device. Equipment with higher costs usually has complex technical requirements and repair difficulties, and fault handling requires more professional skills and time. Therefore, as the preset importance value increases, the system will automatically adjust and dispatch more robots for operation and maintenance to ensure that faults can be handled in a timely and professional manner, minimize risks and losses, and ensure the stable operation of the system.

[0026] In one embodiment, the steps of calculating the priority value of each robot in the set of robots capable of operation and maintenance to be dispatched to the relay protection device for operation and maintenance are as follows: Obtain the total number of operations and the total number of successful operations for each fault type in the future fault type collection of the relay protection device under operation and maintenance from the historical operation and maintenance records of each robot in the set of robots that can be operated and maintained, and divide the total number of successful operations and maintenance by the total number of operations and maintenance to obtain the operation and maintenance success ratio for the corresponding fault type; Calculate the mean of the operation and maintenance success ratios of all fault types to obtain the operation and maintenance success value of the corresponding robot; Obtain the historical operation and maintenance records of each robot in the set of robots that can be operated and maintained, the future fault type collection of the operated and maintained relay protection device, the operation and maintenance time of each fault type, and normalize the operation and maintenance time of each fault type to obtain the operation and maintenance time ratio of the corresponding fault type; Calculate the average of the operation and maintenance time ratios of all fault types to obtain the operation and maintenance time value of the corresponding robot; The operation and maintenance success value of the robot is subtracted from the operation and maintenance time value to obtain the operation and maintenance experience value of the robot; the priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value and remaining power, the distance to the relay protection device and the maintenance record.

[0027] It should be noted that the robot's historical operation and maintenance records can be obtained from the operation and maintenance management system, which records the details of the tasks performed by the robot, including the fault type, total number of operation and maintenance, number of successes, time consumption data, etc. of each operation and maintenance task. The robot's power and power consumption information is obtained through the battery management system inside the robot, and the system can monitor the robot's remaining battery status and power consumption rate in real time. The robot's current position and the position of the relay protection device are obtained through the positioning system (such as GPS or indoor positioning system), which can dynamically track the robot's position and calculate the distance with the relay protection device. The robot's maintenance time interval is obtained through the timestamp record in the operation and maintenance system. The system automatically records the time of each maintenance and calculates the time interval between two maintenances. In addition, the robot's driving distance ratio is calculated by a dynamic programming algorithm based on the robot's current position and the geographical location of the relay protection device, combined with real-time traffic or path data to calculate the shortest driving path. All these data are uniformly collected, processed and analyzed through the information integration platform, thereby providing accurate data support for the robot priority calculation.

[0028] It should be noted that when the robot's operation and maintenance success value is greater and the operation and maintenance time value is smaller, that is, the robot's operation and maintenance experience value is greater, the corresponding robot is dispatched to the relay protection device for operation and maintenance. The higher the operation and maintenance experience value, the higher the priority of the robot, because it indicates that the robot is more efficient and has a higher success rate when handling similar faults, and can solve problems faster and reduce downtime. A higher operation and maintenance experience value means that the robot is more familiar with a specific type of fault and can complete the task with lower resource consumption and less time. Therefore, giving priority to dispatching this robot can effectively improve the operation and maintenance efficiency and ensure the stable operation of the system.

[0029] In one embodiment, the steps of calculating the priority value of each robot to be dispatched to the relay protection device for operation and maintenance according to the operation and maintenance experience value and remaining power of the robot, the distance to the relay protection device, and the maintenance record are as follows: Obtain the current remaining power of each robot in the set of robots that can be operated and maintained, and obtain the average power consumption per hour of each robot during operation, and divide the current remaining power by the average power consumption per hour to obtain the average operational time; and normalize the average operational time to obtain the operational time ratio of each robot; The current position of each robot in the set of robots that can be operated and maintained and the position of the relay protection device are obtained, and the shortest driving distance from the current position of each robot to the position of the relay protection device is calculated by a dynamic programming algorithm, and the shortest driving distance is normalized to obtain the driving distance ratio of each robot; The priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value, operating time ratio, driving distance ratio and maintenance record.

[0030] It should be noted that when the robot's operational time ratio is larger and the driving distance ratio is smaller, the corresponding robot has a higher priority in being dispatched to the relay protection device for operation and maintenance, because this means that the robot can perform tasks for a long time if there is sufficient remaining power, and is closer to the relay protection device, so it can arrive at the site for operation and maintenance more quickly. Shorter driving distances and longer operational time help reduce arrival time and power consumption on the way, thereby improving the operation and maintenance response speed and task completion efficiency, ensuring that faults are resolved as soon as possible and reducing system downtime.

[0031] In one embodiment, the steps of calculating the priority value of each robot to be dispatched to the relay protection device for operation and maintenance according to the operation and maintenance experience value of the robot and the ratio of the available operating time, the ratio of the driving distance and the maintenance record are as follows: Obtain the average maintenance time interval of each robot in the set of robots that can be operated and maintained, and calculate the time interval from the current time to the last maintenance time, and subtract the average maintenance time interval from the time interval from the last maintenance time to obtain the near maintenance time interval, and normalize the near maintenance time interval to obtain the near maintenance time interval ratio of each robot; The priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value and the ratio of the operable time, the driving distance ratio and the ratio of the adjacent maintenance time interval. The calculation formula is: T=Sz+Sx-Sm-SQ, where T is the priority value, Sz, Sx, Sm, and SQ are the operation and maintenance experience value and the ratio of the operable time, the driving distance ratio and the ratio of the adjacent maintenance time interval, respectively.

[0032] It should be noted that the smaller the robot's maintenance interval is, the higher the priority of the corresponding robot to be dispatched to the relay protection device for operation and maintenance, because this indicates that the robot is close to the last maintenance time, which may mean that it has just completed the task and is in a newer state, and its maintenance requirements are lower. At this time, the robot still maintains good performance and reliability and is not prone to failure, so it can be dispatched first. On the contrary, a longer maintenance interval may mean that the robot may need maintenance soon or there is a certain risk of performance degradation. Therefore, giving priority to dispatching robots with shorter maintenance intervals can reduce the probability of potential failures and ensure the smooth completion of operation and maintenance tasks.

[0033] In one implementation, the benefit of selecting a corresponding number of robots for operation and maintenance from a set of robots that can be operated and maintained in descending order of priority values ​​is that it can ensure that the most suitable and capable robots perform tasks first, thereby maximizing the efficiency and success rate of operation and maintenance. Robots with higher priority values ​​usually have better operation and maintenance experience, longer operational time, shorter driving distance, and lower maintenance risks, and can complete tasks more quickly and effectively, reducing fault repair time. At the same time, this strategy can reasonably allocate resources and avoid dispatching robots that are overloaded or in a maintenance-prone state to tasks, thereby optimizing the overall operation and maintenance effect, ensuring system stability, and reducing operation and maintenance costs.

[0034] Based on the same inventive concept, the embodiment of the present invention also provides a digital intelligent operation and maintenance system for relay protection. Figure 2 , Figure 2 A framework diagram of a digital intelligent operation and maintenance system for relay protection provided in an embodiment of the present invention, the system is applied to a server, the server is used to dispatch a robot to operate and maintain a relay protection device, and the system includes: Fault prediction module: obtains the operating status data of the relay protection device in real time and inputs it into the preset fault identification model to identify whether the relay protection device will have faults in the future; No need for operation and maintenance module: If there is no fault in the relay protection device in the future, there is no need to dispatch robots for operation and maintenance of the relay protection device; Robot determination module: If the relay protection device has a fault in the future, the fault type set is determined through the preset fault identification model, and the set of robots that can perform operation and maintenance is determined based on the fault type set; Quantity determination module: determines the number of robots to be sent to the relay protection device for operation and maintenance from the set of robots that can perform operation and maintenance according to the preset importance value of the relay protection device; Priority value calculation module: calculates the priority value of each robot in the set of robots that can perform operation and maintenance to be dispatched to the relay protection device for operation and maintenance; Dispatching operation and maintenance module: selects a corresponding number of robots from the set of robots that can perform operation and maintenance in descending order of priority values.

[0035] Based on a digital operation and maintenance system for relay protection provided by an embodiment of the present invention, through the above method, when a robot is actually dispatched to perform operation and maintenance of a faulty relay protection device through the digital operation and maintenance system of relay protection, the robot can be reasonably dispatched for operation and maintenance according to the actual situation to ensure that the wrong robot will not be dispatched, so that the maintenance task can be completed effectively, and the delay in fault repair time can be alleviated, thereby reducing the impact on the stability of the power grid, ensuring that large-scale power outages or equipment damage will not occur, and ensuring the reliability of the equipment and the overall operational efficiency.

[0036] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be used to artificially limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A digital intelligent operation and maintenance method for relay protection, characterized in that: The method is applied to a server, and the server is used to dispatch a robot to operate and maintain a relay protection device. The method includes: Acquire the operating status data of the relay protection device in real time and input it into the preset fault identification model to identify whether the relay protection device will have faults in the future; If the relay protection device does not have any faults in the future, there is no need to dispatch robots to operate and maintain the relay protection device; If the relay protection device fails in the future, the fault type set is determined through the preset fault identification model, and the set of robots that can perform operation and maintenance is determined based on the fault type set; According to the preset importance value of the relay protection device, the number of robots to be dispatched to the relay protection device for operation and maintenance from the set of robots that can perform operation and maintenance is determined; Calculate the priority value of each robot in the set of robots that can perform operation and maintenance to be dispatched to the relay protection device for operation and maintenance; According to the priority values ​​in descending order, a corresponding number of robots are selected from the set of robots that can be operated and maintained for operation and maintenance.

2. A digital intelligent operation and maintenance method for relay protection according to claim 1, characterized in that: The steps to determine the set of robots that can perform maintenance based on the set of fault types are as follows: Determine a set of types of future faults of the relay protection device from a preset fault identification model as a first fault type set; Obtaining a fault type set of the relay protection device operated by each operation and maintenance robot from the historical operation and maintenance records as a second fault type set of each operation and maintenance robot; If the second fault type set includes all the fault types in the first fault type set, the corresponding operation and maintenance robot can operate and maintain the relay protection device and is recorded as a robot that can perform operation and maintenance; If the second fault type set does not include all the fault types in the first fault type set, the corresponding operation and maintenance robot cannot operate and maintain the relay protection device; All robots that can be operated and maintained are regarded as a set of robots that can be operated and maintained.

3. According to claim 1, a digital intelligent operation and maintenance method for relay protection is characterized in that: According to the preset importance value of the relay protection device, the steps to determine the number of robots sent to the relay protection device for operation and maintenance are as follows: Obtain the total power load used in the key area of ​​the load power protected by the relay protection device, and divide the total power load used in the key area by the total power load of the load protected by the relay protection device to obtain the load power proportion of the key area; Obtain the daily flow of people in the safe where the relay protection device is located, and normalize the daily flow of people to obtain the flow ratio; Obtain the cost of the relay protection device equipment, normalize the cost, and obtain the equipment cost ratio; Add the load power proportion, personnel proportion and equipment cost proportion of the relay protection device to obtain the preset importance value of the relay protection device; match the preset importance value with the table of the number of operation and maintenance robots corresponding to the preset importance value to determine the number of robots sent to the relay protection device for operation and maintenance.

4. A digital intelligent operation and maintenance method for relay protection according to claim 1, characterized in that: The steps for calculating the priority value of each robot in the set of robots that can perform maintenance to be dispatched to the relay protection device for maintenance are as follows: Obtain the total number of operations and the total number of successful operations for each fault type in the future fault type collection of the relay protection device under operation and maintenance from the historical operation and maintenance records of each robot in the set of robots that can be operated and maintained, and divide the total number of successful operations and maintenance by the total number of operations and maintenance to obtain the operation and maintenance success ratio for the corresponding fault type; Calculate the mean of the operation and maintenance success ratios of all fault types to obtain the operation and maintenance success value of the corresponding robot; Obtain the historical operation and maintenance records of each robot in the set of robots that can be operated and maintained, the future fault type collection of the operated and maintained relay protection device, the operation and maintenance time of each fault type, and normalize the operation and maintenance time of each fault type to obtain the operation and maintenance time ratio of the corresponding fault type; Calculate the average of the operation and maintenance time ratios of all fault types to obtain the operation and maintenance time value of the corresponding robot; The operation and maintenance success value of the robot is subtracted from the operation and maintenance time value to obtain the operation and maintenance experience value of the robot; the priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value and remaining power, the distance to the relay protection device and the maintenance record.

5. A digital intelligent operation and maintenance method for relay protection according to claim 4, characterized in that: The steps for calculating the priority value of each robot to be dispatched to the relay protection device for operation and maintenance based on the robot's operation and maintenance experience value and remaining power, the distance to the relay protection device, and the maintenance record are as follows: Obtain the current remaining power of each robot in the set of robots that can be operated and maintained, and obtain the average hourly power consumption of each robot during operation, and divide the current remaining power by the average hourly power consumption to obtain the average available operating time; The average runnable time is normalized to obtain the runnable time ratio of each robot; The current position of each robot in the set of robots that can be operated and maintained and the position of the relay protection device are obtained, and the shortest driving distance from the current position of each robot to the position of the relay protection device is calculated by a dynamic programming algorithm, and the shortest driving distance is normalized to obtain the driving distance ratio of each robot; The priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value, operating time ratio, driving distance ratio and maintenance record.

6. A digital intelligent operation and maintenance method for relay protection according to claim 5, characterized in that: The steps for calculating the priority value of each robot to be dispatched to the relay protection device for operation and maintenance based on the robot's operation and maintenance experience value, the ratio of available operating time, the ratio of driving distance, and the maintenance record are as follows: Obtain the average maintenance time interval of each robot in the set of robots that can be operated and maintained, and calculate the time interval from the current time to the last maintenance time, and subtract the average maintenance time interval from the time interval from the last maintenance time to obtain the near maintenance time interval, and normalize the near maintenance time interval to obtain the near maintenance time interval ratio of each robot; The priority value of each robot to be dispatched to the relay protection device for operation and maintenance is calculated based on the robot's operation and maintenance experience value and the ratio of the operable time, the driving distance ratio and the ratio of the adjacent maintenance time interval. The calculation formula is: T=Sz+Sx-Sm-SQ, where T is the priority value, Sz, Sx, Sm, and SQ are the operation and maintenance experience value and the ratio of the operable time, the driving distance ratio and the ratio of the adjacent maintenance time interval, respectively.

7. A digital intelligent operation and maintenance system for relay protection, used to implement a digital intelligent operation and maintenance method for relay protection according to any one of claims 1 to 6, characterized in that: The system is applied to a server, and the server is used to dispatch a robot to operate and maintain a relay protection device. The system includes: Fault prediction module: obtains the operating status data of the relay protection device in real time and inputs it into the preset fault identification model to identify whether the relay protection device will have faults in the future; No need for operation and maintenance module: If there is no fault in the relay protection device in the future, there is no need to dispatch robots for operation and maintenance of the relay protection device; Robot determination module: If the relay protection device has a fault in the future, the fault type set is determined through the preset fault identification model, and the set of robots that can perform operation and maintenance is determined based on the fault type set; Quantity determination module: determines the number of robots to be sent to the relay protection device for operation and maintenance from the set of robots that can perform operation and maintenance according to the preset importance value of the relay protection device; Priority value calculation module: calculates the priority value of each robot in the set of robots that can perform operation and maintenance to be dispatched to the relay protection device for operation and maintenance; Dispatching operation and maintenance module: selects a corresponding number of robots from the set of robots that can perform operation and maintenance in descending order of priority values.

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