Substation equipment inspection method and related device

Abstract

The invention discloses a transformer substation equipment inspection method, a transformer substation equipment inspection device, transformer substation equipment inspection equipment and a computer readable storage medium. The method comprises the steps that an unmanned aerial vehicle acquires inspection demand data sent by task equipment; determining patrol task data based on the patrol demand data, the field environment data and the field patrol equipment condition data; determining an unmanned aerial vehicle patrol route based on the patrol task data, and performing unmanned aerial vehicle patrol based on the unmanned aerial vehicle patrol route to obtain mobile patrol data; corresponding cameras are activated based on the patrol task data, and fixed patrol data are acquired based on all the cameras; performing patrol monitoring operation on the mobile patrol data and the fixed patrol data based on a patrol monitoring model to obtain a patrol result; and sending and displaying the patrol result according to a preset path. The inspection efficiency and quality of substation equipment are improved, and safe and stable operation of a power system is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of power equipment management, and more specifically, relates to a substation equipment inspection method, a substation equipment inspection device, a substation equipment inspection device, and a computer-readable storage medium. Background Art

[0002] As a key component of the power system, the safe and stable operation of the substation equipment is directly related to the reliable power supply of the entire power network. Equipment inspection is an important means to ensure the normal operation of the substation, which needs to be carried out regularly and with guaranteed quality.

[0003] In related technologies, substation inspections mainly rely on manual work, intelligent inspection robots or fixed cameras. In terms of manual inspections, due to limited human resources, it is difficult for staff to conduct comprehensive and detailed inspections of equipment, resulting in low inspection quality. Moreover, in unmanned substations, bad weather will prevent personnel from entering the station in time, making it impossible to conduct inspections on time, the operating status of equipment cannot be grasped in time, and safety hazards are difficult to discover and deal with in time.

[0004] Therefore, how to improve the efficiency and quality of substation equipment inspections and ensure the safe and stable operation of the power system is a key issue that technical personnel in this field are concerned about. Summary of the invention

[0005] The purpose of this application is to provide a substation equipment inspection method, a substation equipment inspection device, a substation equipment inspection device, and a computer-readable storage medium to improve the efficiency and quality of substation equipment inspections and ensure the safe and stable operation of the power system.

[0006] In view of the above defects or improvement needs of the prior art, the present invention provides a substation equipment inspection method, comprising:

[0007] The drone obtains the patrol demand data sent by the mission equipment;

[0008] Determine patrol task data based on the patrol demand data, on-site environment data, and on-site patrol equipment condition data;

[0009] Determine a drone patrol route based on the patrol mission data, and perform drone patrol based on the drone patrol route to obtain mobile patrol data;

[0010] activating corresponding cameras based on patrol mission data, and acquiring fixed patrol data based on all the cameras;

[0011] Performing patrol monitoring operations on the mobile patrol data and the fixed patrol data based on the patrol monitoring model to obtain patrol results;

[0012] The inspection results are sent and displayed according to the preset path.

[0013] Optionally, also include:

[0014] When a partial discharge monitoring instruction is obtained, the UAV plans a monitoring route based on the partial discharge monitoring instruction;

[0015] The circuit of the monitoring route is monitored by a partial discharge monitor to obtain monitoring data;

[0016] Monitoring the monitoring data in real time;

[0017] When an abnormal signal is monitored, a partial discharge abnormality message is sent.

[0018] Optionally, also include:

[0019] When there is an abnormality in the inspection result, an alarm message is sent.

[0020] Optionally, also include:

[0021] The drone reads the power grid data to obtain status data; wherein the status data includes: pressure gauge data, switch position status data, and pressure plate insertion and retraction status data;

[0022] Performing data monitoring based on the status data;

[0023] When abnormal data is detected, the power grid data status is abnormal.

[0024] Optionally, also include:

[0025] The drone acquires video data during flight;

[0026] Performing environmental anomaly detection based on the video data to obtain an environmental detection result;

[0027] When abnormal data appears in the environmental detection result, an environmental abnormality message is sent.

[0028] The present application also provides a substation equipment inspection device, comprising:

[0029] A patrol demand acquisition module is used to obtain patrol demand data sent by task equipment;

[0030] An inspection task formulation module is used to determine inspection task data based on the inspection demand data, on-site environment data, and on-site inspection equipment condition data;

[0031] A drone patrol module is used to determine a drone patrol route based on the patrol mission data, and to perform drone patrol based on the drone patrol route to obtain mobile patrol data;

[0032] A camera patrol module is used to activate corresponding cameras based on patrol task data and obtain fixed patrol data based on all the cameras;

[0033] A patrol monitoring module, used for performing patrol monitoring operations on the mobile patrol data and the fixed patrol data based on a patrol monitoring model to obtain patrol results;

[0034] The inspection result sending module is used to send and display the inspection result according to a preset path.

[0035] Optionally, also include:

[0036] The partial discharge monitoring module is used to plan a monitoring route based on the partial discharge monitoring instruction when a partial discharge monitoring instruction is obtained; monitor the circuit of the monitoring route through a partial discharge monitor to obtain monitoring data; monitor the monitoring data in real time; and send a partial discharge abnormality message when an abnormal signal is monitored.

[0037] Optionally, also include:

[0038] The abnormal alarm module is used to send an alarm message when there is an abnormal situation in the inspection result.

[0039] The present application also provides a substation equipment inspection device, including:

[0040] Memory for storing computer programs;

[0041] The processor is used to implement the steps of the substation equipment inspection method as described above when executing the computer program.

[0042] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the substation equipment inspection method as described above are implemented.

[0043] The present application provides a method for inspecting substation equipment, including: obtaining inspection demand data sent by a task equipment by a drone; determining inspection task data based on the inspection demand data, on-site environment data, and on-site inspection equipment status data; determining a drone inspection route based on the inspection task data, and performing drone inspections based on the drone inspection route to obtain mobile inspection data; activating corresponding cameras based on the inspection task data, and obtaining fixed inspection data based on all the cameras; performing inspection monitoring operations on the mobile inspection data and the fixed inspection data based on a inspection monitoring model to obtain inspection results; and sending and displaying the inspection results according to a preset path.

[0044] It has the following beneficial effects:

[0045] By planning inspection tasks through multi-source data fusion, using drones and cameras to work together to obtain comprehensive data, and using intelligent model analysis to obtain accurate results and display them in a timely manner, the efficiency and accuracy of inspections have been greatly improved, effectively ensuring the safe and stable operation of substation equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0047] Figure 1 A flowchart of a substation equipment inspection method provided in an embodiment of the present application;

[0048] Figure 2 A schematic diagram of the structure of a substation equipment inspection device provided in an embodiment of the present application;

[0049] Figure 3 A schematic diagram of the structure of the substation equipment inspection equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The purpose of this application is to provide a substation equipment inspection method, a substation equipment inspection device, a substation equipment inspection device, and a computer-readable storage medium to improve the efficiency and quality of substation equipment inspections and ensure the safe and stable operation of the power system.

[0051] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0052] The following describes a substation equipment inspection method provided by the present application through an embodiment.

[0053] Please refer to Figure 1 , Figure 1 A flowchart of a substation equipment inspection method provided in an embodiment of the present application.

[0054] In this embodiment, the method may include:

[0055] S101, the UAV obtains the patrol demand data sent by the mission equipment;

[0056] In this step, the mission equipment (which can be the monitoring system or control center in the substation) determines the specific requirements for inspection based on the operating status of the substation equipment, maintenance plan and other factors, and then converts these requirements into data and sends them to the drone. This process is based on the principle of data communication and uses wireless communication technology (such as Wi-Fi, Bluetooth, 4G / 5G, etc.) to achieve data transmission and ensure that the drone can receive instructions from the mission equipment.

[0057] Among them, in terms of hardware, the drone is equipped with a corresponding wireless communication module, which can establish a communication connection with the mission equipment. At the software level, the drone runs a program for receiving data, which is designed to be able to recognize and receive patrol demand data in a specific format. For example, when the mission equipment sends data containing information such as patrol areas, patrol key equipment, and patrol time requirements in accordance with a predetermined protocol, the drone's receiving program parses and stores this data for use in subsequent steps.

[0058] It can be seen that this step realizes the automatic allocation of patrol tasks, and the drone can clearly identify the work tasks without manual intervention, which improves the efficiency of task assignment. At the same time, through the communication connection with the task equipment, it can ensure that the drone obtains the latest and most accurate patrol requirements, and adjusts the patrol strategy in time according to the actual situation, which improves the flexibility and adaptability of the entire patrol system.

[0059] S102, determining inspection task data based on inspection demand data, on-site environment data, and on-site inspection equipment condition data;

[0060] Based on S101, this step considers multiple factors to accurately plan the patrol mission. The patrol demand data clarifies the basic patrol objectives. The on-site environmental data (such as weather conditions, lighting conditions, obstacle distribution, etc.) will affect the flight safety of the drone and the camera's shooting effect. The on-site patrol equipment condition data (such as camera performance, battery power, storage capacity, etc.) determines the actual working ability of the drone. Through the comprehensive analysis of these data, algorithms and logical judgments are used to determine the optimal patrol mission data, such as determining the appropriate flight altitude, speed, camera shooting mode, etc.

[0061] In this step, the drone is equipped with a variety of sensors to collect on-site environmental data, such as meteorological sensors to obtain weather information, and visual sensors to detect obstacles. At the same time, its own status monitoring system monitors the patrol equipment status data in real time. In terms of software algorithms, data fusion technology is used to integrate patrol demand data with collected environmental and equipment data. For example, based on factors such as weather conditions (such as foggy weather, it is necessary to reduce the flight speed and adjust the camera focal length to ensure shooting clarity) and the remaining power of the equipment (when the power is low, priority is given to completing the patrol of key areas or planning the shortest patrol route), specific patrol task data is generated through preset rules and algorithms, including flight path planning, camera working parameter settings, etc.

[0062] In this step, the scientificity and rationality of patrol mission planning are improved. It can adapt to different on-site conditions, give full play to the performance of drones and cameras, and ensure that patrol missions are completed efficiently under the premise of safety. At the same time, considering the equipment conditions helps to extend the service life of the equipment, reduce the risk of patrol interruption due to equipment failure, and improve the reliability and stability of the entire patrol system.

[0063] S103, determining a drone patrol route based on the patrol mission data, and performing drone patrol based on the drone patrol route to obtain mobile patrol data;

[0064] Based on S102, in this step, according to the goals, constraints and optimization goals (such as full coverage, high efficiency and speed, etc.) set in the patrol mission data, the path planning algorithm (such as A* algorithm, Di jkstra algorithm, etc.) is used to calculate the optimal drone patrol route. During the patrol process, the drone flies according to the planned route and collects data using the camera and other equipment it carries. These data are mobile patrol data, including equipment appearance images, temperature data (through infrared cameras), etc., which reflect the operating status of the equipment at different positions and angles.

[0065] At the software level, the drone runs a path planning program. After entering the patrol mission data, the program calculates the patrol route based on the preset map information (substation layout map) and algorithm. The drone's flight control system controls the drone's flight attitude and position based on the generated route instructions. In terms of hardware, the drone's flight control system, motors, propellers, etc. work together to achieve flight movement. The camera collects data according to the set parameters (such as shooting interval, resolution, etc.), and transmits the collected data to the drone's storage system or transmits it to the ground control center in real time to complete the acquisition of mobile patrol data.

[0066] This step realizes the autonomous and efficient inspection of drones, and improves the inspection coverage and accuracy. The optimized inspection route can reduce flight time and energy consumption, and improve work efficiency. At the same time, accurate mobile inspection data provides rich raw materials for subsequent equipment status analysis, which helps to timely discover potential equipment problems.

[0067] S104, activating corresponding cameras based on the patrol task data, and acquiring fixed patrol data based on all cameras;

[0068] Based on S103, the patrol task data in this step includes patrol requirements for different equipment and areas, and cameras with corresponding functions are activated according to these requirements. For example, high-frequency partial discharge cameras are activated for areas that require partial discharge monitoring, and AI-based image recognition cameras are activated for equipment appearance and status recognition. The activated camera shoots or monitors the equipment at a specific position and angle, and obtains equipment-related data at a fixed position, such as precise images of the equipment, partial discharge signals, etc. These data are fixed patrol data.

[0069] In this step, the control system of the drone controls the power supply and working mode switching of the camera according to the instructions in the patrol mission data. The camera itself has the corresponding signal acquisition and processing capabilities. For example, the high-frequency partial discharge camera can detect and process the high-frequency signal generated by partial discharge, and the image recognition camera can pre-process the captured image (such as noise reduction, contrast enhancement, etc.). The data collected by the camera is transmitted to the storage or processing unit of the drone via wired (such as a data cable connecting the drone and the camera) or wireless (such as Wi-Fi transmission) mode to complete the collection of fixed patrol data.

[0070] This step realizes targeted data collection, selects the most suitable camera to work according to different inspection needs, and improves the accuracy and effectiveness of data collection. At the same time, reasonable activation of the camera can save energy and storage space, extend the overall working time of the equipment, and ensure the acquisition of the most valuable inspection data under limited resources.

[0071] S105, performing patrol monitoring operations on the mobile patrol data and the fixed patrol data based on the patrol monitoring model to obtain patrol results;

[0072] Based on S104, the patrol monitoring model of this step is a pre-trained algorithm model based on machine learning, deep learning or other artificial intelligence technologies. The model can identify the equipment operation status characteristics reflected in the mobile patrol data and fixed patrol data by learning a large amount of normal and abnormal status data of the equipment. After the actual patrol data collected is input into the model, the model analyzes and judges according to the learned patterns and rules, and obtains patrol results such as whether the equipment is operating normally and what problems exist.

[0073] In this step, during the training phase, various data (including images, signals, etc.) of substation equipment in normal operation and different fault states are collected as training samples, and these samples are used to train the monitoring model, and the parameters of the model are adjusted to improve the recognition accuracy. During actual monitoring, the drone transmits the collected mobile and fixed patrol data to the computing device running the monitoring model (such as the server of the ground control center or the processing unit of the drone itself, if its computing power is sufficient). The model extracts, analyzes and compares the input data, and outputs the patrol results according to the preset thresholds and judgment rules, such as conclusions such as whether the equipment is normal, there is a risk of overheating, and partial discharge is abnormal.

[0074] In this step, intelligent monitoring of equipment status is achieved, which can quickly and accurately discover potential equipment problems and improve the accuracy and efficiency of patrol monitoring. Compared with traditional manual judgment or simple threshold judgment methods, model-based monitoring can adapt to more complex equipment operation conditions, reduce false alarms and missed alarms, provide a more reliable basis for equipment maintenance, and help take timely measures to ensure the safe operation of equipment.

[0075] S106, sending and displaying the inspection results according to the preset path.

[0076] Based on S105, in this step, the preset path specifies the transmission destination and display method of the inspection results. The inspection result data is transmitted to the designated receiving device (such as the display screen of the substation monitoring room, the mobile terminal of the maintenance personnel, etc.) through network communication technology (such as Ethernet, Wi-Fi, etc.). The receiving device presents the inspection results to relevant personnel according to the preset display format (such as charts, images, text prompts, etc.) so that they can understand the equipment inspection status in a timely manner.

[0077] In terms of software, the drone or related data processing equipment runs the data sending program, and packages and sends the inspection result data according to the preset network protocol and address. The receiving device runs the corresponding receiving and display program to parse and process the received data and convert it into a visual form. For example, for devices with abnormalities, they are highlighted on the display with a red flashing icon, and the type of abnormality and related data are listed in detail. In terms of hardware, network equipment (routers, switches, etc.) is required to ensure the stability of data transmission, and display devices (monitors, mobile terminal screens, etc.) have sufficient resolution and display capabilities to clearly display the inspection results.

[0078] In this step, it is ensured that the inspection results can be communicated to relevant personnel in a timely and accurate manner, and rapid information sharing is achieved. Both on-site maintenance personnel and remote monitoring personnel can obtain equipment status information in the first place, making it easier to make decisions in a timely manner (such as arranging maintenance, adjusting operating parameters, etc.), thereby improving the response speed and management efficiency of substation equipment maintenance.

[0079] Optionally, also include:

[0080] When there are abnormal conditions in the inspection results, an alarm message is sent.

[0081] In summary, this embodiment plans inspection tasks through multi-source data fusion, uses drones and cameras to work together to obtain comprehensive data, and uses intelligent model analysis to obtain accurate results and display them in a timely manner, which greatly improves inspection efficiency and accuracy and effectively ensures the safe and stable operation of substation equipment.

[0082] Optionally, also include:

[0083] Step 1: When a partial discharge monitoring instruction is obtained, the UAV plans a monitoring route based on the partial discharge monitoring instruction;

[0084] Step 2, monitoring the circuit of the monitoring route by using a partial discharge monitor to obtain monitoring data;

[0085] Step 3: monitor the monitoring data in real time;

[0086] Step 4: When an abnormal signal is detected, a partial discharge abnormality message is sent.

[0087] In this optional solution, after receiving the partial discharge monitoring command, the entire process is based on the principles of precise positioning and efficient monitoring. The drone plans a reasonable monitoring route according to the command, uses the partial discharge monitor it carries, and uses electromagnetic induction and other principles to detect the partial discharge signal of the circuit, and then monitors the monitoring data in real time. Once an abnormal signal is found, it immediately sends a partial discharge abnormality message. This series of operations is designed to timely and accurately capture the partial discharge problems that may exist in substation equipment and ensure the safe and stable operation of the equipment.

[0088] Among them, the drone system is equipped with a command receiving and processing module. When the local discharge monitoring command is obtained, it is combined with the built-in substation geographic information and equipment layout data, and a suitable monitoring route is calculated through a specific path planning algorithm.

[0089] As a key hardware device, the partial discharge monitor's sensor continuously collects circuit signals during flight. After signal conditioning (amplification, filtering, etc.) and analog-to-digital conversion by the internal circuit, the data is transmitted to the drone's data processing unit.

[0090] The monitoring program in the data processing unit analyzes the monitoring data in real time. Through the preset abnormal signal judgment algorithm (such as threshold judgment based on characteristic parameters such as discharge amount and discharge phase), once it is determined to be an abnormal signal, a partial discharge abnormality message is immediately sent to the relevant monitoring system or operation and maintenance personnel terminal through the wireless communication module (such as 4G / 5G module).

[0091] This optional solution improves the initiative and timeliness of partial discharge monitoring, and can issue an alarm when potential problems first appear, effectively preventing further deterioration of equipment failures. Optimized monitoring route planning reduces unnecessary flight time and energy consumption, extends the single operation time of the drone, and improves monitoring efficiency. Real-time monitoring and rapid alarm mechanisms help operation and maintenance personnel respond quickly and take timely measures to reduce equipment maintenance costs and power outage risks, and ensure the reliability of power supply to substations.

[0092] Optionally, also include:

[0093] Step 1: The drone reads the power grid data to obtain status data; the status data includes: pressure gauge data, switch position status data, and pressure plate insertion and retraction status data;

[0094] Step 2: Perform data monitoring based on status data;

[0095] Step 3: When abnormal data is detected, the power grid data status is abnormal.

[0096] This optional solution is based on the data collection and intelligent monitoring principle of drones. During the flight, drones read power grid data through specific sensors to obtain the operating status information of the equipment, and then conduct real-time monitoring based on these data. By comparing and analyzing the data with the normal status data, data anomalies are discovered in time and abnormal power grid data status notifications are issued. This helps to fully control the operating status of substation equipment and ensure the stable operation of the power grid.

[0097] The drone is equipped with special power grid data reading sensors (such as pressure sensors, position sensors, pressure plate status sensors, etc.). During the flight, these sensors interact with the power grid equipment through physical or electromagnetic induction to obtain real-time status data of the equipment, such as pressure gauge data, switch position status data, pressure plate insertion and retraction status data, etc.

[0098] The data processing unit of the drone runs a data monitoring program, which pre-stores the data range and characteristic patterns of various types of equipment under normal operating conditions. When the collected real-time data is input, the program analyzes and judges it through algorithms (such as data difference comparison, trend analysis, etc.).

[0099] Once the data is determined to be abnormal, the drone uses its communication module (such as a wireless communication network) to send a power grid data status abnormality message to the designated monitoring terminal or operation and maintenance personnel's equipment. The message contains specific information about the abnormal data and the identification of the relevant equipment.

[0100] This optional solution expands the functions of drones, realizes real-time collection and monitoring of various data of power grids, and provides more dimensional data support for a comprehensive understanding of the operating status of equipment. Timely and accurate abnormal data alarms can help operation and maintenance personnel quickly locate problematic equipment and take measures in advance to avoid equipment failures from causing serious impacts on power grid operations, thereby improving the stability and reliability of power grid operations. The automated data monitoring and alarm process reduces the workload and human errors of manual inspections, and improves the efficiency and quality of inspections.

[0101] Optionally, also include:

[0102] Step 1, the drone obtains video data during flight;

[0103] Step 2: Perform environmental anomaly detection based on video data to obtain environmental detection results;

[0104] Step 3: When abnormal data appears in the environmental detection results, an environmental abnormality message is sent.

[0105] This optional solution is based on the principle of environmental perception and anomaly detection of drones. During the flight inspection, the drone uses its onboard video acquisition equipment to obtain video data of the surrounding environment, and then processes these video data through image analysis technology to detect abnormal conditions in the environment in real time, such as fire, smoke, foreign body intrusion, etc. Once an abnormality is found, an environmental abnormality message is sent immediately to ensure the safety of the substation environment and prevent external factors from causing damage to the equipment.

[0106] The drone’s camera continuously collects video data during flight, which is transmitted to the drone’s image processing unit. The image processing unit runs an environmental anomaly detection algorithm based on deep learning models (such as convolutional neural networks) or traditional image processing algorithms (such as object detection, image segmentation, etc.).

[0107] The algorithm analyzes each frame of the video data, extracts the feature information (such as color, texture, shape, etc.) in the image, and compares it with the pre-trained normal environment model or the set abnormal feature threshold. For example, when detecting smoke, the area and concentration changes of specific color areas (such as gray and black smoke-like areas) in the image are analyzed to determine whether there is a fire hazard.

[0108] When abnormal data is detected, the drone sends an environmental abnormality message to the monitoring center or relevant personnel through a communication module (such as a wireless communication network). The message content includes the type of abnormality (such as fire, foreign object intrusion, etc.), the location of the occurrence (obtained through the drone positioning system) and related images or video clips, so as to quickly confirm and handle the abnormal situation.

[0109] In this optional solution, real-time monitoring of the substation environment is achieved, effectively preventing equipment damage and safety accidents caused by external environmental factors, such as equipment burning caused by fire and equipment short circuit caused by foreign objects. Automated environmental anomaly detection and alarm improves the efficiency and accuracy of environmental monitoring, reduces omissions that may occur in manual inspections, and ensures a safe operating environment for substations. Timely sending of abnormal messages helps relevant personnel respond quickly and take effective emergency measures (such as fire extinguishing, removing foreign objects, etc.), reduce accident losses, and maintain the normal operation of the power system.

[0110] A substation equipment inspection device provided in an embodiment of the present application is introduced below. The substation equipment inspection device and the substation equipment inspection method described below can refer to each other.

[0111] Please refer to Figure 2 , Figure 2 A schematic diagram of the structure of a substation equipment inspection device provided in an embodiment of the present application.

[0112] In this embodiment, the device may include:

[0113] The patrol demand acquisition module 100 is used to acquire patrol demand data sent by the task equipment;

[0114] The inspection task formulation module 200 is used to determine the inspection task data based on the inspection demand data, the on-site environment data, and the on-site inspection equipment condition data;

[0115] The drone patrol module 300 is used to determine the drone patrol route based on the patrol mission data, and to perform drone patrol based on the drone patrol route to obtain mobile patrol data;

[0116] A camera patrol module 400 is used to activate corresponding cameras based on patrol task data and obtain fixed patrol data based on all cameras;

[0117] The patrol monitoring module 500 is used to perform patrol monitoring operations on the mobile patrol data and the fixed patrol data based on the patrol monitoring model to obtain patrol results;

[0118] The inspection result sending module 600 is used to send and display the inspection results according to a preset path.

[0119] Optionally, also include:

[0120] The partial discharge monitoring module is used to plan a monitoring route based on the partial discharge monitoring instruction when a partial discharge monitoring instruction is obtained; monitor the circuit of the monitoring route through a partial discharge monitor to obtain monitoring data; monitor the monitoring data in real time; and send a partial discharge abnormality message when an abnormal signal is monitored.

[0121] Optionally, also include:

[0122] The abnormal alarm module is used to send an alarm message when there is an abnormal situation in the patrol results.

[0123] This application also provides substation equipment inspection equipment, please refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of a substation equipment inspection device provided in an embodiment of the present application. The substation equipment inspection device may include:

[0124] Memory for storing computer programs;

[0125] The processor is used to implement the steps of any one of the above-mentioned substation equipment inspection methods when executing the computer program.

[0126] like Figure 3 , which is a schematic diagram of the structure of a substation equipment inspection device, the substation equipment inspection device may include: a processor 10, a memory 11, a communication interface 12 and a communication bus 13. The processor 10, the memory 11 and the communication interface 12 communicate with each other through the communication bus 13.

[0127] In the embodiment of the present application, the processor 10 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices.

[0128] The processor 10 may call a program stored in the memory 11. Specifically, the processor 10 may execute operations in an embodiment of the abnormal IP identification method.

[0129] The memory 11 is used to store one or more programs, which may include program codes, and the program codes include computer operation instructions. In the embodiment of the present application, the memory 11 at least stores programs for implementing the following functions:

[0130] The drone obtains the patrol demand data sent by the mission equipment;

[0131] Determine inspection task data based on inspection demand data, on-site environment data, and on-site inspection equipment condition data;

[0132] Determine the UAV patrol route based on the patrol mission data, and conduct UAV patrol based on the UAV patrol route to obtain mobile patrol data;

[0133] Activate the corresponding camera based on the patrol task data, and obtain fixed patrol data based on all cameras;

[0134] Based on the patrol monitoring model, patrol monitoring operations are performed on the mobile patrol data and the fixed patrol data to obtain patrol results;

[0135] Send and display the inspection results according to the preset path.

[0136] In a possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0137] In addition, the memory 11 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0138] The communication interface 12 may be an interface of a communication module, and is used to connect to other devices or systems.

[0139] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the substation equipment inspection device in the embodiment of the present application. In actual applications, the substation equipment inspection device may include Figure 3 More or fewer components than shown, or combinations of certain components.

[0140] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned substation equipment inspection methods can be implemented.

[0141] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0142] For an introduction to the computer-readable storage medium provided in this application, please refer to the above method embodiment, and this application will not go into details here.

[0143] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0144] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0145] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0146] The above is a detailed introduction to a substation equipment inspection method, a substation equipment inspection device, a substation equipment inspection device, and a computer-readable storage medium provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A substation equipment inspection method, characterized in that: include: The drone obtains the patrol demand data sent by the mission equipment; Determine patrol task data based on the patrol demand data, on-site environment data, and on-site patrol equipment condition data; Determine a drone patrol route based on the patrol mission data, and perform drone patrol based on the drone patrol route to obtain mobile patrol data; activating corresponding cameras based on patrol mission data, and acquiring fixed patrol data based on all the cameras; Performing patrol monitoring operations on the mobile patrol data and the fixed patrol data based on the patrol monitoring model to obtain patrol results; The inspection results are sent and displayed according to the preset path.

2. The substation equipment inspection method according to claim 1, characterized in that: Also includes: When a partial discharge monitoring instruction is obtained, the UAV plans a monitoring route based on the partial discharge monitoring instruction; The circuit of the monitoring route is monitored by a partial discharge monitor to obtain monitoring data; Monitoring the monitoring data in real time; When an abnormal signal is monitored, a partial discharge abnormality message is sent.

3. The substation equipment inspection method according to claim 1, characterized in that: Also includes: When there is an abnormality in the inspection result, an alarm message is sent.

4. The substation equipment inspection method according to claim 1, characterized in that: Also includes: The drone reads the power grid data to obtain status data; wherein the status data includes: pressure gauge data, switch position status data, and pressure plate insertion and retraction status data; Performing data monitoring based on the status data; When abnormal data is detected, the power grid data status is abnormal.

5. The substation equipment inspection method according to claim 1, characterized in that: Also includes: The drone acquires video data during flight; Performing environmental anomaly detection based on the video data to obtain an environmental detection result; When abnormal data appears in the environmental detection result, an environmental abnormality message is sent.

6. A substation equipment inspection device, characterized in that: include: A patrol demand acquisition module is used to obtain patrol demand data sent by task equipment; An inspection task formulation module is used to determine inspection task data based on the inspection demand data, on-site environment data, and on-site inspection equipment condition data; A drone patrol module is used to determine a drone patrol route based on the patrol mission data, and to perform drone patrol based on the drone patrol route to obtain mobile patrol data; A camera patrol module is used to activate corresponding cameras based on patrol task data and obtain fixed patrol data based on all the cameras; A patrol monitoring module, used for performing patrol monitoring operations on the mobile patrol data and the fixed patrol data based on a patrol monitoring model to obtain patrol results; The inspection result sending module is used to send and display the inspection result according to a preset path.

7. The substation equipment inspection device according to claim 6, characterized in that: Also includes: The partial discharge monitoring module is used to plan a monitoring route based on the partial discharge monitoring instruction when a partial discharge monitoring instruction is obtained; monitor the circuit of the monitoring route through a partial discharge monitor to obtain monitoring data; monitor the monitoring data in real time; and send a partial discharge abnormality message when an abnormal signal is monitored.

8. The substation equipment inspection device according to claim 7, characterized in that: Also includes: The abnormal alarm module is used to send an alarm message when there is an abnormal situation in the inspection result.

9. A substation equipment inspection device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the substation equipment inspection method as described in any one of claims 1 to 5 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the substation equipment inspection method according to any one of claims 1 to 5 are implemented.

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