Photovoltaic power station inspection control method and system

Abstract

The invention relates to a photovoltaic power station inspection control method and system, and relates to the technical field of new energy. The method comprises the following steps: acquiring first abnormal information corresponding to first monitoring data acquired by a monitoring camera, acquiring second abnormal information corresponding to second monitoring data acquired by an unmanned aerial vehicle, and acquiring third abnormal information corresponding to third monitoring data acquired by a ground robot; determining a first inspection instruction, a second inspection instruction and a third inspection instruction according to an inspection task, the first abnormal information, the second abnormal information and the third abnormal information; and controlling the monitoring camera to execute the first inspection instruction, controlling the unmanned aerial vehicle to execute the second inspection instruction, and controlling the ground robot to execute the third inspection instruction. According to the method, the photovoltaic power station can be inspected more comprehensively.

Description

Technical Field

[0001] The present disclosure relates to the field of fire protection for photovoltaic power stations, and in particular, to a control method and system for inspection of photovoltaic power stations. Background Art

[0002] In the field of fire protection in photovoltaic power plants, traditional monitoring and fire protection methods mainly rely on traditional manual inspections, drone inspection systems, ground robot inspection systems and video monitoring technology. Traditional manual inspection methods are direct but inefficient, and there are high safety risks; drone inspection systems can conduct high-altitude inspections, but are limited by endurance and environmental conditions; ground robot inspection systems can conduct detailed inspections on the ground, but have limitations in high altitudes or difficult-to-reach areas, and the investment cost is high; video monitoring technology can monitor key areas in real time, but the coverage is limited. The above technologies are difficult to meet the comprehensive and timely fire safety needs in complex environments such as photovoltaic power plants. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present application provides a control method and system for inspection of a photovoltaic power station.

[0004] According to a first aspect of the present application, a control method for inspection of a photovoltaic power station is provided, comprising: Obtain first abnormal information corresponding to first monitoring data collected by the surveillance camera, obtain second abnormal information corresponding to second monitoring data collected by the drone, and obtain third abnormal information corresponding to third monitoring data collected by the ground robot; Determine a first inspection instruction, a second inspection instruction, and a third inspection instruction according to the inspection task, the first abnormal information, the second abnormal information, and the third abnormal information; The monitoring camera is controlled to execute the first inspection instruction, the drone is controlled to execute the second inspection instruction, and the ground robot is controlled to execute the third inspection instruction.

[0005] Optionally, the method comprises: Obtaining an inspection task, wherein the inspection task includes an object to be inspected and an inspection accuracy, an inspection priority, and an inspection frequency corresponding to the object to be inspected; The determining, according to the inspection task, the first abnormal information, the second abnormal information, and the third abnormal information, a first inspection instruction, a second inspection instruction, and a third inspection instruction comprises: determining an abnormal object according to the first abnormal information, the second abnormal information, and the third abnormal information; Improve the inspection accuracy, inspection priority and inspection frequency corresponding to the abnormal objects in the inspection task to obtain the target inspection task; The first inspection instruction, the second inspection instruction and the third inspection instruction are determined according to the target inspection task.

[0006] Optionally, the obtaining first abnormal information corresponding to the first monitoring data collected by the surveillance camera includes: Acquire first abnormal information transmitted by a first controller, wherein the first controller acquires the first monitoring data from the surveillance camera and determines the first abnormal information according to the first monitoring data; The controlling the monitoring camera to execute the first inspection instruction includes: The first controller controls the drone to execute the second inspection instruction.

[0007] Optionally, the obtaining second abnormal information corresponding to the second monitoring data collected by the drone includes: Acquire second abnormal information transmitted by a second controller, the second controller acquires second monitoring data from the UAV, and determines the second abnormal information according to the second monitoring data; The controlling the drone to execute the second inspection instruction includes: The second controller controls the drone to execute the second inspection instruction.

[0008] Optionally, the acquiring the third monitoring data collected by the ground robot and the third abnormal information corresponding to the third monitoring data includes: The third abnormality information transmitted by the ground robot is obtained, and the ground robot is used to determine the third abnormality information according to the collected third monitoring data.

[0009] Optionally, the obtaining third abnormal information corresponding to the third monitoring data collected by the ground robot includes: Acquire third abnormal information transmitted by a third controller, wherein the third controller acquires third monitoring data from the ground robot and determines the third abnormal information according to the third monitoring data; The controlling the ground robot to execute the third inspection instruction comprises: The third controller controls the drone to execute the third inspection instruction.

[0010] Optionally, the method further comprises: After obtaining the first abnormal information, the second abnormal information and the third abnormal information, an alarm is issued.

[0011] According to a second aspect of the present application, a control system for inspection of a photovoltaic power station is provided, comprising: A monitoring camera, a drone, a ground robot and a central controller, wherein the central controller is communicatively connected with the monitoring camera, the drone and the ground robot, and the central controller is used to execute the steps of the control method provided in the first aspect of the present application.

[0012] Optionally, it also includes: A first controller, a second controller and a third controller, wherein the central controller is connected to and controls the monitoring camera via the first controller, the central controller is connected to and controls the drone via the second controller, and the central controller is connected to and controls the ground robot via the third controller.

[0013] Optionally, the first controller, the second controller and the third controller generate an alarm after respectively determining the first abnormal information, the second abnormal information and the third abnormal information.

[0014] The above technical solution integrates multi-source abnormal information collected by monitoring cameras, drones and ground robots, and based on these abnormal information and preset inspection tasks, can obtain targeted inspection instructions and issue them to each inspection device. The above method can improve the comprehensiveness, accuracy and efficiency of photovoltaic power station inspections.

[0015] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 is a flow chart of a control method for inspection of a photovoltaic power station according to an exemplary embodiment; Figure 2 The invention is a block diagram of a control system for inspection of a photovoltaic power station according to an exemplary embodiment. DETAILED DESCRIPTION

[0017] The specific embodiments of the present application are described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present application and are not intended to limit the present application. When the following description relates to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The terms "first", "second", etc. used in this application are to distinguish one element from another element and do not have order and importance.

[0018] Related photovoltaic power station inspection technologies mainly include traditional manual inspection, drone inspection system, ground robot inspection system and video surveillance technology. Traditional manual inspection methods rely on inspectors to conduct equipment inspections through field visits and visual inspections. Although this method is direct, it has the disadvantages of low efficiency, high safety risks, and difficulty in comprehensive coverage, making it difficult to meet the operation and maintenance needs of large-scale photovoltaic power stations.

[0019] The drone inspection system uses drones equipped with high-definition cameras, infrared sensors and other equipment to conduct high-altitude inspections, which can quickly cover large areas. However, this method is limited by the drone's flight time and load capacity, and its flight stability and safety are affected in extreme weather or complex terrain conditions, thus affecting the continuity and reliability of the inspection.

[0020] The ground robot inspection system uses an autonomous ground robot to conduct inspections on the ground, and has multiple functions such as autonomous navigation and data collection. However, this system is mainly limited to ground inspections and has limitations for high altitude or hard-to-reach areas.

[0021] Video surveillance technology achieves real-time monitoring by installing high-definition cameras in key areas of a photovoltaic power station. This method can provide intuitive image information and perform anomaly detection in combination with intelligent analysis technology. However, its main disadvantage is that its coverage is limited. It can only monitor the area near the camera installation location, making it difficult to achieve comprehensive monitoring of the entire photovoltaic power station, and there are monitoring blind spots.

[0022] In view of the deficiencies in the related art, the present application provides a control method and system for inspection of a photovoltaic power station.

[0023] Figure 1 FIG. 1 is a flow chart of a control method for inspection of a photovoltaic power station according to an exemplary embodiment. Figure 1 The control method for the inspection of a photovoltaic power station comprises the following steps: In step 110, first abnormal information corresponding to first monitoring data collected by the surveillance camera is obtained, second abnormal information corresponding to second monitoring data collected by the drone is obtained, and third abnormal information corresponding to third monitoring data collected by the ground robot is obtained; In step 120, a first inspection instruction, a second inspection instruction, and a third inspection instruction are determined according to the inspection task, the first abnormal information, the second abnormal information, and the third abnormal information; In step 130, the surveillance camera is controlled to execute the first inspection instruction, the drone is controlled to execute the second inspection instruction, and the ground robot is controlled to execute the third inspection instruction.

[0024] Here, surveillance cameras are used to monitor fixed key areas of PV power plants, such as substations, control rooms, main channels, etc. Drones are used to monitor large areas of PV power plants, such as PV arrays, high-altitude equipment, and hard-to-reach areas. The drone is equipped with not only a camera but also an infrared thermal imaging sensor. The infrared thermal imaging sensor is used to detect hot spots and abnormal temperatures of PV modules. Ground robots are used to monitor low areas such as ground equipment, cable channels, and support foundations of PV power plants. Ground robots are equipped with not only cameras but also various contact sensors. The above-mentioned various contact sensors, such as temperature sensors, current sensors, vibration sensors, etc., are used to detect the operating status of electrical equipment.

[0025] The first monitoring data refers to the video stream and image data collected by the monitoring camera. The first abnormal information refers to visually identifiable abnormal conditions such as equipment abnormalities, personnel intrusion, and fire hazards. The second monitoring data refers to the video stream, image data, and infrared thermal imaging data collected by drones. The second abnormal information refers to abnormal conditions visible at high altitudes such as hot spots on photovoltaic panels, component damage, and large-area abnormalities. The third monitoring data refers to close-range image data, video streams, and operating data of various electrical equipment collected by ground robots. The third abnormal information refers to abnormal conditions visible on the ground such as equipment oil leakage, cable aging, and bracket corrosion.

[0026] Inspection tasks refer to the inspection plans of photovoltaic power plants, including pre-set routine inspection plans and the latest inspection plans that are dynamically adjusted according to real-time conditions and needs. The first inspection instructions include instructions for instructing surveillance cameras to adjust monitoring angles and focal lengths, collect data from specific equipment and areas, and start specific image analysis functions. The second inspection instructions include instructions for instructing drones to start and return, adjust flight paths and altitudes, start autonomous navigation, switch different sensor modes, and collect data from specific equipment and areas. The third inspection instructions include instructions for instructing ground robots to change inspection routes, perform specific detection actions, start autonomous navigation, and collect data from specific equipment and areas.

[0027] For example, suppose a fire hazard occurs in a large photovoltaic power station.

[0028] First, the surveillance camera installed in the photovoltaic power station will collect video images in real time. According to the video images, signs of fire are detected, such as images of a large amount of thick smoke, and the first abnormal information. The first abnormal information is transmitted to the central controller (the executor of the control method for the above-mentioned photovoltaic power station inspection). At the same time, the cruising drone captures infrared thermal imaging data through an infrared thermal imaging sensor. High-temperature hot spot data is detected based on the infrared thermal imaging data, that is, the second abnormal information. The second abnormal information is transmitted to the central controller. The inspection ground robot on the ground captures the video image through its mobile and flexible camera during the inspection. The video image of a suspicious person approaching the electrical equipment of the power station is detected from the video image, that is, the third abnormal information. The third abnormal information is transmitted to the central controller.

[0029] After receiving abnormal information from three different inspection devices, the central controller determines that there may be a fire hazard. It immediately formulates targeted first inspection instructions, second inspection instructions, and third inspection instructions based on the inspection tasks. These three instructions are sent to the corresponding inspection devices respectively: control the surveillance camera to zoom in and observe the fire area; control the drone to quickly fly to the high temperature area for further confirmation and photography evidence; control the ground robot to quickly go to the location where the suspicious person appears for identity recognition.

[0030] The above three inspection devices collect data at the same time, identify abnormal information and transmit it to the central controller. The central controller summarizes the abnormal information of the three devices and generates targeted inspection instructions for each inspection device in combination with the current inspection task. Each inspection device executes the inspection instruction received and feeds back the abnormal information in the data collected again to the central controller for the central controller to adjust the next inspection task.

[0031] By combining three different types of inspection equipment, the above method can achieve all-round and multi-angle monitoring of photovoltaic power stations, and improve the coverage and accuracy of abnormal detection of photovoltaic power stations. The central controller can make more comprehensive and accurate decisions by combining multi-source abnormal information and inspection tasks. By issuing targeted inspection instructions to different devices, the optimal configuration and collaborative work of inspection resources can be achieved. Therefore, the above method can significantly improve the inspection efficiency and comprehensiveness of photovoltaic power stations.

[0032] In one embodiment, the control method for the inspection of a photovoltaic power station may include: obtaining an inspection task, wherein the inspection task may include an object to be inspected and an inspection accuracy, inspection priority, and inspection frequency corresponding to the object to be inspected; step 120 may include: determining the abnormal object based on the first abnormal information, the second abnormal information, and the third abnormal information; improving the inspection accuracy, inspection priority, and inspection frequency corresponding to the abnormal object in the inspection task to obtain a target inspection task; and determining the first inspection instruction, the second inspection instruction, and the third inspection instruction based on the target inspection task.

[0033] Here, the objects to be inspected in the inspection task refer to the areas or equipment in the photovoltaic power station that need to be focused on and inspected, such as substations, cable trenches, photovoltaic arrays, etc. Inspection accuracy refers to the inspection density and detail level of the objects to be inspected during the inspection. High inspection accuracy requires more careful and in-depth inspections, such as collecting more data samples and using higher-resolution sensors. Inspection priority represents the degree of attention paid to the objects to be inspected. Objects to be inspected with high inspection priorities will be inspected first. Inspection frequency refers to the inspection cycle of the objects to be inspected, such as conducting inspections every few hours.

[0034] Abnormal objects refer to specific areas or equipment involved in abnormal situations detected by monitoring cameras, drones and ground robots during the inspection of photovoltaic power plants. The method for determining abnormal objects based on the first abnormal information, the second abnormal information and the third abnormal information can adopt an association analysis method or a position association method.

[0035] Correlation analysis method: Correlation analysis is performed on abnormal information from different inspection devices to find out the common areas or equipment pointed to by these abnormal information. For example, the surveillance camera detects thick smoke in a certain area (first abnormal information), the infrared thermal imaging sensor of the drone also finds that the temperature in the area is abnormally high (second abnormal information), and the ground robot further finds that there are suspicious people in the area (third abnormal information). Through correlation analysis, it can be determined that the area is the abnormal object with fire hazards.

[0036] Position association method: Combine the location information collected by each inspection device to determine the specific geographical location corresponding to the abnormal information. For example, the surveillance camera detects that a photovoltaic component has failed (the first abnormal information), the drone's aerial image data shows the photovoltaic array area where the component is located (the second abnormal information), and the ground robot's positioning information is accurate to the specific location of the component (the third abnormal information). Through position association, it can be determined that the photovoltaic component is the abnormal object.

[0037] The target inspection task refers to a new inspection task obtained by improving the inspection accuracy, inspection priority and inspection frequency of the abnormal object corresponding to the abnormal information according to the detected abnormal information after the inspection task is obtained.

[0038] The target inspection tasks can be divided into independent tasks or collaborative tasks, and the inspection instructions corresponding to the assigned tasks can be sent to the three inspection devices mentioned above. Divide the target inspection tasks into independent tasks: assign tasks to different inspection devices according to the inspection requirements for different objects in the target inspection tasks. Divide the target inspection tasks into collaborative tasks: formulate a coordination and cooperation plan between the inspection devices according to the requirements of the target inspection tasks. For example, the first inspection instruction requires the surveillance camera to continuously monitor the abnormal object; the second inspection instruction requires the drone to cooperate with the surveillance camera to arrive at the location of the abnormal object first for infrared thermal imaging detection; the third inspection instruction requires the ground robot to quickly go to the location corresponding to the abnormal object for on-site monitoring based on the monitoring and drone information.

[0039] The above method can realize all-round and coordinated efficient inspection of photovoltaic power stations, thereby ensuring the safe and stable operation of the power stations.

[0040] In one embodiment, step 110 may include: obtaining first abnormal information transmitted by a first controller, the first controller obtaining the first monitoring data from the surveillance camera, and determining the first abnormal information based on the first monitoring data; step 130 may include: controlling the drone to execute the second inspection instruction through the first controller.

[0041] It should be understood that in order to avoid overloading the central controller, a first controller may be set to centrally manage and process the monitoring cameras of the entire photovoltaic power station. The monitoring camera transmits the collected first monitoring data to the first controller, which analyzes and processes the data to determine whether there is first abnormal information. The first controller transmits the first abnormal information to the central controller.

[0042] The central controller can directly issue a first inspection instruction for the monitoring camera to the first controller. The first controller is responsible for splitting the overall instruction into specific sub-instructions and controlling each monitoring camera to execute them respectively.

[0043] The above method can effectively reduce the data processing load of the central controller and improve the inspection efficiency.

[0044] In one embodiment, step 110 may include: obtaining second abnormal information transmitted by a second controller, the second controller obtaining second monitoring data from the drone, and determining the second abnormal information based on the second monitoring data; step 130 may include: controlling the drone to execute the second inspection instruction through the second controller.

[0045] It should be understood that in order to avoid overloading the central controller, a second controller can be set to centrally manage and process the drones of the entire photovoltaic power station. The drone transmits the collected second monitoring data to the second controller, which analyzes and processes the data to determine whether there is second abnormal information. The second controller transmits the second abnormal information to the central controller.

[0046] The central controller can directly issue a second inspection command for the drone to the second controller. The second controller is responsible for splitting the overall command into specific sub-commands and controlling each drone to execute them respectively.

[0047] The above method can effectively reduce the data processing load of the central controller and improve the inspection efficiency.

[0048] In one embodiment, step 110 may include: acquiring the third abnormality information transmitted by the ground robot, wherein the ground robot is configured to determine the third abnormality information according to the collected third monitoring data.

[0049] It should be understood that the ground robot can be equipped with a dedicated data processor due to its large size. After acquiring the third monitoring data, the ground robot can directly analyze and process the third monitoring data on its own data processor, thereby autonomously determining whether there is third abnormal information. The ground robot sends the third abnormal information to the central controller, and the central controller directly controls the ground robot to execute the third inspection instruction.

[0050] In one embodiment, step 110 may include: obtaining third abnormal information transmitted by a third controller, wherein the third controller obtains third monitoring data from the ground robot, and determines the third abnormal information based on the third monitoring data; step 130 may include: controlling the drone to execute the third inspection instruction through the third controller.

[0051] It should be understood that in order to avoid overloading the central controller, a third controller can be set to centrally manage and process the ground robot of the entire photovoltaic power station. The ground robot transmits the collected third monitoring data to the third controller, which analyzes and processes the data to determine whether there is third abnormal information. The third controller also transmits the third abnormal information to the central controller.

[0052] The central controller can directly issue the third inspection instruction for the ground robot to the third controller. The third controller is responsible for splitting the three overall instructions into specific sub-instructions and controlling each ground robot to execute them respectively.

[0053] The above method can effectively reduce the data processing load of the central controller and improve the inspection efficiency.

[0054] In one embodiment, the control method for inspection of a photovoltaic power station may further include: generating an alarm after acquiring the first abnormal information, the second abnormal information, and the third abnormal information.

[0055] Here, after receiving the above abnormal information, the central controller can issue an audible and visual alarm, display the alarm information, and send the alarm information to the terminal device to notify relevant personnel.

[0056] Figure 2 is a block diagram of a control system 200 for inspection of a photovoltaic power station according to an exemplary embodiment. Figure 2 As shown, the control system 200 includes: a monitoring camera 210, a drone 220, a ground robot 230 and a central controller 240. The central controller 240 is communicatively connected with the monitoring camera 210, the drone 220 and the ground robot 230. The central controller 240 is used to execute the steps of any control method for photovoltaic power station inspection provided in this application.

[0057] Optionally, the control system 200 also includes: a first controller, a second controller and a third controller, the central controller 240 is connected to and controls the monitoring camera 210 through the first controller, the central controller 240 is connected to and controls the drone 220 through the second controller, and the central controller 240 is connected to and controls the ground robot 230 through the third controller.

[0058] Optionally, the first controller, the second controller and the third controller generate an alarm after respectively determining the first abnormal information, the second abnormal information and the third abnormal information.

[0059] The preferred embodiments of the present application are described in detail above in conjunction with the accompanying drawings; however, the present application is not limited to the specific details in the above embodiments. Within the technical concept of the present application, a variety of simple modifications can be made to the technical solution of the present application, and these simple modifications all fall within the protection scope of the present application.

[0060] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this application will not further describe various possible combinations.

[0061] In addition, the various implementation modes of the present application may be arbitrarily combined, and as long as they do not violate the concept of the present application, they should also be regarded as the contents disclosed in the present application.

Claims

1. A control method for inspection of a photovoltaic power station, characterized in that: include: Obtain first abnormal information corresponding to first monitoring data collected by the surveillance camera, obtain second abnormal information corresponding to second monitoring data collected by the drone, and obtain third abnormal information corresponding to third monitoring data collected by the ground robot; Determine a first inspection instruction, a second inspection instruction, and a third inspection instruction according to the inspection task, the first abnormal information, the second abnormal information, and the third abnormal information; The monitoring camera is controlled to execute the first inspection instruction, the drone is controlled to execute the second inspection instruction, and the ground robot is controlled to execute the third inspection instruction.

2. The method according to claim 1, characterized in that The method comprises: Obtaining an inspection task, wherein the inspection task includes an object to be inspected and an inspection accuracy, an inspection priority, and an inspection frequency corresponding to the object to be inspected; The determining, according to the inspection task, the first abnormal information, the second abnormal information, and the third abnormal information, a first inspection instruction, a second inspection instruction, and a third inspection instruction comprises: determining an abnormal object according to the first abnormal information, the second abnormal information, and the third abnormal information; Improve the inspection accuracy, inspection priority and inspection frequency corresponding to the abnormal objects in the inspection task to obtain the target inspection task; The first inspection instruction, the second inspection instruction and the third inspection instruction are determined according to the target inspection task.

3. The method according to claim 1, characterized in that The obtaining of first abnormal information corresponding to first monitoring data collected by the surveillance camera includes: Acquire first abnormal information transmitted by a first controller, wherein the first controller acquires the first monitoring data from the monitoring camera and determines the first abnormal information according to the first monitoring data; The controlling the monitoring camera to execute the first inspection instruction includes: The first controller controls the drone to execute the second inspection instruction.

4. The method according to claim 1, characterized in that: The obtaining of second abnormal information corresponding to the second monitoring data collected by the drone includes: Acquire second abnormal information transmitted by a second controller, the second controller acquires second monitoring data from the UAV, and determines the second abnormal information according to the second monitoring data; The controlling the drone to execute the second inspection instruction includes: The second controller controls the drone to execute the second inspection instruction.

5. The method according to claim 1, characterized in that The obtaining of the third monitoring data collected by the ground robot and the third abnormal information corresponding to the third monitoring data includes: The third abnormality information transmitted by the ground robot is obtained, and the ground robot is used to determine the third abnormality information according to the collected third monitoring data.

6. The method according to claim 1, characterized in that The obtaining of third abnormal information corresponding to the third monitoring data collected by the ground robot includes: Acquire third abnormal information transmitted by a third controller, wherein the third controller acquires third monitoring data from the ground robot and determines the third abnormal information according to the third monitoring data; The controlling the ground robot to execute the third inspection instruction comprises: The third controller controls the drone to execute the third inspection instruction.

7. The method according to claim 1, characterized in that The method further comprises: After obtaining the first abnormal information, the second abnormal information and the third abnormal information, an alarm is issued.

8. A control system for inspection of a photovoltaic power station, characterized in that: include: A monitoring camera, an unmanned aerial vehicle, a ground robot and a central controller, wherein the central controller is communicatively connected with the monitoring camera, the unmanned aerial vehicle and the ground robot, and the central controller is used to execute the method described in any one of claims 1 to 7.

9. The control system according to claim 8, characterized in that: Also includes: A first controller, a second controller and a third controller, wherein the central controller is connected to and controls the monitoring camera via the first controller, the central controller is connected to and controls the drone via the second controller, and the central controller is connected to and controls the ground robot via the third controller.

10. The control system according to claim 9, characterized in that: The first controller, the second controller and the third controller issue an alarm after respectively determining the first abnormal information, the second abnormal information and the third abnormal information.

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