Illumination method and device for inspection object of unmanned aerial vehicle, electronic equipment and storage medium
By obtaining the flight information and lighting strategies of the drone, dynamically adjusting the lighting strategies to adapt to ambient light and distance information, the problem of insufficient lighting conditions during the drone's indoor patrol in the substation is solved, and the patrol efficiency and effect are improved.
Patent Information
- Application Number
- CN202411773215.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-03-14
AI Technical Summary
When the drone is inspecting indoors in the substation, the lighting conditions cannot meet the lighting needs of the drone due to light, visibility and other reasons, which affects the inspection efficiency and effect.
By obtaining the flight information and lighting strategies of the target drone, controlling the drone to the preset position, and performing lighting operations on multiple patrol objects according to the lighting strategy, dynamically adjusting the lighting strategy to adapt to information such as ambient light intensity, distance between the drone and the patrol object.
It realizes adaptive lighting for drones during indoor inspection of substations, improves inspection efficiency and effect, and ensures that the lighting conditions meet the needs of drones.
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Figure CN119620770A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of automation technology, and in particular to a lighting method, device, electronic equipment and storage medium for an unmanned aerial vehicle inspection object. Background Art
[0002] With the deepening of smart grid construction, substations are increasingly inclined to use drone inspections instead of manual inspections to improve inspection efficiency, reduce maintenance costs, and improve inspection quality. The indoor environment of substations is complex. When drones conduct indoor inspections, due to reasons such as lighting and visibility, it is difficult to ensure the visibility of indoor equipment, which brings difficulties to the completion of inspection tasks.
[0003] Indoor lighting optimization is one of the ways to solve the difficulties of drone inspection in substations. According to the lighting strategy and equipment characteristics of the substation, the power change of LED lights is controlled and the indoor ambient light intensity is adjusted to achieve the lighting effect of drones inspecting the substation. However, the indoor environment of the substation is complex. Due to site limitations, the control effect of LED lights in complex lighting environments is difficult to predict, and the existing lighting optimization solutions are difficult to adapt to the needs of substation automation lighting.
[0004] At present, in the indoor inspection scheme of drones, drones only use inertial navigation systems to measure the position of equipment, without considering visual positioning, resulting in low positioning accuracy and small coverage. During the indoor inspection of substations, drones rely on the relative distance and location information between the drone and the substation to determine the lighting strategy. However, in the existing scheme, there is a lack of distance measurement means between the drone and the substation, that is, there is a lack of distance information between the drone and the inspection object, which affects the formulation of the lighting strategy.
[0005] In the existing solution, the lighting strategy of the drone is to control the LED lights according to the preset lighting time and lighting intensity. The drone will continuously inspect after turning on the lighting. There is no mechanism for dynamically adjusting the lighting strategy. It is impossible to adjust the lighting strategy according to information such as the ambient light intensity, the distance between the drone and the inspection object, and the drone inspection task. Therefore, it is impossible to achieve adaptive adjustment of the lighting strategy. The lighting strategy of the drone is fixed, which has the problems of low inspection efficiency and unsatisfactory lighting effect.
[0006] There is currently no corresponding solution to the above problems. Summary of the invention
[0007] The embodiments of the present invention provide a method, device, electronic device and storage medium for lighting an object inspected by a drone, so as to at least solve the technical problem in the prior art that the existing lighting conditions cannot meet the lighting requirements of the drone due to the complex drone inspection environment.
[0008] According to one embodiment of the present invention, a method for lighting an inspection object of a drone is provided, comprising: obtaining flight information and a lighting strategy of a target drone; controlling the target drone to perform a flight operation to a preset position according to the flight information; and in response to the target drone flying to the preset position, performing a lighting operation on multiple inspection objects of the target drone according to the lighting strategy.
[0009] Optionally, the method for lighting an inspection object of a drone further includes: obtaining work ticket information of the target drone; and determining multiple inspection objects of the target drone according to the work ticket information.
[0010] Optionally, the lighting method for the drone inspection object also includes: the flight information of the target drone includes at least one of the following: inspection environment information, drone route information and obstacle information.
[0011] Optionally, the lighting method for the drone inspection object also includes: acquiring multiple object features of the multiple inspection objects; determining the lighting requirements of the multiple inspection objects based on the multiple object features; and generating a lighting strategy for the target drone based on the lighting requirements.
[0012] Optionally, the lighting method for unmanned aerial vehicle inspection objects also includes: determining lighting requirement information of multiple inspection objects based on multiple object characteristics, wherein the lighting requirement information includes distance information and ambient light information; and determining the lighting requirements of multiple inspection objects based on the lighting requirement information.
[0013] Optionally, the lighting method for the drone inspection object also includes: the multiple object features include at least one of the following: light-emitting semiconductor meter information, mechanical meter information and switch position information.
[0014] Optionally, the lighting method for the drone inspection object also includes: acquiring lighting data and environmental data of multiple inspection objects; and performing an update operation on the lighting strategy according to the lighting data and environmental data.
[0015] According to one embodiment of the present invention, there is also provided a lighting device for an inspection object of a drone, comprising: a first acquisition module, used to acquire flight information and a lighting strategy of a target drone; a control module, used to control the target drone to perform a flight operation to a preset position according to the flight information; and a first execution module, used to perform a lighting operation on multiple inspection objects of the target drone according to the lighting strategy in response to the target drone flying to the preset position.
[0016] Optionally, the lighting device for the drone inspection object also includes: a second acquisition module, used to obtain work ticket information of the target drone; and a determination module, used to determine multiple inspection objects of the target drone based on the work ticket information.
[0017] Optionally, the lighting device of the drone inspection object also includes: the flight information of the target drone includes at least one of the following: inspection environment information, drone route information and obstacle information.
[0018] Optionally, the first acquisition module includes: an acquisition unit, used to acquire multiple object features of multiple inspection objects; a determination unit, used to determine the lighting requirements of the multiple inspection objects based on the multiple object features; and a generation unit, used to generate a lighting strategy for the target drone based on the lighting requirements.
[0019] Optionally, the determination unit includes: a first determination subunit, used to determine lighting requirement information of multiple inspection objects based on multiple object features, wherein the lighting requirement information includes distance information and ambient light information; and a second determination subunit, used to determine the lighting requirements of multiple inspection objects based on the lighting requirement information.
[0020] Optionally, the first acquisition module further includes: the plurality of object features include at least one of the following: light-emitting semiconductor meter information, mechanical meter information and switch position information.
[0021] Optionally, the lighting device for the drone inspection object also includes: a third acquisition module, used to obtain lighting data and environmental data of multiple inspection objects; and a second execution module, used to perform an update operation on the lighting strategy according to the lighting data and environmental data.
[0022] According to one embodiment of the present invention, there is also provided an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute any of the above-mentioned methods for lighting an object inspected by a drone.
[0023] According to one embodiment of the present invention, a computer-readable storage medium is further provided, in which a computer program is stored, wherein the computer program is configured to execute any of the above-mentioned methods for lighting an object inspected by a drone when running.
[0024] In an embodiment of the present invention, the flight information and lighting strategy of the target UAV are obtained, so as to achieve the purpose of controlling the target UAV to perform flight operations to a preset position according to the flight information, and achieve the technical effect of performing lighting operations on multiple inspection objects of the target UAV according to the lighting strategy in response to the target UAV flying to the preset position. This can solve the technical problem in the prior art that the existing lighting conditions cannot meet the lighting needs of the UAV due to the complex UAV inspection environment. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:
[0026] Figure 1 is a flow chart of a method for lighting an object inspected by a drone according to one embodiment of the present invention;
[0027] Figure 2 is a schematic diagram of a method for lighting an object inspected by a drone according to one embodiment of the present invention;
[0028] Figure 3 4 is a structural block diagram of a lighting device for an unmanned aerial vehicle inspection object according to one embodiment of the present invention. DETAILED DESCRIPTION
[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, 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 should fall within the scope of protection of the present invention.
[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0031] According to an embodiment of the present invention, an embodiment of a method for lighting an object inspected by a drone is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system comprising at least one set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0032] The method embodiment may also be performed in an electronic device, a similar control device or an electronic device including a memory and a processor. Taking an electronic device as an example, the electronic device may include one or more processors and a memory for storing data. Optionally, the electronic device may also include a communication device and a display device for communication functions. It will be understood by those skilled in the art that the above structural description is only illustrative and does not limit the structure of the above electronic device. For example, the electronic device may also include more or fewer components than the above structural description, or have a configuration different from the above structural description.
[0033] The processor may include one or more processing units. For example, the processor may include a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microcontroller unit (MCU), a field-programmable gate array (FPGA), a neural-network processing unit (NPU), a tensor processing unit (TPU), an artificial intelligence (AI) type processor, and other processing devices. Among them, different processing units may be independent components or integrated into one or more processors. In some instances, the electronic device may also include one or more processors.
[0034] The memory can be used to store computer programs, for example, to store the computer program corresponding to the lighting method for the drone inspection object in the embodiment of the present invention. The processor implements the lighting method for the drone inspection object by running the computer program stored in the memory. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the electronic device via a grid. Examples of the above-mentioned grid include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0035] The communication device is used to receive or send data via a grid. The specific examples of the above-mentioned grid may include a wireless grid provided by a communication provider of the mobile terminal. In one example, the communication device includes a grid adapter (network interface controller, NIC), which can be connected to other grid devices through a base station so as to communicate with the Internet. In one example, the communication device can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly. In some embodiments of the present solution, the communication device is used to connect to mobile devices such as mobile phones and tablets, and instructions can be sent to the vehicle-mounted terminal through the mobile device.
[0036] The display device may be a touch screen type liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display may enable a user to interact with a user interface of the vehicle-mounted terminal. In some embodiments, the vehicle-mounted terminal has a graphical user interface (GUI), and a user may interact with the GUI by finger contact and / or gestures on a touch-sensitive surface. The human-computer interaction function here may include a vehicle gear shifting function, and executable instructions for executing the human-computer interaction function are configured / stored in a computer program product or a readable storage medium executable by one or more processors.
[0037] Figure 1 FIG. 1 is a flow chart of a method for lighting an object inspected by a drone according to one embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:
[0038] Step S102, obtaining the flight information and lighting strategy of the target UAV.
[0039] Optionally, the execution subject of this embodiment is the lighting system of the inspection object. It should be noted that other electronic devices and processors can also serve as the execution subject, and no further limitations are made here.
[0040] Specifically, Figure 2 As shown, the drone system in the present invention mainly includes a camera, an LED light, a laser radar, a millimeter-wave radar, and an ambient light collection sensor. Among them, the camera is used to collect inspection images, the LED light is used for supplementary lighting, the laser radar and millimeter-wave radar data are used for distance measurement, and the ambient light collection sensor is used to sense the external light conditions.
[0041] Specifically, Figure 2As shown, the inspection object lighting system includes a drone inspection adaptive lighting edge computing server, and the drone inspection adaptive lighting edge computing server includes a work ticket / operation ticket processing module, a distance measurement module, a light detection module and a lighting control module. Among them, the work ticket / operation ticket processing module is mainly used to extract the inspection steps in the work ticket / operation ticket, the distance measurement module is used to measure the distance between the drone and the object to be inspected, the light detection module is used to measure the lighting light of the environment, and the lighting control module is used to control the adjustment of the lighting light.
[0042] Specifically, the work ticket / operation ticket processing module is independent of the lighting control module and receives the drone inspection step information through a dedicated interface. This design makes the system more modular, easy to maintain and upgrade, and suitable for a variety of inspection tasks, including routine inspections, troubleshooting, and rapid response in emergency situations, improving the flexibility and adaptability of the system.
[0043] Specifically, the light detection module includes a light intensity sensor, which focuses on measuring the light intensity of the current environment and excludes the ambient temperature sensor. This configuration simplifies the system structure and reduces costs, while ensuring the accuracy of light detection. It is suitable for indoor environments with frequent light changes, such as light changes caused by switching operations of equipment inside a substation.
[0044] Optionally, the light intensity sensor is equipped with a dynamic range adjustment function to adapt to the measurement requirements under different lighting conditions. The dynamic range adjustment function enables the sensor to accurately measure light intensity under extreme light conditions (such as extremely dark or extremely bright environments), which is suitable for sudden changes in light when equipment inside the substation is started or shut down, ensuring effective inspection under any light conditions.
[0045] Optionally, the drone can also be equipped with a high-precision positioning system for precise positioning in indoor environments. The high-precision positioning system can ensure the precise flight of the drone in complex indoor environments, especially in areas with dense equipment and narrow space, to avoid collisions and improve the safety and efficiency of inspections. It is suitable for inspection tasks that require high-precision positioning, such as cable trenches and equipment intervals inside substations.
[0046] In the technical solution provided in the above step S102 of the present invention, in order to determine the lighting conditions required for the UAV during flight, the inspection object lighting system must first obtain the route information of the target UAV during flight, and further determine the light information required for the UAV during flight based on the route information of the UAV, and further formulate a corresponding lighting strategy.
[0047] Specifically, after the drone inspection work ticket / operation ticket is issued, the drone inspection adaptive lighting edge computing server in the inspection object lighting system can extract the target object and route information of the drone flight inspection based on the work ticket / operation ticket.
[0048] Specifically, after the drone operation ticket is issued, the above-mentioned route information includes the flight route, flight time and flight phase of the target drone, and the target object is the inspection object inspected by the target drone during this flight.
[0049] Specifically, the lighting strategy for determining the target UAV may be further determined based on the characteristics of multiple inspection objects of the UAV.
[0050] Step S104, controlling the target UAV to perform a flight operation to a preset position according to the flight information.
[0051] In the technical solution provided in the above step S104 of the present invention, after the target UAV takes off, the UAV inspection adaptive lighting edge computing server controls the target UAV to fly to a preset position according to the flight information of the target UAV.
[0052] Optionally, the above-mentioned preset position is a preset position of an object that the target drone needs to inspect.
[0053] Optionally, if the target UAV has multiple inspection objects, the inspection order of the multiple inspection objects can be extracted and determined from the work ticket / operation ticket information.
[0054] Step S106 , in response to the target UAV flying to the preset position, performing lighting operations on multiple inspection objects of the target UAV according to the lighting strategy.
[0055] In the technical solution provided in the above step S106 of the present invention, when the above target UAV flies to the preset position of the inspection object, multiple inspection objects of the target UAV can be illuminated according to the above determined lighting strategy for the inspection object.
[0056] Specifically, when the target UAV reaches the preset position, the LED lights can be controlled according to the lighting strategy corresponding to the inspection object to illuminate the inspection object.
[0057] Optionally, lighting requirements for drone inspections may include the following:
[0058] 1) The lighting must be bright enough to ensure that the position and flight direction of the drone can be clearly seen at night or in bad weather conditions.
[0059] 2) The color of the lighting should comply with regulations, generally white, red or green, so that other aircraft can identify the location and status of the drone.
[0060] 3) The installation position of the lighting should be reasonable to avoid affecting the flight performance of the UAV and ensure that the lighting range can cover the entire UAV body.
[0061] 4) Lighting lamps should be waterproof, shockproof and high temperature resistant to ensure that they can work normally under various environmental conditions.
[0062] 5) The power supply of the lighting should be stable and reliable to avoid the lighting failing to work properly due to insufficient power or other reasons.
[0063] Optional, the lighting requirements for drone inspections are mainly to ensure that the drone can safely and stably perform flight and inspection tasks under various environmental conditions. At the same time, reasonable lighting design can also improve the visibility of the drone and reduce the risk of flight accidents.
[0064] Optionally, in the drone inspection process control, the drone can automatically inspect the next object until the task is completed without human intervention. This automated inspection process significantly improves inspection efficiency and reduces manual operation errors and costs. It is suitable for substations that require frequent inspections, such as large power hubs, to ensure the continuity and accuracy of inspections.
[0065] Optionally, the takeoff and landing control logic of the drone is independent of the adaptive lighting system, ensuring that the drone can take off and land safely even when the lighting system is not working. This independent control logic design improves the reliability of the system, and the drone can safely perform takeoff and landing operations even in the event of a lighting system failure, which is suitable for rapid response in emergency situations, such as substation troubleshooting.
[0066] From the above steps S102 to S106, it can be known that in the present invention, the flight information and lighting strategy of the target UAV are obtained, so as to achieve the purpose of controlling the target UAV to perform flight operations to a preset position according to the flight information, and achieve the technical effect of performing lighting operations on multiple inspection objects of the target UAV according to the lighting strategy in response to the target UAV flying to the preset position, thereby solving the technical problem in the prior art that the existing lighting conditions cannot meet the lighting requirements of the UAV due to the complex UAV inspection environment.
[0067] Furthermore, the adaptive lighting system and method of the present application can not only improve the efficiency and accuracy of drone inspections, but also significantly reduce operation and maintenance costs, reduce the frequency and risks of manual inspections, and provide a new solution for the intelligent operation and maintenance of substations. Especially at night, in dark corners, or in environments with drastic changes in light, the adaptive lighting system can ensure that drones obtain high-quality inspection images, detect equipment failures and safety hazards in a timely manner, and provide a strong guarantee for the safe and stable operation of the power system. In addition, the modular design and high-precision positioning technology of the system enable the system to flexibly adapt to different inspection requirements and environmental conditions, providing more comprehensive and reliable technical support for the intelligent operation and maintenance of substations.
[0068] As an optional implementation, the method further includes: obtaining work ticket information of the target UAV; and determining multiple inspection objects of the target UAV according to the work ticket information.
[0069] In this embodiment, the above method also includes the following steps: the drone inspection adaptive lighting edge computing server obtains the work ticket information of the target drone, and then extracts multiple inspection object information of the target drone from the above work ticket information.
[0070] Specifically, after receiving the inspection step information from the drone, the work ticket / operation ticket processing module immediately begins to parse and store it as an executable inspection step sequence. This instant processing and storage mechanism ensures a rapid response to inspection tasks and is suitable for inspection tasks that need to be performed urgently, such as the rapid location and inspection of equipment failures, which improves the efficiency and response speed of substation operation and maintenance.
[0071] Optional, a work ticket is a document used to record and direct a specific work task. It is usually filled out by a technician to ensure that the work task is carried out as planned and in compliance with safety regulations and procedures.
[0072] Optionally, the work ticket may include a description of the task, the work location, the personnel, the working hours, safety measures and other relevant information. The purpose of the work ticket is to ensure the orderly progress of the work tasks, reduce the risk of accidents and improve work efficiency.
[0073] Specifically, the work ticket information of the target UAV may include the flight phase, flight time, and target object to be inspected during the flight of the target UAV.
[0074] As an optional implementation, the flight information of the target UAV includes at least one of the following: inspection environment information, UAV route information and obstacle information.
[0075] In this embodiment, the flight information of the target UAV may include inspection environment information, UAV route information, and obstacle information.
[0076] Optionally, the environment in which the drone flies includes factors such as air quality, temperature, humidity, and air pressure. Under different environmental conditions, the flight performance and stability of the drone will be affected. For example, high temperatures will affect the battery performance and flight time of the drone, strong winds will affect flight stability, and thin air at high altitudes will affect the lift of the drone. Therefore, before flying, it is necessary to fully evaluate and prepare for environmental conditions to ensure the safe flight of the drone.
[0077] Optionally, the environmental information may include a variety of environmental conditions, such as a dark environment, a powder fog environment, or a bright environment.
[0078] Optionally, when the target drone is in a dark environment, the lighting strategy for the inspection object requires a brighter light intensity.
[0079] As an optional implementation, obtaining the lighting strategy of the target UAV includes: obtaining multiple object features of multiple inspection objects; determining the lighting requirements of the multiple inspection objects based on the multiple object features; and generating the lighting strategy of the target UAV based on the lighting requirements.
[0080] In this embodiment, the UAV inspection adaptive lighting edge computing server obtains the lighting strategy of the target UAV including the following steps: the UAV inspection adaptive lighting edge computing server can obtain multiple object features of multiple inspection objects, and further determine the lighting requirements required for the multiple inspection objects based on the above multiple object features, and generate the lighting strategy of the target UAV in this flight phase in combination with the lighting requirements of the multiple inspection objects.
[0081] Optionally, the lighting requirements for drone inspections depend on the following factors:
[0082] 1) Inspection environment: If the inspection environment is in a dim or dark place, the drone needs to have sufficient lighting to ensure that the inspection target can be clearly seen.
[0083] 2) Inspection Targets: Some inspection targets may require stronger lighting to ensure that details can be accurately inspected or images captured.
[0084] 3) Inspection time: If the inspection needs to be carried out at night, the drone needs to have night vision capabilities or be equipped with appropriate lighting equipment.
[0085] 4) Safety requirements: In some cases, lighting can also be used to improve the visibility of drones and reduce the risk of collision with other aircraft or obstacles.
[0086] Optionally, the lighting requirement for drone inspections is mainly to ensure that the inspection target can be clearly seen in various environments, thereby improving the safety and efficiency of the drone.
[0087] As an optional implementation, determining the lighting requirements of multiple inspection objects based on multiple object characteristics includes: determining lighting requirement information of multiple inspection objects based on multiple object characteristics, wherein the lighting requirement information includes distance information and ambient light information; and determining the lighting requirements of multiple inspection objects based on the lighting requirement information.
[0088] In this embodiment, determining the lighting requirements of multiple inspection objects based on multiple object features includes the following steps: the drone inspection adaptive lighting edge computing server can further determine the distance information and ambient light information (i.e., lighting requirement information) of the multiple inspection objects based on the multiple object features of the multiple inspection objects, and then determine the lighting requirements of the multiple inspection objects based on the lighting requirement information of the above-mentioned inspection objects.
[0089] Optionally, the lighting requirement information includes distance information and ambient light information. In addition, the lighting requirement information may also include ambient temperature information or time information, which is not specifically limited here.
[0090] As an optional implementation manner, the plurality of object features include at least one of the following: light emitting semiconductor meter information, mechanical meter information, and switch position information.
[0091] In this embodiment, the plurality of object features may include light emitting semiconductor meter information, mechanical meter information, and switch position information.
[0092] Optionally, a mechanical meter is a device used to measure and record electrical energy usage, usually installed on household, commercial or industrial electrical equipment. It calculates the amount of electrical energy used by measuring current and voltage and displays the result on the dial. Mechanical meters are generally highly accurate and stable and are not affected by external factors, so they are widely used in the power industry. When using mechanical meters, they need to be checked and calibrated regularly to ensure their accuracy and reliability.
[0093] As an optional implementation, the method further includes: acquiring lighting data and environmental data of multiple inspection objects; and performing an update operation on the lighting strategy according to the lighting data and environmental data.
[0094] In this embodiment, the above method also includes the following steps: when the target drone inspects multiple inspection objects, the lighting data and environmental data of the multiple inspection objects can be obtained, and after the inspection is completed, the lighting strategy is updated according to the lighting data and environmental data collected during this inspection.
[0095] Specifically, when the target UAV inspects multiple inspection objects, the lighting data and environmental data of the multiple inspection objects can be collected, and then after the inspection, the lighting data and environmental data collected for this inspection are analyzed, and a corresponding analysis report is obtained to determine whether the current lighting strategy can meet the inspection requirements of the target UAV.
[0096] Optionally, if the current lighting strategy cannot meet the inspection requirements of the target UAV, the existing lighting strategy can be further adjusted according to the collected lighting data and environmental data of multiple inspection objects to obtain a new lighting strategy.
[0097] Optionally, if the current lighting strategy can meet the inspection requirements of the target UAV, there is no need to adjust the existing lighting strategy, that is, the target UAV still adopts the lighting strategy of this flight in the next flight.
[0098] Optionally, the drone can use dynamic analysis technology to update the inspection step sequence in real time. Dynamic analysis technology enables the system to adjust the inspection steps according to real-time environmental changes and inspection requirements, improving the flexibility and efficiency of inspections. It is suitable for real-time changes in the status of equipment inside the substation, such as emergency shutdown or restart of equipment, ensuring the timeliness and accuracy of inspection tasks.
[0099] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a grid device, etc.) to execute the methods of various embodiments of the present invention.
[0100] In this embodiment, a lighting device for an unmanned aerial vehicle inspection object is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and will not be repeated hereafter. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.
[0101] Figure 3 FIG. 3 is a structural block diagram of a lighting device 300 for an unmanned aerial vehicle inspection object according to one embodiment of the present invention. Figure 3As shown, the device includes: a first acquisition module 301, a control module 302 and a first execution module 303.
[0102] The first acquisition module 301 is used to acquire the flight information and lighting strategy of the target UAV;
[0103] The control module 302 is used to control the target UAV to perform a flight operation to a preset position according to the flight information;
[0104] The first execution module 303 is used to perform lighting operations on multiple inspection objects of the target drone according to the lighting strategy in response to the target drone flying to a preset position.
[0105] Optionally, the lighting device 300 for the drone inspection object further includes: a second acquisition module, used to acquire the work ticket information of the target drone; and a determination module, used to determine multiple inspection objects of the target drone according to the work ticket information.
[0106] Optionally, the lighting device 300 for the drone inspection object further includes: the flight information of the target drone includes at least one of the following: inspection environment information, drone route information and obstacle information.
[0107] Optionally, the first acquisition module 301 includes: an acquisition unit, used to acquire multiple object features of multiple inspection objects; a determination unit, used to determine the lighting requirements of multiple inspection objects based on the multiple object features; and a generation unit, used to generate a lighting strategy for the target drone based on the lighting requirements.
[0108] Optionally, the determination unit includes: a first determination subunit, used to determine lighting requirement information of multiple inspection objects based on multiple object features, wherein the lighting requirement information includes distance information and ambient light information; and a second determination subunit, used to determine the lighting requirements of multiple inspection objects based on the lighting requirement information.
[0109] Optionally, the first acquisition module 301 further includes: the plurality of object features include at least one of the following: light-emitting semiconductor meter information, mechanical meter information and switch position information.
[0110] Optionally, the lighting device 300 for the drone inspection object also includes: a third acquisition module, used to obtain lighting data and environmental data of multiple inspection objects; and a second execution module, used to perform an update operation on the lighting strategy according to the lighting data and environmental data.
[0111] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the above-mentioned lighting method for unmanned aerial vehicle inspection objects.
[0112] Optionally, in this embodiment, the electronic device may be configured to store a computer program for performing the following steps:
[0113] Step S102, obtaining the flight information and lighting strategy of the target UAV;
[0114] Step S104, controlling the target UAV to perform a flight operation to a preset position according to the flight information;
[0115] Step S106 , in response to the target UAV flying to the preset position, performing lighting operations on multiple inspection objects of the target UAV according to the lighting strategy.
[0116] Optionally, when the processor executes the program, the following steps are also implemented: obtaining work ticket information of the target UAV; and determining multiple inspection objects of the target UAV based on the work ticket information.
[0117] Optionally, when the processor executes the program, the following steps are also implemented: the flight information of the target UAV includes at least one of the following: inspection environment information, UAV route information and obstacle information.
[0118] Optionally, when the processor executes the program, the following steps are also implemented: obtaining multiple object features of multiple inspection objects; determining lighting requirements of the multiple inspection objects based on the multiple object features; and generating a lighting strategy for the target UAV based on the lighting requirements.
[0119] Optionally, when executing the program, the processor further implements the following steps: determining lighting requirement information of multiple inspection objects based on multiple object features, wherein the lighting requirement information includes distance information and ambient light information; and determining lighting requirements of multiple inspection objects based on the lighting requirement information.
[0120] Optionally, when the processor executes the program, the following steps are further implemented: the multiple object features include at least one of the following: light-emitting semiconductor meter information, mechanical meter information and switch position information.
[0121] Optionally, when the processor executes the program, the following steps are also implemented: obtaining lighting data and environmental data of multiple inspection objects; and performing an update operation on the lighting strategy according to the lighting data and environmental data.
[0122] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned substation environment analysis method when running on a computer or a processor.
[0123] Optionally, in this embodiment, the computer-readable storage medium may be configured to store a computer program for performing the following steps:
[0124] Step S102, obtaining the flight information and lighting strategy of the target UAV;
[0125] Step S104, controlling the target UAV to perform a flight operation to a preset position according to the flight information;
[0126] Step S106 , in response to the target UAV flying to the preset position, performing lighting operations on multiple inspection objects of the target UAV according to the lighting strategy.
[0127] Optionally, the storage medium is configured to store program codes for executing the following steps: obtaining work ticket information of the target UAV; and determining multiple inspection objects of the target UAV based on the work ticket information.
[0128] Optionally, the storage medium is configured to store program codes for executing the following steps: the flight information of the target UAV includes at least one of the following: inspection environment information, UAV route information and obstacle information.
[0129] Optionally, the storage medium is configured to store program code for executing the following steps: obtaining multiple object features of multiple inspection objects; determining lighting requirements of the multiple inspection objects based on the multiple object features; and generating a lighting strategy for the target drone based on the lighting requirements.
[0130] Optionally, the storage medium is configured to store program code for executing the following steps: determining lighting requirement information of multiple inspection objects based on multiple object features, wherein the lighting requirement information includes distance information and ambient light information; and determining lighting requirements of multiple inspection objects based on the lighting requirement information.
[0131] Optionally, the storage medium is configured to store program code for executing the following steps: the plurality of object features include at least one of: light emitting semiconductor meter information, mechanical meter information, and switch position information.
[0132] Optionally, the storage medium is configured to store program codes for executing the following steps: acquiring lighting data and environmental data of multiple inspection objects; and performing an update operation on the lighting strategy according to the lighting data and environmental data.
[0133] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.
[0134] An embodiment of the present invention further provides a computer program product, including a computer program, wherein the computer program implements the steps of the above-mentioned method for generating a vehicle test scenario when executed by a processor.
[0135] Optionally, in this embodiment, the computer program product may be configured to store a computer program for performing the following steps:
[0136] Step S102, obtaining the flight information and lighting strategy of the target UAV;
[0137] Step S104, controlling the target UAV to perform a flight operation to a preset position according to the flight information;
[0138] Step S106 , in response to the target UAV flying to the preset position, performing lighting operations on multiple inspection objects of the target UAV according to the lighting strategy.
[0139] Optionally, when the computer program is executed, the following steps are also implemented: obtaining work ticket information of the target UAV; and determining multiple inspection objects of the target UAV based on the work ticket information.
[0140] Optionally, when the computer program is executed, the following steps are also implemented: the flight information of the target UAV includes at least one of the following: inspection environment information, UAV route information and obstacle information.
[0141] Optionally, when the computer program is executed, the following steps are also implemented: obtaining multiple object features of multiple inspection objects; determining lighting requirements of the multiple inspection objects based on the multiple object features; and generating a lighting strategy for the target UAV based on the lighting requirements.
[0142] Optionally, when the computer program is executed, the following steps are also implemented: determining lighting requirement information of multiple inspection objects based on multiple object features, wherein the lighting requirement information includes distance information and ambient light information; and determining lighting requirements of multiple inspection objects based on the lighting requirement information.
[0143] Optionally, when the computer program is executed, the following steps are also implemented: the multiple object features include at least one of the following: light-emitting semiconductor meter information, mechanical meter information and switch position information.
[0144] Optionally, when the computer program is executed, the following steps are also implemented: obtaining lighting data and environmental data of multiple inspection objects; and performing an update operation on the lighting strategy according to the lighting data and environmental data.
[0145] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0146] In some embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.
[0147] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0148] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0149] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a grid device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., which can store program codes.
[0150] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
Claims
1. A method for lighting an object inspected by a drone, characterized in that: include: Obtain the flight information and lighting strategy of the target UAV; Control the target UAV to perform a flight operation to a preset position according to the flight information; In response to the target UAV flying to the preset position, a lighting operation is performed on multiple inspection objects of the target UAV according to the lighting strategy.
2. The lighting method for an unmanned aerial vehicle inspection object according to claim 1, characterized in that: The method further comprises: Obtaining work ticket information of the target UAV; A plurality of inspection objects of the target UAV are determined according to the work ticket information.
3. The lighting method for an unmanned aerial vehicle inspection object according to claim 1, characterized in that: The flight information of the target UAV includes at least one of the following: inspection environment information, UAV route information and obstacle information.
4. The lighting method for an unmanned aerial vehicle inspection object according to claim 1, characterized in that: Acquiring the lighting strategy of the target UAV includes: Acquire multiple object features of the multiple inspection objects; determining lighting requirements of the plurality of inspection objects according to the plurality of object features; A lighting strategy for the target UAV is generated according to the lighting requirements.
5. The lighting method for an unmanned aerial vehicle inspection object according to claim 4, characterized in that: Determining the lighting requirements of the plurality of inspection objects according to the plurality of object features comprises: Determine lighting requirement information of the multiple inspection objects according to the multiple object features, wherein the lighting requirement information includes distance information and ambient light information; The lighting requirements of the multiple inspection objects are determined according to the lighting requirement information.
6. The lighting method for an unmanned aerial vehicle inspection object according to claim 4, characterized in that: The plurality of object features include at least one of: light emitting semiconductor meter information, mechanical meter information, and switch position information.
7. The lighting method for an unmanned aerial vehicle inspection object according to claim 1, characterized in that: The method further comprises: Acquire lighting data and environmental data of the multiple inspection objects; An update operation is performed on the lighting strategy according to the lighting data and the environment data.
8. A lighting device for an unmanned aerial vehicle inspection object, characterized in that: include: The first acquisition module is used to obtain the flight information and lighting strategy of the target UAV; A control module, used for controlling the target UAV to perform a flight operation to a preset position according to the flight information; The first execution module is used to perform lighting operations on multiple inspection objects of the target drone according to the lighting strategy in response to the target drone flying to the preset position.
9. An electronic device, comprising a memory and a processor, characterized in that: The memory stores a computer program, and the processor is configured to run the computer program to execute the lighting method for an object inspected by a drone as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the lighting method for an object inspected by a drone as described in any one of claims 1 to 7 when running on a computer or a processor.
Citation Information
Patent Citations
Automatic light supplement system for substation inspection robot and inspection robot
CN111590639A
Illumination control method and system for unmanned aerial vehicle and readable storage medium
CN116828670A
Intelligent auxiliary lighting system, method, and movable platform
US20210195717A1
Light supplementing control method, light supplementing control module and unmanned aerial vehicle
WO2019061398A1