Unmanned aerial vehicle rapid route planning method and related device

Abstract

The embodiment of the invention relates to the technical field of unmanned aerial vehicle equipment, and provides an unmanned aerial vehicle rapid route planning method and a related device, and the method comprises the steps: obtaining first inspection equipment data and second inspection equipment data; according to the first inspection equipment data and the second inspection equipment data, performing inspection power equipment difference value decision on the target inspection area to obtain an area inspection fineness decision result; and if the regional inspection fineness decision result is an inspection rough region, acquiring Cesium three-dimensional earth visual platform map data, planning an unmanned aerial vehicle inspection route by adopting a difference method to obtain an unmanned aerial vehicle inspection fast route, performing difference value decision on a target inspection region according to real-time inspection equipment data, and obtaining an unmanned aerial vehicle inspection fast route. And if the current target inspection area is judged to be the rough inspection area, performing unmanned aerial vehicle rapid inspection line planning on the target inspection area by adopting a difference method, so that the unmanned aerial vehicle inspection efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of unmanned aerial vehicle equipment, and in particular to a method for rapid route planning of unmanned aerial vehicles and related devices. Background Art

[0002] With the continuous advancement of power inspection technology, drone inspection has become an indispensable part of the power industry. With its high efficiency and flexibility, drones play an important role in the inspection process of power equipment.

[0003] Traditional drone route planning methods often rely on manual settings or simple algorithm calculations. When faced with large-scale power equipment inspection tasks, it is difficult to ensure the optimality and efficiency of the route. Summary of the invention

[0004] The embodiment of the present application provides a method for rapid route planning of a UAV and related devices, which can make difference value decisions on the target inspection area based on real-time inspection equipment data, so as to judge the areas that do not need fine inspection. If the current target inspection area is judged as a rough inspection area, the differential method is used to plan the UAV rapid inspection route for the target inspection area, thereby improving the efficiency of UAV inspection.

[0005] A first aspect of an embodiment of the present application provides a method for rapid route planning of a drone, the method comprising:

[0006] Acquire first inspection equipment data and second inspection equipment data, wherein the first inspection equipment data includes task data of the power equipment to be inspected, and the second inspection equipment data includes power equipment data corresponding to the target inspection area;

[0007] According to the first inspection equipment data and the second inspection equipment data, a difference value decision of the inspection power equipment in the target inspection area is made to obtain a regional inspection precision decision result;

[0008] If the inspection precision decision result of the area is a rough inspection area, the Cesium three-dimensional earth visualization platform map data is obtained, and the drone inspection route is planned using the difference method to obtain a drone inspection fast route.

[0009] Furthermore, the use of the differential method to plan the UAV inspection route to obtain the UAV inspection fast route includes:

[0010] Extracting a preset inspection route of the target inspection area from the Cesium three-dimensional earth visualization platform map data;

[0011] Segmenting the preset inspection route to obtain key waypoints;

[0012] According to the preset inspection route and key waypoints, the number of key waypoints is calculated;

[0013] According to the key waypoint number and the preset inspection route, confirm the longitude and latitude data corresponding to the key waypoint number;

[0014] Based on the latitude and longitude data, a quick route for drone inspection is generated.

[0015] Furthermore, confirming the longitude and latitude data corresponding to the key waypoints according to the key waypoints and the preset inspection route includes: using the Cesium terrain service interface in the Cesium three-dimensional earth visualization platform to confirm the longitude and latitude data corresponding to the key waypoints.

[0016] Furthermore, the decision on the difference value of the inspection power equipment in the target inspection area is made based on the first inspection equipment data and the second inspection equipment data to obtain the regional inspection precision decision result, including:

[0017] Extracting the type data of the power equipment to be inspected from the first inspection equipment data;

[0018] Extracting the power equipment type data in the target inspection area from the second inspection equipment data;

[0019] Determine the difference between the type data of the electric power equipment in the inspection task and the type data of the electric power equipment in the target inspection area;

[0020] Comparing the difference value with a preset difference value to obtain a difference value comparison result;

[0021] According to the difference value comparison result, the regional inspection precision decision result is determined.

[0022] Furthermore, the determining of the regional inspection precision decision result according to the difference value comparison result includes:

[0023] If the difference value comparison result is that the difference value is greater than the preset difference value, then confirming that the regional inspection precision decision result is a rough inspection area;

[0024] If the difference value comparison result is that the difference value is less than the preset difference value, then the area inspection fineness decision result is confirmed to be an inspection fine area.

[0025] In this example, the data of the first inspection device and the data of the second inspection device are first obtained, and then a difference decision is made on the power equipment in the target inspection area based on the data of the first inspection device and the second inspection device, so as to judge the inspection precision decision result of the current area. If the result is a rough inspection area, the differential method is used to plan the UAV rapid inspection route for the target inspection area, so as to improve the inspection speed of the UAV in the rough inspection area, thereby increasing the efficiency of the UAV inspection.

[0026] A second aspect of an embodiment of the present application provides a device for rapid route planning of a drone, the device comprising:

[0027] An acquisition unit, configured to acquire first inspection equipment data and second inspection equipment data, wherein the first inspection equipment data includes task data of the power equipment to be inspected, and the second inspection equipment data includes power equipment data corresponding to a target inspection area;

[0028] A decision-making unit, configured to make a decision on the difference value of the power equipment to be inspected in the target inspection area according to the first inspection equipment data and the second inspection equipment data, and obtain a decision result on the precision of the regional inspection;

[0029] The processing unit is used to obtain Cesium three-dimensional earth visualization platform map data if the regional inspection precision decision result is a rough inspection area, and use the difference method to plan the drone inspection route to obtain a drone inspection fast route.

[0030] Further, in the aspect of making a decision on the difference value of the inspection power equipment in the target inspection area according to the first inspection equipment data and the second inspection equipment data to obtain a decision result on the regional inspection precision, the decision unit is used to:

[0031] Extracting the type data of the power equipment to be inspected from the first inspection equipment data;

[0032] Extracting the power equipment type data in the target inspection area from the second inspection equipment data;

[0033] Determine the difference between the type data of the electric power equipment in the inspection task and the type data of the electric power equipment in the target inspection area;

[0034] Comparing the difference value with a preset difference value to obtain a difference value comparison result;

[0035] According to the difference value comparison result, the regional inspection precision decision result is determined.

[0036] Further, in the aspect of determining the regional inspection precision decision result according to the difference value comparison result, the decision unit is also used to:

[0037] If the difference value comparison result is that the difference value is greater than the preset difference value, then confirming that the regional inspection precision decision result is a rough inspection area;

[0038] If the difference value comparison result is that the difference value is less than the preset difference value, then the area inspection fineness decision result is confirmed to be an inspection fine area.

[0039] Further, in the aspect of using the differential method to plan the UAV inspection route to obtain the UAV inspection fast route, the processing unit is used to:

[0040] Extracting a preset inspection route of the target inspection area from the Cesium three-dimensional earth visualization platform map data;

[0041] Segmenting the preset inspection route to obtain key waypoints;

[0042] According to the preset inspection route and key waypoints, the number of key waypoints is calculated;

[0043] According to the key waypoint number and the preset inspection route, confirm the longitude and latitude data corresponding to the key waypoint number;

[0044] Based on the latitude and longitude data, a quick route for drone inspection is generated.

[0045] Further, in the step of confirming the longitude and latitude data corresponding to the key waypoint number according to the key waypoint number and the preset inspection route, the processing unit is further used for:

[0046] The Cesium terrain service interface in the Cesium three-dimensional earth visualization platform is used to confirm the longitude and latitude data corresponding to the key waypoints.

[0047] A third aspect of an embodiment of the present application provides a terminal, comprising a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the step instructions of the drone rapid route planning method in the first aspect of the embodiment of the present application.

[0048] The fourth aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables the computer to execute part or all of the steps described in the drone rapid route planning method in the first aspect of the embodiment of the present application.

[0049] A fifth aspect of the embodiments of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the method for rapid route planning of a drone in the first aspect of the embodiments of the present application. The computer program product may be a software installation package. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 A schematic diagram of the overall process of a method for rapid route planning of a drone is provided for an embodiment of the present application;

[0052] Figure 2 A specific flow chart of a method for rapid route planning of a drone for making inspection difference value decisions for power equipment in a target inspection area is provided for an embodiment of the present application;

[0053] Figure 3 A specific flow chart of inspection route planning of a method for rapid route planning of a drone is provided for an embodiment of the present application;

[0054] Figure 4 A schematic diagram of the structure of a UAV rapid route planning device is provided for an embodiment of the present application;

[0055] Figure 5 A schematic diagram of the structure of a terminal provided in an embodiment of the present application;

[0056] Reference numerals:

[0057] Acquisition unit-1, decision unit-2, processing unit-3. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0059] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. 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 limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0060] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0061] In order to better understand the UAV fast route planning method provided by the embodiment of the present application, the following first briefly introduces the scenario of applying the UAV fast route planning method. In the application scenario of UAV inspection of power equipment, different areas and different types of power equipment require different precision during the inspection process, and the traditional UAV route planning method is often unable to be flexibly adjusted according to actual needs. All areas with power equipment are planned according to the same standard for inspection routes, which wastes inspection time in areas where fine inspection is not required, and is inefficient.

[0062] The UAV fast route planning method is applied to the Cesium 3D earth visualization platform. Figure 1 The figure shows a schematic diagram of the overall process of a method for fast route planning of a UAV. Figure 1 As shown, including:

[0063] S1. Obtain first inspection equipment data and second inspection equipment data, wherein the first inspection equipment data includes task data of the power equipment to be inspected, which is used to indicate which power equipment the drone needs to inspect in this inspection task and which of these power equipment are key inspection power equipment, and the second inspection equipment data includes power equipment data corresponding to the target inspection area, and the terrain file service of the target inspection area is loaded from the Cesium 3D earth visualization platform to obtain the second inspection equipment data.

[0064] S2. According to the first inspection equipment data and the second inspection equipment data, a decision is made on the difference value of the inspection power equipment in the target inspection area to obtain a decision result on the regional inspection precision. Figure 2The specific process diagram of a UAV fast route planning method for making inspection power equipment difference value decisions in the target inspection area is shown. Figure 2 As shown, including:

[0065] S201. Extracting the type data of the power equipment to be inspected from the first inspection equipment data.

[0066] S202: Extract the power equipment type data of the target inspection area from the second inspection equipment data.

[0067] S203: Determine the difference between the type data of the electric power equipment in the inspection task and the type data of the electric power equipment in the target inspection area.

[0068] S204: Compare the difference value with a preset difference value to obtain a difference value comparison result.

[0069] S205: Determine the regional inspection precision decision result according to the difference value comparison result. Specifically, it includes:

[0070] S205A, if the difference value comparison result is that the difference value is greater than the preset difference value, then the regional inspection precision decision result is confirmed as a rough inspection area. This indicates that the power equipment type data in the target inspection area is significantly different from the power equipment type data in the target inspection area. At this time, the power equipment in the target inspection area is not an important target of this drone inspection mission, and no fine inspection is required.

[0071] S205B, if the difference value comparison result is that the difference value is less than the preset difference value, then the regional inspection precision decision result is confirmed as the inspection fine area. This indicates that the difference between the power equipment type data in the target inspection area and the power equipment type data in the target inspection area is small. At this time, the power equipment in the target inspection area is an important target of this drone inspection mission and needs to be finely inspected.

[0072] S3. If the inspection precision decision result of the area is a rough inspection area, obtain the Cesium three-dimensional earth visualization platform map data, use the difference method to plan the drone inspection route, and obtain the drone inspection fast route. Figure 3 The following is a schematic diagram showing the specific process of inspection route planning of a UAV fast route planning method. Figure 3 As shown, including:

[0073] S301. Extracting a preset inspection route of the target inspection area from the Cesium three-dimensional earth visualization platform map data.

[0074] S302. Segment the preset inspection route to obtain key waypoints. According to the shortest path principle, simplify the preset inspection route into line segments connecting the start and end points of the interval from a bird's-eye view. Segments are segmented at preset distances as key waypoints. The shorter the segmentation distance, the more precise the route.

[0075] S303. According to the preset inspection route and key waypoints, the number of key waypoints is calculated, and the route distance is divided by the split distance to calculate the number of key waypoints.

[0076] S304: According to the number of key waypoints and the preset inspection route, the Cesium terrain service interface in the Cesium 3D earth visualization platform is used to confirm the longitude and latitude data corresponding to the number of key waypoints. The longitude and latitude intervals of the starting point and the end point are evenly divided by the number of key waypoints to obtain the longitude and latitude data of each key waypoint.

[0077] S305. Generate a drone inspection express route based on the latitude and longitude data. Generate a key point surface elevation sequence based on the latitude and longitude data through the Cesium 3D Earth Visualization Platform, and add a given safety height value to each altitude value in this sequence to obtain an altitude sequence of key waypoints. Then, integrate the key avionics longitude and latitude data to obtain the longitude and longitude and elevation data of the planned route points. The longitude and longitude and elevation data of the planned route points are the drone inspection express route.

[0078] In this example, the data of the first inspection device and the data of the second inspection device are first obtained, and then a difference decision is made on the power equipment in the target inspection area based on the data of the first inspection device and the second inspection device, so as to judge the inspection precision decision result of the current area. If the result is a rough inspection area, the differential method is used to plan the UAV rapid inspection route for the target inspection area, so as to improve the inspection speed of the UAV in the rough inspection area, thereby increasing the efficiency of the UAV inspection.

[0079] In line with the above, see Figure 4 , Figure 4 The present invention provides a schematic diagram of a fast route planning device for a drone. Figure 4 As shown, the device comprises:

[0080] An acquisition unit 1 is used to acquire first inspection equipment data and second inspection equipment data, wherein the first inspection equipment data includes task data of the power equipment to be inspected, and the second inspection equipment data includes power equipment data corresponding to the target inspection area;

[0081] Decision-making unit 2, used to make a decision on the difference value of the power equipment in the target inspection area according to the first inspection equipment data and the second inspection equipment data, and obtain a decision result on the regional inspection precision;

[0082] Processing unit 3 is used to obtain Cesium three-dimensional earth visualization platform map data if the regional inspection precision decision result is a rough inspection area, and use the difference method to plan the drone inspection route to obtain a drone inspection fast route.

[0083] In a possible implementation, in the aspect of making a decision on the difference value of the inspection power equipment in the target inspection area according to the first inspection equipment data and the second inspection equipment data to obtain a decision result on the regional inspection precision, the decision unit 2 is used to:

[0084] Extracting the type data of the power equipment to be inspected from the first inspection equipment data;

[0085] Extracting the power equipment type data in the target inspection area from the second inspection equipment data;

[0086] Determine the difference between the type data of the electric power equipment in the inspection task and the type data of the electric power equipment in the target inspection area;

[0087] Comparing the difference value with a preset difference value to obtain a difference value comparison result;

[0088] According to the difference value comparison result, the regional inspection precision decision result is determined.

[0089] In a possible implementation, in determining the regional inspection precision decision result according to the difference value comparison result, the decision unit 2 is further used to:

[0090] If the difference value comparison result is that the difference value is greater than the preset difference value, then confirming that the regional inspection precision decision result is a rough inspection area;

[0091] If the difference value comparison result is that the difference value is less than the preset difference value, then the area inspection fineness decision result is confirmed to be an inspection fine area.

[0092] In a possible implementation, in the aspect of using the differential method to plan the UAV inspection route to obtain the UAV inspection fast route, the processing unit 3 is used to:

[0093] Extracting a preset inspection route of the target inspection area from the Cesium three-dimensional earth visualization platform map data;

[0094] Segmenting the preset inspection route to obtain key waypoints;

[0095] According to the preset inspection route and key waypoints, the number of key waypoints is calculated;

[0096] According to the key waypoint number and the preset inspection route, confirm the longitude and latitude data corresponding to the key waypoint number;

[0097] Based on the latitude and longitude data, a quick route for drone inspection is generated.

[0098] In a possible implementation, in confirming the longitude and latitude data corresponding to the key waypoint number according to the key waypoint number and the preset inspection route, the processing unit 3 is further used to:

[0099] The Cesium terrain service interface in the Cesium three-dimensional earth visualization platform is used to confirm the longitude and latitude data corresponding to the key waypoints.

[0100] For the above embodiments, please refer to Figure 5 , Figure 5 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, as shown in the figure, includes a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for executing the following steps;

[0101] Acquire first inspection equipment data and second inspection equipment data, wherein the first inspection equipment data includes task data of the power equipment to be inspected, and the second inspection equipment data includes power equipment data corresponding to the target inspection area;

[0102] According to the first inspection equipment data and the second inspection equipment data, a difference value decision of the inspection power equipment in the target inspection area is made to obtain a regional inspection precision decision result;

[0103] If the inspection precision decision result of the area is a rough inspection area, the Cesium three-dimensional earth visualization platform map data is obtained, and the drone inspection route is planned using the difference method to obtain a drone inspection fast route.

[0104] In this example, the data of the first inspection device and the data of the second inspection device are first obtained, and then a difference decision is made on the power equipment in the target inspection area based on the data of the first inspection device and the second inspection device, so as to judge the inspection precision decision result of the current area. If the result is a rough inspection area, the differential method is used to plan the UAV rapid inspection route for the target inspection area, so as to improve the inspection speed of the UAV in the rough inspection area, thereby increasing the efficiency of the UAV inspection.

[0105] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that in order to realize the above functions, the terminal includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0106] The embodiment of the present application can divide the terminal into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0107] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the drone rapid route planning methods recorded in the above method embodiments.

[0108] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute part or all of the steps of any one of the drone rapid route planning methods recorded in the above method embodiments.

[0109] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0110] In the above embodiments, 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.

[0111] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as 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, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0112] 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 on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0113] In addition, the functional units in the various embodiments of the application 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 units may be implemented in the form of hardware or in the form of software program modules.

[0114] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially 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, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0115] A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0116] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for rapid route planning of an unmanned aerial vehicle, characterized in that: Applied to Cesium 3D Earth visualization platform, including: Acquire first inspection equipment data and second inspection equipment data, wherein the first inspection equipment data includes task data of the power equipment to be inspected, and the second inspection equipment data includes power equipment data corresponding to the target inspection area; According to the first inspection equipment data and the second inspection equipment data, a difference value decision of the inspection power equipment in the target inspection area is made to obtain a regional inspection precision decision result; If the inspection precision decision result of the area is a rough inspection area, the Cesium three-dimensional earth visualization platform map data is obtained, and the drone inspection route is planned using the difference method to obtain a drone inspection fast route.

2. The method for rapid route planning of a UAV according to claim 1, characterized in that: The differential method is used to plan the UAV inspection route to obtain the UAV inspection fast route, including: Extracting a preset inspection route of the target inspection area from the Cesium three-dimensional earth visualization platform map data; Segmenting the preset inspection route to obtain key waypoints; According to the preset inspection route and key waypoints, the number of key waypoints is calculated; According to the key waypoint number and the preset inspection route, confirm the longitude and latitude data corresponding to the key waypoint number; Based on the latitude and longitude data, a quick route for drone inspection is generated.

3. The method for rapid route planning of a UAV according to claim 2, characterized in that: The method of confirming the longitude and latitude data corresponding to the key waypoint number according to the key waypoint number and the preset inspection route includes: using the Cesium terrain service interface in the Cesium three-dimensional earth visualization platform to confirm the longitude and latitude data corresponding to the key waypoint number.

4. The method for rapid route planning of a UAV according to claim 1, characterized in that: The step of making a decision on the difference value of the power equipment to be inspected in the target inspection area according to the first inspection equipment data and the second inspection equipment data to obtain a decision result on the precision of the regional inspection includes: Extracting the type data of the power equipment to be inspected from the first inspection equipment data; Extracting the power equipment type data in the target inspection area from the second inspection equipment data; Determine the difference between the type data of the electric power equipment in the inspection task and the type data of the electric power equipment in the target inspection area; Comparing the difference value with a preset difference value to obtain a difference value comparison result; According to the difference value comparison result, the regional inspection precision decision result is determined.

5. The method for rapid route planning of a UAV according to claim 4, characterized in that: Determining the regional inspection precision decision result according to the difference value comparison result includes: If the difference value comparison result is that the difference value is greater than the preset difference value, then confirming that the regional inspection precision decision result is a rough inspection area; If the difference value comparison result is that the difference value is less than the preset difference value, then the area inspection fineness decision result is confirmed to be an inspection fine area.

6. A UAV fast route planning device, characterized in that: The device comprises: An acquisition unit, configured to acquire first inspection equipment data and second inspection equipment data, wherein the first inspection equipment data includes task data of the power equipment to be inspected, and the second inspection equipment data includes power equipment data corresponding to a target inspection area; A decision-making unit, configured to make a decision on the difference value of the power equipment to be inspected in the target inspection area according to the first inspection equipment data and the second inspection equipment data, and obtain a decision result on the precision of the regional inspection; The processing unit is used to obtain Cesium three-dimensional earth visualization platform map data if the regional inspection precision decision result is a rough inspection area, and use the difference method to plan the drone inspection route to obtain a drone inspection fast route.

7. The UAV fast route planning device according to claim 6, characterized in that: In the aspect of making a decision on the difference value of the inspection power equipment in the target inspection area according to the first inspection equipment data and the second inspection equipment data to obtain a decision result on the regional inspection precision, the decision unit is used to: Extracting the type data of the power equipment to be inspected from the first inspection equipment data; Extracting the power equipment type data in the target inspection area from the second inspection equipment data; Determine the difference between the type data of the electric power equipment in the inspection task and the type data of the electric power equipment in the target inspection area; Comparing the difference value with a preset difference value to obtain a difference value comparison result; According to the difference value comparison result, the regional inspection precision decision result is determined.

8. The UAV fast route planning device according to claim 6, characterized in that: In the aspect of using the differential method to plan the UAV inspection route to obtain the UAV inspection fast route, the processing unit is used to: Extracting a preset inspection route of the target inspection area from the Cesium three-dimensional earth visualization platform map data; Segmenting the preset inspection route to obtain key waypoints; According to the preset inspection route and key waypoints, the number of key waypoints is calculated; According to the key waypoint number and the preset inspection route, confirm the longitude and latitude data corresponding to the key waypoint number; Based on the latitude and longitude data, a quick route for drone inspection is generated.

9. A terminal, characterized in that: The method comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the UAV rapid route planning method as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor, the processor executes the drone rapid route planning method as described in any one of claims 1 to 5.

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