Unmanned aerial vehicle railway inspection method and system based on flight control platform

Abstract

The invention relates to the technical field of unmanned aerial vehicles, and discloses an unmanned aerial vehicle railway inspection method and system based on a flight control platform, and the method comprises the steps: obtaining an inspection path of a target railway, and storing the inspection path of the target railway to the flight control platform; in the flight control platform, an unmanned aerial vehicle inspection route and unmanned aerial vehicle shooting parameters are set based on the inspection path of the target railway; generating a plurality of unmanned aerial vehicle control instructions based on the unmanned aerial vehicle inspection route and the unmanned aerial vehicle shooting parameters; and distributing the plurality of unmanned aerial vehicle control instructions to the plurality of unmanned aerial vehicles in a one-to-one correspondence manner, and controlling the plurality of unmanned aerial vehicles to inspect the target railway based on the unmanned aerial vehicle control instructions. According to the invention, the unmanned aerial vehicle can be controlled to quickly arrive at the designated position by setting the unmanned aerial vehicle inspection route and the unmanned aerial vehicle shooting parameters, and shooting is carried out according to the set unmanned aerial vehicle shooting parameters, so that the shooting efficiency of the unmanned aerial vehicle is improved; and only one worker is needed to control a plurality of unmanned aerial vehicles to work, so that the investment of labor cost is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicles, and in particular to a method and system for unmanned aerial vehicle railway inspection based on a flight control platform. Background Art

[0002] With the rapid expansion of China's railways, especially the high-speed rail network, the task of railway safety inspection is becoming increasingly arduous. Inspections are difficult and inefficient in areas with complex terrain and harsh environments, such as mountains, rivers, and wilderness. UAV inspections can effectively improve inspection efficiency. However, most drone inspections currently rely on manual control, which not only requires operators to have professional skills, but also makes the inspection quality and content easily affected by subjective factors. It is difficult for management to accurately assess the inspection site, resulting in poor overall inspection results, high inspection investment, and low inspection efficiency. Summary of the invention

[0003] The technical problem solved by the present invention is to provide a method for UAV railway inspection based on a flight control platform, which effectively solves the technical problems of high investment and low inspection efficiency of UAV line inspection.

[0004] The above technical problems are solved by the following technical solutions:

[0005] A method for inspecting railways using an unmanned aerial vehicle based on a flight control platform, the method comprising:

[0006] Acquire the inspection path of the target railway, and store the inspection path of the target railway in the flight control platform;

[0007] In the flight control platform, the drone inspection route and drone shooting parameters are set based on the inspection path of the target railway;

[0008] Generate a plurality of drone control instructions based on the drone inspection route and the drone shooting parameters;

[0009] The plurality of drone control instructions are assigned one-to-one to the plurality of drones, and the plurality of drones are controlled to inspect the target railway based on the drone control instructions.

[0010] Beneficial effects: By obtaining the inspection path of the target railway and storing the inspection path of the target railway in the flight control platform, the inspection path of the target railway can be further processed in the flight control platform. In the flight control platform, the corresponding drone inspection route and drone shooting parameters can be set for the inspection path of the target railway; then multiple drone control instructions are generated according to the set drone inspection route and drone shooting parameters, so that the drone can work according to the drone control instructions. Finally, the generated multiple drone control instructions are assigned to the drones one by one, so that multiple drones can work according to the received drone control instructions, thereby inspecting the target railway. The drone route and drone shooting parameters are pre-set through the drone control platform, so that the drone can inspect the target railway according to the preset route and shooting parameters, and only one staff member is required to control multiple drones to inspect the target railway, without the need for professionals to control the drones one by one, which effectively reduces the investment in labor costs; further, the drone flies according to the set drone route, and the drone can be controlled to quickly reach the designated location, and shoot according to the set drone shooting parameters, which effectively improves the shooting efficiency of the drone.

[0011] In one embodiment, controlling the drone to inspect the target railway based on the drone control instruction includes:

[0012] Based on the drone shooting parameters, the drone is controlled to shoot the drone inspection route to obtain image data of the inspection path of the target railway.

[0013] In one embodiment, after obtaining the image data of the inspection path of the target railway, the method further includes:

[0014] Transmitting the image data to the flight control platform based on a wireless communication network;

[0015] The image data is viewed and / or analyzed in the flight control platform.

[0016] In one embodiment, the method further comprises:

[0017] Acquire historical image data of the inspection path of the target railway;

[0018] Preprocessing the image data and the historical image data;

[0019] Extracting a first feature of the preprocessed image data and a second feature of the preprocessed historical image data based on a target neural network;

[0020] Comparing the first feature with the second feature to obtain a distinguishing feature between the first feature and the second feature;

[0021] The distinguishing feature is marked on the image data and the historical image data.

[0022] In one embodiment, after controlling the drone to inspect the target railway based on the drone control instruction, the method further includes:

[0023] Obtain the current location and parking area of ​​the drone;

[0024] Determine the flight direction of the drone based on the current position of the drone and the parking area;

[0025] The UAV is controlled to fly in the determined flight direction.

[0026] In one embodiment, after controlling the drone to fly in the determined flight direction, the method further includes:

[0027] Acquire image information around the drone and analyze the image information;

[0028] In response to the presence of a parking area in the image information, the drone is controlled to fly toward the parking area.

[0029] In one embodiment, after controlling the drone to fly toward the parking area, the method further includes:

[0030] Determine whether the distance from the current position of the drone to the parking area is within a preset landing distance range;

[0031] In response to being within the preset landing distance range, the drone is controlled to land in the parking area.

[0032] On the other hand, the present invention also provides a UAV landing control system based on electromagnetic induction, the control system comprising:

[0033] An acquisition module, used for acquiring an inspection path of a target railway and storing the inspection path of the target railway in a flight control platform;

[0034] A preset module, used to set the drone inspection route and the drone shooting angle in the flight control platform based on the inspection path of the target railway;

[0035] A generation module, used to generate a plurality of drone control instructions based on the drone inspection route and the drone shooting angle;

[0036] The control module is used to distribute the multiple drone control instructions to the multiple drones one by one, and control the multiple drones to inspect the target railway based on the drone control instructions.

[0037] On the other hand, the present invention further provides an electronic device, comprising: a memory, a processor, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0038] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the above-mentioned unmanned aerial vehicle inspection railway method based on the flight control platform.

[0039] On the other hand, the present invention also provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable a processor to implement the above-mentioned unmanned aerial vehicle inspection railway method based on a flight control platform when executed. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A schematic diagram of a flow chart of a method for inspecting railways using an unmanned aerial vehicle based on a flight control platform according to an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of a flow chart of a method for inspecting railways using an unmanned aerial vehicle based on a flight control platform according to another embodiment of the present invention;

[0043] Figure 3 This is a schematic diagram of the structure of a UAV railway inspection system based on a flight control platform according to an embodiment of the present invention;

[0044] Figure 4 The figure is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] Combine the following Figures 1 to 4 , describing an embodiment of the present invention.

[0048] According to an embodiment of the present invention, Figure 1 As shown, on the one hand, a method for inspecting railways by using a drone based on a flight control platform is provided, comprising the following steps:

[0049] Step S100: obtaining the inspection path of the target railway, and storing the inspection path of the target railway in the flight control platform;

[0050] Step S200: In the flight control platform, the UAV inspection route and UAV shooting parameters are set based on the inspection path of the target railway;

[0051] Step S300, generating a plurality of drone control instructions based on the drone inspection route and the drone shooting parameters;

[0052] Step S400: assign multiple drone control instructions to multiple drones one by one, and control the multiple drones to inspect the target railway based on the drone control instructions.

[0053] In this embodiment, the inspection path of the target railway is obtained and stored in the flight control platform, so that the inspection path of the target railway can be further processed in the flight control platform. Among them, the inspection path of the target railway can include the railway contact network inspection path, the railway roadbed and cutting inspection path, the railway power supply network inspection path, and the railway surrounding environment inspection path. In the flight control platform, the corresponding drone inspection route and drone shooting parameters can be set for the inspection path of the target railway; among them, the drone shooting parameters can be information such as shooting angle, detail magnification, and number of shots.

[0054] Then, multiple drone control instructions are generated according to the set drone inspection route and drone shooting parameters, so that the drone can work according to the drone control instructions. Finally, the generated multiple drone control instructions are assigned to the drones one by one, so that multiple drones can work according to the received drone control instructions, thereby inspecting the target railway. The drone route and drone shooting parameters are pre-set through the drone control platform, so that the drone can inspect the target railway according to the preset route and shooting parameters, and only one staff member is required to control multiple drones to inspect the target railway, without the need for professionals to control the drones one by one, which reduces the threshold for drone operators and effectively reduces the investment in labor costs; further, the drone flies according to the set drone route, and the drone can be controlled to quickly reach the designated location, and shoot according to the set drone shooting parameters, which effectively improves the shooting efficiency of the drone.

[0055] In one of the embodiments, step S400 includes: based on the drone shooting parameters, controlling the drone to shoot the drone inspection route to obtain image data of the inspection path of the target railway.

[0056] In this embodiment, when the drone flies according to the pre-set drone inspection route, the drone's shooting element shoots the target railway on the drone inspection route according to the set drone shooting parameters to obtain image data of the inspection path of the target railway. The image data includes picture data and video data. By controlling the drone to shoot the inspection path of the target railway according to the drone shooting parameters, it can be ensured that the sampling data of each point in each shooting is consistent and is not affected by subjective factors of the staff, thereby improving the quality and consistency of the captured image data, and facilitating the subsequent comparative analysis between the newly collected image data and the historical image data.

[0057] In one embodiment, after obtaining the image data of the inspection path of the target railway, the method further includes:

[0058] Transmit image data to the flight control platform based on wireless communication network;

[0059] View and / or analyze image data in the flight control platform.

[0060] In this embodiment, after obtaining the image data of the inspection path of the target railway, the collected image data can be automatically transmitted to the flight control platform through a wireless communication network, such as a 5G network; and the image data will undergo some necessary encapsulation and encryption processing during the transmission process to ensure the security and integrity of the image data. For example, the image data is divided into multiple data packets, each of which contains information such as the source of the image data (such as the drone number), the acquisition time, and the type of image data (such as pictures or videos). The image data transmitted by the drone can be further viewed and / or analyzed in the flight control platform. For example, the manager logs in to the flight control platform to view the picture and video data transmitted by the drone; or analyzes the image data on the flight control platform.

[0061] like Figure 2 As shown, in one embodiment, the following steps are also included:

[0062] Step S500, obtaining historical image data of the inspection path of the target railway;

[0063] Step S600, pre-processing the image data and historical image data;

[0064] Step S700, extracting a first feature of the preprocessed image data and a second feature of the preprocessed historical image data based on the target neural network;

[0065] Step S800, comparing the first feature and the second feature to obtain a distinguishing feature between the first feature and the second feature;

[0066] Step S900: Mark distinguishing features on the image data and historical image data.

[0067] In this embodiment, the historical image data of the inspection path of the target railway is first obtained, and the collected image data and historical image data are preprocessed, such as unifying the format of pictures and videos and adjusting the resolution, etc.; to ensure that the image data and historical image data can be compared under the same standard. Further, the first feature of the preprocessed image data and the second feature of the preprocessed historical image data can be extracted through the target neural network, such as the outline of the rails, the structural lines of the bridge, and the surrounding environment of the railway; the first feature is the new image data collected by the drone, and the second feature is the historical image data. Among them, the target neural network can be a convolutional neural network. A large amount of image data can be processed by the target neural network, and it is more efficient and accurate than manual comparison.

[0068] The extracted first feature and the second feature are then compared to determine the distinguishing feature between the first feature and the second feature, that is, the distinguishing point between the historical image data and the newly collected image data; then the distinguishing feature is marked on the image data and the historical image data at the same time, so that the manager can see the difference between the historical image data and the newly collected image data at a glance when viewing the image data. At the same time, the flight control platform will automatically send reminders to the manager, such as by popping up a message box, sending an email or a mobile phone text message, to inform the manager that there are new changes in the target railway that need attention; so that the manager can see the inspection situation on the spot at the first time, and can arrange for processing immediately after discovering the problem, so as to improve the emergency response capability. At the same time, it is also possible to perform annotation training for special image data according to the target neural network, so that the flight control platform can automatically identify risk factors, such as screws falling off, insulator breakdown and blackening, and floating objects such as greenhouses / color steel tiles around the railway. The flight control platform can automatically judge and remind to improve the processing efficiency of image data.

[0069] In one embodiment, after controlling the drone to inspect the target railway based on the drone control instruction, the method further includes:

[0070] Get the current location and parking area of ​​the drone;

[0071] Determine the flight direction of the drone based on the drone’s current location and parking area;

[0072] Control the drone to fly in the determined direction.

[0073] In this embodiment, each drone corresponds to a parking area, i.e., a helipad, and the location of each helipad is recorded in the flight control platform. When the drone inspects the target railway and is ready to return, the current location of the drone and the location of the helipad can be obtained through the global positioning system (GPS). The drone can calculate the distance and flight direction between the drone and the helipad based on its current location and the location of the helipad, and control the drone to fly in the calculated flight direction. During the drone's return, the drone will also continuously adjust the drone's flight direction based on its current location and the location of the helipad so that the drone can fly smoothly to the helipad.

[0074] In one embodiment, after controlling the drone to fly in the determined flight direction, the method further includes:

[0075] Obtain image information around the drone and analyze the image information;

[0076] In response to the presence of a parking area in the image information, the drone is controlled to fly toward the parking area.

[0077] In this embodiment, when the drone approaches the apron, the image information around the drone is obtained through the camera element on the drone, and the obtained image information is analyzed through the visual algorithm; it is determined whether there is a parking area, i.e., the apron, in the image information, and a specific mark or pattern provided on the apron is identified, such as a colored pattern or a specific shape. When it is determined that there is a parking area in the image information, it indicates that the drone is close to the apron. At this time, the drone can be controlled to fly toward the apron so as to quickly land on the apron.

[0078] In one embodiment, after controlling the drone to fly to the parking area, the method further includes:

[0079] Determine whether the distance from the current position of the drone to the parking area is within the preset landing distance range;

[0080] In response to being within a preset landing distance range, the drone is controlled to land in a parking area.

[0081] In this embodiment, after the drone flies to the parking area, the position, size and angle of the apron in the image information are further analyzed by the visual algorithm to determine whether the distance from the current position of the drone to the parking area is within the preset landing distance range. If it is determined to be within the preset landing distance range, the position and posture of the drone can be further fine-tuned by the visual algorithm to align the drone with the center of the apron, ensuring that the drone can accurately land on each drone's respective apron, thereby improving the accuracy and safety of landing.

[0082] According to an embodiment of the present invention, Figure 3 As shown, on the other hand, a UAV inspection railway system based on a flight control platform is also provided, including:

[0083] An acquisition module 100 is used to acquire an inspection path of a target railway and store the inspection path of the target railway in a flight control platform;

[0084] A preset module 200 is used to set the drone inspection route and the drone shooting angle based on the inspection path of the target railway in the flight control platform;

[0085] A generation module 300, for generating a plurality of drone control instructions based on the drone inspection route and the drone shooting angle;

[0086] The control module 400 is used to distribute multiple drone control instructions to multiple drones one by one, and control the multiple drones to inspect the target railway based on the drone control instructions.

[0087] In one embodiment, the control module 400 includes:

[0088] The shooting unit is used to control the drone to shoot the drone inspection route based on the drone shooting parameters, so as to obtain image data of the inspection path of the target railway.

[0089] In one embodiment, the control module 400 further includes:

[0090] A transmission unit, used for transmitting image data to a flight control platform based on a wireless communication network;

[0091] An analysis unit is used to view and / or analyze image data in the flight control platform.

[0092] In one embodiment, it also includes:

[0093] A first acquisition unit is used to acquire historical image data of an inspection path of a target railway;

[0094] A processing unit, used for preprocessing the image data and the historical image data;

[0095] An extraction unit, configured to extract a first feature of the preprocessed image data and a second feature of the preprocessed historical image data based on a target neural network;

[0096] A comparing unit, used for comparing the first feature and the second feature to obtain a distinguishing feature between the first feature and the second feature;

[0097] The marking unit is used to mark the distinguishing features on the image data and the historical image data.

[0098] In one embodiment, it also includes:

[0099] The second acquisition unit acquires the current position and parking area of ​​the UAV;

[0100] A determination unit, used to determine the flight direction of the UAV based on the current position of the UAV and the parking area;

[0101] The first control unit is used to control the UAV to fly in a determined flight direction.

[0102] In one embodiment, it also includes:

[0103] The third acquisition unit is used to acquire image information around the UAV and analyze the image information;

[0104] The second control unit is used to control the UAV to fly toward the parking area in response to the presence of the parking area in the image information.

[0105] In one embodiment, it also includes:

[0106] A determination unit, used to determine whether the distance from the current position of the drone to the parking area is within a preset landing distance range;

[0107] The third control unit is used to control the UAV to land in the parking area in response to being within a preset landing distance range.

[0108] Figure 4 The schematic diagram of the structure of an embodiment of an electronic device provided by an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the electronic device.

[0109] like Figure 4 As shown, the electronic device may include: a processor (processor) 502 , a communication interface (Communications Interface) 504 , a memory (memory) 506 , and a communication bus 508 .

[0110] The processor 502, the communication interface 504, and the memory 506 communicate with each other via the communication bus 508. The communication interface 504 is used to communicate with other devices such as a client or other server network elements. The processor 502 is used to execute the program 510, which can specifically execute the relevant steps in the above-mentioned embodiment of the method for unmanned aerial vehicle inspection of railways based on the flight control platform.

[0111] Specifically, the program 510 may include program code including computer-executable instructions.

[0112] The processor 502 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the electronic device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0113] The memory 506 is used to store the program 510. The memory 506 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0114] Program 510 can be specifically called by processor 502 to enable the electronic device to execute the relevant steps in the above-mentioned embodiment of the method for unmanned aerial vehicle inspection of railways based on a flight control platform.

[0115] It can be understood by those skilled in the art that Figure 4The structure shown is only for illustration and does not limit the structure of the above-mentioned device. Figure 4 More or fewer components as shown, or with Figure 4 Different configurations are shown.

[0116] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0117] In the specific contents of the above-mentioned specific implementation methods, the various technical features can be combined in any non-contradictory manner. In order to make the description concise, not all possible combinations of the above-mentioned technical features are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0118] The specific contents of the above specific embodiments only express several embodiments of the present invention, and the description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A method for inspecting railways using an unmanned aerial vehicle based on a flight control platform, characterized in that: The method comprises: Acquire the inspection path of the target railway, and store the inspection path of the target railway in the flight control platform; In the flight control platform, the drone inspection route and drone shooting parameters are set based on the inspection path of the target railway; Generate a plurality of drone control instructions based on the drone inspection route and the drone shooting parameters; The plurality of drone control instructions are allocated one-to-one to the plurality of drones, and the plurality of drones are controlled to inspect the target railway based on the drone control instructions.

2. The method for inspecting railways by using an unmanned aerial vehicle based on a flight control platform according to claim 1, characterized in that: The controlling the drone to inspect the target railway based on the drone control instruction includes: Based on the drone shooting parameters, the drone is controlled to shoot the drone inspection route to obtain image data of the inspection path of the target railway.

3. The method for inspecting railways by using an unmanned aerial vehicle based on a flight control platform according to claim 2, characterized in that: After obtaining the image data of the inspection path of the target railway, the method further includes: Transmitting the image data to the flight control platform based on a wireless communication network; The image data is viewed and / or analyzed in the flight control platform.

4. The method for inspecting railways by using an unmanned aerial vehicle based on a flight control platform according to claim 3, characterized in that: The method further comprises: Acquire historical image data of the inspection path of the target railway; Preprocessing the image data and the historical image data; Extracting a first feature of the preprocessed image data and a second feature of the preprocessed historical image data based on a target neural network; Comparing the first feature with the second feature to obtain a distinguishing feature between the first feature and the second feature; The distinguishing feature is marked on the image data and the historical image data.

5. The method for inspecting railways by using an unmanned aerial vehicle based on a flight control platform according to claim 1, characterized in that: After controlling the drone to inspect the target railway based on the drone control instruction, the method further includes: Obtain the current location and parking area of ​​the drone; Determine the flight direction of the drone based on the current position of the drone and the parking area; The UAV is controlled to fly in the determined flight direction.

6. The method for inspecting railways by using an unmanned aerial vehicle based on a flight control platform according to claim 5, characterized in that: After controlling the drone to fly in the determined flight direction, the method further includes: Acquire image information around the drone and analyze the image information; In response to the presence of a parking area in the image information, the drone is controlled to fly toward the parking area.

7. The method for inspecting railways by using an unmanned aerial vehicle based on a flight control platform according to claim 6, characterized in that: After controlling the UAV to fly toward the parking area, the method further includes: Determine whether the distance from the current position of the drone to the parking area is within a preset landing distance range; In response to being within the preset landing distance range, the drone is controlled to land in the parking area.

8. A UAV landing control system based on electromagnetic induction, characterized in that: The control system comprises: An acquisition module, used for acquiring an inspection path of a target railway and storing the inspection path of the target railway in a flight control platform; A preset module, used to set the drone inspection route and the drone shooting angle in the flight control platform based on the inspection path of the target railway; A generation module, used to generate a plurality of drone control instructions based on the drone inspection route and the drone shooting angle; The control module is used to distribute the multiple drone control instructions to the multiple drones one by one, and control the multiple drones to inspect the target railway based on the drone control instructions.

9. An electronic device, characterized in that: include: A memory, a processor, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the method for railway inspection by an unmanned aerial vehicle based on a flight control platform 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 computer instructions, and the computer instructions are used to enable a processor to implement the method for railway inspection using an unmanned aerial vehicle based on a flight control platform as described in any one of claims 1 to 7 when executed.

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