Method for automatically collecting field multimedia data based on unmanned aerial vehicle launching

Abstract

The invention relates to the technical field of data acquisition, in particular to a field multimedia data automatic acquisition method based on unmanned aerial vehicle launching, which comprises the following steps: uploading a data acquisition target area limit coordinate, determining a data acquisition target area based on the target area limit coordinate, and further uploading geographic information of the data acquisition target area; according to the field multimedia data acquisition method, acquisition path design conditions are provided for the unmanned aerial vehicle equipment used for field multimedia data acquisition, so that the operation of acquiring the field multimedia data by the unmanned aerial vehicle equipment tends to be intelligent and unmanned; meanwhile, the resolution ratio of the collected multimedia data is adjusted in real time by traversing the dynamic target in the multimedia data, and the collection duration of the field multimedia data is set, so that the size and duration of each collected field multimedia data packet are approximately equal, and the subsequent management of the field multimedia data is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition, and particularly relates to a method for automatic acquisition of field multimedia data based on drone delivery. Background Art

[0002] Field multimedia data acquisition refers to collecting various forms of information in a natural environment, and using professional equipment to obtain images, audio, environmental data, etc. It is widely used in ecological research, geological exploration, meteorological monitoring and other fields, providing first-hand data for scientific research and decision-making, and helping to deeply understand and explore natural phenomena.

[0003] The invention patent application with the application number 201510005140.2 discloses a portable comprehensive acquisition and analysis system for field environmental data: including an environmental data acquisition subsystem and a data storage and analysis subsystem. The environmental data acquisition subsystem includes sensors, a positioning module, and a controller for collecting data of the sensors and the positioning module: The data storage and analysis subsystem includes a central main control module, a data storage module, and a liquid crystal display module. The central main control module is used to receive the data sent by the controller and process it. The central main control module is respectively connected to the data storage module and the liquid crystal display module in a signal connection: The central main control module is connected to an external upper computer in a signal connection.

[0004] This application aims to solve the problems of: "The existing field environmental investigation mode is basically field sampling on-site, and laboratory analysis is carried out after the investigation. This mode makes relevant professional researchers spend a lot of time on data acquisition, and cannot focus their main energy on data analysis and processing, greatly restricting the efficiency of professional field environmental investigation. And due to problems such as lack of real-time nature and changes in the properties of samples during the preservation process, the authenticity of the collected data is questioned. With the development of technology, relevant electronic investigation equipment has emerged, such as GPS recorders, portable pH meters, etc. However, due to the single function and poor compatibility of such equipment, researchers still need to perform secondary integration of the data".

[0005] However, there are already precedents in the prior art for collecting field multimedia data by drones equipped with cameras. However, during the process of collecting field multimedia data by drones, it is still necessary to configure staff to control the flight of the drones. Based on this, it can be seen that there is still room for improvement in the degree of intelligence of the technology for collecting field multimedia data by drones equipped with cameras.

[0006] Therefore, a method for automatic acquisition of field multimedia data based on drone delivery is proposed. Summary of the Invention

[0007] In view of the above-mentioned disadvantages of the prior art, the present invention provides a method for automatic collection of field multimedia data based on UAV delivery, which solves the technical problems put forward in the above-mentioned background art.

[0008] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0009] A method for automatic collection of field multimedia data based on UAV delivery, including:

[0010] Upload the limited coordinates of the data collection target area, determine the data collection target area based on the limited coordinates of the target area, and further upload the geographical information of the data collection target area; construct a three-dimensional model of the data collection area according to the data collection target area and its geographical information, and further apply the corresponding real coordinates to any point on the three-dimensional model of the data collection area for iteration. Based on the coordinates on the model and the real coordinates, calculate the model scale, and perform real coordinate iteration on all points in the three-dimensional model of the data collection area according to the calculated scale; select coordinates as data collection path nodes in the three-dimensional model of the data collection area, determine the data collection path based on the selected coordinates, upload the data collection path to the UAV device, and control the UAV device to analyze and collect multimedia data based on the data collection path; traverse the collected multimedia data in real time, capture and measure the dynamic targets in the multimedia data, and adjust the multimedia data collection resolution in real time according to the measurement results of the dynamic targets; install an environmental perception device on the surface of the UAV device to perceive the environmental parameters in real time, and set the return trigger determination threshold respectively based on the type of environmental parameters. When any newly perceived environmental parameter exceeds the corresponding return trigger determination threshold, control the UAV to return along the data collection path.

[0011] Furthermore, in the stage of uploading the limited coordinates of the data collection target area, the uploaded limited coordinates of the data collection target area are not less than three;

[0012] The form of the limited coordinates of the data collection target area is (x, y, z). After the limited coordinates of the data collection target area are uploaded, the z-axis parameters of all coordinates are discarded to obtain the corresponding plane coordinates, denoted as (x1, y1), (x2, y2), (x3, y3),..., and the adjacent plane coordinates are connected to form a closed area, denoted as the data collection target area;

[0013] In the stage of uploading the geographical information of the data collection target area, configure an axis network for the data collection target area, and use the intersection points of each axis in the axis network as the targets for uploading geographical information. The geographical information of the data collection target area is the altitude of the intersection point position in the data collection target area.

[0014] Further, in the uploading stage of the defined coordinates of the data acquisition target area, no less than three sets of defined coordinates of the data acquisition target area are uploaded;

[0015] The form of the defined coordinates of the data acquisition target area is (x, y, z). After the defined coordinates of the data acquisition target area are uploaded, the z-axis parameters of all coordinates are discarded to obtain the corresponding planar coordinates, denoted as (x1, y1), (x2, y2), (x3, y3),... The adjacent planar coordinates are connected to enclose a closed area, denoted as the data acquisition target area;

[0016] In the uploading stage of the geographic information of the data acquisition target area, an axis network is configured for the data acquisition target area, and the intersection points of the axes in the axis network are used as the targets for uploading geographic information. The geographic information of the data acquisition target area is the elevation of the intersection point positions of the axes in the data acquisition target area.

[0017] Further, in the stage of constructing the three-dimensional model of the data acquisition area, the coordinates of the intersection points of the axes of each geographic information source in the data acquisition target area are obtained, denoted as (i, j). The geographic information is taken as k and combined with (i, j) to obtain three-dimensional coordinates (i, j, k), so there are (i1, j1, k1), (i2, j2, k2), (i3, j3, k3),... The adjacent coordinates of each three-dimensional coordinate are determined from the perspective of the distance between them in the top view. The adjacent three-dimensional coordinates are connected to construct the top surface of the three-dimensional model of the data acquisition area, and the plane representing the data acquisition target area is used as the bottom surface of the three-dimensional model of the data acquisition area, so that the bottom surface intersects with the lowest point of the top surface to complete the construction of the three-dimensional model of the data acquisition area.

[0018] Further, the operation of selecting coordinates in the three-dimensional model of the data acquisition area is manually performed by the user terminal, and no less than two coordinates are selected. In the stage of selecting coordinates, two coordinates are marked as the starting coordinate and the ending coordinate;

[0019] Starting from the starting coordinate, capture and connect the coordinates other than the adjacent nearest ending coordinate. Take the coordinates connected by the starting point as the capture target, capture and connect the coordinates other than the adjacent nearest ending coordinate, and so on continuously until all coordinates other than the ending coordinate are connected. Then connect the last connected coordinate with the ending coordinate to complete the determination of the data acquisition path;

[0020] Among them, when capturing the coordinates other than the adjacent nearest ending coordinate, the straight-line distance between the two points in the top view is used for the determination of the adjacent nearest.

[0021] Further, a camera is mounted on the UAV device. The UAV device carries the camera and flies along the data acquisition path to complete the acquisition of multimedia data on the data acquisition path;

[0022] Among them, the camera multimedia data acquisition perspective carried on the UAV device is vertically downward. A distance sensor is also carried on the imaging end of the camera, and the ranging direction is vertically downward. When the UAV device carries the camera and analyzes the acquisition path, based on the control of the distance sensor, the distance between the UAV device and the ground or obstacles is always the preset distance.

[0023] Furthermore, in the stage of capturing dynamic targets in the multimedia data, a dynamic target determination threshold is synchronously set. The displacement distance of the dynamic target in two adjacent frame pictures in the multimedia data is compared with the dynamic target determination threshold. The dynamic target with a displacement distance of the dynamic target greater than the dynamic target determination threshold is used as the measurement target, and the measurement of the dynamic target is performed.

[0024] The user end customizes the multimedia data acquisition resolution adjustment ratio in the camera carried on the UAV device. Based on the adjustment ratio and the measurement result of the dynamic target in adjacent frames, the multimedia data acquisition resolution is adjusted:

[0025] Among them, the adjustment of the multimedia data acquisition resolution follows that the larger the measurement result of the dynamic target, the lower the multimedia data resolution. Conversely, the higher the multimedia data resolution.

[0026] Furthermore, when the camera carried on the UAV device acquires multimedia data, it performs the acquisition operation for a preset duration so that the duration of each multimedia data packet is equal;

[0027] The camera carried on the UAV device synchronously stores the acquired multimedia data packets. When the storage space is saturated, all the stored multimedia data packets are transmitted to the background computer device connected to the UAV device through the network. After the transmission is completed, the internal storage space of the camera is cleared;

[0028] Among them, in the stage when the camera carried on the UAV device performs the transmission of multimedia data packets after the storage space is saturated, the UAV device no longer moves until the internal storage space of the camera is cleared, and then it continues to carry the camera and move along the data acquisition path.

[0029] Furthermore, the environmental perception devices installed on the surface of the UAV device include: temperature sensor, humidity sensor, rainfall sensor, snowfall sensor, wind speed sensor, visibility sensor;

[0030] When the UAV device returns along the data acquisition path, the UAV device synchronously records the return starting point on the data acquisition path.

[0031] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following

[0032] Beneficial effects:

[0033] The present invention provides a method for automatic acquisition of field multimedia data based on UAV delivery. During the execution of this method, by constructing a three-dimensional model of the data acquisition area, the UAV device used for field multimedia data acquisition is provided with the design conditions for the acquisition path, making the operation of the UAV device for acquiring field multimedia data more intelligent and unmanned. At the same time, by traversing the dynamic targets in the multimedia data, the resolution of the acquired multimedia data is adjusted in real time, and the acquisition duration of the field multimedia data is set, so that the size and duration of each acquired field multimedia data packet are close to equal, which is beneficial to the subsequent management of field multimedia data. Finally, an environmental perception device is added to the UAV device, enabling the UAV device to decide whether to return based on the field environmental conditions, thus realizing more intelligent UAV control. Brief description of the drawings

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0035] Figure 1 It is a schematic flowchart of a method for automatic acquisition of field multimedia data based on UAV delivery;

[0036] Figure 2 It is an exemplary schematic diagram of the three-dimensional model of the acquisition area in the present invention. Detailed implementation manners

[0037] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0038] The following further describes the present invention with reference to the embodiments.

[0039] Embodiment:

[0040] A method for automatic acquisition of field multimedia data based on UAV delivery in this embodiment, as Figure 1 shown, includes:

[0041] Upload the defined coordinates of the data acquisition target area, determine the data acquisition target area based on the defined coordinates of the target area, and further upload the geographical information of the data acquisition target area;

[0042] In the upload stage of the defined coordinates of the data acquisition target area, the uploaded defined coordinates of the data acquisition target area are not less than three;

[0043] The form of the defined coordinates of the data acquisition target area is (x, y, z). After the upload of the defined coordinates of the data acquisition target area is completed, the z-axis parameters of all coordinates are discarded to obtain the corresponding plane coordinates, denoted as (x1, y1), (x2, y2), (x3, y3),..., and the adjacent plane coordinates are connected to form a closed area, denoted as the data acquisition target area;

[0044] In the upload stage of the geographical information of the data acquisition target area, configure an axis network for the data acquisition target area, use the intersection points of each axis in the axis network as the target for uploading geographical information, and the geographical information of the data acquisition target area is the elevation of the intersection point position of the axis in the data acquisition target area;

[0045] In the stage of configuring the axis network for the data acquisition target area, it follows that:

[0046] The user-defined maximum distance between the axes in the axis network is denoted as the axis network axis distance base;

[0047]

[0048] In the formula: d is the distance between adjacent axes of the axis network configured for the data acquisition target area; d 0 is the axis network axis distance base; S is the size of the data acquisition target area; ζ 1 is the total number of insect, animal, and plant species in the data acquisition target area; ζ 2 is the total number of landform types determined by morphological characteristics in the data acquisition target area; z max 、z min are the maximum and minimum values of the z-axis parameters of the coordinates used when determining the data acquisition target area; γ is the normalization factor;

[0049] Among them, z max 、z min are from z1, z2, z3,... The normalization factor γ > 0, and the normalization factor γ is used to control the value of d so that d ≤ d 0 holds. The landforms determined by morphological characteristics include: mountains, hills, plains, and basins;

[0050] Through the above logical formula calculation, the adjacent axis spacing of the axis network configured for the data acquisition target area is designed, so that in the actual application stage of the method in this embodiment, the accuracy of the method output result can be adaptively adjusted according to the size of the data acquisition area and related parameters.

[0051] Construct a three-dimensional model of the data acquisition area according to the data acquisition target area and its geographical information. Further, iterate any point on the three-dimensional model of the data acquisition area using its corresponding real-world coordinates. Based on the coordinates on the model and the real-world coordinates, calculate the model scale, and perform real-world coordinate iteration on all points in the three-dimensional model of the data acquisition area according to the calculated scale.

[0052] In the stage of constructing the three-dimensional model of the data acquisition area, obtain the coordinates of the intersection points of the axis lines of each geographical information source in the data acquisition target area, denoted as (i, j). Take the geographical information as k and combine it with (i, j) to obtain the three-dimensional coordinates (i, j, k). Then there are (i1, j1, k1), (i2, j2, k2), (i3, j3, k3),... Determine the adjacent coordinates of each three-dimensional coordinate from the perspective of the distance between them in the top view. Connect the adjacent three-dimensional coordinates to construct the top surface of the three-dimensional model of the data acquisition area. Use the plane representing the data acquisition target area as the bottom surface of the three-dimensional model of the data acquisition area, and make the bottom surface intersect at the lowest point of the top surface to complete the construction of the three-dimensional model of the data acquisition area.

[0053] Select coordinates in the three-dimensional model of the data acquisition area as data acquisition path nodes. Based on the selected coordinates, determine the data acquisition path, upload the data acquisition path to the drone device, and control the drone device to analyze and collect multimedia data based on the data acquisition path.

[0054] The operation of selecting coordinates in the three-dimensional model of the data acquisition area is manually performed by the user terminal. At least two coordinates are selected, and during the coordinate selection stage, mark two coordinates as the starting coordinate and the ending coordinate.

[0055] Starting from the starting coordinate, capture and connect the coordinates other than the adjacent nearest ending coordinate. Use the coordinates connected by the starting point as the capture target, capture and connect the coordinates other than the adjacent nearest ending coordinate, and continuously execute in this way until all coordinates except the ending coordinate are connected. Then connect the last connected coordinate with the ending coordinate to complete the determination of the data acquisition path.

[0056] Among them, when capturing the coordinates other than the adjacent nearest ending coordinate, the straight-line distance between two points in the top view is used for the determination of the adjacent nearest.

[0057] Traverse the collected multimedia data in real time, capture and measure the dynamic targets in the multimedia data, and adjust the multimedia data acquisition resolution in real time according to the measurement results of the dynamic targets.

[0058] In the stage of capturing dynamic targets in multimedia data, the dynamic target determination threshold is synchronously set. The displacement distance of the dynamic target in two adjacent frames of the multimedia data is compared with the dynamic target determination threshold, and the dynamic target with a displacement distance greater than the dynamic target determination threshold is used as the measurement target, and the measurement of the dynamic target is performed;

[0059] The user terminal customizes the multimedia data acquisition resolution adjustment ratio in the camera carried by the UAV device. Based on the adjustment ratio and the measurement result of the dynamic target in adjacent frames, the multimedia data acquisition resolution is adjusted:

[0060] Among them, the adjustment of the multimedia data acquisition resolution follows that the greater the measurement result of the dynamic target, the lower the multimedia data resolution, and vice versa, the higher the multimedia data resolution;

[0061] An environmental perception device is installed on the surface of the UAV device to continuously perceive environmental parameters, and the return trigger determination threshold is set respectively based on the type of environmental parameters. When any newly perceived environmental parameter exceeds the corresponding return trigger determination threshold, the UAV is controlled to return along the data acquisition path;

[0062] When the camera carried by the UAV device acquires multimedia data, the acquisition operation is performed for a predetermined duration so that the duration of each multimedia data packet is equal;

[0063] The camera carried by the UAV device synchronously stores the acquired multimedia data packets. When the storage space is saturated, all the stored multimedia data packets are transmitted to the background computer device connected to the UAV device through the network, and after the transmission is completed, the internal storage space of the camera is cleared;

[0064] Among them, in the stage where the camera carried by the UAV device performs the transmission of multimedia data packets after the storage space is saturated, the UAV device does not perform displacement until the internal storage space of the camera is cleared, and then it continues to move along the data acquisition path with the camera.

[0065] In this embodiment, by implementing the above method, based on the technology of using a UAV to carry a camera to acquire field multimedia data, a more intelligent control effect is provided, making the demand for manual control lower during the application of this technology and improving the intelligence level in the actual application stage of this technology;

[0066] See Figure 2 , which shows the form of the three-dimensional model of the data acquisition area.

[0067] Such as Figure 1As shown in the figure, a camera is mounted on the drone device. The drone device carries the camera and flies along the data collection path to complete the collection of multimedia data on the data collection path.

[0068] Among them, the multimedia data collection perspective of the camera mounted on the drone device is vertically downward. A distance sensor is also mounted on the imaging end of the camera, and the ranging direction is vertically downward. During the analysis process of the collection path by the drone device carrying the camera, based on the control of the distance sensor, the distance between the drone device and the ground or obstacles is always maintained at a preset distance.

[0069] Through the above settings, when the drone device flies along the data collection path, further operation settings are made to ensure that the drone device flies more stably along the data collection path and effectively completes the collection of field multimedia data during flight.

[0070] As Figure 1 shown, the environmental perception devices mounted on the surface of the drone device include: temperature sensor, humidity sensor, rainfall sensor, snowfall sensor, wind speed sensor, visibility sensor;

[0071] When the drone device returns along the data collection path, the drone device synchronously records the return starting point on the data collection path.

[0072] Through the above settings, the content of the environmental perception devices mounted on the surface of the drone device is further defined, and the flight logic of the drone during return is further defined.

[0073] In summary, during the execution of the method in the above embodiments, by constructing a three-dimensional model of the data collection area, the design conditions of the collection path are provided for the drone device used for field multimedia data collection, making the operation of the drone device for collecting field multimedia data more intelligent and unmanned. At the same time, by traversing the dynamic targets in the multimedia data, the resolution of the collected multimedia data is adjusted in real time, and the collection duration of the field multimedia data is set, so that the size and duration of each collected field multimedia data packet are close to equal, which is beneficial to the subsequent management of field multimedia data. Finally, environmental perception devices are added to the drone device, enabling the drone device to decide whether to return according to the field environmental conditions, thus realizing more intelligent drone control.

[0074] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the present invention in each embodiment.

Claims

1. A method for automatic collection of outdoor multimedia data based on drone delivery, characterized in that: include: Upload the limited coordinates of the data collection target area, determine the data collection target area based on the limited coordinates of the target area, and further upload the geographic information of the data collection target area; A three-dimensional model of the data collection area is constructed according to the data collection target area and its geographic information, and any point on the three-dimensional model of the data collection area is further iterated by applying its corresponding real coordinates, and the model scale is obtained based on the coordinates on the model and the real coordinates, and the real coordinates of all points in the three-dimensional model of the data collection area are iterated according to the obtained scale; Select coordinates in the three-dimensional model of the data collection area as data collection path nodes, determine the data collection path based on the selected coordinates, upload the data collection path to the UAV device, and control the UAV device to analyze and collect multimedia data based on the data collection path; Real-time traversal of the collected multimedia data, capturing and measuring dynamic targets in the multimedia data, and adjusting the multimedia data collection resolution in real time according to the dynamic target measurement results; An environmental perception device is installed on the surface of the drone to perceive environmental parameters in real time, and the return trigger judgment threshold is set based on the type of environmental parameters. When any of the latest perceived environmental parameters exceeds the corresponding return trigger judgment threshold, the drone is controlled to return along the data collection path.

2. The method for automatic collection of outdoor multimedia data based on drone delivery according to claim 1 is characterized in that: During the data collection target area limit coordinate uploading stage, the uploaded data collection target area limit coordinates are no less than three; The data acquisition target area limited coordinates are in the form of (x, y, z), and after the data acquisition target area limited coordinates are uploaded, the z-axis parameters of all coordinates are discarded to obtain corresponding plane coordinates, which are recorded as (x1, y1), (x2, y2), (x3, y3), ..., and the plane coordinates are connected adjacently to form a closed area, which is recorded as the data acquisition target area; During the geographic information uploading stage of the data collection target area, an axis grid is configured for the data collection target area, and the intersections of each axis in the axis grid are used as geographic information uploading targets. The geographic information of the data collection target area is the altitude of the axis intersection positions in the data collection target area.

3. The method for automatic collection of outdoor multimedia data based on drone delivery according to claim 2 is characterized in that: The grid configuration phase for the data collection target area is subject to: The maximum spacing of the axis lines in the user-defined axis grid is recorded as the axis grid axis spacing base; Where: d is the distance between adjacent axes of the axis grid configured in the data collection target area; d0 is the cardinality of the axis grid distance; S is the size of the data collection target area; ζ1 is the total number of insect, animal and plant species in the data collection target area; ζ2 is the total number of landform species determined by morphological characteristics in the data collection target area; z max 、z min is the maximum and minimum value of the z-axis parameter of the coordinates used when determining the target area for data acquisition; γ is the normalization factor; Among them, z max 、z min Derived from z1, z2, z3, ..., the normalization factor γ>0, the normalization factor γ is used to control the value of d so that d≤d0 holds. The landforms determined by morphological characteristics include: mountains, hills, plains, and basins.

4. The method for automatic collection of outdoor multimedia data based on drone delivery according to claim 1 is characterized in that: In the stage of constructing the three-dimensional model of the data collection area, the coordinates of the intersection points of the axis lines of each geographic information source in the data collection target area are obtained, denoted as (i, j), and the geographic information is used as k and combined with (i, j) to obtain the three-dimensional coordinates (i, j, k), then (i1, j1, k1), (i2, j2, k2), (i3, j3, k3), ..., and the adjacent coordinates of each three-dimensional coordinate are determined by the spacing under the bird's-eye view. The top surface of the three-dimensional model of the data collection area is constructed by connecting the adjacent three-dimensional coordinates. The plane representing the data collection target area is used as the bottom surface of the three-dimensional model of the data collection area, and the bottom surface is made to intersect with the lowest point of the top surface to complete the construction of the three-dimensional model of the data collection area.

5. The method for automatic collection of outdoor multimedia data based on drone delivery according to claim 1 is characterized in that: The operation of selecting coordinates in the three-dimensional model of the data collection area is manually performed by the user end, and no less than two coordinates are selected, and in the coordinate selection stage, two coordinates are marked as the starting point coordinates and the end point coordinates; Starting from the starting point coordinates, capture the coordinates other than the nearest end point coordinates and connect them. Taking the coordinates connected to the starting point as the capture target, capture the coordinates other than the nearest end point coordinates and connect them. This is performed continuously until all coordinates except the end point are connected. The last connected coordinates are connected to the end point coordinates to complete the determination of the data acquisition path. When capturing coordinates other than the nearest endpoint coordinates, the straight-line distance between the two points in a bird's-eye view is used for determining the nearest coordinates.

6. The method for automatic collection of outdoor multimedia data based on drone delivery according to claim 1 is characterized in that: The drone device is equipped with a camera, and the drone device carries the camera and flies along the data collection path to complete the collection of multimedia data on the data collection path; Among them, the multimedia data collection viewing angle of the camera carried on the drone device is vertically downward. The camera end is also equipped with a distance sensor, and the ranging direction is vertically downward. During the process of analyzing the collection path carried by the camera on the drone device, the distance from the drone device to the land or obstacles is always the preset distance based on the distance sensor control.

7. The method for automatic collection of outdoor multimedia data based on drone delivery according to claim 1 is characterized in that: In the stage of capturing dynamic targets in multimedia data, a dynamic target determination threshold is synchronously set, a displacement distance of dynamic targets in two adjacent frames of multimedia data is compared with the dynamic target determination threshold, a dynamic target whose displacement distance is greater than the dynamic target determination threshold is taken as a measurement target, and measurement of the dynamic target is performed; The user end customizes the multimedia data acquisition resolution adjustment ratio in the camera carried by the drone device, and adjusts the multimedia data acquisition resolution based on the adjustment ratio and the dynamic target measurement results of adjacent frames: Among them, the adjustment of the multimedia data acquisition resolution follows that the larger the dynamic target measurement result, the lower the multimedia data resolution, and vice versa, the higher the multimedia data resolution.

8. The method for automatic collection of outdoor multimedia data based on drone delivery according to claim 1 is characterized in that: When collecting multimedia data, the camera carried by the drone device performs the collection operation at a predetermined time length so that the time length of each multimedia data packet is equal; The camera carried by the drone device synchronously stores the collected multimedia data packets. When the storage space is saturated, all the stored multimedia data packets are transmitted to the background computer device connected to the drone device for controlling the drone device through the network, and after the transmission is completed, the internal storage space of the camera is cleared; Among them, when the camera carried by the drone device performs multimedia data packet transmission after the storage space is saturated, the drone device no longer performs displacement until the internal storage space of the camera is cleared, and then continues to carry the camera and move along the data collection path.

9. The method for automatic collection of outdoor multimedia data based on drone delivery according to claim 1, characterized in that: The environmental sensing devices installed on the surface of the drone equipment include: temperature sensor, humidity sensor, rainfall sensor, snowfall sensor, wind speed sensor, visibility sensor; When the UAV device turns back along the data collection path, the UAV device synchronously records the turning point on the data collection path.

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