A method for automated acquisition of outdoor multimedia data based on drone deployment

Abstract

This invention relates to the field of data acquisition technology, specifically to a method for automated acquisition of outdoor multimedia data based on drone deployment. The method includes: uploading the coordinates of a target area for data acquisition; determining the target area based on these coordinates; further uploading the geographic information of the target area; and constructing a three-dimensional model of the target area based on its geographic information. This invention provides drone equipment used for outdoor multimedia data acquisition with path design conditions, making the operation of drone equipment for acquiring outdoor multimedia data more intelligent and unmanned. Simultaneously, by traversing dynamic targets within the multimedia data, the resolution of the acquired multimedia data is adjusted in real time, and the duration of the outdoor multimedia data acquisition is set to ensure that the size and duration of each acquired outdoor multimedia data packet are approximately equal, which is beneficial for subsequent management of the outdoor multimedia data.

Description

Technical Field

[0001] This invention relates to the field of data acquisition technology, and specifically to a method for automated acquisition of outdoor multimedia data based on drone deployment. Background Technology

[0002] Multimedia data acquisition in the field refers to collecting various forms of information in the natural environment using specialized equipment to acquire images, audio, environmental data, etc. It is widely used in fields such as ecological research, geological exploration, and meteorological monitoring, providing first-hand data for scientific research and decision-making, and contributing to a deeper understanding and exploration of natural phenomena.

[0003] Patent application number 201510005140.2 discloses a portable field environment data comprehensive acquisition and analysis system, which includes 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 acquiring data from the sensors and the positioning module. The data storage and analysis subsystem includes a central control module, a data storage module, and a liquid crystal display module. The central control module is used to receive and process data sent by the controller. The central control module is signal-connected to the data storage module and the liquid crystal display module. The central control module is signal-connected to an external host computer.

[0004] The application aims to address the following issue: "The existing field environmental investigation model primarily involves on-site sampling followed by laboratory analysis after the investigation. This model forces researchers to spend a significant amount of time on data collection, preventing them from focusing their main efforts on data analysis and processing, thus greatly limiting the efficiency of professional field environmental investigations. Furthermore, the lack of real-time data and the potential for changes in sample properties during preservation cast doubt on the authenticity of the collected data. While technological advancements have led to the development of electronic investigation equipment such as GPS recorders and portable pH meters, the limited functionality and poor compatibility of these devices still necessitate secondary data integration by researchers."

[0005] However, while there are precedents for using drones equipped with cameras to collect multimedia data in the field, drones still require staff to control their flight during the data collection process. Therefore, it can be seen that there is still room for improvement in the level of intelligence of the technology for collecting multimedia data in the field using drones equipped with cameras.

[0006] To address this, a method for automated acquisition of outdoor multimedia data based on drone deployment is proposed. Summary of the Invention

[0007] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a method for automated acquisition of outdoor multimedia data based on drone deployment, which solves the technical problems mentioned in the background.

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

[0009] A method for automated acquisition of outdoor multimedia data based on drone deployment includes:

[0010] The system uploads the coordinates of the target data acquisition area, determines the target area based on these coordinates, and further uploads the geographic information of the target area. A 3D model of the target area is constructed based on the target area and its geographic information. Any point on the 3D model is iterated using its corresponding real-world coordinates. The model scale is calculated based on the coordinates on the model and the real-world coordinates. The real-world coordinates of all points in the 3D model are then iterated using the calculated scale. Coordinates are selected as data acquisition path nodes within the 3D model. The data acquisition path is determined based on these selected coordinates and uploaded to the UAV. The UAV is then controlled to analyze and acquire multimedia data based on the data acquisition path. The acquired multimedia data is traversed in real-time, capturing and measuring dynamic targets within the data. The multimedia data acquisition resolution is adjusted in real-time based on the dynamic target measurement results. Environmental sensing devices are installed on the UAV surface to perceive environmental parameters in real-time. Return-to-home trigger thresholds are set based on the type of environmental parameter. When any newly sensed environmental parameter exceeds the corresponding return-to-home trigger threshold, the UAV is controlled to turn back along the data acquisition path.

[0011] Furthermore, during the data acquisition target area coordinate upload stage, at least three data acquisition target area coordinates are uploaded;

[0012] The coordinates of the data acquisition target area are defined as (x, y, z). After the data acquisition target area coordinates are uploaded, the z-axis parameter of all coordinates is discarded to obtain the corresponding planar coordinates, denoted as (x1, y1), (x2, y2), (x3, y3), ... The adjacent planar coordinates are connected to form a closed area, which is denoted as the data acquisition target area.

[0013] In the geographic information uploading stage of the data collection target area, a grid is configured for the data collection target area, and the intersection of each axis in the grid is used as the geographic information uploading target. The geographic information of the data collection target area is the altitude of the axis intersection location in the data collection target area.

[0014] Furthermore, during the data acquisition target area coordinate upload stage, at least three data acquisition target area coordinates are uploaded;

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

[0016] In the geographic information uploading stage of the data collection target area, a grid is configured for the data collection target area, and the intersection of each axis in the grid is used as the geographic information uploading target. The geographic information of the data collection target area is the altitude of the axis intersection location in the data collection target area.

[0017] Furthermore, in the data acquisition area 3D model construction stage, the coordinates of the intersection points of the axes of each geographic information source grid in the data acquisition target area are obtained and denoted as (i, j). The geographic information is used as k and combined with (i, j) to obtain the 3D coordinates (i, j, k), then (i1, j1, k1), (i2, j2, k2), (i3, j3, k3), ... are obtained. The distance between each 3D coordinate from the top-down view is used to determine the adjacent coordinates of each 3D coordinate. The top surface of the data acquisition area 3D model is constructed by connecting the adjacent 3D coordinates. The plane representing the data acquisition target area is used as the bottom surface of the data acquisition area 3D model, and the bottom surface intersects with the lowest point of the top surface to complete the construction of the data acquisition area 3D model.

[0018] Furthermore, the operation of selecting coordinates in the 3D model of the data acquisition area is performed manually by the user. At least two coordinates are selected, and during the coordinate selection stage, the two coordinates are marked as the start coordinates and the end coordinates.

[0019] Starting from the starting point coordinates, capture and connect the coordinates other than the nearest adjacent ending point coordinates. Then, using the coordinates connected from the starting point as the capture target, capture and connect the coordinates other than the nearest adjacent ending point coordinates. Continue this process until all coordinates except the ending point are connected. Finally, connect the last connected coordinates with the ending point coordinates to complete the determination of the data acquisition path.

[0020] When capturing coordinates other than the nearest adjacent endpoint coordinates, the straight-line distance between the two points from a top-down perspective is used to determine the nearest adjacent coordinates.

[0021] Furthermore, the drone is equipped with a camera, and the drone flies along the data acquisition path with the camera to collect multimedia data along the data acquisition path.

[0022] The camera on the drone has a downward-facing multimedia data acquisition angle. The camera's image sensor also has a downward-facing range measurement direction. During the analysis of the acquisition path by the camera, the drone is controlled by the range sensor to keep the distance between the drone and the land surface or obstacles at a preset distance.

[0023] Furthermore, during the dynamic target capture phase of multimedia data, a dynamic target judgment threshold is set synchronously. The displacement distance of the dynamic target in two adjacent frames of multimedia data is compared with the dynamic target judgment threshold. Dynamic targets whose displacement distance is greater than the dynamic target judgment threshold are used as measurement targets, and dynamic target measurement is performed.

[0024] The user-side interface allows for custom adjustment of the multimedia data acquisition resolution in the camera mounted on the drone. Based on this adjustment ratio and the dynamic target measurement results of adjacent frames, the multimedia data acquisition resolution is adjusted accordingly.

[0025] Among them, the adjustment of the multimedia data acquisition resolution follows the principle that the larger the dynamic target measurement result, the lower the multimedia data resolution, and vice versa.

[0026] Furthermore, when the camera on the drone device collects multimedia data, it performs the collection operation for a predetermined duration, so that the duration of each multimedia data packet is equal.

[0027] The camera on 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 backend computer device connected to the drone device for controlling the drone device via the network. After the transmission is completed, the internal storage space of the camera is cleared.

[0028] During the multimedia data packet transmission phase after the camera on the drone is saturated, the drone will not move until the internal storage space of the camera is cleared, after which it will continue to move along the data acquisition path with the camera.

[0029] Furthermore, the environmental sensing devices installed on the surface of the drone equipment include: a temperature sensor, a humidity sensor, a rainfall sensor, a snowfall sensor, a wind speed sensor, and a visibility sensor;

[0030] When the UAV equipment turns back along the data acquisition path, the UAV equipment simultaneously records the starting point of the turnaround on the data acquisition path.

[0031] Compared with known public technologies, the technical solution provided by this invention has the following advantages:

[0032] Beneficial effects:

[0033] This invention provides a method for automated acquisition of outdoor multimedia data based on drone deployment. During execution, the method constructs a 3D model of the data acquisition area, providing the drone equipment with acquisition path design conditions, making the drone equipment's acquisition of outdoor multimedia data more intelligent and unmanned. Simultaneously, by traversing dynamic targets within the multimedia data, the resolution of the acquired multimedia data is adjusted in real time, and the acquisition duration is set to ensure that the size and duration of each acquired outdoor multimedia data packet are approximately equal, facilitating subsequent management of the outdoor multimedia data. Finally, environmental perception equipment is added to the drone equipment, enabling it to decide whether to return based on the outdoor environment, thus achieving more intelligent drone control. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0035] Figure 1 This is a flowchart illustrating a method for automated collection of outdoor multimedia data based on drone deployment.

[0036] Figure 2 This is a schematic diagram illustrating an example of a three-dimensional model of the acquisition area in this invention. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0038] The present invention will be further described below with reference to the embodiments.

[0039] Example:

[0040] This embodiment presents a method for automated acquisition of outdoor multimedia data based on drone deployment, such as... Figure 1 As shown, it includes:

[0041] Upload the coordinates of the target area for data collection, determine the target area for data collection based on the coordinates of the target area, and further upload the geographic information of the target area for data collection.

[0042] During the data acquisition target area coordinate upload phase, the uploaded data acquisition target area coordinates shall be no less than three.

[0043] The coordinates of the target area for data acquisition are defined as (x, y, z). After the target area coordinates are uploaded, the z-axis parameter of all coordinates is discarded to obtain the corresponding planar coordinates, denoted as (x1, y1), (x2, y2), (x3, y3), ... The adjacent planar coordinates are connected to form a closed area, which is denoted as the target area for data acquisition.

[0044] In the geographic information uploading stage of the data collection target area, a grid is configured for the data collection target area, and the intersection of each axis in the grid is used as the geographic information uploading target. The geographic information of the data collection target area is the altitude of the axis intersection location in the data collection target area.

[0045] In the stage of configuring the grid for the target area of ​​data acquisition, the following rules apply:

[0046] The maximum spacing between the centerlines of the grid is defined by the user and recorded as the grid centerline spacing base.

[0047]

[0048] In the formula: d is the spacing between adjacent axes of the grid in the data acquisition target area; d0 is the baseline of the grid axis spacing; S is the size of the data acquisition target area; ζ1 is the total number of insect, animal, and plant species in the data acquisition target area; ζ2 is the total number of landform species in the data acquisition target area determined by morphological characteristics; z max z min The maximum and minimum values ​​of the z-axis parameter used to determine the target area for data acquisition; γ is the normalization factor;

[0049] 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.

[0050] By calculating using the above logical formula, the spacing between adjacent axes of the grid in the data acquisition target area is designed, so that the accuracy of the method output results can be adaptively adjusted according to the size of the data acquisition area and related parameters during the actual application stage.

[0051] Based on the target area of ​​data collection and its geographic information, a three-dimensional model of the data collection area is constructed. Then, any point on the three-dimensional model of the data collection area is iterated by applying its corresponding real coordinates. The model scale is obtained based on the coordinates on the model and the real coordinates. The real coordinates of all points in the three-dimensional model of the data collection area are iterated according to the obtained scale.

[0052] In the 3D model construction stage of the data acquisition area, the coordinates of the intersection points of the axes of each geographic information source network in the data acquisition target area are obtained and denoted as (i, j). The geographic information is used as k and combined with (i, j) to obtain the 3D coordinates (i, j, k), then (i1, j1, k1), (i2, j2, k2), (i3, j3, k3), ... are obtained. The distance between each 3D coordinate under the top view is used to determine the adjacent coordinates of each 3D coordinate. The top surface of the 3D model of the data acquisition area is constructed by connecting the adjacent 3D coordinates. The plane representing the data acquisition target area is used as the bottom surface of the 3D model of the data acquisition area, and the bottom surface intersects with the lowest point of the top surface to complete the construction of the 3D model of the data acquisition area.

[0053] In the 3D model of the data acquisition area, coordinates are selected as data acquisition path nodes. The data acquisition path is determined based on the selected coordinates. The data acquisition path is uploaded to the UAV device, and the UAV device is controlled to analyze and acquire multimedia data based on the data acquisition path.

[0054] The operation of selecting coordinates in the 3D model of the data acquisition area is performed manually by the user. At least two coordinates are selected, and during the coordinate selection stage, the two coordinates are marked as the start coordinates and the end coordinates.

[0055] Starting from the starting point coordinates, capture and connect the coordinates other than the nearest adjacent ending point coordinates. Then, using the coordinates connected from the starting point as the capture target, capture and connect the coordinates other than the nearest adjacent ending point coordinates. Continue this process until all coordinates except the ending point are connected. Finally, connect the last connected coordinates with the ending point coordinates to complete the determination of the data acquisition path.

[0056] When capturing coordinates other than the nearest adjacent endpoint coordinates, the straight-line distance between the two points from a top-down perspective is used to determine the nearest adjacent coordinates.

[0057] The system traverses the collected multimedia data in real time, captures and measures dynamic targets in the multimedia data, and adjusts the multimedia data acquisition resolution in real time based on the measurement results of dynamic targets.

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

[0059] The user-side interface allows for custom adjustment of the multimedia data acquisition resolution in the camera mounted on the drone. Based on this adjustment ratio and the dynamic target measurement results of adjacent frames, the multimedia data acquisition resolution is adjusted accordingly.

[0060] Among them, the adjustment of the multimedia data acquisition resolution follows the principle that the larger the dynamic target measurement result, the lower the multimedia data resolution, and vice versa.

[0061] An environmental sensing device is installed on the surface of the drone to sense environmental parameters in real time. A return-to-home trigger threshold is set according to the type of environmental parameter. When any newly sensed environmental parameter exceeds the corresponding return-to-home trigger threshold, the drone is controlled to turn back according to the data collection path.

[0062] When collecting multimedia data, the camera on the drone performs the collection operation for a predetermined duration, so that the duration of each multimedia data packet is equal.

[0063] The camera on the drone simultaneously stores the collected multimedia data packets. When the storage space is full, all the stored multimedia data packets are transmitted to the backend computer connected to the drone for controlling the drone via the network. After the transmission is completed, the internal storage space of the camera is cleared.

[0064] During the phase where the camera on the drone is transmitting multimedia data packets after its storage space is saturated, the drone will no longer move until the storage space inside the camera is cleared, at which point it will continue to move along the data acquisition path with the camera.

[0065] In this embodiment, by executing the above method, based on the technology of drones carrying cameras to collect outdoor multimedia data, a more intelligent control effect is provided, which reduces the need for manual control in the application of this technology and improves the level of intelligence in the actual application stage of this technology.

[0066] See Figure 2 The figure illustrates the shape of a 3D model of the data acquisition area.

[0067] like Figure 1 As shown, the drone is equipped with a camera and flies along the data acquisition path to collect multimedia data along the data acquisition path.

[0068] The camera on the drone has a downward-facing multimedia data acquisition angle. The camera's image sensor also has a downward-facing range measurement direction. During the analysis of the acquisition path by the camera, the drone is controlled by the range sensor to keep the distance between the drone and the land surface or obstacles at a preset distance.

[0069] The above settings allow for further operational configuration of the drone equipment during its flight along the data acquisition path, ensuring more stable flight and effective collection of multimedia data in the field.

[0070] like Figure 1 As shown, the environmental sensing devices installed on the surface of the drone include: temperature sensor, humidity sensor, rainfall sensor, snowfall sensor, wind speed sensor, and visibility sensor.

[0071] When the drone equipment turns back along the data collection path, the drone equipment simultaneously records the starting point of the turnaround on the data collection path.

[0072] The above settings further limit the content of environmental perception devices installed on the surface of drone equipment, and further restrict the flight logic of drones when turning back.

[0073] In summary, the method described in the above embodiments provides the drone equipment used for outdoor multimedia data acquisition with acquisition path design conditions by constructing a three-dimensional model of the data acquisition area. This makes the drone equipment's operation of acquiring outdoor multimedia data more intelligent and unmanned. At the same time, by traversing dynamic targets in the multimedia data, the resolution of the acquired multimedia data is adjusted in real time, and the acquisition duration of the outdoor multimedia data is set to ensure that the size and duration of each acquired outdoor multimedia data packet are approximately equal, which is beneficial for subsequent management of the outdoor multimedia data. Finally, environmental perception equipment is added to the drone equipment, enabling the drone equipment to decide whether to return to base based on the outdoor environment, thereby achieving more intelligent drone control.

[0074] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for automated acquisition of outdoor multimedia data based on drone deployment, characterized in that, include: Upload the coordinates of the target area for data collection, determine the target area for data collection based on the coordinates of the target area, and further upload the geographic information of the target area for data collection. Based on the target area of ​​data collection and its geographic information, a three-dimensional model of the data collection area is constructed. Then, any point on the three-dimensional model of the data collection area is iterated by applying its corresponding real coordinates. The model scale is obtained based on the coordinates on the model and the real coordinates. The real coordinates of all points in the three-dimensional model of the data collection area are iterated according to the obtained scale. During the data acquisition target area defined coordinates upload phase, the uploaded data acquisition target area defined coordinates shall be no less than three; The coordinates of the data acquisition target area are defined as (x, y, z). After the data acquisition target area coordinates are uploaded, the z-axis parameter of all coordinates is discarded to obtain the corresponding planar coordinates, denoted as (x1, y1), (x2, y2), (x3, y3), ... The adjacent planar coordinates are connected to form a closed area, which is denoted as the data acquisition target area. In the geographic information uploading stage of the data collection target area, a grid is configured for the data collection target area, and the intersection of each axis in the grid is used as the geographic information uploading target. The geographic information of the data collection target area is the altitude of the axis intersection location in the data collection target area. In the data acquisition area 3D model construction stage, the coordinates of the intersection points of the axes of each geographic information source grid in the data acquisition target area are obtained and denoted as (i, j). The geographic information is used as k and combined with (i, j) to obtain the 3D coordinates (i, j, k), then (i1, j1, k1), (i2, j2, k2), (i3, j3, k3), ... are obtained. The distance between each 3D coordinate under the top view is used to determine the adjacent 3D coordinates. The top surface of the data acquisition area 3D model is constructed by connecting each 3D coordinate with its adjacent 3D coordinates. The plane representing the data acquisition target area is used as the bottom surface of the data acquisition area 3D model, and the bottom surface intersects with the lowest point of the top surface to complete the construction of the data acquisition area 3D model. In the 3D model of the data acquisition area, coordinates are selected as data acquisition path nodes. The data acquisition path is determined based on the selected coordinates. The data acquisition path is uploaded to the UAV device, and the UAV device is controlled to analyze and acquire multimedia data based on the data acquisition path. The system traverses the collected multimedia data in real time, captures and measures dynamic targets in the multimedia data, and adjusts the multimedia data acquisition resolution in real time based on the measurement results of dynamic targets. An environmental sensing device is installed on the surface of the drone to sense environmental parameters in real time. A return-to-home trigger threshold is set according to the type of environmental parameter. When any newly sensed environmental parameter exceeds the corresponding return-to-home trigger threshold, the drone is controlled to turn back according to the data collection path.

2. The method for automated acquisition of outdoor multimedia data based on UAV deployment according to claim 1, characterized in that, The process of configuring the grid for the data acquisition target area follows the following rules: The maximum spacing between the centerlines of the grid is defined by the user and recorded as the grid centerline spacing base. In the formula: d is the spacing between adjacent axes of the grid in the data acquisition target area; d0 is the baseline of the grid axis spacing; S is the size of the data acquisition target area; ζ1 is the total number of insect, animal, and plant species in the data acquisition target area; ζ2 is the total number of landform species in the data acquisition target area determined by morphological characteristics; z max z min The maximum and minimum values ​​of the z-axis parameter used to determine 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.

3. The method for automated acquisition of outdoor multimedia data based on UAV deployment according to claim 1, characterized in that, The operation of selecting coordinates in the 3D model of the data acquisition area is performed manually by the user. At least two coordinates are selected, and during the coordinate selection stage, the two coordinates are marked as the start coordinates and the end coordinates. Starting from the starting point coordinates, capture and connect the coordinates other than the nearest adjacent ending point coordinates. Then, using the coordinates connected from the starting point as the capture target, capture and connect the coordinates other than the nearest adjacent ending point coordinates. Continue this process until all coordinates except the ending point are connected. Finally, connect the last connected coordinates with the ending point coordinates to complete the determination of the data acquisition path. When capturing coordinates other than the nearest adjacent endpoint coordinates, the straight-line distance between the two points from a top-down perspective is used to determine the nearest adjacent coordinates.

4. The method for automated acquisition of outdoor multimedia data based on UAV deployment according to claim 1, characterized in that, The drone is equipped with a camera and flies along the data acquisition path to collect multimedia data along the data acquisition path. The camera on the drone has a downward-facing multimedia data acquisition angle. The camera's image sensor also has a downward-facing range measurement direction. During the analysis of the acquisition path by the camera, the drone is controlled by the range sensor to keep the distance between the drone and the land surface or obstacles at a preset distance.

5. The method for automated acquisition of outdoor multimedia data based on UAV deployment according to claim 1, characterized in that, During the stage of capturing dynamic targets in multimedia data, a dynamic target judgment threshold is set synchronously. The displacement distance of dynamic targets in two adjacent frames of multimedia data is compared with the dynamic target judgment threshold. Dynamic targets whose displacement distance is greater than the dynamic target judgment threshold are used as measurement targets, and dynamic target measurement is performed. The user-side interface allows for custom adjustment of the multimedia data acquisition resolution in the camera mounted on the drone. Based on this adjustment ratio and the dynamic target measurement results of adjacent frames, the multimedia data acquisition resolution is adjusted accordingly. Among them, the adjustment of the multimedia data acquisition resolution follows the principle that the larger the dynamic target measurement result, the lower the multimedia data resolution, and vice versa.

6. The method for automated acquisition of outdoor multimedia data based on UAV deployment according to claim 1, characterized in that, When the camera on the drone collects multimedia data, it performs the collection operation for a predetermined duration, so that the duration of each multimedia data packet is equal. The camera on 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 backend computer device connected to the drone device for controlling the drone device via the network. After the transmission is completed, the internal storage space of the camera is cleared. During the multimedia data packet transmission phase after the camera on the drone is saturated, the drone will not move until the internal storage space of the camera is cleared, after which it will continue to move along the data acquisition path with the camera.

7. The method for automated acquisition of outdoor multimedia data based on UAV deployment according to claim 1, characterized in that, The environmental sensing devices installed on the surface of the drone include: temperature sensor, humidity sensor, rainfall sensor, snowfall sensor, wind speed sensor, and visibility sensor; When the UAV equipment turns back along the data acquisition path, the UAV equipment simultaneously records the starting point of the turnaround on the data acquisition path.

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