Intelligent forestry investigation operation system based on RTK module carried by unmanned aerial vehicle

Abstract

The invention discloses an intelligent forestry investigation operation system based on an RTK module carried by an unmanned aerial vehicle. The intelligent forestry investigation operation system comprises an unmanned aerial vehicle platform, the RTK module, a data acquisition module, a data processing and analysis module, a map generation module and a cloud platform. According to the intelligent forestry investigation operation system based on the RTK module carried by the unmanned aerial vehicle, on one hand, the working efficiency of forestry investigation can be improved, and on the other hand, high-precision data acquisition and analysis can be ensured, so that the functions of precise forest resource management, health monitoring, disaster prediction and the like are realized; and the method has a wide application prospect.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicle forestry survey, and in particular to an intelligent forestry survey operation system based on an unmanned aerial vehicle equipped with an RTK module. Background Art

[0002] With the growth of the global population and the acceleration of urbanization, the management and protection of forest resources have become increasingly important. As the "lungs" of the earth, forests not only play a vital role in ecological balance, climate regulation, and water source protection, but also provide humans with abundant resources such as wood, medicinal materials, and food.

[0003] With the continuous development of UAV technology and RTK (real-time dynamic positioning) technology, this situation has been significantly improved. However, although the existing UAV forestry survey system has achieved certain application results in some fields, there are still some technical bottlenecks and shortcomings. For example, the existing system still relies on manual intervention in data processing and analysis, and the data processing efficiency is low.

[0004] Therefore, in order to solve the above-mentioned technical problems, an intelligent forestry survey operation system based on a UAV equipped with an RTK module is needed. Summary of the invention

[0005] The present invention aims to solve one of the technical problems in the above-mentioned technology at least to some extent.

[0006] To achieve the above-mentioned purpose, the first aspect of the present invention proposes an intelligent forestry survey operation system based on a drone equipped with an RTK module, comprising:

[0007] S1. UAV platform: The UAV platform includes a flight control module, a power system, a communication module and a sensor carrier;

[0008] S2, RTK module: the RTK module is electrically connected to the UAV platform and is used to provide high-precision real-time positioning information for the UAV platform;

[0009] S3, data acquisition module: the data acquisition module includes sensors and acquisition devices for collecting ground information, and the sensors include at least environmental monitoring sensors, image acquisition sensors, laser radar sensors and meteorological sensors;

[0010] S4, data processing and analysis module: the data processing and analysis module is used to process the data collected by the data collection module and generate a forestry resource information report. The data processing and analysis module includes a computer hardware and software system, which can process the data collected from the drone in real time and generate a report;

[0011] S5, map generation module: used to generate geographic information maps or three-dimensional maps based on the high-precision location information provided by the RTK module and the ground data of the data acquisition module to assist decision-making analysis;

[0012] S6. Cloud platform: The cloud platform is used to store and manage data for remote access and analysis by users, and supports communication with user terminals.

[0013] In addition, the intelligent forestry survey operation system based on the drone equipped with the RTK module according to the present invention may also have the following additional technical features:

[0014] Furthermore, the UAV platform is any one of a multi-rotor UAV, a fixed-wing UAV or a hybrid UAV.

[0015] Furthermore, the RTK module can provide real-time centimeter-level positioning accuracy. The RTK module includes a base station and a mobile station. The base station is a known position, and the mobile station is an RTK receiver on the drone.

[0016] Furthermore, the data acquisition module further includes an image sensor for acquiring the growth status of the forest floor and trees, and the image sensor includes a high-definition RGB camera, an infrared camera, a hyperspectral imaging device or a LiDAR (laser radar) sensor.

[0017] Furthermore, the data processing and analysis module performs image recognition and classification on the images collected by the sensor through an algorithm, and automatically identifies the tree species, tree age, tree height, tree health status and other biological information in the forest area.

[0018] Furthermore, the data processing and analysis module further includes a predictive analysis system based on artificial intelligence.

[0019] Furthermore, the map generation module further supports visual display based on real-time positioning data and collected data.

[0020] Furthermore, the cloud platform can synchronize data with user terminals (including mobile devices, computers, etc.) through the Internet or wireless communication networks.

[0021] Furthermore, the system further includes a task management module for forestry survey task planning and path optimization.

[0022] Furthermore, the system also includes a flight monitoring module for real-time monitoring of the flight status and safety of the UAV.

[0023] According to the present invention, an intelligent forestry survey operation system based on a drone equipped with an RTK module can, on the one hand, improve the work efficiency of forestry surveys, and on the other hand, ensure high-precision data collection and analysis, thereby realizing accurate forest resource management, health monitoring, disaster prediction and other functions, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0025] Figure 1 is a schematic diagram of an intelligent forestry survey operation system based on a drone equipped with an RTK module according to an embodiment of the present invention; DETAILED DESCRIPTION

[0026] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to be used to explain the present invention, but should not be understood as limiting the present invention.

[0027] An intelligent forestry survey operation system based on a UAV equipped with an RTK module according to an embodiment of the present invention is described below in conjunction with the accompanying drawings.

[0028] like Figure 1 As shown, an intelligent forestry survey operation system based on an unmanned aerial vehicle equipped with an RTK module according to an embodiment of the present invention may include.

[0029] Specifically, S1. UAV platform: the UAV platform includes a flight control module, a power system, a communication module and a sensor carrier.

[0030] S2. RTK module: The RTK module is electrically connected to the UAV platform and is used to provide high-precision real-time positioning information for the UAV platform.

[0031] S3. Data acquisition module: The data acquisition module includes sensors and acquisition devices for collecting ground information. The sensors include at least environmental monitoring sensors, image acquisition sensors, lidar sensors and meteorological sensors.

[0032] S4. Data processing and analysis module: The data processing and analysis module is used to process the data collected by the data acquisition module and generate a forestry resource information report. The data processing and analysis module includes computer hardware and software systems, which can process the data collected from the drone in real time and generate a report.

[0033] S5. Map generation module: used to generate geographic information maps or three-dimensional maps based on the high-precision location information provided by the RTK module and the ground data of the data acquisition module to assist decision-making analysis.

[0034] S6. Cloud platform: The cloud platform is used to store and manage data for remote access and analysis by users, and supports communication with user terminals.

[0035] It should be noted that the UAV platform is any one of a multi-rotor UAV, a fixed-wing UAV or a hybrid UAV.

[0036] It should be noted that the RTK module can provide real-time centimeter-level positioning accuracy. The RTK module includes a base station and a mobile station. The base station is a known position, and the mobile station is an RTK receiver on the drone.

[0037] It should be noted that the data acquisition module further includes an image sensor for obtaining the growth status of the forest ground and trees. The image sensor includes a high-definition RGB camera, an infrared camera, a hyperspectral imaging device or a LiDAR (laser radar) sensor, which is convenient for obtaining the forest ground and tree growth status map.

[0038] It should be noted that the data processing and analysis module performs image recognition and classification on the images collected by the sensor through an algorithm, and automatically identifies the tree species, tree age, tree height, tree health status and other biological information in the forest area.

[0039] It should be noted that the data processing and analysis module further includes an artificial intelligence-based predictive analysis system that can predict forest growth trends and potential risks by combining historical data with currently collected data.

[0040] It should be noted that the map generation module further supports visual display based on real-time positioning data and collected data, so as to facilitate the generation of geographic information maps or three-dimensional maps of relevant information such as forest ground, tree distribution, and vegetation coverage.

[0041] It should be noted that the cloud platform can synchronize data with user terminals (including mobile devices, computers, etc.) through the Internet or wireless communication networks, effectively supporting users to monitor, manage and operate the system remotely.

[0042] It should be noted that the system further includes a task management module for forestry survey task planning and path optimization, which can automatically plan the flight path of the drone according to the specific conditions of the forest area and optimize the flight efficiency and data collection effect.

[0043] It should be noted that the system also includes a flight monitoring module for real-time monitoring of the flight status and safety of the drone, which can obtain the drone's flight data, location data and battery power information in real time and perform flight safety assessment.

[0044] It should be noted that the cloud platform supports automatic generation of data analysis reports and automated report push, helping users with forest resource management and decision support.

[0045] It should be noted that the system supports collaborative operations of multiple drones. Multiple drones can jointly perform the same forestry survey task and coordinate flight and data collection through a collaborative control module to ensure efficient and safe operations.

[0046] It should be noted that the system further has data backup and recovery functions to ensure that data integrity can be restored in a timely manner when a failure occurs during data collection or transmission.

[0047] In summary, an intelligent forestry survey operation system based on a drone equipped with an RTK module according to an embodiment of the present invention can, on the one hand, improve the work efficiency of forestry surveys, and on the other hand, ensure high-precision data collection and analysis, thereby realizing accurate forest resource management, health monitoring, disaster prediction and other functions, and has broad application prospects.

[0048] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0049] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0050] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in the field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An intelligent forestry survey operation system based on an unmanned aerial vehicle equipped with an RTK module, characterized in that: include: S1. UAV platform: The UAV platform includes a flight control module, a power system, a communication module and a sensor carrier; S2, RTK module: the RTK module is electrically connected to the UAV platform and is used to provide high-precision real-time positioning information for the UAV platform; S3, data acquisition module: the data acquisition module includes sensors and acquisition devices for collecting ground information, and the sensors include at least environmental monitoring sensors, image acquisition sensors, laser radar sensors and meteorological sensors; S4, data processing and analysis module: the data processing and analysis module is used to process the data collected by the data collection module and generate a forestry resource information report. The data processing and analysis module includes a computer hardware and software system, which can process the data collected from the drone in real time and generate a report; S5, map generation module: used to generate geographic information maps or three-dimensional maps based on the high-precision location information provided by the RTK module and the ground data of the data acquisition module to assist decision-making analysis; S6. Cloud platform: The cloud platform is used to store and manage data for remote access and analysis by users, and supports communication with user terminals.

2. According to claim 1, the intelligent forestry survey operation system based on the unmanned aerial vehicle equipped with the RTK module is characterized in that: The UAV platform is any one of a multi-rotor UAV, a fixed-wing UAV or a hybrid UAV.

3. The intelligent forestry survey operation system based on the unmanned aerial vehicle equipped with the RTK module according to claim 1 is characterized in that: The RTK module can provide real-time centimeter-level positioning accuracy. The RTK module includes a base station and a mobile station. The base station is a known position, and the mobile station is an RTK receiver on the drone.

4. The intelligent forestry survey operation system based on the unmanned aerial vehicle equipped with the RTK module according to claim 1 is characterized in that: The data acquisition module further includes an image sensor for acquiring the growth status of the forest floor and trees, wherein the image sensor includes a high-definition RGB camera, an infrared camera, a hyperspectral imaging device or a LiDAR (laser radar) sensor.

5. The intelligent forestry survey operation system based on the unmanned aerial vehicle equipped with the RTK module according to claim 1 is characterized in that: The data processing and analysis module performs image recognition and classification on the images collected by the sensor through an algorithm, and automatically identifies the tree species, tree age, tree height, tree health status and other biological information in the forest area.

6. The intelligent forestry survey operation system based on the unmanned aerial vehicle equipped with the RTK module according to claim 1 is characterized in that: The data processing and analysis module further includes a predictive analysis system based on artificial intelligence.

7. The intelligent forestry survey operation system based on the unmanned aerial vehicle equipped with the RTK module according to claim 1 is characterized in that: The map generation module further supports visual display based on real-time positioning data and collected data.

8. The intelligent forestry survey operation system based on the unmanned aerial vehicle equipped with the RTK module according to claim 1 is characterized in that: The cloud platform can synchronize data with user terminals (including mobile devices, computers, etc.) through the Internet or wireless communication networks.

9. The intelligent forestry survey operation system based on the unmanned aerial vehicle equipped with the RTK module according to claim 1 is characterized in that: The system further includes a task management module for forestry survey task planning and path optimization.

10. The intelligent forestry survey operation system based on a drone equipped with an RTK module according to claim 1, characterized in that: The system also includes a flight monitoring module for real-time monitoring of the flight status and safety of the UAV.

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