Forest grass wet land survey monitoring system based on RTK unmanned aerial vehicle laser radar

Abstract

The invention provides an RTK unmanned aerial vehicle laser radar-based forest grass wet area survey monitoring system, which is characterized by comprising an unmanned aerial vehicle platform and at least one laser radar sensor for acquiring three-dimensional information of the ground and vegetation; the RTK positioning system is used for providing high-precision position information of the unmanned aerial vehicle in real time; the data processing unit is used for receiving data transmitted by the laser radar sensor and the RTK positioning system; and the monitoring software is used for providing a user-friendly interface and supporting visual display, query, analysis and report generation of data. According to the invention, through combination of the RTK positioning system and the laser radar sensor, high-precision positioning of the unmanned aerial vehicle and three-dimensional information acquisition of the ground and vegetation are realized, and the accuracy of monitoring data is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of remote sensing monitoring, and in particular to a forest, grass, wetland and wasteland survey and monitoring system based on RTK unmanned aerial vehicle laser radar. Background Art

[0002] Forest, grassland and wetland resources are an important part of the earth's ecosystem and are of great significance for maintaining ecological balance, protecting biodiversity and promoting sustainable development. However, traditional forest, grassland and wetland survey methods have many shortcomings, such as insufficient data accuracy, long survey cycle, and high labor costs. With the rapid development of drone technology and lidar technology, new technical means have been provided for the monitoring of forest, grassland and wetland resources. However, how to effectively integrate these technologies to achieve high-precision and high-efficiency monitoring is still a problem that needs to be solved urgently. Summary of the invention

[0003] In order to solve the above problems, the present invention proposes a forest, grassland and wetland survey and monitoring system based on RTK UAV lidar. The system combines an UAV platform, a lidar sensor, an RTK positioning system, a data processing unit and monitoring software to achieve efficient and accurate monitoring of forest, grassland and wetland resources.

[0004] A forest, grass and wetland survey and monitoring system based on RTK UAV laser radar, including:

[0005] An unmanned aerial vehicle platform having flight stability and data transmission capabilities for carrying and supporting the following components;

[0006] At least one laser radar sensor, installed on the UAV platform, for emitting laser beams and receiving echoes reflected from the ground, thereby obtaining three-dimensional information of the ground and vegetation;

[0007] RTK positioning system, integrated into the UAV platform or connected to the UAV platform, is used to provide high-precision position information of the UAV in real time;

[0008] The data processing unit is connected to the UAV platform for receiving data transmitted by the lidar sensor and the RTK positioning system, and processes and analyzes the data to generate three-dimensional models of forest, grass, wetland resources, vegetation distribution maps, topographic maps and other information;

[0009] Monitoring software runs on a data processing unit or a computer device connected to it, and is used to provide a user-friendly interface to support data visualization, query, analysis and report generation.

[0010] Furthermore, the laser radar sensor is a pulse laser radar or a phase laser radar, which can measure parameters such as the height, shape and density of the ground and vegetation.

[0011] Furthermore, the RTK positioning system includes a base station and a mobile station. The base station is fixed on a known coordinate point, and the mobile station is installed on a UAV platform. Through real-time differential processing, high-precision positioning at the centimeter level or even the millimeter level can be achieved.

[0012] Furthermore, the data processing unit includes a data storage module, a data processing algorithm module and a data output module. The data storage module is used to store original data and processed data, the data processing algorithm module is used to perform data processing and analysis tasks, and the data output module is used to transmit the processed data to the monitoring software in a visual form or through an interface.

[0013] Furthermore, the monitoring software has a map overlay function, which can overlay the generated forest, grassland, wetland and wasteland resource information on a geographic information system (GIS) map for spatial analysis and decision support.

[0014] Furthermore, the system also includes a flight planning module for planning the flight path, flight altitude and flight speed of the drone before flight to optimize data collection efficiency and quality.

[0015] Furthermore, the system also includes a safety monitoring module for real-time monitoring of the flight status, battery power and flight environment of the drone to ensure flight safety.

[0016] The method for using the forest, grass, wetland and wasteland survey and monitoring system based on RTK UAV laser radar is characterized by comprising:

[0017] a) Use the flight planning module to plan the flight mission of the drone;

[0018] b) Start the UAV platform and fly it according to the planned path. At the same time, the lidar sensor and RTK positioning system start working to collect data;

[0019] c) The data processing unit receives and processes the collected data to generate relevant information on forest, grass, wetland and wasteland resources;

[0020] d) Use monitoring software to view, analyze and report the forest, grassland and wetland resource information generated.

[0021] Beneficial Effects

[0022] High-precision monitoring: Through the combination of RTK positioning system and lidar sensor, high-precision positioning of the UAV and acquisition of three-dimensional information of the ground and vegetation are achieved, ensuring the accuracy of monitoring data.

[0023] Efficient monitoring: The drone platform can cover a large area in a short time, greatly improving monitoring efficiency. At the same time, the optimized design of the flight planning module further improves the efficiency and quality of data collection.

[0024] Visual display: The monitoring software provides a user-friendly interface and supports visual display, query and analysis of data, making it convenient for users to monitor and manage forest, grassland and wetland resources.

[0025] Safe and reliable: The safety monitoring module monitors the flight status and environment of the drone in real time to ensure flight safety.

[0026] In summary, the forest, grassland and wetland survey and monitoring system based on RTK UAV laser radar of the present invention has the advantages of high precision, high efficiency, visual display, safety and reliability, and provides strong technical support for the monitoring and management of forest, grassland and wetland resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a system diagram of a forest, grassland, wetland and wasteland survey and monitoring system based on RTK UAV laser radar of the present invention. DETAILED DESCRIPTION

[0028] like Figure 1 As shown in the figure, a forest, grass and wetland survey and monitoring system based on RTK UAV laser radar includes:

[0029] UAV platform: It has flight stability and data transmission capabilities, and is used to carry and support components such as lidar sensors and RTK positioning systems. The UAV platform can fly stably in complex environments and transmit monitoring data in real time.

[0030] LiDAR sensor: Installed on the UAV platform, it is used to emit laser beams and receive echoes reflected from the ground to obtain three-dimensional information of the ground and vegetation. LiDAR sensors can measure parameters such as the height, shape and density of the ground and vegetation, providing basic data for subsequent data processing and analysis.

[0031] RTK positioning system: integrated into the UAV platform or connected to the UAV platform, used to provide high-precision position information of the UAV in real time. The RTK positioning system includes a base station and a rover. The base station is fixed at a known coordinate point, and the rover is installed on the UAV platform. Through real-time differential processing, high-precision positioning at the centimeter level or even the millimeter level is achieved to ensure the accuracy of monitoring data.

[0032] Data processing unit: It is connected to the UAV platform and is used to receive data transmitted by the lidar sensor and the RTK positioning system, and process and analyze the data. The data processing unit includes a data storage module, a data processing algorithm module, and a data output module. The data storage module is used to store raw data and processed data; the data processing algorithm module is used to perform data processing and analysis tasks, such as generating three-dimensional models of forest, grass, wetland resources, vegetation distribution maps, topographic maps and other information; the data output module is used to transmit the processed data to the monitoring software in a visual form or through an interface.

[0033] Monitoring software: runs on a data processing unit or a computer device connected to it, and is used to provide a user-friendly interface to support data visualization, query, analysis and report generation. The monitoring software has a map overlay function, which can overlay the generated forest, grass, wetland and wasteland resource information on a geographic information system (GIS) map for spatial analysis and decision support.

[0034] In addition, the system also includes a flight planning module and a safety monitoring module. The flight planning module is used to plan the flight path, flight altitude and flight speed of the drone before flight to optimize data collection efficiency and quality. The safety monitoring module is used to monitor the flight status, battery power and flight environment of the drone in real time to ensure flight safety.

[0035] The method of using the present invention includes:

[0036] a) Use the flight planning module to plan the flight mission of the drone;

[0037] b) Start the UAV platform and fly it according to the planned path. At the same time, the lidar sensor and RTK positioning system start working to collect data;

[0038] c) The data processing unit receives and processes the collected data to generate relevant information on forest, grass, wetland and wasteland resources;

[0039] d) Use monitoring software to view, analyze and report the forest, grassland and wetland resource information generated.

[0040] 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.

[0041] 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.

[0042] 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 this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A forest, grass and wetland survey and monitoring system based on RTK UAV laser radar, characterized in that: include: An unmanned aerial vehicle platform having flight stability and data transmission capabilities for carrying and supporting the following components; At least one laser radar sensor, installed on the UAV platform, for emitting laser beams and receiving echoes reflected from the ground, thereby obtaining three-dimensional information of the ground and vegetation; RTK positioning system, integrated into the UAV platform or connected to the UAV platform, is used to provide high-precision position information of the UAV in real time; The data processing unit is connected to the UAV platform for receiving data transmitted by the lidar sensor and the RTK positioning system, and processes and analyzes the data to generate three-dimensional models of forest, grass, wetland resources, vegetation distribution maps, topographic maps and other information; Monitoring software runs on a data processing unit or a computer device connected to it, and is used to provide a user-friendly interface to support data visualization, query, analysis and report generation.

2. The forest, grass and wetland survey and monitoring system based on RTK UAV laser radar according to claim 1 is characterized in that: The laser radar sensor is a pulse laser radar or a phase laser radar, which can measure parameters such as the height, shape and density of the ground and vegetation.

3. The forest, grass and wetland survey and monitoring system based on RTK UAV laser radar according to claim 1 is characterized in that: The RTK positioning system includes a base station and a mobile station. The base station is fixed on a known coordinate point, and the mobile station is installed on a UAV platform. Through real-time differential processing, high-precision positioning at the centimeter level or even the millimeter level is achieved.

4. The forest, grass and wetland survey and monitoring system based on RTK UAV laser radar according to claim 1 is characterized in that: The data processing unit includes a data storage module, a data processing algorithm module and a data output module. The data storage module is used to store original data and processed data, the data processing algorithm module is used to perform data processing and analysis tasks, and the data output module is used to transmit the processed data to the monitoring software in a visual form or through an interface.

5. The forest, grass and wetland survey and monitoring system based on RTK UAV laser radar according to claim 1 is characterized in that: The monitoring software has a map overlay function, which can overlay the generated forest, grassland, wetland and wasteland resource information on a geographic information system (GIS) map for spatial analysis and decision support.

6. The forest, grass and wetland survey and monitoring system based on RTK UAV laser radar according to claim 1 is characterized in that: The system also includes a flight planning module for planning the flight path, flight altitude and flight speed of the UAV before flight to optimize data collection efficiency and quality.

7. The forest, grass and wetland survey and monitoring system based on RTK UAV laser radar according to claim 1 is characterized in that: The system also includes a safety monitoring module for real-time monitoring of the UAV's flight status, battery power and flight environment to ensure flight safety.

8. The method for using the forest, grass, wetland and wasteland survey and monitoring system based on RTK UAV laser radar according to any one of claims 1 to 7, characterized in that: include: a) Use the flight planning module to plan the flight mission of the drone; b) Start the UAV platform and fly it according to the planned path. At the same time, the lidar sensor and RTK positioning system start working to collect data; c) The data processing unit receives and processes the collected data to generate relevant information on forest, grass, wetland and wasteland resources; d) Use monitoring software to view, analyze and report the forest, grassland and wetland resource information generated.

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