Multi-source information fusion and intelligent decision autonomous-flight plant protection unmanned aerial vehicle and control method thereof

Abstract

The invention discloses a multi-source information fusion and intelligent decision autonomous-flight plant protection unmanned aerial vehicle and a control method thereof. The multi-source informationfusion and intelligent decision autonomous-flight plant protection unmanned aerial vehicle comprises an information acquisition system, a surface control station and a plant protection unmanned aerial vehicle; the information acquisition system includes an unmanned aerial vehicle acquisition system, a weather acquisition system and an internet disease condition acquisition server; the unmanned aerial vehicle acquisition system includes a high-spectral camera, airborne radar, a CCD (charge coupled device) camera, and a GPS (global positioning system), a Beidou system and an acquisition unmanned aerial vehicle body; the weather acquisition system includes a wind speed sensor, a wind direction sensor and a weather acquisition controller; the plant protection unmanned aerial vehicle comprisesan unmanned aerial vehicle body, a pesticide application system and a navigation system; all the acquisition unmanned aerial vehicle body, the weather acquisition control unit, the internet disease condition acquisition server and the plant protection unmanned aerial vehicle body are in wireless communication connection with the surface control station. The problems are solved that, for instance,an existing plant protection unmanned aerial vehicle acquires little information, crop information, weather information and operation information are not fused, and intelligent precision automated pesticide application is difficult to implement.

Description

technical field [0001] The invention belongs to the technical field of agricultural plant protection drones, and specifically relates to a multi-source information fusion intelligent decision-making autonomous flying plant protection drone and a control method. Background technique [0002] Agricultural plant protection drones have the remarkable characteristics of high operating efficiency, low labor intensity, less labor input, high degree of intelligence, and wide adaptability, and have developed rapidly in recent years. In 2017, the number of agricultural drones with a load of more than 5Kg in my country has reached 10,000 units, surpassing Japan to rank first in the world; the area of ​​plant protection operations has increased from less than 100,000 mu in 2013 to more than 100 million mu in 2017 The number of agricultural drone manufacturers increased from less than 10 in 2010 to 260 in 2016, and the output value of drone agricultural applications reached more than 1 bi...

AI Technical Summary

Problems solved by technology

First, the existing flight control systems at home and abroad have not yet realized real-time perception of information such as crops, environmental weather, etc., and have not been effectively integrated with flight information, and cannot realize real-time adjustment of operating parameters according to factors such as crop height and wind speed, and the operating accuracy is difficult to guarantee

The second is the lack of an integrated intelligent control system, which makes the operation complex and difficult

In terms of spraying by drones for plant protection, the vast majority of agricultural drones use independent spraying devices and constant spraying. The spray volume cannot be effectively combined with the operating speed of agricultural drones, field crops, disease conditions and other information, and it is difficult to achieve intelligence. precision medicine

[0004] To sum up, at present, my country's agricultural drones have not yet achieved multi-source information detection and fusion, and it is difficult to meet the needs of autonomous flight in complex farmland environments. Rapid improvement of work level

Images