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Unmanned aerial vehicle spraying work airline and load planning method

A technology for drones and operations, which is applied in navigation computing tools, three-dimensional position/channel control, vehicle position/route/altitude control, etc., which can solve the problem of drone battery life and limit the overall development of drones, etc. , to achieve the effect of reducing invalid energy loss, improving operational efficiency, and reducing flight range

Active Publication Date: 2018-11-23
南京农行者数字科技有限公司
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AI Technical Summary

Problems solved by technology

This is a fatal shortcoming in the development of drones, which greatly limits the overall development of my country's drone industry. To promote the sustainable and healthy development of the drone market, it is imminent to solve the problem of drone battery life.

Method used

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  • Unmanned aerial vehicle spraying work airline and load planning method
  • Unmanned aerial vehicle spraying work airline and load planning method
  • Unmanned aerial vehicle spraying work airline and load planning method

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Embodiment Construction

[0049] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0050] see Figure 1-Figure 4 , the UAV spraying operation route and load planning method of the present invention comprise the following steps:

[0051] (1) Collect the farmland information to be sprayed, the spraying parameters and the technical parameters of the UAV, so as to generate the operation frame of the UAV, and the operation frame is the frame of the farmland. Wherein, the farmland information includes the coordinates of the vertices of the farmland frame, the farmland length m and the farmland width n; the UAV technical parameters include the UAV maximum load Z M , Spray flow L P , Flight speed V during spraying operation P And spray width d;

[0052] (2) Select the take-off point of the UAV and establish a Cartesian coordinate system according to the bo...

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Abstract

The invention discloses an unmanned aerial vehicle spraying work airline and load planning method. The method comprises the following steps that 1, farmland information and unmanned aerial vehicle technical parameters are acquired; 2, an unmanned aerial vehicletake-off point is selected, and a rectangular coordinate system is built; 3, an unmanned aerial vehicle spraying work airline preset chartis generated; 4, an unmanned aerial vehicle spraying work total range HZ and a spraying range HM under an unmanned aerial vehicle maximum load ZM are calculated; 5, the number j of homeward voyage times is calculated; 6, according to the number j of homeward voyage times and an airline planning algorithm, an unmanned aerial vehicle spraying work airline is planned, and supply points and homeward voyage points are obtained; 7, based on the planned unmanned aerial vehicle spraying work airline, an optimal load algorithm is adopted for planning an unmanned aerial vehicle one-way work load to obtain the unmanned aerial vehicle one-way optimal work load Zd. By means of the unmanned aerial vehicle spraying work airline and load planning method, energy consumption during unmanned aerial vehicle work can be reduced, work time is reduced, and the efficiency is improved.

Description

technical field [0001] The invention relates to the field of UAV plant protection operations, in particular to a UAV spraying operation route and load planning method. Background technique [0002] At present, the drones on the market mainly use lithium polymer batteries as the main power, and the battery life is generally between 20 minutes and 30 minutes, but the charging time is more than one hour. After most drones have been flying for ten to twenty minutes, someone must replace the battery or plug in the charging cable for them, resulting in three or four batteries that are usually carried when going out. This is a fatal shortcoming in the development of drones, which greatly limits the overall development of my country's drone industry. To promote the sustainable and healthy development of the drone market, it is imminent to solve the problem of drone battery life. [0003] The route planning algorithm of the existing plant protection UAV farmland spraying operation n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20G05D1/10
CPCG01C21/20G05D1/101
Inventor 李继宇朱长威兰玉彬李一凡展义龙
Owner 南京农行者数字科技有限公司
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