Literature DB >> 33810149

Route-Planning Method for Plant Protection Rotor Drones in Convex Polygon Regions.

Shaoxing Hu1, Tianliang Xu1, Bingke Wang1.   

Abstract

Aiming at the problem of low operating efficiency due to the poor endurance of plant protection rotor drones and the small volume of pesticide carried, this paper proposes a route-planning algorithm for convex polygon regions based on the initial heading angle. First, a series of coordinate conversion methods ranging from the Earth coordinate system to the local plane coordinate system are studied. Second, in the local plane coordinate system, a route generation method based on subregion is proposed; therefore, multiple routes can be generated with different initial heading angles. Lastly, the optimal route and the best initial heading angle can be obtained after the comparison according to the three evaluation criteria: number of turns, route distance, and pesticide waste rate. The simulation results show that, compared with the common grid method, the route generation method based on subregion reduces the route distance and pesticide waste rate by 2.27% and 13.75%, respectively. Furthermore, it also shows that, compared with the route generated by the initial heading angle of 0°, the optimal route reduces the number of turns, route distance, and pesticide waste rate by 60%, 17.65%, and 38.18%, respectively. The route was optimized in three aspects and reached the best overall result using this method, which in turn proved its feasibility.

Entities:  

Keywords:  coordinate conversion; initial heading angle; number of turns; pesticide waste rate; route distance; route-planning; subregion

Year:  2021        PMID: 33810149     DOI: 10.3390/s21062221

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Genetic Algorithm and Greedy Strategy-Based Multi-Mission-Point Route Planning for Heavy-Duty Semi-Rigid Airship.

Authors:  Shaoxing Hu; Bingke Wang; Aiwu Zhang; Yiming Deng
Journal:  Sensors (Basel)       Date:  2022-06-30       Impact factor: 3.847

2.  A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.

Authors:  Yangyang Liu; Pengyang Zhang; Yu Ru; Delin Wu; Shunli Wang; Niuniu Yin; Fansheng Meng; Zhongcheng Liu
Journal:  Front Plant Sci       Date:  2022-09-16       Impact factor: 6.627

  2 in total

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