Position: Home > Articles > Research on Route Planning Strategy of Agricultural Machinery Operation——Based on Intelligent Agricultural Machinery Big Data Platform
Journal of Agricultural Mechanization Research
2020
(12)
17-22
农机作业路径规划策略研究——基于智慧农机大数据平台
作 者:
张璠;李蔓;常淑惠;张喆
单 位:
关键词:
作业路径规划策略;智慧农机;优化调度算法;作业数据采集
摘 要:
针对我国农机跨区作业中存在的信息不对称、缺少有效农机调度手段等现状,建立了基于"互联网+"的农机作业信息服务平台,通过研发的手机APP、农机智能采集终端,实现了信息智能无缝对接,解决了农机服务产业链中信息不对称的问题。针对多机多地块作业调度问题,分析了基于智慧农机大数据平台的农机作业路径规划模型,设计了基于单位时间平均作业收益最大的优化调度算法,通过智能分单方式为农机大户或农机合作社的多台农机提供最优作业区域和行驶路线。试验结果表明:所提出的算法不仅确保了作物作业及时高效地完成,同时提高了作业收益,减少了作业成本。
译 名:
Research on Route Planning Strategy of Agricultural Machinery Operation——Based on Intelligent Agricultural Machinery Big Data Platform
作 者:
Zhang Fan;Li Man;Chang Shuhui;Zhang Zhe;Agricultural University of Hebei, School of Information Science and Technology;Shijiazhuang Institute of Railway Technology;Hebei Rural Financial Service Center;
关键词:
operational path planning strategy;;intelligent agricultural machinery;;optimal scheduling algorithms;;data Acquisition of agricultural machinery operation
摘 要:
In view of the information asymmetry and the lack of effective agricultural machinery scheduling methods in the process of our country's agricultural machinery operation, the information platform for agricultural machinery operation based on "Internet +" is established in this paper. Through the research and development of mobile APPs and agricultural machinery intelligent acquisition terminal, the information of agricultural machinery operation connection has been realized in the way of intelligent seamless, and the problem of information asymmetry in the agricultural machinery service industry chain has been solved. Aiming at the problem of multi-machine and multi-plot job scheduling, the model of agricultural machinery job path planning based on intelligent agricultural machinery big data platform is analyzed, the optimal scheduling algorithm based on the maximum average work income per unit time is designed, and the optimal operation area and driving route are provided for agricultural machinery large households or agricultural machinery cooperatives in the paper. The experimental results show that the proposed algorithm can not only ensures the timely and efficient completion of crop operations, but also can improve the operating income and reduces the operating costs.