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基于元胞自动机模型的未来共享收割机智能化模式
引用本文:魏加争,马莉.基于元胞自动机模型的未来共享收割机智能化模式[J].农机化研究,2021,43(2):225-228,234.
作者姓名:魏加争  马莉
作者单位:中山职业技术学院,广东中山 528400;中山火炬职业技术学院,广东中山528436
基金项目:中山市科技局项目(2017B1129)。
摘    要:当农民没有能力购买农机时,租赁便成为农民满足农机需求的主要方式,而共享作为一种新兴经济模式引起了广泛关注,也在不断发挥着重要作用,将其应用在“三农”领域可弥补租赁模式的不足。为此,提出了一种基于元胞自动机模型的未来共享收割机智能化模式,并采用启发式和遗传算法对模型进行了优化,从而使模型对于农机的共享调度和路径规划更加智能化。为了验证方案的可行性,模拟收割机作业情景,采用元胞自动机模型对收割机的共享调度过程进行了仿真计算,结果表明:采用智能化共享模式可以有效缩短农机的作业时间和作业路径,提高了收割机的作业效率,实现了农机的智能化管理。

关 键 词:农机共享  智能化模式  元胞自动机  路径规划

Intelligent Model of Future Shared Harvester Based on Cellular Automata Model
Wei Jiazheng,Ma Li.Intelligent Model of Future Shared Harvester Based on Cellular Automata Model[J].Journal of Agricultural Mechanization Research,2021,43(2):225-228,234.
Authors:Wei Jiazheng  Ma Li
Institution:(Zhongshan Polytechnic,Zhongshan 528400,China;Zhongshan Torch Polytechnic,Zhongshan 528436,China)
Abstract:When farmers are unable to purchase agricultural machinery,leasing becomes the main way for farmers to meet their needs.As a new economic model,sharing has attracted wide attention and it is playing an important role.If it is applied in the field of agriculture,countryside and farmers,it will be able to make up for the deficiencies of the leasing model.Based on this,it proposed an intelligent model of future shared harvester based on cellular automata model,and heuristic and genetic algorithm are used to optimize the model,which makes the model more intelligent for sharing scheduling and path planning of agricultural machinery.In order to verify the feasibility of the scheme and simulate the harvester operation scenario,the cellular automata model is used to simulate the sharing scheduling process of the harvester.The results show that the intelligent sharing mode can effectively shorten the operation time and path of the agricultural machinery,thus improving the efficiency of the harvester operation.It realizes the intelligent management of agricultural machinery.
Keywords:agricultural machinery sharing  intelligent mode  cellular automata  path planning
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