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最优选型配置方法在农业机械中的应用
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  • 英文篇名:Optimal selection and allocation method applied in agricultural machinery
  • 作者:张伏 ; 陈天华 ; 王亚飞 ; 滕帅
  • 英文作者:Zhang Fu;Chen Tianhua;Wang Yafei;Teng Shuai;College of Agricultural Equipment Engineering, Henan University of Science and Technology;
  • 关键词:农业机械 ; 选型配置原则 ; 选型方法 ; 配置方法 ; 交叉作业 ; 发展趋势
  • 英文关键词:agricultural machinery;;selection and allocation principle;;selection method;;equipment method;;cross operation;;development trend
  • 中文刊名:GLJH
  • 英文刊名:Journal of Chinese Agricultural Mechanization
  • 机构:河南科技大学农业装备工程学院;
  • 出版日期:2019-05-15
  • 出版单位:中国农机化学报
  • 年:2019
  • 期:v.40;No.303
  • 基金:“十三五”国家重点研发计划项目(2017YFD0301106);; 河南省高等学校青年骨干教师培养计划项目(2017GGJS062)
  • 语种:中文;
  • 页:GLJH201905034
  • 页数:6
  • CN:05
  • ISSN:32-1837/S
  • 分类号:193-198
摘要
随着我国农业机械的快速发展以及种植模式多元化,传统农业机械选型配置方法已不能满足实际需求。围绕上述问题,在现有农业机械选型配置方法基础上,归纳农业机械选型配置的原则;对4种农业机械选型方法和2种农业机械配置方法进行分析总结,概述其特点和适用范围以及发展趋势。其中农业机械选型方法的模糊综合判定法适用于评价因素具有模糊性和不确定性的农业机械选型中、投影寻踪建模法可避免人为因素的干扰,但排除了计算机以外的所有参与者,使得选型结果与实际结果存在一定的差异、价值工程可以以最低的成本实现用户所需要的功能,但对农业机械的分类标准缺乏依据、灰色关联度法对样本数据大小和分布规律没有特殊要求、可在随机因素序列中找出各个因素间关联程度的大小,适用于型号复杂种类繁多的农业机械选型;农业机械配置方法中的一般线性规划法适用于作业单一,机械数量少的农业生产活动中、非线性规划法用于机械型号复杂,数量繁多,且存在交叉作业的农业生产活动。最优选型配置方法的研究为我国农业机械选型配置的发展提供一定的参考价值。
        With the rapid development of agricultural machinery and the diversification of planting patterns, the traditional method of selecting and equipping agricultural machinery have been unable to meet actual needs in China. The principles of agricultural machinery selection and allocation were expatiated based on the existing agricultural machinery selection and allocation methods. Four agricultural machinery selection and two agricultural machinery allocation methods' characteristic applicable scope and development trend were analyzed and summarized. Fuzzy comprehensive judgment method was suitable for the selection of agricultural machinery with fuzziness and uncertainty. Projection pursuit modeling method could avoid the interference of human factors, but excludes all participants outside the computer, which caused the selection results deviate with the actual results. Value engineering could achieve the functions required by users at the lowest cost, but lack of classification standards of agricultural machinery. Grey correlation degree method was suitable for the selection of agricultural machinery with complex types and various types. General linear programming was suitable for agricultural production activities with single operation and small number of machinery. Nonlinear programming method was suitable for complex types of machinery production activities. This research will provide reference value for the development of agricultural machinery selection and configuration in China.
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