联合收割机跨区作业调度研究
发布时间：2018-12-20 12:41
【摘要】：作为一种新型的农机社会化服务模式,联合收割机跨区作业解决了我国农户小规模经营和大生产之间的矛盾,提高了农机资源的利用率,已成为中国特色农业机械化发展道路的有益探索和成功实践。随着作业范围的逐渐扩大和联合收割机数量的增加,联合收割机跨区作业市场出现激烈的竞争,而联合收割机机具资源调度问题日渐成为影响跨区作业经济效益的主要因素之一。本文以引导联合收割机资源合理配置,根据农场及农村的具体情况,资源整合为导向,对当前主要的联合收割机跨区作业模式进行分析,建立了切合实际的联合收割机跨区作业调度模型,并进行优化仿真获得最佳调度决策方案。主要研究内容如下:(1)针对当前主要的三种联合收割机跨区作业模式进行分析,确定出典型的联合收割机跨区作业模式:以农机合作社为代表的面向订单的机收服务作业模式。在此基础上,对该作业模式中联合收割机资源调度方式及存在的问题进行分析。(2)针对典型的跨区作业模式,本文分析了影响联合收割机跨区调度的关键因素,在考虑多农机点、多机型、作业时间窗、空间距离等因素的前提下,以高收入低成本,准时化为主要调度目标,综合考虑调配路程、机械效率、等待时间等指标,应用路径优化及车间作业调度理论,最终构建适用于联合收割机跨区作业调度的多目标规划数学模型。(3)考虑到联合收割机跨区作业调度问题是多目标规划和NP-hard难问题,本文选择带精英策略的非支配排序遗传算法(NSGA-Ⅱ)将其应用于联合收割机跨区调度模型的求解。此外。针对模型特点,对算法进行设计和改进,包括染色体编码、初始种群产生、选择、交叉、变异过程,并通过MATLAB编程实现。(4)本文结合黑龙江省五常市水稻收获作业的实际情况,将上述调度理论进行应用研究,并对具体的实验结果进行分析,验证调度模型及求解算法的有效性和可行性。本文的研究成果可为跨区作业管理者或者机手提供有效的决策,解决了跨区作业中农机资源调配的技术问题,还为跨区作业下一阶段发展获得最佳的经济效益和社会效益提供理论依据,对我国农业规模化发展、农机社会化服务有长远影响,具有重要的研究意义和重大的现实应用价值。
[Abstract]:As a new type of socialized service mode of agricultural machinery, the cross area operation of combine harvester resolves the contradiction between small-scale management and large-scale production of farmers in our country, and improves the utilization rate of agricultural machinery resources. It has become the beneficial exploration and successful practice of developing agricultural mechanization with Chinese characteristics. With the gradual expansion of the scope of work and the increase in the number of combine harvesters, there is fierce competition in the cross-area operation market of combine harvesters. The resource scheduling problem of combine harvester has become one of the main factors that affect the economic benefit of cross-area operation. In order to guide the rational allocation of the combine harvester resources, according to the specific conditions of the farm and the countryside, and the resource integration as the guide, this paper analyzes the main cross-area operation mode of the combine harvester. In this paper, a practical cross-area job scheduling model of combine harvester is established, and the optimal scheduling decision scheme is obtained by optimizing simulation. The main research contents are as follows: (1) the analysis of the three main cross-area operation modes of combine harvester is carried out. The typical cross-area operation mode of combine harvester is determined: the order-oriented service mode represented by agricultural machinery cooperative. On this basis, the resource scheduling mode of combine harvester and its existing problems are analyzed. (2) aiming at the typical cross-area operation mode, this paper analyzes the key factors that affect the cross-area scheduling of combine harvester. On the premise of considering many agricultural machinery points, multiple models, operating time windows, space distance and so on, with high income and low cost, punctual as the main dispatching target, comprehensive consideration is given to the allocation of distance, mechanical efficiency, waiting time and other indicators. Applying path optimization and job shop scheduling theory, Finally, a multi-objective programming mathematical model suitable for cross-area job scheduling of combine harvester is constructed. (3) considering that the problem of cross-area job scheduling of combine harvester is multi-objective programming and NP-hard difficult problem, In this paper, the non-dominated sorting genetic algorithm (NSGA- 鈪，
本文编号：2388015
[Abstract]:As a new type of socialized service mode of agricultural machinery, the cross area operation of combine harvester resolves the contradiction between small-scale management and large-scale production of farmers in our country, and improves the utilization rate of agricultural machinery resources. It has become the beneficial exploration and successful practice of developing agricultural mechanization with Chinese characteristics. With the gradual expansion of the scope of work and the increase in the number of combine harvesters, there is fierce competition in the cross-area operation market of combine harvesters. The resource scheduling problem of combine harvester has become one of the main factors that affect the economic benefit of cross-area operation. In order to guide the rational allocation of the combine harvester resources, according to the specific conditions of the farm and the countryside, and the resource integration as the guide, this paper analyzes the main cross-area operation mode of the combine harvester. In this paper, a practical cross-area job scheduling model of combine harvester is established, and the optimal scheduling decision scheme is obtained by optimizing simulation. The main research contents are as follows: (1) the analysis of the three main cross-area operation modes of combine harvester is carried out. The typical cross-area operation mode of combine harvester is determined: the order-oriented service mode represented by agricultural machinery cooperative. On this basis, the resource scheduling mode of combine harvester and its existing problems are analyzed. (2) aiming at the typical cross-area operation mode, this paper analyzes the key factors that affect the cross-area scheduling of combine harvester. On the premise of considering many agricultural machinery points, multiple models, operating time windows, space distance and so on, with high income and low cost, punctual as the main dispatching target, comprehensive consideration is given to the allocation of distance, mechanical efficiency, waiting time and other indicators. Applying path optimization and job shop scheduling theory, Finally, a multi-objective programming mathematical model suitable for cross-area job scheduling of combine harvester is constructed. (3) considering that the problem of cross-area job scheduling of combine harvester is multi-objective programming and NP-hard difficult problem, In this paper, the non-dominated sorting genetic algorithm (NSGA- 鈪，
本文编号：2388015
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