Zhang Guozhong, Ji Chao, Wu Qing, Liu Haopeng, Zhou Yong, Fu Jianwei
College of Engineering, Huazhong Agricultural University, Wuhan, China.
Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan, China.
Front Plant Sci. 2022 Oct 10;13:963307. doi: 10.3389/fpls.2022.963307. eCollection 2022.
The stubble crushing caused by the harvester during the first season of ratoon rice harvesting will directly affect the grain yield of the ratoon season. In this work, a harvester path planning method for quadrilateral fields to address the harvester driving path problem of the first season of ratoon rice mechanized harvesting is proposed. This research first analyzes the operational characteristics and requirements of ratoon rice first-season mechanized harvesting, and then models the mechanized harvesting process of ratoon rice in the first season as a capacitated arc routing problem (CARP) considering the fact that the harvester cannot complete the full-coverage harvesting operation at one time due to the limitation of grain bin volume. The genetic algorithm (GA) with strong global search capability is used to solve it, and the selection and variation links of the algorithm are improved. The path planning method proposed in this article can dynamically find the optimal harvester travel route according to the specific conditions of the field and the parameters of harvester implements. The simulation test shows that the CARP method performs better in terms of harvesting path length and crushed area compared to the conventional rectangular detour and foldback reciprocating harvesting paths. The degree of optimization of this method is influenced by various factors such as the width of the cutting table, the turning radius of the harvester, and the size of the grain bin capacity. This research provides a more efficient and flexible path planning method to improve the efficiency of ratoon rice first-season mechanized harvesting operations and optimize the harvester's operating path, which can well meet the operational requirements.
再生稻第一季收割时收割机造成的稻茬碾压会直接影响再生季的粮食产量。本文提出一种针对四边形田地的收割机路径规划方法，以解决再生稻第一季机械化收割中收割机行驶路径问题。该研究首先分析了再生稻第一季机械化收割的作业特点和要求，然后将再生稻第一季机械化收割过程建模为带容量弧路由问题（CARP），考虑到由于粮箱容积限制，收割机无法一次性完成全区域收割作业。采用具有强大全局搜索能力的遗传算法（GA）求解，并对算法的选择和变异环节进行了改进。本文提出的路径规划方法能够根据田地具体情况和收割机作业参数动态找到最优收割机行驶路线。仿真试验表明，与传统的矩形迂回和折返往复式收割路径相比，CARP方法在收割路径长度和碾压面积方面表现更优。该方法的优化程度受割台宽度、收割机转弯半径和粮箱容量大小等多种因素影响。本研究提供了一种更高效、灵活的路径规划方法，以提高再生稻第一季机械化收割作业效率，优化收割机作业路径，能很好地满足作业要求。
