玉米果穗收获机虚拟收获设计与仿真试验

doi:10.13733/j.jcam.issn.20955553.2022.05.002

摘要/Abstract

摘要： 针对玉米收获装备在研发设计过程中存在研发周期长、成本高、易受环境因素影响且需要进行大量田间试验等缺陷，开展基于Unity3D的玉米果穗收获机虚拟仿真设计与收获试验。首先，完成玉米果穗收获机虚拟仿真系统的总体设计、虚拟仿真系统关键模块的设计以及玉米果穗收获机和植株的物理组件的设计。其次，以漏果率为响应指标，以玉米收获机行进速度、割台高度和玉米种植密度为响应因素进行虚拟的单因素试验和正交试验，得到影响玉米收获机漏果率的最优参数组合。当收获机行进速度为2.986 m/s，玉米种植密度为6.7棵/m2，割台高度为0.42 m，漏果率最低为2.17%。最后，利用最优参数开展田间验证试验。结果表明：玉米收获机漏果率均值为2.36%，与优化结果基本一致，满足玉米果穗收获机的收获要求。

关键词: 玉米果穗收获机, 虚拟现实, Unity3D, 3D Max

Abstract: In view of the problems facing the research and development process of corn harvesting equipment, such as long research and development cycle, high cost, high sensitivity to environmental factors, and the need for a large number of field tests, this paper carried out a virtual simulation design and harvest test of corn ear harvester based on Unity3D. Firstly, the overall design of the virtual simulation system of corn ear harvester, design of key modules of the virtual simulation system, and design of the physical components of corn ear harvester and the plant were completed. Secondly, optimal combination of parameters affecting yield loss rate of corn harvester was obtained by virtual single factor test and orthogonal test with yield loss rate of corn harvester as the response index and moving speed of corn harvester, height of cutting table, and planting density of corn as response factors. When the speed of harvester was 2.986 m/s, the planting density of corn was 6.7 plants/m2, the height of cutting table was 0.42 m, and the lowest fruit leakage rate was 2.17%. Finally, the field verification test was carried out using the optimal parameters. The results showed that the average leakage rate of corn harvester was 2.36 %, which was consistent with the optimization results and met the harvest requirements of corn ear harvester.

Key words: corn ear harvester, virtual reality, Unity3D, 3D Max

中图分类号:

S225.5+1

王建祥, 慈翠荣, 刘贤喜, 张开兴. 玉米果穗收获机虚拟收获设计与仿真试验[J]. 中国农机化学报, 2022, 43(5): 7-13.

Wang Jianxiang, Ci Cuirong, Liu Xianxi, Zhang Kaixing.. Virtual harvest design and simulation test of corn ear harvester[J]. Journal of Chinese Agricultural Mechanization, 2022, 43(5): 7-13.

参考文献

［1］方师乐, 黄祖辉. 新中国成立70年来我国农业机械化的阶段性演变与发展趋势［J］. 农业经济问题, 2019(10): 36-49.
Fang Shile, Huang Zuhui. 70th anniversary of the founding of the PRC: The transition, influence factor and trend of Chinas agricultural mechanization ［J］. Issues in Agricultural Economy, 2019(10): 36-49.
［2］李鹍鹏, 赵海, 侯献伟, 等. 山东省农业机械化发展形势分析与对策研究［J］. 中国农机化学报, 2018, 39(8): 97-100.
Li Kunpeng, Zhao Hai, Hou Xianwei, et al. Situation analysis and countermeasures research on the agricultural mechanization development in Shandong Province ［J］. Journal of Chinese Agricultural Mechanization, 2018, 39(8): 97-100.
［3］崔涛, 樊晨龙, 张东兴, 等. 玉米机械化收获技术研究进展分析［J］. 农业机械学报, 2019, 50(12): 1-13.
Cui Tao, Fan Chenlong, Zhang Dongxing, et al. Research progress of maize mechanized harvesting technology ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(12): 1-13.
［4］董莹莹, 赵星, 王纪华. 基于GPU的虚拟植物生长的双尺度自动机模型实现方法［J］. 农业工程学报, 2011, 27(5): 207-212.
Dong Yingying, Zhao Xing, Wang Jihua. Rendering plants with dualscale automaton model based on GPU ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(5): 207-212.
［5］李春晓, 孙瑞志, 戴佚舟, 等. 基于Unity3D的中国古代农耕虚拟场景智能展示平台［J］. 农业工程学报, 2017, 33(z1): 308-314.
Li Chunxiao, Sun Ruizhi, Dai Yizhou, et al. Intelligent exhibition platform of Chinese ancient farming virtual scene based on Unity 3D ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(zl): 308-314.
［6］程伯文, 郑一力, 黄青青, 等. 基于Unity3D的林木联合采育机虚拟训练系统研究［J］. 系统仿真学报, 2018, 30(4): 1310-1318.
Cheng Bowen, Zheng Yili, Huang Qingqing, et al. Forestry felling & cultivation machine virtual training system based on Unity3D ［J］. Journal of System Simulation, 2018, 30(4): 1310-1318.
［7］ Cheng C, Kang L, Cai S, et al. Virtual display and interactive experience platform of farming culture based on Unity3D ［J］. IFACPapersOnLine, 2018, 51(17):637-642.
［8］王菲. 基于虚拟现实的自走式农业机械试验方法研究［D］.北京: 中国农业大学, 2014.
Wang Fei. Research of selfpropelled agricultural machinery virtual experiment method based on virtual reality ［D］. Beijing: China Agricultural University, 2014.
［9］辛尚龙, 赵武云, 戴飞, 等. 旱区全膜双垄沟播履带式玉米联合收获机的设计［J］. 农业工程学报, 2019, 35(14): 1-11.
Xin Shanglong, Zhao Wuyun, Dai Fei, et al. Design of crawler type corn combine harvester for whole plastic film mulching on double ridges in arid regions ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(14): 1-11.
［10］ Bourhim T, Cherkaoui T A. Efficacy of virtual reality for studying peoples preevacuation behavior under fire ［J］. International Journal of HumanComputer Studies, 2020, 142: 102484.
［11］葛贝贝. 火力发电厂事故虚拟现实仿真及应急预案研究［D］. 哈尔滨: 哈尔滨工程大学, 2009.
Ge Beibei. Study on accident virtual reality simulation and contingency plans of thermal power plant ［D］. Harbin: Harbin Engineering University, 2009.
［12］陈亚龙. 基于图像的水稻害虫计数与识别的研究［D］. 赣州: 江西理工大学, 2019.
Chen Yalong. Study on rice pests counting and identification based on image ［D］. Ganzhou: Jiangxi University of Science and Technology, 2019.
［13］邹湘军, 罗锡文, 卢俊, 等. 虚拟环境下农业移动机器人行为及其仿真建模［J］. 系统仿真学报, 2006, 18(z2): 551-553, 562.
Zou Xiangjun, Luo Xiwen, Lu Jun, et al. Modeling for behavior and simulation of agriculture mobile robot in virtual environment ［J］. Journal of System Simulation, 2006, 18(z2): 551-553, 562.
［14］张明涛. 玉米摘穗装置的理论分析与仿真研究［D］. 咸阳: 西北农林科技大学, 2008.
Zhang Mingtao. Theoretic analysis & imitation research of corn snapping bars ［D］. Xianyang: Northwest A & F University, 2008.
［15］冯锋. Web环境下数据过滤方法研究［J］. 计算机与现代化, 2008(9): 6-9.
Feng Feng. Research on webbased information system data filtering method ［J］. Computer and Modernization, 2008(9): 6-9.
［16］陈燕, 曾泽钦, 王杰, 等. 收获机虚拟环境模型与仿真平台构建［J］. 农业机械学报, 2019, 50(7): 159-166.
Chen Yan, Zeng Zeqin, Wang Jie, et al. Virtual environment construction and simulation platform of harvesting machinery ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(7): 159-166.
［17］包伟. 玉米青贮打捆收获机关键部件设计［D］. 泰安. 山东农业大学, 2011.
Bao Wei. Design on critical components of corn stalk silage baling combine ［D］. Taian: Shandong Agricultural University, 2011.
［18］贺俊林, 佟金, 胡伟, 等. 辊型和作业速度对玉米果穗收获机摘穗性能的影响［J］. 农业机械学报, 2006, 37(3): 46-49.
He Junlin, Tong Jin, Hu Wei, et al. Influence of snapping roll type and harvesting speed on 4YW-Q corn harvester ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2006, 37(3): 46-49.
［19］陈进, 宁小波, 李耀明, 等. 联合收获机前进速度的模型参考模糊自适应控制系统［J］. 农业机械学报, 2014, 45(10): 86-91.
Chen Jin, Ning Xiaobo, Li Yaoming, et al. Fuzzy adaptive control system of forward speed for combine harvester based on model reference ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2014, 45(10): 86-91.

Virtual harvest design and simulation test of corn ear harvesterWang Jianxiang1, Ci Cuirong2, Liu Xianxi2, 3, Zhang Kaixing2
(1. Shandong Agriculture and Engineering University, Jinan, 250100, China;
2. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, 271018, China;
3. Shandong Province Agricultural Equipment Intelligent Engineering Laboratory, Taian, 271018, China)

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