农业机械导航技术研究进展
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国家重点研发计划项目(2017YFD0700400-2017YFD0700403)和国家自然科学基金项目(31571570)


Research Progress of Agricultural Machinery Navigation Technology
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    摘要:

    农业机械自动导航技术是实施精细农业的基础,可有效减轻农机操作人员的劳动强度,提高作业精度与作业效率。经典的农机自动导航关键技术包括定位测姿、路径规划和运动控制,针对这3项关键技术,分别阐述了基于全球导航卫星系统、惯性导航系统、机器视觉导航系统及多传感器信息融合的农机定位测姿方法,总结归纳了农机自动导航系统中的全局路径与局部路径规划算法,以及农机的运动学模型、导航决策控制方法、转向制动控制系统。随着信息技术的发展,农机智能导航技术受到越来越多的关注,保证作业安全与提高作业效率成为农机智能导航不同于传统自动导航的关键技术。以激光雷达和RGB相机为例综述了农机自主避障技术,并从协同导航模式、通信技术、协同控制、远程监控平台等角度阐明了多农机协同作业的关键技术。最后,结合无人农场和智慧农业对农机智能导航技术未来的发展方向进行了展望。

    Abstract:

    The automatic navigation technology of agricultural machinery is the basis for the implementation of precision agriculture, which can effectively reduce the labor intensity of agricultural machinery operators, improve the operation accuracy and efficiency. The classic automatic navigation of agricultural machinery includes three key technologies: positioning and attitude measurement, path planning and motion control. Based on the global navigation satellite system, the inertial navigation system, the machine vision navigation system and the multisensor data fusion algorithms, the methods of agricultural machinery positioning and attitude measurement were introduced firstly, and then the global path and local path planning algorithms in the agricultural machinery automatic navigation system were summarized, and the kinematic models, control methods and actuators for steering and braking were analyzed on agricultural machinery. With the development of information technology, the intelligent navigation technology of agricultural machinery had attracted more and more attention. Ensuring the safety of operation and improving the efficiency of cooperation were the key technologies of intelligent navigation of agricultural machinery different from traditional automatic navigation. LiDAR and RGB camera were taking as examples, the autonomous obstacle avoidance technology of agricultural machinery was analyzed, and the cooperative operation technology of multiple agricultural machinery was expounded, including cooperative mode, the perspectives of communication technology, cooperative controlling and remote management platform respectively. Finally, the future development direction of intelligent navigation technology for agricultural machinery was prospected with the specific example of “Hands Free Hectare” and smart agriculture.

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张漫,季宇寒,李世超,曹如月,徐弘祯,张振乾.农业机械导航技术研究进展[J].农业机械学报,2020,51(4):1-18. ZHANG Man, JI Yuhan, LI Shichao, CAO Ruyue, XU Hongzhen, ZHANG Zhenqian. Research Progress of Agricultural Machinery Navigation Technology[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(4):1-18

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  • 收稿日期:2020-02-19
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  • 在线发布日期: 2020-04-10
  • 出版日期: 2020-04-10