农机无人驾驶系统的构建及在耕种环节应用试验研究OA
Construction of Unmanned Driving System for Agricultural Machinery and its Application in Cultivation
为解决我国人口老龄化劳动力短缺问题,提升京郊农机智能化、自动化、无人化水平,实现农机自动动力换挡、机具提升、自动掉头,实现农机在农田行驶、作业、质量监测的全程无人化,本试验对无人作业示范区内的地块进行了数字化规划,并开展农机无人驾驶技术在耕整地及播种环节的可行性、关键控制模块研究,验证无人驾驶技术可行性及性能表现.试验表明:农机无人驾驶作业精度可控制在3 cm之内,与人工驾驶相比,无人驾驶拖拉机机车时间利用率提升约10%,减少油耗约3.5%;利用作业轨迹数据进行深入分析,有人作业覆盖率达94.38%,无人驾驶作业覆盖率达99.39%,无人驾驶进行作业土地利用效率达到最高;另外,在播种质量方面,无人驾驶作业后的播种粒距合格率为95%,漏播率为5%,符合精量播种机作业质量标准.
In order to solve the problem of aging population and labor shortage in China,improve the intelligence,automation and unmanned level of agricultural machinery in the suburbs of Beijing,realize the automatic power shift,machine lifting and automatic U-turn of agricultural machinery,and realize the unmanned whole process of agricultural machinery driving,operation and quality monitoring in farmland.In this experiment,the plots in the unmanned operation demonstration area were digitally planned,and the feasibility and key control modules of the unmanned agricultural machinery technology in the fields of ploughing and sowing were studied to verify the feasibility and performance of the unmanned technology.The test shows that the precision of driverless operation of agricultural machinery can be controlled within 3 cm.Compared with manual driving,the time utilization rate of driverless tractor locomotive is increased by about 10%and the fuel consumption is reduced by about 3.5%.Based on the in-depth analysis of the operation trajectory data,the coverage rate of manned operation is 94.38%,the coverage rate of unmanned operation is 99.39%,and the land use efficiency of unmanned operation is the highest.In addition,in terms of sowing quality,the qualified rate of seed spacing after unmanned operation is 95%,and the missed sowing rate is 5%,which meets the operation quality standard of precision planter.
刘婞韬;徐岚俊;张传帅;陈华;李传友;吴才聪
北京市农业机械试验鉴定推广站,北京 100079中国农业大学信息与电气工程学院,北京 100083
农业工程
农机无人驾驶农机智能化无人化作业农机无人作业
agricultural machinery driverlessintelligent agricultural machineryunmanned operationunmanned operation of agricultural machinery
《现代农业装备》 2024 (002)
21-28,44 / 9
北京市科技支撑乡村产业振兴项目基金(Z201100008020008)
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