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丘陵山区农机深松作业深度和面积远程监测系统

A Remote Monitoring System for Depth and Area of Agricultural Machinery Subsoiling in Hilly Regions

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【作者】 赵世卿吴永峰李光林谢菊芳

【Author】 ZHAO Shi-qing;WU Yong-feng;LI Guang-lin;XIE Ju-fang;School of Engineering and Technology,Southwest University;

【通讯作者】 李光林;

【机构】 西南大学工程技术学院

【摘要】 为了提高农机在丘陵山区深松作业深度和面积的监测准确性,研究设计了一种深松作业远程监测系统.该系统以角位移传感器间接测量作业深度,利用北斗/GPS定位数据计算深松面积,并在此基础上搭建了基于·NET分布式深松作业远程监测服务平台,实现多台农机深松作业深度和面积的远程监控,为政府补贴资金计算与核实提供了便利,提高了深松作业监测效率.试验结果表明,使用角位移传感器适用于丘陵山区农机深松作业深度测量,深度测量平均误差为0.98cm,使用北斗/GPS定位基于多边形解析法计算小地块面积相对误差为3.2%,满足丘陵山区农机深松作业监测要求.

【Abstract】 In order to improve the accuracy of monitoring the depth and area of agricultural machinery in hilly/mountainous regions,a remote monitoring system for deep loosening operations has been designed.The system uses the angular displacement sensor to indirectly measure the depth and the Beidou/GPS positioning data to calculate the subsoiled area.Based on these data,a remote distributed monitoring system based on·NET is built.A measuring service platform is used to realize the remote monitoring of the depth and area of the deep loosening operation of the agricultural machinery,thus making more convenient the calculation and verification of government subsidized funds and improving the efficiency of operation monitoring.The results of an experiment show that the use of angular displacement sensors is suitable for depth measurement of agricultural machinery in hilly and mountainous regions.The average error of depth is0.98 cm.Using Beidou/GPS positioning based on the polygon analysis method,the area error of small plots is 3.2%,which meets the monitoring requirements of agricultural machinery subsoiling in hilly regions.

【基金】 重庆市科委项目(cstc2016shmszx80018)
  • 【文献出处】 西南大学学报(自然科学版) ,Journal of Southwest University(Natural Science Edition) , 编辑部邮箱 ,2018年12期
  • 【分类号】S222
  • 【被引频次】4
  • 【下载频次】202
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