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Position: Home > Articles > Management System for Mechanized Straw Returning Based on BDS Transactions of the Chinese Society for Agricultural Machinery 2016,47 (1) 23-28

基于北斗卫星导航的秸秆机械化还田作业管理系统

作  者:
隋铭明;沈飞;徐爱国;丁双文
单  位:
南京林业大学土木工程学院;江苏北斗卫星应用产业研究院
关键词:
精准农业;秸秆还田;北斗卫星导航系统;信息系统
摘  要:
为满足秸秆机械化还田作业精准化管理的需要,解决还田工作中作业面积统计困难、现场核查工作量大、全局管理难以实现等若干现实问题,设计了基于北斗卫星导航的秸秆机械化还田作业精准管理系统。系统集成北斗卫星导航定位、物联网、地理信息系统等信息技术,通过北斗卫星导航农业机械车载信息终端,实时采集、处理秸秆还田作业中的定位和状态数据,获取还田现场的高清影像。通过建立作业管理信息系统,实现作业监控、地块识别、面积量测、质量评估、指标统计和指挥调度等功能。试验结果表明,系统可以有效实现轨迹监控、灵活调度、分类统计分析,提高了秸秆还田机械化作业效率。同时,地块识别率和地块面积统计达到了作业精度要求,可以满足秸秆机械化还田作业的需要。
译  名:
Management System for Mechanized Straw Returning Based on BDS
作  者:
Sui Mingming;Shen Fei;Xu Aiguo;Ding Shuangwen;College of Civil Engineering,Nanjing Forestry University;Jiangsu BDS Application Industry Institute;
关键词:
precision agriculture;;straw returning;;Beidou satellite navigation and positioning system;;information system
摘  要:
In order to meet the demand of precise management on mechanization of straw returning to field operations,the difficulties were solved as follows: firstly,the area statistics of each landblock is hard. Secondly,the on-site verification needs a lot of people as well as lots of time. Finally,the manage department can not get the present situation on time. Therefore,it is in great demand to establish the precision management system for mechanized straw returning. The system integrated the Beidou satellite navigation and positioning system( BDS),the internet of things,geographic information systems and other new generation information technologies. The work carried out two parts. One part, the vehicle positioning terminal based on Beidou was established for agricultural machinery,which can real-time acquisite,and process the location and status data of agricultural machinery. The other part,the precision management system for mechanized straw returning was developed and implemented by using several functions including operation monitoring,landblock identification,area measurement,quality evaluation,index statistics and dispatching function,etc. The test results show that it can effectively control agricultural machinery operation trajectory,flexible scheduling, real time implementation of classified statistics and analysis,improve the efficiency of management of the returning operation. At the same time,the results reached the working precision in landblock identification and landblock area statistic,which can satisfy the demand of mechanization from straw to field operations.

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