Real-time Monitoring System of Agricultural Machinery Operation Information Based on ARM It and GNSS

被引:8
|
作者
Xiang, M. [1 ]
Wei, S. [1 ]
Zhang, M. [1 ]
Li, M. Z. [1 ]
机构
[1] China Agr Univ, Key Lab Modern Precis Agr Syst Integrat Res, Minist Educ, Beijing, Peoples R China
来源
IFAC PAPERSONLINE | 2016年 / 49卷 / 16期
关键词
Precision agriculture; GNSS; Area measurement; Operation quality;
D O I
10.1016/j.ifacol.2016.10.023
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to measure the information of agricultural machinery working condition in real time, a monitoring system based on ARM11 and GNSS (Global Navigation Satellite System) was developed. The system includes three parts, including data receiving module, data processing module and UI (User Interface) screen display module. Furthermore, it not only can display and store the information such as the position coordinates, the boundary of operating area and the real-time working path, but also can calculate the area of the total field, the completed area, the operating speed and so on. This system was developed in Android environment, and Android's Canvas class was used to draw the total area of farmland, the real work area and the vehicle turning area with different colors. According to the color value of image pixels, detail information about the working vehicle can be calculated, such as the total area of farmland, operating area, skip area, overlap area and turning area out of the farmland. And then, the working accuracy can be analyzed further. Field experiments and analysis results shown that, while using Si Nan M300 GNSS receiver, the maximum measurement error of the field total area is 1.9% and the average error is 0.96% for rectangles and polygons farmland, the maximum measurement error is 3.6% and the average error is 1.88% for irregularly shaped field. The largest area measurement error is 3.3% and the average error is 1.1% at the real-time operating conditions. Therefore, the system could improve the efficiency of agricultural operations, facilitate the work to assess the quality and reduce the resource consumption. (C) 2016, IFAC (International Federation of Automatic (ontrol) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:121 / 126
页数:6
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