上海交通大学学报

上海交通大学学报（自然版）

• 自动化技术、计算机技术 • 上一篇    下一篇

工程机械远程监控BS-PLOT混合数据压缩

李彦明，吕会娟，苑进，刘成良   

  1. （上海交通大学 机械与动力工程学院， 上海 200240）
  • 收稿日期:2009-07-03 修回日期:1900-01-01 出版日期:2010-07-28 发布日期:2010-07-28

Hybrid Data Compression Algorithm Based on BS-PLOT for Remote Monitoring of Construction Machinery

LI Yanming,L Huijuan,YUAN Jin，LIU Chengliang   

  1. (School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2009-07-03 Revised:1900-01-01 Online:2010-07-28 Published:2010-07-28

摘要： 针对工程机械远程监控系统中状态信息的特点，提出了基于后向斜率(BS)法和分段线性在线趋势 (PLOT)的混合数据压缩算法.在最大时间间隔内，采用BS方法判断数据的稳定性，然后利用PLOT方法分段压缩波动数据.在充分考虑了数据的时间属性和噪声环境下进行了野点数据的检测与剔除.实例应用表明，该算法提高了数据压缩率和传输速度，并具有较好的抗干扰性.

关键词: 远程监控, 　数据压缩, 　分段线性在线趋势算法, 　时间属性

Abstract: According to the condition signal’s feature, this paper proposed a hybrid data compression algorithm based on the backward scope (BS) and piecewise linear online trending (PLOT) algorithm. Within the maximum time limit, the algorithm uses BS to estimate the data stabilization, then adopts PLOT to compress the fluctuant data, considering the time attribute of data and the detection of outliers in noisy environment. This method was applied to the remote monitoring system for tower crane. The result indicates that the proposed method with antidisturbance property can improve the compression efficiency and transmission efficiency.

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