降采算法在煤矿安全监控系统数据可视化中的应用  

Application of Downsampling Algorithm in Data Visualization of Coal Mine Safety Monitoring and Control System

作　　者：卞恺 Bian Kai(Tiandi(Changzhou)Automation Co.,Ltd.,Changzhou 213015,China)

机构地区：[1]天地(常州)自动化股份有限公司,江苏常州213015

出　　处：《煤矿机械》2023年第3期210-212,共3页Coal Mine Machinery

摘　　要：为了解决大型煤矿安全监控系统移动平台传感器历史数据曲线显示功能运行效率不高及可视化效果不够直观的问题,提出了一种基于最大三角形单桶(LTOB)降采算法的数据可视化运算过程改进方案。该方案能较好地保留原始数据可视化特征,同时提高了传感器密采曲线的视觉直观性,有效降低了曲线显示功能模块的网络资源占用及CPU运算资源消耗,提高了煤矿安全监控系统的运行效率和用户体验。In order to solve the problems of low operation efficiency and unnoticeable visual effect of the mobile platform of large coal mine safety monitoring and control system in the display function of sensor historical data curve,an improved scheme of data visualization operation process based on largest-triangle-one-bucket(LTOB)downsampling algorithm was proposed.The scheme can better retain the visual characteristics of the original data,improve the visual intuition of the sensor dense mining curve,effectively reduce the network resource occupation and CPU operation resource consumption of the curve display function module,and improve the operation efficiency and user experience of the coal mine safety monitoring and control system.

关 键 词：安全监控系统 降采算法 可视化 大数据 

分 类 号：TD655[矿业工程—矿山机电]