多传感器融合技术在加湿节能控制器中的应用  

The Application of Multi-sensor Data Fusion Technology in the Humidifier Energy-saving Controller System

作　　者：范长胜[1] 杨冬霞[2] 车琳[1] 

机构地区：[1]东北林业大学机电工程学院,黑龙江哈尔滨150040 [2]哈尔滨学院工学院,黑龙江哈尔滨150086

出　　处：《机电产品开发与创新》2011年第1期171-173,共3页Development & Innovation of Machinery & Electrical Products

基　　金：东北林业大学校级大学生创新项目支持

摘　　要：介绍了一种多传感器数据融合技术在加湿节能控制器系统中应用的方法。该方法首先采用分布图法剔除疏失误差,然后采用基于均值的分批估计的融合方法对采集的数据进行处理,提高了数据采集的精度,同时有效地消除了由于传感器失效引起的误差。这种数据融合方法计算简单,易于编程,可以获得比有限多个传感器的算术平均值更准确的测量结果,具有较高的可靠性,可以用于其它测量结果具有正态分布特性的多传感器测量系统。另外在对加湿节能控制器进行湿度控制时,同时考虑到了温度因素对人体舒适度的影响,所以在系统设计时,综合了温度与湿度两大因素来完成对加湿节能控制器的控制,使控制系统更加自动化、智能化。This paper presents an applied method of multi-sensor data fusion technology in the humidifier energy-saving controller system.First,the distributing diagram approach was used to eliminate the care less mistake data.And then,the data fusion method based on arithmetic mean and batch estimation has been used to filter the collected data to improve the precision of temperature collection and eliminate the errors caused by the sensor disability efficiently.The data fusion method is simple to calculate and easy to program.The measurement result is more accurate than by using arithmetic mean on the limited sensors.System has high reliability.The algorithm can be used in multi-sensor measuring systems with normal distribution.When controlling the humidity of humidifier energy-saving controller,taking into account the temperature factor on the impact of human comfort.Therefore,in the time of system design,combined the two factors of the temperature and the humidity to complete the humidification control.The control system is more automated and intelligent.

关 键 词：多传感器 数据融合 分布图法 疏失误差 分批估计 人体舒适度 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]