数据融合技术在消防车检测系统中的研究  

Research on data fusion in fire truck dectection system

作　　者：王冠凌[1] 凌有铸[1] 于世海[1] 陈曦[1] 

机构地区：[1]安徽工程科技学院安徽省电气传动与控制重点实验室,安徽芜湖241000

出　　处：《自动化与仪器仪表》2008年第2期82-84,共3页Automation & Instrumentation

基　　金：安徽省教育厅重点项目:2KJ2008A01ZC

摘　　要：文中主要研究消防车检测系统中温度工作状态参数,给出了基于DSP TMS320LF2407为核心的硬件构成,提出了基于多传感器数据检测与数据融合技术的温度采集方法。在多传感器采集数据基础上,采用分布图法去除疏失误差,同时采用自适应加权数据融合算法的方法对采集的数据进行融合。实测表明,采用这种方法可以提高温度采集的精度,同时有效地解决了由于传感器失效引起的误差和单点采集温度的不足。有效地保证了消防车检测系统的实时性和准确性。有一定良好的应用前景。The main research of this paper was temperature working state parameter in fire truck detection system.We provided hardware architecture based on DSP,and its core was TMS320LF2407.We put forward a temperature collection method based on data detection and data fusion technology.On the basis of multi-sensor collecting data,we adopt distribution diagram method to wiping off the careless error at the same time.Also collected data fusion is performed by adaptive weighted.Test results indicate that the accuracy of the collected data is improved by this method.And we solve the error caused by the failure of sensor and deficiency collected temperature data by single point.The real-time and accuracy of Fire mack are guaranteed effectively.And there is a good application prospect.

关 键 词：温度 DSP 多传感器 数据融合 加权因子 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]