摘要
为解决便携式室内环保监控仪在信息处理中的不确定性问题,提出一种改进的基于D-S证据理论的多传感器数据融合算法及融合结果的目标判定原则。该算法和判定原则以室内空气监测数据为研究对象,对室内空气质量进行等级评估,并根据评估结果控制室内环保监控仪动作。试验表明,改进的D-S证据理论的数据融合算法和判定结果是正确的,以此构造的智能室内环保监控系统具有可靠性高、鲁棒性好的优点。
The purpose of the improved multi-sensor data fusion algorithm based on D-S evidence theory and criterion of the object evaluation is to solve the uncertainty problem of information processing in the portable indoor air monitoring and control system.Indoor air quality rating and evaluation are based on the researches from the data collected from indoor and the rating and evaluation results will trigger the activities of the Monitor.The experiment shows that the improved data fusion algorithm based on the D-S reasoning and the resulting evaluations are correct.The performances of the intelligent monitoring and control system of indoor environmental protection are reliable.The robust of the system is good.
出处
《振动．测试与诊断》
EI
CSCD
2008年第1期58-61,共4页
Journal of Vibration,Measurement & Diagnosis
基金
陕西省自然科学基金资助项目(编号:05JK259)
关键词
D-S理论
数据融合
室内空气质量
室内环保监控仪
评估
算法
dempster-shafer evidence reasoning data fusion indoor air quality indoor environmental monitoring and control evaluation algorithm
