基于D-S证据理论的数据融合井下监测方法分析  

Analysis of underground monitor method based on D-S decision-making data fusion

作　　者：付华[1] 李博[1] 薛永存[1] 

机构地区：[1]辽宁工程技术大学电气工程系,辽宁阜新123000

出　　处：《传感器与微系统》2007年第1期27-29,共3页Transducer and Microsystem Technologies

基　　金：辽宁省自然科学基金资助项目(2051206)

摘　　要：针对矿井单传感器监测系统监测数据单一、不确定性较高的缺陷,利用基于D-S证据理论的多传感器信息融合技术,在对原始数据分析处理的基础上,把多种参数通过数据融合模块实现对井下工作环境安全性的评估、决策。同时,可根据各参数间的相关性获得更多单传感器监测系统所无法获得的井下环境信息,极大地提高了数据采集的可靠性、全面性和矿井监测系统的有效性。Aiming at the single sensor monitor system data＇ s defect of uncertainty and insufficiency, the multisensor＇ s information fusion technology based on D-S decision-making is used to resolve this problem. It can be used to analysis processing monitor＇ s data and evaluate the safety of underground working conditions by data fusion module. At the same time, based on every paramete＇ s correlation measure it can. get more information which couldn＇ t be got by single sensor monitor system. This method makes the data acquisition more credibility and more comprehensive and increases the monitor system＇ s validity.

关 键 词：多传感器 数据融合 D-S证据决策 相关度 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]