计算机与现代化Issue(2)：138-141,4.DOI:10.3969/j.issn.1006-2475.2014.02.032
基于多传感器数据融合的煤矿安全状态评估
Assessment of Coal Mine Safety State Based on Multi-sensor Data Fusion
摘要
Abstract
In order to protect the safety of the coal mine workers and reduce economic losses , an assessment method for coal mine safety status based on multi-sensor data fusion was proposed .The data from sensors of gas concentration , temperature , wind speed, carbon monoxide , dust and others from the underground was first handled , the batch estimate pretreatment methods based on the average value were used to get the first level fusion result , and then the D-S evidence theory was used to eliminate the un-certainty in the assessment and improve the accuracy .At last, a specific case was used to verify the feasibility of the proposed method.The result shows that the assessment method is of a high degree of accuracy , and it can provide decision support for the assessment and judgment of the state of coal mine safety .关键词
传感器/数据融合/瓦斯浓度/分批估计/D-S证据理论Key words
sensor/data fusion/gas concentration/batch estimation/D-S evidence theory分类
信息技术与安全科学引用本文复制引用
熊博杰,周华平..基于多传感器数据融合的煤矿安全状态评估[J].计算机与现代化,2014,(2):138-141,4.基金项目
国家自然科学基金资助项目（51174257）；安徽高校省级自然科学研究重点项目 （）
