中文摘要：

为克服以往单一传感器对煤矿井下气体环境和通风量等与煤矿安全密切相关元素诊断不精确和不完整的缺点,提出利用自适应加权数据融合算法和改进的D-S证据理论;同时借助多个传感器采集的源信息,对煤矿井下包括瓦斯含量、氧气含量、风速在内的气体环境进行检测。实际应用结果表明,该方法增强了煤矿井下气体环境检测的精确度和可靠性。

英文摘要：

In order to overcome the disadvantages of the previous single sensor for coal mine gas environment and ventilation which is related to the safety of the coal mine and its diagnosis is imprecise and incomplete. Presents the adaptive weighted data fusion algorithm and the improved D-S evidence theory; In the meantime, with multiple sensors to collect the source of information in order to improve the accuracy and reliability of the coal mine gas environment detection. The practical results show that, this solution enhances accuracy and reliability of the coal mine gas environment detection.