基于ZigBee技术与信息融合的煤矿安全监测系统设计

Design of coal mine safety monitoring system based on ZigBee and information fusion

针对煤矿生产作业环境和开采过程中的灾害危险因素,设计了基于Zig Bee技术与信息融合的煤矿安全监测系统。通过构建基于Zig Bee协议的无线传感器网络,实现对井下环境数据的采集、传输。论文根据系统的数据分析的具体需求,提出基于模糊贴近度和灰色关联度的两级数据融合模型,其中采用模糊贴近度算法作为一级数据融合,提取环境参数特征向量。二级数据融合利用灰色关联度算法对特征向量再次进行融合,通过对现场数据分析,结果表明该算法可以准确地判定矿井的安全状况,给出煤矿安全等级决策。

In view of the operation environment and disaster risk factors in coal mine production, coal mine safety monitoring system is designed based on ZigBee and information fusion. By building a wireless sensor network based on ZigBee protocol, the underground environment data is collected and transmitted. According to the requirements of system data fusion, a two - level data fusion model is proposed based on fuzzy nearness and grey correlation degree. The level one data fusion uses fuzzy nearness algorithm to extract the environment parameter feature vector. Level two data fusion uses grey correlation algorithm to fuse the feature vector again. According to filed data analysis, the algorithm can accurately determine the safety status of coal mine, and offer the coal mine safety level.