D-S证据理论在煤矿水害预测中的应用

The Application of D-S Evidence Theory in Coal Mine Flood Prediction

针对煤矿井下水灾、水害形成原因的复杂性和不确定性,应用多源数据融和技术,探讨D-S证据理论对多传感器目标识别的不精确推理方法,即通过对一些事件的概率加以约束以建立信任函数而不必究其精确关系,应用D-S证据理论将多传感器所采集到数据进行融合,并根据一定的决策规则,判断出影响煤矿井下的安全状态因子,给出煤矿井下突(透)水预测的评价模型。

Aiming at the complexity and uncertainty of coal mine flood formation reasons, this paper discussed the imprecise reasoning method of D-S evidence theory for multi-sensor target recogmition by applying multi-source data integration technology. Through constraining the probability of a number of events to built confidence function and neglecting their exact relationship, D-S evidence theory was used to integrate the data collocted by multi-sensor and, in accordance with certain decision-making rules,judge the state factors affocting coal mine salty and propose the evaluation model for the prodiction of coal mine water burst.