CAJ | 학술논문

煤矿瓦斯监测中，利用D-S证据合成方法实现多传感器信息融合可以提高系统整体决策和预警能力。根据煤矿安全规范设定区域危险等级，使用云模型建立危险等级属性隶属度曲线簇，输入传感器检测量提取各属性隶属度作为D-S融合的基本概率赋值。为了实现高度冲突证据合成，提出D-S与加权平均法混合的分步证据合成算法。仿真结果表明文中提出的算法合成高度冲突证据时，具有令人满意的收敛效果。
매광와사감측중，이용D-S증거합성방법실현다전감기신식융합가이제고계통정체결책화예경능력。근거매광안전규범설정구역위험등급，사용운모형건립위험등급속성대속도곡선족，수입전감기검측량제취각속성대속도작위D-S융합적기본개솔부치。위료실현고도충돌증거합성，제출D-S여가권평균법혼합적분보증거합성산법。방진결과표명문중제출적산법합성고도충돌증거시，구유령인만의적수렴효과。
D-S evidence combination can improve overall decision and early warning capability in coal mine gas monitoring system. In this study, the danger levels of local region in coal mine are defined according to coal mine safety specification. Cloud model is used for generating the curve clusters of the membership degrees corresponding to the danger levels. The membership degrees extracted from the curve clusters are regarded as basic probability assignment for D-S evidence combination. The study puts forward a step-by-step combination algorithm mixing D-S method and the weighted average method for severe conflicting evidence combination. The simulation results show that the proposed algorithm has satisfactory convergence effect on severe conflicting evidence combination.