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各行业领域对于煤炭资源的需求均是极为显著的。在煤矿矿井作业实践当中,由于大量煤矿的开采作业不够规范,使得在煤矿生产实践当中出现极为频繁的安全事故,由此所带来的财产、以及生命损失均是不可预估的。本文依据这一实际情况,旨在于构建一套能够应用于煤矿环境探测以及危险评估的系统装置,当中主要涉及到了对多传感器信息融合的应用,同时在煤矿环境危险评估当中引入了粗集-神经网络的评估方法,望能够在后续实践工作中加以应用与发展。
The demand for coal resources in various industries is extremely significant. In coal mine operation practice, because a large number of coal mining operations are not standardized, making the occurrence of extremely frequent accidents in the production of coal mines, the resulting property, and loss of life are unpredictable. Based on the actual situation, this paper aims to build a set of system devices that can be applied to the detection and hazard assessment of coal mine environment, which mainly involves the application of multi-sensor information fusion. At the same time, the rough set-nerve Network assessment methods, hope can be applied in the follow-up practice and development.