Research of Risk Assessment System for Environment Information in Coal Mine Underground Based on MSF
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摘要: 文章结合煤矿井下环境信息的特征,介绍了一种基于多传感器信息融合(MSF)的煤矿井下环境信息危险评价系统。该系统建立了用于煤矿井下环境信息危险预测的3层误差反向传播神经网络模型,并采用神经网络信息融合算法对样本数据进行了分析和处理。仿真结果表明,该系统能够比较准确地评价煤矿井下环境危险的程度,且具有较好的鲁棒性和泛化能力。Abstract: Combined with characteristics of environment information in coal mine underground,the paper introduced a risk assessment system of environment information in coal mine underground based on multi-sensor information fusion(MSF).The system establishes model of three-layer error back propagation neural network used in risk prediction of environment information in coal mine underground and adopts information fusion algorithm of neural network to analyze and treat sample data.The simulation results showed that the system can assess risk degree of environment information in coal mine underground more accurately and has better robustness and generalization ability.
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