煤矿瓦斯安全状况的决策预测研究

Study on Decision-making Prediction of Gas Safety in Coal Mine

设计利用最小二乘向量机建立瓦斯安全状态的评价模型。最小二乘向量机是科技领域最前沿、最科学的理论成果,并且这种算法能够在MATLAB环境中实现。在深入分析目前的现有煤矿安全监控系统的基础上,利用Visual Basic编程实现数据的读取与存储,并和MATLAB接口,利用多传感器信息融合算法通过MATLAB对实时数据的分析,实现瓦斯预警系统结构框架的设计。

The evaluation model of the design of the use of least squares support vector machine to establish gas safety state of least squares support vector machine is the most advanced. The field of science and technology, the scientific and theoretical results, this algorithm can be implemented in MATLAB environment. On the basis of in-depth analysis of the existing coal mine safety monitoring system on the implementation of reading and storing data by using Visual Basic programming, and MATLAB interface, using multi sensor fusion algorithm through MATLAB to real-time data analysis information. Design and implementation of framework of gas early warning system.