井下通风系统中神经网络信息融合技术的应用

Application of neural network information fusion technology in underground ventilation system

为了改进原通风系统的性能,煤矿企业采用多传感器信息融合技术与PLC技术相融合的方法,对异类传感器进行二次升级,以确定矿井作业环境的安全情况。经过实践考察,中神经网络信息融合技术可以很好的控制井下通风系统,提高系统的可靠性。

In order to improve the performance of the original ventilation system, using multi-sensor information fusion technology of coal mining enterprises and the integration of PLC technology, the method of quadratic upgrade for heterogeneous sensor, to determine the safety of the mine operation environment.After practice, can very good control neural network information fusion technology in underground ventilation system, improve the reliability of the system.