Abstract： In order to solve the problem of gas disaster, based on multi-source data fusion technology, an improved particle swarm neural network prediction model of multi-sensor is established, and a safe and effective system software and hardware are designed. The system is applied to the 32212 working face of Huayang No.2 Mine. Through real-time monitoring, based on the results of dynamic display, the experimental results show that the difference between the predicted value and the real value is small in the whole forecasting process, and the results of prediction and early warning analysis are effective.
刘小宇. 基于多源数据融合的瓦斯安全系统研究与应用[J]. 煤炭与化工, 2024, 47(1): 120-122，126..
Liu Xiaoyu. Research and application of gas safety system based on multi-source data fusion. CCI, 2024, 47(1): 120-122，126..
