Shanxi Huayang Group Xinneng Co., Ltd., No.2 Mine

为解决瓦斯灾害难题，基于多源数据融合技术，建立多传感器的改进粒子群神经网络预测模型，设计出安全有效的系统软硬件，并将该系统应用于华阳二矿32212工作面。通过实时监测，以动态显示结果为基础，在整个预报过程中，预报值与真实值的差异较小，预测预警分析的结果是有效的。

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..