敏感性红外传感器对瓦斯隧道有害气体含量预测分析

Study on prediction technology of harmful gas content in gas tunnel by sensitive infrared sensor

针对以往使用的基于质量传感器有害气体含量预测技术,过分依赖传感器敏感性,导致有害气体含量预测精准度较低的问题,提出了基于敏感性红外传感器的有害气体含量预测技术。以铜黄高速焦坪隧道为研究对象,提取瓦斯隧道有害气体特征,构建有害气体含量提取与映射模型。依据该模型采集数据并进行降维处理后,计算特征向量相似度,由此识别各种混合气体。通过炸药的氧平衡、成分、性能和变质情况,分析有害气体产生机理。布设敏感性红外传感器,采集气体数据并进行预处理,结合映射模拟技术完成有害气体含量预测。由实验结果可知,该技术只有在风速为0.8 m/s时,出现0.1 mg/m~3的误差,其余均与实际测量结果一致,说明该技术预测结果精准。

Aiming at the problem that the prediction accuracy of harmful gas content is low due to the excessive dependence on sensor sensitivity of the previously used prediction technology of harmful gas content based on quality sensor,a prediction technology of harmful gas content based on sensitive infrared sensor is proposed.Taking Jiaoping Tunnel of Tonghuang Expressway as the research object,the characteristics of harmful gas in gas tunnel are extracted,and the extraction and mapping model of harmful gas content is constructed.According to the model,the data are collected and the dimension is reduced.The similarity of feature vectors is calculated to identify various mixed gases.Through the oxygen balance,composition,performance and deterioration of explosives,the generation mechanism of harmful gases is analyzed.The sensitive infrared sensors are deployed,the gas data are collected and preprocessed,and the hazardous gas content is predicted by combining the mapping simulation technology.It can be seen from the experimental results that only when the wind speed is 0.8 m/s,the error of 0.1 mg/m3 appears in this technology,and the rest are consistent with the actual measurement results,indicating that the prediction results of this technology are accurate.