基于物联网的博物馆展厅空气中有害气体监测模型分析研究

Analysis of Harmful Gas Monitoring Model in the Air in Museum Exhibition Hall Based on Internet of Things

准确监测空气中有害气体的研究前景广阔。当前采用的有害气体监测模型存在监测准确率较低、资源消耗较大等问题,为了解决这些问题提出了基于物联网的有害气体监测模型。随机选择6种不同类型的文物作为实验样本,对破坏这些文物的有害气体进行了详细分析,通过有害气体特征提取的方式得到博物馆展厅的有害气体特征,完成对博物馆展厅空气中有害气体的监测。实验结果表明,基于物联网的有害气体监测模型可以准确的监测出博物馆展厅中的有害气体。

The research on accurate monitoring of harmful gases in the air has broad prospects. The current harmful gas monitoring model has problems such as low monitoring accuracy and large resource consumption. In order to solve these problems, a harmful gas-monitoring model based on the Internet of Things is proposed. Six different types of cultural relics were randomly selected as experimental samples, and the harmful gases that destroyed these cultural relics were analyzed in detail. The harmful gas characteristics of the museum exhibition hall were obtained through the extraction of harmful gas characteristics, and the monitoring of harmful gases in the air of the museum exhibition hall was completed. The experimental results show that the harmful gas-monitoring model based on the Internet of Things can accurately detect harmful gases in the museum exhibition hall.