微型电脑应用2023，Vol.39Issue(11)：91-94,4.
基于数值分析的电力基坑气体分布检测分析
Detection and Analysis of Gas Distribution in Electric Power Foundation Pit Based on Numerical Analysis
李强 1张峰 2宋晓燕 1韩菲 3梁纲1
作者信息
- 1. 国网河南省电力公司电力科学研究院,河南,郑州 450002
- 2. 河南九域博大科技有限公司,河南,郑州 450002
- 3. 河南九域恩湃电力技术有限公司,河南,郑州 450002
- 折叠
摘要
Abstract
The harmful gas leakage often occurs during the construction of power foundation pit projects.In order to detect the gas distribution inside the foundation pit,unmanned detection devices,image acquisition equipment and sensor arrays are de-signed in the system,and infrared absorption detection technology is adopted.The hydrogen sulfide gas sensor is used to quan-titatively analyze the hydrogen sulfide gas in the foundation pit.The sensor adopts dual-channel detection technology to improve the gas measurement accuracy.The system uses convolutional neural network to build a gas recognition model,uses principal component analysis method for multivariate statistical detection,and extracts more feature information through random area pooling method.The experimental results show that the system can detect methane gas with a volume fraction of 12.5％,and the identification accuracy of the mixed gas is 97.2％.关键词
电力基坑/气体分布检测/红外吸收检测/气体传感器/主成分分析/随机区域池化Key words
power foundation pit/gas distribution detection/infrared absorption detection/gas sensor/principal component analysis/pooling of random regions分类
信息技术与安全科学引用本文复制引用
李强,张峰,宋晓燕,韩菲,梁纲..基于数值分析的电力基坑气体分布检测分析[J].微型电脑应用,2023,39(11):91-94,4.
