摘要
设计了基于传感器阵列,以STM32单片机为微处理器的污水管道有害气体检测装置。并通过对最小二乘回归、高斯过程回归、支持向量回归三种定量分析回归算法的比较,针对不同的有害气体,分别选择精度较高的分析算法。该检测装置实现了对有害气体的高精度定量检测,且浓度识别误差控制在±0.6百万分比浓度范围内。
A sewage pipeline harmful gas detecting device is designed based on sensor array and STM32 micro-coutroller unit(MCU) as microprocessor.By comparing three algorithms,such as least-squares regression,Gaussian process regression,and support vector regression algorithms,high-accuracy analysis algorithm is selected for different harmful gases.The detecting device achieves high-precision quantitative detection on harmful gases,and the concentration recognition error is controlled within a range of ±0.6 parts per million.
作者
王秋硕
谢涛
孟祥森
矫鲁平
苏维均
WANG Qiushuo;XIE Tao;MENG Xiangsen;JIAO Luping;SU Weijun(School of Computer and Information Engineering,Beijing Technology and Business University,Beijing 100048, China;Yantai Product Quality Supervision and Inspection Institute, Yantai 264003 ,China)
出处
《传感器与微系统》
CSCD
2019年第10期110-113,117,共5页
Transducer and Microsystem Technologies
基金
北京市教委科技创新平台项目(PXM2018_014213_000033)
关键词
污水管道气体
气体传感器阵列
浓度检测
回归分析
sewage pipe gas
gas sensor array
concentration detection
regression analysis
