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作 者:刘菜龙 Liu Cailong(Lianyungang Qiantong Automotive Inspection Co.,Ltd.,Lianyungang 222000,China)
机构地区:[1]连云港市乾通汽车检测有限公司,江苏连云港222000
出 处:《汽车知识》2025年第4期251-253,共3页AUTOMOTIVE KNOWLEDGE
摘 要:随着汽车保有量的迅猛增长,汽车尾气污染成为威胁环境与公众健康的突出问题,传统固定检测站难以满足动态且精准的尾气监管需求。基于此,本研究设计基于物联网的移动式汽车尾气检测系统,该系统融合先进的传感器技术,能够实时、准确地采集汽车尾气中的CO、HC、NOx、PM等关键污染物数据。试验结果表明,CO、HC、NOx和PM等污染物,在不同道路类型下各项误差指标(平均误差和最大误差)都相对较小,表明相关监测或测量手段在一定程度上具有较高的准确性和稳定性,污染物检测精度远超传统手段。With the rapid growth of automobile ownership, automobile exhaust pollution has become a prominent problem that threatens the environment and public health, and the traditional fixed testing stations can hardly meet the demand for dynamic and accurate exhaust monitoring. Based on this, this study designs a mobile vehicle exhaust detection system based on the Internet of Things(IoT), which integrates advanced sensor technologies and can accurately collect key pollutant data such as CO, HC, NOx, PM and other pollutants in the vehicle exhaust in real time. The test results show that the pollutants, such as CO, HC, NOx and PM, have relatively small error indicators(average error and maximum error) under different road types, indicating that the relevant monitoring or measurement means have high accuracy and stability to a certain extent, and the pollutant detection accuracy is far more than that of the traditional means.
分 类 号:U491.92[交通运输工程—交通运输规划与管理] X734.2[交通运输工程—道路与铁道工程]
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