基于W-Gea算法的汽车尾气数据精准预测研究

Research on accurate prediction of automobile exhaust data based on W-Gea algorithm

随着我国人民生活水平和汽车制造技术水平的快速提升,社会汽车保有量迅速增长,然而汽车排放的有害物质(CO、HC、NO)引发的城市大气污染问题也日益严重。目前,遥感检测技术在检测汽车尾气含量时容易受到天气影响,导致取样数据不准确等问题,给汽车监管部门的精准执法带来了较大困难。文章利用遥感检测仪对汽车尾气数据进行采集,研究了精准预测汽车排放有害物质(CO、HC、NO)数据的方案,提出了W-Gea算法,实现了对汽车尾气数据的精准预测。

With the continuous improvement of people’s living standard and the rapid improvement of automobile manufacturing technology in China,the number of vehicles in the society has grown rapidly,but the urban air pollution problem caused by harmful substances(CO,HC,NO)emitted by vehicles is also becoming more and more serious.At present,remote sensing detection technology is easy to be affected by weather when detecting automobile exhaust content,resulting in inaccurate sampling data and other problems,which brings great difficulties to accurate law enforcement by automobile regulators.In this paper,the remote sensing detector is used to collect the vehicle exhaust data,and the accurate prediction scheme of the vehicle emission harmful substances(CO,HC,NO)is studied,and the W-Gea algorithm is proposed to realize the accurate prediction of the vehicle exhaust data.