Research on accurate prediction of automobile exhaust data based on W-Gea algorithm
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.
万方数据
维普
