摘要
通过MARWIS移动式道路气象仪,根据日常道路监测经验,制定路面温湿度数据采集方案。根据不同的采集方案,将收集到的数据进行整理,绘制趋势图,比对分析道路温湿度影响因子的种类;使用STATA软件对路面温湿度数据进行相关性分析,使用线性回归法对温湿度数据进行线性分析,通过线性分析寻找更多的道路温湿度影响因子;根据分析结果,对道路温湿度监测方案进行优化。
Through MARWIS mobile road meteorological instrument,according to the daily road monitoring experience,the pavement temperature and humidity data acquisition program was developed. According to different collection schemes,the collected data are sorted out,the trend chart is drawn,and the types of influencing factors of road temperature and humidity are compared and analyzed. STATA software was used to conduct correlation analysis of road temperature and humidity data,and linear regression method was used to conduct linear analysis of temperature and humidity data,so as to find more influencing factors of road temperature and humidity through linear analysis. According to the analysis results,the road temperature and humidity monitoring scheme is optimized.
作者
冯洋
王晓燕
FENG Yang;WANG Xiao-yan
出处
《智能城市》
2019年第19期56-58,共3页
Intelligent City
关键词
MAR
WIS移动式道路气象仪
比对分析
相关性分析
线性回归法
MARWIS mobile road meteorological instrument
comparative analysis
correlation analysis
linear regression method
