Exploration of Road Quality Evaluation Based on IoT Detection of Asphalt Pavement Raw Materials
Quality inspection of asphalt pavement has always been the focus of pavement engineering.Since asphalt pavement involves a va-riety of raw material parameters,while the construction process and technology is complex,it is hard to control the consistency of pavement quality or to reveal its quality control mechanism.This paper firstly analyzed the key parameters of raw materials that affect the quality of pavement entities.Then the Internet of Things technology is used to build the asphalt pavement inspection platform.Finally,the paper se-lected IRI of pavement entity quality as the target variable,and applied support vector machine method to Lin'an Jiande section of Linjin Ex-pressway to build a model classifier between asphalt pavement raw materials and pavement quality.The results show that the support vector machine method has good applicability in pavement quality evaluation,and the model achieved the best performance when asphalt mixture and aggregate are used as input parameters.
Internet of thingsAsphalt pavement inspectionPavement qualityAsphalt raw materialsSupport vector machine
NETL
NSTL
万方数据
