基于检测大数据的国省道养护决策研究

Research on National and Provincial Road Maintenance Decision Based on Detection Big Data

为了帮助道路养护部门更好地决策养护公路的时间间隔,文章构建了沥青路面使用性能衰减预测模型。组合灰色预测模型和回归分析法,完成对普通国省道路面养护决策体系的构建,对数据进行预处理,通过模型计算得到结果并进行展示。这种基于检测大数据的养护决策体系便于道路养护部门更好地进行决策,规划养护周期。

In order to help the road maintenance department to better determine the time interval of road maintenance,this paper constructs the prediction model of asphalt pavement service performance degradation. The grey prediction model and regression analysis method are combined to complete the construction of the pavement maintenance decision-making system of ordinary national and provincial roads, and the data are preprocessed. The results are obtained and displayed through model calculation. This maintenance decision-making system based on detection big data facilitates road maintenance departments to make better decisions and plan maintenance cycles.