基于多层位病害的路面养护决策模型研究

打开文本图片集

DOI：10.19981/j.CN23-1581/G3.2026.12.026

（1.贵州省遵义公路管理局，贵州遵义563000；2.贵州省公路局，贵阳550003；3.遵义公路建设养护有限公司，贵州遵义563000；4.成都圭目数智交通科技有限公司，成都610000）

关键字： 公路路面; 多层位病害; 数智化检测; 养护决策模型; 精细化养护

中图分类号：U418.6

文献标志码：A

文章编号：2095-2945（2026）12-0103-04

Abstract： Traditional detection methods have the problem of difficulty in collecting road data in a refined manner， especially the lack of important internal structural disease data when formulating pavement maintenance decision-making models， which leads to inadequate or excessive treatment of highway diseases. To this end， this paper establishes a scientific maintenance decision-making method based on precise highway structure detection data， explains the pavement maintenance decision-making process， and carries out maintenance plan formulation and maintenance cost estimation for the surveyed sections. The results show that its refined maintenance measures can locate the maintenance accuracy at the centimeter level. It avoids the traditional extensive maintenance and repair of the entire section， full depth， and full width， saves a lot of maintenance costs， and has good economic and social benefits.

Keywords： highway pavement; multi-layer disease; digital detection; maintenance decision model; refined maintenance

传统检测方法存在道路数据精细化采集困难的问题，尤其是制定路面养护决策模型时缺乏重要的内部结构病害数据，将导致建立的养护决策模型无法准确地反映路面结构行为及制定合理的养护方案，难以指导设计和施工等单位进行精细化养护 [1-2] 。（剩余4162字）