沥青路面
沥青
公路养护
工程类
计算机科学
建筑工程
运输工程
地理
地图学
作者
Zhihao Fu,Zhaohui Ning,Xinyun Xu,Cheng Liu
出处
期刊:CRC Press eBooks
[Informa]
日期:2023-02-01
卷期号:: 471-476
标识
DOI:10.1201/9781003348023-66
摘要
The use of detection and maintenance decision technology has greatly developed in several engineering fields. This paper is aimed to provide a state-of-the-art survey of detection and maintenance decision technology applications in asphalt pavement. The reported studies are briefly divided into four categories: (1) detection technology of asphalt pavement, (2) intelligent identification of pavement diseases, (3) maintenance decision of asphalt pavement, and (4) conclusion. The conclusions drawn from the analysis show that: Asphalt pavement detection technologies such as fiber grating and acoustic vibration technology have improved the efficiency of pavement detection, but there are still some problems with sensors in terms of durability, systematic, and intelligence. Artificial intelligence and big data analysis have been widely used in intelligent maintenance decision-making of asphalt pavement. Algorithm-based intelligent recognition of pavement smoothness, anti-skid performance, and cracks has also made great progress. Multi-disease intelligent recognition technology can be used for the whole-process disease monitoring of the future road surface, and realize the automatic and efficient analysis of road service performance and road maintenance strategy optimization. However, further research is needed on intelligent decision-making training sets and deep learning algorithms.
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