基于机器学习方法的桥梁病害原因分析

Q. Xu, Lixin Liu, An Zhao, Jianyong Song
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引用次数: 0

摘要

利用人工和信息系统对桥梁病害进行分析是一项重要的工作,但现阶段还没有高效、智能的方法。为了提高该技术的智能化水平,根据桥梁检测与评估的标准、方法和信息现状,提出了构建桥梁病害原因与维修措施知识库的框架和方法。本文从基于机器学习的人工智能方法出发,探索解决桥梁疾病智能诊断的思路,提出桥梁检测评估标准化、标准化、智能化的技术发展方向,也为行业从业者进一步研究提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causes Analysis of Bridge Disease Based on Machine Learning Method
Bridge disease analysis obtained by artificial and information systems is an important work, and there is still no efficient or intelligent method at this stage. In order to improve the intelligent level of this technology, according to the standards, methods and information status of bridge detection and evaluation, this paper puts forward the framework and method of constructing the knowledge base of bridge disease causes and maintenance measures. Starting from the artificial intelligence method based on machine learning, this paper explores the idea of solving the intelligent diagnosis of bridge diseases, puts forward a technical development direction of standardization, standardization and intelligence of bridge detection and evaluation, and also provides reference for further research of practitioners in the industry.
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