腐蚀大数据技术及其智慧工程应用

李众, 李小龙, 张晓虎, 刘超, 程学群, 李晓刚

装备环境工程 ›› 2026, Vol. 23 ›› Issue (3) : 45-57.

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装备环境工程 ›› 2026, Vol. 23 ›› Issue (3) : 45-57. DOI: 10.7643/issn.1672-9242.2026.03.006
专刊——装备服役环境与性能试验

腐蚀大数据技术及其智慧工程应用

  • 李众, 李小龙, 张晓虎, 刘超, 程学群, 李晓刚*
作者信息 +

Corrosion Big Data Technologies and Their Applications in Intelligent Engineering

  • LI Zhong, LI Xiaolong, ZHANG Xiaohu, LIU Chao, CHENG Xuequn, LI Xiaogang*
Author information +
文章历史 +

摘要

系统梳理了材料腐蚀大数据建设的基础条件与技术体系,总结了其在能源、交通、海洋工程及基础设施等领域的工程应用成效,分析了现阶段发展面临的关键挑战,并展望了大数据支撑下材料腐蚀研究与智慧工程应用的未来发展方向。

Abstract

This paper systematically combs the basic conditions and technical system of material corrosion big data construction, summarizes its engineering application effects in fields such as energy, transportation, marine engineering and infrastructure, analyzes the key challenges faced at this stage, and prospects the future development direction of material corrosion research and intelligent engineering application supported by big data.

关键词

材料腐蚀 / 腐蚀大数据 / 数据采集 / 数据库 / 材料服役安全 / 智慧工程

Key words

material corrosion / corrosion big data / data acquisition / database / material service safety / intelligent engineering

引用本文

导出引用
李众, 李小龙, 张晓虎, 刘超, 程学群, 李晓刚. 腐蚀大数据技术及其智慧工程应用[J]. 装备环境工程. 2026, 23(3): 45-57 https://doi.org/10.7643/issn.1672-9242.2026.03.006
LI Zhong, LI Xiaolong, ZHANG Xiaohu, LIU Chao, CHENG Xuequn, LI Xiaogang. Corrosion Big Data Technologies and Their Applications in Intelligent Engineering[J]. Equipment Environmental Engineering. 2026, 23(3): 45-57 https://doi.org/10.7643/issn.1672-9242.2026.03.006
中图分类号: TG172   

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