AI检测技术在公路水运工程中的应用与展望
作者:
作者单位:

上海市交通建设工程管理中心,上海市 200065

作者简介:

傅静(1979—), 女, 学士, 经济师, 工程师, 从事交通建设工程监督管理工作。

通讯作者:

中图分类号:

U495

基金项目:


Application and Prospects of AI Detection Technology in Highway and Waterway Engineering
Author:
Affiliation:

Shanghai Communications Construction Engineering Management Center, Shanghai, 200065

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    摘要:

    系统研究AI检测技术在公路水运工程领域的应用价值与经济效益实现路径。梳理AI检测从初步探索到全生命周期管理的三阶段演进历程,分析其在施工质量管控、运营结构监测、安全风险预警三大核心场景的技术应用方案。构建“直接成本节约-间接风险规避-长期战略价值”三维经济效益分析框架,验证了AI检测技术可有效提升施工效率,降低返工率,降低全生命周期成本。同时通过剖析复杂环境适配、高初始投入等应用挑战,提出技术融合、模式创新等优化策略,为行业规模化应用提供实践指引。

    Abstract:

    This paper systematically examines the application value and pathways to realizing economic benefits of AI inspection technology in highway and waterway engineering. It traces the three-stage evolution of AI inspection from initial exploration to full lifecycle management, and analyzes its technical application solutions across three core scenarios: construction quality control, operational structural monitoring, and safety risk early warning. A three-dimensional economic benefit analysis framework is developed, structured around "direct cost savings - indirect risk mitigation - long-term strategic value". Validated through typical cases, AI inspection is shown to enhance construction efficiency, reduce rework rates, and cut down overall lifecycle costs. The paper also examines application challenges such as adaptation to complex environments and high initial investment costs, and proposes optimization strategies including technology integration and model innovation, providing practical guidance for large-scale industry adoption.

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引用本文

傅静. AI检测技术在公路水运工程中的应用与展望[J].城市道桥与防洪,2026,(6):409-413.

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  • 收稿日期:2026-01-23
  • 最后修改日期:2026-04-20
  • 录用日期:2026-02-08
  • 在线发布日期: 2026-06-11
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