马鹏飞,郭德龙,许文年,陈新,谢渊

• 1:河海大学土木与交通学院
• 2:三峡大学
• 3:中铁十四局集团有限公司

摘要(Abstract)：

地上的国土面积很有限，向广袤土地拓展开发利用更多的城市地下空间势在必行，综合管廊能够将多种看不见的城市基础管线、能源设施和智能装备集中安设于一个无障碍地下通道。由于管廊建设项目“全过程”的规建管活动堆积了海量的系统的观测数据，随着21世纪计算机科学技术的进步，大数据和人工智能AI等前沿科技陆续被运用到管廊工程信息化业务发展中。简介大数据及AI基础，展示管廊领域涉及的大数据核心关键技术，深度解析了AI科学与工程大数据相结合的管廊监测、管廊结构安全(耐久)性实时预测与预警实施的技术难点及发展前景，并阐述了借助区块链大数据技术构建管廊综合管理智慧平台的缘由。以“综合管廊”“大数据”“AI”“监测”“神经网络”“运维管理”“预测”“智慧建设”等及其组合为检索关键词，通过调研近五六年来已刊出文献，对管廊工程中大数据智能技术现有的应用研究作了总结与评述。分析认为：从业者不仅应注重面向廊内收容物巡检、人员状态捕捉或相关环境监测的数智化技术创新与应用，更要基于全寿命安全管控理念将目光延拓至结构本体输出量(如变形、加速度、内力、温度)的多步向前预测和智能控制上，建立跨界融合研究和个性化学习的机制，力争管廊服务系统形成自动化、界面化和产业化运作模式。

关键词(KeyWords)： 地下综合管廊;大数据;人工智能AI;关键技术;结构安全性分析预判;应用进展;对策建议

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金重点项目(41830110);; 中交养护集团重大科技研发项目(27100020Y248)

作者(Author): 马鹏飞,郭德龙,许文年,陈新,谢渊

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