长江大保护工程项目群智慧工地系统设计研究  

Research on design of smart construction site system forYangtze River Protection Project Group

作　　者：毛三军 胡伟 彭相国 李玉婷 付学奎 钟贵泰 MAO Sanjun;HU Wei;PENG Xiangguo;LI Yuting;FU Xuekui;ZHONG Guitai(Yangtze Three Gorges Technology and Economy Development Co,.Ltd.,Beijing 101199,China;Changjiang Schinta Software Technology Co,.Ltd.,Wuhan 430010,China;Three Gorges High-Tech Information Technology Co,.Ltd.,Yichang 430000,China)

机构地区：[1]长江三峡技术经济发展有限公司,北京101199 [2]长江信达软件技术(武汉)有限责任公司,湖北武汉430010 [3]三峡高科信息技术有限责任公司,湖北宜昌430000

出　　处：《水利水电快报》2024年第10期117-123,共7页Express Water Resources & Hydropower Information

基　　金：中国长江三峡集团有限公司科研项目(202103551)。

摘　　要：为实现长江大保护工程项目现场质量安全高效监管,在分析长江大保护工程项目工地管理特点的基础上,引入了视频AI分析、边缘计算及物联网等技术,构建了面向长江大保护工程施工过程监管的智慧工地系统。基于视频AI分析技术,解决了工地人员姿态识别、安全防护用品不规范佩戴识别、施工现场危险区域自动检测(包括基坑、井、陡坡、沟槽)等问题,提升了大范围线性工地安全监管的效率;通过物联网技术,成功实现了海量智慧工地监测感知设备便捷接入统一平台。该系统以各个施工作业面为基础,实现了工地宏观层面与微观层面相结合的多层次信息集成,提供了一种有效的管理模式,并在实践中得到了成功应用。研究成果可为智慧工地系统搭建与类似工程项目的智慧化监管提供参考。In order to realize the efficient supervision of the quality and safety of Yangtze River Protection Project site,based on the characteristic analysis of its management,video AI analysis,edge computing,Internet of Things and other technologies were introduced to build a smart site system for the supervision of the construction process of the Yangtze River Protection Project.Based on video AI analysis technology,problems such as posture recognition of construction personnel,identification of safety protection equipment,and automatic detection of hazardous areas on construction sites(including foundation pits,wells,steep slopes,and trenches)had been solved,which can greatly improve the efficiency of large-scale linear construction site safety supervision.Through the Internet of Things technology,we had successfully achieved convenient access to a unified platform for a large number of smart construction site monitoring and perception devices.This system was based on various construction work surfaces,achieving the multi-level information integration that combined macro and micro levels of the construction site,providing an effective management mode,and had been successfully applied in practice.The research results can provide a reference for the intelligent supervision of similar engineering projects.

关 键 词：长江大保护 物联感知平台 视频AI分析 项目群管理 智慧工地系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]