红水河2024,Vol.43Issue(4) :145-150.DOI:10.3969/j.issn.1001-408X.2024.04.031

信息化智慧管理系统在大断面地下洞室群施工管理领域的应用

Application of Information Intelligent Management System in Construction Management of Large Section Underground Caverns

王润泽 徐志 李法乾
红水河2024,Vol.43Issue(4) :145-150.DOI:10.3969/j.issn.1001-408X.2024.04.031

信息化智慧管理系统在大断面地下洞室群施工管理领域的应用

Application of Information Intelligent Management System in Construction Management of Large Section Underground Caverns

王润泽 1徐志 1李法乾1
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作者信息

  • 1. 中国安能集团第一工程局有限公司,广西 南宁 530200
  • 折叠

摘要

笔者结合大断面地下洞室群施工中存在地质情况不明确、施工环境复杂等难题,分析信息化智慧管理系统建设的必要性,阐述系统架构及其功能,总结出系统应用效果.结果表明,信息化智慧管理系统将智能化和信息化与传统施工管理模式相结合,利用BIM、物联网等技术,实现施工管理与信息化管理的协调配合,提升工地管理的数字化、智能化程度,能够为大型地下洞室群施工项目提供全面、高效的智慧化管理支持.信息化智慧管理系统在工程领域具有广阔的发展空间,可以推动工程建设实现高效、安全、优质、经济的目标.

Abstract

Based on the problems of unclear geological conditions and complex construction environment in the construction of large section underground caverns,the authors analyze the necessity of the construction of information intelligent management system,expound the system architecture and its functions,and summarize the application effect of the system.The results show that the information intelligent management system combines intelligence and informatization with traditional construction management mode,and uses BIM,Internet of Things and other technologies to realize the coordination and cooperation between construction management and information management,and improve the digitization and intelligence of site management,which can provide comprehensive and efficient intelligent management support for large-scale underground caverns construction projects.The information intelligent management system has a broad space for development in the engineering field,which can promote the engineering construction to achieve the goal of high efficiency,safety,high quality and economy.

关键词

信息化智慧管理系统/大断面地下洞室群/施工管理

Key words

information intelligent management system/large section underground caverns/construction management

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出版年

2024
红水河
广西水力发电工程学会 广西电力工业勘察设计研究院

红水河

影响因子:0.132
ISSN:1001-408X
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