轨道交通工程总承包项目智能管控方法与平台应用研究
徐加兵陈前崔力波
Intelligent Management-control Method and Platform Application for Rail Transit EPC Projects
XU JiabingCHEN QianCUI Libo
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作者信息:中铁建华南建设有限公司，511458，广州
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Affiliation:China Railway Construction South China Construction Co., Ltd., 511458, Guangzhou, China
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Key words:
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DOI:10.16037/j.1007-869x.2024.07.045
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中图分类号/CLCN:U239.5
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栏目/Col:研究报告
摘要:
［目的］针对轨道交通工程总承包精细化管理落地难、进度管控信息滞后、安全生产监管任务重、数字化移交难以实现等技术难题，提出一种基于BIM（建筑信息模型）的工程总承包项目智能管控方法与平台应用关键技术。［方法］分析了工程总承包项目存在的主要管理痛点及难点；按照系统工程与敏捷开发理论进行工程总承包业务需求分析和总体架构设计；研究了模型轻量化及三维显示、模型与计划自动关联、基于数据迭代的动态施工组织模拟等关键技术；定制开发了一套基于BIM的工程总承包管理平台，并应用于轨道交通工程。［结果及结论］所开发的12项智能设计智慧建模插件能大幅提高模型质量和建模效率，且能够较好地解决图模一致性的问题。基于数据迭代的动态施工组织模拟技术能够充分利用实际数据预测工程进度趋势，提前采取纠偏措施，实现对大型项目整体工期目标的有效控制。利用派工单对重点作业进行许可审批管理，综合利用物联网等技术手段规范施工人员、材料、机械设备配置及验收管理流程，约束参建各方正确履行监督管理程序，确保执行机制的有效性及信息传递的可靠性，实现项目全过程的数字化移交。
Abstracts:
［Objective］ Targeting the technical challenges including difficult implementation of refined management, lagged progress control information, heavy safety supervision tasks, and difficulties in achieving digital handover in rail transit engineering, procurement, and construction (EPC) projects, an intelligent management-control method and the key technologies for platform application of the EPC projects based on BIM (building information modeling) is proposed. ［Method］ The main management pain points and difficulties existing in EPC projects are analyzed. Business requirement analysis and overall architecture design for EPC based on system engineering and agile development theories are carried out. Key technologies such as lightweight modeling and 3D visualization, model-plan automatic association, and dynamic construction organization simulation based on data iteration are investigated. The above EPC management platform based on BIM is specially developed and applied to rail transit projects. ［Result & Conclusion］ The developed 12 intelligent design and smart modeling plugins can significantly improve model quality and modeling efficiency, and effectively address issues of graph-model consistency. The dynamic construction organization simulation technology based on data iteration can fully utilize actual data to predict project progress trends, enabling proactive corrective measures and effective control of overall engineering schedule objectives for large-scale projects. Work orders are used for approving critical on-site operations, and technological means such as IoT (Internet of Things) are comprehensively integrated to regulate construction personnel, material, and equipment configuration, as well as acceptance management processes, constraining all parties involved to correctly follow supervision and management procedures, thus ensuring the effectiveness of execution mechanisms and the reliability of information delivery while achieving digital handover throughout project full process.
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