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水厂建筑BIM管理平台研发与实践

Development and Practice of BIM Management Platform for Waterworks Buildings

  • 摘要: 为解决传统水厂建筑工程因工艺复杂、专业协同困难导致的信息整合与运维管理效率低下问题,研发了基于BIM与WebGIS技术的水厂建筑管理平台。该平台面向水厂建筑的设计、施工、运维等全生命周期,开发了模型交互、进度管理、设备管理、资料管理和用户权限五大核心模块。该平台重点突破了语义信息轻量化和几何模型轻量化技术两项关键技术:一是通过优化IFC文件解析流程和BIM模型语义信息存储结构,将数据写入耗时从13800 s降至4 s,存储空间占用缩减为原来的约1/7;二是利用几何实例映射矩阵,在前端实现了模型轻量化展示,提升了Web端模型的加载速度与交互体验。本研究结合某自来水厂项目进行了应用验证。在施工阶段,平台可有效辅助校验计划合理性并实时监控工程进展;在运维阶段,能够对设备运行状态进行实时监测。应用结果表明,平台预计可使整体工期缩短8%~12%,并将常规设备巡检由每日3人减至1人,节省约66%的人力成本,为同类工程的数字化管理提供了可行的实践参考。

     

    Abstract: To address the inefficiencies in information integration and operational management caused by complex processes and interdisciplinary coordination in traditional water treatment plant construction projects, a management platform for water plant buildings has been developed based on BIM and WebGIS technologies. This platform supports the entire lifecycle of water plant buildings, including design, construction, and operation and maintenance, and incorporates five core modules: model interaction, progress management, equipment management, documentation management, and user permissions. The platform achieved breakthroughs in two key technologies: semantic information lightweighting and geometric model lightweighting. First, by optimizing the IFC file parsing process and the BIM model semantic information storage structure, data writing time was drastically reduced from 13800 seconds to just 4 seconds, while storage space usage was reduced to approximately one-seventh of the original. Second, using a geometric instance mapping matrix, lightweight model visualization was implemented on the front-end, significantly improving model loading speed and interactive experience in web browsers. This study was validated through application in an actual water treatment plant project. During the construction phase, the platform effectively assists in validating the rationality of plans and enables real-time monitoring of project progress. In the operation and maintenance phase, it supports real-time monitoring of equipment operational status. Application results indicate that the platform is expected to shorten the overall construction period by 8%-12% and reduce routine equipment inspection staffing from three people per day to one, saving approximately 66% in labor costs, thereby providing a practical reference for the digital management of similar projects.

     

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