数字化设计在小保当选煤厂改扩建工程中的应用研究

    Application study of digital design in the upgrading and expansion project of Xiaobaodang Coal Preparation Plant

    • 摘要: 为推动煤炭行业智能化、绿色化转型,解决选煤厂改扩建工程传统二维设计精度低、协同性差、冲突多、可视化程度低等问题,采用建筑信息模型(BIM)正向设计技术,以ProjectWise为协同核心、OpenBuildings Designer与OpenPlant Modeler为建模支撑,结合自主研发的参数化工具,搭建一体化数字化设计体系,并以小保当选煤厂主厂房与筛分破碎车间改扩建工程为对象,开展多专业协同建模、全流程碰撞检查、参数化构件设计与模型直接出图等系统性研究。结果表明:该技术路径可实现设计阶段58处碰撞点排查与35项有效碰撞优化,图纸差错率降低约30%,整体设计周期缩短约15%,完成多专业模型集成与数字化交付,并实现模型数据与运维阶段设备二维码系统的联动应用。BIM正向设计可显著提升选煤厂改扩建工程设计精度、协同效率与管控水平,降低施工返工风险,推动煤炭洗选工程全生命周期信息化管理,提升大型选煤厂技改项目设计质量与建设效率,助力煤炭行业数字化与智能化升级。

       

      Abstract: To promote the intelligent and green transformation of the coal industry and address issues such as low precision, poor collaboration, frequent conflicts, and low visualization inherent in traditional 2D design within coal preparation plant upgrading and expansion projects, this study adopts Building Information Modeling (BIM) forward design technology. An integrated digital design system was established, utilizing ProjectWise as the collaborative core, supported by OpenBuildings Designer and OpenPlant Modeler for modeling, and integrated with independently developed parametric tools. Focusing on the main plant and the screening and crushing workshop of the Xiaobaodang Coal Preparation Plant upgrading and expansion project, systematic research was conducted on multi-disciplinary collaborative modeling, full-process clash detection, parametric component design, and direct drawing generation from models. The results indicate that this technological approach enabled the identification of 58 clash points and the optimization of 35 valid clashes during the design phase. Furthermore, the drawing error rate was reduced by approximately 30%, and the overall design cycle was shortened by about 15%. The project successfully achieved multi-disciplinary model integration, digital delivery, and the linked application of model data with the equipment QR code system in the operation and maintenance phase. BIM forward design can significantly improve the design precision, collaborative efficiency, and management level of coal preparation plant upgrading and expansion projects, mitigate the risk of construction rework, and promote information management throughout the entire lifecycle of coal washing and preparation engineering. Ultimately, it enhances the design quality and construction efficiency of technical modification projects in large-scale coal preparation plants, accelerating the digital and intelligent upgrading of the coal industry.

       

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