{"title":"Facility management of gas turbine power plants using 3D laser scanning","authors":"M. Marzouk, N. El-Bendary","doi":"10.1080/16874048.2022.2026013","DOIUrl":null,"url":null,"abstract":"ABSTRACT Industrial projects are extremely complex in terms of designing, engineering, construction, operation and maintenance. These projects involve extremely specialized activities during operation and maintenance phases. Optimizing the operation and maintenance phases for mega-industrial complexes such costs as power plants, petrochemicals, pharmaceuticals, and oil refineries increases the potential cost saving and maximizes the net profit. Plant maintenance comprises thousands of tasks, hundreds of workers, huge amount of equipment and material highly dependent on plant size. This research proposes a procedure for facility management using 3D laser scanning technologies in gas turbine power plants. High Density Point Cloud (HDPC) is obtained from 3D laser scanning of the power plant to facilitate the process of maintenance. HDPC is converted to regions in Recap application and the Autodesk Revit add-in imports the point cloud to Autodesk Revit and populates all the required maintenance data. This research describes the developed Power Plant Operation and Maintenance Tool (PPOMT) platform and its components to synchronize the data of the power plant with the online workspace information. All equipment information, the type of maintenance and the tasks to be carried out are defined for facility management purpose.","PeriodicalId":31454,"journal":{"name":"HBRC Journal","volume":"18 1","pages":"73 - 83"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HBRC Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/16874048.2022.2026013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Industrial projects are extremely complex in terms of designing, engineering, construction, operation and maintenance. These projects involve extremely specialized activities during operation and maintenance phases. Optimizing the operation and maintenance phases for mega-industrial complexes such costs as power plants, petrochemicals, pharmaceuticals, and oil refineries increases the potential cost saving and maximizes the net profit. Plant maintenance comprises thousands of tasks, hundreds of workers, huge amount of equipment and material highly dependent on plant size. This research proposes a procedure for facility management using 3D laser scanning technologies in gas turbine power plants. High Density Point Cloud (HDPC) is obtained from 3D laser scanning of the power plant to facilitate the process of maintenance. HDPC is converted to regions in Recap application and the Autodesk Revit add-in imports the point cloud to Autodesk Revit and populates all the required maintenance data. This research describes the developed Power Plant Operation and Maintenance Tool (PPOMT) platform and its components to synchronize the data of the power plant with the online workspace information. All equipment information, the type of maintenance and the tasks to be carried out are defined for facility management purpose.
工业项目在设计、工程、施工、运营和维护等方面都是极其复杂的。这些项目在操作和维护阶段涉及非常专业的活动。优化大型工业综合体的运行和维护阶段,如发电厂、石化、制药和炼油厂,增加潜在的成本节约和净利润最大化。工厂维护包括数千项任务,数百名工人,大量设备和材料,高度依赖于工厂规模。本研究提出了一种利用三维激光扫描技术对燃气轮机发电厂进行设备管理的方法。高密度点云(High Density Point Cloud, HDPC)是通过对电厂的三维激光扫描得到的,以方便维护过程。HDPC在Recap应用程序中转换为区域,Autodesk Revit插件将点云导入Autodesk Revit并填充所有所需的维护数据。本文介绍了开发的电厂运行与维护工具(PPOMT)平台及其组件,以实现电厂数据与在线工作空间信息的同步。所有设备信息、维护类型和要执行的任务都是为设施管理目的而定义的。