Pampana Ashish Kumar, Jeon JungHo, Yoon Soojin, Weidner Theodore J
Civil and Environmental Engineering, Oklahoma State University, 505 Engineering North, Stillwater, OK 74078, USA.
Department of Architectural Engineering, Pusan National University, 63 Beon-gil, Geumjeong-gu, Busan 46241, South Korea.
Data Brief. 2024 Aug 20;57:110845. doi: 10.1016/j.dib.2024.110845. eCollection 2024 Dec.
Historical building maintenance data were collected from twelve universities in the United States (U.S.) and Canada, spanning from the year 2002 to 2021, with a particular focus on Planned Preventive Maintenance (PPM) and Unplanned Maintenance (UPM). The collected data underwent preprocessing and organization based on the Facility Management Unified Classification Code (FMUCO), Fig. 1 which was developed to classify heterogeneous building maintenance data. The resulting dataset comprises nine attribute groups (university, building, system, subsystem, component, work order, work order cost, work order labor, and weather) and their corresponding data attributes. The dataset aims to (1) provide insights into the current status of building management for campus-sized institutions and (2) facilitate data-driven analyses of facility management.
历史建筑维护数据收集自美国和加拿大的12所大学，时间跨度为2002年至2021年，特别关注计划预防性维护（PPM）和非计划维护（UPM）。收集到的数据根据设施管理统一分类代码（FMUCO）进行了预处理和整理，图1是为对异构建筑维护数据进行分类而开发的。最终的数据集包括九个属性组（大学、建筑、系统、子系统、组件、工作订单、工作订单成本、工作订单劳动力和天气）及其相应的数据属性。该数据集旨在（1）深入了解校园规模机构的建筑管理现状，（2）促进设施管理的数据驱动分析。
