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北美大学规划预防性和非规划性维护建筑设施的全面维护数据集
Ashish Kumar Pampana1, JungHo Jeon2, Soojin Yoon3
1Civil and Environmental Engineering, Oklahoma State University, 505 Engineering North, Stillwater, OK 74078, USA.
Data in brief
|October 11, 2024
概括
本研究分析了20年的大学建筑维护数据,重点关注计划预防性维护 (PPM) 和计划外维护 (UPM). 这些发现提供了对校园设施管理的见解,并支持基于数据的分析.
科学领域:
- 设施管理设施管理
- 建筑科学 建筑科学
- 数据科学数据科学数据科学
背景情况:
- 分析了来自12所美国和加拿大大学 (2002-2021) 的历史建筑维护数据.
- 专注于计划预防性维护 (PPM) 和计划外维护 (UPM) 提供了详细的操作见解.
研究的目的:
- 提供对大型校园机构建筑管理现状的见解.
- 为了实现数据驱动的分析,改进设施管理策略.
主要方法:
- 使用设施管理统一分类代码 (FMUCO) 进行数据预处理和组织.
- 数据集分为九个属性组:大学,建筑,系统,子系统,组件,工作顺序,成本,劳动力和天气.
主要成果:
- 创建了一个全面的数据集,详细介绍了建筑维护的各个方面.
- 该数据集有助于研究学术设施的维护模式和资源分配.
结论:
- 开发的数据集是理解和优化高等教育设施管理的宝贵资源.
- 这项工作支持在建筑维护和运营方面推进基于证据的实践.
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