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Pervasive sensing technologies for facility management: a critical review

机译:设施管理中的普适传感技术:重要评论

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摘要

Purpose - The practice of facility management (FM) has been evolving with the rapid development of pervasive sensing technologies (PSTs) such as sensors, automatic identification (auto-ID), laser scanning and photogrammetry. Despite the proliferation of research on the use of PSTs for FM, a comprehensive review of such research is missing from the literature. This study aims to cover the knowledge void by examining the status quo and challenges of the selected PSTs with a focus on FM. Design/methodology/approach - This paper reviewed 204 journal papers recounting cases of using PSTs for FM. The reviewed papers were extracted from Elsevier Scopus database using the advanced search. Findings - Findings of this study revealed that PSTs and FM applications form a many-to-many mapping, i.e. one PST could facilitate many FM applications, and one application can also be supported by various PSTs. It is also found that energy modeling and management is the most referred purpose in FM to adopt PSTs, while space management, albeit important, received the least attention. Five challenges are identified, which include high investment on PSTs, data storage problem, absence of proper data exchange protocols for data interoperability, a lack of mature data processing methods for data utilization and privacy of users. Originality/value - This paper paints a full picture of PSTs adoption for FM. It pinpoints the promising explorations for tackling the key challenges to future development.
机译:目的-设施管理(FM)的实践随着诸如传感器,自动识别(auto-ID),激光扫描和摄影测量等普适传感技术(PST)的快速发展而发展。尽管使用PSTs进行FM的研究激增,但文献中仍缺少对此研究的全面综述。这项研究旨在通过检查选定的PST(以FM为重点)的现状和挑战来弥补知识空白。设计/方法/方法-本文审查了204篇关于使用PST进行FM的案例的期刊论文。使用高级搜索从Elsevier Scopus数据库中提取评论的论文。结果-该研究的结果表明,PST和FM应用程序形成了多对多映射,即一个PST可以促进许多FM应用程序,并且一个应用程序也可以由各种PST支持。还发现,能源建模和管理是FM中采用PST的最重要目的,而空间管理尽管很重要,却受到的关注最少。确定了五个挑战,其中包括对PST的大量投资,数据存储问题,缺乏用于数据互操作性的适当数据交换协议,缺乏用于数据利用和用户隐私的成熟数据处理方法。原创性/价值-本文全面介绍了FM使用PST的情况。它指出了应对未来发展的关键挑战的有前途的探索。

著录项

  • 来源
    《Facilities》 |2020年第2期|161-180|共20页
  • 作者

  • 作者单位

    Department of Real Estate and Construction University of Hong Kong Hong Kong China;

    Huazhong University of Science and Technology Wuhan China;

    BIM Department Hong Kong Construction Industry Council Hong Kong China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Facility management; Laser scanning; Photogrammetry; Videogrammetry; Sensor; Auto-ID;

    机译:设施管理;激光扫描摄影测量;影像测量传感器;自动识别;

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