Self-adaptive sensing iot platform for conserving historic buildings and collections in museums

Rita Tse, Marcus Im, Su Kit Tang, Luís Filipe Menezes, Alfredo Manuel Pereira Geraldes Dias, Giovanni Pau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

As historic buildings and collections in museums are normally of deteriorated structure or materials, any sudden change of weather or environment, such as oxygen level, temperature, humidity, air quality, etc., may cause damages to them and it may not be recoverable. Internet of Things (IoT) is common in solving problems by collecting environmental data using sensors. The data is live and immediate for visualizing the environment, which is suitable for conserving the buildings and collections. However, there is no one-for-all IoT solution for this conservation problem. In this paper, we propose the design of the sensor device in the IoT platform for conserving historic buildings and collections in museums. The sensor device is self-adaptive, running continuously without any interruption causing by the instability of power and network connection. The platform is currently implemented for the conservation project in the Science museum, University of Coimbra, Portugal. It has been running over a year and the conservation work is going well.

Original languageEnglish
Title of host publicationIoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security
EditorsGary Wills, Peter Kacsuk, Victor Chang
PublisherSciTePress
Pages392-398
Number of pages7
ISBN (Electronic)9789897584268
Publication statusPublished - 2020
Event5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020 - Virtual, Online
Duration: 7 May 20209 May 2020

Publication series

NameIoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security

Conference

Conference5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020
CityVirtual, Online
Period7/05/209/05/20

Keywords

  • Internet of Things
  • Self-adaptive Sensing
  • World Heritage Conservation

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