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

研究成果: Conference contribution同行評審

8 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security
編輯Gary Wills, Peter Kacsuk, Victor Chang
發行者SciTePress
頁面392-398
頁數7
ISBN(電子)9789897584268
出版狀態Published - 2020
事件5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020 - Virtual, Online
持續時間: 7 5月 20209 5月 2020

出版系列

名字IoTBDS 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
城市Virtual, Online
期間7/05/209/05/20

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