A Scalable and sustainable Web of buildings architecture

Abstract : Buildings are increasingly equipped with dedicated automation networks, aiming to reduce the energy consumption and to optimize the comfort. On the other hand, we see the arrival of sensors and actuators related to the Internet of Things, which can naturally connect to IP networks. Due to constraints imposed by the obsolescence or physical properties of buildings, it is not uncommon that different technologies have to coexist. These networks operate with different models and protocols, making the development of global automation systems difficult. Traditional models of distributed systems are not adapted to the context of sensor networks. The paradigm of the Web of Things is resource-based and strives to standardize the application layer of different objects using Web technologies, primarily HTTP and REST. In this thesis, we use the Web of Things to create a framework dedicated to smart buildings, allowing developers to develop composite applications without knowledge of the underlying technologies. By relying on Web technologies, we can provide seamless service while reusing the available resources within the network (sensors and actuators), forming a self-managed cloud. In order to equip the buildings with a higher-level intelligence, machine learning, often reserved for experts, is made accessible through Web interfaces hiding the complexity of the process.
Keywords : Smart building
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Theses
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https://pastel.archives-ouvertes.fr/tel-01217307
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Submitted on : Monday, October 19, 2015 - 12:32:06 PM
Last modification on : Thursday, October 17, 2019 - 12:36:09 PM
Long-term archiving on : Thursday, April 27, 2017 - 6:37:29 AM

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  • HAL Id : tel-01217307, version 1

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Gérôme Bovet. A Scalable and sustainable Web of buildings architecture. Automatic Control Engineering. Télécom ParisTech, 2015. English. ⟨NNT : 2015ENST0033⟩. ⟨tel-01217307⟩

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