Industrial IoT: Mobility Support and Service Discovery for Industrial Process Monitoring

Autor: Dang, Tuan, Minet, Pascale, Bellot, Patrick, Mozzati, Christophe, Livolant, Erwan
Přispěvatelé: EDF R&D (EDF R&D), EDF (EDF), Wireless Networking for Evolving & Adaptive Applications (EVA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Département Informatique et Réseaux (INFRES), Télécom ParisTech, PREDICT [Vandœuvre-lès-Nancy], D. P. Acharjya, Cluster Connexion Project, Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), HAL, TelecomParis
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Internet of Things: Novel Advances and Envisioned Applications
D. P. Acharjya Internet of Things: Novel Advances and Envisioned Applications, Springer Verlag, 2016
Internet of Things : Novel Advances and Envisioned Applications
Internet of Things : Novel Advances and Envisioned Applications, Springer, pp. 57-85, 2016
Popis: International audience; In this chapter, we present a service-oriented architecture designed for the use of wireless sensors networks (WSNs) in industrial applications such as the operation and maintenance of industrial installations. This architecture comprises the OCARI wireless sensor network and the OPC-UA/ROSA middleware, as well as the KASEM predictive maintenance system. In contrast to well-known communication stacks for wireless sensor networks such as ZigBee and WirelessHart, OCARI has been designed to support mobility of sensor nodes. Furthermore, the OPC-UA/ROSA middleware provides service discovery to enable the interconnection of the WSN with the Internet of Things (IoT).This architecture targets various industrial applications such as process monitoring, pollutant detection, monitoring of fuel storage area, fire detection in temporary worksites, health monitoring of people working in hazardous conditions, etc.
Databáze: OpenAIRE