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Intelligent industrial Processes: Big data devices
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-9586-0991
2014 (English)Report (Other academic)
Abstract [en]

A versatile and competitive process industry is important for both Sweden's and Europe's future status as new players are emerging. To secure our position, constant improvement and development of industrial processes are required in order to increase productivity while reducing the pressures on the climate and the environment. One key area is ProcessIT (or Process industrial automation) in which several Swedish companies are world leaders in its development, delivery and application.The interest for new technologies such as Internet of Things (IoT), Cyber-Physical Systems (CPS), Big data, and Cloud computing have been increasing rapidly the last years. There have been a number of predictions from some of the world's largest companies in the business of computer communication, such as Cisco, Intel, Ericsson, etc. where the number of Internet connected devices will reach somewhere between 30 and 50 billion devices by the year 2030. This will include traditional devices such as computers and laptops, tablets, smart phones as well as new types of devices such as resource-constrained sensor and actuator platforms.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2014. , 19 p.
Series
Technical report / Luleå University of Technology, ISSN 1402-1536
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics; Intelligent industrial processes (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-21888Local ID: 09669ff7-38b3-4afd-8f8e-d5a2ebd1cba9ISBN: 978-91-7583-198-5 (electronic)OAI: oai:DiVA.org:ltu-21888DiVA: diva2:994936
Note
Godkänd; 2014; 20141128 (jench)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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CiteExportLink to record
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Citation style
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