SRE: Semantic Rules Engine For the Industrial Internet-Of-Things Gateways

Autor: Christophe Saint-Marcel, Hicham Hossayni, Charbel El Kaed, Andre Van Den Berg, Imran Khan
Jazyk: angličtina
Rok vydání: 2017
Předmět:
FOS: Computer and information sciences
Service (systems architecture)
Computer science
Energy management
Computer Science - Artificial Intelligence
02 engineering and technology
Systems and Control (eess.SY)
Ontology (information science)
Semantics
Computer Science - Networking and Internet Architecture
0202 electrical engineering
electronic engineering
information engineering

FOS: Electrical engineering
electronic engineering
information engineering

Electrical and Electronic Engineering
Semantic Web
Networking and Internet Architecture (cs.NI)
business.industry
Business rule
020207 software engineering
Semantic reasoner
Energy consumption
Computer Science Applications
Artificial Intelligence (cs.AI)
Control and Systems Engineering
Computer Science - Systems and Control
020201 artificial intelligence & image processing
Software engineering
business
Information Systems
Popis: The Advent of the Internet-of-Things (IoT) paradigm has brought opportunities to solve many real-world problems. Energy management, for example, has attracted huge interest from academia, industries, governments and regulatory bodies. It involves collecting energy usage data, analyzing it, and optimizing the energy consumption by applying control strategies. However, in industrial environments, performing such optimization is not trivial. The changes in business rules, process control, and customer requirements make it much more challenging. In this paper, a Semantic Rules Engine (SRE) for industrial gateways is presented that allows implementing dynamic and flexible rule-based control strategies. It is simple, expressive, and allows managing rules on-the-fly without causing any service interruption. Additionally, it can handle semantic queries and provide results by inferring additional knowledge from previously defined concepts in ontologies. SRE has been validated and tested on different hardware platforms and in commercial products. Performance evaluations are also presented to validate its conformance to the customer requirements.
Accepted for publication in forthcoming issue of IEEE Transactions on Industrial Informatics. The content is final but has NOT been proof-read
Databáze: OpenAIRE