Title: Industrial IoT middleware using a multi-agent system for consistency-based diagnostic in cement factory

Authors: Ayoub Benayache; Azeddine Bilami; Khaled Benaggoune; Hayet Mouss

Addresses: Faculty of Mathematics and Computer Science, Computer Science Department, L@stic Laboratory, University of Batna 2, Batna 05078, Algeria ' Faculty of Mathematics and Computer Science, Computer Science Department, L@stic Laboratory, University of Batna 2, Batna 05078, Algeria ' Faculty of Technology, Laboratory of Automation and Production Engineering, University of Batna 2, Batna 05078, Algeria ' Faculty of Technology, Laboratory of Automation and Production Engineering, University of Batna 2, Batna 05078, Algeria

Abstract: With the evolution of the internet of things (IoT), and due to its significant need in the industry, Industrial IoT (IIoT) becomes the suitable naming for this accompaniment. IIoT changed the view of the industry intelligently and over the internet. This overlapping of IoT and industry requires special treatment when systems deal with heterogeneous devices in a distributed environment and complex tasks. In this paper, we propose a middleware solution based on multi-agents system (MAS) to handle the distributed control of complex systems autonomously in an industrial environment. The proposed middleware enables machine-to-machine (M2M) communications among the system's components. In this work, we also addressed the distributed diagnostic for real industrial system using MAS with a new suitable communication strategy to support the heterogeneity and interoperability issued in IIoT and assure real-time monitoring and control. Finally, we present a qualitative evaluation of our solution on real case study (cement factory).

Keywords: IIoT; industrial internet of things; MAS; multi-agent system; middleware; M2M communication; distributed diagnostic; monitoring system; manufacturing system.

DOI: 10.1504/IJAACS.2021.117805

International Journal of Autonomous and Adaptive Communications Systems, 2021 Vol.14 No.3, pp.291 - 310

Received: 09 Jul 2019
Accepted: 26 Mar 2020

Published online: 24 Sep 2021 *

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