Title: IoT-based risk monitoring system for safety management in warehouses

Authors: Sourour Trab; Ahmed Zouinkhi; Eddy Bajic; Mohamed Naceur Abdelkrim; Hassen Chekir

Addresses: MACS Laboratory, Modeling, Analysis and Control of Systems, National Engineering School of Gabes (ENIG), University of Gabes, Tunisia ' MACS Laboratory, Modeling, Analysis and Control of Systems, National Engineering School of Gabes (ENIG), University of Gabes, Tunisia ' CRAN-UMR CNRS 7039, Université de Lorraine, Nancy, France ' MACS Laboratory, Modeling, Analysis and Control of Systems, National Engineering School of Gabes (ENIG), University of Gabes, Tunisia ' Tunisian Chemical Group, Gabes, Tunisia

Abstract: This paper relies on the concepts and architecture of IoT to design a risk monitoring system for a hazardous product warehouse. The enhancement of product into smart product as a sensor-equipped communicating device allows controlling and monitoring the product interactions in the objective of risks prevention and avoidance. A generic warehouse safety policy supported by the smart products is presented that relies on a set of parametric safety rules for storage, picking and handling of products. Our proposal aims to provide the benefits of information availability, communication and decision-making, deep in the warehousing physical world, and oriented toward a global safety assurance. We present an implementation case for chemical products warehousing, that uses ZigBee wireless sensor network platform and LabView software. The achievement of smart products and remote monitoring allows dynamic risk assessment by analysis of product's information and status, and ambient condition parameters of warehouse for safety assurance.

Keywords: internet of things; IoT; risk monitoring system; warehouse management system; WMS; intelligent product; safety management.

DOI: 10.1504/IJICT.2018.095049

International Journal of Information and Communication Technology, 2018 Vol.13 No.4, pp.424 - 438

Received: 24 Mar 2016
Accepted: 09 Oct 2016

Published online: 21 May 2018 *

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