PostDoc Project
Distributed intelligence and interactions between energy constrained industrial IoT devices in an Edge IoT architecture
2022/09/01 - 2023/08/31
Industrial accidents related to the storage/handling/warehousing of hazardous products is a major challenge for modern industries constrained by

maximum safety requirements for goods and people. Since 2018, when 1112 accidents and incidents were recorded in France in classified installations,

the number

of industrial accidents has increased by 34% (e.g. 2019: Fire in the Lubrizol factory, 2020 Arcelor Dunkerke, 2020 Lebanon : Port of Beirut, ... and

remember AZF Toulouse in 2001).

The ANR I2RM project (N° ANR-21-SOIM-0007-03) "Interactive and Intelligent physical assets control system for the Risks Management of hazardous

industrial facilities" was selected as part of the ANR 2020 RA-SIOMRI Research-Action call for tenders "Innovative and operational solutions in the

control of industrial risks in urban and dense environments".

The main objective of the I2RM project (carried out in collaboration LAMIH Valenciennes and OKKO SaS) is to specify, define and prototype a Cyber

Physical System (CPS) based on the Internet of Industrial Objects (IIoT) and the Digital Twin approach (JN), to guarantee a high level of control of

technological risks in the operating conditions of an industrial installation. The objective to be achieved is the anticipation, prevention, avoidance and

alert of any critical situation that could affect goods and people, which could manifest itself in any abnormal situation on the positioning, movement and

storage of physical industrial assets (ex: product, box, pallet, container, ...) with associated potential risks, as well as their physical/informational


with other assets and other resources (forklift, AGV, ...) as well as with nearby human operators.

The scientific and technological issues are to monitor, analyze, control Object-to-Object and Object- to-Person interactions (distance, dynamics,

compatibility characteristics, security risk), proactively and reactively at the physical level of the workshop, to prevent, alarm and anticipate any

industrial accident by exploiting the methods and models of decision and distributed intelligence embedded in IoT objects attached to industrial assets, in

an architecture of intelligent agents in interaction with energy constraint. IoT objects are designed with the OKKO company. In addition, at the

informational level, thanks to a digital twin approach and multi-agents system of physical agents, it is also a question of preventing critical situations by

anticipating and learning about the movements and operations carried out on mobile assets to improve security.

The purpose of this post-doc is to contribute to the definition and prototyping of the IoT communicating architecture and embedded models at the

physical level of the workshop (Device - Edge). The missions will be to study and continue the specification and development of embedded and


decision models on interacting IoT objects (Device). The communicating objects (BLE BlueTooth Low Energy, WiFi and LoRaWAN) designed by the

OKKO company are equipped with ambient condition sensors, around an MCU architecture, and autonomous on battery. The energy constraint is an

important parameter in embedded models of decision and interaction with nearby objects.

The applicant will join a team of academic researchers and industrial engineers and must have good knowledge and experience in the field of analysis,

specification, design, and management of cyber- physical systems (CPS). The expected missions require skills in industrial computing, in embedded

computer programming with Arduino C++, and knowledge of wireless network communication methods.

The applicant will have to ensure a scientific and technological watch on the models of distributed decision and "swarm intelligence", on the Industrial

Internet of Things for the industry of the future.
IoT, Smart Object, Embedded intelligence, Distributed Decision-Making, BLE, Industrial Safety
DESIRED START DATE : September 2022 - Duration12 months

PLACE OF WORK : CRAN - Faculté des Sciences et technologies, Vandoeuvre-lès-Nancy, 54500

APPLICANT PROFILE : PhD Computer engineering, electronics and embedding computing, industrial automation and engineering
Eco-Technic systems engineering
49k¬ brut
Publications:,,    + CRAN - Publications