PostDoc Project
Title:
Distributed intelligence and interactions between energy constrained industrial IoT devices in an Edge IoT architecture
Dates:
2022/09/01 - 2023/08/31
Supervisor(s):
Description:
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
interactions
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
distributed
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.
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
interactions
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
distributed
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.
Keywords:
IoT, Smart Object, Embedded intelligence, Distributed Decision-Making, BLE, Industrial Safety
Conditions:
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
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
Department(s):
| Eco-Technic systems engineering |
Funds:
49k¬ brut
Publications:
doi.org/10.1016/j.icte.2017.12.005,doi.org/10.1504/IJICT.2018.095049,doi.org/10.1177/1063293X1667250 + CRAN - Publications
