Operational approach for modeling and simulation of an industrial process

Seddari, Noureddine; Redjimi, Mohammed; Benoudina, Lazhar

doi:10.1109/iccat.2013.6522031

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Our research team has conducted many similar projects by using different approaches (MAS, DEVS, etc.) (Seddari et al, 2013a;2013b;2015;2021) The operating principle of the dehydration system is based on the use of three molecular sieve bed dryers: the first one is in adsorption mode, the second is on stand-by (waiting) and the third is in regeneration.…”

Section: Use Casementioning

confidence: 99%

Agent-Based Modeling And Simulation Of Dehydration Process

Seddari¹,

Hamioud²,

Bouras³

et al. 2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

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Agent-based modeling and simulation (ABMS) is a new approach to modeling autonomous systems and interacting agents. This method is becoming more and more popular for its efficiency and simplicity. It constitutes an approach in the field of modeling complex systems. Indeed, ABMS offers, contrary to other types of simulations, the possibility of directly representing the simulated entities, their behaviors, and their interactions without having to recourse to mathematical equations. This work is a contribution in this sense, the goal is to propose an agent-based model to simulate an industrial system. The latter presents the problem of complexity, which can be mastered with the Multi-Agent Systems (MAS) approach. Our model is validated by a case study of the natural gas dehydration process. The latter is consolidated by a simulation made in the multi-agent platform JADE (Java Agent DEvelopment Framework).

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Section: Use Casementioning

confidence: 99%

Agent-Based Modeling And Simulation Of Dehydration Process

Seddari¹,

Hamioud²,

Bouras³

et al. 2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

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“…The role is abstract representation of an agent function, service or identification within a group. Each role handled by an agent is local to a group [17][18][19][20]. Figure 1 represents the diagram of AGR model.…”

Section: Agr Modelmentioning

confidence: 99%

A DEVS/MAS-Based Framework for Modeling/Simulation of Complex Systems

Seddari

Redjimi

Belaoued

2020

Advances in Intelligent Systems and Computing

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This paper presents an approach for modeling and simulation of complex systems. This approach is based on the decomposition of the considered systems into sub-systems which appear on two levels: On the lower level; the decomposition concerns the division of a global system into atomic and coupled models based on DEVS formalism (Discrete Event Systems Specification). The system components are then represented using the DEVS mathematical equations. This step allows the formal system checking. At the higher lever, the implementation of the obtained DEVS models is realized using Multi-Agents Systems (MAS) based on Agent/Role/Group (AGR). Moreover, a set of procedures and functions permitting to transform DEVS to MAS models are defined and implemented. The main advantages of this approach are its adaptability for various domains, its flexibility (easy to implement), its extensibility (adding new components). A version of this work will be implemented using a functional extension of the Multi Agent Development KIT platform (MAD-KIT).

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“…Our implementation concerns the simulation of an industrial regulation system (Steam Generator) used in industrial petroleum process [50][51]. In this section, we will show this process.…”

Section: Simulated Industrial Systemmentioning

confidence: 99%

Using of DEVS and MAS Tools for Modeling and Simulation of an Industrial Steam Generator

Seddari

Redjimi

Boukelkoul

2014

CIT

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Complex systems are made of many elementary components in interaction. To model such systems, it is generally more convenient to decompose them into subsystems that are simpler to handle. This new division is to be made in a methodical way, by identification and complete definition of the various structures, actions and interactions of those sub-systems. In this work, the decomposition of the overall system into sub-systems is based primarily on the use of the Discrete EVent System Specification (DEVS) formalism. The obtained atomic and coupled models are formally verified and validated. Then, we use the Multi-agent Development KIT (MAD-KIT) Multi Agent Systems (MAS) operational tools to implement an industrial simulator. This simulator is used by beginner operators in the petroleum field to ameliorate the process of training and learning without stopping the real processes. The advantage of this approach is its adaptability as well as its possibilities of extension (addition of new functionalities). Moreover, the decomposition into sub-systems reduces significantly the complexity of the elements being implemented and therefore, allows a great modularity and a better legibility to the system. Our work is realised in collaboration with the production department of natural gas liquefaction (GL1/K Skikda), one of the principal hydrocarbons poles from SONATRACH complex in Algeria.

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Operational approach for modeling and simulation of an industrial process

Cited by 3 publications

References 3 publications

Agent-Based Modeling And Simulation Of Dehydration Process

Agent-Based Modeling And Simulation Of Dehydration Process

A DEVS/MAS-Based Framework for Modeling/Simulation of Complex Systems

Using of DEVS and MAS Tools for Modeling and Simulation of an Industrial Steam Generator

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