IoT-Based Distributed Simulation of Industrial Automation Production Line Management

Abstract

The IoT maximizes the information and intelligence of large-scale producers, and greatly improves the supervision quality and efficiency of production lines. Existing research fails to use modern logistics simulation for distributed simulation, verification and analysis of industrial automated production line management (IAPLM). Thus, this paper studies the distributed simulation of IoT-based IAPLM. The time domain, component information and other elements are introduced into the distributed Petri network model to realize the optimization of the logic model of the industrial automation production line. The key points of distributed simulation design of IAPLM are introduced in detail, and the timing design of the production process, the mapping of logical model to distributed simulation platform, the structured processing of models, and the construction of simulation strategies for production equipment control are completed. Experimental results verify the effectiveness of the proposed model.

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