A System and Method of Production Line Task Allocation Based on MEC

Abstract

Industrial intelligence has a high demand for resources, edge computing has the characteristics of fast processing speed and strong privacy, it has become an important technology to promote industrial intelligence. In this paper, a task distribution system based on MEC (Multi-access Edge Computing) is built for the industrial scenario, which supports the task migration between MECs. The production line inspection module records task information in real time and provides a basis for task assignment. The perception module monitors MEC resources and task execution in real time. In order to improve the utilization rate of edge resources, the task allocation module comprehensively considers MEC status and task requirements to build the optimization model. In order to improve the optimization ability, this paper proposes an IGA (Improved Genetic Algorithm). IGA increases the MEC credibility factor in the process of gene mutation, which can ensure the diversity of the gene and improve the convergence speed, and finally realizes a reasonable allocation of production line tasks.