The operating mode of the traditional manufacturing industry is "design-manufacture-test-operate". With the development of virtual reality technology and 3D modeling technology, 3D modeling software can be used to build 1:1 models before traditional assembly operations. Combine VR technology to simulate the assembly process of physical objects. By applying collision detection technology to predict the feasibility of the assembly path in the virtual assembly process, experts can exchange professional knowledge more immersively and intuitively in the virtual environment, and predict design defects. This has become a hot spot for enterprises and research institutes. Based on this, this paper studies the ship block assembly simulation based on VR technology. This article uses modeling software to construct the 3D model required for assembly simulation, and imports the model into the virtual reality development software to build a virtual manufacturing scene; then the digital prototype ship model constructed by professional ship design software is delivered in segments The details are optimized in the 3D modeling software to turn it into a realistic simulation model and imported into the virtual reality development software. This paper establishes the model of work shift formation and assignment model of work shift group. Then, the genetic algorithm that is often used to solve the problem of shop scheduling is improved, and a solution method based on the adaptive simulated annealing genetic algorithm is proposed for the fixed object pipeline model. In this paper, the Petri net model is used to study the problem of the scheduling machine failure of the hybrid flow shop, and the Petri net-based simulation model is established by using the dynamic simulation characteristics of the Petri net. Experimental research shows that the maximum completion time obtained by using the improved accelerated particle swarm algorithm is 20 hours. The improved accelerated particle swarm algorithm proposed in this paper has better convergence than the standard particle swarm algorithm and accelerated particle swarm algorithm.

Zhichang Liu and Chengbao Zhong. Production Planning and Scheduling Assembly Simulation Based on VR Technology. International Journal of Multimedia Computing (2022), Vol. 3, Issue 3: 1-13. https://doi.org/10.38007/IJMC.2022.030301.

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