Research on virtual maintenance environment layout planning method based on computer ant colony algorithm

Jintao Cai

doi:10.1117/12.3011789

7 December 2023 Research on virtual maintenance environment layout planning method based on computer ant colony algorithm

Jintao Cai

Author Affiliations +

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294128 (2023) https://doi.org/10.1117/12.3011789
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

This paper investigates a layout planning method for virtual maintenance environments based on the computer ant colony algorithm, incorporating the regularities of human perception psychological activities. Through in-depth research on the ant colony algorithm and human perceptual psychology, we propose a layout planning method based on the computer ant colony algorithm to enhance the effectiveness and quality of layout planning. We put forward two key observations: firstly, the principles of human perceptual psychology play a crucial role in the visualizable and comprehensibility of layouts; secondly, the ant colony algorithm can simulate the cooperative and rational reasoning processes in human perceptual psychology, thereby optimizing the decision-making process in layout planning. To validate our method, we analyze the impact of spatial perceptual experience and sensory systems and establish a two-dimensional layout mathematical model. The ant colony algorithm is used for optimizing layout solutions. Through case analysis and experimental verification, the effectiveness of this method is demonstrated. The proposed method can improve work efficiency in the layout planning of virtual maintenance environments and provide a good spatial experience for maintenance work. Furthermore, future research directions are proposed, such as further exploring the regularities of other perception psychological activities to improve the quality and effectiveness of layout planning. This study has guiding significance for promoting the development of virtual maintenance environments.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jintao Cai "Research on virtual maintenance environment layout planning method based on computer ant colony algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294128 (7 December 2023); https://doi.org/10.1117/12.3011789

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KEYWORDS

Virtual reality

Design and modelling

Mathematical modeling

3D modeling

Computer simulations

Environmental sensing

Mathematical optimization

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