Virtual Simulation System-Driven Optimization Approach for Architectural Environmental Art Design

This study addresses the challenge in architectural design where the accurate conveyance of artistic elements is often hindered by limitations in visualizing the building's layout and form. By employing virtual simulation technology, it enables a more realistic reproduction of a building's structural aspects, facilitating a comprehensive understanding of its design. Coupled with big data analytics, this approach aids in extracting architectural characteristics, enhancing the link between buildings and their intended artistic expressions. The integration of VR technology and ACNN algorithms has demonstrated significant potential, with VR effectively communicating the building's holistic features and ACNN showing strong predictive capabilities in anticipating layout, form, and pattern designs. Consequently, this research underscores the synergistic benefits of VR and ACNN technologies in enhancing the precision and creativity of architectural art design processes.