Architectural Interior Design and Space Layout Optimization Method Based on VR and 5G Technology

Abstract

With the continuous optimization of the living environment, people’s requirements for its comfort and cultural taste are also constantly improving, and their understanding and requirements for the appearance and style of the building and the layout of the building space have been further deepened, thus forming a situation of diversification and diversification of the style and form of the architectural appearance and interior design. There are a lot of layout problems in modern engineering and real life, and the indoor space layout is a very important branch. The indoor space layout focuses on the indoor scenes that people rely on for production and life. At the same time, indoor scene models are gradually applied to more and more fields. The urgent need for indoor scene modeling has also led to relevant research on indoor space layout. Because of its wide application prospects and great commercial value, indoor space layout has become an important research topic in the field of computer graphics and computer vision. As the computer-aided design is widely used in the field of intelligent design, indoor space layout has also become an important research field. Focusing on the automatic design and optimization of indoor space layout, this paper proposes an optimization method based on design constraints for the automatic generation of a layout plan based on the given layout boundary or layout space. The room units in the interior space layout are represented by polygons composed of multiple rectangles, and the constraints and rules in the layout design are transformed into constraints on related rectangles. Experimental results show that our scene redirection method is effective. Comparing with the results of uniform scaling further proves the effectiveness of our redirection algorithm.

A Deep Reinforcement Learning Model-based Optimization Method for Graphic Design

“…This section examines the existing methods like MDP (Ran & Dong, 2022), VR (Wu, 2022), and AI (Di & Yu, 2021) with time consumption, accuracy prediction, precision value, and the recall factor by comparing with our recommended strategy. Python 3.7 is used to implement the models for accurate selections.…”

“…The scene redirection solution has successfully been tested, according to the findings. The study used a redirection algorithm's efficacy which is shown by comparison with the outcomes of uniform scaling(Wu, 2022). The study case simulated two reinforcement learning agents in a cooperative learning setting to discover the ideal 3D layout for the Markov decision process (MDP) formulation.…”

Effective measures to bolster the deployment of indoor environmental quality (IEQ) principles in building design: a focus on quantity surveying (QS) firms in Nigeria

“…For instance, the organization of indoor spaces within buildings plays a fundamental role in shaping IEQ. Research in this area emphasizes the significance of spatial layout, room arrangement and the efficient utilization of space (Wu, 2022). A well-organized indoor space not only enhances functionality but also influences factors such as ventilation and natural lighting.…”

“…Moreover, considerations such as privacy, acoustics and access to natural light influence the comfort and satisfaction of building occupants. Thus, designing spaces that offer adequate privacy, minimize noise disturbances and provide access to daylight contribute to a positive IEQ and foster occupant well-being (Wu, 2022). Supporting facilities and amenities within buildings, such as restrooms, break areas and recreational spaces, are also integral to enhancing IEQ (Ikuabe et al, 2021).…”

Obstacles shape the way we walk at home

“…The pursuit of improved comfort in living environments has led to a diverse range of architectural styles and interior designs (Wu, 2022). Presently, optimizing interior spaces, including comfort, lighting, aesthetics, and layout, has become a significant research focus, necessitating a human-centric approach.…”