Visual Characteristics in Interior Lighting Design Based on Environmental Perception Algorithms
摘要
Traditional artificial lighting designs often adopt fixed modes, which cannot adapt to changes in the environment and the needs of users. This may waste energy or result in poor lighting effects. This article is based on environmental perception algorithms and explores how to use them to optimize indoor lighting design, improve indoor environmental comfort and energy utilization efficiency. This article uses environmental perception algorithms to perceive factors such as light intensity, temperature, and humidity in the surrounding environment, and intelligently adjust the state of the lighting system. When the surrounding environment becomes dim, intelligent lighting design can automatically adjust the brightness in low light conditions, providing users with sufficient lighting. When the indoor temperature rises, the lighting design can be adjusted to a lower color temperature, giving people a cool feeling. The application of intelligent lighting design makes it more intelligent and can be adjusted in a timely manner according to changes in the surrounding environment. The proportion of users who feel very comfortable in family, hospital, school, market, and office scenes under normal indoor lighting design is within 15%, while the proportion of users who feel very comfortable in family, hospital, school, market, and office scenes under indoor lighting design based on environmental perception algorithm is above 30%. The results of this article can provide a new approach for indoor lighting design and apply it to indoor lighting design, which is of great significance for improving indoor comfort and reducing energy consumption.