One-Click Quotation System and Method for Online Customization of Door Furniture

Abstract

Aiming at the problems of complex wiring, significant voltage drop, uneven brightness and insufficient intelligent adjustment of low-voltage LED lamps in customized home scenes, this paper proposes a customized home lighting adaptive adjustment management method based on artificial intelligence and big data, and designs a complete implementation system. The system takes the user 's house decoration map and the lamp belt installation parameters as input, constructs the lighting demand analysis model and the lamp belt wiring optimization model, and completes the lighting strength area determination, converter number optimization and installation position planning through the artificial intelligence algorithm. Under the premise of significantly reducing the influence of voltage drop, the number of converters used is minimized. In addition, the system is also equipped with an environment-aware sensor, and a periodic closed-loop brightness adjustment algorithm is used to achieve adaptive matching of light brightness and illumination in different scenarios. The simulation results show that the proposed method can improve the brightness uniformity of the lamp belt by 28.7 %, reduce the number of converter configurations by 32.4 % on average, and the adaptive adjustment response time is less than 0.6 s. It can effectively solve the pain points of low-voltage lamp belt engineering application and improve the intelligence and practicability of customized home lighting system.