Design Model of Intelligent Lighting Detection Database for Bmob Backend Cloud

Aiming at the problem that inappropriate light environment has a subtle negative impact on people's life and is difficult to be detected by naked eyes, this paper designs and implements the Bmob back-end cloud intelligent lighting detection database design model. The content mainly involves cloud platform, database and data visualization. First, the overall architecture of the model is introduced, including the data layer, component layer, business layer, and application layer. Secondly, it focuses on the design of the cloud data table of the system. Through the design of these data tables, the intelligent lighting detection system can better transmit data and extract data from the cloud database, which provides a guarantee for the system's data query and display. Finally, the actual measurement of the database model lamps verifies the rationality of the database model design, as well as its logical relevance in the design of some corresponding module data tables in the Bmob cloud database, which provides reference for the database design of intelligent lighting detection related system.