For the overall equipment management system, the database serves as the cornerstone of the smart factory system and the core of the entire equipment management framework. Therefore, the design of the database is of great importance, and it is carried out from the following aspects.

Conceptual and logical structure design. By analyzing and abstracting user requirements, a conceptual model is formed, also known as an Entity-Relationship Diagram (ERD), which illustrates the entities, entity attributes, and relationships among entities in the smart factory database. The relationships between entities are one-to-one, one-to-many, and many-to-many. Through comprehensive analysis, the system entities are identified, including: Equipment Ledger, Maintenance Records, Operation Information, Service Records, and Maintenance Personnel. Each entity possesses multiple attributes.

Physical structure design. This involves designing the data storage method and structure based on the specific circumstances of the smart factory construction. The information stored using database table structures includes: Equipment Ledger information, Operation Information, Maintenance Records, Service Records, and User Information.

The Equipment Status Monitoring System developed by Alps System Integration (Dalian) Co., Ltd. helps enterprises establish the database for their management systems. From the collection layer to the service layer and then to the presentation layer, it generates production information statistics in real time, displaying data such as fault statistics and predictions, maintenance plans, and spare parts analysis at any time, facilitating enterprise management and coordination.

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