Abstract: Building design involves a wide variety and complex specifications of mechanical and electrical equipment. Significant differences in parameter definitions and data formats among equipment from different manufacturers make it difficult for designers to quickly and accurately obtain and integrate the required equipment information when using BIM software. The purpose of this study is to solve the problems of difficult data acquisition and low design efficiency caused by many types of equipment and inconsistent parameters and formats when design institutes use BIM software. This paper focuses on the standardization system of equipment database integrated with domestic self-developed BIM software and large AI model. Firstly, by investigating domestic and international equipment documentation, design institutes' data requirements, and industry standards, the pain points in current equipment data management and the areas lacking standardization are identified. Secondly, a standardized equipment database system is constructed, covering data classification and coding, parameter definitions, associated models, and update mechanisms. Leveraging the data capture and categorization capabilities of large AI models, the system is endowed with the ability to select optimal equipment parameters. Supporting software interfacing with the database is developed to enable real-time data interaction. The research results show that this system can achieve accurate integration of equipment information and interdisciplinary collaborative design, improving design efficiency by over 30% and design quality by over 5%. The proposed method provides support for the digital transformation of the design industry.