Abstract: Under the background of digital transformation in the construction industry, traditional architectural and MEP professional design faces issues such as poor data interaction and insufficient collaboration, which restrict the design efficiency and intelligence level of HVAC systems. This study focuses on data-driven generative design for HVAC systems, which realizes the automatic generation of equipment and pipelines, and the intelligent matching of space routing and building requirements. This study combs the cross-professional data interaction logic of HVAC and architectural design, and constructs a standardized data template. Based on the domestic self-developed software EasyBIM and database technology, the building geometry information and HVAC equipment parameters are integrated to support digital design generation. Through the development of path finding algorithm and pipeline generation tool, the intelligent calculation and space occupation detection of pipeline path are realized. This study makes breakthroughs in four aspects: data standardization, structured storage, domestic tool adaptation and design closed-loop construction. Finally, a 'data acquisition-data integration-intelligent generation-scheme optimization' generative design system of HVAC system is formed, which provides theoretical and technical support for the intelligent design of building electromechanical system.