In the traditional architectural design process, there is a lack of quantifiable basic data in the scheme design stage. The design and analysis of MEP systems (such as hydrant systems) are usually delayed until the preliminary design or the early stage of construction drawings. The inconsistent progress among various disciplines has led to a large amount of rework and modification during the construction drawing design stage. Especially in the design of super high-rise buildings, the options for hydrant systems schemes are diverse. If sufficient technical comparison and in-depth argumentation are not carried out in the scheme stage, it is easy to cause problems such as insufficient system compatibility, poor operational convenience, and unreasonable economy. However, due to the tight design cycle, designers often can only rely on engineering experience to select common solutions, lacking systematic evaluation. Therefore, this study proposes a data-driven design workflow for building hydrant systems. In the early stage of design, it fully utilizes building information data and combines programmic tools to achieve rapid generation of hydrant systems schemes, multi-scheme comparison and technical verification, thereby improving the quality and efficiency of the design.