The application belongs to the technical field of
computing center building design, and specifically discloses a scalable modular
computing center building design method, which comprises the following steps: determining the overall structure of the
computing center building, introducing a building space adaptability coefficient, and evaluating the adaptability of the space to the computing equipment and the
liquid cooling system; performing module division and
assembly deployment based on a module expansion potential coefficient, optimizing building arrangement and infrastructure by using a network
transmission loss coefficient; constructing a composite heat dissipation
system, adopting a multi-stage
waste heat recovery structure to improve energy utilization efficiency; deploying dynamic environment
safety monitoring nodes, and realizing safety
hazard detection and dynamic evaluation by combining a
risk quantification algorithm; building a centralized control platform to adaptively adjust the operating state of each module; realizing
rapid expansion through the assembled module, and evaluating the expansion scheme by using an expansion cost and cycle model. The application realizes the quantitative optimization of the computing center in multiple dimensions such as time, cost and efficiency, and is suitable for the construction and upgrading of various
artificial intelligence computing centers.