This invention discloses a modular
data center container collaborative communication method and
system, including receiving uploaded 3D drawings, identifying container categories and constructing digital twin models; collecting data from each container in real time, and updating the state of the digital twin model in real
time based on the container data; predicting the future state of the container based on the real-time updated digital twin model; performing
global optimization adjustments based on the container category and the predicted future state; issuing and executing
global optimization commands, and repeating the above steps. The
system includes a central digital twin
system,
edge computing nodes deployed in each container, and a communication network. By constructing a global digital twin model and combining it with a
model predictive control framework, this invention achieves advanced prediction of IT load and cooling demand, as well as multi-objective
global optimization scheduling, effectively solving the problems of control
lag and low energy efficiency in existing container systems, and improving the overall
operational energy efficiency and security of modular data centers.