The invention relates to the technical field of industrial control, and discloses a fault-tolerant water-cooling
refrigeration station system optimization control method based on a
large model, and the method comprises the steps: firstly building a
pipe network hydraulic resistance topological model, traversing all single-
pipe failure working conditions to calculate the equivalent hydraulic impedance from a cold source to a
tail end, and carrying out the fault-tolerant control of the
pipe network hydraulic resistance topological model; an impedance value under the most unfavorable working condition is extracted to construct a fault-tolerant hydraulic
bottleneck parameter set; then, the parameter set is mapped into a whole
network topology constraint vector, and the whole
network topology constraint vector is combined with real-time flow data to be input into a pre-trained
time sequence attention neural
network model; the model fuses topological constraints into
time sequence deduction by using an attention mechanism, and directly predicts a
water supply and return
pressure difference set value meeting a potential fault safety boundary. According to the method, the problem of
system paralysis caused by insufficient
safety margin when a pipe network suddenly breaks down in a traditional control strategy is effectively solved, and the continuity of key load cooling and the economical efficiency of
system operation are guaranteed.