The invention discloses a rack
cold plate magneto-rheological flow channel edge AI cooperative heat dissipation control method and device, and relates to the technical field of
cold plate heat dissipation control. The invention discloses a rack
cold plate magnetorheological flow channel edge AI collaborative heat dissipation control method and device, and the method comprises the steps: S1, collecting edge
thermal control state data, and carrying out the preprocessing of the edge
thermal control state data; s2, identifying a
thermal variation unit, constructing a
thermal load cluster, evaluating a cooling regulation priority of the
thermal variation unit, and generating a
thermal load space partition; s3, constructing a high thermal response unit set, evaluating the
magneto-rheological regulation response intensity of the high thermal response units, and generating regional regulation strategies in a grading manner; s4, driving
microstructure deformation, electromagnetic excitation and flow regulation; and after execution, evaluating the regulation response
hysteresis, and if the
hysteresis exceeds the standard, correcting the control instruction and re-driving the execution. The problems that heat dissipation is uneven and cooling resources are wasted due to the fact that a traditional structure cannot dynamically regulate and
control flow and
thermal resistance under severe fluctuation of
chip thermal load are solved.