Enclosed busbar temperature monitoring management method combining hybrid optimization and fuzzy control

The invention belongs to the technical field of closed bus temperature management, and particularly relates to a closed bus temperature monitoring management method combining hybrid optimization and fuzzy control, which comprises the following steps of: randomly generating simulated closed bus temperature data with random noise, and acquiring a function curve of temperature changing along with time; calculating a mean square error and an error change rate; constructing a target function based on the mean square error and the error change rate; the mean square error and the error change rate serve as given input, and temperature control is conducted through a fuzzy controller; a self-adaptive interpolation energy valley optimization algorithm is introduced into the fuzzy controller, and optimization of the fuzzy controller is completed; and obtaining real-time temperature data of the enclosed bus through a plurality of temperature sensors installed in the enclosed bus, and carrying out temperature monitoring m