Residual life prediction of thermal insulation material for cold chain logistics transportation vehicle

Abstract

Aiming at the problems of low prediction accuracy and long prediction time cost in traditional methods, a residual life prediction method of thermal insulation material for cold chain logistics transportation vehicle is proposed. The distribution position of thermal insulation material in the car body is analysed. According to the distribution position of thermal insulation materials, the life prediction parameters of thermal insulation material are calculated. According to the determined parameters, the key degree of thermal insulation material is calculated by gradient descent method. So as to construct the residual life prediction model of cold chain logistics transport vehicle compartment thermal insulation material, the key parameters of thermal insulation material is taken as the input, and the residual life prediction results of compartment thermal insulation material as the output. Experimental results show that the prediction accuracy of the proposed method is about 97% when 100 times, and the shortest time cost is about 0.5 s.