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

Authors: Yulong Wan; Xinchun Li

Addresses: School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China; School of Business, Jiangsu Vocational College of Electronics and Information, Huai'an 223003, China ' School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China

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.

Keywords: compartment thermal insulation material; life prediction; gradient descent method; residual life prediction model.

DOI: 10.1504/IJMPT.2023.127962

International Journal of Materials and Product Technology, 2023 Vol.66 No.1, pp.56 - 69

Received: 03 Nov 2021
Accepted: 14 Mar 2022
Published online: 22 Dec 2022 *