Research on Temperature Environment Model of Cabin under Different Storage Conditions Based on Nonlinear Transfer

LI Hongmin; FENG Jiaming; HUANG Shuo; RONG Shuanglong; ZHANG Shengpeng; QIAN Cheng

doi:10.7643/issn.1672-9242.2026.07.006

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Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (7) : 54-62. DOI: 10.7643/issn.1672-9242.2026.07.006

Weapons Equipment

Research on Temperature Environment Model of Cabin under Different Storage Conditions Based on Nonlinear Transfer

LI Hongmin^1,2, FENG Jiaming^2,*, HUANG Shuo², RONG Shuanglong², ZHANG Shengpeng^1,2, QIAN Cheng¹

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Abstract

The work aims to establish a temperature environment model for the cabin under different storage conditions based on nonlinear transfer to deal with the issue that accurate creep life evaluation of a cabin under different storage conditions requires precise temperature field data inside the cabin, but the sealed structure makes direct internal temperature measurement difficult, and the internal temperature lags behind external environmental changes. Oriented to the environmental profile of different storage scenarios, a high-precision finite element simulation model of the whole equipment was developed. A user-defined function (UDF) was implemented to comprehensively consider the effects of ambient temperature and solar radiation. Based on the time-series data of the internal temperature predicted by simulation, the Fourier-ARIMA method combined with dynamic re-estimation was employed to perform time-series prediction of the internal temperature. Regarding internal and external temperatures of the cabin: during warehouse storage, the internal temperature was generally consistent with the warehouse environment; under outdoor environments, solar radiation significantly increased the temperature difference between the interior and exterior, reaching a maximum of 23.3 ℃. Regarding model accuracy: the maximum relative error in mapping from external temperature time-series prediction to the internal temperature field was 15.3%; the proposed Fourier-ARIMA with dynamic updating model achieved higher accuracy than traditional methods, with a root mean square error (RMSE) of 3.458 6. The proposed model effectively solves the difficulty of lacking a dynamic modeling method for the internal temperature environment of a cabin under different storage conditions, realizes nonlinear mapping and time-series prediction from external to internal temperature, and can provide critical environmental input for accurate creep life assessment of the cabin.

Key words

cabin / storage environment / temperature environment model / nonlinear transfer / simulation prediction / time-series forecasting

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LI Hongmin, FENG Jiaming, HUANG Shuo, RONG Shuanglong, ZHANG Shengpeng, QIAN Cheng. Research on Temperature Environment Model of Cabin under Different Storage Conditions Based on Nonlinear Transfer[J]. Equipment Environmental Engineering. 2026, 23(7): 54-62 https://doi.org/10.7643/issn.1672-9242.2026.07.006

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