Construction method for temperature and humidity coupling accelerated storage test model on the basis of sine-cosine function

Abstract

The invention provides a construction method for temperature and humidity coupling accelerated storage test model on the basis of a sine-cosine function. The method comprises the following steps that:1: constructing a natural environment temperature-moisture-time test sine-cosine function; S2: constructing an accelerated storage test curve; and S3: according to the temperature-moisture-time function in S1 and S2, utilizing a temperature and humidity coupling rule function model to determine accelerated storage test time, and according to the constructed accelerated storage test curve and theaccelerated storage test time, carrying out the accelerated storage test. By use of the method, the accelerated storage test and a natural storage test can exhibit good correlation, so that the evaluation result of the accelerated storage test and the result of the natural environment storage test are almost consistent, in addition, a test process can be quickened, a test period is effectively shortened, test efficiency is improved, and the method is suitable for quickly evaluating long-term natural storage products.

Description

technical field [0001] The invention belongs to the field of environmental tests, in particular to a method for constructing a temperature-humidity coupled accelerated storage test model based on string functions. Background technique [0002] In the field of environmental testing, simulating the laws of the natural environment and intensifying environmental factors are the key testing techniques for stored products. The ideal condition of this testing technique is to preserve the changing characteristics of the natural storage test environment and ensure that the accelerated test is consistent with natural storage. There is a good correlation between them, and it is necessary to speed up the test process, shorten the test cycle, and improve the test efficiency. [0003] At present, there are mainly two types of storage test methods for products stored in warehouses, one is to carry out intensive accelerated tests for the artificially specified single standard storage enviro...

AI Technical Summary

Problems solved by technology

Although the former can obtain test results in a relatively short period of time, because it only strengthens a single constant condition test, it cannot truly and effectively simulate the comprehensive effect of various climate types of warehouse environmental factors, especially the performance of products caused by changes in temperature and humidity. Degradation can easily lead to under-testing, resulting in a large deviation between the test results and the actual results; and the latter requires a long test time for on-site natural storage tests, and the test efficiency is low, especially for storage tests with quarterly or annual periods or cycles. In other words, longer test time and lower test efficiency are its fatal shortcomings

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