Prediction system of comfort of sleeping product

Abstract

The invention provides a prediction system of comfort of a sleeping product. The system comprises a sleeping product thermal insulation database, a model establishing module, a model verification module, a parameterization research module, a prediction module and a recommendation module. The establishment of the system includes following steps: S1, establishing a sleeping human body comfort prediction model; S2, determining a boundary condition and substituting the boundary condition into the established model, and modifying output data until an error between experiment data and the output data is within 7%; S3, performing parameterization research; S4, obtaining a prediction system of the comfort of the sleeping product based on a chart line relation between parameters of the sleeping product, human body factors and environmental factors obtained in S3; and S5, recommending the sleeping product used in a specific environment based on the prediction system of the comfort of the sleeping product obtained in S4 to ensure the sleeping comfort of the human body. According to the prediction system of the comfort of the sleeping product, the comfort of the sleeping product can be more scientifically and accurately predicted.

Description

technical field [0001] The invention relates to the technical field of smart home, in particular to a comfort prediction system for sleep products. Background technique [0002] With the improvement of socioeconomic level and consumption level, people always want to pursue higher-level needs on the basis of satisfying the aesthetics of sleep products. Due to the Internet's publicity and popularization of the comfort and health of sleep products, as well as the improvement of people's education and cognitive levels, people are paying more and more attention to their own physical and mental conditions, which prompts people to pay more attention to sleep products. The aesthetics of sleep products are gradually shifting towards their comfort. In addition, the social pressure of high-speed operation makes most people physically tired, so it is particularly necessary to improve the comfort of sleep products to improve people's sleep quality. [0003] When consumers choose sleep ...

AI Technical Summary

Problems solved by technology

[0004] However, the existing technology mainly has the following disadvantages: the comfort of the sleep product is estimated by the thickness of the sleep product and the type and content of the filler, and there are many uncertain factors, and it is difficult to accurately judge the comfort temperature range of the sleep product.

First of all, when consumers buy products, they are often in a relatively comfortable shopping mall environment, not necessarily in the actual use environment, so it is difficult to make accurate predictions

Secondly, consumers are in an awake state when they make judgments, but they are in a sleep state when they are actually using it. The physiological state of the human body is quite different, and it is impossible to accurately predict the comfort of the product.

Finally, the actual sleeping environment is also changing dynamically, and it is difficult for consumers to predict the comfort of products

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