A prediction system for the comfort of sleep products

Abstract

The invention provides a sleep product comfort prediction system, which includes a sleep product warmth retention database, a model building module, a model verification module, a parameterized research module, a prediction module and a recommendation module. The establishment of the system includes the following steps: S1: Establish a sleep comfort prediction model; S2: Determine the boundary conditions and substitute into the established model, modify the output data until the error between the experimental data and the output data is within 7%; S3 : Parametric research; S4: Based on S3, obtain the graph-line relationship among sleep product parameters, human factors, and environmental factors, and obtain a sleep product comfort prediction system; S5: Based on S4, obtain a sleep product comfort prediction system The prediction system recommends sleep products used in a specific environment to ensure the comfort of human sleep. The comfort prediction system of the sleep product provided by the invention can predict the comfort of the sleep product more scientifically and accurately.

Description

technical field [0001] The invention relates to the technical field of smart home, in particular to a system for predicting the comfort of sleep products. Background technique [0002] With the improvement of social and economic 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 publicity and popularization of the comfort and health of sleep products on the Internet, as well as the improvement of people's education level and cognitive level, people are paying more and more attention to their physical and mental conditions, which has prompted people to pay more attention to their own physical and mental conditions. The aesthetics of sleep products are gradually shifting to their comfort. In addition, the social pressure of high-speed operation makes most people physically tired, and it is particularly necessary to improve the comfort of sleep products to improve people's sleep q...

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

Images