A data-driven home environment comfort preference modeling and control method

A home environment, data-driven technology, applied in computer control, comprehensive factory control, electrical program control, etc., can solve problems such as lack of self-learning, difficulty in meeting comfort preference modeling and control, and inability to understand and predict user needs. , to achieve the effect of ensuring effectiveness, improving the level of intelligence and personalization

Active Publication Date: 2018-11-30
SHANDONG JIANZHU UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, the existing systems for the comfort of the home environment cannot understand and predict the needs of users in the process of completing tasks, do not have the function of self-learning, and are difficult to meet the modeling and control of comfort preferences

Method used

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  • A data-driven home environment comfort preference modeling and control method
  • A data-driven home environment comfort preference modeling and control method

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] A data-driven home environment comfort preference modeling and control method, such as figure 1 shown, including the following steps:

[0043] (1): Collect N pairs of home environment comfort preference data, and perform outlier processing on the collected N pairs of home environment comfort preference data according to the Grubbs criterion;

[0044] (2): According to the home environment comfort preference data after the outlier processing in step (1), a fuzzy model of home environment comfort preference is constructed based on the rough set method;

[0045] (3): According to the fuzzy model of home environment comfort preference constructed in step (2), the home environment comfort preference is intelligently controlled based on the fuzzy control strategy.

[0046] The home environment comfort preference data in the step (1) includes personne...

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Abstract

The invention discloses a data driven home environment comfort preference modeling and control method which comprises the following steps: firstly, acquiring related home environment comfort preference data, and processing abnormal values according to Grubbs criterions, so as to ensure effectiveness of the data; secondly, on the basis of a rough set method, establishing a comfort preference fuzzy model about a home environment according to the processed comfort preference data; finally, making related fuzzy control strategies according to the comfort preference fuzzy model, thereby achieving intelligent control on home environment comfort preference, and increasing intelligence levels and personal levels of conventional smart home techniques and products.

Description

technical field [0001] The invention relates to the technical field of smart home and smart control, in particular to a data-driven home environment comfort preference modeling and control method. Background technique [0002] The indoor living environment is the basic condition to ensure the normal work, life and study of the occupants, and it is related to the health of the occupants. Due to the rapid development of social economy, people's living standards are constantly improving, and people's requirements for the comfort of living environment are also constantly improving. According to people's requirements for the living environment, it has become one of the key research topics for researchers to explore how to improve and enhance the comfort of the living environment and realize the health, comfort, intelligence and humanization of the living environment. [0003] With the development of computer technology, embedded system and network communication technology, vario...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B15/02G05B19/418
CPCY02P90/02
Inventor 李成栋丁子祥尚芳张桂青汪明
Owner SHANDONG JIANZHU UNIV
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