A temperature and humidity control method and system for smart home

By real-time monitoring and analysis of temperature, humidity and VOC concentration in smart homes, an interactive relationship model between temperature, humidity and odor is constructed, and the adjustment scheme is generated, which solves the problem that existing systems are difficult to achieve comprehensive regulation of temperature, humidity and odor, and achieves high-precision air quality management.

CN119333942BActive Publication Date: 2025-03-25SHEN ZHEN ASIA BRIGHT CO LTD
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Patent Information

Application Number
CN202411873974.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-03-25
Estimated Expiration
2044-12-19

AI Technical Summary

Technical Problem

It is difficult for existing smart home systems to achieve comprehensive and fine control of temperature, humidity and odor, resulting in the inability to effectively guarantee the comfort and health of users' living environment.

Method used

By deploying multiple sensors to monitor indoor temperature, humidity and VOC concentration in real time, identify odor components, build an interactive relationship model between temperature, humidity and odor, and generate adjustment solutions, including temperature and humidity adjustment strategies and air purification equipment activation decisions.

Benefits of technology

It realizes the accurate correlation analysis of temperature and humidity and odor, dynamically predicts the odor diffusion speed and accumulation range, and automatically generates adjustment solutions, which improves the accuracy and flexibility of air quality management and ensures the comfort and health of the user's living environment.

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Abstract

The present invention relates to the field of smart home environment control technology, and specifically to a temperature and humidity control method and system for smart home, comprising the following steps: S1: used to monitor indoor temperature, humidity and VOC concentration in the air in real time; S2: based on the VOC concentration data collected in S1, identify and analyze odor components; S3: construct a temperature, humidity and odor interaction relationship model; S4: according to the temperature, humidity and odor relationship model constructed in S3, generate an adjustment plan for the current environment; S5: according to the adjustment plan generated by S4, perform corresponding adjustment operations; S6: dynamically update and optimize the temperature, humidity and odor interaction model. The present invention, by constructing an interaction relationship model between temperature, humidity and VOC concentration, and combining adaptive optimization technology, dynamically adjusts temperature, humidity and air quality, thereby improving the accuracy of indoor odor control and the intelligent level of environmental regulation.
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