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Model-free control method for indoor thermal environment of elderly care buildings based on q-learning

A control method and learning model technology, applied in the field of building environment control, can solve problems such as the lack of indoor temperature control methods and the neglect of the impact on the cardiovascular health of the elderly, so as to improve the control efficiency, prevent cardiovascular diseases in the elderly, and predict accurate effect

Active Publication Date: 2022-06-24
QINGDAO TECHNOLOGICAL UNIVERSITY
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Problems solved by technology

[0008] The current elderly care buildings ignore the influence of indoor temperature on the cardiovascular health of the elderly, and lack more flexible indoor temperature control methods

Method used

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  • Model-free control method for indoor thermal environment of elderly care buildings based on q-learning
  • Model-free control method for indoor thermal environment of elderly care buildings based on q-learning
  • Model-free control method for indoor thermal environment of elderly care buildings based on q-learning

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Embodiment 1

[0061] A model-free control method for indoor thermal environment of elderly buildings based on Q-learning (the specific process is as follows: figure 2 shown), the method includes the following steps:

[0062] (1) Analyze the influencing factors of the cardiovascular health of the elderly, and determine the influencing factors related to the indoor thermal environment (the schematic diagram of the influence of the indoor thermal environment and the cardiovascular health of the elderly population is as follows: image 3 shown).

[0063] And analyze the influencing factors of indoor thermal environment, the amount of control and the amount to be controlled, that is, comfortable indoor temperature has an important impact on the cardiovascular health of the elderly.

[0064] Collection over time over time Varied building indoor thermal environment data Indoor temperature , as well as data on physiological parameters of the elderly population, including heart rate , systol...

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Abstract

The invention provides a Q-learning-based model-free control method for the indoor thermal environment of a pension building, which belongs to the technical field of building environment control. The invention uses the monitored indoor temperature of individual users and the heart rate and systolic blood pressure data of the elderly group as input data, and uses the constructed Q-learning model to output the HVAC operation control strategy of the corresponding building, which improves the control of indoor temperature Efficiency and energy efficiency of HVAC systems. Compared with the traditional control model, the reinforcement learning method based on the Q-learning principle is more accurate in predicting the cardiovascular health risk of the elderly, and can create a dynamic indoor thermal environment that is more suitable for the physiological health of the elderly.

Description

technical field [0001] The invention relates to the technical field of building environment control, in particular to a model-free control method for the indoor thermal environment of an elderly building for the improvement of cardiovascular health of elderly groups by using the principle of reinforcement learning. Background technique [0002] With the improvement of life quality and medical level, people's age is increasing, and the problem of population aging has become the focus of people's increasing attention. Studies have shown that the death of cardiovascular disease accounts for the first cause of death among urban and rural residents in my country, and hypertension is the main cause of cardiovascular disease. Exposure to ambient temperature directly affects the heat balance process of the human blood circulatory system. The elderly have reduced body heat balance management skills and a high incidence of cardiovascular and cerebrovascular diseases. According to sta...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/02
CPCF24F11/49F24F11/63G16H40/20
Inventor 李岩学许文亚顾月徐阳高伟俊
Owner QINGDAO TECHNOLOGICAL UNIVERSITY
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