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Model-free control method for indoor thermal environment of pension building based on Q learning

A control method and learning model technology, applied in the field of building environment control, can solve problems such as ignoring the impact of the cardiovascular health of the elderly and lack of indoor temperature control methods, so as to prevent cardiovascular diseases in the elderly, improve regulation efficiency, and improve thermal stability. The effect of comfort

Active Publication Date: 2022-04-15
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 pension building based on Q learning
  • Model-free control method for indoor thermal environment of pension building based on Q learning
  • Model-free control method for indoor thermal environment of pension building based on Q learning

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Embodiment 1

[0061] A model-free control method for the indoor thermal environment of elderly care 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 associated with the indoor thermal environment (the impact of the indoor thermal environment on the cardiovascular health of the elderly population is as follows: image 3 shown).

[0063] In addition, among the influencing factors of the indoor thermal environment, the control amount and the controlled amount that are easy to realize are analyzed, that is, the comfortable indoor temperature has an important impact on the cardiovascular health of the elderly.

[0064] collection over time Changing Building Indoor Thermal Environment Data Indoor Temperature , as well as data on physiological parameters of the elderly population, including h...

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Abstract

The invention provides a model-free control method for an indoor thermal environment of a pension building based on Q learning, and belongs to the technical field of building environment control. According to the method, the monitored indoor temperature of the individual user and the heart rate and systolic pressure data of the elderly are used as input data, the built Q learning model is used, the operation regulation and control strategy of the heating ventilation air conditioner of the corresponding building is output, and the regulation and control efficiency of the indoor temperature and the energy efficiency of the heating ventilation air conditioner system are improved. Compared with a traditional control model, the reinforcement learning method based on the Q learning principle is more accurate in anticipation of cardiovascular health risks of the old people, and a dynamic indoor thermal environment more suitable for physiological health of the old people can be created.

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 elderly care buildings for improving the cardiovascular health of elderly groups by using the principle of reinforcement learning. Background technique [0002] With the improvement of the quality of life and the level of medical care, people's age continues to grow, 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 high blood pressure is the main cause of cardiovascular disease. Exposure to ambient temperature directly affects the heat balance process of the human blood circulation system, the elderly's body heat balance management skills are reduced, and the incidence of cardiovascular and cerebrovascular ...

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Application Information

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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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