A multi-mode, low-energy indoor thermal regulation method

Abstract

The invention discloses a multi-mode, low-energy-consumption indoor heat regulation method, which utilizes various indoor heat regulation means to form a variety of heat regulation schemes, then conducts off-line prediction of indoor thermal environment parameters in each mode, and establishes the method based on a human body comfort model The input / output database can optimize the current optimal adjustment mode in real time through system identification, and the input / output database can be updated according to user feedback. The method of the invention solves the arbitrariness and blindness of the user when setting the air conditioner, and other low-energy thermal adjustment means can use air flow to compensate the body temperature, thereby increasing the set temperature value of the air conditioner or reducing the opening time of the air conditioner. While creating a comfortable and healthy indoor thermal environment, further realize the energy saving of building equipment.

Description

technical field [0001] The invention relates to the field of smart buildings, in particular to a multi-mode, low-energy-consumption indoor heat regulation method. Background technique [0002] With the rapid development of the national economy, air-conditioning equipment is rapidly popularized in people's daily life and has become the most important means of indoor heat regulation. At the same time, people's requirements for the building environment continue to increase, but the existing air-conditioning technology has the following defects: [0003] The setting of air conditioner operating parameters depends on the user's "trial adjustment". The setting process is blind and random, and it takes a long time to achieve a satisfactory indoor thermal environment; [0004] The widely used air-conditioning control method is to simply perform feedback control based on the set value (temperature), that is, only set sensors at the air-conditioning return air outlet or indoor limite...

AI Technical Summary

Problems solved by technology

[0003] The setting of air conditioner operating parameters depends on the user's "trial adjustment". The setting process is blind and random, and it takes a long time to achieve a satisfactory indoor thermal environment;

[0004] The widely used air-conditioning control method is to simply perform feedback control based on the set value (temperature), that is, only set sensors at the air-conditioning return air outlet or indoor limited positions; however, the sensing parameters are single and cannot accurately reflect the thermal environment parameters of the human activity area distribution, the indoor environment is often overheated or overcooled;

[0005] The air supply of a single air conditioner is difficult to meet the thermal comfort of the human body in a large space, and there are prone to dead air supply angles, and the existing intelligent research and patents ignore other indoor thermal adjustment methods (such as natural ventilation, mechanical ventilation, fans, etc.) , and this kind of equipment has the characteristics of low energy consumption and flexible setting, which can simultaneously create a comfortable thermal environment for the human body and realize building energy saving;

[0006] In addition, long-term use of air conditioners (split type, etc.) can easily lead to a lack of fresh air in the room, resulting in high indoor carbon dioxide concentration, which is likely to cause a system of human health problems such as "sick building syndrome"

[0007] In short, the existing air-conditioning technology has a low level of intelligence, and cannot predict and judge the thermal sensation of the human body, and cannot combine multiple thermal adjustment devices for linkage control, so that it is difficult to create a personalized, comfortable, safe and healthy indoor thermal environment. High energy consumption of equipment

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