Multi-mode and low-energy-consumption indoor heat adjusting method

Abstract

The invention discloses a multi-mode and low-energy-consumption indoor heat adjusting method. By using each indoor heating adjusting mode, a plurality of thermal regulation schemes are formed, indoorthermal environment parameters in each mode are subjected to off-line prediction, an input / output database is built according to a human body comfort model, a current optimal adjustment mode is preferably selected in real time through system identification, and the input / output database is updated according to user feedback. According to the method, the problems of randomness and blindness of a user when an air conditioner is set are solved, the temperature of the body sensing temperature can be compensated by other low-energy-consumption heat adjusting means by means of air flow, the set temperature value of the air conditioner is increased or the opening time of the air conditioner is shortened, and the energy-saving and environment-friendly effects of building equipment are further realized while a comfortable and healthy indoor heat environment is created.

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

Images