Indoor Air Conditioning and Ventilation System Based on Model Predictive Control

Abstract

The invention discloses an indoor air-conditioning ventilation system based on model predictive control. The present invention is an indoor air-conditioning and ventilation system based on model predictive control, including: temperature and humidity sensor: real-time indoor temperature and humidity monitoring instrument is used to update the indoor temperature and humidity in real time, and the temperature and humidity information is mainly used to update the input parameters in the model predictive control , and can correct the temperature difference of the weather forecast data, thereby improving the accuracy of the weather forecast for the temperature and humidity prediction of the location of the air-conditioning and ventilation system; Online access to weather information includes hourly regional temperatures within 24 hours; and embedded platforms. Beneficial effects of the present invention: the control scheme of the air-conditioning and ventilation system for the indoor thermal environment has the characteristics of synergistic optimization of energy consumption and thermal comfort, high efficiency, and easy use.

Description

technical field [0001] The invention relates to the field of indoor air conditioning and ventilation, in particular to an indoor air conditioning and ventilation system based on model predictive control. Background technique [0002] The control method of the air conditioning ventilation system is closely related to the operating efficiency of the air conditioner and the change of the indoor environment. When the air conditioning control system works well, the air conditioning system should consume less electricity and provide a more comfortable environment for the room. Traditional air-conditioning control methods often pay more attention to controlling the environmental conditions within a comfortable range and ignore the energy consumption changes of the air-conditioning ventilation system. It is difficult to achieve the purpose of reducing the energy consumption of the air-conditioning system under comfortable environmental conditions. The goal. Therefore, improving th...

AI Technical Summary

Problems solved by technology

[0005] Traditional control methods such as ON / OFF (switch control) and PID (proportional-integral-derivative control) lack consideration of the energy consumption of the air-conditioning and ventilation system, and cannot achieve energy-saving operation of the air-conditioning and ventilation system under the condition of satisfying indoor comfort; traditional control methods rely on A single indoor temperature is used as input, ignoring the influence of humidity and wind speed, and lacks an accurate evaluation of indoor comfort; traditional control methods ignore the relationship between control volume and energy consumption of air conditioning and ventilation systems, and have limited optimization capabilities for energy consumption control; traditional control methods cannot integrate weather Forecast data, ignoring important information about indoor environment changes

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