Abstract
With the development and progress of society, people have higher and higher requirements for indoor high temperature and humidity environment. The traditional air conditioning system uses temperature and humidity as control parameters, which has a single control goal, low comfort, and high energy consumption. The purpose of this study is to use predicted mean vote (PMV) thermal comfort index and green building to analyze the intelligent control system of indoor environment. Our intelligent research platform is a set of “intelligent” experimental platforms. The sample data were divided into human metabolic rate, human external work, and heat resistance of clothes, temperature, and air. According to the PMV value, velocity, relative humidity, and average radiation temperature are divided into three categories, which are composed of seven parameters. According to the survey results, PMV at 24°C fluctuates around 0.5, which is an important value for human thermal comfort, and people will feel more comfortable. When the temperature reaches 26°C, the PMV index will reach 0.6 or even more than 0.6, and the human body will be in an unpleasant state due to overheating. In addition, the higher the wind speed is, the smaller the PMV value is and the stronger the cooling effect is. The higher the temperature is, the smaller the influence of wind speed on PMV value is. In other words, the sensitivity of the human body to wind speed will be reduced. In this study, the PMV index intelligent control system can adjust the indoor environment properly, and the conclusion is that the energy consumption and use effect are superior to air conditioning equipment. This research has contributed to the development of intelligent buildings.
Highlights
With the development and progress of society, people have higher and higher requirements for indoor high temperature and humidity environment. e traditional air conditioning system uses temperature and humidity as control parameters, which has a single control goal, low comfort, and high energy consumption. e purpose of this study is to use predicted mean vote (PMV) thermal comfort index and green building to analyze the intelligent control system of indoor environment
According to the PMV value, velocity, relative humidity, and average radiation temperature are divided into three categories, which are composed of seven parameters
The PMV index intelligent control system can adjust the indoor environment properly, and the conclusion is that the energy consumption and use effect are superior to air conditioning equipment. is research has contributed to the development of intelligent buildings
Summary
E essence of green building is to connect buildings and environment It provides a healthy and comfortable living environment for human beings and reduces the damage to the Earth environment and the consumption of natural resources, so as to realize the harmonious development of humans and nature. Erefore, it is necessary to comprehensively analyze the regional climate environment, cultural characteristics, and building economy to carry out the overall design. E second is the internal environment of the building, mainly referring to indoor lighting, temperature, humidity, air quality, radiation, and so on. It can be divided into seven categories: energy environment, water environment, light environment, air environment, sound environment, thermal environment, waste management, and treatment environment [22, 23]
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