Neural computing thermal comfort index PMV for the indoor environment intelligent control system

2013 ◽  
Author(s):  
Chang Liu ◽  
Yifei Chen
Keyword(s):  
Control System ◽  
Thermal Comfort ◽  
Intelligent Control ◽  
Indoor Environment ◽  
Neural Computing ◽  
Comfort Index ◽  
Intelligent Control System

scholarly journals Indoor Environment Intelligent Control System of Green Building Based on PMV Index

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tiandong Shao
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Wind Speed ◽  
Thermal Comfort ◽  
Intelligent Control ◽  
Human Body ◽  
Air Conditioning ◽  
Indoor Environment ◽  
Green Building ◽  
Intelligent Control System

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.

Construction Research of Indoor Environment Intelligent Control System Based on MAS

2011 ◽  
Vol 71-78 ◽  
pp. 494-497 ◽  
Author(s):  
Wei Zheng ◽  
Yi Fei Chen
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Indoor Environment ◽  
Comfort Index ◽  
Intelligent Control System ◽  
Task Distribution ◽  
Environment Control ◽  
Cooperation Strategy ◽  
Multi Agent ◽  
Environment Parameters

Strictly speaking, the indoor environment intelligent control system can not only detect the parameters of indoor environment, the state of every equipment, but also adjust indoor environment automatically in order to achieve the most comfortable indoor environment under condition of saving energy. Based on thermal comfort index PMV, we have constructed the MAS (Multi-Agent System) for indoor environment control with Zigbee network technology after the deeply research on the decoupling of the environment parameters. In this paper, main researching contents have been discussed like the cooperation strategy in the MAS, proposed a cooperation strategy based on the task distribution, which decreased the communication and enhanced problem solving efficiency.

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