Design of the Temperature Control System for Tobacco Leaf Redrying

2013 ◽  
Vol 312 ◽  
pp. 690-693
Author(s):  
Yu Mei Liao
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Air Conditioning ◽  
Environmental Parameters ◽  
Simple Calculation ◽  
Stability Control ◽  
Temperature Control System ◽  
Framework Structure ◽  
Intelligent Control System ◽  
Actual Operation

The development of intelligent control system based on environmental parameters tobacco redrying. The use of the FNN neural network to determine the temperature and humidity of the air conditioning units running time, on this basis, the paper presents an improved network of four framework structure. The model has a simple calculation; each layer of the network the derivation are obvious physical meaning, stability control safety and energy conservation in the actual operation.

Design and Analysis of Office Air Conditioning System of Distributed Independent Air Supplying

2010 ◽  
Vol 42 ◽  
pp. 461-465
Author(s):  
Xu Yu ◽  
Biao Yuan
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Intelligent Control ◽  
Air Conditioning ◽  
Work Place ◽  
Air Conditioning System ◽  
Intelligent Control System ◽  
On Demand ◽  
High Efficient ◽  
New Energy

Aimed at the problem of huge energy consumption of traditional office air conditioning units, this paper has put forward a new energy-saving and high-efficient office air-conditioning system for centralized work place which is independent in air supplying and can supply cooling or heat on demand and has adopted intelligent control. The paper introduced the structure and working principles of the new air conditioning system, for example, the innovative distributed air supplying system, the frequency-converting air conditioning technology and intelligent control system. The paper also analyzed the advantages of performance, and the new air conditioning system is more energy-saving and comfortable compared with the traditional air conditioning 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.

A Breeding Greenhouse Based on the Intelligent Control System

2012 ◽  
Vol 562-564 ◽  
pp. 1673-1677
Author(s):  
Shou Yu Zhang ◽  
Jian Lin ◽  
Guo Chang Ding ◽  
Xiang Zhang
Keyword(s):  
Carbon Dioxide ◽  
Control System ◽  
Plant Growth ◽  
Real Time ◽  
Intelligent Control ◽  
Process Design ◽  
Growth Process ◽  
Environmental Parameters ◽  
Intelligent Control System ◽  
Plant Seedlings

In order to control the greenhouse system of temperature, humidity, the concentration of carbon dioxide and some other environmental parameters during the plant seedlings process, design a greenhouse real-time monitoring system by using a PLC module, this system can realize the function of controling the various environmental parameters during he plant seedlings process to achieve the best environment plant growth process requirements.

Design and Implementation of Humanized Temperature Control for Hotel Air-Conditioning

2014 ◽  
Vol 651-653 ◽  
pp. 684-687
Author(s):  
Zhi Li
Keyword(s):  
Control System ◽  
Air Temperature ◽  
Temperature Control ◽  
Intelligent Control ◽  
Air Conditioning ◽  
Necessary Condition ◽  
Intelligent Control System ◽  
Design And Implementation ◽  
Single Function ◽  
Conditioning Temperature

In some star hotels, humanized air-conditioning temperature control has become a necessary condition to improve the service. Obviously, the traditional single function of air temperature control cannot meet this requirement. This paper proposes an intelligent control system for air-conditioning combining, through which users can set desire temperature compared with the actual temperature detected, thus achieving humanized control. The experiments show that the proposed system achieves good results in humanized control of the air-conditioning temperature.

LED Lights Wireless Intelligent Control System Based on LabVIEW

2014 ◽  
Vol 602-605 ◽  
pp. 1210-1213
Author(s):  
Xue Qiang Li ◽  
Ping Qian
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Environmental Parameters ◽  
Wireless Sensor ◽  
Intelligent Control System ◽  
Working Status ◽  
Set Up ◽  
Led Lights ◽  
And Storage

Because of LED lights require long-term monitor, the paper presents a remote intelligent control system based on LabVIEW. The system set up by the hardware and software simulation is completed. First collected working status and environmental parameters of the system by ZigBee wireless sensor network. Then transfer data to a remote monitoring center via WiFi. The functions including data real-time display, analysis and storage can be realized by LabVIEW. Using the information collected corresponding control can be adopted, the power and brightness of LED lights can be adjusted, etc. Experiments show that the system is stable, simple to operate, easy to wiring and suitable for the application of LED Street light at present.

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