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.

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.

A Remote Intelligent Control System Based on Zigbee Wireless Technology

2014 ◽  
Vol 644-650 ◽  
pp. 71-75 ◽  
Author(s):  
Guang Hui Cai ◽  
Chuan Liang ◽  
Qian Huang ◽  
Ying Yuan
Keyword(s):  
Real Time ◽  
Temperature Control ◽  
Intelligent Control ◽  
Mobile Terminal ◽  
Wireless Technology ◽  
Industrial Control ◽  
Intelligent Control System ◽  
Intelligent Home ◽  
Conditioning Temperature ◽  
Set Up

Firstly, the Zigbee wireless technology, uCOSII real-time operating systems, gateways and other techniques were studied, and then Cortex-M3 core processor, equipped with running uCOSII operating system to set up an internal wireless network Zigbee module to achieve the end nodes of data acquisition and node control, and ultimately design and implement a remote temperature control and infrared remote control, users can realize temperature control and remote air conditioning temperature regulating heater remotely via a PC or a mobile terminal. The system is real-time, high stability, can be applied to the field of industrial control and remote areas such as intelligent home.

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 RANCANG BANGUN FERMENTOR YOGURT DENGAN SISTEM KONTROL LOGIKA FUZZY MENGGUNAKAN MIKROKONTROLER ATMEGA32 (Yogurt Fermenter Design with Fuzzy Logic Control System Using Microcontroller ATMega32)

2015 ◽  
Vol 34 (04) ◽  
pp. 456
Author(s):  
Dimas Firmanda Al Riza ◽  
Retno Damayanti ◽  
Yusuf Hendrawan
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Temperature Control ◽  
Intelligent Control ◽  
Fuzzy Logic Control ◽  
Fermentation Process ◽  
Linear Time ◽  
Intelligent Control System ◽  
Logic Control ◽  
System Method

Yogurt is milk fermented product that becomes popular recently. In yogurt processing, fermenter is the main device. Lactobacillus sp. and Streptococcus sp. are two probiotic bacteria species that are common to be used in yogurt fermentation process. Both bacteria grow well in a specific range of temperature between 40-45 C, so temperature control in fermenter operational becomes one of the important things to ensure speed and quality of fermentation process. Fermentation process is a process with high degree of uncertainty and categorized as non-linear time invariant system. Thus, classical control system method is difficult to be implemented. To overcome this issue, intelligent control system can be implemented to yogurt’s fermenter temperature control. One of intelligent control system method that can be implemented is fuzzy logic-based control system. In this study, fuzzy control system has been designed andimplemented for fermenter temperature control. Control system algorithm is integrated in ATMega16 (for On-Off logic control) and ATMega32 (for Fuzzy Logic control) microcontrollers. Experimental results of fermenter control system shows that temperature profile of fermenter with fuzzy logic control system is more stable by settling time around an hour and 15 minutes and error average of -0.36 oC. Fermentation process for 16 hours with fuzzy logic controller produce yogurt with pH value of 3.66, total number of Lactobacillus sp. is 4.85 x 10 cfu/mL and Streptococcus sp. is1.34 x 106 cfu/mL.Keywords: Fermentation, yogurt, cow milk, fuzzy, temperature control ABSTRAKYogurt merupakan produk olahan susu terfermentasi yang akhir-akhir ini mulai banyak disukai oleh masyarakat. Pada pengolahan susu menjadi yogurt, fermentor digunakan sebagai alat utama. Lactobacillus sp. dan Streptococcus sp. merupakan dua spesies bakteri yang biasa digunakan dalam proses fermentasi yogurt. Kedua jenis bakteri ini tumbuhdengan baik pada suhu yang spesifik yaitu antara 40–45 C, sehingga pengendalian suhu pada operasi fermentor merupakan hal yang penting agar proses fermentasi dapat berjalan secara cepat dan baik. Proses fermentasi merupakan proses yang memiliki tingkat ketidakpastian yang tinggi dan merupakan sistem non-linear time variant, sehinggadesain sistem kontrol klasik akan sulit untuk diterapkan. Untuk mengatasi hal ini sistem kontrol cerdas dapat untuk diimplementasikan pada pengendalian suhu fermentor yogurt. Salah satu dari metode sistem kontrol cerdas yang dapat digunakan adalah sistem kontrol dengan logika fuzzy. Pada penelitian ini telah dilakukan rancang bangun sistempengendalian suhu berbasis algoritma fuzzy pada fermentor yogurt. Algoritma sistem kendali diintegrasikan dalam mikrokontroler ATMega16 (untuk logika ON-OFF) dan ATMega32 (untuk logika fuzzy). Hasil uji sistem pengendalian suhu fermentor menunjukkan bahwa dengan menggunakan algoritma fuzzy sistem pengendalian lebih stabil dengansettling time selama 1 jam 20 menit dan rata-rata error sebesar -0,36 oC. Proses fermentasi selama 16 jam menggunakan fermentor dengan kontroler fuzzy menghasilkan yogurt dengan pH sebesar 3,66, jumlah mikroba Lactobacillus sp. sebanyak 4,85 x 108cfu/mL, dan Streptococcus sp. sebanyak 1,34 x 10 6 cfu/mL.Kata kunci: Fermentasi, yogurt, susu sapi, fuzzy, kontrol suhu

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