Study on the Energy Saving of Mine Ventilator Based on Artificial Intelligence Control System

2010 ◽  
Author(s):  
Xinhui Du ◽  
Jiancheng Song ◽  
Shanjun Zhu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Energy Saving ◽  
Intelligence Control

A Simulation Research of Artificial Intelligence Control

2012 ◽  
Vol 214 ◽  
pp. 640-643
Author(s):  
Xin Xiong ◽  
Chao Dong Lu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Control Method ◽  
Control Mode ◽  
Simulation Research ◽  
Loop Control ◽  
Complex Control ◽  
Intelligence Control ◽  
And Control ◽  
Specific Control

The traditional control system can not meet the more complex control tasks of the problem, using artificial intelligence control method of imitation, artificial intelligence control system on the overall structure of the design, and given the specific control algorithms. System relies on accurately identify the various features of the error and make the appropriate decisions to multiplexing, open, closed loop control mode of combining control and solve the complex control of the process of identification, decision-making and control problems and achieve A unified identification control.

The Design of Artificial Intelligence Control System for LED Based on ZigBee and Light Emitting Diode Materials

2012 ◽  
Vol 460 ◽  
pp. 290-294
Author(s):  
Yu Jie Zhang ◽  
Yun Liu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Intelligent Control ◽  
Design Method ◽  
Light Emitting Diode ◽  
Constant Intensity ◽  
Development Platform ◽  
Labview Software ◽  
Intelligent Control System ◽  
Intelligence Control

Due to the defects of traditional LED intelligent control system, the design scheme of artificial intelligence control system for LED based on ZigBee was proposed in this paper, which described the hardware and software design method of the system. The system used STM32 as the core and embedded BP neural network program in LabVIEW software, which can achieve the optimal intelligent control for LED under the LabVIEW development platform through ZigBee wireless network, including the functions of constant intensity of illumination lighting, compensation lighting, adaptive lighting and artistic lighting according with human body visual comfort. The system can be widely used in large lighting place and intelligent household application field.

Artificial Intelligence for the Control of Northeast Region Greenhouse Base on Biomass

2011 ◽  
Vol 48-49 ◽  
pp. 270-273
Author(s):  
Zhi Gang Wang ◽  
Xiao Guang Chen ◽  
Wen Fu Wu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Natural Resources ◽  
The Other ◽  
Growth Data ◽  
Northeast Region ◽  
Other Hand ◽  
Intelligence Control ◽  
Burning Coal

Greenhouse is used to produce vegetables in winter, the parameter of environment which suit vegetables grow is a complex and ill-defined problem. Furthermore, burning coal to heat greenhouse is expensive than carry vegetables from south region enormously, so at northeast, most greenhouse cannot produce. On the other hand, there are more than several hundred million ton biomass be burned in field. Not only waste natural resources greatly, but also caused pollution seriously. This paper presents an artificial intelligence control system of northeast region greenhouse base on biomass, peasants can use this system produce vegetables automatically by simple intervening. This system also can learn new vegetables growth data and representation it to control vegetable producing.

Research on University Classroom Lighting Energy Saving Intelligence Control System Based on Single Chip Microcomputer

2014 ◽  
Vol 1030-1032 ◽  
pp. 1533-1536
Author(s):  
Dan Tong Zhang
Keyword(s):  
Control System ◽  
Body Temperature ◽  
Energy Saving ◽  
Human Body ◽  
Infrared Sensor ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Lighting Energy ◽  
Human Body Temperature ◽  
Intelligence Control

Aiming at the wasted serious program of the university classroom lighting energy, the project of the classroom lighting energy saving intelligence control system be put forword based on single chip microcomputer. The intelligence system is composed of the hardware and the software, taking single chip microcomputer as the main control core, using the light-to-frequency converter, the human body temperature and infrared sensor. The existence of human body be detected by the human body temperature and infrared sensor, the current frequency-field chip be judged by photoconductive resistance. The classroom lighting intensity and intelligence lighting control system be achieved. The system saves significant energy and works intelligently. This system had many advantages. For example, the physical volume is small, the system is conveniently controlled, the credibility is high, the appropriation is strong, and its price proportion is ideal, etc. The experiment proved that the system can satisfy the control command of the classroom’s light device, so it could largely reduce the consuming of energy resources.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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