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

Yu Jie Zhang; Yun Liu

doi:10.4028/www.scientific.net/AMR.460.290

Paper Titles

The Strength and Elongation of PLA Fiber Yarn
p.271

Investigation on Decoloration of Zanthoxylum Bungeanum Seed Oil
p.275

Design and Implementation of Valve Failure Signal Multi-Channel Acquisition System Based on Acoustic Emission and Pipeline
p.281

Effect of Temperature during Grain Filling Stage on Endosperm Structure and Apperance Quality of Aromatic Rice
p.286

The Design of Artificial Intelligence Control System for LED Based on ZigBee and Light Emitting Diode Materials
p.290

Measurement of Solid Materials’ Young’s Modulus by Piezoelectric Resonance and ANSYS Simulation Method
p.295

Manufacturing of Zinc Powder with Dendritic Microstructure for Zinc-Air Battery by Electrodeposition
p.300

Control for 3-Phase 4-Wire Active Power Filter Based on Synchronous Reference Frame
p.304

A Hysteretic Current Controller for Active Power Filter (APF) with Constant Frequency
p.308

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 460The Design of Artificial Intelligence Control...

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

Abstract:

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.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 460)

Pages:

290-294

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.460.290

Citation:

Cite this paper

Online since:

February 2012

Authors:

Yu Jie Zhang, Yun Liu

Keywords:

BP Neural Network (BPNN), Compensation Lighting, LED Intelligent Control, STM32, ZigBee

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Yin Jun, Wang Wei: The design of LED intelligent lighting system based on ZigBee. Journal of lighting engineering. Vol.22, No.4, (2011), pp.75-78.

Google Scholar

[2] Zhang ling, Hao cui xia: The research and development of LED Tunnel Lighting Control System. Journal of lighting engineering. Vol.22, No.4, (2011), pp.36-40.

Google Scholar

[3] Zhou Li Xia, Xiong Rui Ping and YangRongSong: The application of LabVIEW in the BP neural network equipment fault diagnosis system. Machine tool and hydraulrcs. Vol.35, No.4, (2007), pp.215-228.

Google Scholar

[4] Wang Li Gang, Jian Tian Cheng, Li Jing Jing. The research and design of LED intelligence lighting system. Journal of natural science of heilongjiang university. Vol.26, No.4, (2009), pp.543-545.

Google Scholar

[5] Masashi Sugano. Indoor localization System Using Rssi Measurement Of Wireless Sensor Network Based On Zigbee Standard.School of Comprehensive rehabilitation Osaka Prefecture University(2010).

Google Scholar