会议论文详细信息
2018 2nd International Conference on Artificial Intelligence Applications and Technologies
Power Saving LED Luminance Fuzzy Control with IOT Network
计算机科学
Xiaole, Yuan^1 ; Chunlai, Yang^1 ; Zhe, Yin^1 ; Hongbo, Yuan^2 ; Gang, Peng^1
Hebei Electrical Power Research Institute, No. 238, South Tiyu Street, Hebei Province, Shijiazhuang, China^1
Shijiazhuang Foreign Language Education Group, No. 318, Yucai Street, Hebei Province, Shijiazhuang, China^2
关键词: Control process;    Control quality;    Fuzzy control strategy;    Led controllers;    Lighting effects;    Luminance control;    Measured values;    Step response experiment;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/435/1/012059/pdf
DOI  :  10.1088/1757-899X/435/1/012059
学科分类:计算机科学(综合)
来源: IOP
PDF
【 摘 要 】
To lower down illumination power consumption and enhance lighting effects, smart LED controller and luminance sensors were connected to a WIFI based IOT network, fuzzy luminance control was employed on the IOT net. The schematic topology of the IOT net was outlined. The smart LED controller used the dedicated IOT chip ESP 8266 as the main processor, which was connected to the WIFI network and drove LEDs with PWM signals. The luminance fuzzy control strategy was also implemented on ESP8266 in C language. The fuzzy control process was a typical feedback loop, which took the error (difference between the luminance measured value and the luminance set value) and error change as inputs and calculated the output (the PWM increment) according to fuzzy rules. To test system efficiency, step response experiment and power saving experiment were conducted, proving the system to have good control quality and capable of saving more power by means of intelligent control.
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