Open Access

ARTICLE

Realization of IoT Integration System of LED Based on Particle Swarm Optimization

Sung-Jung Hsiao¹, Wen-Tsai Sung^2,*

1 Department of Information Technology, Takming University of Science and Technology, Taipei, 11451, Taiwan
2 Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung, 41170, Taiwan

* Corresponding Author: Wen-Tsai Sung. Email:

Intelligent Automation & Soft Computing 2021, 27(2), 499-517. https://doi.org/10.32604/iasc.2021.014911

Received 26 October 2020; Accepted 19 December 2020; Issue published 18 January 2021

Abstract

The purpose of this research is to design an intelligent LED lighting control system with wireless remote control. Since the designed system is mainly based on Android applications, it controls wireless lighting modules through a sever by means of a smartphone, tablet computer, or another handheld mobile device, and the values displayed on the handheld device are used to monitor the establishment and design of the electricity state and multiple-LED light control scenarios in real time. The server is connected with a touch human-machine interface, digital meter, wireless lighting controller, infrared learning module, and other devices through RS-232 and RS-485 serial communication ports, and the controller and receiver of the wireless lighting module use ZigBee as a communication protocol. The touch human-machine interface can read the measured value from the server and receive user input commands to control the wireless light control module and infrared learning module. Through the Wi-Fi, the user can operate the proposed system by using a handheld mobile device. This paper also analyzes the measured data using the particle swarm optimization (PSO) algorithm, analyzing the electricity consumption based on the concepts of PSO speed and location updating and judging how to save electricity when using a light source in order to establish an intelligent LED lighting control system, facilitate mastering of electricity consumption, and realize control of other related electronic equipment during the operation process. The proposed intelligent LED lighting control system can be used in integrating applications of digital life and green energy saving.

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Keywords

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