Content
Number of images - 9
Tables and charts - 0
Intelligent Lighting Control System in Large-Scale Sports Competition Venues. L&E 26 (4) 2018

Light & Engineering 26 (4)

Volume 26
Date of publication 12/20/2018
Pages 172–182

Purchase PDF - $6

Intelligent Lighting Control System in Large-Scale Sports Competition Venues. L&E 26 (4) 2018
Articles authors:
Shengmin CAO

Shengmin CAO, Doctor, Associate Professor. Graduated from the Shenyang Sport University in 1997. Worked in North – Eastern University. His research direction is the sports policy of higher education and the training of sports education

Abstract:
This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.
References:
1. Chi, Si D., Dongsen. Application of CAN Bus for the Intelligent Lighting Control System on Park. Control & Automation, 2018, V28, #1, pp.411–414.
2. Chen T. Application of Intelligent Lighting Control System to the Engineering. China Illuminating Engineering Journal, 2018, V25, #1, pp.70–74.
3. Guo L L. Application of Intelligent Lighting Control Technology in Lighting System for Industrial House. Journal of Railway Engineering Society, 2018, V59, #1, pp.116–118.
4. Dong R. An application of intelligent lighting control system in the office buildings. Shanxi Architecture, 2018, V4, #48, pp.69–82.
5. Cai X., Qing W U., Liu J. Constant Illumination Control of Intelligent LED Lighting Control System in Port. Journal of Transport Information & Safety, 2018, V20, #3, pp.281–288.
6. Dengli B U. Application of Light Sensor ISL29004 in Intelligent Lighting Control System. Modern Electronics Technique, 2018, V18, #7, pp.109–125.
7. Zhou W. Application of EIB Intelligent Lighting Control System in Metro. Modern Urban Transit, 2018, V9, #1, pp.12–13.
8. Zhang, WP., Yang, JZ., Fang, YL., Chen, HY., Mao, YH., Kumar, M. Analytical fuzzy approach to biological data analysis, Saudi journal of biological sciences, 2017, V2, #3, pp.563–573.
9. Zhang W., Thurow K., Stoll R. A Context­Aware mHealth System for Online Physiological Monitoring in Remote Healthcare. International Journal of Computers Communications & Control, 2016, V11, #1, pp.142–156.
10. Nassiopoulos, A. An Embedded PID Temperature Control Scheme with Application in a Medical Microwave Radiometer. Journal of Engineering Science and Technology Review, 2016, V9, #4, pp.56–60.
Keywords

Buy

Recommended articles