Fuzzy Traffic Lights Controller Based on PLC

Bouhedda, Mounir; Benyezza, Hamza; Toumi, Yassine; Rebouh, Samia

doi:10.1007/978-3-030-63846-7_42

Cited by 3 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The LEDs and sensors can be directly connected via the IoT module and the internet to set the parameters of the LED lights, upload the collected data to the cloud, and then use data analysis to make the best settings for the various settings parameters of the LED lights. Similar to the proposed system, some previous works [39][40][41][42] have applied IoT technology to intelligent traffic light systems, and good research results have been achieved. The other previous works [43][44][45][46] have also adopted IoT technology to the intelligent dimming of old houses, reducing lighting energy consumption, healthy lighting, etc.…”

Section: Related Workmentioning

confidence: 79%

An Internet of Things (IoT)-Based Master-Slave Regionalized Intelligent LED-Light-Controlling System

et al. 2022

View full text Add to dashboard Cite

Reducing residential and industrial electricity consumption has been a goal of governments around the world. Lighting sources account for a large portion of the whole energy/power consumption. Unfortunately, most of the existing installed lighting systems are ancient and have poor energy efficiency. Today, many manufacturers have introduced light-controlling systems into the current market. However, existing light controlling systems may not be successfully applied to buildings, streets, and industrial buildings due to high costs and difficult installation and maintenance. To combat this issue, this article presents an easy-to-install, low-cost, Master-Slave intelligent LED light-controlling system based on Internet of Things (IoT) techniques. The benefit of using the proposed system is that the brightness of the LED lights in the same zone can be changed simultaneously to save in energy consumption. Furthermore, the parameters of the LED lights can be directly set. Moreover, the related data are collected and uploaded to a cloud platform. In this article, we use 15 W T8 LED tubes (non-induction lamps) as a case study. When the proposed system is installed in a zone with few people, the energy-saving rate is as high as 90%. Furthermore, when 12 people pass by a zone within one hour, its energy-saving rate can reach 81%. Therefore, the advantages of using the proposed system include: (1) the original lamp holder can be retained; (2) no wiring is required; and (3) no server is set up. Moreover, the goal of energy saving can also be achieved. As a result, the proposed system changes the full-dark mode of the available sensor lamp to the low power low-light mode for standby. Further, it makes the sensor lamps in the same zone brighten or low-light way simultaneously, which can quickly complete large-scale energy-saving and convenient control functions of intelligent LED lighting controlling system.

show abstract