Open AccessInternet of things and fuzzy logic for smart street lighting prototypes
Author(s) -
Mindit Eriyadi,
Ade Gafar Abdullah,
Hasbullah Hasbullah,
Sandy Bhawana Mulia
Publication year - 2021
Publication title -
iaes international journal of artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2252-8938
pISSN - 2089-4872
DOI - 10.11591/ijai.v10.i3.pp528-535
Subject(s) - computer science , microcontroller , smart lighting , internet of things , fuzzy logic , light intensity , real time computing , relay , fuzzy control system , embedded system , the internet , smart city , artificial intelligence , power (physics) , architectural engineering , operating system , engineering , physics , optics , quantum mechanics
Internet of things (IoT) and fuzzy logic are very useful in increasing the efficiency and effectiveness of a system; this study applies both to the street lighting systems. The prototype of a street lighting control and monitoring system has been completed. The status of lights that are on or off and the value of the light intensity can be monitored by using IoT. The intensity of the light is fuzzy controlled by utilizing the presence of vehicles and pedestrians around the lights. The prototype is made with a scale against real conditions. Data is processed and transmitted using a microcontroller and Wi-Fi on the IoT module. Mobile applications have been used on smartphone interfaces to monitor and control lamps wherever they are connected to the Internet. Changes in the status of lights to turn on or off are done by the relay module. The fuzzy light intensity control system uses sensors and microcontrollers by utilizing the presence of vehicles and pedestrians around the lights. Performance evaluation has been carried out on a miniature street lighting with the results of monitoring and control following its function. An analysis of the resulting energy savings has been demonstrated.