scholarly journals Internet of things and fuzzy logic for smart street lighting prototypes

Author(s):  
Mindit Eriyadi ◽  
Ade Gafar Abdullah ◽  
Hasbullah Hasbullah ◽  
Sandy Bhawana Mulia

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.

2020 ◽  
Vol 2 (1) ◽  
pp. 101-112
Author(s):  
Rijalul Imam ◽  
I Gede Putu Wirarama Wedashwara W ◽  
Fitri Bimantoro

Abstract: Public street lighting (PSL) is an element or component that must be present in every road, functioning as street lighting at night for the safety of motorists. Most of public street lighting is lit at night through morning continuously without a system of monitoring and control, which is consuming electricity. Therefore in this study a prototype system was designed to monitor and control public street lighting based on IoT and Android. It use Dimmer as a microcontroller, Dimmer as a voltage regulation, and LDR sensor for taking light intensity. Conventionally, public street lighting only turns on at night and turn off during the day. Research on monitoring and controlling street lighting in addition to being made that can be ON and OFF lights, it also can reduced electric voltage to dim the light intensity.   Keywords: Internet of Things, Public Street Lighting (LPJU) Relay, Dimmer, SensorLDR.


2018 ◽  
Vol 10 (12) ◽  
pp. 4365 ◽  
Author(s):  
Ovidio Rabaza ◽  
Evaristo Molero-Mesa ◽  
Fernando Aznar-Dols ◽  
Daniel Gómez-Lorente

This article describes an innovative method for measuring lighting levels and other lighting parameters through the use of aerial imagery of towns and cities. Combined with electricity consumption data from smart electricity meters, it was possible to measure the energy efficiency of public lighting installations. The results of this study also confirmed that lighting measurements, installation material, luminaire position, and electricity consumption data can be easily integrated into geographic information systems (GIS). The main advantage of this new methodology is that it provides information about lighting installations in large areas in less time than more conventional procedures. It is thus a more effective way of obtaining the data required to calculate the energy efficiency of lighting levels and electricity consumption. There is even the possibility of generating street lighting maps that provide local administrations with up-to-date information regarding the status of public lighting installations in their city. In this way, modifications or improvements can be made to achieve greater energy savings and, if necessary, to correct the distribution or configuration of public lighting systems to make them more efficient and sustainable. This research studied levels of street lighting and calculated the energy efficiency in various streets of Deifontes (Granada), through the use of aerial imagery.


2021 ◽  
Vol 4 (3) ◽  
pp. 12-16
Author(s):  
Shengbo Chen ◽  
Jingtian Wang ◽  
Lanxue Zhang ◽  
Keping Yu ◽  
Ali Kashif Bashir ◽  
...  

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