IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi

Faishal Azmi, Nur Amyleena Arnie (2020) IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi. Degree thesis, Universiti Teknologi Mara Perlis.

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Abstract

The conventional street-lighting system in Malaysia promotes high energy consumption. This caused expensive electricity and maintenance bills. One of the approaches to solve this problem is by developing and implementing the IoT-Based Smart Energy Saving Streetlights (SESS). The SESS has two main features, automation in switching on and off and dimming to 40%. These features are enabled through the implementation of LDR and IR sensors which are connected to the LEDs. These components are controlled by a microcontroller, NodeMCU. It has been found that the SESS can reduce up to 79% of the power bills of streetlights. This reduction will be very beneficial to society in general. SESS is beneficial to the government which it allows them to reduce the operating and maintenance costs of streetlights. Meanwhile, the researchers can use the approach to address the similar issues in future works.

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Item Type: Thesis (Degree)
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Faishal Azmi, Nur Amyleena Arnie
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric lighting
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Detectors. Sensors. Sensor networks
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Item ID: 31524
Uncontrolled Keywords: IoT-Based Smart Energy Saving Streetlights (SESS) ; Street-Lighting System ; LDR ; IR sensors
URI: https://ir.uitm.edu.my/id/eprint/31524

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