TY - GEN
T1 - Fuzzy Logic and IoT for Smart City Lighting Maintenance Management
AU - Kindhi, Berlian Al
AU - Pratama, Ilham Surya
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/9
Y1 - 2021/4/9
N2 - General lighting is an important aspect for a city, maintenance and checking lighting conditions must be done regularly. In big cities, there are thousands, or even more lights scattered throughout the city, the process of checking the lights manually by visiting one by one location is one of the processes that are inefficient in terms of time, cost and energy. One solution is to monitor the condition of the lights centrally and remotely. Management of maintenance of long-distance city lighting is now widely applied in several large cities in developed countries the remote monitoring process only checks whether the lights are on or not. In this study, we propose management of city lighting maintenance that is not only able to monitor remotely but is also able to predict the condition of the lights and the capacity of batteries filled by solar cells. For the IoT system, we use a microcontroller equipped with the ESP8266 Node MCU module to connect the lights to the internet, then from the management side, we apply the adaptive fuzzy method to process data sent from the ESP module as an analysis of the lamp. Our proposed method has been tested directly on public lighting in the city by updating information in real-Time by 100% and predicting the availability of lamp battery power by 96.4%.
AB - General lighting is an important aspect for a city, maintenance and checking lighting conditions must be done regularly. In big cities, there are thousands, or even more lights scattered throughout the city, the process of checking the lights manually by visiting one by one location is one of the processes that are inefficient in terms of time, cost and energy. One solution is to monitor the condition of the lights centrally and remotely. Management of maintenance of long-distance city lighting is now widely applied in several large cities in developed countries the remote monitoring process only checks whether the lights are on or not. In this study, we propose management of city lighting maintenance that is not only able to monitor remotely but is also able to predict the condition of the lights and the capacity of batteries filled by solar cells. For the IoT system, we use a microcontroller equipped with the ESP8266 Node MCU module to connect the lights to the internet, then from the management side, we apply the adaptive fuzzy method to process data sent from the ESP module as an analysis of the lamp. Our proposed method has been tested directly on public lighting in the city by updating information in real-Time by 100% and predicting the availability of lamp battery power by 96.4%.
KW - Adaptive Fuzzy
KW - Node MCU
KW - Smart city
KW - Solar cell
KW - Website
UR - http://www.scopus.com/inward/record.url?scp=85107273443&partnerID=8YFLogxK
U2 - 10.1109/EIConCIT50028.2021.9431917
DO - 10.1109/EIConCIT50028.2021.9431917
M3 - Conference contribution
AN - SCOPUS:85107273443
T3 - 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
SP - 369
EP - 373
BT - 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
A2 - Alfred, Rayner
A2 - Haviluddin, Haviluddin
A2 - Wibawa, Aji Prasetya
A2 - Santoso, Joan
A2 - Kurniawan, Fachrul
A2 - Junaedi, Hartarto
A2 - Purnawansyah, Purnawansyah
A2 - Setyati, Endang
A2 - Saurik, Herman Thuan To
A2 - Setiawan, Esther Irawati
A2 - Setyaningsih, Eka Rahayu
A2 - Pramana, Edwin
A2 - Kristian, Yosi
A2 - Kelvin, Kelvin
A2 - Purwanto, Devi Dwi
A2 - Kardinata, Eunike
A2 - Anugrah, Prananda
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
Y2 - 9 April 2021 through 11 April 2021
ER -
