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All Journal ELINVO (Electronics, Informatics, and Vocational Education)
Putra, Aldhitiansyah
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Computer Science & IT Education Electrical & Electronics Engineering

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Journal : ELINVO (Electronics, Informatics, and Vocational Education)

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Power Monitoring and Passenger Classification on Logistics Elevator Hafidz, Isa; Putra, Aldhitiansyah; Montolalu, Billy; Adiputra, Dimas; Putranto, Rifky Dwi; Daffaldi, Rafly; Ulfa, Dinda Karisma
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 6 No. 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (525.938 KB) | DOI: 10.21831/elinvo.v6i2.43689

Abstract

The elevator has an important role in assisting transportation and logistics activities in a building. However, if the elevator is not used wisely, then the power consumption will be inefficient. A policy of elevator usage is necessary to ensure the effectiveness of elevator power consumption. Therefore, in this study, elevator power consumption monitoring is proposed. The power consumption behavior can be learned so a suitable policy can be made accordingly. Two elevators in Telkom Campus Surabaya are monitored to understand the daily electrical energy usage. Internet of Things (IoT) based real-time power monitoring system is used to monitor the electrical energy usage of the elevator. A raspberry pi is used to collect the data of electrical usage via a current and power sensor. The data is sent to the cloud, which later is displayed through a dashboard website. The result shows that the elevator usage on weekdays and weekends is different. The peak power on weekdays is obtained from 15.00 to 16.00, meanwhile, on weekends, the peak occurs from 9:00 to 10:00. On weekdays, the total power consumed by the elevator is 51.74kW, while on weekends, it is 11.94kW. Restrictions on the use of lifts are applied to periods when the lift has few passengers and has a short distance. From the results obtained, the total power consumed can decrease by an average of 37%. It is expected that the suggested policies can reduce elevator power consumption and the monthly cost of electrical energy.
Co-Authors Adiputra, Dimas Daffaldi, Rafly Isa Hafidz Montolalu, Billy Putranto, Rifky Dwi Ulfa, Dinda Karisma