Development of an Internet of Things System for Lubrication Oil Level Monitoring

Lubricant demand is predicted to keep growing in global markets. As a result, the lubrication industry should periodically measure the quantity of lubricant stock to guarantee its safety. Both software and hardware make up the constructed lab model of the Internet of Things system. Among the specialized parts of the system are a LiDAR sensor, an Arduino Esp32 microcontroller, and a network architecture. The sensor, which is mounted on top of the tank, collects data, which is subsequently transmitted to the microcontroller for processing. The sensor's primary function is to determine the level of lubricant in the tank. The data processing and link establishment for the network infrastructure are both handled by the microcontroller. Blynk Apps, a communication platform, is integral to the development of the system that is being created. In the event of an emergency, the system may either be automated or manually operated. The software has been programmed in such a way that it is able to send commands to the sensor using Blynk Apps from any place, provided that both connections are stable. The system provides the benefits of having a low cost as well as portability. The system is able to offer reliable data on the amount of the lubricant, which makes it possible to do maintenance and restock at appropriate time.

Authors

Institutions

Publication Details

Journal
Journal of Applied Engineering Design and Simulation
Published
2025-03-30
DOI
https://doi.org/10.24191/jaeds.v5i1.91
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
1.24

Funders

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article

Development of an Internet of Things System for Lubrication Oil Level Monitoring

Mohd Khairol Anuar Mohd Ariffin, Siti Azfanizam Ahmad, N Hussain, Zulkifli Mohamed
1 citations
Journal of Applied Engineering Design and Simulation
Industrial Vision Systems and Defect Detection
1.24
article

Development of an Internet of Things System for Lubrication Oil Level Monitoring

Mohd Khairol Anuar Mohd Ariffin, Siti Azfanizam Ahmad, N Hussain, Zulkifli Mohamed
article en
1 citations

Abstract

Lubricant demand is predicted to keep growing in global markets. As a result, the lubrication industry should periodically measure the quantity of lubricant stock to guarantee its safety. Both software and hardware make up the constructed lab model of the Internet of Things system. Among the specialized parts of the system are a LiDAR sensor, an Arduino Esp32 microcontroller, and a network architecture. The sensor, which is mounted on top of the tank, collects data, which is subsequently transmitted to the microcontroller for processing. The sensor's primary function is to determine the level of lubricant in the tank. The data processing and link establishment for the network infrastructure are both handled by the microcontroller. Blynk Apps, a communication platform, is integral to the development of the system that is being created. In the event of an emergency, the system may either be automated or manually operated. The software has been programmed in such a way that it is able to send commands to the sensor using Blynk Apps from any place, provided that both connections are stable. The system provides the benefits of having a low cost as well as portability. The system is able to offer reliable data on the amount of the lubricant, which makes it possible to do maintenance and restock at appropriate time.

Journal of Applied Engineering Design and SimulationVol. 5(1)
Universiti Putra Malaysia (MY), Universiti Teknologi MARA System (MY)
Universiti Putra Malaysia, Universiti Teknologi MARA
Openalex Percentile: Top 19%
Industrial Vision Systems and Defect Detection
1.24
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Development of an Internet of Things System for Lubrication Oil Level Monitoring — Mohd Khairol Anuar Mohd Ariffin, Siti Azfanizam Ahmad, et al. · Journal of Applied Engineering Design and Simulation (2025) | TGRS Research Map | TGRS