An Industrial IoT framework for overall equipment effectiveness (OEE) Monitoring
We develop a proof-of-concept IIoT solution to monitor overall equipment effectiveness (OEE). OEE is a measurement of how well an industrial manufacturing process performs compared to its full potential. The real-time measurement of OEE involves using field devices to collect machine availability, performance, and quality data, aggregate and analyze it. For the completion of the project, we have created an industrial environment comprising a conveyor belt-drive system. Then, we have used IR sensors to count the total number of manufactured faulty and healthy products. An edge device (a microcontroller) reads the data from sensors placed on the conveyor belt drive system, from the collected data, the OEE of the machine is calculated. The edge device passes this data to the IIoT server cloud, which then displayed on the dashboard. The dashboard is also used to control the working of machine. The dashboard, and ultimately the machine’s OEE data, is accessible over the network.
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- Pakistan Institute of Engineering and Applied Sciences (PIEAS)
- P.O. Nilore
- Islamabad, Islamabad Capital Territory
- Pakistan 45650
- Building: Industrial Control Systems Lab, DTD Building
- Room Number: SE-105
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- Co-sponsored by Industrial Control Systems Lab
Speakers
Mr. Umair Asghar
An Industrial IoT framework for overall equipment effectiveness (OEE) Monitoring - Part 1
Biography:
Umair Asghar is a student of Bachelor of Electrical Engineering in Pakistan Institute of Engineering and Applied Sciences. He has completed his final year project of Bachelors in domain of Industrial IoT and automation. He has interest in Robotics, IoT and embedded system design.
Mr. Muhammad Hunzilah Ahmad
An Industrial IoT framework for overall equipment effectiveness (OEE) Monitoring - Part2
Biography:
Muhammad Hunzilah Ahmad, doing Bachelor of Electrical Engineering from Pakistan Institute of Engineering and Applied Sciences. He has interest in automation and control systems.