Muhammad Hunzilah Ahmad

日期 : Sep 2021 - Apr 2022

<div><p>Industries always look for ways to improve productivity, reduce losses, and increase profits. The fourth industrial revolution, termed Industry 4.0, promises to push these goals to new heights. One of the emerging technologies under Industry 4.0 is the Industrial Internet of Things (IIoT). IIoT refers to the interconnection of machines and devices in industrial environments. Proper implementation of the IIoT can improve the efficiency and reliability of industries. The IIoT market, valued at $115 billion in 2016, is predicted to reach $197 billion by 2023.</p> <p>This project aims at developing 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. OEE can provide insights to improve the manufacturing process by reducing losses. The real-time measurement of OEE involves using field devices to collect machine availability data, aggregate and analyze it, and provide industry owners with information to make the right decisions to improve productivity while reducing costs.</p> <p> Firstly, we have created an industrial environment comprising a conveyor belt-drive system. We, then, use 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. The edge device passes this data to the IIoT server, where the OEE is calculated and displayed on the dashboard. The dashboard, and ultimately the machines' OEE, is accessible over the internet to make the IIoT system. </p></div>