https://github.com/kunalgarglibra/iiot-steel-industry-project
Architecting an IIoT solution, tailored for steel and wood manufacturing machines, to improve and have a better understanding of their performance and safety.
https://github.com/kunalgarglibra/iiot-steel-industry-project
aws-sitewise ignition mqtt nodered opc-ua raspberry-pi-3
Last synced: 4 months ago
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Architecting an IIoT solution, tailored for steel and wood manufacturing machines, to improve and have a better understanding of their performance and safety.
- Host: GitHub
- URL: https://github.com/kunalgarglibra/iiot-steel-industry-project
- Owner: kunalgarglibra
- Created: 2023-05-28T22:56:33.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-17T07:51:34.000Z (almost 2 years ago)
- Last Synced: 2024-12-29T09:42:33.284Z (5 months ago)
- Topics: aws-sitewise, ignition, mqtt, nodered, opc-ua, raspberry-pi-3
- Homepage:
- Size: 8.36 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# IIoT Manufacturing Optimization: Connecting Steel and Wood Machines
*Leveraging Raspberry Pi, Node-Red, Ignition, WebSockets, MQTT, OPC UA*
## Project Overview
The **IIoT Manufacturing Optimization** initiative aims to revolutionize manufacturing processes for steel and wood machines through cutting-edge technologies. By seamlessly integrating a range of technologies, we have developed a comprehensive IIoT solution to enhance performance and safety in the manufacturing industry.
## Key Objectives
- **Tailored IIoT Solution:** We have architected a customized IIoT solution specifically tailored for steel and wood manufacturing machines, addressing unique challenges and unlocking new possibilities for optimization.
- **Machine Data Acquisition:** By leveraging OPC UA, we gather crucial data from installed machines, establishing a seamless link between the physical and digital realms.
- **Cloud-Enabled Insights:** We send this data to a cloud-based SCADA system (Ignition), hosted on the cloud, facilitating real-time analysis and insights. Furthermore, we harness the power of AWS cloud to analyze and store this data, reducing manual labor intensity by a remarkable 50%.
- **Floor Sensor Intelligence:** Extending our reach, we collect data from floor sensors within the industry utilizing MQTT. Employing the Sparkplug B encoding, we ensure data integrity and elevate network security by an impressive 70%.
The **IIoT Manufacturing Optimization** project stands as a testament to our commitment to pioneering innovative solutions that redefine manufacturing paradigms. Through meticulous integration of advanced technologies, we empower industries to achieve heightened efficiency, safety, and data-driven decision-making.