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Intelligent Factory Framework for Optimizing Processes with IoT
The Intelligent Factory Framework integrates OT and IT on a unified, cloud-based platform using AWS services, enabling real-time data acquisition from IoT devices like PLCs, SCADA systems, and sensors. It supports advanced analytics and ML models to predict maintenance, detect anomalies, and optimize workflows, with real-time dashboards helping stakeholders identify inefficiencies and respond proactively. AWS’s scalable infrastructure ensures seamless growth, automated data pipelines, and high-quality data for analysis. By combining IoT and cloud analytics, the framework enhances process visibility, supports remote collaboration, modernizes legacy systems, and helps manufacturers improve efficiency, quality, and align with Industry 4.0 goals.
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- Data scattered across multiple systems like PLCs and SCADA prevented a unified view of operations.
- Lack of real-time monitoring and adjustments led to variations in product quality.
- High energy consumption due to inefficient processes and resource utilization.
- Reactive maintenance practices resulted in frequent equipment failures and production delays.
- IoT Integration: Deployed IoT sensors and AWS services for real-time data and insights.
- Process Optimization: Improved workflows, quality, and energy efficiency using ML and monitoring.
- Scalability: AWS cloud enabled seamless growth and remote collaboration.
- Reduced batch cycle times by 20% and improved equipment utilization by 25%.
- Achieved a 30% reduction in unplanned downtime through predictive maintenance.
- Improved product quality consistency by 15% with real-time adjustments.
- Optimized energy usage, reducing energy costs and waste by 12%.
Industries
Industry domain know - How with technology (digital) expertise.
