Client Background
Client Need
- Initial foray into Industry 4.0 and use of Industrial IoT, cloud, and other modern technologies to provide real-time access to manufacturing data and visualizations
- One of the plants tried to implement an IoT solution that could collect machine data. However, it witnessed significant challenges while scaling. The on-premises solution became a risk and had to be moved to the cloud
Our Solution
Designed a Global Industrial IoT solution that contained several key components:
- Data normalization at the edge, ingestion, visualization, and long-term storage
- Managed devices from the cloud using advanced AI/ML capabilities using several AWS services including IoT Core, Kinesis, S3, Athena, and AWS Managed Grafana
- Provided governance and logging, additional services like Config, CloudWatch, and IAM (Identity & Access Management) were used
Key Benefits
- Automation to deploy IIoT package to any plant site on demand, enabling real-time access to visualizations
- Provide the C-Level with insights into the machine, department, and plant-level OEE and OPE
- The KPI analytics and dashboards are viewable in near real-time at the Enterprise, Regional, and Department levels