Client Background
A global leader in fastening, installation, and engineered component technologies, the client delivers advanced solutions to industries worldwide. They sought to take their first steps into Industry 4.0 by adopting Industrial IoT (IIoT), cloud technologies, and real-time data visualization.
Client Need
The client faced challenges in scaling their existing IoT solution, initially implemented at one plant to collect machine data. Their key needs included:
Resolve difficulties in scaling the IoT solution across multiple sites
Transition to a secure, enterprise-grade cloud infrastructure to ensure future readiness
Improve access to real-time data and analytics to drive better decision-making
Solution
We designed a comprehensive Global Industrial IoT (IIoT) solution with the following key components:
Edge Data Normalization and Ingestion: Enabled the efficient collection and processing of machine data at the edge, followed by ingestion and visualization of data in real time
Cloud-Based Management: Utilized advanced AI/ML capabilities via AWS services such as IoT Core, Kinesis, S3, Athena, and AWS Managed Grafana to manage devices and monitor data from the cloud
Governance and Logging: Implemented robust governance, logging, and security measures with services like Config, CloudWatch, and IAM (Identity & Access Management) to ensure data integrity
Realized Benefits
The solution provided the following Realized Benefits:
Automated IIoT solution deployment across plant sites, enabling real-time access to critical visualizations
Provided C-level executives with visibility into machines, department, and plant-level OEE and OPE
Delivered near real-time KPI dashboards across enterprise, regional, and department levels
Tools & Technologies
AWS
IoT Core
Kinesis
S3
Athena
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