Industrial IoT: Industry 4.0 Transformation and Accelerators

Manufacturing companies have made significant investments in plant automation on their shop floors. However, there remains a substantial gap in utilizing data to enhance equipment functionality, operational performance, and generate new insights.

By leveraging cloud technologies such as powerful analytic tools, machine-learning algorithms, and AI on AWS, these insights can be unlocked, maximizing the value of existing PLC investments.

Our AWS-based IIoT solution is designed to establish a robust Industry 4.0 strategy and foundation, offering the following benefits:

• Seamless Machine Data Connectivity: Connect machine data from PLCs to the cloud by installing and configuring an edge gateway. This additional service is provided as part of this offering, outside of the AWS environment.
• Real-Time Metrics: Provide near real-time OEE/OPE metrics to executives and plant supervisors, enabling informed decision-making.
• Scalable Framework: Establish a foundation and framework for connecting multiple plant locations to the cloud.

Key Components of the Solution

1. Assessment and Performance monitoring: A comprehensive review of your current IoT infrastructure, including a detailed risk report with identifying of high and medium-level risks, along with remediation support.
2. PLCs on the Manufacturing Floor: Our solution supports multiple PLCs, including Allen Bradley, Brankamp, Siemens, Rockwell, and more.
3. AWS-Based Connectivity and Analytics: This service offering includes connectivity, data gathering, storage, and visualization using the following AWS services:

• AWS IoT Core
• Amazon Athena
• Amazon S3
• Amazon Kinesis
• Amazon CloudWatch
• AWS Managed Grafana

Achieve the Following with Our Solution:

1. Data Strategy and Modernization: Implement a comprehensive Industry 4.0 strategy with connected machinery and sensors that generate data for task automation.
2. Efficiency Analysis: Conduct global plant and equipment efficiency analysis in near real-time. Measure quality, performance, and reliability of equipment to accelerate decision-making.
3. Predictive Maintenance: Perform equipment downtime analysis to measure shift effectiveness, supervisor actions, machine setup, troubleshooting, and operator training.
4. Supply Chain Optimization: Analyze raw material grades and production to trace product defects to raw materials, metallurgy, and machine technical issues.
5. Innovation Acceleration: Utilize readily available data to innovate faster on new methods and products. Create machine twins for automating line tasks and simulating production line changes.

Empower your manufacturing operations with our comprehensive IIoT solution and drive your Industry 4.0 transformation forward.