Find out more about how this website uses cookies to enhance your browsing experience.
Background
The factory owner and manufacturer jointly evaluate different AI-algorithms for the process industry. Combining historical data with real-time analytics to train designated AI-services.
Prerequisites
Difficulties to connect to designated machines due to complex and complicated OT-system and security concerns.
Scope
Apply multiple AI-algorithms for real-time use-cases
- Edge computing and analytics for collecting data
- Tag Management for data selection
Sandbox, testing, and comparison of AI-functions
- Self Service requirements
- Shortage of developers/programmers
- Limited time for deployments
Organizations constraints due to many stakeholders within the project
- Roles based usage of Edge software
Solution
Crosser Node deployed in a virtual machine inside the firewall:
- Connecting to OSI-Soft PI and retrieving OPC-data
- Specific data tag management. Focusing on specific tags
- Deploying data cleansing and preparation algorithms for AI testing
- Sending data to Amazon Web Services, where AI algorithm is running
Crosser Cloud:
- Customer organization set up with roles o Resources library setup