The Challenge
- Client has many signals from his turbines, but no access to them
- Old protocols and interfaces making access to sensor data difficulty
- No user management
- No clear security concept
The Approach
- Data Value analysis to identify data trends with benefits for the client
- Implement a time series database to save collected data
- Implement a REST API for easy access of the data
- Develop and implement user management based on roles and security levels
- Develop and finalize security concept for the REST API and the underlying system
- Running all SW components on separated docker containers with an internal network to provide maximum security, usability, interchangeable
Result & Added Value
- The architecture not only could handle the large distortion of fisheye images but also could deal with the lack of data.
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