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Uncertainty Calculation as a Service: Integrating Cloud-Based Microservices for Enhanced Calibration and DCC
Anil Cetinkaya1,2, M Cagri Kaya3, Erkan Danaci4
1Department of Computer Engineering, Middle East Technical University, 06800 Ankara, Türkiye.
Sensors (Basel, Switzerland)
|September 14, 2024
Summary
This study enhances a microservice cloud architecture for calibration, improving management of complex equipment and processes. The updated system streamlines data flow for accurate measurements and digital certificate generation.
Area of Science:
- Metrology and Measurement Science
- Cloud Computing and Distributed Systems
Background:
- The calibration industry faces challenges due to diverse equipment and complex processes.
- Rapid technological advancements demand innovative management solutions.
Purpose of the Study:
- To enhance an existing microservice-based cloud architecture for managing calibration complexity.
- To integrate diverse equipment and communication technologies into a unified system.
Main Methods:
- Implementation of a microservice-based cloud architecture.
- Integration of various equipment types and communication protocols.
- Development of modules for uncertainty calculation and digital calibration certificate (DCC) generation.
Main Results:
- The enhanced architecture successfully integrates diverse calibration equipment and processes.
- Demonstrated efficient data flow from measurement to DCC generation.
- A case study on RF power measurement validated the system's practical application and benefits.
Conclusions:
- The enhanced microservice architecture provides a robust solution for managing complex calibration processes.
- The system facilitates accurate uncertainty calculations and digital certificate generation.
- The flexible design supports future expansion to multiple measurement types and metrology advancements.
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