19 — 21 September 2022
Society relies on sophisticated measurement infrastructures that use behind-the-scenes experts to generate, communicate, interpret, and consume data. Information technology now presents the challenge and opportunity to transform these apparently transparent infrastructures for the digital economy. Ideally, computing systems would generate, communicate, and consume the data without human intervention up and down the traceability chain and broadly across all measurement disciplines.
Modelling develops abstract representations of knowledge specific to a domain. Domain models, expressed as design patterns, allow individuals and teams to work together using shared terminology and recognised best practices, thus streamlining and standardising software development.
This session is chaired by
- Blair Hall, Measurement Standards Laboratory of New Zealand (MSL) and also chairs the APMP focus group on digital transformation in metrology
- Mark Kuster, chairs the NCSLI 173 Metrology Practices and 141 MII & Automation Committees, and serves as Managing Editor for NCSLI Measure: The Journal of Measurement Science
|The Uncertain Number: a data model for measurement
|Implementing an M-Layer data model
|Expressive type systems for metrology
|Using Blender as a tool to simulate 3D camera based measurements
|Uncertainty Calculation-As-A-Service: An IIoT Application for Automated RF Power Sensor Calibration