Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Sociedade Brasileira de Proteção Radiológica - SBPR
2023
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=722277919007 https://www.redalyc.org/journal/7222/722277919007/ https://www.redalyc.org/journal/7222/722277919007/html/ https://www.redalyc.org/journal/7222/722277919007/722277919007.epub https://www.redalyc.org/journal/7222/722277919007/movil https://doi.org/10.15392/2319-0612.2023.2225 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Mapping of processes and risks in the digital transformation in metrology of ionizing radiation, a case study in X-rays air kerma calibration I. F. M. Garcia J. S. Ferreira E. M. Macedo M. V. T. Navarro J. G. P. Peixoto Biología rays Risks Management Metrology 4 Calibration 4 For the new metrological challenges of an increasingly digitized world, several countries are developing applications and infrastructure for Digital Calibration Certificates – DCC, researching the comparability of real and virtual measurements. Objective: to map the processes and risks related to the digital transformation of X-rays air kerma calibration. The Failure Mode and Effect Analysis - FMEA was used to quantify risks and is widely used in the aviation and automotive industry due to its reliability. The results presented a conceptual model for calibrating ionizing radiation quantities in the framework of new technologies and calibration 4.0 and comparing processes and risks. The conceptual model of calibration 4.0 comprises three main parts: a transmitter, the 4.0 communication network, and a receiver. Intelligent devices with configurations enable calibration data transfers by radio-frequency messaging in all these parts. Comparing risks in contemporary and calibration 4.0 processes, a slight reduction in the total risk can be observed. But new risks are unique to the 4.0 model, all with maximum severity, and how to mitigate them is still unknown. It is also possible to estimate that artificial intelligence and automation can significantly reduce measurement risks, identification, and error in the analysis and use of calibration certificates. 2023 artículo científico 2319-0612 https://www.redalyc.org/articulo.oa?id=722277919007 https://www.redalyc.org/journal/7222/722277919007/ https://www.redalyc.org/journal/7222/722277919007/html/ https://www.redalyc.org/journal/7222/722277919007/722277919007.epub https://www.redalyc.org/journal/7222/722277919007/movil https://doi.org/10.15392/2319-0612.2023.2225 en http://www.redalyc.org/revista.oa?id=7222 Brazilian Journal of Radiation Sciences application/pdf Sociedade Brasileira de Proteção Radiológica - SBPR Brazilian Journal of Radiation Sciences (Brasil) Num.2 Vol.11