Development Trends in Metrological Support for Measuring Systems Amidst their Growing Functional Complexity

Abstract

As the architecture and functionality of measuring systems grow increasingly complex, there is a corresponding and steady rise in the need to enhance their metrological support. This necessitates the development of new methods for verification, calibration, and measurement uncertainty assessment under conditions of dynamic and intelligent interaction between elements.
Analysis of the literature has identified the key stages and current trends in the development of measurement systems, which are driven by informatization, automation, and the growth of their multifunctional capabilities. The article demonstrates how modern digital technologies, predictive analytics, and artificial intelligence are transforming the role of measurement systems in process control. It ensures not only precise parameter monitoring but also active participation in their regulation and optimization.
The study highlights how these transformations enhance product quality by enabling more in-depth and real-time analytics.
The study also examines the emerging terminological inconsistencies caused by the convergence of IT and measurement technologies, highlighting the need for a unified conceptual framework across metrology and related areas.
The study underscores the necessity of an interdisciplinary approach to ensure measurement reliability, reproducibility, and comparability within modern digital production settings.
The work aims to establish the foundation for the further development of the metrological infrastructure in the context of the digital transformation of industry.