Areas of improvement of measuring systems and their metrological support

Abstract

The actual task of analyzing the features of measuring systems and their metrological support is formulated. Promising directions for the development of measuring systems, including virtual ones, were considered. An analysis of such areas of development of measuring systems as remote and synchronized vector measurements, cloud technologies, the Internet of Things, big data and artifi cial intelligence was carried out. An analysis of some innovative solutions was carried out, based both on the use of biological sensors and on the use of hybrid metrology - on the introduction of structural redundancy in the composition of measuring systems, as well as temporary and algorithmic redundancy in the software of measuring systems. As a result of the review, it is concluded that the integration of component functions is an objective diffi culty in highlighting measuring systems as part of complex technical systems, but gives more and more new capabilities to technical systems with measuring functions. An analysis of such areas of improvement of metrological support of measuring systems as self-diagnostics and self-monitoring, remote and automated calibration and verifi cation, the use of digital twins, big data and artifi cial intelligence, as well as the establishment of adaptive intervals between calibrations and checks was carried out. The conclusion concludes on the need to minimize bureaucratic procedures, automate metrological procedures, and the expediency of switching from periodic to adaptive procedures, mainly without human participation.