CONSTRUCTION OF AN INTELLIGENT MEASURING SYSTEM FOR MONITORING THE METROLOGICAL RELIABILITY OF AN AUTOMATED METROLOGICAL SERVICE COMPLEX FOR WEAPONS AND MILITARY EQUIPMENT 

Kozyrev Gennadiy Ivanovich, doctor of technical sciences, professor, sub-department of telemetric systems, integrated processing and information protection, Military Space Academy named after A. F. Mozhaysky (13 Zhdanovskaya street, Saint-Petersburg, Russia), E-mail: gen-kozyrev@yandex.ru
Lavrov Roman Olegovich, candidate of technical sciences, associate professor, deputy head of sub-department of metrological support of weapons, military and special equipment, Military Space Academy, named after A. F. Mozhaysky
(13 Zhdanovskaya street, Saint-Petersburg, Russia), E-mail: 9432923@mail.ru
Usikov Valentin Dmitrievich, adjunct, sub-department of metrological support of arms, military and special equipment, Military Space Academy named after A. F. Mozhaysky (13 Zhdanovskaya street, Saint-Petersburg, Russia), E-mail: usikov_1989@list.ru 

681.2.088 

10.21685/2307-5538-2020-3-2 

Background. The relevance of this work is due to the need to increase the metrological reliability of automated systems for metrological service of weapons, military equipment of the Space Forces, using the means of an intelligent measuring system for monitoring the drift of metrological characteristics in a given range when exposed to destabilizing factors. The aim of the work is to develop an intelligent measuring system that will allow correcting the output values of the measuring parameters of an automated metrological service complex under the influence of destabilizing factors up to the limiting values of operating conditions.
Results. An approach to the construction of an intelligent measuring system for monitoring the metrological reliability of an automated metrological service complex is considered, taking into account the peculiarities of its functioning. The structure of an intelligent measuring system for monitoring metrological reliability of an automated metrological service complex is presented. A method for constructing intelligent sensors for the stable functioning of an intelligent measuring system under the influence of destabilizing factors is proposed.
Conclusions. The use of an intelligent measuring system for monitoring metrological reliability will ensure that an automated metrological service complex performs a measuring task under the influence of various destabilizing factors. 

metrological reliability, automated metrological service complexes, destabilizing factors, intelligent measuring system, error