ENSURING THE EFFICIENCY OF INFORMATION-MEASURING AND CONTROL SYSTEMS 

Bezborodova Oksana Evgen'evna, candidate of technical sciences, associate professor, sub-department of technosphere safety, Penza State University (40 Krasnay street, Penza, Russia), E-mail: ot@pnzgu.ru
Bodin Oleg Nikolaevich, doctor of technical sciences, professor, sub-department of information and measurement technology and metrology, Penza State University (40 Krasnay street, Penza, Russia), E-mail: iit@pnzgu.ru
Kramm Mikhail Nikolayevich, candidate of technical sciences, associate professor, sub-department of radio engineering fundamentals, National Research University «MPEI» (14 Krasnokazarmennaya street, Moscow, Russia), E-mail: KrammMN @mail.ru
Sherstnev Vladislav Vadimovich, applicant, Penza State University (40 Krasnay street, Penza, Russia), E-mail: iit@pnzgu.ru 

167.2 + 658 

10.21685/2307-5538-2020-4-1 

Background. Information-measuring and control systems (IMS) are a set of technical means made in a block-modular design, united by a common algorithm of functioning, having a set of normalized metrological characteristics and intended for automatic (automated) obtaining information directly from an object, transforming it, transmitting it, measurement, processing, storage and presentation in a form accessible for perception by the decision-maker, and the formation of a control action on the object. A distinctive feature of the IMS considered in the article is the presence of intelligent agents in its composition, which, in the process of the system's operation, continuously adapt to changing operating conditions. The aim is to ensure the optimal functioning of the IMS on the basis of a hierarchical management structure using cloning and a coalition of intelligent agents.
Materials and methods. The methods of system analysis were used to select the indicators of the IMS that characterize its effectiveness. It is shown that the system of key performance indicators – KPI, is an indicator of the compliance of the level of current indicators of the IMS with strategic goals.
Results. The proposed in the article an improved algorithm for the functioning of intelligent agents based on cloning and coalition formation provides an analysis of measurement results and impact on the control object. Synergetic efficiency is substantiated in the normal operation of the IMS and in the event of failure of individual agents on the example of the use of unmanned aerial vehicles, which ensure the efficiency and timeliness of collecting and presenting information when monitoring the territorial technosphere.
Conclusions. The proposed concept of building an IMS is a tool for analyzing efficiency and allows you to optimize the structure and functioning of the IMS by Pareto, when the value of each particular indicator characterizing the system cannot be improved without deteriorating others. 

information-measuring and control system, intelligent agent, performance indicators, synergistic efficiency