The work is devoted to the development of an intelligent control system for geographically distributed communications systems of special purpose.
The relevance of the study is caused by the fact that the evolutionary development of controlled telecommunications systems, on the example of special-purpose communication complexes characterized by a changing nature, application conditions in the course of their operation, large coverage and territorial distribution, structural, topological, as well as space-time heterogeneity should be taken into account and correlated with systems for monitoring their technical condition, taking into account the development of basic artificial intelligence technologies, which is conceptually important in the short term. Method of synthesis of intelligent control system characterized by multilevel architecture of construction and functioning, depending on the degree of emergency situation, in modes of express and complete control is presented, which involves use of databases (knowledge) and adaptation of control processes to the effects of destabilizing factors. The work shows the approach to processes of proactive inspection of parameters of objects, consists in adaptive adjustment of preventive tolerances for checked parameters and use of adaptive mechanisms for polling intelligent sensors based on polling models; taking into account the correlation of actuation of a group of sensors within the control object in emergency situations and contributing to an increase in the speed of recording and transmitting the alarm signal, and reducing redundancy of measurement information in the measurement path of the monitoring system. As a result of the synthesis of a multilevel intelligent control system, the system architecture is proposed, which allows determining the most rational ratio of measuring channels (intelligent sensors, analog-to-digital converters, sampling and storage devices), taking into account the noise immunity and throughput of measuring paths, as well as the required number of communication channels. The multi-level monitoring system architecture allows analysis of measuring information (alarms) at the sensor level of the system and online analysis of streaming data (telemetry messages) to quickly detect cases of possible failures, predict the residual resource of equipment of special-purpose communication systems.