Implementation of monitoring environment components for managing multifunctional intelligent systems

The work is devoted to the formation of principles for constructing components of a monitoring environment for managing multifunctional intelligent systems. The relevance of the topic under study is substantiated, the goal and objectives of the work are set. The task of forming a system of indicators describing the operation of the system is highlighted as a key task in the formation of a monitoring environment. Three stages are described that determine the formation of a system of indicators from system performance indicators to performance indicators of individual elements. A system of indicators for the monitoring environment is proposed in the form of a hierarchical structure with 3 levels: the level of performance criteria, the level of performance indicators, the level of a combination of types of resources and types of activities. Algorithms for collecting and generating data sets are proposed. The algorithm for generating a data set for the monitoring environment involves obtaining data from different sources. The task of the data collection algorithm is to prepare data sets for subsequent processing and obtain the values required by the monitoring environment. When collecting data, various approaches to generating target data sets may be considered. To determine the correspondence between functional areas, resources, types of activities, divisions and performers, an algorithm for generating correspondence directories is attached. The architecture of a web application is proposed as one of the forms of implementation of the monitoring environment. Using the example of using the Next.js framework, the components of the application architecture are described and an architecture diagram is presented.

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