VISUAL ANALYTICS METHODS FOR MONITORING HETEROGENEOUS DATA FLOWS

Studies existing approaches to visual analysis of heterogeneous data streams in real time, allowing to form patterns of normal behavior of an object and identify possible deviations in it. The paper outlines the main visualization models used to monitor data flows and identify anomalies in them are identified, their main advantages and limitations are shown; the basic requirements for the design of visualization models used to graphically represent heterogeneous data in real time are formulated. An approach to the construction of an analytical panel for monitoring data flows based on density maps, matrix representations, and linear diagrams is proposed; its application is shown on the example of monitoring data from a smart building ventilation and air conditioning system.

Authors: E. S. Novikova, Ya. A. Bekeneva, M. P. Bestuzhev

Direction: Informatics, Computer Technologies And Control

Keywords: Real-time monitoring, data stream visualization, density maps, RadViz, matrix visualization, time line charts

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