Analysis of the Visual Analytics Techniques for Monitoring Heterogeneous Data Streams

The efficiency of complex object monitoring as well as detection of anomalies in its behavior strongly depends on automatic models used and the way how this information is presented to the analysts in order to maintain their situational awareness. The paper analyzes the existing visualization-driven approaches to the monitoring different complex objects targeted to form its normal behavior as well as highlight possible anomalous deviations in its functioning. The most commonly used visualization and interaction techniques for monitoring streaming heterogeneous data are presented, authors discuss their advantages and disadvantages. The analytical dashboard for monitoring and correlation heterogeneous data from distributed sensors of the heating conditioning and ventilation system is presented.