3D-Modeling of the Dynamics of Real Processes of Different Nature

Abstract

It is difficult to make decisions based on the large number of temporal and spatial signals received from physical, biological, chemical and other sensors. These signals differ in nature, dimension, complexity of form, etc., and the decision-making criteria are very diverse. The influence on the sensors reveals hidden features of functional characteristics. They create in information flows spatio-temporal inhomogeneities, the hidden nature of which is technologically or biologically inherited. Artifacts are observed in the sensor response-signals under extreme conditions, which indicate the fractal nature of the signals. Technological or biological heredity is inherent in all fractal objects and increases the risk of making erroneous decisions. The random nature of individuality finding required the development of a convergent approach based on 3D-modeling. For this, the means of processing, visualization and analysis of the dynamics of information flows are unified. They reveal the dynamic, energetic and informational characteristics of processes of different nature. This article describes the development of tools for modeling the dynamics of real processes of various natures that occur at different scale levels. This is relevant for solving the problems of the viability of the functioning of complex dynamic systems in abnormal conditions.