Open Information and Computer Integrated Technologies

In information technology, it is expedient to determine the sustainability of information, that is, the ability to receive accurate information in changing conditions. In such circumstances, input processes are described by non-stationary random processes. The article proposes a model and a method for the numerical determination of the sustainability of information (sustainability index) under conditions of nonstationarity of input processes, as well as information technology that allows you to visually obtain information about the constancy of specific information depending on the decision on the state of a technical object. For example, a bridge structure was chosen as such an object, and the information is formed on the basis of signals describing the deflections of the lower part of the structure.

In the article the probability densities of stationary and non-stationary processes of deflection of bridge structures for various types of loads were analyzed.

The dependence of the sustainability of information on the root-mean-square value of the deflection of bridge structures was found, as well as the dependence of the sustainability of information on the root-mean-square value of the deflection at large fluctuations of stationary deflections.

A graphical user interface was developed, which allows you to see the graph of the distribution of the probability density of deflection at a certain point of the bridge structure visually, as well as to numerically determine the index of information sustainability, which, by definition, can vary from 0 to 1. The presence of a minimum value of the index can be interpreted as the lack of sustainability of information and the maximum value of the sustainability index can be interpreted as the presence of information sustainability.

It is concluded that this method is universal and can be used for various technical objects under non-stationary conditions. After analyzing the graphs of the dependence of the sustainability index and the root-mean-square deflection, it was found that with an increase of the root-mean-square value of the deflection for a non-stationary process at small fluctuations of stationary deflections, the sustainability of information significantly decreases.

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