One of the important tasks of monitoring technical objects is the prevention of emergency situations. This task is associated with the implementation of a reliable and adequate assessment of the health of the object. The assessment of the object’s health is based on an analysis of the behavior of its controlled parameters in real time. Only then it will be relevant. A method for determining the nature of a parameter change based on an analysis of a sequence of special spatial graphical forms called Poincare graphs is proposed. The selected parameter should largely determine the operability of the controlled object. Charts are formed on the basis of the time series of the controlled parameter. A time window is selected that cuts the specified number of parameter values. A graph is plotted for each step of moving the window along the time series of the parameter. The transformation of the form of a given type is analyzed, which is superimposed on the totality of parameter values presented in the form of a graph. By changing the form parameters, a conclusion is drawn on the nature of the parameter changes. The paper shows the possibility of using Poincare graphs to track changes in the state of a technical object in real time. This takes into account the peculiarities of information retrieval from sensors. The assessment is implemented using a microprocessor module included in the monitoring system. The structure of a generalized one-factor model is also proposed, which tracks the change in the state of an object based on an analysis of Poincare graphs. The option of assessing the state of the object by comparing the characteristics of the graph with the criteria is given. The criteria are obtained after preliminary processing of a large array of data on the behavior of the controlled parameter. Each criterion value is associated with an expert assessment that determines the state of the object. The assessment allows you to determine the degree of operability of the facility and implement the necessary actions in case of danger.
