When operating a thermal power plant (TPP), it is of great importance to ensure the reliability and safety of the enterprise while minimizing the cost of maintenance and repair of equipment. The currently used strategy for preventive maintenance is to carry out periodic work at predetermined times, regardless of the technical condition of the equipment. At the same time, the operating timefeatures, heterogeneous loads and, consequently, various equipment wear are not taken into account. Almost always there is an episodic deviation of the operating parameters of a particular equipment from the nominal values, which leads to an intensification of the wear processes and thereby a decrease in the residual life of this equipment. Therefore, the urgent task is to create tools for information and analytical support for planning repair and maintenance work based on the assessment and prediction of the condition of equipment using data from operational monitoring and computer modeling. In this paper, we pose the problem of creating an information system for assessing and predicting the states of an energy boiler as one of the key nodes of a TPP.
Problems encountered when assessing the technical condition of some types of industrial structures on the example of coal bunkers for a power boiler
