Development of methods and tools for mathematical and computer modeling of the process of inverse signal processing in measuring channels of energy facility monitoring systems

Abstract

Relevance: The use of information technology and computer technology is the most significant factor in the development, modernization and improvement of the efficiency of modern industry. Based on the specified tools, it became possible to build various monitoring systems that should ensure high quality of operation of industrial and research technologies, among which the priority position is occupied by energy devices, objects, systems and technologies. An integral part of monitoring systems are measuring devices, systems and complexes, the weight and complexity of which are growing rapidly along with the growth of requirements for their quality. Compliance with these requirements is ensured not only and not so much by technical improvement, but also by improving the methods and means of computer processing of measurement results. In the context of increasing requirements for the quality of measuring channels of monitoring systems, the problem of creating methods for mathematical and computer modeling of processes of inverse signal processing (experimental data) by building effective dynamic models of primary measuring transducers, developing numerical methods, algorithms and computer tools for implementing models and methods is relevant.

Aim: creation and development of methods for mathematical and computer modeling of signal processing processes in measuring channels of energy facility monitoring systems based on the expansion of forms of mathematical descriptions using Volterra-type integral operators and equations .

Methods: theory and methods of mathematical modeling of dynamic systems; theory and numerical methods for solving integral equations; elements of automatic control theory.

Result: The considered methods and means of modeling will allow for the prompt solution of problems of creating and studying methods of inverse signal processing in measuring channels of energy facility monitoring systems with the possibility of rational selection of mathematical descriptions of measuring instruments and corresponding software modules.