| Popis: |
An important issue to produce the technological equipment, including packaging, is the improvement of production automation systems, which involves improving the control and guidance of industrial equipment, providing its self-diagnosis. Technological equipment is used in many spheres of industry. Its malfunction leads to a significant decrease in the economic efficiency of production. To eliminate material losses directly during the operation of the equipment, its proactive maintenance and repair should be carried out. To solve this problem, the methods of Big data analysis, artificial intelligence principles, digital technologies are applied more widely in the industry, that make it possible to create Digital Twin (Digital Twin) technological equipment and to use them for self-diagnose manufacturing systems. These Digital Twin model the internal processes, technical specifications and behavior of technological equipment under the conditions of influence of interference and the environment, that allows to perform data analysis to identify the sources of efficiency loss. At the stage of operation, the Digital Twin model of the technological equipment can be used to provide feedback in order to adjust the diagnostics and forecasting of malfunctions and to increase the operating efficiency of technological equipment. It is proposed the method of using digital models of the state of technological equipment, based on the measurement and comparison of the parameters that characterize the operability of the equipment, which contributes to the early detection of malfunctions and their elimination. |
