Borys Prydalnyi, Л.М. Самчук, Nataliia Huliіeva, Віктор СИЧУК
The article considers the problem of substantiating the structure of the monitoring and diagnostics subsystem of robotic production complexes in the conditions of increasing requirements for accuracy, reliability, speed and digital integration of modern automated production. It is shown that the existing approaches are mainly focused either on means of process tracking, or on diagnostics of the technical condition, or on predictive maintenance and data transmission, while the task of forming an integral structure of the subsystem in which these functions were coordinated with each other remains insufficiently worked out. The research method is to substantiate the structure of the monitoring and diagnostics subsystem of the robotic complex based on the generalization of modern approaches to process tracking, technical condition assessment, failure prediction and digital data integration. The work uses a functional-structural approach, analysis and generalization of scientific sources, classification of technical solutions, functional decomposition, comparative analysis, structural synthesis and multi-criteria evaluation of alternative structures. As a result, the functional composition of the subsystem was determined, which includes data collection and pre-processing modules, the tracking process, failure detection, technical condition assessment, forecasting and decision support with integration into the production digital environment. The types of means of implementing these functions were systematized and a system of criteria for their evaluation was formed, which increases accuracy, speed, diagnostic coverage, integrity, computational complexity and operational value. Three alternative subsystem structures were proposed and their comparison was performed using the integral criterion. It was established that the combined modular structure, which supports the monitoring process, technical condition diagnostics, forecasting and digital integration, has the highest integral score of 4.47 compared to the alternatives of 3.76 and 3.50.