РОЗРОБКА ЕЛЕКТРОННОГО БЛОКУ ПІДСИСТЕМИ ІДЕНТИФІКАЦІЇ МЕТАЛЕВИХ ВКЛЮЧЕНЬ У СИРОВИНІ НА КОНВЕЄРНІЙ СТРІЧЦІ З АВТОМАТИЧНИМ ВИЗНАЧЕННЯМ ЇХ КООРДИНАТ

Abstract

Purpose. Ensuring reliability and efficiency manufacturing ceramic products technological process by integrating into it the subsystem for identifying metal inclusions in raw materials with automatic determination of their coordinates and dimensions for their further extraction. Methodology. Methods of circuit engineering, basics of system theory and automatic control, methods of electromagnetic circuits and digital signal processing are used, a comprehensive approach to the construction of a control system, mathematical methods of operations research are used as well. Results. The article provides a critical analysis of existing modern solutions for metal inclusions identification in loose raw materials for ceramic products manufacture during their movement on a conveyor belt. It was established that the presence of metal inclusions in raw materials inevitably leads to failures with subsequent breakdowns of technological equipment. The electronic unit for measuring and processing the signals from the receiving coils has been developed. The electronic unit for generating the excitation signal in the radiating coils has been carried out. Based on the proposed concept, the subsystem for detecting metal inclusions has been created, which is easily scaled to the width of the conveyor belt by selecting the number of measuring channels. The algorithm of signal processing for the receiving coils unit has been worked out, which allows implementing the synchronous signals forming, measurement, processing, and presentation of results. Scientific novelty. The identification subsystem structure of metal inclusions has been proposed, which is implemented on the parallax method of determining the position of the metal inclusion between the coils. Practical significance. The development and integration of the identification subsystem of metal inclusions into the structure of the automated control system of the raw material preparation process has been carried out, which includes the development of hardware and algorithmic support. As result of testing the identification subsystem of metal inclusions on a laboratory installation of conveyor line, it is possible to detect 89.8% ones of metal inclusions.