AUTOMATED CONTROL SYSTEM FOR CLIMATE TESTING OF RUBBER PRODUCTS USING MACHINE VISION METHODS

Abstract

The paper considers the problem of increasing the efficiency of climatic tests of rubber products exposed to aggressive environmental factors, in particular temperature, humidity, ozone and ultraviolet radiation. It is established that the existing methods of monitoring the condition of samples in climatic chambers are characterized by discreteness, subjectivity and insufficient accuracy, which complicates the study of the dynamics of aging processes. Modern approaches to conducting climatic tests and machine vision methods for detecting surface defects of materials are analyzed. The feasibility of integrating computer vision methods into automated test management systems is substantiated. The structure of an automated control system for climatic tests of rubber products is proposed, which includes a subsystem for dynamic photoanalysis of the condition of samples. Approaches to collecting, processing and analyzing graphic information are developed, which allow for a quantitative assessment of the degree and nature of aging based on the parameters of crack formation and changes in the surface of the material. The implementation of the proposed approach provides continuous monitoring of the aging process, reducing the influence of the human factor and increasing the objectivity of test results. The results obtained can be used to optimize climatic testing regimes and improve rubber material formulations.