Vision system for inspection of glass furnace structure

Abstract

The article presents a method for the inspection of the walls and the bottom of a glass furnace in operation using a hybrid vision system that allows simultaneous monitoring in infrared and visible light. The fusion of images recorded in the infrared and visible light facilitates the process of the identification of specific areas on the surface of the furnace. Evaluation of the condition of the structure of the walls and bottom of the furnace is based on the analysis of thermograms recorded at specified intervals during the operation of the furnace. The paper presents the recorded thermal images and photographs of damage to the structure of the furnace. The collected results of the inspection of the furnace form the basis for the development of an empirical model to present the process of the degradation of the insulation layer of the furnace.