Design of an Intelligent High-Temperature Infrared Temperature Measurement System

Abstract

The system is designed to address the problem of untimely transmission of temperature measurement signals in the sampling process at the LF refinery location, as well as the subjective involvement of the operator in the traditional temperature measurement method, i.e. the technology and experience of the operation, which results in a certain systematic error in the temperature measurement results. In this paper, a steel plant is used as an experimental object to test the performance of the device and the practicality of the system in combination with the on-site operating environment; and the system differs from the traditional contact temperature measurement by visualizing the steel image and generating an intelligent temperature profile while measuring the temperature with the help of an infrared camera. The experimental results show that the system can be remotely controlled to achieve intelligent temperature measurement, and the percentage of temperature measurement error is controlled within 1.5%, which is of practical significance to the automation and intelligence of the LF refining furnace temperature measurement in the iron and steel metallurgical industry.