I. System Introduction

Converter steelmaking is one of the main steelmaking methods in China, and the temperature inside the converter can reach up to about 1700 degrees Celsius. During the long working hours, the refractory material inside the converter is gradually eroded and peeled off, and the steel plate is directly exposed to the high temperature environment, which is easy to cause the furnace bottom to burn through and cause the furnace penetration accident.

The system uses visual recognition, infrared temperature measurement and other technologies to comprehensively analyze the temperature change system of the brick lining and steel shell of the iron ladle, and timely find out the weak points of falling brick, spalling and lining and make early warning to avoid the occurrence of malicious accidents.

II. System Composition

The converter temperature monitoring system mainly consists of: infrared imaging system, hardware system, software system, schematic diagram as follows：

III. System functions

1. Using multiple fixed infrared temperature field measurement probes, installed around the converter, when the converter is lifted into the temperature field measurement area, the thermal imaging probes simultaneously shoot to obtain the overall temperature field data of the converter.

2. The measurement software is equipped with analysis and learning functions, through the comprehensive analysis of temperature field measurement data and laser thickness measurement data, after a period of data accumulation, the measurement software can obtain the correlation between each converter temperature field and converter liner thickness.

3. It can judge whether there is steel seepage according to the temperature field distribution, which realizes the comprehensive inspection of the converter lining and provides a guarantee for safe production.

4. Computer network transmission of image and temperature data improves the accuracy of detection and provides a reliable basis for off-line reanalysis of the transmitted thermal images.

5. Temperature rise or hot spot in the monitoring environment can be located, analyzed, and alarmed.

6. Multi-channel real-time temperature detection or safety monitoring can be performed simultaneously.

IV. Software screenshots