In industrial fields such as high-temperature metallurgy and non-ferrous metals, production safety and efficiency optimization have always been important issues of concern to enterprises.
Traditional manual inspection methods have bottlenecks such as low recognition rate and poor real-time performance in high-temperature and high-dust environments. However, the in-depth application of infrared thermal imaging technology is reshaping the standard paradigm of industrial monitoring.
This article will provide an in-depth analysis of the implementation value of this technology in the metallurgical industry based on actual application cases.
1. Monitoring challenges and technological breakthroughs at industrial sites
The particularity of the metallurgical production environment determines that the monitoring system needs to deal with multiple technical problems.
Taking converter operation as an example, real-time monitoring of furnace wall temperature involves complex requirements such as automatic positioning of high-temperature points and modeling of refractory material thickness.
The converter infrared thermal imaging intelligent analysis system uses all-weather passive thermal imaging technology to obtain the furnace body temperature field distribution map and identify abnormal heating areas. Its key value lies in converting furnace wall temperature data into quantifiable early warning basis, helping companies establish a corresponding model of refractory material thickness and surface temperature.
In the electrolytic tank short-circuit detection scenario, the traditional inspection method requires manual inspection one by one, which is inefficient and poses safety risks.
The electrolytic cell detection system for the non-ferrous industry uses machine vision algorithms and a two-axis servo turntable to quickly locate short circuits between spans and cells by tracking cathode temperature abnormalities.
The system combines real-time images and multi-dimensional data management methods of operating curves to realize digital traceability of groove surface status.
2. Construction logic of the whole-process monitoring system
The application value of industrial thermal imaging technology is not only reflected in single-point monitoring, but also in the systematic management and control throughout the entire production process.
In the blast furnace operation scenario, the blast furnace top thermal imaging system can observe the wear of the chute and the burning of the cross temperature measurement rod in real time. The system has an automatic camera exit protection function and obtains the air flow and cloth status by simulating multiple cross temperature measurement lines.
In conjunction with the blast furnace tuyere imaging system’s real-time monitoring of coke movement and pulverized coal spray gun status, operators can directly observe key indicators such as abnormal slag skin falling in the duty room.
For the sintering process, the sintering machine tail thermal imaging analysis system provides a scientific basis for evaluating the rationality of the sintering system by analyzing the FeO content of the section and the thickness of the red fire layer in real time.
Its feature extraction technology can automatically identify temperature distribution characteristics and eliminate interference from human judgment.
The sintering trolley monitoring system realizes remote centralized control through the YSIR cloud platform, automatically records the trolley’s entry and exit and usage time, simplifying the maintenance and inspection process.
3. Multiple guarantees of the safety warning mechanism
During the transportation of molten iron, smoke and dust interference leads to inaccurate manual observation of the liquid level, which can easily lead to overflow accidents.
The molten iron level monitoring system uses smoke-penetrating airflow imaging technology to link the weighing and dispatching systems to achieve automatic liquid level alarm.
Its image enhancement adjustment function can filter background interference and display the clear liquid level position in real time.
The ladle hook safety management system is aimed at the driving and lifting process to prevent major accidents caused by overturning of the ladle and decoupling of the hook head.
The prevention and control of the risk of converter penetration requires continuous monitoring of furnace shell temperature changes.
The converter thermal imaging early warning system can automatically identify abnormal furnace shell surface temperatures, determine lining defects and provide high temperature early warning.
In the tapping process, the converter tapping slag detection system automatically identifies steel slag and links the sliding plate to close the tapping port, thereby controlling the steel slag content at a low level and optimizing the yield index.
4. Data support for refined management
The in-depth advancement of industrial intelligence is inseparable from the refined collection and analysis of data.
The high-temperature container life cycle monitoring system automatically matches the “identity” of the container with the historical temperature rise curve to achieve a systematic assessment of the health of the tank and reduce the risk of bag wear.
The slab number online identification system uses deep learning algorithms to identify numbers and colors in real time, ensuring synchronization with production line data and forming a closed data loop.
In the coal bunker management scenario, the coal bunker fire early warning system aims at the risk of spontaneous combustion of the coal pile and analyzes the temperature rise trend to provide early warning and linkage to the sprinkler system before the fire breaks out.
The belt safety management system covers tear detection, deviation determination, foreign matter monitoring on the material surface and other functions to reduce the loss of conveying equipment.
5. Adaptability design of hardware equipment
The stable operation of the thermal imaging monitoring system depends on the adaptability of the hardware equipment to harsh working conditions.
The blast furnace monitoring infrared thermal imaging camera adopts a micro-aperture lens design with a small window opening and a measuring range of up to 1600°C, which meets the monitoring needs of the internal environment of the blast furnace.
The Fengshui-cooled infrared thermal imaging camera is equipped with double-layer stainless steel protection and supports 24-hour uninterrupted operation.
For flammable and explosive areas, the dual-light explosion-proof thermal imaging camera reaches the Exd IICT6Gb explosion-proof level.
The single-light anti-corrosion thermal imaging camera adopts a special material protective cover, which is resistant to strong acids and alkali, and is suitable for strong corrosive environments such as electrolytic cells.
6. Verification results of industry practice
The practical application of many steel companies has verified the reliability of infrared thermal imaging technology in the metallurgical field.
Taking rotary kiln monitoring as an example, the rotary kiln thermal imaging analysis system assists in adjusting the pellet roasting process by monitoring the flame shape of the nozzle and material trajectory in the kiln. The synchronous monitoring of the inner and outer walls can identify the location of refractory material corrosion.
In the steelmaking converter scene, the furnace mouth flame analysis system solves the pain point of being unable to observe the reaction in the furnace after closing the explosion-proof door, and analyzes the flame color and temperature through AI algorithms.
7. Outlook on the direction of technological evolution
The introduction of digital twin technology brings new possibilities to the industrial monitoring system.
The blast furnace hot blast stove monitoring system builds a panoramic display platform based on digital twin technology, restores the physical scenes of blast furnaces and hot blast stoves, realizes predictive monitoring of equipment status, and promotes asset life cycle management.
In the field of molten steel smelting, the VD/RH/LF furnace high-temperature industrial central control system accurately displays the shape and edge state of the argon-blown molten steel, assists in the reasonable control of the argon-blown intensity to reduce losses, and achieves transparent management and control of the smelting process.
The in-depth application of infrared thermal imaging technology in the industrial field is essentially the systematic integration of sensing technology, image processing, artificial intelligence algorithms and process mechanism knowledge.
From single-point monitoring to full-process control, from passive early warning to active optimization, this technology path provides practical solutions for safety production and efficiency improvement in high-temperature industrial fields such as metallurgy, nonferrous metals, electric power, and chemicals.
With the further integration of technologies such as digital twins and edge computing, industrial intelligent monitoring systems will evolve towards higher-dimensional predictive maintenance and adaptive control.
