Application product: On-line Composition Analyzer

Raw Material Plant

At the raw material plant, the iron ore is unloaded into the silo. A rapid inspection of each batch of ore is completed within a few seconds, analyzing the contents of key elements such as TFe, SiO2, and Al2O3, conducting grade classification and impurity assessment, providing a basis for the stability of the raw materials fed into the furnace.

Application product: On-line Composition Analyzer

Rapid Detection of Iron Ore/Sinter/Pellet/Sintering Plant

On the production line, non-contact online detection can be carried out on the sinter/pellet on the belt, and components such as TFe, CaO, and SiO2 can be monitored in real time. The quality and uniformity are judged, and the results are immediately fed back to the front-end batching and roasting processes to guide the dynamic adjustment of process parameters, so as to stabilize the product quality, reduce the return ore rate and energy consumption.

Application product: On-line Composition Analyzer

Real - time Evaluation and Classification of Coal/Coke Quality

Before the raw materials enter the blast furnace, LIBS can rapidly detect coke and analyze its key indicators such as fixed carbon, ash content, and sulfur content. Based on the test results, the coke is graded in quality (such as first - grade coke, second - grade coke, etc.), which guides the coke blending operation, optimizes the blast furnace condition, reduces the fuel ratio, and improves the quality of hot metal.
Before the pulverized coal is injected into the furnace, LIBS can rapidly detect the pulverized coal and analyze its key indicators such as fixed carbon, ash content, sulfur content, and calorific value. According to the test results, it guides the blast furnace to adjust the coal injection, optimizes the blast furnace condition, reduces the fuel ratio, and improves the quality of hot metal.

Application products: On-line component analyzer/Desktop elemental analyzer

Blast Furnace Ironmaking BF

The stability of blast furnace ironmaking production depends on the precise control of raw material composition and furnace conditions. Traditional off - line detection has serious lags, which easily leads to unstable furnace conditions and high energy consumption. Taichu Intelligent Testing, through an online detection system, can analyze in real - time the core components of sintered pellets, coke entering the furnace, as well as the products molten iron and slag. It accurately guides the optimization of batching and the dynamic regulation of furnace conditions, ensures the stable quality of molten iron, and helps iron and steel enterprises reduce costs, increase efficiency, and achieve intelligent smelting.