Solution
Boasting more than 20 online operational cases nationwide, our solutions cover industries such as coal chemical, coal mining, and power generation. We have also established a strategic cooperation with Huawei.
APPLICATION SCENARIOS
应用场景
Intelligent online detection in coal washing plants enables real-time and accurate analysis of ash content, moisture content, and sulfur content, replacing traditional offline testing. It facilitates closed-loop control of dense medium separation, stabilizes coal quality, increases recovery rate, reduces energy consumption, and promotes the efficient and intelligent upgrade of coal preparation plants.
For the entire process of the coal chemical industry, including raw material incoming, gasification, coking, semi - coke production, methanol/olefin preparation, etc., a multi - modal online intelligent detection system is provided. It can detect key indicators such as ash content, moisture content, sulfur content, volatile matter, and fixed carbon in real - time, continuously, and in a non - contact manner. The data is output within seconds, realizing the full - closed - loop intelligent control of raw material prediction - process regulation - quality stability - cost optimization.
For the entire process of coal-fired power plants, including incoming inspection, coal blending and feeding to the silo, mixed coal feeding into the furnace, and fly ash/slag detection, a multi-modal spectroscopy online intelligent detection system is provided. It realizes non-contact, second-level, continuous online detection of key indicators such as ash content, moisture, sulfur content, calorific value, and volatile matter. The data is linked in real-time with the DCS/combustion control system to create a full closed-loop intelligent quality inspection system from "incoming to furnace".
APPLICATION SCENARIOS
应用场景
The ironmaking plant uses an on-line component analyzer to quickly detect and monitor iron ore, sinter / pellet within a few seconds, guide process adjustment, reduce costs and improve quality, and achieve intelligent control of the whole process.
In the steelmaking process, multi-modal spectroscopy technology is adopted to quickly detect the composition of molten steel and slag in converters and LF refining furnaces, replacing traditional off-line analysis, precisely controlling the process, reducing costs and improving quality, and achieving intelligent control of the entire steelmaking process.
In the steel rolling process, an on-line composition analyzer is used to achieve the sorting of hot-rolled billets, the identification of tube and bar grades, and the on-line detection of residual oil and iron in cold-rolled strip steel. This helps to eliminate the risk of material mixing, optimize the cleaning process, and contribute to refined control, quality improvement, and efficiency enhancement.
APPLICATION SCENARIOS
应用场景
Alumina plants can use an online composition analyzer to conduct rapid and non-destructive testing on bauxite raw ore and materials before calcination, accurately analyze key components, achieve quality-based pricing upon arrival at the plant, precise ore blending and homogenization, stabilize the calcination conditions, reduce production energy consumption, and facilitate intelligent quality control and digital upgrading throughout the alumina production process.
Electrolytic aluminum plants can adopt an online component analyzer to achieve non-contact, real-time, and continuous detection of the composition, temperature, and impurity content of molten aluminum. The data is simultaneously accessed into the control system to accurately guide the batching and refining processes, improve the purity of molten aluminum and product consistency, reduce the rejection rate, and ensure the safe and efficient operation of electrolytic aluminum production.
In the production of recycled aluminum, handheld and online analyzers are used to quickly identify the grade of aluminum ingots, detect the composition of molten aluminum in real time, precisely control the raw materials and smelting process, and improve product quality and production efficiency.
APPLICATION SCENARIOS
应用场景
In the ore prospecting/mining process, handheld and online analyzers are used to achieve rapid detection of field ores and cores, accurately determine grades, evaluate resource potential, provide data support for exploration and mining decisions, improve efficiency and reduce costs.
The beneficiation process uses an on - line component analyzer to detect the ore grade in real - time, dynamically adjust the process parameters, improve the recovery rate, stabilize the concentrate grade, reduce energy consumption, and achieve intelligent control of the beneficiation process.
In the ore trade, a cross-belt online analyzer is adopted to achieve real-time full-element detection of coal and iron ore. The accuracy is benchmarked against laboratory standards. It is used for port transshipment and factory acceptance, facilitating intelligent control of trade and acceptance.
APPLICATION SCENARIOS
应用场景
The tea processing adopts an on-line component analyzer to quickly detect the content of tea polyphenols, promote the digital control of tea production, improve the quality control efficiency of raw materials and production, and facilitate tea traceability and high - end premium.
APPLICATION SCENARIOS
应用场景
The brine detection for lithium extraction from salt lakes adopts an online analyzer to achieve online detection of multiple brine parameters, promote the digital control of lithium extraction production, and facilitate the optimization of the green and efficient lithium extraction process.