coal-fired power plant
Bid farewell to empirical regulation and achieve full-process visualization of coal quality
products
Taichu Intelligence Test Application Scenario
——Focus on real-time, full-element analysis of bulk materials——
Application Product: Online Component Analyzer
Online Inspection of Raw Coal Into Plant
Online Inspection of Clean Coal Entering the Plant relies on multi-modal detection technology to real-time monitor indicators such as ash content, moisture and sulfur content of clean coal during the incoming transportation link. It replaces traditional manual offline laboratory testing, eliminates detection lag and improves acceptance efficiency. The system accurately controls the quality of incoming coal, avoids trade risks, provides data support for the regulation of downstream processes, achieves cost reduction and efficiency improvement, and promotes the intelligent and digital upgrading of the enterprise's incoming coal quality inspection.
Application Product: Online Component Analyzer
Online Inspection of Coal Blending Bunkering
Online inspection for coal blending bunkering relies on multi-modal detection technology to conduct real-time online measurement of key indicators of each single coal type during the coal blending and bunkering process. It replaces traditional manual offline laboratory testing, provides real-time data support for the dynamic adjustment of coal blending ratios, stabilizes furnace-feed coal quality, guarantees product performance, optimizes the coal blending structure and reduces raw material costs. It also promotes the intelligent and digital upgrading of the coal blending process and achieves cost reduction and efficiency improvement.
Application Product: Online Component Analyzer
Online Detection Before Mixed Coal Feeding into Furnace
Online detection of mixed coal before furnace feeding adopts multi-modal technology to real-timely monitor key indicators such as ash content, moisture and calorific value during mixed coal bunkering and before furnace feeding. It replaces the traditional lagging laboratory testing, stabilizes furnace conditions, optimizes coal blending, reduces costs and improves efficiency, and realizes precise quality control and intelligent upgrading of mixed coal before entering the furnace.
products
Application case of Taichu Zhice
——Focus on real-time, full-element analysis of bulk materials——
Taiyuan Chemical New Materials of XX Group
As a large domestic coal producer, the Group faces severe fluctuation in raw coal quality on the main conveyor belts. Traditional manual sampling and laboratory testing suffer from significant time lag, failing to provide real-time data support for coal washing and processing. Meanwhile, variations in raw coal thickness and moisture interference lead to insufficient detection accuracy, restricting the improvement of production efficiency and economic benefits. This project has successfully verified the mature application of dual-frequency composite coal quality analysis technology in raw coal detection on main conveyor belts of coal mines. It provides a replicable and implementable benchmark solution for the intelligent upgrading of large domestic coal mines and coal washing plants. The solution effectively realizes "controlling coal quality from the source and boosting efficiency driven by data", supporting the high-quality development of the coal industry.
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