LIBS coal quality on-line analysis system adopts laser probe coal quality analysis technology, which can realize real-time on-line rapid detection and analysis of coal quality. At the same time, it can measure a variety of indicators, no radioactive sources, and realize the whole process of automatic unattended. The system is advanced in technology, safe and reliable, economical in operation, and can meet the requirements of environmental protection. At the same time, it can minimize the impact of modification on coal conveying system equipment. LIBS laser on-line detection system can be connected to owner's SIS system.
LIBS coal quality on-line analysis system can realize intelligent control of uninterrupted coal sample collection, fractionation, crushing, drying, powder making, pie pressing, on-line detection, sample automatic packaging and coding, and realize unmanned operation.
In order to optimize the combustion of boilers in component-based intelligent power plants, it is necessary to construct an intelligent management and control platform for optimizing the whole process of fuel management, including scientific stacking, on-line coal discarding, intelligent blending, optimizing combustion, self-learning of blending knowledge, optimizing data mining of operation and so on, so as to provide basis for optimizing blending and balancing coal quality, peak-cutting, valley-filling and fine blending, and to ensure the economy and stability of coal into the furnace. Qualitative analysis;
The combination of LIBS on-line coal quality analysis system and visualized metering management system of coal feeding and separate warehouse provides guarantee for realizing on-line monitoring intelligent blending system.
Intelligent analysis platform containing comprehensive analysis data of incoming coal and incoming coal quality is constructed by LIBS test and conventional test. The database of incoming coal and incoming coal quality is established. The characteristic database of abnormal combustion (coking and fire extinguishing) of boiler is established. The data resources of fuel information of regional companies are shared. Through the correlation of coal quality indexes, the acceptance of incoming coal, storage management of coal yard and coal blending are guided. Blending and other work. The diagnostic model is established by using intelligent analysis tools, and the management of artificial judgment is optimized by using scientific analysis tools, and the abnormal data is alarmed.