Coal on-line analyse equipment based on laser induced spectral and nerve network technology

A technology of laser-induced spectroscopy and analysis equipment, applied in the field of automatic measurement, can solve the problems that the sampling system is difficult to adapt to different industrial environments, does not give the industrial analysis results of operators, and affects the normal use of equipment, so as to avoid the reduction of thermal efficiency, The effect of stable measurement results and avoidance of accidents

Inactive Publication Date: 2007-02-14
太原市海通自动化技术有限公司
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Problems solved by technology

[0010] The problem existing in the existing technology is that the sampling system is difficult to adapt to different industrial environments. For example, in the process of conveying by belts, pipelines, wind power, automobiles and other transportation machinery, it is necessary to replace the sampling device according to different transportation machinery in order to meet the requirements of automatic analysis. Require
Optical lenses and mirrors are used in laser spectrum analysis related equipment. When there is vibration, slight changes in the positions

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  • Coal on-line analyse equipment based on laser induced spectral and nerve network technology
  • Coal on-line analyse equipment based on laser induced spectral and nerve network technology
  • Coal on-line analyse equipment based on laser induced spectral and nerve network technology

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[0079] Hereinafter, the present invention will be further described with reference to the accompanying drawings and embodiments, but the embodiments of the present invention are not limited to this.

[0080] As attached figure 1 As shown, an online coal quality detection and analysis equipment of the present invention includes a negative pressure sampling component 1, an analysis box 2, a signal acquisition control module 3, a protection component 4, a spectrum acquisition and analysis component 5, a remote signal transmission interface 7 and a manual based Neural network signal processor 6.

[0081] The negative pressure sampling component 1 includes a negative pressure generator 8, a dust collector 9, a powder return processing component 10, a powder discharge valve 11, a purge valve 14, a powder discharge valve 15, a vibrator 17, a lower powder level measurement sensor 16, a top Powder level measurement sensor 18, cyclone powder collector 19, negative pressure control valve 20...

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Abstract

An on-line analyzing and detecting device of coal quality is prepared as shining sample to be analyzed by laser to generate induced light spectrum; collecting said spectrum by CCD image transducer and image collection control circuit and calculating to obtain vector E of character element content in raw coal by signal processor; sending vector E into BP neural network for carrying out conversion to obtain heating value, water content, ash content, volatile composition and fixed carbon of raw coal; utilizing neural network to predict slagging index and temperature of ash melted point of raw coal.

Description

1. Technical field [0001] The invention belongs to the field of automatic measurement technology and the field of application of artificial intelligence technology, in particular to an instrument and system for elemental analysis of coal quality in industrial production process and on-line measurement of industrial analysis indexes. 2. Background technology [0002] With the development of the national economy, the consumption of raw coal has continued to increase. In the past two years, the supply of coal resources in the country has been tight, especially the coal used for electric power is in an all-round emergency. Coal supply is increasingly market-oriented and diversified, resulting in increased fluctuations in coal quality, miscellaneous coal types, and increased difficulty in controlling coal quality into the furnace, which makes the coal fired by the boiler deviate from the designed coal type, and the stable combustion of the boiler is damaged, resulting in obvious e...

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Application Information

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IPC IPC(8): G01N21/64G06F17/00
Inventor 张生俊阎高伟李平柱罗振宏王红兵王学钦
Owner 太原市海通自动化技术有限公司
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