Coal feeder type coal quality composition online analysis device and analysis method
An analysis device and coal feeder technology, which is applied in the direction of measuring devices, analysis materials, instruments, etc., can solve the problems of large compositional analysis errors, low spectral resolution accuracy, and adjustment in the coal industry, so as to avoid unplanned shutdown and improve boiler efficiency , The effect of excellent spectrum resolution accuracy
Active Publication Date: 2017-01-04
NANJING LONGYUAN ENVIRONMENTAL CO LTD
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[0002] The existing coal quality online detection equipment is installed on the belt conveyor of the coal trestle, and the D-T neutron generator and the gamma detector are located under the belt conveyor, which can detect the composition of the coal quality entering the factory or furnace in real time, but the detected The coal quality data are mixed together after entering the raw coal bunker. In addition, the coal entering the raw coal bunker generally needs to be stored for a period of time before being burned. In this way, the coal quality at the outlet of the boiler burner can be predicted based on the coal seam distribution model of the raw coal bunker and the flow data of the coal feeder. There must be large errors in the data, which cannot be used to guide the adjustment of boiler combustion parameters
[0003] Existing coal quality on-line detection devices generally use algorithms such as peak area method, regression analysis method, and least square method in spectrum analysis. The common problem with these algorithms is that the accuracy of spectrum resolution is low, which directly leads to analysis errors in coal industry components. Large, unable to meet the actual needs of industrial sites
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[0019] Coal feeder-type coal quality composition online analysis device, please refer to the attached figure 1 , mainly including a coal feeding system, a detection system and a control system; the coal feeding system sequentially includes a coal feeder (1), a drop pipe (8), a U-shaped small belt (2), a shaper (4) and a discharge tube (7); the detection system includes a microwave receiver (5), a microwave transmitter (6) and a protective body (12) in sequence; a D-T neutron generator (9) is arranged on the upper side of the protective body (12) and BGO detector (10), D-T neutron generator (9) and BGO detector (10) are placed in lead block (11); the control system includes digital control neutron generator unit (16), spectrum acquisition and a control unit (15), a microwave data central processing unit (17), a computer data processing unit (14) and a display unit (13); the microwave transmitter (6) and the microwave receiver (5) are connected to the microwave data central proc...
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The invention discloses a novel coal quality online detection device and analysis method designed for a coal feeder. Main element contents and industrial analysis indexes of coal on the coal feeder can be online detected. By installing a pulsed neutron method coal quality online analyzer on the coal feeder, the online detection of combustor outlet coal quality is truly achieved, data accuracy is far higher than the accuracy of predicted coal quality data, the most accurate direct basis is provided for guiding the adjustment of boiler combustion parameters, boiler efficiency is improved by 0.1%, and meanwhile boiler safety is improved.
Description
technical field [0001] The present invention is a coal feeder type coal quality composition online analysis device, especially a new type of coal quality online detection device designed for the coal feeder, which can detect the coal main element content and industrial analysis indicators on the coal feeder online. Background technique [0002] The existing coal quality online detection equipment is installed on the belt conveyor of the coal trestle, and the D-T neutron generator and the gamma detector are located under the belt conveyor, which can detect the composition of the coal quality entering the factory or furnace in real time, but the detected The coal quality data are mixed together after entering the raw coal bunker. In addition, the coal entering the raw coal bunker generally needs to be stored for a period of time before being burned. In this way, the coal quality at the outlet of the boiler burner can be predicted based on the coal seam distribution model of the...
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IPC IPC(8): G01N33/22
CPCG01N33/222
Inventor 黄向阳李仁刚周启宏王宏
Owner NANJING LONGYUAN ENVIRONMENTAL CO LTD
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