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Thermal power plant ball mill load soft-sensing method

A technology of soft measurement and thermal power plant, which is applied in measuring devices, testing of machines/structural components, and measurement of ultrasonic/sonic/infrasonic waves, etc. It can solve problems such as difficult detection of coal mill load

Inactive Publication Date: 2009-09-09
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a soft sensing method for the load detection of the cylindrical steel ball coal mill in a thermal power plant, so as to solve the problem that the load of the coal mill in a thermal power plant is difficult to detect for a long time

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  • Thermal power plant ball mill load soft-sensing method
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  • Thermal power plant ball mill load soft-sensing method

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Embodiment Construction

[0072] Taking the mid-storage pulverizing system of a thermal power plant as an example, a specific application of the present invention is given. The medium-storage pulverizing system is equipped with two coal mills, the model is DTM350 / 700, the speed is 17.57r / min, the design output is 60t / h, and the coal is fed by a belt-type weighing coal feeder. Its working process is: the coal feeder sends the raw coal in the raw coal bunker into the coal mill, and at the same time, hot air, cold air and recirculation air also enter the coal mill. The raw coal is crushed and ground, and the ground coal powder is transported out by the airflow , what comes out of the coal mill is the gas-powder mixture. After passing through the coarse powder separator, the over-coarse coal powder returns to the entrance of the coal mill for re-grinding, and the qualified coal powder is brought into the fine powder separator for gas-powder separation. The qualified pulverized coal falls into the pulverize...

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Abstract

The invention discloses a soft measuring method for the load of a coal mill in a thermal power plant, which is used to solve the problem that the load of a coal mill in a thermal power plant is difficult to detect for a long time. The invention obtains information that can only characterize the load of the mill by performing adaptive feature extraction on the noise, vibration and differential pressure signal of the mill, and fuzzily divides the coal grindability coefficient, coal moisture content, steel ball loading and load , establish the rules that can identify the working conditions and the fitting polynomials under each rule, and finally synthesize the output of all the rules to obtain the mill load. The coal mill load soft measurement method proposed in the present invention overcomes the shortcomings of previous detection methods that cannot adapt to changes in working conditions, and can obtain good accuracy and sensitivity under various working conditions, providing a guarantee for effective monitoring of the mill .

Description

technical field [0001] The invention relates to the technical field of automatic measurement, in particular to a soft measurement method for ball mill load in a thermal power plant. , self-adaptive feature information extraction, working condition fuzzy identification, rule-based self-adaptive weighting and other technical means, can timely give the load information of the ball mill according to the change of working conditions. Background technique [0002] The pulverizing system is one of the main auxiliary systems of thermal power plants. Because the steel ball mill has the strongest adaptability to coal types, it is the most widely used coal mill in China. The coal mill is the key equipment of the pulverizing system. Whether it can operate normally and in the best working condition is directly related to the working efficiency of the pulverizing system. Accurate monitoring of the mill load is a prerequisite for optimal control of the pulverizing system, so as to achieve...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M19/00G01M7/02G01H17/00B02C17/00G01M99/00
Inventor 司刚全曹晖张彦斌贾立新
Owner XI AN JIAOTONG UNIV
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