Method for intelligently monitoring wear states of easily-worn parts of power plant coal mill based on MSET

A wear state, intelligent power plant technology, applied in the direction of grain processing, etc., can solve the problems of difficult online monitoring of the wearable parts of the coal mill, difficult online monitoring, and easy wear of the coal mill, so as to facilitate timely adjustment and prevent waste of resources , Improve the effect of economy

Active Publication Date: 2022-01-04
ZHEJIANG ZHENENG TECHN RES INST +1
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an MSET-based monitoring method for the wear state of the wearable parts of the coal mill in an intelligent power plant, aiming at the current situation that the wearable parts of the coal mill are difficult to monitor online, so as to solve the problem that the wearable parts of the coal mill are difficult to monitor online

Method used

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  • Method for intelligently monitoring wear states of easily-worn parts of power plant coal mill based on MSET
  • Method for intelligently monitoring wear states of easily-worn parts of power plant coal mill based on MSET
  • Method for intelligently monitoring wear states of easily-worn parts of power plant coal mill based on MSET

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Effect test

Embodiment 1

[0047] Embodiment 1 of the present application provides a method such as figure 1The MSET-based monitoring method for wear status of wearable parts of coal mills in smart power plants:

[0048] Step 1. Obtain the historical data of the measuring points of the wear state of the wearable parts of the coal mill under different working conditions;

[0049] Step 1.1. Select the modeling parameters from the monitoring parameters of the HP type medium-speed coal mill in Table 1; or expand the dimension of the monitoring parameters of the coal mill to obtain the modeling parameters; the monitoring parameters of the coal mill include the influence of stones Parameters of coal discharge rate, characteristic parameters of coal type, characteristic parameters of roller and bowl gap and dynamic and static gap of air ring; modeling parameters are shown in Table 2;

[0050] Table 1 Main monitoring parameters of HP type medium-speed coal pulverizer

[0051] parameter name unit ...

Embodiment 2

[0078] On the basis of the first embodiment, the second embodiment of the present application provides the application of the MSET-based monitoring method for the wear state of the wearing parts of the intelligent power plant coal mill in the first embodiment in actual situations:

[0079] One model HP1203 coal mill, the pebble coal weighing and measuring device is fixed on the ground under the pebble coal operation box of the coal mill. The pebble coal weighing and measuring device has the function of accumulative pebble coal weight measurement, which is realized by a microcomputer device Display of the real-time weight m of pebble coal in the current operation box and the display of the hourly cumulative weight M(t) and related query functions.

[0080] The wear state monitoring method of the wearable parts of the coal mill based on the amount of pebble coal is as follows:

[0081] (a) First, adjust the HP1203 coal mill with the grinding rollers, bowl lining, air ring, and s...

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Abstract

The invention relates to a method for intelligently monitoring wear states of easily-worn parts of a power plant coal mill based on MSET. The method comprises the following steps: obtaining measuring point historical data capable of reflecting the wear states of the easily-worn parts of the coal mill under different working conditions; establishing a coal mill wear state monitoring and early warning model by using a multivariate state estimation technology, wherein the main purpose of establishing the model is to monitor the wear states of the easily-worn parts of the coal mill; evaluating the wear gap state of the coal mill according to the pebble coal emission rate of the coal mill, performing corresponding early warning, and overhauling and adjusting the wear parts in the coal mill. The method has the beneficial effects that pebble coal is quantitatively metered, external monitoring data of the internal wear state of the coal mill can be obtained, the pebble coal emission amount is monitored in real time, the proper pebble coal emission rate can be controlled, the increase of power consumption of pulverizing and the aggravation of the wear of the coal mill caused by excessively low emission of the pebble coal are avoided, and the resource waste caused by excessively high emission of the pebble coal is avoided.

Description

technical field [0001] The invention belongs to the field of safe and economical operation of coal pulverizers in coal-fired power plants, and in particular relates to an MSET-based intelligent monitoring method for the wearing state of wearable parts inside the coal pulverizers of intelligent power plants. Background technique [0002] The amount of pebble coal in the medium-speed coal mill can reflect the degree of wear of the easily worn parts in the coal mill, such as the wear degree of the grinding roller, the grinding bowl liner, and the dynamic and static gap of the air ring. Therefore, the amount of pebble coal is a very important monitoring parameter, but it is currently easy to wear The components lack effective monitoring methods, and the power plant’s monitoring of pebble coal is only when the pebble coal accumulates to a certain height in the pebble coal bucket, triggering a high-level switching alarm to remind operators to discharge the pebble coal. The wear de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B02C25/00
CPCB02C25/00
Inventor 吴业成袁伟中金宏伟孙永平张震伟屠海彪陆金奇王豆姜志锋傅骏伟
Owner ZHEJIANG ZHENENG TECHN RES INST
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