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An intelligent monitoring method for coal quality components of coal mills in thermal power plants

An intelligent monitoring and coal pulverizer technology, applied in the field of monitoring, can solve problems such as coal blending, and achieve the effects of combustion optimization, high accuracy, and complete analysis data

Active Publication Date: 2019-04-12
NANJING INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But now the coal quality of the power plant is seriously mixed, and it changes greatly every day. The coal quality composition of different coal mills is also different. The daily test report cannot reflect the real coal quality change.

Method used

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  • An intelligent monitoring method for coal quality components of coal mills in thermal power plants
  • An intelligent monitoring method for coal quality components of coal mills in thermal power plants
  • An intelligent monitoring method for coal quality components of coal mills in thermal power plants

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Such as figure 1 As shown, this example is four medium-speed coal mills (i.e. K=4, and respectively recorded as coal mill 1, coal mill 2, coal mill 3, coal mill 4) as an example to illustrate the specific implementation of the present invention Way.

[0024] 1. Data used in monitoring technology

[0025] 1. Online collection of coal mill operation data

[0026]

[0027] 2. The data obtained according to the chart data of relevant regulations and specifications

[0028] serial number

physical quantity

code name

unit

value

1

Sealing air volume

Q s

t / h

3.8

2

Imported desiccant specific heat

C ag1

Nj / (kg·℃)

1.028

3

Sealed air specific heat

C s

1.014

4

Milling mechanical heat

q mac

Nj / kg

12

5

Coal moisture

M pc

％

1.5

6

Average specific heat of water vapor

C″ H2O

1.866

7

specific heat of water

C H2O

4....

Embodiment 2

[0072] The difference from Embodiment 1 is that the number of coal mills in this embodiment is five, that is, K=5, which are recorded as coal mill 1, coal mill 2, coal mill 3, coal mill 4 and coal mill respectively. Coal mill 5.

[0073] According to the heat balance formula, the raw coal moisture M of the five coal mills is solved separately 1j , M 2j , M 3j , M 4j and M 5j .

[0074] Continuously collect data at six times, namely:

[0075] Coal Mill 1: B m11 , B m12 , B m13 , B m14 , B m15 , B m16 ;

[0076] Coal Mill 2: B m21 , B m22 , B m23 , B m24 , B m25 , B m26 ;

[0077] Mill 3: B m31 , B m32 , B m33 , B m34 , B m35 , B m36 ;

[0078] Mill 4: B m41 , B m42 , B m43 , B m44 , B m45 , B m46 ;

[0079] Coal Mill 5: B m51 , B m52 , B m53 , B m54 , B m55 , B m56 ;

[0080] The total amount of coal at six moments is G 1 , G 2 , G 3 , G 4 , G 5 , G 6 ;

[0081] The unit loads at six moments are P 1 ,P 2 ,P 3 ,P 4 ,P 5 ,P 6 ;...

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Abstract

The invention discloses an intelligent monitoring method for the coal components of a heat-engine plant coal pulverizer. The method comprises the steps of 1) continuously collecting the operation data of each coal pulverizer, the coal amount of the coal pulverizer and the power generation load of a generator set; 2) respectively calculating the raw coal moisture MNJ and the equivalent electrical load QNJ of each coal pulverizer according to obtained data; 3) subjecting all coal components to proximate analysis, elemental analysis, calorific value analysis, ash fusion point analysis and combustion characteristic analysis, and establishing a coal component characteristic analysis database with the raw coal moisture MNJ and the equivalent electrical load QNJ as an index; 4) outputting the inquired characteristics of raw coal components with a raw coal moisture Mi and an equivalent electrical load Qi monitored during the operation of the coal pulverizer in real time as an index. On the condition that no inquired characteristic is obtained, the raw coal component of the coal pulverizer is deemed as a new coal component or a mixed coal component. After that, the new coal component or the mixed coal component is manually sampled to be subjected to coal component analysis and characteristic analysis, and then the obtained data of the new coal component or the mixed coal component are added into the coal component characteristic analysis database. According to the technical scheme of the invention, the coal characteristics of each coal pulverizer can be inquired in the online manner, and the advantages of high accuracy and complete analysis data are realized. Meanwhile, the boiler combustion is instructed to be optimized.

Description

technical field [0001] The invention belongs to the technical field of monitoring, and in particular relates to an intelligent monitoring method for coal quality components of a coal pulverizer in a thermal power plant. Background technique [0002] The coal quality composition of coal-fired coal in thermal power plants is the basis for the optimal operation of boilers. At present, coal sources in thermal power plants are complex, and combustion is carried out through layered blending and other methods, resulting in frequent fluctuations in the coal quality of each coal mill in the boiler and a large range of changes. It has a great influence on the optimal operation mode of boiler combustion performance. Therefore, it is necessary to grasp the current coal quality status of each coal mill in real time, so that the power plant operators can optimize and adjust operating parameters such as oxygen amount, air distribution mode, primary air rate, and coal fineness to improve bo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/22
CPCG01N33/222
Inventor 梁绍华
Owner NANJING INST OF TECH
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