CN102588940A - Method for comprehensively evaluating state of scale cinder of heated surface of boiler - Google Patents

Method for comprehensively evaluating state of scale cinder of heated surface of boiler Download PDF

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Publication number
CN102588940A
CN102588940A CN2011104229016A CN201110422901A CN102588940A CN 102588940 A CN102588940 A CN 102588940A CN 2011104229016 A CN2011104229016 A CN 2011104229016A CN 201110422901 A CN201110422901 A CN 201110422901A CN 102588940 A CN102588940 A CN 102588940A
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factor
boiler
oxide skin
reheater
superheater
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Chinese (zh)
Inventor
丁士发
陶丽
王飞
刘进
张妮乐
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Shanghai Power Equipment Research Institute Co Ltd
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Shanghai Power Equipment Research Institute Co Ltd
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Abstract

The invention provides a method for comprehensively evaluating state of scale cinder of a heated surface of a boiler, which is characterized by including: the first step, reading online monitoring data of an superheater and a reheater of the boiler one time at each time interval and computing the thickness of the scale cinder online; the second step, building a fuzzy comprehensive evaluation model, comprehensively evaluating the state of the scale cinder of each measured point fuzzily according to the model, displaying results in rear time and/or storing the results in a local database. The method for comprehensively evaluating the state of scale cinder of the heated surface of the boiler has the advantages that comprehensive state of the scale cinder of the superheater and the reheater of the boiler can be evaluated online quickly in real time, and finally can be monitored and controlled online, oxidation state inside a high-temperature heated surface pipe can be acquired visually according to the comprehensive evaluation results, provides practical basis for operators to take reasonable control and protection measures according to different conditions, the superheater and the reheater of the boiler can be guaranteed to run safely during service time, and the technical effect of prolonging the service lives of the superheater and the reheater of the boiler is achieved.

Description

A kind of boiler heating surface oxide skin state comprehensive estimation method
Technical field
The present invention relates to a kind of boiler heating surface oxide skin state comprehensive estimation method, be used for boiler superheater, the comprehensive assessment of reheater oxide skin state are belonged to the boiler technology field.
Background technology
The developing stage that the generating set of present China has got into big capacity, high parameter, the supercritical unit of a collection of 600MW, 1000MW grade puts into operation in succession.Along with the raising of boiler parameter, the especially raising of vapor (steam) temperature, it is more outstanding such as the overtemperature problem that oxidation scale in the pipe causes that some are different from subcritical parameter.Big capacity super critical boiler generation booster that is in operation not only can cause huge direct economic loss, and since near the booster zone large stretch of pipe impaired, buried the hidden danger of continuous booster, have a strong impact on the safe operation of boiler.
For formation speed that slows down oxide skin in boiler superheater and the reheater tube and the booster that results in blockage that peels off of controlling oxide skin; Enhancing is to the digging utilization of power plant's data; Need further research superheater and the interior oxide skin generation of reheater tube state, develop boiler superheater and reheater oxide skin state integrated estimation system.
Summary of the invention
The purpose of this invention is to provide a kind of method that can carry out comprehensive assessment to the oxide skin state of boiler superheater and reheater.
In order to achieve the above object, technical scheme of the present invention has provided a kind of boiler heating surface oxide skin state comprehensive estimation method, it is characterized in that step is:
Step 1, one time period of every interval
Figure 820201DEST_PATH_IMAGE001
read a boiler superheater and a reheater online monitoring data and deposit in the database server and add up the history run time; This online monitoring data comprises that at least each screen of superheater respectively manages each screen of measuring point temperature and reheater and respectively manage the measuring point temperature, respectively manages the measuring point temperature and each screen of reheater is respectively managed the scale thickness that the measuring point temperature computation obtains each measuring point according to each screen of superheater;
Step 2, set up fuzzy synthetic evaluation model, according to this model the oxide skin state of each measuring point is carried out the fuzzy synthesis assessment, show during with fructufy and/or be saved in the local data base, its concrete steps are:
Step 2.1, the factor compositing factor domain that will influence oxide skin formation and peel off; I.e.
Figure 112959DEST_PATH_IMAGE002
=
Figure 311860DEST_PATH_IMAGE003
,
Figure 715159DEST_PATH_IMAGE004
,
Figure 911785DEST_PATH_IMAGE005
...,
Figure 666115DEST_PATH_IMAGE006
; Wherein,
Figure 340810DEST_PATH_IMAGE006
to be
Figure 864195DEST_PATH_IMAGE007
individual influences the factor that oxide skin forms and peels off;
Step 2.2; Confirm the evaluation index
Figure 207768DEST_PATH_IMAGE009
of
Figure 231722DEST_PATH_IMAGE008
individual different stage; ;
Figure 326696DEST_PATH_IMAGE011
;
Figure 661862DEST_PATH_IMAGE012
estimates the oxide skin state;
Step 2.3, confirm that each factor is to the membership function of each evaluation index in the factor domain
Figure 328467DEST_PATH_IMAGE002
; Again with the occurrence substitution membership function separately of each factor; Obtain each factor degree of membership separately; Thereby build single factor fuzzy matrix
Figure 407281DEST_PATH_IMAGE013
;
Figure 905259DEST_PATH_IMAGE014
; Wherein, The occurrence of each factor is the measured value of the current measuring point that obtains through step 1 and characteristic value of calculated value and each pipe of each screen of superheater and each each pipe of screen of reheater, and
Figure 447732DEST_PATH_IMAGE016
individual factor
Figure 737899DEST_PATH_IMAGE017
is corresponding to the degree of membership of
Figure 680448DEST_PATH_IMAGE018
individual evaluation index
Figure 56065DEST_PATH_IMAGE019
in the expression factor domain
Figure 565227DEST_PATH_IMAGE002
;
Step 2.4, the typical judgment matrix analytical method of employing are confirmed the weight coefficient of each factor in the factor domain , obtain the weight vector of being made up of weight coefficient
Figure 886935DEST_PATH_IMAGE020
;
Step 2.5, the suitable fuzzy operator
Figure 734805DEST_PATH_IMAGE021
of selection; Weight vector
Figure 660036DEST_PATH_IMAGE020
and single factor fuzzy matrix
Figure 822027DEST_PATH_IMAGE013
are synthesized; Obtain fuzzy comprehensive evoluation vector
Figure 149103DEST_PATH_IMAGE022
as fuzzy synthetic evaluation model; =
Figure 783664DEST_PATH_IMAGE024
; Wherein, The current measuring point of
Figure 546084DEST_PATH_IMAGE025
expression is to the degree of membership of
Figure 679998DEST_PATH_IMAGE008
individual evaluation index ; Get the pairing evaluation index of maximum in
Figure 972756DEST_PATH_IMAGE026
as the evaluation index of current measuring point oxide skin state, this evaluation index is shown in real time and/or is saved in the local data base;
Step 2.6, repeated execution of steps 2.3 to step 2.5 finish until all measuring points are all calculated.
Advantage of the present invention is to realize the quick online in real time assessment final realization in-service monitoring and the control of boiler superheater and reheater oxide skin comprehensive state; Can grasp oxidation situation in the heating surface tube intuitively through the comprehensive assessment result; For the operations staff takes reasonably control and safeguard measure that practical foundation is provided according to condition of different; Guarantee the safe operation in the phase under arms of boiler superheater and reheater, reached the technique effect in prolonged boiler superheater and reheater service life.
The specific embodiment
For making the present invention more obviously understandable, elaborate as follows with a preferred embodiment now.
The invention provides a kind of boiler heating surface oxide skin state comprehensive estimation method, step is:
Step 1, one time period of every interval
Figure DEST_PATH_DEST_PATH_IMAGE054
read a boiler superheater and a reheater online monitoring data and deposit in the database server and add up the history run time; This online monitoring data comprises that at least each screen of superheater is respectively managed the measuring point temperature and each screen of reheater is respectively managed the measuring point temperature; Respectively manage each screen of measuring point temperature and reheater according to each screen of superheater and respectively manage the scale thickness that the measuring point temperature computation obtains each measuring point; Wherein, The computational methods of scale thickness can be called the computational methods in " a kind of boiler superheater and reheater scale thickness on-line monitoring method " with reference to name, also can select those skilled in the art's The common calculation methods for use;
Step 2, set up fuzzy synthetic evaluation model, each measuring point is carried out the fuzzy synthesis assessment, show during with fructufy and/or be saved in the local data base, the steps include: according to this model
Step 2.1, basis form and peel off comprehensive serious analysis of influence factor to oxide skin; We take all factors into consideration from wall temperature, scale thickness, metal material composition (mainly considering the Cr component content), grain size, pipe geometric parameter five aspects, and setting these five characteristic informations is the factor domain.Therefore wall temperature, scale thickness, metal material composition, grain size, these five characteristic informations of pipe geometric parameter are set at factor domain
Figure DEST_PATH_287010DEST_PATH_IMAGE004
, i.e.
Figure DEST_PATH_41340DEST_PATH_IMAGE004
={
Figure DEST_PATH_637406DEST_PATH_IMAGE006
,
Figure DEST_PATH_160791DEST_PATH_IMAGE008
,
Figure DEST_PATH_99623DEST_PATH_IMAGE010
,
Figure DEST_PATH_DEST_PATH_IMAGE056
, }={ wall temperature, scale thickness, metal material composition, grain size, pipe geometric parameter };
Step 2.2, confirm four different stages evaluation index
Figure DEST_PATH_13352DEST_PATH_IMAGE018
,
Figure DEST_PATH_554055DEST_PATH_IMAGE020
,
Figure DEST_PATH_197526DEST_PATH_IMAGE022
and
Figure DEST_PATH_DEST_PATH_IMAGE060
estimate the oxide skin state, and
Figure DEST_PATH_641015DEST_PATH_IMAGE018
, ,
Figure DEST_PATH_714330DEST_PATH_IMAGE022
are Ji
Figure DEST_PATH_884411DEST_PATH_IMAGE060
@s REPEAT[G" excellent " expression scale thickness has no adverse effect to unit operation; " very " expression oxide skin has certain thickness, but unit operation is not still constituted influence, big thermal deviation occurs but should control unit, slows down the oxide skin speed of production; " generally " expression oxide skin has reached certain thickness, needs the temperature fluctuation in control startup and the furnace shutting down process, the input of control desuperheating water; " poor " expression oxide skin possibly peeled off at any time, and unit safety is had the significant adverse influence.
Step 2.3; Confirm that each factor is to the membership function of each evaluation index in the factor domain
Figure DEST_PATH_656058DEST_PATH_IMAGE004
; The present invention is through researching and analysing each factor; In conjunction with actual quantification research; Confirmed with the factor membership function that places an order
Figure DEST_PATH_DEST_PATH_IMAGE062
;
Figure DEST_PATH_DEST_PATH_IMAGE064
;
Figure DEST_PATH_DEST_PATH_IMAGE066
;
Figure DEST_PATH_DEST_PATH_IMAGE068
;
Figure DEST_PATH_DEST_PATH_IMAGE070
; Be respectively wall temperature; Scale thickness; The metal material composition; Grain size; Single factor membership function of pipe geometric parameter; Wherein
；
Figure DEST_PATH_DEST_PATH_IMAGE074
；
；
Figure DEST_PATH_DEST_PATH_IMAGE078
；
Figure DEST_PATH_DEST_PATH_IMAGE080
。
Again with the occurrence substitution membership function separately of each factor; Obtain each factor degree of membership separately; Thereby build single factor fuzzy matrix
Figure DEST_PATH_433128DEST_PATH_IMAGE026
; ; Wherein, Wall temperature and scale thickness are the measured value and the calculated value of current measuring point; Metal material composition, grain size and pipe geometric parameter are the characteristic value of each pipe of each screen of superheater and each each pipe of screen of reheater; The 1st factor
Figure DEST_PATH_340221DEST_PATH_IMAGE006
is corresponding to the degree of membership of the 2nd evaluation index
Figure DEST_PATH_803475DEST_PATH_IMAGE020
in the expression factor domain , and other elements in single factor fuzzy matrix by that analogy;
Step 2.4, the typical judgment matrix analytical method of employing are confirmed the weight coefficient of each factor in the factor domain
Figure DEST_PATH_521082DEST_PATH_IMAGE004
; Obtain the weight vector be made up of weight coefficient, its concrete steps are:
Step 2.4.1, from the factor domain
Figure DEST_PATH_920150DEST_PATH_IMAGE004
In appoint a pair of factor of getting
Figure DEST_PATH_845381DEST_PATH_IMAGE034
And , the two significance level is compared, obtain factor
Figure DEST_PATH_335268DEST_PATH_IMAGE034
With respect to factor
Figure DEST_PATH_505087DEST_PATH_IMAGE086
The significance level judgment value
Figure DEST_PATH_DEST_PATH_IMAGE088
, and the like, until with the factor domain
Figure DEST_PATH_55017DEST_PATH_IMAGE004
In all factors all relatively finish the significance level judgment value in twos
Figure DEST_PATH_467544DEST_PATH_IMAGE088
Definite method can be as shown in the table;
The significance level grade Annotate
Figure DEST_PATH_286912DEST_PATH_IMAGE034
With
Figure DEST_PATH_538902DEST_PATH_IMAGE086
" of equal importance " 		1 \
Figure DEST_PATH_953572DEST_PATH_IMAGE034
With
Figure DEST_PATH_519682DEST_PATH_IMAGE086
" important a little " 		3 \
With " obviously important " 5 \
With
Figure DEST_PATH_610949DEST_PATH_IMAGE086
" important strongly " 		7
Figure DEST_PATH_767124DEST_PATH_IMAGE034
With
Figure DEST_PATH_564179DEST_PATH_IMAGE086
" definitely important " 		9
Figure DEST_PATH_281337DEST_PATH_IMAGE034
With
Figure DEST_PATH_454829DEST_PATH_IMAGE086
Significance level between each grade 		One of 2,4,6,8 The judgment value intermediate value of two grades
Step 2.4.2, be row-coordinate with in the significance level judgment value
Figure DEST_PATH_731090DEST_PATH_IMAGE088
;
Figure DEST_PATH_404965DEST_PATH_IMAGE036
is ordinate; Obtain the judgment matrix
Figure DEST_PATH_DEST_PATH_IMAGE090
formed by all significance level judgment value, in the present embodiment:
；
Step 2.4.3, the maximum characteristic root
Figure DEST_PATH_DEST_PATH_IMAGE094
that calculates judgment matrix
Figure DEST_PATH_178886DEST_PATH_IMAGE090
and should maximum characteristic root corresponding unit character vector
Figure DEST_PATH_DEST_PATH_IMAGE096
; Unit character vector carried out obtaining after normalization is handled the weight vector
Figure DEST_PATH_DEST_PATH_IMAGE098
formed by weight coefficient; Wherein,
Figure DEST_PATH_486183DEST_PATH_IMAGE014
pairing weight coefficient of individual factor in
Figure DEST_PATH_DEST_PATH_IMAGE100
the expression factor domain
Figure DEST_PATH_236467DEST_PATH_IMAGE004
.
In the present embodiment;
Figure DEST_PATH_DEST_PATH_IMAGE102
,
Figure DEST_PATH_DEST_PATH_IMAGE104
.
Step 2.5 consistency check
In the middle of the process of weight allocation,, also to carry out consistency check for the reasonability that guarantees that weight coefficient distributes.So-called judgement uniformity refers to, and in judging each index importance process, each is harmonious between judging, the distribution principle that unlikely appearance is conflicting.Generally speaking, this consistency check is as judgment standard, as long as we just think that this weight allocation meets the requirements, and does not exist uniformity contradiction to coincident indicator within the range of permission with coincident indicator.This coincident indicator is expressed as:
Figure DEST_PATH_DEST_PATH_IMAGE106
; Wherein,
Figure DEST_PATH_DEST_PATH_IMAGE108
is the exponent number of said judgment matrix
Figure DEST_PATH_455145DEST_PATH_IMAGE090
; It is good more that coincident indicator trends towards the 0 explanation degree of consistency more; In the present embodiment with
Figure DEST_PATH_827220DEST_PATH_IMAGE102
and in
Figure DEST_PATH_897944DEST_PATH_IMAGE108
=5 substitution following formulas; Obtain its coincident indicator
Figure DEST_PATH_466198DEST_PATH_IMAGE110
= ; Satisfy index, explain that weight allocation is reasonable.
Step 2.6, the suitable fuzzy operator
Figure DEST_PATH_165032DEST_PATH_IMAGE042
of selection; Weight vector and single factor fuzzy matrix
Figure DEST_PATH_751183DEST_PATH_IMAGE026
are synthesized; Obtain fuzzy comprehensive evoluation vector as fuzzy synthetic evaluation model;
Figure DEST_PATH_364884DEST_PATH_IMAGE046
=
Figure DEST_PATH_DEST_PATH_IMAGE114
; Wherein, The current measuring point of
Figure DEST_PATH_DEST_PATH_IMAGE116
expression is to the degree of membership of the 1st evaluation index
Figure DEST_PATH_328029DEST_PATH_IMAGE018
; And the like; Get the pairing evaluation index of maximum in
Figure DEST_PATH_DEST_PATH_IMAGE118
as the evaluation index of current measuring point oxide skin state, this evaluation index is shown in real time and/or is saved in the local data base;
Step 2.7, repeated execution of steps 2.3 to step 2.6 finish until all measuring points are all calculated.
Said step 2 triggers with timing mode, its regularly trigger process be: initialization service routine blanking time.Db transaction is accomplished in operation, at first in timetable, inserts up-to-date data line, comprises corresponding ID and current time.Carry out superheater, the comprehensive assessment of reheater thermal oxide skin state through calling the base regime information of having gathered in the database, and then be saved in result of calculation in the local relevant database.Through relatively this calculate after accomplishing up-to-date ID number with the last ID that calculates when accomplishing, judge that these computational process data preserve whether success, if unsuccessful, then write abnormal cause and abnormal time in the text.Step 3, online evaluation result are distributed on the computer website browser; According to the browser end user is that the technical staff of power plant sends request; Through boiler superheater and reheater thermal deviation in the calculated/applied server calls database server and the real-time result of calculation of scale thickness; On web page server, form boiler superheater and reheater oxide skin state comprehensive assessment result, return to the browser end user, instruct boiler operatiopn.
The present invention has following characteristics:
1, the present invention is through set up oxide skin state fuzzy synthetic evaluation model first
In the inventive method; Introducing the method for fuzzy comprehensive evoluation first researchs and analyses heating surface oxide skin problem; Through having determined each influence factor of heating surface oxidizing process in a large number; Set up and met its qualitative change and the relevant membership function that influences the result, and taken all factors into consideration the influence factor of each side, made this model reflection heating surface oxide skin virtual condition of comprehensive objective reality comprehensively.
2, through boiler superheater and the reheater scale thickness on-line monitoring computer software with the VB language is installed on the calculated/applied server of boiler superheater and reheater oxide skin on-line monitoring; According to the time interval of software set; The boiler parameter of the on-line monitoring that from database server, reads, online in real time calculate high-temperature surface measuring point place scale thickness, the result that computational analysis draws; Deliver to database server again and preserve, supply web page server to call.
3, parameter measuring point and online computing system have two kinds of functions:
One provides the underlying parameter data of boiler on-line monitoring.
The 2nd, instruct the operation of boiler according to the online evaluation result of boiler superheater and reheater oxide skin state, degree of oxidation in the monitoring heating surface tube, for slowing down oxidation, harm reduction provides instructs foundation intuitively.
4, the online evaluation result of boiler superheater and reheater oxide skin state is distributed on the computer website browser; According to the browser end user is that the technical staff of power plant sends request; Through boiler superheater and reheater thermal deviation in the calculated/applied server calls database server and the real-time result of calculation of scale thickness; On web page server, form boiler superheater and reheater oxide skin state comprehensive assessment result, return to the browser end user, instruct boiler operatiopn.

Claims (5)

1. boiler heating surface oxide skin state comprehensive estimation method is characterized in that step is:
Step 1, one time period of every interval
Figure 612580DEST_PATH_IMAGE001
read a boiler superheater and a reheater online monitoring data and deposit in the database server and add up the history run time; This online monitoring data comprises that at least each screen of superheater respectively manages each screen of measuring point temperature and reheater and respectively manage the measuring point temperature, respectively manages the measuring point temperature and each screen of reheater is respectively managed the scale thickness that the measuring point temperature computation obtains each measuring point according to each screen of superheater;
Step 2, set up fuzzy synthetic evaluation model, according to this model the oxide skin state of each measuring point is carried out the fuzzy synthesis assessment, show during with fructufy and/or be saved in the local data base, its concrete steps are:
Step 2.1, the factor compositing factor domain
Figure 930429DEST_PATH_IMAGE002
that will influence oxide skin formation and peel off; I.e.
Figure 386337DEST_PATH_IMAGE002
=
Figure 371610DEST_PATH_IMAGE003
,
Figure 619052DEST_PATH_IMAGE004
,
Figure 424197DEST_PATH_IMAGE005
..., ; Wherein,
Figure 255067DEST_PATH_IMAGE006
to be
Figure 735727DEST_PATH_IMAGE007
individual influences the factor that oxide skin forms and peels off;
Step 2.2; Confirm the evaluation index
Figure 822948DEST_PATH_IMAGE009
of
Figure 231430DEST_PATH_IMAGE008
individual different stage;
Figure 720497DEST_PATH_IMAGE010
;
Figure 372059DEST_PATH_IMAGE011
;
Figure 151796DEST_PATH_IMAGE012
estimates the oxide skin state;
Step 2.3, confirm that each factor is to the membership function of each evaluation index in the factor domain
Figure 484688DEST_PATH_IMAGE002
; Again with the occurrence substitution membership function separately of each factor; Obtain each factor degree of membership separately; Thereby build single factor fuzzy matrix
Figure 299060DEST_PATH_IMAGE013
;
Figure 59206DEST_PATH_IMAGE014
; Wherein, The occurrence of each factor is the measured value of the current measuring point that obtains through step 1 and characteristic value of calculated value and each pipe of each screen of superheater and each each pipe of screen of reheater, and
Figure 131701DEST_PATH_IMAGE016
individual factor
Figure 125065DEST_PATH_IMAGE017
is corresponding to the degree of membership of
Figure 814148DEST_PATH_IMAGE018
individual evaluation index
Figure 816739DEST_PATH_IMAGE019
in
Figure 326239DEST_PATH_IMAGE015
the expression factor domain
Figure 462822DEST_PATH_IMAGE002
;
Step 2.4, the typical judgment matrix analytical method of employing are confirmed the weight coefficient of each factor in the factor domain
Figure 277807DEST_PATH_IMAGE002
, obtain the weight vector of being made up of weight coefficient
Figure 442072DEST_PATH_IMAGE020
;
Step 2.5, the suitable fuzzy operator of selection; Weight vector
Figure 162084DEST_PATH_IMAGE020
and single factor fuzzy matrix
Figure 539975DEST_PATH_IMAGE013
are synthesized; Obtain fuzzy comprehensive evoluation vector
Figure 140721DEST_PATH_IMAGE022
as fuzzy synthetic evaluation model;
Figure 541746DEST_PATH_IMAGE023
=
Figure 886140DEST_PATH_IMAGE024
; Wherein, The current measuring point of
Figure 56221DEST_PATH_IMAGE025
expression is to the degree of membership of
Figure 827868DEST_PATH_IMAGE008
individual evaluation index
Figure 778507DEST_PATH_IMAGE012
; Get the pairing evaluation index of maximum in
Figure 598695DEST_PATH_IMAGE026
as the evaluation index of current measuring point oxide skin state, this evaluation index is shown in real time and/or is saved in the local data base;
Step 2.6, repeated execution of steps 2.3 to step 2.5 finish until all measuring points are all calculated.
2. a kind of boiler heating surface oxide skin state comprehensive estimation method as claimed in claim 1, it is characterized in that: said step 2.4 comprises:
Step 2.4.1, from factor domain
Figure 951179DEST_PATH_IMAGE002
, appoint and get a pair of factor
Figure 831411DEST_PATH_IMAGE017
and ; Significance level to the two compares; Obtain the significance level judgment value
Figure 142558DEST_PATH_IMAGE028
of factor
Figure 893224DEST_PATH_IMAGE017
for factor
Figure 100215DEST_PATH_IMAGE027
; And the like, all factors all relatively finish in twos in factor domain
Figure 67789DEST_PATH_IMAGE002
;
Step 2.4.2, be row-coordinate with
Figure 556856DEST_PATH_IMAGE016
in the significance level judgment value ;
Figure 575628DEST_PATH_IMAGE018
is ordinate, obtains the judgment matrix of being made up of all significance level judgment value
Figure 925838DEST_PATH_IMAGE029
;
Step 2.4.3, the maximum characteristic root that calculates judgment matrix
Figure 953837DEST_PATH_IMAGE029
and should maximum characteristic root
Figure 528355DEST_PATH_IMAGE030
corresponding unit character vector
Figure 162598DEST_PATH_IMAGE031
; Unit character vector carried out obtaining after normalization is handled the weight vector
Figure 968060DEST_PATH_IMAGE032
formed by weight coefficient; Wherein,
Figure 960921DEST_PATH_IMAGE007
pairing weight coefficient of individual factor in
Figure 531897DEST_PATH_IMAGE033
the expression factor domain
Figure 653436DEST_PATH_IMAGE002
.
3. a kind of boiler heating surface oxide skin state comprehensive estimation method as claimed in claim 2; It is characterized in that: between said step 2.4 and said step 2.5, also comprise; Said weight coefficient is carried out consistency check; The steps include: to calculate coincident indicator
Figure 117096DEST_PATH_IMAGE034
; Wherein, is the exponent number of said judgment matrix
Figure 460670DEST_PATH_IMAGE029
, and it is good more that coincident indicator
Figure 303336DEST_PATH_IMAGE036
trends towards the 0 explanation degree of consistency more.
4. a kind of boiler heating surface oxide skin state comprehensive estimation method as claimed in claim 1; It is characterized in that: further comprise: step 3, the online evaluation result of oxide skin state is distributed on the computer website browser; According to the browser end user is that the technical staff of power plant sends request; Through boiler superheater and reheater thermal deviation in the calculated/applied server calls database server and the real-time result of calculation of scale thickness; On web page server, form boiler superheater and reheater oxide skin state comprehensive assessment result, return to the browser end user, instruct boiler operatiopn.
5. a kind of boiler heating surface oxide skin state comprehensive estimation method as claimed in claim 1; It is characterized in that: said step 2 triggers with timing mode, its regularly trigger process be: initialization service routine blanking time, db transaction is accomplished in operation; At first in timetable, insert up-to-date data line; Comprise corresponding ID and current time, carry out superheater, the comprehensive assessment of reheater thermal oxide skin state through calling the base regime information of having gathered in the database, and then be saved in result of calculation in the local relevant database; Through relatively this calculate after accomplishing up-to-date ID number with the last ID that calculates when accomplishing; Judge whether this computational process data preservation is successful, if unsuccessful, then writes abnormal cause and abnormal time in the text.
CN2011104229016A 2011-12-16 2011-12-16 Method for comprehensively evaluating state of scale cinder of heated surface of boiler Pending CN102588940A (en)

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Cited By (3)

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CN103678813A (en) * 2013-12-18 2014-03-26 广东电网公司电力科学研究院 Method for assessing high-temperature heating surface pipe oxide scales of ultra-supercritical unit boiler
WO2019095658A1 (en) * 2017-11-15 2019-05-23 东北大学 Design method of chemical cleaning scheme for superheater pipe of supercritical power station boiler
CN113587075A (en) * 2021-06-24 2021-11-02 华能巢湖发电有限责任公司 Control method for slowing down generation and falling of oxide skin in heating pipe of power station unit

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Application publication date: 20120718