CN110045594A - A kind of intelligent managing and control system and method for four main tubes of boiler state risk profile - Google Patents
A kind of intelligent managing and control system and method for four main tubes of boiler state risk profile Download PDFInfo
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- CN110045594A CN110045594A CN201910228050.8A CN201910228050A CN110045594A CN 110045594 A CN110045594 A CN 110045594A CN 201910228050 A CN201910228050 A CN 201910228050A CN 110045594 A CN110045594 A CN 110045594A
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- 238000000034 method Methods 0.000 title claims abstract description 15
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- 238000009529 body temperature measurement Methods 0.000 claims description 13
- 239000002184 metal Substances 0.000 claims description 13
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- 238000012423 maintenance Methods 0.000 claims description 11
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- 230000032683 aging Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000002485 combustion reaction Methods 0.000 claims description 3
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- 238000005260 corrosion Methods 0.000 claims description 3
- 238000013499 data model Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 3
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 claims description 3
- 239000010931 gold Substances 0.000 claims description 3
- 229910052737 gold Inorganic materials 0.000 claims description 3
- 230000003862 health status Effects 0.000 claims description 3
- 238000012917 library technology Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
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- 238000007670 refining Methods 0.000 claims description 3
- 239000004071 soot Substances 0.000 claims description 3
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- 230000036413 temperature sense Effects 0.000 claims description 2
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- 238000009434 installation Methods 0.000 abstract description 2
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- 229910000831 Steel Inorganic materials 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B9/00—Safety arrangements
- G05B9/02—Safety arrangements electric
- G05B9/03—Safety arrangements electric with multiple-channel loop, i.e. redundant control systems
Abstract
The present invention relates to a kind of intelligent managing and control systems and method for four main tubes of boiler state risk profile.Current tube wall temperature monitors system, and measuring point installation is less.The invention has the characteristics that being provided with temperature field in furnaces furnace roof spot temperature sensor on station boiler, furnace roof guided wave sensor, heating surface tube tube wall temperature sensor, scale thickness numerical value manual input device, guided wave sensor after furnace, temperature sensor after temperature field in furnaces furnace, water-cooling wall zone temperature sensor after temperature field in furnaces furnace, water cooling wall region guided wave sensor after furnace, temperature field in furnaces stokehold temperature sensor, stokehold guided wave sensor, tube wall temperature monitoring device in heating surface tube wall thickness detection data manual input device and furnace；Water cooling wall region guided wave sensor and stokehold guided wave sensor are connected to guided wave acquisition module after guided wave sensor, furnace after furnace roof guided wave sensor, furnace.It is less that the present invention solves the problems, such as that tube wall temperature monitoring system measuring point is installed.
Description
Technical field
The present invention relates to a kind of intelligent managing and control systems and method for four main tubes of boiler state risk profile.
Background technique
With the new industrial revolution development for taking the U.S. " industry internet " and Germany's " industry 4.0 " as representative, and " China
Manufacture 2025 ", the issuing and implementation of " internet+" action plan, digitizing technique just change industry in a manner of unprecedented
Production and operation way.And current large capacity, high parameter boiler unit constantly come into operation, and especially overcritical and ultra supercritical is used
Heat resisting steel grade is constantly promoted, and heating surface tubes in boilers anti-leak and the importance of safe operation supervision work are also higher and higher.It grinds
Study carefully heating surface tubes in boilers intelligence control technology, carries out boiler condition monitoring and risk profile is significant.
Current tube wall temperature monitors system, and measuring point installation is less, and the ununified theoretical foundation of data processing does not have yet
Consider temperature profile effect, does not more carry out the calculating of tube wall temperature equivalent according to heating surface tube scale thickness, more do not utilize
The correction that measuring point carries out temperature is tested in furnace on a small quantity；Metal overhaul data is not input in system, utilizes each big light maintenance
Data carry out analysis of trend to metal parts state；More not by guided wave sensor judgement leakage and tube wall temperature, burner hearth temperature
Degree field joins together to consider, comprehensive analysis whether tube bursting and leakage and accurate judgement position.
Publication date is on 07 13rd, 2016, in the Chinese patent of Publication No. CN105760936A, discloses a kind of base
The boiler blasting evaluation method for failure of thermodynamic state verification parameter on site, it is pre- that this method cannot carry out risk to four main tubes of boiler state
It surveys.
Summary of the invention
It is an object of the invention to overcome the above deficiencies in the existing technologies, and provide a kind of for four main tubes of boiler shape
The intelligent managing and control system and method for state risk profile both can solve tube wall temperature monitoring system measuring point and installed less, data processing
Unreasonable, as a result inaccurate problem, and metal overhaul data can be input in system, using each light maintenance data greatly to gold
Belong to unit status and carry out analysis of trend, moreover it is possible to combine the judgement leakage of guided wave sensor with tube wall temperature, fire box temperature field
Consider, comprehensive analysis whether tube bursting and leakage and accurate judgement position.
Technical solution used by the present invention solves the above problems is: this is used for the intelligence of four main tubes of boiler state risk profile
Managing and control system, it is characterized in that: including station boiler, temperature field in furnaces furnace roof spot temperature sensor, furnace roof guided wave sensor,
Guided wave sensor, temperature field in furnaces furnace after heating surface tube tube wall temperature sensor, scale thickness numerical value manual input device, furnace
Water cooling wall region guided wave sensor, boiler after water-cooling wall zone temperature sensor, furnace after temperature sensor, temperature field in furnaces furnace afterwards
Temperature field stokehold temperature sensor, stokehold guided wave sensor, heating surface tube wall thickness detection data manual input device, metal in furnace
Wall temperature monitoring device, temperature collecting module and guided wave acquisition module are provided with temperature field in furnaces furnace roof portion on the station boiler
Dress is manually entered in position temperature sensor, furnace roof guided wave sensor, heating surface tube tube wall temperature sensor, scale thickness numerical value
It sets, water-cooling wall regional temperature senses after temperature sensor, temperature field in furnaces furnace after guided wave sensor, temperature field in furnaces furnace after furnace
Water cooling wall region guided wave sensor, temperature field in furnaces stokehold temperature sensor, stokehold guided wave sensor, heating surface tube after device, furnace
Tube wall temperature monitoring device in wall thickness detection data manual input device and furnace；The temperature field in furnaces furnace roof spot temperature sensing
Water cooling wall region temperature after temperature sensor, temperature field in furnaces furnace after device, heating surface tube tube wall temperature sensor, temperature field in furnaces furnace
Tube wall temperature monitoring device is connected to temperature collecting module in degree sensor, temperature field in furnaces stokehold temperature sensor and furnace；
Water cooling wall region guided wave sensor and stokehold guided wave sensor after guided wave sensor, furnace after the furnace roof guided wave sensor, furnace
It is connected to guided wave acquisition module.
Furthermore, the invention also includes Temperature Treatment controller, guided wave processing redundant manipulator, guided waves to handle master control
Device processed, Temperature Treatment redundant manipulator, three-level host router, three-level net pair router, application program primary server, database
Primary server, application program redundant server, database redundancy server, second level network router, primary network station system, second level net
Network system and Third Class Network System, the primary network station system are connected by second level network router with two grade network system, are applied
Program primary server, database primary server, application program redundant server and database redundant server are all connected to second level
Network system；Third Class Network System is connected to application program primary server and the main service of database by three-level net pair router
Device, Third Class Network System are connected to application program redundant server and database redundant server by three-level host's router；
The temperature collecting module is connected to Temperature Treatment controller and Temperature Treatment redundant manipulator, the guided wave acquisition module connection
Master controller is handled to guided wave and guided wave handles redundant manipulator；Temperature Treatment controller, guided wave handle redundant manipulator, guided wave
Processing master controller and Temperature Treatment redundant manipulator are connected with Third Class Network System；The scale thickness numerical value is manually defeated
Enter device and heating surface tube wall thickness detection data manual input device is connected on Third Class Network System.
A kind of intelligent management-control method as described in for the intelligent managing and control system of four main tubes of boiler state risk profile, feature
Be: it is described intelligence management-control method the step of it is as follows:
(1) Three-dimensional monitor: combined data library technology, software technology, network technology, graph technology, establish a collection integrated service,
Data information, high visibility turn to integrated 3-dimensional digital platform, realize to heating surface tubes in boilers stereochemical structure, specifications and models,
Material carries out intuitive Three-dimensional Display, classified in combination with four pipes hidden danger point over the years and the data of leakage point, photographic intelligence,
It concludes, analysis, and positioned, inquired and showed in conjunction with three-dimensional stereo model；
(2) heating surface tubes in boilers leakage monitoring: set boiler, acoustics, electronics, computer, mechanical multidisciplinary technology pass through sensing
Device obtains the noise signal of furnace tube leakage in furnace, on the basis of eliminating the various Complex Noises interference of boiler operatiopn, utilizes meter
Calculation machine technology carries out voice print analysis by data processing, realizes the early prediction to leakage of boiler tubes, and judge to leak
Regional location and leakiness；
(3) wall temperature of heated surface monitors: establishing perfect tube wall temperature monitoring system, it is super to trace accident in a lot of accident cases
Warm data, it is proposed that install wall temperature measurement point, comprehensive monitoring Combustion Operation of Boilers and pipe overtemperature situation additional by root；And for upper vertical
Pipe, generation foreign matters from being blocked situation is less, and a small amount of wall temperature measurement point is arranged in subregion；Panel superheater outmost turns pipe is answered in the width direction
At least every screen arranges 1 measuring point；Every screen outermost pipe uniformly sets measuring point to Late reworking in the width direction, in the width direction
The full frame wall temperature measurement point of installing at both walls 1/4；High temperature superheater is in the width direction every several screen arranged for interval 1 surveys
Point is installed on every highest pipe of screen-wall temperature calculated value, while being arrived in 2~3 tube panels of high-temperature area in the width direction installing 4
5 measuring points；The arrangement principle of wall temperature measurement point and the arrangement principle of superheater are identical in the width direction for high temperature reheater；
(4) three-dimensional temperature field is simulated: being utilized the original models for temperature field of boiler, in conjunction with a large amount of temperature points at scene, is carried out model
Amendment, obtains and meets actual three-dimensional temperature field；
(5) equivalent temperature calculates: oxidated layer thickness and boiler operation time of the pipe sample to fiery side inner wall according to detection, foundation mark
Quasi- DL/T 654-2009 estimates pipe metal temperature；
(6) after estimating equivalents of metal wall temperature, (4) step three-dimensional temperature field temperature distributing analog and (5) step equivalent wall are utilized
Temperature calculates, and corrects tube wall temperature data obtained in (3) step, ultimately forms wall temperature final result, is used for overtemperature Risk-warning；
(7) it examines detection data storage: the data of the heating surface scale thickness data of all previous big light maintenance and pipe wall thickness is led to
It crosses manual input device and is input to system, system carries out analysis of trend to these data, and is commented using wall temperature and remaining life
Estimate model, assesses the risk status of heating surface tube；
(8) historical data trend analysis: self study generates normal operation data model and is diagnosed automatically subsequent according to data trend
Operation conditions；
(9) status monitoring and risk rating:
Risk management is carried out for heating surface tubes in boilers, identifies its existing failure mode during military service, analysis is lost
A possibility that effect and its severity of consequence evaluate its risk class, are examined by being monitored online, refining depth, lean
Change maintenance transformation, health status evaluation measures progress risk prevention system, to improve boiler operatiopn safety；
(10) final to assess boiler heating surface state risk situation according to the above analysis and calculated result.
Furthermore, in step (5) of the present invention, the metal temperature of 12Cr1MoVG pipe sample is estimated, it may be assumed that
lgx = - 6.839869 + 0.003860 T1 + 0.000283 T1 lgT
In formula:
X-is to fiery side oxidation layer on inner wall thickness；
T1- degrees Rankine；
T-pipe runing time.
Furthermore, in step (8) of the present invention, Power Plant DCS System is all made of boiler condition monitoring one-parameter threshold
Value alarm, intelligence control monitor multi-parameter self study Threshold Alerts using boiler condition.
Furthermore, it in step (9) of the present invention, files input by all previous big all data of light maintenance heating surface
Afterwards, the short-time overheating time is statisticallyd analyze, short-time overheating number, corrosion condition, soot blowing are washed away, wall thickness, aging grade, hardness, fortune
Row time, start-stop time, temperature rate, establish empirical model；According to association factor fuzzy control model, calculate corresponding
Nominal situation judges constant space；It is subsequent to calculate in real time automatically after being corrected by self study, judge potential risk；Failure work
Under condition, failure constant space, accurate judgement failure risk are calculated.
Compared with prior art, the present invention having the following advantages that and effect: being using sensing detection device and Information Network as base
Plinth, using filtration treatments information such as data mining technology, data identification technology, artificial intelligence technologys, by intelligence decision support system,
Security risk is known in advance, and for operational management, personnel provide aid decision.
Use of the invention can according to need online progress four main tubes of boiler state risk profile, enrich alloying technology supervision
Means, be equally beneficial for improve unit operation safety；Accident analysis can be carried out on the basis of blowing out is shut down simultaneously,
Accurate judgement leakage point；It can recorde and analyze a large amount of tube wall temperature and fire box temperature data simultaneously, correct pot in conjunction with size
Four thickness of pipe wall of furnace and scale thickness calculate true four main tubes of boiler wall temperature, the damages such as accurate judgement overtemperature；It can be with
The state of four main tubes of boiler is judged according to the tendency of all previous overhaul data.The intelligence of four main tubes of boiler state risk has been achieved
Control solves the problems, such as that current four main tubes of boiler leans on manpower adjustment, optimization operation to control booster entirely, has preferable economic benefit
And social benefit, solve the uncontrollable technical problem of current four main tubes of boiler.
Detailed description of the invention
It in order to illustrate the embodiments of the present invention more clearly and/or technical solution in the prior art, below will be to embodiment
And/or attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
It is only some embodiments of the present invention, for those of ordinary skill in the art, without creative efforts,
It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the structural representation in the embodiment of the present invention for the intelligent managing and control system of four main tubes of boiler state risk profile
Figure.
In figure: station boiler 1, temperature field in furnaces furnace roof spot temperature sensor 2, furnace roof guided wave sensor 3, heating surface tube
It is warm after guided wave sensor 6, temperature field in furnaces furnace after tube wall temperature sensor 4, scale thickness numerical value manual input device 5, furnace
Spend sensor 7, water cooling wall region guided wave sensor 9, boiler after water-cooling wall zone temperature sensor 8, furnace after temperature field in furnaces furnace
Temperature field stokehold temperature sensor 10, stokehold guided wave sensor 11, heating surface tube wall thickness detection data manual input device 12, furnace
Interior tube wall temperature monitoring device 13, temperature collecting module 14, guided wave acquisition module 15, Temperature Treatment controller 16, guided wave processing
Redundant manipulator 17, guided wave handle master controller 18, Temperature Treatment redundant manipulator 19, three-level host router 20, three-level net
Secondary router 21, application program primary server 22, database primary server 23, application program redundant server 24, database are superfluous
Remaining server 25, second level network router 26, primary network station system 27, two grade network system 28, Third Class Network System 29.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawing and by embodiment, and following embodiment is to this hair
Bright explanation and the invention is not limited to following embodiments.
Embodiment.
Referring to Fig. 1, the intelligent managing and control system in the present embodiment for four main tubes of boiler state risk profile includes station boiler
1, temperature field in furnaces furnace roof spot temperature sensor 2, furnace roof guided wave sensor 3, heating surface tube tube wall temperature sensor 4, oxidation
Temperature sensor 7, temperature field in furnaces after guided wave sensor 6, temperature field in furnaces furnace after skin thickness numerical value manual input device 5, furnace
Water cooling wall region guided wave sensor 9, temperature field in furnaces stokehold temperature sensor after water-cooling wall zone temperature sensor 8, furnace after furnace
10, stokehold guided wave sensor 11, heating surface tube wall thickness detection data manual input device 12, tube wall temperature monitoring device in furnace
13, temperature collecting module 14, guided wave acquisition module 15, Temperature Treatment controller 16, guided wave processing redundant manipulator 17, at guided wave
Manage master controller 18, Temperature Treatment redundant manipulator 19, three-level host router 20, three-level net pair router 21, application program
Primary server 22, database primary server 23, application program redundant server 24, database redundancy server 25, second level network
By device 26, primary network station system 27, two grade network system 28 and Third Class Network System 29.
Temperature field in furnaces furnace roof spot temperature sensor 2 is provided on station boiler 1 in the present embodiment, furnace roof guided wave passes
Guided wave sensor 6, pot after sensor 3, heating surface tube tube wall temperature sensor 4, scale thickness numerical value manual input device 5, furnace
Water cooling wall region is led after water-cooling wall zone temperature sensor 8, furnace after temperature sensor 7, temperature field in furnaces furnace after the furnace of furnace temperature field
Wave sensor 9, temperature field in furnaces stokehold temperature sensor 10, stokehold guided wave sensor 11, heating surface tube wall thickness detection data people
Tube wall temperature monitoring device 13 in work input unit 12 and furnace；Temperature field in furnaces furnace roof spot temperature sensor 2, heating surface tube gold
Belong to wall temperature sensor 4, water-cooling wall zone temperature sensor 8 after temperature sensor 7, temperature field in furnaces furnace after temperature field in furnaces furnace,
Tube wall temperature monitoring device 13 is connected to temperature collecting module 14 in temperature field in furnaces stokehold temperature sensor 10 and furnace；Furnace
Water cooling wall region guided wave sensor 9 and stokehold guided wave sensor 11 connect after guided wave sensor 6, furnace after top guided wave sensor 3, furnace
It is connected to guided wave acquisition module 15.
Primary network station system 27 in the present embodiment is connected by second level network router 26 with two grade network system 28, is applied
Program primary server 22, database primary server 23, application program redundant server 24 and database redundant server 25 connect
It is connected to two grade network system 28；Third Class Network System 29 is connected to application program primary server 22 by three-level net pair router 21
With database primary server 23, Third Class Network System 29 is connected to application program redundant server by three-level host router 20
24 and database redundant server 25；Temperature collecting module 14 is connected to Temperature Treatment controller 16 and Temperature Treatment Redundant Control
Device 19, guided wave acquisition module 15 are connected to guided wave processing master controller 18 and guided wave processing redundant manipulator 17；Temperature Treatment control
Device 16 processed, guided wave processing redundant manipulator 17, guided wave processing master controller 18 and Temperature Treatment redundant manipulator 19 are and three-level
Network system 29 is connected；Scale thickness numerical value manual input device 5 and heating surface tube wall thickness detection data manual input device
12 are connected on Third Class Network System 29.
The work step of the intelligent managing and control system for four main tubes of boiler state risk profile in the present embodiment is as follows:
(1) Three-dimensional monitor.Combined data library technology, software technology, network technology, graph technology, establish a collection integrated service,
Data information, high visibility turn to integrated 3-dimensional digital platform, realize to heating surface tubes in boilers stereochemical structure, specifications and models,
All parameters such as material carry out intuitive Three-dimensional Display, in combination with four pipes hidden danger point over the years and data, photo of leakage point etc.
Information is classified, is concluded, is analyzed, and is positioned, inquired and showed in conjunction with three-dimensional stereo model.
(2) heating surface tubes in boilers leakage monitoring.Gather the multidisciplinary technologies such as boiler, acoustics, electronics, computer, machinery, leads to
The noise signal that sensor obtains furnace tube leakage in furnace is crossed, on the basis of eliminating the various Complex Noises interference of boiler operatiopn,
Voice print analysis is carried out by data processing using computer technology, realizes the early prediction to leakage of boiler tubes, and judge
The regional location and leakiness leaked out.
(3) wall temperature of heated surface monitors.Perfect tube wall temperature monitoring system is established, thing can not be traced in a lot of accident cases
Therefore overtemperature data, it is proposed that install wall temperature measurement point, comprehensive monitoring Combustion Operation of Boilers and pipe overtemperature situation additional by root；And for top
Situations such as vertical tube, generation foreign matters from being blocked, is less, and separated regions arranges a small amount of wall temperature measurement point.Panel superheater outmost turns pipe is along wide
Spending direction at least every screen should arrange 1 measuring point.Every screen outermost pipe uniformly sets measuring point, edge to Late reworking in the width direction
Width direction installs full frame wall temperature measurement point at both walls 1/4.High temperature superheater is spaced cloth every several screens in the width direction
1 measuring point is set, is installed on every highest pipe of screen-wall temperature calculated value, while in 2~3 tube panels of high-temperature area in the width direction
Install 4 to 5 measuring points.The arrangement principle of wall temperature measurement point and the arrangement principle of superheater are identical in the width direction for high temperature reheater,
Low temperature superheater and low-temperature reheater are not required generally to arrange more wall temperature measurement point.
(4) three-dimensional temperature field is simulated
With the development of large-sized station boiler, capacity is increasing, and size of burner hearth is also increasing, thus is difficult real at the scene
Border measures institute's temperature value in need, needs to carry out three-dimensional temperature field sunykatuib analysis.Utilize the original models for temperature field of boiler, knot
A large amount of temperature points at scene are closed, Modifying model is carried out, obtains and meet actual three-dimensional temperature field.
(5) equivalent temperature calculates
Oxidated layer thickness and boiler operation time of the pipe sample to fiery side inner wall according to detection, establishing criteria DL/T 654-2009
Pipe metal temperature is estimated.Such as the metal temperature of estimation 12Cr1MoVG pipe sample, it may be assumed that
lgx = - 6.839869 + 0.003860 T1 + 0.000283 T1 lgT
In formula:
X-is to fiery side oxidation layer on inner wall thickness；
T1- degrees Rankine；
T-pipe runing time.
(6) after estimating equivalents of metal wall temperature, worked as using (4) step three-dimensional temperature field temperature distributing analog and (5) step
Calculation of Wall Temperature is measured, tube wall temperature data obtained in (3) step is corrected, ultimately forms wall temperature final result, is used for overtemperature risk
Early warning.
(7) detection data storage is examined
The data of the heating surface scale thickness data of all previous big light maintenance and pipe wall thickness are input to by manual input device
System, system carries out analysis of trend to these data, and can use wall temperature and thinned life appraisal model, assesses heating surface
The risk status of pipe.
(8) historical data trend analysis
Self study generates and operates normally data model, automatic to diagnose follow-up operation situation according to data trend.Power Plant DCS at present
System is all made of boiler condition monitoring one-parameter Threshold Alerts, and intelligence control monitors multi-parameter self study threshold value using boiler condition
Alarm.
(9) status monitoring and risk rating
Risk management is carried out for heating surface tubes in boilers, identifies its existing failure mode during military service, analysis is lost
A possibility that effect and its severity of consequence evaluate its risk class, are examined by being monitored online, refining depth, lean
Change the measures such as maintenance transformation, health status evaluation and carry out risk prevention system, to improve boiler operatiopn safety.
After input that all previous big all data of light maintenance heating surface are filed, short-time overheating time, short-time overheating are statisticallyd analyze
The parameters such as number, corrosion condition, soot blowing wash away, wall thickness, aging grade, hardness, runing time, start-stop time, temperature rate,
Establish empirical model.According to association factor fuzzy control model, calculates corresponding nominal situation and judge constant space；By certainly
It is subsequent to calculate in real time automatically after study amendment, judge potential risk.Under fault condition, failure constant space is calculated, is accurately sentenced
Disconnected failure risk.
It is specific as follows: nominal situation: k1X1+k2X2+……+knXn={y1,y2,y3,……,yn, it is as a result fuzzy at one
Within the scope of control；Fault condition: k1X1+k2X2+……+knXn={C1,C2,C3,……,Cn, as a result in a Fuzzy Control
Within the scope of system.
(10) final to assess boiler heating surface state risk situation according to the above analysis and calculated result.
In addition, it should be noted that, the specific embodiments described in this specification, the shape of parts and components are named
Title etc. can be different, and above content is only to structure of the invention example explanation described in this specification.It is all according to
According to equivalence changes or simple change that the invention patent design structure, feature and principle is done, it is included in this hair
In the protection scope of bright patent.Those skilled in the art can do described specific embodiment various
The mode that the modify or supplement or adopt of various kinds is similar substitutes, and without departing from structure of the invention or surmounts present claims
Range defined in book, is within the scope of protection of the invention.
Claims (6)
1. a kind of intelligent managing and control system for four main tubes of boiler state risk profile, it is characterised in that: including station boiler (1),
Temperature field in furnaces furnace roof spot temperature sensor (2), furnace roof guided wave sensor (3), heating surface tube tube wall temperature sensor (4),
Temperature sensor (7) after guided wave sensor (6), temperature field in furnaces furnace after scale thickness numerical value manual input device (5), furnace,
Water cooling wall region guided wave sensor (9), temperature field in furnaces after water-cooling wall zone temperature sensor (8), furnace after temperature field in furnaces furnace
Stokehold temperature sensor (10), stokehold guided wave sensor (11), heating surface tube wall thickness detection data manual input device (12), furnace
Interior tube wall temperature monitoring device (13), temperature collecting module (14) and guided wave acquisition module (15) are set on the station boiler (1)
It is equipped with temperature field in furnaces furnace roof spot temperature sensor (2), furnace roof guided wave sensor (3), heating surface tube tube wall temperature sensor
(4), temperature sensor after guided wave sensor (6), temperature field in furnaces furnace after scale thickness numerical value manual input device (5), furnace
(7), water cooling wall region guided wave sensor (9), boiler temperature after water-cooling wall zone temperature sensor (8), furnace after temperature field in furnaces furnace
Spend field stokehold temperature sensor (10), stokehold guided wave sensor (11), heating surface tube wall thickness detection data manual input device
(12) tube wall temperature monitoring device (13) and in furnace；The temperature field in furnaces furnace roof spot temperature sensor (2), heating surface tube gold
Water-cooling wall regional temperature senses after temperature sensor (7), temperature field in furnaces furnace after category wall temperature sensor (4), temperature field in furnaces furnace
Tube wall temperature monitoring device (13) is connected to temperature acquisition in device (8), temperature field in furnaces stokehold temperature sensor (10) and furnace
Module (14)；Water cooling wall region guided wave sensor after guided wave sensor (6), furnace after the furnace roof guided wave sensor (3), furnace
(9) and stokehold guided wave sensor (11) is connected to guided wave acquisition module (15).
2. the intelligent managing and control system according to claim 1 for four main tubes of boiler state risk profile, it is characterised in that: also
It is superfluous including Temperature Treatment controller (16), guided wave processing redundant manipulator (17), guided wave processing master controller (18), Temperature Treatment
Remaining controller (19), three-level host router (20), three-level net pair router (21), application program primary server (22), data
Library primary server (23), application program redundant server (24), database redundancy server (25), second level network router (26),
Primary network station system (27), two grade network system (28) and Third Class Network System (29), the primary network station system (27) pass through
Second level network router (26) is connected with two grade network system (28), application program primary server (22), database primary server
(23), application program redundant server (24) and database redundant server (25) are all connected to two grade network system (28)；Three
Grade network system (29) is connected to application program primary server (22) and the main service of database by three-level net pair router (21)
Device (23), Third Class Network System (29) are connected to application program redundant server (24) sum number by three-level host router (20)
According to library redundant server (25)；The temperature collecting module (14) is connected to Temperature Treatment controller (16) and Temperature Treatment redundancy
Controller (19), the guided wave acquisition module (15) are connected to guided wave processing master controller (18) and guided wave processing redundant manipulator
(17)；Temperature Treatment controller (16), guided wave processing redundant manipulator (17), guided wave processing master controller (18) and Temperature Treatment
Redundant manipulator (19) is connected with Third Class Network System (29)；The scale thickness numerical value manual input device (5) and by
Hot facial canal wall thickness detection data manual input device (12) is connected on Third Class Network System (29).
3. a kind of intelligence as described in any one of claim 1 ~ 2 for the intelligent managing and control system of four main tubes of boiler state risk profile
Management-control method, it is characterised in that: it is described intelligence management-control method the step of it is as follows:
(1) Three-dimensional monitor: combined data library technology, software technology, network technology, graph technology, establish a collection integrated service,
Data information, high visibility turn to integrated 3-dimensional digital platform, realize to heating surface tubes in boilers stereochemical structure, specifications and models,
Material carries out intuitive Three-dimensional Display, classified in combination with four pipes hidden danger point over the years and the data of leakage point, photographic intelligence,
It concludes, analysis, and positioned, inquired and showed in conjunction with three-dimensional stereo model；
(2) heating surface tubes in boilers leakage monitoring: set boiler, acoustics, electronics, computer, mechanical multidisciplinary technology pass through sensing
Device obtains the noise signal of furnace tube leakage in furnace, on the basis of eliminating the various Complex Noises interference of boiler operatiopn, utilizes meter
Calculation machine technology carries out voice print analysis by data processing, realizes the early prediction to leakage of boiler tubes, and judge to leak
Regional location and leakiness；
(3) wall temperature of heated surface monitors: establishing perfect tube wall temperature monitoring system, it is super to trace accident in a lot of accident cases
Warm data, it is proposed that install wall temperature measurement point, comprehensive monitoring Combustion Operation of Boilers and pipe overtemperature situation additional by root；And for upper vertical
Pipe, generation foreign matters from being blocked situation is less, and a small amount of wall temperature measurement point is arranged in subregion；Panel superheater outmost turns pipe is answered in the width direction
At least every screen arranges 1 measuring point；Every screen outermost pipe uniformly sets measuring point to Late reworking in the width direction, in the width direction
The full frame wall temperature measurement point of installing at both walls 1/4；High temperature superheater is in the width direction every several screen arranged for interval 1 surveys
Point is installed on every highest pipe of screen-wall temperature calculated value, while being arrived in 2~3 tube panels of high-temperature area in the width direction installing 4
5 measuring points；The arrangement principle of wall temperature measurement point and the arrangement principle of superheater are identical in the width direction for high temperature reheater；
(4) three-dimensional temperature field is simulated: being utilized the original models for temperature field of boiler, in conjunction with a large amount of temperature points at scene, is carried out model
Amendment, obtains and meets actual three-dimensional temperature field；
(5) equivalent temperature calculates: oxidated layer thickness and boiler operation time of the pipe sample to fiery side inner wall according to detection, foundation mark
Quasi- DL/T 654-2009 estimates pipe metal temperature；
(6) after estimating equivalents of metal wall temperature, (4) step three-dimensional temperature field temperature distributing analog and (5) step equivalent wall are utilized
Temperature calculates, and corrects tube wall temperature data obtained in (3) step, ultimately forms wall temperature final result, is used for overtemperature Risk-warning；
(7) it examines detection data storage: the data of the heating surface scale thickness data of all previous big light maintenance and pipe wall thickness is led to
It crosses manual input device and is input to system, system carries out analysis of trend to these data, and is commented using wall temperature and remaining life
Estimate model, assesses the risk status of heating surface tube；
(8) historical data trend analysis: self study generates normal operation data model and is diagnosed automatically subsequent according to data trend
Operation conditions；
(9) status monitoring and risk rating:
Risk management is carried out for heating surface tubes in boilers, identifies its existing failure mode during military service, analysis is lost
A possibility that effect and its severity of consequence evaluate its risk class, are examined by being monitored online, refining depth, lean
Change maintenance transformation, health status evaluation measures progress risk prevention system, to improve boiler operatiopn safety；
(10) final to assess boiler heating surface state risk situation according to the above analysis and calculated result.
4. the intelligent control side of the intelligent managing and control system according to claim 3 for four main tubes of boiler state risk profile
Method, it is characterised in that: in the step (5), estimate the metal temperature of 12Cr1MoVG pipe sample, it may be assumed that
lgx = - 6.839869 + 0.003860 T1 + 0.000283 T1 lgT
In formula:
X-is to fiery side oxidation layer on inner wall thickness；
T1- degrees Rankine；
T-pipe runing time.
5. the intelligent control side of the intelligent managing and control system according to claim 3 for four main tubes of boiler state risk profile
Method, it is characterised in that: in the step (8), Power Plant DCS System is all made of boiler condition monitoring one-parameter Threshold Alerts, intelligence
Control monitors multi-parameter self study Threshold Alerts using boiler condition.
6. the intelligent control side of the intelligent managing and control system according to claim 3 for four main tubes of boiler state risk profile
Method, it is characterised in that: in the step (9), after input that all previous big all data of light maintenance heating surface are filed, statistically analyze short
When overheat time, short-time overheating number, corrosion condition, soot blowing wash away, wall thickness, aging grade, hardness, runing time, start and stop time
Number, temperature rate, establish empirical model；According to association factor fuzzy control model, corresponding nominal situation judgement is calculated
Constant space；It is subsequent to calculate in real time automatically after being corrected by self study, judge potential risk；Under fault condition, failure is calculated
Constant space, accurate judgement failure risk.
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| CN110750872A (en) * | 2019-09-24 | 2020-02-04 | 若普自动化技术（北京）有限公司 | Boiler metal wall temperature data analysis system and method |
| CN111237737A (en) * | 2020-01-16 | 2020-06-05 | 上海锅炉厂有限公司 | Heating surface pipe segmented positioning method applied to intelligent operation and maintenance of boiler |
| CN111339178A (en) * | 2020-02-25 | 2020-06-26 | 上海锅炉厂有限公司 | Visualization method for heating surface pipe material and maintenance state in boiler operation and maintenance |
| CN113111519A (en) * | 2021-04-16 | 2021-07-13 | 南京金创有色金属科技发展有限公司 | Method for judging overtemperature interval and overtemperature time of 20G boiler water wall tube explosion |
| CN113379072A (en) * | 2021-05-08 | 2021-09-10 | 苏州西热节能环保技术有限公司 | State maintenance method for boiler heating surface of thermal power plant |
| CN113836821A (en) * | 2021-10-26 | 2021-12-24 | 华电莱州发电有限公司 | Boiler water wall tension crack online prediction method |
| CN113898938A (en) * | 2021-10-29 | 2022-01-07 | 江苏双良锅炉有限公司 | Superheater self-diagnosis system and early warning method thereof |
| CN114324744A (en) * | 2021-11-26 | 2022-04-12 | 国家能源集团科学技术研究院有限公司 | Method for evaluating operation safety condition of T92 short connecting pipe of thermal power generating unit |
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| CN113379072A (en) * | 2021-05-08 | 2021-09-10 | 苏州西热节能环保技术有限公司 | State maintenance method for boiler heating surface of thermal power plant |
| CN113836821A (en) * | 2021-10-26 | 2021-12-24 | 华电莱州发电有限公司 | Boiler water wall tension crack online prediction method |
| CN113836821B (en) * | 2021-10-26 | 2023-11-28 | 华电莱州发电有限公司 | Online prediction method for boiler water wall cracking |
| CN113898938A (en) * | 2021-10-29 | 2022-01-07 | 江苏双良锅炉有限公司 | Superheater self-diagnosis system and early warning method thereof |
| CN113898938B (en) * | 2021-10-29 | 2023-04-28 | 江苏双良锅炉有限公司 | Superheater self-diagnosis system and early warning and alarming method thereof |
| CN114324744A (en) * | 2021-11-26 | 2022-04-12 | 国家能源集团科学技术研究院有限公司 | Method for evaluating operation safety condition of T92 short connecting pipe of thermal power generating unit |
| CN114324744B (en) * | 2021-11-26 | 2024-04-02 | 国家能源集团科学技术研究院有限公司 | Assessment method for operation safety condition of T92 nipple of thermal power generating unit |
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