CN106774077A - A kind of boiler dusting deashing device fault early warning method based on decision tree system - Google Patents

A kind of boiler dusting deashing device fault early warning method based on decision tree system Download PDF

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Publication number
CN106774077A
CN106774077A CN201611238787.0A CN201611238787A CN106774077A CN 106774077 A CN106774077 A CN 106774077A CN 201611238787 A CN201611238787 A CN 201611238787A CN 106774077 A CN106774077 A CN 106774077A
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CN
China
Prior art keywords
deashing device
decision tree
boiler
tree system
boiler dusting
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201611238787.0A
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Chinese (zh)
Inventor
刘海涛
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Hunan Kun Yu Network Technology Co Ltd
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Hunan Kun Yu Network Technology Co Ltd
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Application filed by Hunan Kun Yu Network Technology Co Ltd filed Critical Hunan Kun Yu Network Technology Co Ltd
Priority to CN201611238787.0A priority Critical patent/CN106774077A/en
Publication of CN106774077A publication Critical patent/CN106774077A/en
Pending legal-status Critical Current

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Classifications

    • 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
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048—Monitoring; Safety
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23J—REMOVAL OR TREATMENT OF COMBUSTION PRODUCTS OR COMBUSTION RESIDUES; FLUES 
    • F23J1/00—Removing ash, clinker, or slag from combustion chambers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23J—REMOVAL OR TREATMENT OF COMBUSTION PRODUCTS OR COMBUSTION RESIDUES; FLUES 
    • F23J3/00—Removing solid residues from passages or chambers beyond the fire, e.g. from flues by soot blowers
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for

Abstract

The invention discloses a kind of boiler dusting deashing device fault early warning method based on decision tree system, comprise the following steps：Step (1), acquisition boiler room environment and boiler operating parameter data A, then boiler dusting deashing device fault critical B is obtained, set up dedusting deashing device failure error rate table T；Step (2)：Decision tree system is set up, contradistinction system is set up, decision tree system and contradistinction system are carried out into logic matches；Step (3)：Electronic sensor obtains real-time boiler dusting deashing device data transfer to decision tree system, obtains dedusting deashing device failure low value probability P high；Step (4)：If P is more than 0.8, console provides alarm；Step (5)：Boiler staff is confirmed after obtaining the alarm that console sends, if it is confirmed that rear boiler dusting deashing device breaks down and then illustrates decision tree system misjudgment, amendment decision tree system.The present invention realizes the automatization judgement of boiler dusting deashing device failure.

Description

A kind of boiler dusting deashing device fault early warning method based on decision tree system
Technical field
The invention belongs to early warning technology field, more particularly to a kind of boiler dusting deashing device based on decision tree system Fault early warning method.
Background technology
Current domestic each dedusting deashing device fault early warning system is provided with electronic sensor prompt system.Traditional electricity Sub- Fundamentals of Sensors are, by the low value high of dedusting deashing device failure, to be perceived the numerical value of each section by electronic sensor Timely feed back to central control system.Work points out to learn the height of boiler dusting deashing device failure by the picture and text of central control system Value.But high temperature, the corrosivity of stove water due to generator tube, a certain degree of influence are caused on electronic sensor so that removing Wrong estimate is caused in dirt deashing device failure value of feedback, or falsity occurs, to cause boiler staff to produce mistake Judgement causes major accident occur.And sensitivity electronic sensor high is expensive, replacing is difficult, and is replaced as frequently as making Family's very headache must be produced.So current domestic dedusting deashing device fault early warning system cannot accurately react removing for boiler Dirt deashing device failure low value high.Most electronic sensor uses electrochemical principle to the free metal ion in water before this Electrification is produced, the low value high of dedusting deashing device failure is pointed out by the transmission of electric signal.But it is underwater gold that furnace temperature is too high Category ion motion is active to cause certain interference to result.
The content of the invention
The purpose of the present invention is that and overcomes the deficiencies in the prior art, there is provided a kind of boiler based on decision tree system is removed Dirt deashing device fault early warning method, can immediate correction electronic sensor under circumstances data error, remind kettleman Make the situation of personnel's dedusting deashing device failure so that staff obtains an accurate dedusting deashing device failure situation, To ensure the operation of boiler normal table, to extend the life-span for using of electronic sensor, the maintenance cost of boiler is reduced, realized The automatization judgement of boiler dusting deashing device failure, accuracy of judgement no longer needs artificial judgment, and the work for mitigating staff is strong Degree.
To achieve these goals, the invention provides a kind of boiler dusting deashing device failure based on decision tree system Method for early warning, comprises the following steps：
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler dusting deashing device failure Critical value B, the mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, by the number in error rate table t Value sets up dedusting deashing device failure error rate table T after being quantified as the decimal between 0-1；
Step (2)：Dedusting deashing device failure error rate table T in step (1) builds as decision tree system skeleton Vertical decision tree system, while the historical data for obtaining staff's artificial judgment boiler dusting deashing device failure low value high is set up Contradistinction system, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler dusting deashing device data are obtained by electronic sensor, and is transmitted to decision tree system System, obtains dedusting deashing device failure low value probability P high after decision tree system repetition training；
Step (4)：Decision tree system judges the size of dedusting deashing device failure low value probability P high, if P is more than 0.8, Then explanation boiler dusting deashing device is broken down, and result is transferred to console by decision tree system, and console provides alarm and carries Show；If P is less than 0.8, illustrate that boiler dusting deashing device is normal, console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual dedusting deashing device of boiler Situation confirmed, if it is confirmed that rear boiler dusting deashing device normally then illustrates decision tree system misjudgment, now boiler Correct result is inputed to contradistinction system by staff, is corrected after now contradistinction system is matched with decision tree system logic again Decision tree system；If it is confirmed that rear boiler dusting deashing device breaks down and then illustrates decision tree system correct judgment；
Step (6)：Repeat step (3)-(5), so constantly circulation constantly corrects decision tree system until decision tree system Accuracy of judgement, no longer needs staff's artificial judgment boiler dusting deashing device failure situation.
Further, the formula of decision tree system meets in step (2)：
Wherein：XSIt is feedback score, XBHIt is convolution constant, KXIt is the converse feedback number of plies, SOIt is vector convolution constant, KOHIt is fixed Adopted vector constant collection, fpIt is subset probability, bHIt is counts, KhFor error in judgement is counted.
Beneficial effects of the present invention：The present invention can immediate correction electronic sensor under circumstances data error, carry The situation of boiler staff's dedusting deashing device failure of waking up so that staff family obtains an accurate dedusting deashing device Failure situation ensures the operation of boiler normal table, to extend the life-span for using of electronic sensor, reduces the maintenance of boiler Cost, realizes the automatization judgement of boiler dusting deashing device failure, and accuracy of judgement no longer needs artificial judgment, mitigates work people The labour intensity of member.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the flow chart of the embodiment of the present invention.
Specific embodiment
Invention is further illustrated below in conjunction with the accompanying drawings, but is not limited to the scope of the present invention.
Embodiment
As shown in figure 1, a kind of boiler dusting deashing device fault pre-alarming side based on decision tree system that the present invention is provided Method, comprises the following steps：
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler dusting deashing device failure Critical value B, the mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, by the number in error rate table t Value sets up dedusting deashing device failure error rate table T after being quantified as the decimal between 0-1；
Boiler room environmental data includes boiler room size, there is a several usable boilers, the species of boiler, when using Between, energy supply type etc..Boiler operating parameter data include furnace temperature, cigarette temperature, hydraulic pressure, vapour pressure, water inlet pump discharge, combustor temperature Degree, air channel data, dedusting deashing device etc..
Step (2)：Dedusting deashing device failure error rate table T in step (1) builds as decision tree system skeleton Vertical decision tree system, while the historical data for obtaining staff's artificial judgment boiler dusting deashing device failure low value high is set up Contradistinction system, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler dusting deashing device data are obtained by electronic sensor, and is transmitted to decision tree system System, obtains dedusting deashing device failure low value probability P high after decision tree system repetition training；
Step (4)：Decision tree system judges the size of dedusting deashing device failure low value probability P high, if P is more than 0.8, Then explanation boiler dusting deashing device is broken down, and result is transferred to console by decision tree system, and console provides alarm and carries Show；If P is less than 0.8, illustrate that boiler dusting deashing device is normal, console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual dedusting deashing device of boiler Situation confirmed, if it is confirmed that rear boiler dusting deashing device normally then illustrates decision tree system misjudgment, now boiler Correct result is inputed to contradistinction system by staff, is corrected after now contradistinction system is matched with decision tree system logic again Decision tree system；If it is confirmed that rear boiler dusting deashing device breaks down and then illustrates decision tree system correct judgment；
Step (6)：Repeat step (3)-(5), so constantly circulation constantly corrects decision tree system until decision tree system Accuracy of judgement, no longer needs staff's artificial judgment boiler dusting deashing device failure situation.
The formula of decision tree system meets in step (2)：
Wherein：XSIt is feedback score, XBHIt is convolution constant, KXIt is the converse feedback number of plies, SOIt is vector convolution constant, KOHIt is fixed Adopted vector constant collection, fpIt is subset probability, bHIt is counts, KhFor error in judgement is counted.
The present invention can immediate correction electronic sensor under circumstances data error, remind boiler staff's dedusting The situation of deashing device failure so that staff family obtains an accurate dedusting deashing device failure situation to ensure pot The operation of stove normal table, to extend the life-span for using of electronic sensor, reduces the maintenance cost of boiler, realizes boiler dusting The automatization judgement of deashing device failure, accuracy of judgement no longer needs artificial judgment, mitigates the labour intensity of staff.
General principle of the invention, principal character and advantages of the present invention has been shown and described above.The technology of the industry Personnel it should be appreciated that the present invention is not limited to the above embodiments, simply explanation described in above-described embodiment and specification this The principle of invention, various changes and modifications of the present invention are possible without departing from the spirit and scope of the present invention, these changes Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appending claims and its Equivalent is defined.

Claims (2)

1. a kind of boiler dusting deashing device fault early warning method based on decision tree system, it is characterised in that including following step Suddenly：
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler dusting deashing device fault critical Value B, the mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, by the numerical quantities in error rate table t Dedusting deashing device failure error rate table T is set up after turning to the decimal between 0-1；
Step (2)：Dedusting deashing device failure error rate table T in step (1) used as decision tree system skeleton, determine by foundation Plan tree system, while the historical data for obtaining staff's artificial judgment boiler dusting deashing device failure low value high sets up control System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler dusting deashing device data are obtained by electronic sensor, and is transmitted to decision tree system, certainly Dedusting deashing device failure low value probability P high is obtained after the training of plan tree system repeatedly；
Step (4)：Decision tree system judges the size of dedusting deashing device failure low value probability P high, if P is more than 0.8, says Bright boiler dusting deashing device is broken down, and result is transferred to console by decision tree system, and console provides alarm；Such as Fruit P is less than 0.8, then illustrate that boiler dusting deashing device is normal, and console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual dedusting deashing device situation of boiler Confirmed, if it is confirmed that rear boiler dusting deashing device normally then illustrates decision tree system misjudgment, now boiler work Correct result is inputed to contradistinction system by personnel, and decision-making is corrected after now contradistinction system is matched with decision tree system logic again Tree system；If it is confirmed that rear boiler dusting deashing device breaks down and then illustrates decision tree system correct judgment；
Step (6)：Repeat step (3)-(5), so constantly circulation constantly corrects decision tree system until decision tree system judges Accurately, staff's artificial judgment boiler dusting deashing device failure situation is no longer needed.
2. a kind of boiler dusting deashing device fault early warning method based on decision tree system according to claim 1, its It is characterised by, the formula of decision tree system meets in step (2)：
dX S d t = ( 1 - f p ) b H X B H - k h ( X S X B H K X + X S X B H ) ( S O K O H + S O ) X B H ;
Wherein：XSIt is feedback score, XBHIt is convolution constant, KXIt is the converse feedback number of plies, SOIt is vector convolution constant, KOHFor define to Amount constant collection, fpIt is subset probability, bHIt is counts, KhFor error in judgement is counted.
CN201611238787.0A 2016-12-28 2016-12-28 A kind of boiler dusting deashing device fault early warning method based on decision tree system Pending CN106774077A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1841422A (en) * 2005-02-08 2006-10-04 神马科技公司 Method and apparatus for optimizing operation of a power generating plant using artificial intelligence techniques
CN102435893A (en) * 2011-11-04 2012-05-02 国电南京自动化股份有限公司 Oil-immersed transformer fault diagnosis method based on self-adaptive genetic algorithm
WO2014022154A1 (en) * 2012-08-02 2014-02-06 Siemens Corporation Building a failure-predictive model from message sequences
US20150339586A1 (en) * 2015-07-31 2015-11-26 Brighterion, Inc. Method for calling for preemptive maintenance and for equipment failure prevention
CN106054104A (en) * 2016-05-20 2016-10-26 国网新疆电力公司电力科学研究院 Intelligent ammeter fault real time prediction method based on decision-making tree
CN106180619A (en) * 2016-08-12 2016-12-07 湖南千盟物联信息技术有限公司 A kind of system approach of casting process Based Intelligent Control

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1841422A (en) * 2005-02-08 2006-10-04 神马科技公司 Method and apparatus for optimizing operation of a power generating plant using artificial intelligence techniques
CN102435893A (en) * 2011-11-04 2012-05-02 国电南京自动化股份有限公司 Oil-immersed transformer fault diagnosis method based on self-adaptive genetic algorithm
WO2014022154A1 (en) * 2012-08-02 2014-02-06 Siemens Corporation Building a failure-predictive model from message sequences
US20150339586A1 (en) * 2015-07-31 2015-11-26 Brighterion, Inc. Method for calling for preemptive maintenance and for equipment failure prevention
CN106054104A (en) * 2016-05-20 2016-10-26 国网新疆电力公司电力科学研究院 Intelligent ammeter fault real time prediction method based on decision-making tree
CN106180619A (en) * 2016-08-12 2016-12-07 湖南千盟物联信息技术有限公司 A kind of system approach of casting process Based Intelligent Control

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