CN106845084A - A kind of boiler induced-draft fan based on decision tree system blocks method for early warning - Google Patents

A kind of boiler induced-draft fan based on decision tree system blocks method for early warning Download PDF

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Publication number
CN106845084A
CN106845084A CN201611238754.6A CN201611238754A CN106845084A CN 106845084 A CN106845084 A CN 106845084A CN 201611238754 A CN201611238754 A CN 201611238754A CN 106845084 A CN106845084 A CN 106845084A
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China
Prior art keywords
decision tree
boiler
tree system
draft fan
boiler induced
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CN201611238754.6A
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Chinese (zh)
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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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Priority to CN201611238754.6A priority Critical patent/CN106845084A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

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  • Feeding And Controlling Fuel (AREA)
  • Regulation And Control Of Combustion (AREA)

Abstract

Method for early warning is blocked the invention discloses a kind of boiler induced-draft fan based on decision tree system, is comprised the following steps:Step (1), acquisition boiler room environment and boiler operating parameter data A, then boiler induced-draft fan blocking critical value B is obtained, set up air-introduced machine and block 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 induced-draft fan data transfer to decision tree system, obtains air-introduced machine and blocks low value probability P high;Step (4):If P is more than 0.8, boiler induced-draft fan is blocked, and console provides alarm;Step (5):Boiler staff is confirmed after obtaining the alarm that console sends, if it is confirmed that rear boiler induced-draft fan is unplugged then to illustrate decision tree system misjudgment, amendment decision tree system.The present invention realizes the automatization judgement that boiler induced-draft fan is blocked, accuracy of judgement.

Description

A kind of boiler induced-draft fan based on decision tree system blocks method for early warning
Technical field
The invention belongs to early warning technology field, more particularly to a kind of boiler induced-draft fan based on decision tree system blocks pre- Alarm method.
Background technology
Current domestic each air-introduced machine blocks early warning system and is provided with electronic sensor prompt system.Traditional electronic sensor Device principle is, in the low value high for blocking air-introduced machine, to be perceived by electronic sensor and timely feed back to the numerical value of each section Central control system.Work points out to learn the low value high that boiler induced-draft fan is blocked by the picture and text of central control system.But due to generator tube High temperature, the corrosivity of stove water, a certain degree of influence is caused on electronic sensor so that air-introduced machine block value of feedback on make Into wrong estimate, or there is falsity, cause major accident occur with the judgement for causing boiler staff generation mistake.And Sensitivity electronic sensor high it is expensive, replacing is difficult, and is replaced as frequently as so that producing family's very headache.So at present Domestic air-introduced machine block early warning system and cannot accurately react the air-introduced machine of boiler and block low value high.Most electronics before this Sensor produces electrification using electrochemical principle to the free metal ion in water, and air-introduced machine is pointed out by the transmission of electric signal The low value high for blocking.But it is that underwater gold belongs to that ion motion is active to cause certain interference to result that furnace temperature is too high.
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 draws Blower fan blocks method for early warning, can immediate correction electronic sensor under circumstances data error, remind boiler staff The situation that air-introduced machine is blocked so that staff obtains an accurate air-introduced machine stopping state to ensure boiler normal table Operation, to extend the life-span for using of electronic sensor, reduce boiler maintenance cost, realize boiler induced-draft fan block from Dynamicization judges that accuracy of judgement no longer needs artificial judgment, mitigates the labour intensity of staff.
To achieve these goals, the pre- police are blocked the invention provides a kind of boiler induced-draft fan based on decision tree system Method, comprises the following steps:
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler induced-draft fan blocking critical value B, the mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, by the numerical quantization in error rate table t Error rate table T is blocked to set up air-introduced machine after the decimal between 0-1;
Step (2):Air-introduced machine in step (1) blocks error rate table T as decision tree system skeleton, sets up decision-making Tree system, while the historical data for obtaining staff's artificial judgment boiler induced-draft fan blocking low value high sets up contradistinction system, will Decision tree system carries out logic and matches with contradistinction system;
Step (3):Real-time boiler induced-draft fan data are obtained by electronic sensor, and is transmitted to decision tree system, decision-making Air-introduced machine is obtained after tree system repeatedly training block low value probability P high;
Step (4):Decision tree system judges that air-introduced machine blocks the size of low value probability P high, if P is more than 0.8, illustrates Boiler induced-draft fan is blocked, and result is transferred to console by decision tree system, and console provides alarm;If P is less than 0.8, Then explanation boiler induced-draft fan is normal, and console will not provide alarm;
Step (5):After boiler staff obtains the alarm that console sends, feelings are blocked to the actual air-introduced machine of boiler Condition is confirmed, if it is confirmed that rear boiler induced-draft fan is unplugged then to illustrate decision tree system misjudgment, now boiler work people Correct result is inputed to contradistinction system by member, and decision tree is corrected after now contradistinction system is matched with decision tree system logic again System;If it is confirmed that rear boiler induced-draft fan is blocked 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 induced-draft fan stopping state.
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 that boiler staff air-introduced machine of waking up is blocked so that staff family obtains an accurate air-introduced machine stopping state, comes Ensure the operation of boiler normal table, to extend the life-span for using of electronic sensor, reduce the maintenance cost of boiler, realize pot The automatization judgement that stove air-introduced machine is blocked, accuracy of judgement no longer needs artificial judgment, mitigates the labour intensity of staff.
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 induced-draft fan based on decision tree system that the present invention is provided blocks method for early warning, including Following steps:
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler induced-draft fan blocking critical value B, the mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, by the numerical quantization in error rate table t Error rate table T is blocked to set up air-introduced machine after the decimal between 0-1;
Boiler room environmental data includes:Boiler room size, there is a several usable boilers, the species of boiler, uses Time, energy supply type etc..Boiler operating parameter data include:Furnace temperature, cigarette temperature, hydraulic pressure, vapour pressure, water inlet pump discharge, burning Machine temperature, air channel data, air-introduced machine etc..
Step (2):Air-introduced machine in step (1) blocks error rate table T as decision tree system skeleton, sets up decision-making Tree system, while the historical data for obtaining staff's artificial judgment boiler induced-draft fan blocking low value high sets up contradistinction system, will Decision tree system carries out logic and matches with contradistinction system;
Step (3):Real-time boiler induced-draft fan data are obtained by electronic sensor, and is transmitted to decision tree system, decision-making Air-introduced machine is obtained after tree system repeatedly training block low value probability P high;
Step (4):Decision tree system judges that air-introduced machine blocks the size of low value probability P high, if P is more than 0.8, illustrates Boiler induced-draft fan is blocked, and result is transferred to console by decision tree system, and console provides alarm;If P is less than 0.8, Then explanation boiler induced-draft fan is normal, and console will not provide alarm;
Step (5):After boiler staff obtains the alarm that console sends, feelings are blocked to the actual air-introduced machine of boiler Condition is confirmed, if it is confirmed that rear boiler induced-draft fan is unplugged then to illustrate decision tree system misjudgment, now boiler work people Correct result is inputed to contradistinction system by member, and decision tree is corrected after now contradistinction system is matched with decision tree system logic again System;If it is confirmed that rear boiler induced-draft fan is blocked 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 induced-draft fan stopping state.
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 air inducing The situation that machine is blocked so that staff family obtains an accurate air-introduced machine stopping state to ensure boiler normal table Operation, to extend the life-span for using of electronic sensor, reduces the maintenance cost of boiler, realizes that boiler induced-draft fan is blocked automatic Change and judge, 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 induced-draft fan based on decision tree system blocks method for early warning, it is characterised in that comprise the following steps:
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler induced-draft fan blocking critical value B, root According to the mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, is 0-1 by the numerical quantization in error rate table t Between decimal after set up air-introduced machine and block error rate table T;
Step (2):Air-introduced machine in step (1) blocks error rate table T as decision tree system skeleton, sets up decision tree system System, while the historical data for obtaining staff's artificial judgment boiler induced-draft fan blocking low value high sets up contradistinction system, by decision-making Tree system carries out logic and matches with contradistinction system;
Step (3):Real-time boiler induced-draft fan data are obtained by electronic sensor, and is transmitted to decision tree system, decision tree system Air-introduced machine is obtained after system repetition training block low value probability P high;
Step (4):Decision tree system judges that air-introduced machine blocks the size of low value probability P high, if P is more than 0.8, illustrates boiler Air-introduced machine is blocked, and result is transferred to console by decision tree system, and console provides alarm;If P is less than 0.8, say Bright boiler induced-draft fan is normal, and console will not provide alarm;
Step (5):After boiler staff obtains the alarm that console sends, the actual air-introduced machine stopping state of boiler is entered Row confirms, if it is confirmed that rear boiler induced-draft fan is unplugged then to illustrate decision tree system misjudgment, now boiler staff will Correct result inputs to contradistinction system, and decision tree system is corrected after now contradistinction system is matched with decision tree system logic again System;If it is confirmed that rear boiler induced-draft fan is blocked 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 induced-draft fan stopping state is no longer needed.
2. a kind of boiler induced-draft fan based on decision tree system according to claim 1 blocks method for early warning, and its feature exists In 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.
CN201611238754.6A 2016-12-28 2016-12-28 A kind of boiler induced-draft fan based on decision tree system blocks method for early warning Pending CN106845084A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010001149A1 (en) * 1998-02-20 2001-05-10 Alouani Ali T. Artificial neural network and fuzzy logic based boiler tube leak detection systems
US20090125155A1 (en) * 2007-11-08 2009-05-14 Thomas Hill Method and System for Optimizing Industrial Furnaces (Boilers) through the Application of Recursive Partitioning (Decision Tree) and Similar Algorithms Applied to Historical Operational and Performance Data
CN103616913A (en) * 2013-08-05 2014-03-05 浙江大学 Circulating fluidized bed boiler induced-draft fan current prediction system and method
CN104156537A (en) * 2014-08-19 2014-11-19 中山大学 Cellular automaton urban growth simulating method based on random forest
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

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010001149A1 (en) * 1998-02-20 2001-05-10 Alouani Ali T. Artificial neural network and fuzzy logic based boiler tube leak detection systems
US20090125155A1 (en) * 2007-11-08 2009-05-14 Thomas Hill Method and System for Optimizing Industrial Furnaces (Boilers) through the Application of Recursive Partitioning (Decision Tree) and Similar Algorithms Applied to Historical Operational and Performance Data
CN103616913A (en) * 2013-08-05 2014-03-05 浙江大学 Circulating fluidized bed boiler induced-draft fan current prediction system and method
CN104156537A (en) * 2014-08-19 2014-11-19 中山大学 Cellular automaton urban growth simulating method based on random forest
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

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