CN106781307A - A kind of boiler blow-off stop valve early warning method for failure based on decision tree system - Google Patents
A kind of boiler blow-off stop valve early warning method for failure based on decision tree system Download PDFInfo
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- CN106781307A CN106781307A CN201611239784.9A CN201611239784A CN106781307A CN 106781307 A CN106781307 A CN 106781307A CN 201611239784 A CN201611239784 A CN 201611239784A CN 106781307 A CN106781307 A CN 106781307A
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- decision tree
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- 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
- G08B21/18—Status alarms
- G08B21/187—Machine fault alarms
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/002—Generating a prealarm to the central station
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Abstract
The invention discloses a kind of boiler blow-off stop valve early warning method for failure based on decision tree system, comprise the following steps：Step (1), acquisition boiler room environment and boiler operating parameter data A, then boiler blow-off cut-off defective valve critical value B is obtained, set up sewage globe valve 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 blow-off stop valve data transfer to decision tree system, obtains sewage globe valve 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 failure occurs in rear boiler blow-off stop valve then illustrates decision tree system misjudgment, amendment decision tree system.The present invention realizes that boiler blow-off ends the automatization judgement of defective valve.
Description
Technical field
The invention belongs to early warning technology field, more particularly to a kind of boiler blow-off stop valve based on decision tree system loses
Effect method for early warning.
Background technology
Current domestic each sewage globe valve early warning failure system is provided with electronic sensor prompt system.Traditional electronics
Fundamentals of Sensors are, in the low value high that sewage globe valve fails, to be perceived by electronic sensor the numerical value of each section is timely
Feed back to central control system.Work points out to learn the low value high that boiler blow-off ends defective valve by the picture and text of central control system.But
Due to the high temperature of generator tube, the corrosivity of stove water, a certain degree of influence is caused on electronic sensor so that in blowdown cut-off
Wrong estimate is caused in defective valve value of feedback, or falsity occurs, caused with the judgement for causing boiler staff generation mistake
There is major accident.And sensitivity electronic sensor high is expensive, replacing is difficult, and is replaced as frequently as so that producing family ten
The headache divided.So the sewage globe valve that current domestic sewage globe valve early warning failure system cannot accurately react boiler loses
Imitate low value high.Most electronic sensor produces electrification using electrochemical principle to the free metal ion in water before this, leads to
The low value high for crossing the transmission of electric signal to point out sewage globe valve to fail.But it is that underwater gold belongs to ion motion and enlivens that furnace temperature is too high
Certain interference is caused 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 row based on decision tree system
Dirty stop valve early warning method for failure, can immediate correction electronic sensor under circumstances data error, remind boiler work
The situation of personnel's sewage globe valve failure so that staff obtains an accurate sewage globe valve failure conditions to ensure
The operation of boiler normal table, to extend the life-span for using of electronic sensor, reduces the maintenance cost of boiler, realizes that boiler is arranged
The automatization judgement of dirt cut-off defective valve, accuracy of judgement no longer needs artificial judgment, mitigates the labour intensity of staff.
To achieve these goals, it is pre- the invention provides a kind of boiler blow-off cut-off defective valve based on decision tree system
Alarm method, comprises the following steps：
Step (1), obtain boiler room environment and boiler operating parameter data A, then obtain boiler blow-off end defective valve face
Dividing value B, the mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, by the numerical value in error rate table t
Sewage globe valve failure error rate table T is set up after being quantified as the decimal between 0-1；
Step (2)：Sewage globe valve failure error rate table T in step (1) sets up as decision tree system skeleton
Decision tree system, while the historical data for obtaining staff's artificial judgment boiler blow-off cut-off defective valve height value sets up control
System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler blow-off stop valve data are obtained by electronic sensor, and are transmitted to decision tree system,
Sewage globe valve failure low value probability P high is obtained after decision tree system repetition training；
Step (4)：Decision tree system judges the size of sewage globe valve failure low value probability P high, if P is more than 0.8,
Illustrate that failure occurs in boiler blow-off stop valve, 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 blow-off stop valve is normal, and console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual sewage globe valve feelings of boiler
Condition is confirmed, if it is confirmed that rear boiler blow-off stop valve 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 there is failure and then illustrates decision tree system correct judgment in rear boiler blow-off stop valve；
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 sewage globe valve failure conditions.
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 sewage globe valve of waking up fails so that staff family obtains an accurate sewage globe valve failure
Situation ensures the operation of boiler normal table, to extend the life-span for using of electronic sensor, reduce the maintenance of boiler into
This, realizes that boiler blow-off ends the automatization judgement of defective valve, and accuracy of judgement no longer needs artificial judgment, mitigates staff's
Labour intensity.
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 blow-off stop valve early warning method for failure based on decision tree system that the present invention is provided,
Comprise the following steps：
Step (1), obtain boiler room environment and boiler operating parameter data A, then obtain boiler blow-off end defective valve face
Dividing value B, the mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, by the numerical value in error rate table t
Sewage globe valve failure error rate table T is set up 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, 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, sewage globe valve etc..
Step (2)：Sewage globe valve failure error rate table T in step (1) sets up as decision tree system skeleton
Decision tree system, while the historical data for obtaining staff's artificial judgment boiler blow-off cut-off defective valve height value sets up control
System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler blow-off stop valve data are obtained by electronic sensor, and are transmitted to decision tree system,
Sewage globe valve failure low value probability P high is obtained after decision tree system repetition training；
Step (4)：Decision tree system judges the size of sewage globe valve failure low value probability P high, if P is more than 0.8,
Illustrate that failure occurs in boiler blow-off stop valve, 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 blow-off stop valve is normal, and console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual sewage globe valve feelings of boiler
Condition is confirmed, if it is confirmed that rear boiler blow-off stop valve 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 there is failure and then illustrates decision tree system correct judgment in rear boiler blow-off stop valve；
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 sewage globe valve failure conditions.
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 blowdown
End the situation of defective valve so that staff family obtains an accurate sewage globe valve failure conditions to ensure boiler just
The often operation of stabilization, to extend the life-span for using of electronic sensor, reduces the maintenance cost of boiler, realizes that boiler blow-off ends
The automatization judgement of defective valve, 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 blow-off stop valve early warning method for failure based on decision tree system, it is characterised in that comprise the following steps：
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler blow-off cut-off defective valve 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
To set up sewage globe valve failure error rate table T after the decimal between 0-1；
Step (2)：Sewage globe valve in step (1) fails 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 blow-off cut-off defective valve height value sets up control series
System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler blow-off stop valve data are obtained by electronic sensor, and is transmitted to decision tree system, decision-making
Sewage globe valve failure low value probability P high is obtained after tree system repeatedly training；
Step (4)：Decision tree system judges the size of sewage globe valve failure low value probability P high, if P is more than 0.8, illustrates
There is failure in boiler blow-off stop valve, and result is transferred to console by decision tree system, and console provides alarm；If P
Less than 0.8, then illustrate that boiler blow-off stop valve is normal, console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, the actual sewage globe valve situation of boiler is entered
Row confirms, if it is confirmed that rear boiler blow-off stop valve normally then illustrates decision tree system misjudgment, now boiler staff
Correct result is inputed into contradistinction system, decision tree system is corrected after now contradistinction system is matched with decision tree system logic again
System；If it is confirmed that there is failure and then illustrates decision tree system correct judgment in rear boiler blow-off stop valve；
Step (6)：Repeat step (3)-(5), so constantly circulation constantly corrects decision tree system until decision tree system judges
Accurately, staff's artificial judgment sewage globe valve failure conditions are no longer needed.
2. a kind of boiler blow-off stop valve early warning method for failure based on decision tree system according to claim 1, it is special
Levy and be, 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, KOHFor define to
Amount constant collection, fpIt is subset probability, bHIt is counts, KhFor error in judgement is counted.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611239784.9A CN106781307A (en) | 2016-12-28 | 2016-12-28 | A kind of boiler blow-off stop valve early warning method for failure based on decision tree system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611239784.9A CN106781307A (en) | 2016-12-28 | 2016-12-28 | A kind of boiler blow-off stop valve early warning method for failure based on decision tree system |
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| CN106781307A true CN106781307A (en) | 2017-05-31 |
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| CN201611239784.9A Pending CN106781307A (en) | 2016-12-28 | 2016-12-28 | A kind of boiler blow-off stop valve early warning method for failure based on decision tree system |
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Citations (6)
| 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 |
| 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 |
| CN102831269A (en) * | 2012-08-16 | 2012-12-19 | 内蒙古科技大学 | Method for determining technological parameters in flow industrial process |
| CN105787563A (en) * | 2014-12-18 | 2016-07-20 | 中国科学院沈阳自动化研究所 | Self-learning mechanism-base fast matching fuzzy reasoning method |
| 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 |
| CN106125714A (en) * | 2016-06-20 | 2016-11-16 | 南京工业大学 | Failure Rate Forecasting Method in conjunction with BP neutral net Yu two parameters of Weibull |
-
2016
- 2016-12-28 CN CN201611239784.9A patent/CN106781307A/en active Pending
Patent Citations (6)
| 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 |
| 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 |
| CN102831269A (en) * | 2012-08-16 | 2012-12-19 | 内蒙古科技大学 | Method for determining technological parameters in flow industrial process |
| CN105787563A (en) * | 2014-12-18 | 2016-07-20 | 中国科学院沈阳自动化研究所 | Self-learning mechanism-base fast matching fuzzy reasoning method |
| 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 |
| CN106125714A (en) * | 2016-06-20 | 2016-11-16 | 南京工业大学 | Failure Rate Forecasting Method in conjunction with BP neutral net Yu two parameters of Weibull |
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Application publication date: 20170531 |