CN106710162A - Boiler furnace scaling early warning method based on decision tree system - Google Patents
Boiler furnace scaling early warning method based on decision tree system Download PDFInfo
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- CN106710162A CN106710162A CN201611238788.5A CN201611238788A CN106710162A CN 106710162 A CN106710162 A CN 106710162A CN 201611238788 A CN201611238788 A CN 201611238788A CN 106710162 A CN106710162 A CN 106710162A
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- decision tree
- tree system
- boiler
- fouling
- boiler furnace
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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
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- General Physics & Mathematics (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a boiler furnace scaling early warning method based on a decision tree system. The method comprises the following steps that step (1): boiler room environment and boiler operation parameter data A are acquired, then a boiler furnace scaling critical value B is acquired, and a furnace scaling error rate table T is established; step (2): the decision tree system is established, a contrast system is established, and logic matching is performed on the decision tree system and the contrast system; step (3): an electronic sensor acquires real-time boiler furnace data to be transmitted to the decision tree system so as to obtain the furnace scaling height value probability P; step (4): if P is greater than 0.8, boiler furnace scaling is higher than the furnace scaling critical value, and a center console gives alarm prompting; and step (5): boiler work personnel obtain the alarm prompt given by the center console and then make confirmation, judgment of the decision tree system is wrong if boiler furnace scaling occurs after confirmation and the decision tree system is corrected. Automatic judgment of boiler furnace scaling can be realized and judgment is accurate.
Description
Technical field
The invention belongs to early warning technology field, more particularly to a kind of boiler furnace flue fouling based on decision tree system h systems is pre-
Alarm method.
Background technology
Current domestic each flue fouling early warning system is provided with electronic sensor prompt system.Traditional electronic sensor
Principle is, by the low value high of flue fouling, to be perceived by electronic sensor and for the numerical value of each section timely to feed back to middle control
System.Work points out to learn the low value high of boiler furnace flue fouling by the picture and text of central control system.But high temperature due to generator tube,
The corrosivity of stove water, a certain degree of influence is caused on electronic sensor so that cause mistake to estimate in flue fouling value of feedback
Value, or there is falsity, cause major accident occur with the judgement for causing boiler staff generation mistake.And sensitivity is high
Electronic sensor it is expensive, replacing is difficult, and is replaced as frequently as so that producing family's very headache.So current domestic stove
Courage fouling early warning system cannot accurately react the flue fouling low value high of boiler.Most electronic sensor uses electricity before this
The principles of chemistry produce electrification to the free metal ion in water, and the low value high of flue fouling is pointed out by the transmission of electric signal.
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 Furnace based on decision tree system
Courage fouling method for early warning, can immediate correction electronic sensor under circumstances data error, remind boiler staff's stove
The situation of courage fouling so that staff obtains an accurate flue fouling condition 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, realizes the automatization judgement of boiler furnace flue fouling,
Accuracy of judgement, no longer needs artificial judgment, mitigates the labour intensity of staff.
To achieve these goals, the invention provides a kind of pre- police of boiler furnace flue fouling based on decision tree system
Method, comprises the following steps:
Step (1), acquisition boiler room environment and boiler operating parameter data A, then boiler furnace flue fouling critical value B is obtained,
Mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, is by the numerical quantization in error rate table t
Flue fouling error rate table T is set up after decimal between 0-1;
Step (2):Flue fouling error rate table T in step (1) sets up decision tree as decision tree system skeleton
System, while the historical data for obtaining staff's artificial judgment boiler furnace flue fouling 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 furnace flue data are obtained by electronic sensor, and is transmitted to decision tree system, decision tree
Flue fouling low value probability P high is obtained after system repeatedly training;
Step (4):Decision tree system judges the size of flue fouling low value probability P high, if P is more than 0.8, illustrates pot
The fouling of stove flue is higher than flue fouling critical value, and result is transferred to console by decision tree system, and console provides alarm;
If P is less than 0.8, boiler furnace flue fouling is illustrated less than flue fouling critical value, console will not provide alarm;
Step (5):After boiler staff obtains the alarm that console sends, to the actual flue fouling condition of boiler
Confirmed, if it is confirmed that rear boiler furnace flue fouling then illustrates decision tree system misjudgment less than flue fouling critical value, this
When boiler staff correct result is inputed into contradistinction system, now contradistinction system is matched with decision tree system logic again
After correct decision tree system;If it is confirmed that rear boiler furnace flue fouling then illustrates that decision tree system judges higher than flue fouling critical value
Correctly;
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 furnace flue fouling condition.
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 awake boiler staff's flue fouling so that staff family obtains an accurate flue fouling condition 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 Boiler Furnace
The automatization judgement of courage fouling, 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 furnace flue fouling method for early warning based on decision tree system that the present invention is provided, including such as
Lower step:
Step (1), acquisition boiler room environment and boiler operating parameter data A, then boiler furnace flue fouling critical value B is obtained,
Mutual pace of learning in data A and critical value BCorrespondence goes out error rate table t, is by the numerical quantization in error rate table t
Flue fouling error rate table T is set up after 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, flue etc..
Step (2):Flue fouling error rate table T in step (1) sets up decision tree as decision tree system skeleton
System, while the historical data for obtaining staff's artificial judgment boiler furnace flue fouling 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 furnace flue data are obtained by electronic sensor, and is transmitted to decision tree system, decision tree
Flue fouling low value probability P high is obtained after system repeatedly training;
Step (4):Decision tree system judges the size of flue fouling low value probability P high, if P is more than 0.8, illustrates pot
The fouling of stove flue is higher than flue fouling critical value, and result is transferred to console by decision tree system, and console provides alarm;
If P is less than 0.8, boiler furnace flue fouling is illustrated less than flue fouling critical value, console will not provide alarm;
Step (5):After boiler staff obtains the alarm that console sends, to the actual flue fouling condition of boiler
Confirmed, if it is confirmed that rear boiler furnace flue fouling then illustrates decision tree system misjudgment less than flue fouling critical value, this
When boiler staff correct result is inputed into contradistinction system, now contradistinction system is matched with decision tree system logic again
After correct decision tree system;If it is confirmed that rear boiler furnace flue fouling then illustrates that decision tree system judges higher than flue fouling critical value
Correctly;
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 furnace flue fouling condition.
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 flue
The situation of fouling so that staff family obtains an accurate flue fouling condition 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, realizes the automatization judgement of boiler furnace flue fouling,
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 furnace flue fouling method for early warning 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 boiler furnace flue fouling critical value B is obtained, according to
Mutual pace of learning in data A and critical value BCorrespondence go out error rate table t, by the numerical quantization in error rate table t be 0-1 it
Between decimal after set up flue fouling error rate table T;
Step (2):Flue fouling error rate table T in step (1) sets up decision tree system as decision tree system skeleton
System, while the historical data for obtaining staff's artificial judgment boiler furnace flue fouling low value high sets up contradistinction system, by decision tree
System carries out logic and matches with contradistinction system;
Step (3):Real-time boiler furnace flue data are obtained by electronic sensor, and is transmitted to decision tree system, decision tree system
Flue fouling low value probability P high is obtained after repetition training;
Step (4):Decision tree system judges the size of flue fouling low value probability P high, if P is more than 0.8, illustrates Boiler Furnace
Courage fouling is higher than flue fouling critical value, and result is transferred to console by decision tree system, and console provides alarm;If
P is less than 0.8, then illustrate that boiler furnace flue fouling is less than flue fouling critical value, and console will not provide alarm;
Step (5):After boiler staff obtains the alarm that console sends, the actual flue fouling condition of boiler is carried out
Confirm, if it is confirmed that rear boiler furnace flue fouling then illustrates decision tree system misjudgment less than flue fouling critical value, now pot
Correct result is inputed to contradistinction system by stove staff, is repaiied after now contradistinction system is matched with decision tree system logic again
Positive decision tree system;If it is confirmed that rear boiler furnace flue fouling then illustrates that decision tree system judges just higher than flue fouling critical value
Really;
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 furnace flue fouling condition is no longer needed.
2. a kind of boiler furnace flue fouling method for early warning based on decision tree system according to claim 1, it is characterised in that
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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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 prediction method combining BP neural network and two-parameter Weibull distribution |
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2016
- 2016-12-28 CN CN201611238788.5A patent/CN106710162A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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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 prediction method combining BP neural network and two-parameter Weibull distribution |
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