CN106779450A - A kind of boiler water softener efficiency lost resin method for early warning based on decision tree system - Google Patents
A kind of boiler water softener efficiency lost resin method for early warning based on decision tree system Download PDFInfo
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- CN106779450A CN106779450A CN201611238326.3A CN201611238326A CN106779450A CN 106779450 A CN106779450 A CN 106779450A CN 201611238326 A CN201611238326 A CN 201611238326A CN 106779450 A CN106779450 A CN 106779450A
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Abstract
The invention discloses a kind of boiler water softener efficiency lost resin method for early warning based on decision tree system, comprise the following steps：Step (1), acquisition boiler room environment and boiler operating parameter data A, then boiler water softener efficiency lost resin critical value B is obtained, set up water softener efficiency lost resin 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 water softener resin data transfer to decision tree system, obtains water softener efficiency lost resin 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 water softener resin then illustrates decision tree system misjudgment, amendment decision tree system.The present invention realizes the automatization judgement of boiler water softener efficiency lost resin.
Description
Technical field
The invention belongs to early warning technology field, more particularly to a kind of boiler water softener resin based on decision tree system loses
Effect method for early warning.
Background technology
Current domestic each water softener efficiency lost resin early warning system is provided with electronic sensor prompt system.Traditional electronics
Fundamentals of Sensors are, by the low value high of water softener efficiency lost resin, 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 of boiler water softener efficiency lost resin 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 water softener tree
Wrong estimate is caused in fat failure 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 water softener resin that current domestic water softener efficiency lost resin early warning 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 transmission of electric signal is crossed to point out the low value high of water softener efficiency lost resin.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 based on decision tree system is soft
Hydrophone efficiency lost resin method for early warning, can immediate correction electronic sensor under circumstances data error, remind boiler work
The situation of personnel's water softener efficiency lost resin so that staff obtains an accurate water softener efficiency lost resin situation 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 soft
The automatization judgement of hydrophone efficiency lost resin, 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 water softener efficiency lost resin based on decision tree system
Alarm method, comprises the following steps：
Step (1), boiler room environment and boiler operating parameter data A are obtained, then obtain boiler water softener efficiency lost resin and 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
Water softener efficiency lost resin error rate table T is set up after being quantified as the decimal between 0-1；
Step (2)：Water softener efficiency lost resin 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 water softener efficiency lost resin low value high sets up control
System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler water softener resin data are obtained by electronic sensor, and are transmitted to decision tree system,
Water softener efficiency lost resin low value probability P high is obtained after decision tree system repetition training；
Step (4)：Decision tree system judges the size of water softener efficiency lost resin low value probability P high, if P is more than 0.8,
Illustrate that failure occurs in boiler water softener resin, 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 water softener resin is normal, and console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual water softener resin feelings of boiler
Condition is confirmed, if it is confirmed that rear boiler water softener resin 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 water softener resin；
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 water softener efficiency lost resin 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 awake boiler staff's water softener efficiency lost resin so that staff family obtains an accurate water softener efficiency lost resin
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 the automatization judgement of boiler water softener efficiency lost resin, 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 water softener efficiency lost resin method for early warning based on decision tree system that the present invention is provided,
Comprise the following steps：
Step (1), boiler room environment and boiler operating parameter data A are obtained, then obtain boiler water softener efficiency lost resin and 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
Water softener efficiency lost resin 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, water softener etc..
Step (2)：Water softener efficiency lost resin 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 water softener efficiency lost resin low value high sets up control
System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler water softener resin data are obtained by electronic sensor, and are transmitted to decision tree system,
Water softener efficiency lost resin low value probability P high is obtained after decision tree system repetition training；
Step (4)：Decision tree system judges the size of water softener efficiency lost resin low value probability P high, if P is more than 0.8,
Illustrate that failure occurs in boiler water softener resin, 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 water softener resin is normal, and console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual water softener resin feelings of boiler
Condition is confirmed, if it is confirmed that rear boiler water softener resin 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 water softener resin；
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 water softener efficiency lost resin 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 soft water
The situation of device efficiency lost resin so that staff family obtains an accurate water softener efficiency lost resin situation 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 boiler water softener tree
The automatization judgement of fat 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 water softener efficiency lost resin 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 obtain boiler water softener efficiency lost resin 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 water softener efficiency lost resin error rate table T after the decimal between 0-1；
Step (2)：Water softener efficiency lost resin error rate table T in step (1) sets up decision-making as decision tree system skeleton
Tree system, while the historical data for obtaining staff's artificial judgment boiler water softener efficiency lost resin low value high sets up control series
System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler water softener resin data are obtained by electronic sensor, and is transmitted to decision tree system, decision-making
Water softener efficiency lost resin low value probability P high is obtained after tree system repeatedly training；
Step (4)：Decision tree system judges the size of water softener efficiency lost resin low value probability P high, if P is more than 0.8, illustrates
There is failure in boiler water softener resin, and result is transferred to console by decision tree system, and console provides alarm；If P
Less than 0.8, then illustrate that boiler water softener resin is normal, console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, the actual water softener resin situation of boiler is entered
Row confirms, if it is confirmed that rear boiler water softener resin 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 water softener resin；
Step (6)：Repeat step (3)-(5), so constantly circulation constantly corrects decision tree system until decision tree system judges
Accurately, staff's artificial judgment water softener efficiency lost resin situation is no longer needed.
2. a kind of boiler water softener efficiency lost resin method for early warning 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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| CN201611238326.3A CN106779450A (en) | 2016-12-28 | 2016-12-28 | A kind of boiler water softener efficiency lost resin method for early warning based on decision tree system |
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| CN201611238326.3A CN106779450A (en) | 2016-12-28 | 2016-12-28 | A kind of boiler water softener efficiency lost resin method for early warning based on decision tree system |
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Citations (6)
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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 |
| CN101752866A (en) * | 2008-12-10 | 2010-06-23 | 上海申瑞电力科技股份有限公司 | Automatic heavy-load equipment early warning implementation method based on decision tree |
| CN105573329A (en) * | 2015-12-16 | 2016-05-11 | 上海卫星工程研究所 | Attitude and orbit control data analysis method based on decision tree |
| CN105760936A (en) * | 2016-02-24 | 2016-07-13 | 西安西热电站信息技术有限公司 | Boiler 'four tubes' failure evaluation method based on field state inspection parameters |
| 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 |
-
2016
- 2016-12-28 CN CN201611238326.3A patent/CN106779450A/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 |
| CN101752866A (en) * | 2008-12-10 | 2010-06-23 | 上海申瑞电力科技股份有限公司 | Automatic heavy-load equipment early warning implementation method based on decision tree |
| CN105573329A (en) * | 2015-12-16 | 2016-05-11 | 上海卫星工程研究所 | Attitude and orbit control data analysis method based on decision tree |
| CN105760936A (en) * | 2016-02-24 | 2016-07-13 | 西安西热电站信息技术有限公司 | Boiler 'four tubes' failure evaluation method based on field state inspection parameters |
| 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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