CN106802647A - A kind of boiler priming fault early warning method based on decision tree system - Google Patents
A kind of boiler priming fault early warning method based on decision tree system Download PDFInfo
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- CN106802647A CN106802647A CN201611239780.0A CN201611239780A CN106802647A CN 106802647 A CN106802647 A CN 106802647A CN 201611239780 A CN201611239780 A CN 201611239780A CN 106802647 A CN106802647 A CN 106802647A
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- boiler
- decision tree
- priming
- tree system
- failure
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- 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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0245—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
- G05B23/0248—Causal models, e.g. fault tree; digraphs; qualitative physics
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- Automation & Control Theory (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a kind of boiler priming 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 priming fault critical B is obtained, set up priming 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 priming data transfer to decision tree system, obtains priming 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 the priming of rear boiler is broken down then illustrates decision tree system misjudgment, amendment decision tree system.The present invention realizes the automatization judgement of boiler priming failure.
Description
Technical field
The invention belongs to early warning technology field, more particularly to a kind of boiler priming failure based on decision tree system
Method for early warning.
Background technology
Current domestic each priming fault early warning system is provided with electronic sensor prompt system.Traditional electronics is passed
Sensor principle is, by the low value high of priming failure, to be perceived by electronic sensor the numerical value of each section is timely anti-
Feed central control system.Work points out to learn the low value high of boiler priming failure by the picture and text of central control system.But due to pot
The high temperature of stove boiler tube, the corrosivity of stove water, a certain degree of influence is caused on electronic sensor so that anti-in priming failure
Wrong estimate is caused in feedback value, or falsity occurs, cause appearance great with the judgement for causing boiler staff generation mistake
Accident.And sensitivity electronic sensor high is expensive, replacing is difficult, and is replaced as frequently as so that producing family's very head
Pain.So current domestic priming fault early warning system cannot accurately react the priming failure low value high of boiler.
Most electronic sensor produces electrification using electrochemical principle to the free metal ion in water before this, by electric signal
Transmit to point out the low value high of priming failure.But it is that underwater gold belongs to that ion motion is active to cause one to result that furnace temperature is too high
Determine interference.
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 vapour based on decision tree system
Water rises fault early warning method altogether, can immediate correction electronic sensor under circumstances data error, remind boiler work people
The situation of member's priming failure so that staff obtains an accurate priming failure 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 priming
The automatization judgement of failure, accuracy of judgement no longer needs artificial judgment, mitigates the labour intensity of staff.
To achieve these goals, the invention provides a kind of boiler priming fault pre-alarming 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 priming 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
Priming failure error rate table T is set up after turning to the decimal between 0-1；
Step (2)：Priming 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 priming failure low value high sets up control series
System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler priming data are obtained by electronic sensor, and is transmitted to decision tree system, certainly
Priming 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 priming failure low value probability P high, if P is more than 0.8, says
There is priming failure in bright boiler, result is transferred to console by decision tree system, and console provides alarm；If P
Less than 0.8, then illustrate that boiler does not occur priming failure, console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual priming situation of boiler
Confirmed, if it is confirmed that there is no priming failure and then illustrate decision tree system misjudgment in rear boiler, now kettleman
Make personnel and correct result is inputed into contradistinction system, amendment is determined after now contradistinction system is matched with decision tree system logic again
Plan tree system；If it is confirmed that rear boiler occurs priming failure 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 priming 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 priming failure of waking up so that staff family obtains an accurate priming failure feelings
Condition ensures the operation of boiler normal table, to extend the life-span for using of electronic sensor, reduces the maintenance cost of boiler,
The automatization judgement of boiler priming failure is realized, accuracy of judgement no longer needs artificial judgment, and the work for mitigating staff is strong
Degree.
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 priming fault early warning method based on decision tree system that the present invention is provided, bag
Include following steps：
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler priming 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
Priming failure error rate table T is set up after turning to 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 etc..
Step (2)：Priming 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 priming failure low value high sets up control series
System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler priming data are obtained by electronic sensor, and is transmitted to decision tree system, certainly
Priming 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 priming failure low value probability P high, if P is more than 0.8, says
There is priming failure in bright boiler, result is transferred to console by decision tree system, and console provides alarm；If P
Less than 0.8, then illustrate that boiler does not occur priming failure, console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, to the actual priming situation of boiler
Confirmed, if it is confirmed that there is no priming failure and then illustrate decision tree system misjudgment in rear boiler, now kettleman
Make personnel and correct result is inputed into contradistinction system, amendment is determined after now contradistinction system is matched with decision tree system logic again
Plan tree system；If it is confirmed that rear boiler occurs priming failure 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 priming 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 carbonated drink
The situation of failure is risen altogether so that it is normally steady to ensure boiler that staff family obtains an accurate priming failure situation
Fixed operation, to extend the life-span for using of electronic sensor, reduces the maintenance cost of boiler, realizes boiler priming failure
Automatization judgement, 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 priming fault early warning method 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 priming fault critical 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
Priming failure error rate table T is set up after decimal between 0-1；
Step (2)：Priming failure 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 priming failure low value high sets up contradistinction system, will
Decision tree system carries out logic and matches with contradistinction system；
Step (3)：Real-time boiler priming data are obtained by electronic sensor, and is transmitted to decision tree system, decision tree
Priming failure low value probability P high is obtained after system repeatedly training；
Step (4)：Decision tree system judges the size of priming failure low value probability P high, if P is more than 0.8, illustrates pot
There is priming failure in stove, result is transferred to console by decision tree system, and console provides alarm；If P is less than
0.8, then illustrate that boiler does not occur priming failure, console will not provide alarm；
Step (5)：After boiler staff obtains the alarm that console sends, the actual priming situation of boiler is carried out
Confirm, if it is confirmed that there is no priming failure and then illustrate decision tree system misjudgment in rear boiler, 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 occurs priming failure 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 priming failure situation is no longer needed.
2. a kind of boiler priming fault early warning method based on decision tree system according to claim 1, its feature
It is 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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| CN201611239780.0A CN106802647A (en) | 2016-12-28 | 2016-12-28 | A kind of boiler priming fault early warning method based on decision tree system |
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| CN201611239780.0A CN106802647A (en) | 2016-12-28 | 2016-12-28 | A kind of boiler priming fault early warning method based on decision tree system |
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Citations (5)
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| CN104506338A (en) * | 2014-11-21 | 2015-04-08 | 河南中烟工业有限责任公司 | Fault diagnosis expert system based on decision tree for industrial Ethernet network |
| CN104535865A (en) * | 2014-12-30 | 2015-04-22 | 西安工程大学 | Comprehensive diagnosing method for operation troubles of power transformer based on multiple parameters |
| CN104820716A (en) * | 2015-05-21 | 2015-08-05 | 中国人民解放军海军工程大学 | Equipment reliability evaluation method based on data mining |
| 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 |
| WO2016176163A1 (en) * | 2015-04-28 | 2016-11-03 | Siemens Aktiengesellschaft | Simulation based cloud service for industrial energy management |
-
2016
- 2016-12-28 CN CN201611239780.0A patent/CN106802647A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104506338A (en) * | 2014-11-21 | 2015-04-08 | 河南中烟工业有限责任公司 | Fault diagnosis expert system based on decision tree for industrial Ethernet network |
| CN104535865A (en) * | 2014-12-30 | 2015-04-22 | 西安工程大学 | Comprehensive diagnosing method for operation troubles of power transformer based on multiple parameters |
| WO2016176163A1 (en) * | 2015-04-28 | 2016-11-03 | Siemens Aktiengesellschaft | Simulation based cloud service for industrial energy management |
| CN104820716A (en) * | 2015-05-21 | 2015-08-05 | 中国人民解放军海军工程大学 | Equipment reliability evaluation method based on data mining |
| 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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