CN106683351A - Boiler flue gas desulfurization equipment fault warning method based on decision tree system - Google Patents

Boiler flue gas desulfurization equipment fault warning method based on decision tree system Download PDF

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Publication number
CN106683351A
CN106683351A CN201611238265.0A CN201611238265A CN106683351A CN 106683351 A CN106683351 A CN 106683351A CN 201611238265 A CN201611238265 A CN 201611238265A CN 106683351 A CN106683351 A CN 106683351A
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flue gas
gas desulfurization
decision tree
boiler
tree system
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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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    • 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
    • G08B21/185—Electrical failure alarms
    • 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"
    • 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
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18—Prevention or correction of operating errors
    • G08B29/20—Calibration, including self-calibrating arrangements
    • G08B29/24—Self-calibration, e.g. compensating for environmental drift or ageing of components

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  • Game Theory and Decision Science (AREA)
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  • Computer Security & Cryptography (AREA)
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Abstract

The invention discloses a boiler flue gas desulfurization equipment fault warning method based on decision tree system; the boiler flue gas desulfurization equipment fault warning method comprises the steps of (1) acquiring boiler room environment and boiler operation parameter data A, acquiring boiler flue gas desulfurization equipment fault critical value B, and establishing flue gas desulfurization equipment fault error rate table T; (2) establishing a decision tree system and a reference system, and subjecting the decision tree system and the reference system to logic matching; (3) acquiring by an electronic sensor, real-time boiler flue gas desulfurization equipment data, and transmitting to the decision tree system to obtain flue gas desulfurization equipment fault high and low value probability P; (4) if P is greater than 0.8, giving a warning reminder by a console; (5) confirming by a boiler worker after receiving the warning reminder transmitted by the console, determining that the decision tree system makes a wrong judgment if the boiler flue gas desulfurization equipment is faulted after the confirming, and correcting the decision tree system. The boiler flue gas desulfurization equipment fault warning method provides automatic judgment on boiler flue gas desulfurization equipment faults.

Description

A kind of boiler flue gas desulfurization equipment fault early-warning method based on decision tree system
Technical field
The invention belongs to early warning technology field, more particularly to a kind of boiler flue gas desulfurization equipment based on decision tree system Fault early warning method.
Background technology
Current domestic each flue gas desulfurization device fault early warning system is provided with electronic sensor prompt system.Traditional electricity Sub- Fundamentals of Sensors are, by the high low value of flue gas desulfurization device failure, to be perceived the numerical value of each section by electronic sensor Timely feed back to central control system.The height of boiler flue gas desulfurization equipment fault is learnt in work by the picture and text prompting of central control system Value.But the corrosivity of the high temperature due to generator tube, stove water, a certain degree of impact are caused on electronic sensor so that in cigarette Wrong estimate is caused in desulfurization equipment fault value of feedback, or falsity occurs, to cause boiler staff to produce mistake Judgement causes major accident occur.And the high electronic sensor of sensitivity is expensive, replacing is difficult, and is replaced as frequently as making Family's very headache must be produced.So current domestic flue gas desulfurization device fault early warning system cannot accurately react the cigarette of boiler The high low value of desulfurization equipment fault.Before this most electronic sensor uses electrochemical principle to the free metal ion in water Electrification is produced, the high low value of flue gas desulfurization device failure is pointed out by the transmission of the signal of telecommunication.But it is underwater gold that furnace temperature is too high Category ion motion is active to cause certain interference 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 smoke based on decision tree system Desulfurization equipment fault early-warning method, can immediate correction electronic sensor under circumstances error in data, remind kettleman Make the situation of personnel's flue gas desulfurization device failure so that staff obtains an accurate flue gas desulfurization device failure condition, To guarantee the operation of boiler normal table, to extend the life-span for using of electronic sensor, the maintenance cost of boiler is reduced, realized The automatization judgement of boiler flue gas desulfurization equipment fault, accuracy of judgement no longer needs artificial judgment, and the work for mitigating staff is strong Degree.
To achieve these goals, the invention provides a kind of boiler flue gas desulfurization equipment fault based on decision tree system Method for early warning, comprises the steps：
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler flue gas desulfurization equipment fault Marginal value B, the mutual pace of learning in data A and marginal value BCorrespondence goes out error rate table t, by the number in error rate table t Value is quantified as setting up flue gas desulfurization device failure error rate table T after the decimal between 0-1；
Step (2)：Flue gas desulfurization device failure error rate table T in step (1) is built as decision tree system skeleton Vertical decision tree system, while the historical data for obtaining the high low value of staff's artificial judgment boiler flue gas desulfurization equipment fault is set up Contradistinction system, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler flue gas desulfurization device data is obtained by electronic sensor, and is transmitted to decision tree system System, obtains the high low value probability P of flue gas desulfurization device failure after decision tree system repetition training；
Step (4)：Decision tree system judges the size of the high low value probability P of flue gas desulfurization device failure, if P is more than 0.8, Then illustrate that boiler flue gas desulfurization equipment breaks down, result is transferred to console by decision tree system, and console provides warning and carries Show；If P is less than 0.8, illustrate that boiler flue gas desulfurization equipment is normal, console will not provide alarm；
Step (5)：Boiler staff is obtained after the alarm that console sends, to the actual flue gas desulfurization device of boiler Situation confirmed, if it is confirmed that rear boiler flue gas desulfurization equipment normally then illustrates decision tree system misjudgment, now boiler Correct result is inputed to contradistinction system by staff, is corrected after now contradistinction system is matched with decision tree system logic again Decision tree system；The decision tree system correct judgment that then illustrate if it is confirmed that rear boiler flue gas desulfurization equipment breaks down；
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 flue gas desulfurization equipment fault situation.
Further, the formula of decision tree system meets in step (2)：
Wherein：XSFor feedback score, XBHFor convolution constant, KXFor the converse feedback number of plies, SOFor vector convolution constant, KOHIt is fixed Adopted vector constant collection, fpFor subset probability, bHFor counts, KhFor error in judgement counting.
Beneficial effects of the present invention：The present invention can immediate correction electronic sensor under circumstances error in data, carry The situation of awake boiler staff flue gas desulfurization device failure so that staff family obtains an accurate flue gas desulfurization device Failure condition to extend the life-span for using of electronic sensor, reduces the maintenance of boiler guaranteeing the operation of boiler normal table Cost, realizes the automatization judgement of boiler flue gas desulfurization equipment fault, and accuracy of judgement no longer needs artificial judgment, mitigates work people The labor intensity of member.
Description of the drawings
In order to be illustrated more clearly that 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 flue gas desulfurization equipment fault early-warning side based on decision tree system that the present invention is provided Method, comprises the steps：
Step (1), acquisition boiler room environment and boiler operating parameter data A, then obtain boiler flue gas desulfurization equipment fault Marginal value B, the mutual pace of learning in data A and marginal value BCorrespondence goes out error rate table t, by the number in error rate table t Value is quantified as setting up flue gas desulfurization device failure error rate table T after the decimal between 0-1；
Boiler room environmental data includes：Boiler room size, there is a several boilers that can be used, and 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 gas desulfurization device etc..
Step (2)：Flue gas desulfurization device failure error rate table T in step (1) is built as decision tree system skeleton Vertical decision tree system, while the historical data for obtaining the high low value of staff's artificial judgment boiler flue gas desulfurization equipment fault is set up Contradistinction system, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler flue gas desulfurization device data is obtained by electronic sensor, and is transmitted to decision tree system System, obtains the high low value probability P of flue gas desulfurization device failure after decision tree system repetition training；
Step (4)：Decision tree system judges the size of the high low value probability P of flue gas desulfurization device failure, if P is more than 0.8, Then illustrate that boiler flue gas desulfurization equipment breaks down, result is transferred to console by decision tree system, and console provides warning and carries Show；If P is less than 0.8, illustrate that boiler flue gas desulfurization equipment is normal, console will not provide alarm；
Step (5)：Boiler staff is obtained after the alarm that console sends, to the actual flue gas desulfurization device of boiler Situation confirmed, if it is confirmed that rear boiler flue gas desulfurization equipment normally then illustrates decision tree system misjudgment, now boiler Correct result is inputed to contradistinction system by staff, is corrected after now contradistinction system is matched with decision tree system logic again Decision tree system；The decision tree system correct judgment that then illustrate if it is confirmed that rear boiler flue gas desulfurization equipment breaks down；
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 flue gas desulfurization equipment fault situation.
The formula of decision tree system meets in step (2)：
Wherein：XSFor feedback score, XBHFor convolution constant, KXFor the converse feedback number of plies, SOFor vector convolution constant, KOHIt is fixed Adopted vector constant collection, fpFor subset probability, bHFor counts, KhFor error in judgement counting.
The present invention can immediate correction electronic sensor under circumstances error in data, remind boiler staff's flue gas The situation of desulphurization plant failure so that staff family obtains an accurate flue gas desulfurization device failure condition to guarantee pot The operation of stove normal table, to extend the life-span for using of electronic sensor, reduces the maintenance cost of boiler, realizes boiler smoke The automatization judgement of desulphurization plant failure, accuracy of judgement no longer needs artificial judgment, mitigates the labor intensity of staff.
Ultimate principle, principal character and the advantages of the present invention 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 restricted to the described embodiments, the simply explanation described in above-described embodiment and description this The principle of invention, of the invention without departing from the spirit and scope of the present invention also to have various changes and modifications, these changes Change and improvement is both fallen within 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 flue gas desulfurization equipment fault early-warning method based on decision tree system, it is characterised in that including following step Suddenly：
Step (1), boiler room environment and boiler operating parameter data A are obtained, then to obtain boiler flue gas desulfurization equipment fault critical Value B, the mutual pace of learning in data A and marginal value BCorrespondence goes out error rate table t, by the numerical quantities in error rate table t Turn to and flue gas desulfurization device failure error rate table T is set up after the decimal between 0-1；
Step (2)：Flue gas desulfurization device 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 the high low value of staff's artificial judgment boiler flue gas desulfurization equipment fault sets up control System, carries out decision tree system and contradistinction system logic and matches；
Step (3)：Real-time boiler flue gas desulfurization device data is obtained by electronic sensor, and is transmitted to decision tree system, certainly The high low value probability P of flue gas desulfurization device failure is obtained after the training of plan tree system repeatedly；
Step (4)：Decision tree system judges the size of the high low value probability P of flue gas desulfurization device failure, if P is more than 0.8, says Bright boiler flue gas desulfurization equipment breaks down, and 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 flue gas desulfurization equipment is normal, and console will not provide alarm；
Step (5)：Boiler staff is obtained after the alarm that console sends, to the actual flue gas desulfurization device situation of boiler Confirmed, if it is confirmed that rear boiler flue gas desulfurization equipment normally then illustrates decision tree system misjudgment, now boiler work Correct result is inputed to contradistinction system by personnel, and after now contradistinction system is matched with decision tree system logic again decision-making is corrected Tree system；The decision tree system correct judgment that then illustrate if it is confirmed that rear boiler flue gas desulfurization equipment breaks down；
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 flue gas desulfurization equipment fault situation is no longer needed.
2. a kind of boiler flue gas desulfurization equipment fault early-warning method based on decision tree system according to claim 1, its It is characterised by, 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：XSFor feedback score, XBHFor convolution constant, KXFor the converse feedback number of plies, SOFor vector convolution constant, KOHFor definition to Amount constant collection, fpFor subset probability, bHFor counts, KhFor error in judgement counting.
CN201611238265.0A 2016-12-28 2016-12-28 Boiler flue gas desulfurization equipment fault warning method based on decision tree system Pending CN106683351A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117420867A (en) * 2023-12-08 2024-01-19 北京佰能蓝天科技股份有限公司 Intelligent optimization control method and system for flue gas desulfurization process based on artificial intelligence

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS57706A (en) * 1980-05-30 1982-01-05 Hitachi Ltd Deciding system for cause of plant fault
WO2015101856A2 (en) * 2013-12-30 2015-07-09 Abb Technology Ltd. A method and system for fault detection during a plunger lift operation in hydrocarbon wells
CN105955233A (en) * 2016-04-28 2016-09-21 郑州宇通客车股份有限公司 Vehicle fault diagnosis method and system based on data excavation
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 (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS57706A (en) * 1980-05-30 1982-01-05 Hitachi Ltd Deciding system for cause of plant fault
WO2015101856A2 (en) * 2013-12-30 2015-07-09 Abb Technology Ltd. A method and system for fault detection during a plunger lift operation in hydrocarbon wells
CN105955233A (en) * 2016-04-28 2016-09-21 郑州宇通客车股份有限公司 Vehicle fault diagnosis method and system based on data excavation
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

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117420867A (en) * 2023-12-08 2024-01-19 北京佰能蓝天科技股份有限公司 Intelligent optimization control method and system for flue gas desulfurization process based on artificial intelligence
CN117420867B (en) * 2023-12-08 2024-03-08 北京佰能蓝天科技股份有限公司 Intelligent optimization control method and system for flue gas desulfurization process based on artificial intelligence

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Application publication date: 20170517