CN106778009A - A kind of boiler furnace incrustation scale method for early warning based on decision tree system - Google Patents

Abstract

The invention discloses a kind of boiler furnace incrustation scale 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 furnace incrustation scale critical value B is obtained, set up burner hearth incrustation scale 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 furnace data transfer to decision tree system, obtains burner hearth incrustation scale low value probability P high；Step (4)：If P is more than 0.8, boiler furnace incrustation scale is higher than burner hearth incrustation scale critical value, and console provides alarm；Step (5)：Boiler staff is confirmed after obtaining the alarm that console sends, if it is confirmed that rear boiler furnace incrustation scale then illustrates decision tree system misjudgment, amendment decision tree system.The present invention realizes the automatization judgement of boiler furnace incrustation scale, accuracy of judgement.

Description

A kind of boiler furnace incrustation scale method for early warning based on decision tree system

Technical field

The invention belongs to early warning technology field, more particularly to a kind of boiler furnace incrustation scale early warning based on decision tree system Method.

Background technology

Current domestic each burner hearth incrustation scale early warning system is provided with electronic sensor prompt system.Traditional electronic sensor Principle is, by the low value high of burner hearth incrustation scale, 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 incrustation scale 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 burner hearth incrustation scale 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 Thorax incrustation scale early warning system cannot accurately react the burner hearth incrustation scale 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 burner hearth incrustation scale 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 Thorax incrustation scale method for early warning, can immediate correction electronic sensor under circumstances data error, remind boiler staff's stove The situation of thorax incrustation scale so that staff obtains an accurate burner hearth incrustation scale situation 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 incrustation scale, 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 incrustation scale 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 incrustation scale 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 Burner hearth incrustation scale error rate table T is set up after decimal between 0-1；

Step (2)：Burner hearth incrustation scale 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 incrustation scale 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 data are obtained by electronic sensor, and is transmitted to decision tree system, decision tree Burner hearth incrustation scale low value probability P high is obtained after system repeatedly training；

Step (4)：Decision tree system judges the size of burner hearth incrustation scale low value probability P high, if P is more than 0.8, illustrates pot Stove burner hearth incrustation scale is higher than burner hearth incrustation scale 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 incrustation scale is illustrated less than burner hearth incrustation scale critical value, console will not provide alarm；

Step (5)：After boiler staff obtains the alarm that console sends, to boiler actual furnace incrustation scale situation Confirmed, if it is confirmed that rear boiler furnace incrustation scale then illustrates decision tree system misjudgment less than burner hearth incrustation scale 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 incrustation scale then illustrates that decision tree system judges higher than burner hearth incrustation scale 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 incrustation scale situation.

Further, the formula of decision tree system meets in step (2)：

Wherein：X_SIt is feedback score, X_BHIt is convolution constant, K_XIt is the converse feedback number of plies, S_OIt is vector convolution constant, K_OHIt is fixed Adopted vector constant collection, f_pIt is subset probability, b_HIt is counts, K_hFor 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 burner hearth incrustation scale so that staff family obtains an accurate burner hearth incrustation scale 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 Boiler Furnace The automatization judgement of thorax incrustation scale, 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 incrustation scale 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 incrustation scale 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 Burner hearth incrustation scale 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, burner hearth etc..

Step (2)：Burner hearth incrustation scale 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 incrustation scale 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 data are obtained by electronic sensor, and is transmitted to decision tree system, decision tree Burner hearth incrustation scale low value probability P high is obtained after system repeatedly training；

Step (4)：Decision tree system judges the size of burner hearth incrustation scale low value probability P high, if P is more than 0.8, illustrates pot Stove burner hearth incrustation scale is higher than burner hearth incrustation scale 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 incrustation scale is illustrated less than burner hearth incrustation scale critical value, console will not provide alarm；

Step (5)：After boiler staff obtains the alarm that console sends, to boiler actual furnace incrustation scale situation Confirmed, if it is confirmed that rear boiler furnace incrustation scale then illustrates decision tree system misjudgment less than burner hearth incrustation scale 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 incrustation scale then illustrates that decision tree system judges higher than burner hearth incrustation scale 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 incrustation scale situation.

The formula of decision tree system meets in step (2)：

Wherein：X_SIt is feedback score, X_BHIt is convolution constant, K_XIt is the converse feedback number of plies, S_OIt is vector convolution constant, K_OHIt is fixed Adopted vector constant collection, f_pIt is subset probability, b_HIt is counts, K_hFor error in judgement is counted.

The present invention can immediate correction electronic sensor under circumstances data error, remind boiler staff's burner hearth The situation of incrustation scale so that staff family obtains an accurate burner hearth incrustation scale situation 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 incrustation scale, 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 incrustation scale 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 incrustation scale 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 burner hearth incrustation scale error rate table T；

Step (2)：Burner hearth incrustation scale 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 incrustation scale 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 data are obtained by electronic sensor, and is transmitted to decision tree system, decision tree system Burner hearth incrustation scale low value probability P high is obtained after repetition training；

Step (4)：Decision tree system judges the size of burner hearth incrustation scale low value probability P high, if P is more than 0.8, illustrates Boiler Furnace Thorax incrustation scale is higher than burner hearth incrustation scale 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 incrustation scale is less than burner hearth incrustation scale critical value, and console will not provide alarm；

Step (5)：After boiler staff obtains the alarm that console sends, boiler actual furnace incrustation scale situation is carried out Confirm, if it is confirmed that rear boiler furnace incrustation scale then illustrates decision tree system misjudgment less than burner hearth incrustation scale 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 incrustation scale then illustrates that decision tree system judges just higher than burner hearth incrustation scale 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 incrustation scale situation is no longer needed.

2. a kind of boiler furnace incrustation scale 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)：

$\frac{{\mathrm{dX}}_S}{dt}=(1-f_p)b_H{X}_{BH}-k_h\left(\frac{\frac{X_S}{X_{BH}}}{K_X+\frac{X_S}{X_{BH}}}\right)\left(\frac{S_O}{K_{OH}+S_O}\right)X_{BH};$

Wherein：X_SIt is feedback score, X_BHIt is convolution constant, K_XIt is the converse feedback number of plies, S_OIt is vector convolution constant, K_OHFor define to Amount constant collection, f_pIt is subset probability, b_HIt is counts, K_hFor error in judgement is counted.