CN117889446A - Soot blowing frequency adjusting method and system - Google Patents
Soot blowing frequency adjusting method and system Download PDFInfo
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- 239000004071 soot Substances 0.000 title claims abstract description 381
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- 239000000428 dust Substances 0.000 claims abstract description 64
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Abstract
The invention provides a soot blowing frequency adjusting method and a soot blowing frequency adjusting system, which belong to the technical field of frequency adjustment, wherein the soot blowing frequency adjusting method comprises the following steps: acquiring the thickness of deposited ash in the boiler at a plurality of preset positions, and acquiring the operation parameters of the boiler; constructing a three-dimensional model in the furnace by using a preset modeling method, and marking the deposition measurement thickness at each preset position to the three-dimensional model to generate a deposition model; combining the operation parameters and the dust accumulation model, comprehensively analyzing to obtain the dust accumulation predicted thickness at each position in the furnace, and generating a dust accumulation predicted model; the soot deposit prediction model is input into a preset soot blowing analysis module for analysis, soot blowing parameters of the boiler are adjusted based on analysis results, and soot blowing effect evaluation is carried out according to soot deposit thickness differences at the same position in the boiler before and after each soot blowing operation and the running parameter change value of the boiler. The invention can improve the effect of removing the dust deposit in the boiler, ensure the running stability of the boiler and further improve the running efficiency of the boiler.
Description
Technical Field
The invention relates to the technical field of frequency adjustment, in particular to a soot blowing frequency adjustment method and a soot blowing frequency adjustment system.
Background
Contamination is also known as ash pick-up or deposition, meaning that ash particles having a temperature below the ash melting point are deposited on the heated surface. If ash is deposited in the boiler, heat transfer resistance is increased, so that the exhaust temperature of the boiler is increased, and the efficiency of the boiler is reduced; the heated area ash can also cause the reduction of the smoke flow section, the increase of smoke resistance and the increase of the power consumption of the induced draft fan, and the furnace shutdown can be caused when serious, thereby affecting the utilization rate of the unit and causing great economic loss.
At present, the soot blowing strategy of the boiler mainly comprises regular fixed-frequency blowing, and the effect of cleaning the interior of the boiler at regular time can be realized, but the soot thickness in the boiler is uneven, and when regular fixed-frequency soot blowing is carried out, soot in a plurality of positions in the boiler is not cleaned, so that the soot in certain positions in the boiler is continuously increased, the operation stability of the boiler can be possibly influenced, and the operation efficiency of the boiler is further influenced.
Therefore, the invention provides a soot blowing frequency adjusting method and a soot blowing frequency adjusting system.
Disclosure of Invention
The invention provides a soot blowing frequency adjusting method and a soot blowing frequency adjusting system, which are used for improving the effect of removing soot in a boiler, ensuring the operation stability of the boiler and further improving the operation efficiency of the boiler.
The invention provides a soot blowing frequency adjusting method, which comprises the following steps:
Step 1: acquiring the ash deposition measurement thicknesses of the boiler at a plurality of preset positions by a preset measurement method, and simultaneously acquiring the operation parameters of the boiler;
step 2: based on equipment parameter information of a boiler, constructing a three-dimensional model in the boiler by using a preset modeling method, and simultaneously, marking the deposition measurement thickness at each preset position to the same position corresponding to the preset position in the three-dimensional model to generate a deposition model;
step 3: combining the operation parameters and the dust accumulation model, comprehensively analyzing to obtain the dust accumulation predicted thickness at each position in the furnace, and generating a dust accumulation predicted model;
step 4: and inputting the soot deposit prediction model into a preset soot blowing analysis module for analysis, adjusting soot blowing parameters of the boiler based on analysis results, and evaluating soot blowing effect according to soot deposit thickness differences at the same position in the boiler before and after each soot blowing operation and the running parameter change value of the boiler.
Preferably, in step 1, the method includes:
acquiring the temperature in the furnace and the temperature outside the furnace at each preset position by an infrared measurement method, and simultaneously calculating a first temperature difference at each preset position;
acquiring a first deposited ash thickness corresponding to a first temperature difference of each preset position based on a preset temperature difference-thickness comparison table;
Meanwhile, the operation parameters of the boiler during infrared measurement are obtained, and an operation parameter curve is generated according to the operation parameters.
Preferably, in step 1, further includes:
acquiring a second dust deposit thickness at each preset position by an ultrasonic measurement method;
meanwhile, corresponding preset specific gravity coefficients are respectively distributed to the first dust deposit thickness and the second dust deposit thickness, and the dust deposit measurement thickness at each preset position is calculated by combining the first dust deposit thickness, the second dust deposit thickness and the preset specific gravity coefficients.
Preferably, in step 2, it includes:
based on the equipment parameter information of the boiler, screening in a preset equipment database to obtain the parameters in the boiler, and constructing a three-dimensional model in the boiler by combining a preset modeling method;
acquiring first positions corresponding to the preset positions in the three-dimensional model based on the position information of the preset positions;
labeling the thickness of the deposited dust measurement at each preset position to the corresponding first position to generate a deposited dust model.
Preferably, in step 3, it includes:
acquiring inlet temperature and outlet temperature of the boiler, and calculating a second temperature difference;
Simultaneously, acquiring inlet pressure and outlet pressure of the boiler at the same moment, and calculating pressure difference;
and based on the inlet temperature, the outlet temperature, the second temperature difference, the inlet pressure, the outlet pressure and the pressure difference in a preset period, and combining a temperature difference-pressure difference-thickness history comparison table to obtain the historical accumulated ash thickness which corresponds to the accumulated ash measurement thickness one by one.
Preferably, in step 3, further includes:
generating an in-furnace temperature change curve and a temperature difference change curve corresponding to a second temperature difference according to the inlet temperature, the outlet temperature and the second temperature difference of each preset moment in the preset period;
fitting the temperature change curve and the temperature difference change curve in the furnace to generate a temperature fit curve and a temperature difference fit curve in the furnace, and simultaneously extracting features of the temperature fit curve and the temperature difference fit curve in the furnace to generate a first curve feature;
meanwhile, generating a furnace pressure change curve and a pressure difference change curve based on the inlet pressure, the outlet pressure and the pressure difference;
fitting the furnace internal pressure change curve and the pressure difference change curve to generate a furnace internal pressure fitting curve and a pressure difference fitting curve, and simultaneously, extracting characteristics of the furnace internal pressure fitting curve and the pressure difference fitting curve to generate a second curve characteristic;
Based on the first curve characteristic and the second curve characteristic, simultaneously, combining a preset temperature difference-pressure difference-thickness history comparison table to obtain the historical dust deposit thickness in a historical operation database, and simultaneously, generating a historical dust deposit thickness change curve;
fitting the historical gray thickness change curve to generate a gray thickness fitting curve;
combining the first curve characteristic, the second curve characteristic and the accumulated ash thickness fitting curve to predict the accumulated ash thickness and generate an accumulated ash predicted thickness;
based on a first curve change rate and a second curve change rate corresponding to the gray scale thickness fitting curve, respectively obtaining an upper limit threshold and a lower limit threshold in a period corresponding to the gray scale predicted thickness;
meanwhile, predicting the fluctuation range of the dust deposit thickness based on the dust deposit predicted thickness and an upper limit threshold value and a lower limit threshold value in a corresponding period;
based on the historical deposition thickness and the deposition measurement thickness, simulating the deposition thickness at each preset position in the furnace by using preset simulation software, and generating a deposition prediction model according to the deposition prediction thickness and the deposition thickness fluctuation range.
Preferably, in step 4, the method includes:
inputting an ash deposition thickness curve in the ash deposition prediction model into the preset soot blowing analysis module, and comparing the ash deposition thickness curve with a preset threshold condition to obtain a first comparison result;
Simultaneously, inputting the first comparison result into a preset result-grade matching table to obtain the accumulated ash grade at each preset position in the furnace;
counting the accumulated ash levels at all preset positions in the furnace, and carrying out regional division on the furnace by utilizing a preset regional division algorithm in combination with the accumulated ash model to obtain a plurality of accumulated ash regions;
carrying out statistical analysis on the gray scale of all preset positions in each gray area to obtain gray scale matched with each gray area one by one;
based on the soot deposition area and the corresponding soot deposition degree, matching in the preset soot blowing analysis module to obtain the positions and the number of soot blowers, and generating soot blowing device calling information;
meanwhile, based on the soot blowing device calling information, the soot deposition area and the corresponding soot deposition degree, selecting a soot blowing strategy with the adaptation degree larger than the first adaptation degree from a preset soot blowing strategy selection model;
performing optimal judgment on all the soot blowing strategies by using a preset optimal strategy matching algorithm to obtain an optimal soot blowing strategy;
inputting the optimal soot blowing strategy into the preset soot blowing analysis module, acquiring airflow parameters and frequency parameters matched with each soot blower, and generating equipment soot blowing parameters;
And generating a soot blowing instruction by combining the soot blowing device calling information and the device soot blowing parameters, and controlling the target soot blower to perform soot blowing operation on the target area.
Preferably, in step 4, further includes:
acquiring the soot thickness d of the ith preset position after soot blowing operation 1i I=1, 2, …, n; and combining the soot thickness d before soot blowing operation at the same position in the soot model 2i Calculating to obtain the accumulated ash thickness difference Si at the ith preset position, and constructing a thickness difference matrix corresponding to a designated area in the boiler under the same soot blowing operation;
locking a soot blowing central point and a soot blowing angle under the same soot blowing operation, expanding a soot blowing key range of the soot blowing central point according to the soot blowing angle, and performing first boundary screening in the thickness difference matrix;
meanwhile, analyzing the thickness difference matrix to determine a second boundary of the abrupt thickness difference;
according to the first boundary and the second boundary, calculating a single soot blowing high efficiency value under the corresponding soot blowing operation:
wherein D1 j1 Representing a single soot blowing high efficiency value under the j1 st soot blowing operation; y1 j1 Center point coordinates representing a first boundary in a j1 st soot blowing operation; y0 j1 Center point coordinates representing a second boundary in a j1 st soot blowing operation; c1 represents a circumference corresponding to the first boundary; c2 represents a circumference corresponding to the second boundary; s1 represents an area corresponding to the first boundaryThe method comprises the steps of carrying out a first treatment on the surface of the S2 represents an area corresponding to the second boundary;
calculating a position soot blowing efficiency value for the same position in the boiler under each soot blowing operation;
wherein delta is max Representing the maximum value of all soot blowing rates of the ith preset position under m1 soot blowing operations; delta min Representing the minimum value of all the soot blowing rates of the ith preset position under m1 soot blowing operations; m1 represents the total number of soot blowing operations; a is that i A position soot blowing efficiency value representing an ith preset position; Δj1 represents the soot blowing rate of the ith preset position under the jth 1 soot blowing operation;
constructing and obtaining a first soot blowing vector A1= { D1 of the boiler according to the single soot blowing high-efficiency value j J=1, 2,3,..m.1 }, while constructing a second soot blowing vector a2= { a for the boiler from the location soot blowing efficiency value i ，i＝1，2，3，...，n}；
Inputting the running parameter change value of the boiler under each soot blowing operation into an influence analysis model to obtain a corresponding soot blowing influence vector;
performing soot blowing effect evaluation based on the first soot blowing vector, the second soot blowing vector and all soot blowing influence vectors;
XG＝{G1(A1，B)，G2(A2，B)}
Wherein XG represents the soot blowing effect evaluation result; g1 (A1, B) representing an evaluation function based on the first soot blowing vector and all soot blowing influence vectors B; g2 (A2, B) represents an evaluation function based on the second soot blowing vector and all soot blowing influence vectors B.
The invention provides a soot blowing frequency adjusting system, comprising:
the acquisition module is used for acquiring the dust deposit measurement thicknesses at a plurality of preset positions in the boiler through a preset measurement method, and acquiring the operation parameters of the boiler;
the model generation module is used for constructing a three-dimensional model in the boiler by using a preset modeling method based on equipment parameter information of the boiler, and meanwhile, marking the deposition measurement thickness at each preset position to the same position corresponding to the preset position in the three-dimensional model to generate a deposition model;
the prediction module is used for combining the operation parameters and the dust accumulation model, comprehensively analyzing to obtain the dust accumulation predicted thickness at each position in the furnace, and generating the dust accumulation prediction model;
the parameter adjusting module is used for inputting the soot deposit prediction model into a preset soot blowing analysis module for analysis, adjusting soot blowing parameters of the boiler based on analysis results, and evaluating soot blowing effect according to soot deposit thickness differences at the same position in the boiler before and after each soot blowing operation and operating parameter change values of the boiler.
The working principle and the beneficial effects of the invention are as follows: the invention can accurately identify the dust deposit thickness at a plurality of positions in the boiler through the acquisition module, and simultaneously reduces measurement errors through a plurality of measurement methods, thereby comprehensively calculating the dust deposit measurement thickness; and then, combining equipment parameter information of the boiler, establishing an in-furnace deposition model through a model generation module, predicting the deposition thickness of each position in the boiler through processing analysis of the model, and then carrying out parameter adjustment on soot blowing equipment through a parameter adjustment module, carrying out self-adaptive soot blowing operation on areas or positions with different deposition thicknesses, accurately removing deposition of each position in the boiler, improving the cleaning effect on the deposition in the boiler, ensuring the operation stability of the boiler, and further improving the operation efficiency of the boiler.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a soot blowing frequency adjusting method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a soot blowing frequency adjustment system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
An embodiment of the present invention provides a soot blowing frequency adjustment method, as shown in fig. 1, including:
step 1: acquiring the ash deposition measurement thicknesses of the boiler at a plurality of preset positions by a preset measurement method, and simultaneously acquiring the operation parameters of the boiler;
step 2: based on the equipment parameter information of the boiler, constructing a three-dimensional model in the boiler by using a preset modeling method, and simultaneously, marking the deposition measurement thickness at each preset position to the same position corresponding to the preset position in the three-dimensional model to generate a deposition model;
Step 3: combining the operation parameters and the dust accumulation model, comprehensively analyzing to obtain the dust accumulation predicted thickness at each position in the furnace, and generating a dust accumulation predicted model;
step 4: the soot deposit prediction model is input into a preset soot blowing analysis module for analysis, soot blowing parameters of the boiler are adjusted based on analysis results, and soot blowing effect evaluation is carried out according to soot deposit thickness differences at the same position in the boiler before and after each soot blowing operation and the running parameter change value of the boiler.
In this embodiment, the preset position is determined according to a certain position interval, so that the soot thickness of a plurality of positions can be conveniently obtained, and the soot blowing frequency can be conveniently adjusted.
In this embodiment, the operating parameters refer to the current combustion parameters and combustion modes of the boiler.
In this embodiment, the equipment parameter information refers to the construction conditions of each part of the equipment set by the boiler at the time of factory shipment, such as width, height, length, etc., so that the boiler model in the boiler is conveniently constructed.
In this embodiment, the ash deposition model is obtained by corresponding the preset positions to the positions in the furnace one by one.
In this embodiment, the predicted soot deposition thickness is a prediction of a soot deposition thickness at the preset position, so that the soot blowing can be conveniently and effectively controlled in time.
In this embodiment, the preset soot blowing analysis module is trained in advance by big data, and is used for matching soot blowing parameters to the specified soot blower according to the input soot deposition prediction model.
In this embodiment, the soot blowing parameter adjustment may be an adjustment of the size, direction, frequency of the blowing aimed at, ensuring an efficient operation of the boiler.
In this embodiment, the difference in the thickness of the deposited ash is the difference in the thickness of the deposited ash at the same position before and after the soot blowing operation, and the greater the difference, the better the soot blowing effect, and the more thorough the deposited ash cleaning at the position.
In this embodiment, the operating parameter variation value is the amount of variation in the boiler operating parameter due to the soot blowing operation.
In this embodiment, the soot blowing effect evaluation is a means for evaluating the influence or effect of the current soot blowing operation so as to optimize the soot blowing operation subsequently and continuously improve the soot blowing efficiency.
The working principle and the beneficial effects of the technical scheme are as follows: according to the invention, the deposited ash thickness at a plurality of positions in the boiler can be accurately identified, and meanwhile, the measurement error is reduced through a plurality of measurement methods, so that the deposited ash measurement thickness is comprehensively calculated; and then, combining equipment parameter information of the boiler, establishing an in-furnace soot deposition model, predicting the soot deposition thickness of each position in the boiler through processing analysis of the model, and then carrying out parameter adjustment on soot blowing equipment, so that the self-adaptive soot blowing operation on areas or positions with different soot deposition thicknesses is realized, the soot deposition of each position in the boiler can be accurately removed, the cleaning effect on the soot in the boiler is improved, and meanwhile, the effect evaluation is carried out on each soot blowing operation flow of the boiler, the follow-up optimization of the soot blowing operation flow of the boiler can be facilitated, the soot blowing effect is continuously improved, the running stability of the boiler is gradually improved, and the running efficiency of the boiler is further improved.
The embodiment of the invention provides a soot blowing frequency adjusting method, which comprises the following steps:
acquiring the temperature in the furnace and the temperature outside the furnace at each preset position by an infrared measurement method, and simultaneously calculating a first temperature difference at each preset position;
acquiring a first deposited ash thickness corresponding to a first temperature difference of each preset position based on a preset temperature difference-thickness comparison table;
meanwhile, the operation parameters of the boiler during infrared measurement are obtained, and an operation parameter curve is generated according to the operation parameters.
In this embodiment, the infrared measurement method: the method for measuring the internal and external temperatures at the preset position of the boiler by using infrared temperature measuring equipment such as an infrared thermal imager and the like is a nondestructive monitoring method, and the normal operation of the boiler is not interfered during measurement;
in this embodiment, the first temperature difference: i.e. the difference value between the temperature inside the furnace and the temperature outside the furnace at the same preset position;
in this example, a temperature difference-thickness comparison table is preset: the system comprises a comparison table related to the association relation between the first temperature difference and the accumulated ash thickness, and is used for acquiring the accumulated ash thickness of the corresponding position according to the first temperature difference of each preset position;
in this embodiment, the first soot thickness: i.e. the deposited ash thickness at each preset position according to a preset temperature difference-thickness comparison table;
In this embodiment, the operating parameter curves: and a curve generated according to the key operation parameter change of the boiler during infrared measurement is used as a reference for the subsequent soot blowing effect analysis.
The working principle and the beneficial effects of the technical scheme are as follows: according to the invention, the temperature in the furnace and the temperature outside the furnace at each preset position can be accurately measured by an infrared measurement method, the temperature difference at each preset position is calculated, and then the accumulated ash thickness at each preset position can be rapidly and rapidly obtained by inputting the temperature difference into a preset temperature difference-thickness comparison table for comparison, so that the accumulated ash model can be conveniently and subsequently generated, meanwhile, the key operation parameters of the boiler in the measurement process can be obtained, and an operation parameter curve can be generated, thereby providing convenience for the subsequent soot blowing analysis.
The embodiment of the invention provides a soot blowing frequency adjusting method, which further comprises the following steps:
acquiring a second dust deposit thickness at each preset position by an ultrasonic measurement method;
meanwhile, corresponding preset specific gravity coefficients are respectively distributed to the first deposition thickness and the second deposition thickness, and the deposition measurement thickness at each preset position is calculated by combining the first deposition thickness, the second deposition thickness and the preset specific gravity coefficients.
In this embodiment, the ultrasonic measurement method: the method for measuring the thickness of the deposited ash in the boiler is calculated by utilizing reflection and attenuation generated when ultrasonic waves propagate in the boiler, and the method is a nondestructive detection method as well as an infrared measurement method;
in this embodiment, the second soot thickness: the thickness of the deposited ash at each preset position is measured by an ultrasonic measurement method;
in this embodiment, a specific gravity coefficient is preset: the weight coefficient used for distributing the first deposited ash thickness measured based on the infrared measurement method and the second deposited ash thickness measured based on the ultrasonic measurement method is convenient for comprehensively calculating the deposited ash thickness at the same position, and reduces the error of deposited ash measurement.
The working principle and the beneficial effects of the technical scheme are as follows: the invention also measures the second deposited ash thickness at each preset position by an ultrasonic measuring method, combines the first deposited ash thickness, respectively endows the first deposited ash thickness and the second deposited ash thickness with corresponding specific gravity coefficients, further comprehensively calculates the deposited ash thickness at each preset position, reduces the measuring error caused by a single measuring method, improves the measuring accuracy of the deposited ash thickness, and ensures the reliability of obtaining the thickness at each preset position.
The embodiment of the invention provides a soot blowing frequency adjusting method, which comprises the following steps:
based on the equipment parameter information of the boiler, screening in a preset equipment database to obtain the parameters in the boiler, and constructing a three-dimensional model in the boiler by combining a preset modeling method;
acquiring first positions corresponding to each preset position in the three-dimensional model based on the position information of the preset positions;
labeling the thickness of the deposited ash measurement at each preset position to the corresponding first position to generate a deposited ash model.
In this embodiment, the device database is preset: the database for storing equipment parameters of the boilers with various models is pre-established;
in this example, furnace parameters: the method comprises the following steps of including parameters such as the thickness of the inner wall of the boiler, the curvature of different curved surfaces, the length, the width, the height and the like, and is used for conveniently constructing a modeling model in the boiler in a follow-up mode;
in this embodiment, the modeling method is preset: the method for constructing and obtaining the corresponding furnace model according to the furnace parameters is preset;
in this embodiment, a three-dimensional model: a digital three-dimensional model which is obtained through a preset modeling method and is consistent with all furnace parameters of the boiler;
in this embodiment, the position information: namely, the position of each preset position in the boiler can be constructed to obtain the three-dimensional coordinate of each preset position through a reference system and a coordinate system;
In this embodiment, the first position: the three-dimensional model corresponds to each preset position in the actual boiler one by one.
The working principle and the beneficial effects of the technical scheme are as follows: according to the method, the three-dimensional model in the boiler is constructed through the preset modeling method and the furnace parameters obtained in the preset equipment database, each preset position corresponds to the first position in the three-dimensional model one by one, and meanwhile, the ash deposition thickness information of each measured preset position is marked at the first position to obtain the ash deposition model based on the ash deposition measurement thickness, so that the visual effect of data is improved, and a foundation can be provided for subsequent ash deposition analysis and soot blowing analysis.
The embodiment of the invention provides a soot blowing frequency adjusting method, which comprises the following steps:
acquiring inlet temperature and outlet temperature of the boiler, and calculating a second temperature difference;
simultaneously, acquiring inlet pressure and outlet pressure of the boiler at the same moment, and calculating pressure difference;
and based on the inlet temperature, the outlet temperature, the second temperature difference, the inlet pressure, the outlet pressure and the pressure difference in a preset period, and combining a temperature difference-pressure difference-thickness history comparison table to obtain the historical accumulated ash thickness which corresponds to the accumulated ash measurement thickness one by one.
In this example, inlet temperature: a temperature value at the inlet of the boiler;
in this example, the outlet temperature: a temperature value at the boiler outlet;
in this embodiment, the second temperature difference: the difference between the inlet temperature and the outlet temperature of the boiler;
in this example, inlet pressure: a fluid pressure value at the boiler inlet;
in this embodiment, the outlet pressure: a fluid pressure value at the boiler outlet;
in this embodiment, the pressure difference: the difference between the inlet pressure and the outlet pressure can reflect the operation state of the boiler;
in this embodiment, the preset period: the preset time period with fixed duration is used for counting the temperature difference and the data of the pressure difference in a period of time;
in this example, the temperature difference-pressure difference-thickness history table: the control table comprises mapping relations among temperature difference, pressure difference and deposited ash thickness, is preset and is used for acquiring corresponding deposited ash thickness according to the input temperature difference and pressure difference;
in this example, the historical ash thickness: according to the accumulated ash thickness in the preset time period obtained by the temperature difference-pressure difference-thickness history comparison table, as the accumulated ash thickness in the furnace is accumulated continuously along with time, the current accumulated ash measurement thickness can be corrected and referenced through the accumulated ash thickness change in a certain time period, and the accumulated ash measurement error is reduced.
The working principle and the beneficial effects of the technical scheme are as follows: the conditions of combustion and heat energy conversion in the boiler can be accurately reflected through the inlet and outlet temperature and inlet and outlet pressure data of the boiler, so that the conditions of heat efficiency and heat energy loss in the boiler can be analyzed through calculating the second temperature difference and the pressure difference, the condition of dust accumulation in the boiler can be determined, the current dust accumulation measurement thickness can be corrected and referenced through the historical change information of the dust accumulation thickness in a certain period, the measurement error of the dust accumulation is reduced, and an analysis basis is provided for the follow-up.
The embodiment of the invention provides a soot blowing frequency adjusting method, which further comprises the following steps:
generating a temperature change curve in the furnace and a temperature difference change curve corresponding to the second temperature difference according to the inlet temperature, the outlet temperature and the second temperature difference at each preset moment in a preset period;
fitting the temperature change curve and the temperature difference change curve in the furnace to generate a temperature fit curve and a temperature difference fit curve in the furnace, and simultaneously extracting characteristics of the temperature fit curve and the temperature difference fit curve in the furnace to generate a first curve characteristic;
meanwhile, generating a furnace pressure change curve and a pressure difference change curve based on inlet pressure, outlet pressure and pressure difference;
Fitting the furnace internal pressure change curve and the pressure difference change curve to generate a furnace internal pressure fitting curve and a pressure difference fitting curve, and simultaneously, extracting characteristics of the furnace internal pressure fitting curve and the pressure difference fitting curve to generate a second curve characteristic;
based on the first curve characteristic and the second curve characteristic, simultaneously, combining a preset temperature difference-pressure difference-thickness history comparison table, acquiring the historical accumulated ash thickness from a historical operation database, and simultaneously, generating a historical accumulated ash thickness change curve;
fitting the historical soot thickness change curve to generate a soot thickness fitting curve;
combining the first curve characteristic, the second curve characteristic and the accumulated ash thickness fitting curve to predict the accumulated ash thickness, so as to generate an accumulated ash predicted thickness;
respectively obtaining an upper limit threshold value and a lower limit threshold value in a period corresponding to the accumulated ash predicted thickness based on a first curve change rate and a second curve change rate corresponding to the accumulated ash thickness fitting curve;
meanwhile, predicting the fluctuation range of the dust deposit thickness based on the dust deposit predicted thickness and an upper limit threshold value and a lower limit threshold value in a corresponding period;
based on the historical deposition thickness and the deposition measurement thickness, the deposition thickness at each preset position in the furnace is simulated by using preset simulation software, and a deposition prediction model is generated according to the deposition prediction thickness and the deposition thickness fluctuation range.
In this embodiment, the time is preset: the time corresponding to the acquisition time of the inlet temperature, the outlet temperature and the second temperature difference in a preset period;
in this example, the temperature profile in the furnace: according to the inlet temperature and outlet temperature change values at all preset moments in a preset period, an inlet-outlet temperature change curve is formed and used for describing the temperature change trend in the furnace;
in this example, the temperature difference profile: a curve generated according to the numerical variation of the second temperature difference in a preset period is used for describing the variation trend or trend of the temperature difference in the period;
in this example, the furnace temperature fits a curve: the curve which is obtained after the fitting treatment of the temperature change curve in the furnace is smoother and can be expressed by a mathematical function, thereby being convenient for the subsequent data analysis;
in this example, the temperature difference fits a curve: fitting the temperature difference change curve to obtain a smooth curve;
in this embodiment, the first curve feature: characteristic information, such as the maximum value, slope, smoothing coefficient and the like of the curve, is obtained after the curve characteristics in the furnace temperature fitting curve and the temperature difference fitting curve are extracted;
in this example, the furnace pressure profile: a change curve generated according to inlet and outlet pressure data in a preset period;
In this embodiment, the pressure differential change curve: a curve generated according to the differential pressure change data in a preset period;
in this example, the furnace pressure was fitted to a curve: fitting the furnace pressure change curve to obtain a smooth curve;
in this example, the pressure difference fits a curve: fitting the pressure difference change curve to obtain a smooth curve;
in this embodiment, the second curve feature: extracting the characteristics in the fit curve of the pressure in the furnace and the fit curve of the pressure difference to obtain characteristic information;
in this embodiment, the historical operating database: a database storing a plurality of operational data of the boiler;
in this example, the historical soot thickness profile: a change curve generated according to the numerical change caused by the change of the historical dust thickness along with the time;
in this example, the soot thickness fits a curve: a smooth curve obtained after fitting the historical dust deposit thickness change curve is used for describing the change trend of the historical dust deposit thickness;
in this example, the soot deposition predicted thickness: according to the first curve characteristic, the second curve characteristic and the accumulated ash thickness fitting curve, carrying out advanced prediction on the trend of the accumulated ash thickness fitting curve in a certain future period, and further obtaining an accumulated ash thickness predicted value;
In this embodiment, the first curve rate of change: i.e. the maximum slope of the soot thickness fitting curve;
in this embodiment, the second curve rate of change: that is, the minimum slope of the fitting curve of the deposited ash thickness, in general, the deposited ash thickness at the same position is in an increasing situation, so the minimum slope is generally a positive number;
in this embodiment, the upper threshold: a maximum value of the accumulated ash predicted thickness obtained according to the first curve change rate;
in this embodiment, the lower threshold: the minimum value of the accumulated ash predicted thickness obtained according to the second curve change rate corresponds to the upper limit threshold value, and the accumulated ash predicted thickness is located between the upper limit threshold value and the lower limit threshold value;
in this example, the range of fluctuation of the deposition thickness: according to the fluctuation range of possible change of the accumulated ash thickness generated by the upper limit threshold value, the lower limit threshold value and the accumulated ash predicted thickness in the same time period, the smaller the fluctuation range is, the more accurate the result of the accumulated ash thickness prediction is;
in this embodiment, simulation software is preset: and the software is used for simulating the thickness of the deposited ash at each position in the furnace according to the input historical deposited ash thickness and the deposited ash measurement thickness and combining a three-dimensional model in the furnace.
The working principle and the beneficial effects of the technical scheme are as follows: according to the invention, the temperature difference curve characteristic is conveniently generated by acquiring the temperature difference change curve and fitting, and the pressure curve characteristic is conveniently generated by acquiring the pressure change curve and fitting, so that the effective prediction of the accumulated ash at each position in the furnace and the effective construction of an accumulated ash prediction model can be realized by combining the first curve characteristic and the second curve characteristic and the fitting curve of the historical accumulated ash thickness.
The embodiment of the invention provides a soot blowing frequency adjusting method, which comprises the following steps:
inputting an ash deposition thickness curve in an ash deposition prediction model into a preset soot blowing analysis module, and comparing the ash deposition thickness curve with a preset threshold condition to obtain a first comparison result;
meanwhile, inputting the first comparison result into a preset result-grade matching table to obtain the accumulated ash grade at each preset position in the furnace;
counting the accumulated ash levels at all preset positions in the furnace, and carrying out regional division on the furnace by utilizing a preset regional division algorithm in combination with an accumulated ash model to obtain a plurality of accumulated ash regions;
carrying out statistical analysis on the gray scale of all preset positions in each gray area to obtain gray scale matched with each gray area one by one;
based on the soot deposition area and the corresponding soot deposition degree, matching in a preset soot blowing analysis module to obtain the positions and the number of soot blowers, and generating soot blowing device calling information;
meanwhile, based on soot blower call information, a soot deposition area and corresponding soot deposition degree, selecting a soot blowing strategy with the adaptation degree larger than the first adaptation degree from a preset soot blowing strategy selection model;
performing optimal judgment on all soot blowing strategies by using a preset optimal strategy matching algorithm to obtain an optimal soot blowing strategy;
Inputting an optimal soot blowing strategy into a preset soot blowing analysis module, acquiring airflow parameters and frequency parameters matched with each soot blower, and generating equipment soot blowing parameters;
and generating a soot blowing instruction by combining the soot blowing device calling information and the device soot blowing parameters, and controlling the target soot blower to perform soot blowing operation on the target area.
In this embodiment, a threshold condition is preset: the threshold condition for determining the level of the thickness of the deposited ash is preset;
in this example, the first comparison results: combining a preset threshold condition, and carrying out comparison results generated after analysis on the accumulated ash thickness curve through a preset soot blowing analysis module;
in this embodiment, the result-rank matching table is preset: the mapping table comprises a mapping relation between a first comparison result and the accumulated ash thickness grade and is used for acquiring the corresponding accumulated ash thickness grade according to the input first comparison result;
in this embodiment, the region division algorithm is preset: the algorithm for defining different soot deposition areas according to the soot deposition levels at each position in the furnace is convenient for carrying out corresponding soot blowing parameter adjustment on the soot deposition in different areas through the soot blowers, and improves the soot blowing efficiency;
in this embodiment, the ash deposition area: a plurality of areas obtained by carrying out area division on the furnace through a preset area division algorithm;
In this example, the ash deposition level: the coefficient is obtained after statistical analysis according to the gray scale of each area at all preset positions and used for representing the gray scale of the area;
in this embodiment, the sootblower call information: information generated according to the positions and corresponding quantity of soot blowers required to be called;
in this embodiment, a soot blowing strategy selection model is preset: the model is used for comprehensively selecting a soot blowing strategy corresponding to the soot blowing operation according to the soot blowing equipment calling information, the soot deposition area and the soot deposition degree corresponding to the soot deposition area, and is preset;
in this embodiment, the first fitness: the method comprises the steps of selecting a threshold value of a soot blowing strategy meeting preset conditions from a preset primary return strategy model;
in this embodiment, the soot blowing strategy: the execution strategy which is obtained through selection in a preset soot blowing strategy selection model and is used for performing soot blowing operation on a target area, such as a soot blowing mode, a soot blowing duration and the like;
in this embodiment, an optimal policy matching algorithm is preset: the algorithm for optimally judging the screened soot blowing strategies so as to screen the optimal strategy which best meets the soot blowing requirements or has the optimal soot blowing effect is preset;
In this embodiment, the optimal soot blowing strategy: calculating all soot blowing strategies meeting the conditions through a preset optimal strategy matching algorithm, and screening to obtain an optimal strategy;
in this embodiment, the airflow parameters: parameters such as airflow velocity, pressure and flow of the soot blower are included;
in this embodiment, the frequency parameter: that is, the frequency of the soot blowing operation of the soot blower is divided into fixed frequency or variable frequency, and in general, the higher the load of the boiler is, the faster the deposited soot is, the higher the thickness level of the deposited soot is, and the higher the soot blowing frequency is;
in this embodiment, the device soot blowing parameters: the execution parameters are comprehensively generated according to the airflow parameters and the frequency parameters distributed to the soot blowers and are used for generating soot blowing instructions subsequently;
in this embodiment, the soot blowing instruction: and an instruction which is generated according to the soot blowing device calling information and the device soot blowing parameters and is used for controlling each target soot blower to perform soot blowing operation.
The working principle and the beneficial effects of the technical scheme are as follows: the method compares the curve analysis with the preset threshold condition through the model, and then effectively determines the dust accumulation degree of different areas through the comparison analysis of the matching table, so as to obtain the equipment calling information and prepare for soot blowing operation.
The embodiment of the invention provides a soot blowing frequency adjusting method, which further comprises the following steps:
acquiring the accumulated ash thickness d of the ith preset position after soot blowing operation 1i I=1, 2, …, n; and combining the soot thickness d before soot blowing operation at the same position in the soot model 2i Calculating to obtain the accumulated ash thickness difference Si at the ith preset position, and constructing a thickness difference matrix corresponding to a designated area in the boiler under the same soot blowing operation;
locking a soot blowing central point and a soot blowing angle under the same soot blowing operation, expanding a soot blowing key range of the soot blowing central point according to the soot blowing angle, and performing first boundary screening in a thickness difference matrix;
meanwhile, analyzing the thickness difference matrix to determine a second boundary of the abrupt thickness difference;
according to the first boundary and the second boundary, calculating a single soot blowing high efficiency value under the corresponding soot blowing operation:
wherein D1 j1 Representing a single soot blowing high efficiency value under the j1 st soot blowing operation; y1 j1 Center point coordinates representing a first boundary in a j1 st soot blowing operation; y0 j1 Center point coordinates representing a second boundary in a j1 st soot blowing operation; c1 represents a circumference corresponding to the first boundary; c2 represents a circumference corresponding to the second boundary; s1 represents an area corresponding to the first boundary; s2 represents an area corresponding to the second boundary;
Calculating a position soot blowing efficiency value for the same position in the boiler under each soot blowing operation;
wherein delta is max Representing the maximum value of all soot blowing rates of the ith preset position under m1 soot blowing operations; delta min Representing the minimum value of all the soot blowing rates of the ith preset position under m1 soot blowing operations; m1 represents the total number of soot blowing operations; a is that i A position soot blowing efficiency value representing an ith preset position; Δj1 represents the soot blowing rate of the ith preset position under the jth 1 soot blowing operation;
constructing and obtaining a first soot blowing vector A1= { D1 of the boiler according to the single soot blowing high-efficiency value j J=1, 2,3,..m.1 }, and simultaneously constructing a second soot blowing vector a2= { a of the boiler according to the position soot blowing efficiency value i ，i＝1，2，3，...，n}；
Inputting the running parameter change value of the boiler under each soot blowing operation into an influence analysis model to obtain a corresponding soot blowing influence vector;
performing soot blowing effect evaluation based on the first soot blowing vector, the second soot blowing vector and all soot blowing influence vectors;
XG＝{G1(A1，B)，G2(A2，B)}
wherein XG represents the soot blowing effect evaluation result; g1 (A1, B) representing an evaluation function based on the first soot blowing vector and all soot blowing influence vectors B; g2 (A2, B) represents an evaluation function based on the second soot blowing vector and all soot blowing influence vectors B.
In this embodiment, the thickness difference matrix: a matrix formed by the difference of the accumulated ash thickness of all preset positions in a designated area corresponding to the same soot blowing operation;
in this embodiment, the soot blowing center point: namely, the intersection point of the central extension line of the airflow jet path of the soot blower in the appointed area in the furnace;
in this embodiment, the soot blowing angle: an included angle formed by the outlet of the soot blower in the appointed area;
in this embodiment, the key range extends: the soot blowing center point is taken as the center, and the soot blowing range is formed by combining the soot blowing angle to expand outwards;
in this embodiment, the first boundary: selecting a thickness difference smaller than a first preset condition from a thickness difference matrix as a first boundary, namely a boundary formed by a soot blowing range under a first screening condition;
in this embodiment, the second boundary: taking a point with the abrupt change value of the thickness difference larger than a second preset condition according to the similar position in the thickness difference matrix as a second boundary of the soot blowing range, namely, a boundary formed by the soot blowing range under the second condition;
in this embodiment, a single soot blowing high efficiency value: the larger the numerical value is, the higher the soot blowing efficiency of the soot blowing operation is;
In this embodiment, the impact analysis model: the model for judging the soot blowing effect of each soot blowing operation according to the change of the operation parameters of the soot blowing operation is preset;
the working principle and the beneficial effects of the technical scheme are as follows: according to the invention, the thickness difference is determined based on the accumulated ash thickness after the soot blowing operation and the accumulated ash thickness before the soot blowing operation, and the thickness difference matrix is constructed according to all the thickness differences in the designated area, so that the data in the thickness difference matrix are analyzed through a preset algorithm, the influence of the current soot blowing operation on the operation parameters of the boiler is considered, the soot blowing effect is comprehensively evaluated, the accuracy of soot blowing effect judgment is greatly improved, the follow-up optimization adjustment of the soot blowing frequency is facilitated, and the soot blowing efficiency is improved.
The invention provides a soot blowing frequency adjusting system, as shown in fig. 2, comprising:
the acquisition module is used for acquiring the dust deposit measurement thicknesses at a plurality of preset positions in the boiler through a preset measurement method, and acquiring the operation parameters of the boiler;
the model generation module is used for constructing a three-dimensional model in the boiler by using a preset modeling method based on equipment parameter information of the boiler, and meanwhile, marking the deposition measurement thickness at each preset position to the same position corresponding to the preset position in the three-dimensional model to generate a deposition model;
The prediction module is used for combining the operation parameters and the dust accumulation model, comprehensively analyzing to obtain the dust accumulation predicted thickness at each position in the furnace, and generating the dust accumulation prediction model;
the parameter adjusting module is used for inputting the soot deposit prediction model into the preset soot blowing analysis module for analysis, adjusting soot blowing parameters of the boiler based on analysis results, and evaluating soot blowing effect according to soot deposit thickness differences at the same position in the boiler before and after each soot blowing operation and the running parameter change value of the boiler.
The beneficial effects of the technical scheme are as follows: the invention can accurately identify the dust deposit thickness at a plurality of positions in the boiler through the acquisition module, and simultaneously reduces measurement errors through a plurality of measurement methods, thereby comprehensively calculating the dust deposit measurement thickness; and then, combining equipment parameter information of the boiler, establishing an in-furnace deposition model through a model generation module, predicting the deposition thickness of each position in the boiler through processing analysis of the model, and then carrying out parameter adjustment on soot blowing equipment through a parameter adjustment module, carrying out self-adaptive soot blowing operation on areas or positions with different deposition thicknesses, accurately removing deposition of each position in the boiler, improving the cleaning effect on the deposition in the boiler, ensuring the operation stability of the boiler, and further improving the operation efficiency of the boiler.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. A soot blowing frequency adjustment method, comprising:
step 1: acquiring the ash deposition measurement thicknesses of the boiler at a plurality of preset positions by a preset measurement method, and simultaneously acquiring the operation parameters of the boiler;
step 2: based on equipment parameter information of a boiler, constructing a three-dimensional model in the boiler by using a preset modeling method, and simultaneously, marking the deposition measurement thickness at each preset position to the same position corresponding to the preset position in the three-dimensional model to generate a deposition model;
step 3: combining the operation parameters and the dust accumulation model, comprehensively analyzing to obtain the dust accumulation predicted thickness at each position in the furnace, and generating a dust accumulation predicted model;
step 4: and inputting the soot deposit prediction model into a preset soot blowing analysis module for analysis, adjusting soot blowing parameters of the boiler based on analysis results, and evaluating soot blowing effect according to soot deposit thickness differences at the same position in the boiler before and after each soot blowing operation and the running parameter change value of the boiler.
2. The soot blowing frequency adjusting method according to claim 1, wherein in step 1, comprising:
acquiring the temperature in the furnace and the temperature outside the furnace at each preset position by an infrared measurement method, and simultaneously calculating a first temperature difference at each preset position;
acquiring a first deposited ash thickness corresponding to a first temperature difference of each preset position based on a preset temperature difference-thickness comparison table;
meanwhile, the operation parameters of the boiler during infrared measurement are obtained, and an operation parameter curve is generated according to the operation parameters.
3. The soot blowing frequency adjusting method according to claim 2, wherein in step 1, further comprising:
acquiring a second dust deposit thickness at each preset position by an ultrasonic measurement method;
meanwhile, corresponding preset specific gravity coefficients are respectively distributed to the first dust deposit thickness and the second dust deposit thickness, and the dust deposit measurement thickness at each preset position is calculated by combining the first dust deposit thickness, the second dust deposit thickness and the preset specific gravity coefficients.
4. The soot blowing frequency adjusting method according to claim 1, wherein in step 2, comprising:
Based on the equipment parameter information of the boiler, screening in a preset equipment database to obtain the parameters in the boiler, and constructing a three-dimensional model in the boiler by combining a preset modeling method;
acquiring first positions corresponding to the preset positions in the three-dimensional model based on the position information of the preset positions;
labeling the thickness of the deposited dust measurement at each preset position to the corresponding first position to generate a deposited dust model.
5. The soot blowing frequency adjusting method according to claim 1, wherein in step 3, comprising:
acquiring inlet temperature and outlet temperature of the boiler, and calculating a second temperature difference;
simultaneously, acquiring inlet pressure and outlet pressure of the boiler at the same moment, and calculating pressure difference;
and based on the inlet temperature, the outlet temperature, the second temperature difference, the inlet pressure, the outlet pressure and the pressure difference in a preset period, and combining a temperature difference-pressure difference-thickness history comparison table to obtain the historical accumulated ash thickness which corresponds to the accumulated ash measurement thickness one by one.
6. The method for adjusting soot blowing frequency according to claim 5, wherein in step 3, further comprising:
Generating an in-furnace temperature change curve and a temperature difference change curve corresponding to a second temperature difference according to the inlet temperature, the outlet temperature and the second temperature difference of each preset moment in the preset period;
fitting the temperature change curve and the temperature difference change curve in the furnace to generate a temperature fit curve and a temperature difference fit curve in the furnace, and simultaneously extracting features of the temperature fit curve and the temperature difference fit curve in the furnace to generate a first curve feature;
meanwhile, generating a furnace pressure change curve and a pressure difference change curve based on the inlet pressure, the outlet pressure and the pressure difference;
fitting the furnace internal pressure change curve and the pressure difference change curve to generate a furnace internal pressure fitting curve and a pressure difference fitting curve, and simultaneously, extracting characteristics of the furnace internal pressure fitting curve and the pressure difference fitting curve to generate a second curve characteristic;
based on the first curve characteristic and the second curve characteristic, simultaneously, combining a preset temperature difference-pressure difference-thickness history comparison table to obtain the historical dust deposit thickness in a historical operation database, and simultaneously, generating a historical dust deposit thickness change curve;
fitting the historical gray thickness change curve to generate a gray thickness fitting curve;
Combining the first curve characteristic, the second curve characteristic and the accumulated ash thickness fitting curve to predict the accumulated ash thickness and generate an accumulated ash predicted thickness;
based on a first curve change rate and a second curve change rate corresponding to the gray scale thickness fitting curve, respectively obtaining an upper limit threshold and a lower limit threshold in a period corresponding to the gray scale predicted thickness;
meanwhile, predicting the fluctuation range of the dust deposit thickness based on the dust deposit predicted thickness and an upper limit threshold value and a lower limit threshold value in a corresponding period;
based on the historical deposition thickness and the deposition measurement thickness, simulating the deposition thickness at each preset position in the furnace by using preset simulation software, and generating a deposition prediction model according to the deposition prediction thickness and the deposition thickness fluctuation range.
7. The soot blowing frequency adjusting method according to claim 1, wherein in step 4, comprising:
inputting an ash deposition thickness curve in the ash deposition prediction model into the preset soot blowing analysis module, and comparing the ash deposition thickness curve with a preset threshold condition to obtain a first comparison result;
simultaneously, inputting the first comparison result into a preset result-grade matching table to obtain the accumulated ash grade at each preset position in the furnace;
Counting the accumulated ash levels at all preset positions in the furnace, and carrying out regional division on the furnace by utilizing a preset regional division algorithm in combination with the accumulated ash model to obtain a plurality of accumulated ash regions;
carrying out statistical analysis on the gray scale of all preset positions in each gray area to obtain gray scale matched with each gray area one by one;
based on the soot deposition area and the corresponding soot deposition degree, matching in the preset soot blowing analysis module to obtain the positions and the number of soot blowers, and generating soot blowing device calling information;
meanwhile, based on the soot blowing device calling information, the soot deposition area and the corresponding soot deposition degree, selecting a soot blowing strategy with the adaptation degree larger than the first adaptation degree from a preset soot blowing strategy selection model;
performing optimal judgment on all the soot blowing strategies by using a preset optimal strategy matching algorithm to obtain an optimal soot blowing strategy;
inputting the optimal soot blowing strategy into the preset soot blowing analysis module, acquiring airflow parameters and frequency parameters matched with each soot blower, and generating equipment soot blowing parameters;
and generating a soot blowing instruction by combining the soot blowing device calling information and the device soot blowing parameters, and controlling the target soot blower to perform soot blowing operation on the target area.
8. The method of claim 7, wherein in step 4, further comprising:
acquiring the soot thickness d of the ith preset position after soot blowing operation 1i I=1, 2, …, n; and combining the soot thickness d before soot blowing operation at the same position in the soot model 2i Calculating to obtain the accumulated ash thickness difference Si at the ith preset position, and constructing a thickness difference matrix corresponding to a designated area in the boiler under the same soot blowing operation;
locking a soot blowing central point and a soot blowing angle under the same soot blowing operation, expanding a soot blowing key range of the soot blowing central point according to the soot blowing angle, and performing first boundary screening in the thickness difference matrix;
meanwhile, analyzing the thickness difference matrix to determine a second boundary of the abrupt thickness difference;
according to the first boundary and the second boundary, calculating a single soot blowing high efficiency value under the corresponding soot blowing operation:
wherein D1 j1 Representing a single soot blowing high efficiency value under the j1 st soot blowing operation; y1 j1 Center point coordinates representing a first boundary in a j1 st soot blowing operation; y0 j1 Center point coordinates representing a second boundary in a j1 st soot blowing operation; c1 represents a circumference corresponding to the first boundary; c2 represents a circumference corresponding to the second boundary; s1 represents an area corresponding to the first boundary; s2 represents an area corresponding to the second boundary;
Calculating a position soot blowing efficiency value for the same position in the boiler under each soot blowing operation;
wherein delta is max Representing the maximum value of all soot blowing rates of the ith preset position under m1 soot blowing operations; delta min Representing the minimum value of all the soot blowing rates of the ith preset position under m1 soot blowing operations; m1 represents the total number of soot blowing operations; a is that j A position soot blowing efficiency value representing an ith preset position; Δj1 represents the soot blowing rate of the ith preset position under the jth 1 soot blowing operation;
constructing and obtaining a first soot blowing vector A1= { D1 of the boiler according to the single soot blowing high-efficiency value j J=1, 2,3,..m.1 }, while constructing from the location soot blowing efficiency valuesA second soot blowing vector a2= { a to the boiler i ，i＝1，2，3，...，n}；
Inputting the running parameter change value of the boiler under each soot blowing operation into an influence analysis model to obtain a corresponding soot blowing influence vector;
performing soot blowing effect evaluation based on the first soot blowing vector, the second soot blowing vector and all soot blowing influence vectors;
XG＝{G1(A1，B)，G2(A2，B)}
wherein XG represents the soot blowing effect evaluation result; g1 (A1, B) representing an evaluation function based on the first soot blowing vector and all soot blowing influence vectors B; g2 (A2, B) represents an evaluation function based on the second soot blowing vector and all soot blowing influence vectors B.
9. A soot blowing frequency adjustment system, comprising:
the acquisition module is used for acquiring the dust deposit measurement thicknesses at a plurality of preset positions in the boiler through a preset measurement method, and acquiring the operation parameters of the boiler;
the model generation module is used for constructing a three-dimensional model in the boiler by using a preset modeling method based on equipment parameter information of the boiler, and meanwhile, marking the deposition measurement thickness at each preset position to the same position corresponding to the preset position in the three-dimensional model to generate a deposition model;
the prediction module is used for combining the operation parameters and the dust accumulation model, comprehensively analyzing to obtain the dust accumulation predicted thickness at each position in the furnace, and generating the dust accumulation prediction model;
the parameter adjusting module is used for inputting the soot deposit prediction model into a preset soot blowing analysis module for analysis, adjusting soot blowing parameters of the boiler based on analysis results, and evaluating soot blowing effect according to soot deposit thickness differences at the same position in the boiler before and after each soot blowing operation and operating parameter change values of the boiler.
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