CN108955261B - Sintering machine air volume control method and system based on sound source characteristics - Google Patents
Sintering machine air volume control method and system based on sound source characteristics Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27B—FURNACES, KILNS, OVENS, OR RETORTS IN GENERAL; OPEN SINTERING OR LIKE APPARATUS
- F27B21/00—Open or uncovered sintering apparatus; Other heat-treatment apparatus of like construction
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0028—Regulation
- F27D2019/0078—Regulation of the speed of the gas through the charge
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0096—Arrangements of controlling devices involving simulation means, e.g. of the treating or charging step
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27M—INDEXING SCHEME RELATING TO ASPECTS OF THE CHARGES OR FURNACES, KILNS, OVENS OR RETORTS
- F27M2003/00—Type of treatment of the charge
- F27M2003/04—Sintering
Abstract
The invention discloses a sintering machine air volume control method and system based on sound source characteristics. The sintering workshop is provided with a sound signal collector, and the outlet of the main exhaust fan is provided with an air volume detector, and the method comprises the following steps: step 1: collecting sound data of a sintering workshop under various working conditions; carrying out information source reconstruction on sound data of a sintering workshop to obtain an information source reconstruction sample set; constructing a sintering machine air leakage rate evaluation model by using the obtained information source reconstruction sample set; step 2: collecting sound data of a sintering workshop in real time, and calculating the air leakage rate index of the sintering machine on line according to the air leakage rate evaluation model; and step 3: acquiring outlet air quantity of a main exhaust fan in real time, and calculating outlet error air quantity of the fan according to the detected outlet air quantity and theoretical air quantity of the sintering machine; calculating the air leakage amount compensation value of the sintering machine according to the air leakage rate index of the sintering machine, calculating the error air amount of the sintering machine according to the air leakage amount compensation value and the outlet error air amount, and adjusting the motor frequency of the main exhaust fan according to the error air amount of the sintering machine.
Description
Technical Field
The invention relates to a sintering machine air volume control method and system based on sound source characteristics.
Background
Iron ore sintering is an important link in the modern ferrous metallurgy process, and the most main production link is to ignite and burn uniformly mixed small granular raw materials on a trolley type sintering machine so as to fuse the raw materials into blocky sintered ores. In order to ensure the strength and chemical composition of the agglomerate of the sintered ore, the raw materials need to be sufficiently combusted on the sintering machine. The small granular raw materials which are uniformly mixed and stirred are uniformly distributed in a thick material layer mode on the sintering machine, in order to ensure the sufficient combustion of the raw materials, the sintering machine is provided with an air box below the raw material layer and connected with a main sintering exhaust fan, and fresh air is brought into the raw material layer which is combusted through the negative pressure generated by the main exhaust fan. The sintering production needs to provide effective air volume control for the sintering machine so as to meet the aims of improving the yield and quality of sintered ore and reducing the production energy consumption. The air leakage of the sintering machine is an important influence factor of the air quantity in the air draft sintering process, and the air leakage phenomenon in the sintering production process can cause the actual sintering air quantity to be seriously lower than the set air quantity due to the sealing structure of the sintering machine and the maintenance problem of long-term use, so that the phenomenon of insufficient combustion of raw materials is caused, and the quality of sintered ores is influenced. The sintering machine and the attached air boxes, air pipes, valves and the like thereof are complex in structure and work at a high temperature state, so that the detection of the air leakage rate is always lack of an effective means, and a key feedback variable which is lacked in an air volume closed-loop control system of a main sintering exhaust fan cannot be accurately adjusted in real time. Therefore, the air quantity of the air pipe can be controlled only in the current sintering production, but the air quantity control aiming at the sintering machine cannot be performed. The solution of the prior sintering production is to increase the air volume of the sintering main exhaust fan and overcome the problem by adopting a redundant air volume mode, but the energy waste of the main exhaust fan is caused, and the phenomenon of excessive burning of the sintering ore is easily caused. For sintering production, the largest power utilization equipment of a main exhaust fan sintering plant takes a 550 square meter sintering machine as an example, the power of a motor of the main exhaust fan for sintering can reach 9600 kilowatts, the power consumption is extremely remarkable, and if the sintering air volume can be accurately controlled and the waste is reduced, great economic benefit can be generated.
Disclosure of Invention
In order to solve the problems, the invention provides a sintering machine air volume control method based on sound source characteristics, which is convenient for adjusting the air volume of a sintering machine.
In order to achieve the purpose, the invention relates to a sintering machine air volume control method based on sound source characteristics, wherein a workshop where a sintering machine is located is provided with a plurality of sound signal collectors, and an outlet of a main exhaust fan is provided with an air volume detector, the method comprises the following steps:
step 1: collecting sound data of a sintering workshop under a normal working condition and a fault state respectively; performing information source reconstruction on sound data of a sintering workshop to obtain a normal working information source reconstruction sample set and an air leakage fault information source reconstruction sample set; constructing a sintering machine air leakage rate evaluation model based on sound source characteristics by using the obtained normal working information source reconstruction sample set and the air leakage fault information source reconstruction sample set;
step 2: collecting sound data of a sintering workshop in real time, and calculating the air leakage rate index of the sintering machine on line according to the air leakage rate evaluation model of the sintering machine to obtain the air leakage rate index of the sintering machine based on the sound source characteristics;
and step 3: acquiring outlet air volume of the main exhaust fan in real time, and calculating according to the detected outlet air volume and theoretical air volume of the sintering machine to obtain outlet error air volume of the fan; calculating an air leakage amount compensation value of the sintering machine according to the air leakage rate index of the sintering machine based on the sound source characteristics, calculating the error air amount of the sintering machine according to the air leakage amount compensation value and the outlet error air amount of the fan, and adjusting the motor frequency of the main exhaust fan according to the error air amount of the sintering machine.
Further, the concrete method for constructing the sintering machine air leakage rate evaluation model based on the sound source characteristics in the step 1 is as follows:
step 1.1: processing the collected sound data of the sintering workshop to obtain a normal data set XnormalAnd air leakage fault data set Xfault；
Step 1.2: normal data set XnormalAnd air leakage fault data set XfaultMixing and carrying out independent component analysis to obtain an information source reconstruction model of the sound signal of the sintering machine production workshop;
step 1.3: normal data set X is reconstructed by using obtained source reconstruction modelnormalAnd air leakage fault data set XfaultRespectively carrying out information source reconstruction to obtain a normal working information source reconstruction sample set and an air leakage fault information source reconstruction sample set;
step 1.4: comparing the difference of the air leakage fault information source reconstruction sample set and the normal information source reconstruction sample set on different sound sources, selecting a plurality of independent sound sources with the largest difference according to a descending order, and using the independent sound sources as an air leakage fault characteristic sound source set F, wherein F is { F ═ F {1，…，fkIn which fiIs the ith characteristic sound source;
step 1.5: analyzing the intensity distribution of the normal information source reconstruction sample in the characteristic sound source, and calculating the normal information source reconstruction sample in the specific sound source f according to the artificially set significance degree alpha by adopting a statistical parameter estimation methodiUpper confidence limit of intensity distribution (UCL)iThe UCL isiAs the intensity threshold corresponding to the feature sound source, an intensity threshold set TH corresponding to the feature sound source is obtained, TH ═ TH1，…，thk}；
Step 1.6: statorDefining the contribution rate of each characteristic frequency to the air leakage rate, and recording as omega ═ omega1，…，ωk}; the air leakage rate contribution index at the characteristic frequency fi is defined as an expression ci＝G(si，thi，ωi) (ii) a Defining the air leakage rate index of the sintering machine asWherein s isiThe sound intensity of the current sample at the characteristic frequency f is taken as the sound intensity of the current sample; optimizing and calculating the contribution rate omega of each characteristic frequency to the air leakage fault as { omega ═ omega1，…，ωkAnd determining the optimal parameter of the air leakage rate index C of the sintering machine, and finally obtaining an air leakage rate evaluation model of the sintering machine based on the sound source characteristics.
Further, the method for obtaining the air leakage rate index of the sintering machine based on the sound source characteristics in the step 2 comprises the following steps:
step 2.1: sampling and denoising collected sound data of the sintering workshop to obtain an online sound sample;
step 2.2: carrying out sound source analysis on the online sample to obtain a sound intensity set S corresponding to the online fault characteristic sound sourcej，Sj＝{sj1，…，sjkJ is the serial number of the current sample, i is the serial number of the characteristic sound source, sjiThe sound intensity corresponding to the ith characteristic of the current sample;
step 2.3: calculating the characteristic frequency f of the online sampleiContribution index c of wind leakage faultji＝G(sji，thi，ωi) Accumulating the contribution indexes of the air leakage faults corresponding to each characteristic frequency to obtain the air leakage rate index of the sintering machine of the jth online sample
Further, the method for calculating and obtaining the outlet error air volume of the fan in the step 3 comprises the following steps:
step 3.1: setting theoretical air quantity F of sintering machine0And detecting the outlet air quantity F of the main exhaust fan1Using the formula Ferr＝F0-F1And calculating to obtain the outlet air quantity error F of the fanerr；
Step 3.2: calculating the air leakage rate R of the sintering machine by utilizing the air leakage rate evaluation model of the sintering machine and on-line sound data, and calculating the air volume compensation value F of the sintering machine according to the set strategy and the air leakage rate of the sintering machinem，Fm＝f(R)；
Step 3.3: through fan outlet air quantity error FerrAnd wind amount compensation value FmCalculating sintering air volume error FaThe calculation formula is Fa＝Ferr+Fm；
Step 3.4: according to the air volume error F of the sintering machineaAnd calculating the frequency set value P of the main exhaust fan motor according to the corresponding control strategyisetTo adjust the frequency of the motor of the cooling-air circulation fan to realize the control of the air quantity of the sintering machine, wherein Piset＝Gi(Fa)。
The invention relates to a sintering machine air volume control method, in particular to a sintering machine air leakage rate evaluation method taking sound signals of a sintering workshop as a detection means; by utilizing a blind source separation technology, a characteristic representation method of the air leakage rate of the sintering machine is constructed, and the characteristic representation method provides a basis for monitoring the air leakage rate of the sintering machine; a sintering machine air leakage rate evaluation standard for numerical calculation is defined by calculating an intensity threshold value on a characteristic sound source, and the criterion is the basis of automatic detection of the sintering machine air leakage rate. The whole-process control of the sintering exhaust system is realized by the air quantity detection feedback of the outlet of the main exhaust fan and the air leakage detection feedback of the sintering machine; the sintering air quantity is accurately controlled, the stability of sintering production is improved, and the quality of sintered ore is improved; the frequency of the motor of the main exhaust fan is accurately adjusted, so that redundant air quantity can be greatly reduced, and energy consumption of sintering production is reduced;
in order to achieve the aim, the air volume control system of the sintering machine based on the sound source characteristics comprises a sound signal collector arranged in a sintering workshop and an air volume detector arranged at the outlet of a main exhaust fan; the sound signal collector is in communication connection with the air leakage detection server; the air volume detector is in communication connection with the main exhaust fan controller; the air leakage detection server is in communication connection with the main exhaust fan controller; the main exhaust fan controller is electrically connected with the main exhaust fan frequency converter; the system controls the air volume of the sintering machine according to the air volume control method of the sintering machine based on the sound source characteristics.
According to the sintering machine air volume control system based on the sound source characteristics, the evaluation value of the air leakage volume is obtained by analyzing and calculating the audio signal collected in the production process, the evaluation value of the air leakage rate and the air volume detection value of the air outlet of the loop cooling air blower are used as feedback signals of the control system, the motor operation frequency of the loop cooling air blower is used as an adjustment quantity, and online closed-loop control of the air volume of the sintering machine is realized. The whole-process control of the sintering exhaust system is realized by the air quantity detection feedback of the outlet of the main exhaust fan and the air leakage detection feedback of the sintering machine; the sintering air quantity can be accurately controlled, the stability of sintering production is improved, and the quality of sintered ore is improved; through the accurate frequency of adjusting main air exhauster motor, can reduce redundant amount of wind in a large number, reduce sintering production energy consumption.
Drawings
FIG. 1 is a flow chart of the air leakage rate indicator evaluation and calculation of the present invention;
FIG. 2 is a flow chart of the sintering machine air leakage rate index off-line modeling based on the sound source characteristics of the present invention;
FIG. 3 is a flow chart of the online calculation of the air leakage rate index of the sintering machine based on the sound source characteristics according to the present invention;
FIG. 4 is a flow chart of a control method of the present invention;
FIG. 5 is a schematic diagram of the detection and hardware system of the present invention;
fig. 6 is a block diagram of the control system of the present invention.
Detailed Description
The invention is further described with reference to the accompanying drawings.
Example 1
Referring to fig. 1, the present embodiment provides a method for controlling the air volume of a sintering machine based on sound source characteristics,
the method comprises the following steps of:
step 1: collecting sound data of a sintering workshop under a normal working condition and a fault state respectively; performing information source reconstruction on sound data of a sintering workshop to obtain a normal working information source reconstruction sample set and an air leakage fault information source reconstruction sample set; constructing a sintering machine air leakage rate evaluation model based on sound source characteristics by using the obtained normal working information source reconstruction sample set and the air leakage fault information source reconstruction sample set;
step 2: collecting sound data of a sintering workshop in real time, and calculating the air leakage rate index of the sintering machine on line according to the air leakage rate evaluation model of the sintering machine to obtain the air leakage rate index of the sintering machine based on the sound source characteristics;
and step 3: acquiring outlet air volume of the main exhaust fan in real time, and calculating according to the detected outlet air volume and theoretical air volume of the sintering machine to obtain outlet error air volume of the fan; calculating an air leakage amount compensation value of the sintering machine according to the air leakage rate index of the sintering machine based on the sound source characteristics, calculating the error air amount of the sintering machine according to the air leakage amount compensation value and the outlet error air amount of the fan, and adjusting the motor frequency of the main exhaust fan according to the error air amount of the sintering machine.
In the embodiment, the sound signals of the sintering machine workshop are collected and analyzed, collected sound data are arranged into a sintering workshop sound historical sample library, a sample data set is analyzed and feature extracted, and a sintering machine air leakage index calculation model is established. Then, acquiring workshop sound data of sintering production in real time for sampling and analyzing to obtain an online production sample; then monitoring and calculating an online production sample through a sintering air leakage rate evaluation model to obtain a current air leakage rate index; and finally, feeding back the current air leakage rate index to the main exhaust fan controller to control the air quantity of the sintering machine.
Example 2
With reference to fig. 2 as a specific scheme of example 1, a specific method for constructing a sintering machine air leakage rate evaluation model based on sound source characteristics in step 1 is as follows:
step 1.1: processing the collected sound data of the sintering workshop to obtain a normal data set XnormalAnd wind leakage fault data setXfault；
Step 1.2: normal data set XnormalAnd air leakage fault data set XfaultMixing and carrying out independent component analysis to obtain an information source reconstruction model of the sound signal of the sintering machine production workshop; the specific method comprises the following steps: step 1.2.1: for the mixed normal data set XnormalAnd air leakage fault data set XfaultCarrying out zero equalization and whitening processing on the data to obtain a whitened sample Z;
step 1.2.2: based on an estimate of the number of live sound signal sources, an initialization vector W ═ W1，w2，…wkWhere k is the estimated number of signal sources, wiIs an initial value;
step 1.2.3: using formulasCalculating and updating w by iterative calculationiThen, using the formula W ← (WW)T)-0.5And W, calculating to obtain an information source reconstruction model.
Step 1.3: normal data set X is reconstructed by using obtained source reconstruction modelnormalAnd air leakage fault data set XfaultRespectively carrying out information source reconstruction to obtain a normal working information source reconstruction sample set and a leakage fault information source reconstruction sample set, wherein the specific method comprises the following steps:
step 1.3.1: filtering and denoising the collected sample, and carrying out zero-mean and whitening processing according to model parameters, and recording as z;
step 1.3.2: and performing source reconstruction on the sample set by using the separation matrix W of the source reconstruction model, and calculating a sample s reconstructed according to the signal source as W.z.
Step 1.4: reconstruction sample set s for source of comparative air leakage fault1Reconstructing sample set s from normal source2Selecting a plurality of independent sound sources with the largest difference according to the descending order of the difference on different sound sources, and taking the selected independent sound sources as a wind leakage fault characteristic sound source set F, wherein F is { F ═ F1，…，fkIn which fiIs the ith characteristic sound source;
step 1.5:analyzing the intensity distribution of the normal information source reconstruction sample in the characteristic sound source, and calculating the normal information source reconstruction sample in the specific sound source f according to the artificially set significance degree alpha by adopting a statistical parameter estimation methodiUpper confidence limit of intensity distribution (UCL)iThe UCL isiAs the intensity threshold corresponding to the feature sound source, an intensity threshold set TH corresponding to the feature sound source is obtained, TH ═ TH1，…，thk}；
Step 1.6: defining the contribution rate of each characteristic frequency to the air leakage rate, and recording as omega ═ omega { (ω })1，…，ωk}; characteristic frequency fiThe wind leakage rate contribution index of (A) is defined as an expression ci＝G(si，thi，ωi) (ii) a Defining the air leakage rate index of the sintering machine asWherein s isiThe sound intensity of the current sample at the characteristic frequency f is taken as the sound intensity of the current sample; optimizing and calculating the contribution rate omega of each characteristic frequency to the air leakage fault as { omega ═ omega1，…，ωkAnd determining the optimal parameter of the air leakage rate index C of the sintering machine, and finally obtaining an air leakage rate evaluation model of the sintering machine based on the sound source characteristics.
Example 3
With reference to fig. 3, as a specific embodiment of example 1, the method for obtaining the air leakage rate index of the sintering machine based on the sound source characteristics in step 2 includes:
step 2.1: sampling and denoising collected sound data of the sintering workshop to obtain an online sound sample;
step 2.2: carrying out sound source analysis on the online sample to obtain a sound intensity set S corresponding to the online fault characteristic sound sourcej，Sj＝{sj1，…，sjkJ is the serial number of the current sample, i is the serial number of the characteristic sound source, sjiThe sound intensity corresponding to the ith characteristic of the current sample;
step 2.3: calculating the characteristic frequency f of the online sampleiContribution index of wind leakage faultAccumulating the contribution indexes of the air leakage faults corresponding to each characteristic frequency to obtain the air leakage rate index of the sintering machine of the jth online sample
Example 4
As a specific scheme of embodiment 1, the method for calculating and obtaining the outlet error air volume of the fan in step 3 includes:
step 3.1: setting theoretical air quantity F of sintering machine0And detecting the outlet air quantity F of the main exhaust fan1Using the formula Ferr＝F0-F1And calculating to obtain the outlet air quantity error F of the fanerr；
Step 3.2: calculating the air leakage rate C of the sintering machine by utilizing the air leakage rate evaluation model of the sintering machine and the online sound data, and calculating the air volume compensation value F of the sintering machine according to the set strategy and the air leakage rate of the sintering machinem，Fm＝kC,C＝cjWherein k is an air leakage compensation coefficient and represents an air volume compensation value corresponding to a unit air leakage rate;
step 3.3: through fan outlet air quantity error FerrAnd wind amount compensation value FmCalculating sintering air volume error FaThe calculation formula is Fa＝Ferr+Fm；
Step 3.4: according to the air volume error F of the sintering machineaAnd calculating the frequency set value P of the main exhaust fan motor according to the corresponding control strategyisetTo adjust the frequency of the motor of the cooling-air circulation fan to realize the control of the air quantity of the sintering machine, wherein Piset＝Gi(Fa) In particular, the amount of the surfactant is,wherein, FnRated air quantity for fan FnFor theoretically calculating the required air quantity, FaTo synthesize the air volume error, vnThe rated frequency of the power supply is shown, and xi is the material ventilation coefficient.
The invention relates to a sintering machine air volume control method, which analyzes and obtains a sintering machine trolley sound signal for filtering fan interference by detecting the working sound of a sintering machine trolley and the working sound of an air cooler as a detection signal and an interference signal, and analyzes and calculates the air leakage index of a sintering machine by using the signal. Two groups of signals of the air leakage index of the sintering machine and the air quantity detection of the outlet of the ring air cooler are used as system feedback, and the motor running frequency of the ring air cooler is used as an adjusting quantity, so that the online closed-loop control of the air quantity of the sintering machine is realized. Meanwhile, the invention constructs a characteristic representation method of the air leakage rate of the sintering machine by utilizing a blind source separation technology, and the characteristic representation method provides a basis for monitoring the air leakage rate of the sintering machine; defining a sintering machine air leakage rate evaluation standard for numerical calculation by calculating an intensity threshold value on a characteristic sound source, wherein the criterion is the basis of automatic detection of the sintering machine air leakage rate;
example 5
With reference to fig. 5 and fig. 6, the embodiment provides a sintering machine air volume control system based on sound source characteristics, which includes a sound signal collector disposed in a sintering plant, and an air volume detector disposed at an outlet of a main exhaust fan; the sound signal collector is in communication connection with the air leakage detection server; the air volume detector is in communication connection with the main exhaust fan controller; the air leakage detection server is in communication connection with the main exhaust fan controller; the main exhaust fan controller is electrically connected with the main exhaust fan frequency converter; the system controls the air volume of the sintering machine according to the air volume control method of the sintering machine based on the sound source characteristics.
In this embodiment, a plurality of sound signal collectors are installed in a workshop where the sintering machine is located, and the sound signal collectors serve as field sensors to provide detection signal sources for online fault diagnosis. And analyzing the historical data of the workshop sound signals through the air leakage detection server to construct a sintering machine air leakage index calculation model. And by analyzing the online sound data and utilizing the air leakage index calculation model, the evaluation and feedback of the sintering air leakage condition are realized. The air quantity detector is arranged at the outlet of the main exhaust fan, so that direct detection is provided for sintering air quantity. The main exhaust fan controller and the main exhaust fan frequency converter form a control unit and an execution unit of a control system, the air quantity of the fan and the air leakage rate of the sintering machine are used as feedback signals to form a sintering air quantity control system together, and the fan frequency converter is adjusted through the controller, so that the rotating speed of the motor is changed, and the effect of air quantity adjustment is achieved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are also included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope defined by the claims.
Claims (5)
1. A sintering machine air volume control method based on sound source characteristics is characterized in that a plurality of sound signal collectors are arranged in a workshop where a sintering machine is located, and an air volume detector is arranged at an outlet of a main exhaust fan, and the method comprises the following steps:
step 1: collecting sound data of a sintering workshop under a normal working condition and a fault state respectively; performing information source reconstruction on sound data of a sintering workshop to obtain a normal working information source reconstruction sample set and an air leakage fault information source reconstruction sample set; constructing a sintering machine air leakage rate evaluation model based on sound source characteristics by using the obtained normal working information source reconstruction sample set and the air leakage fault information source reconstruction sample set;
step 2: collecting sound data of a sintering workshop in real time, and calculating the air leakage rate index of the sintering machine on line according to the air leakage rate evaluation model of the sintering machine to obtain the air leakage rate index of the sintering machine based on the sound source characteristics;
and step 3: acquiring outlet air volume of the main exhaust fan in real time, and calculating according to the detected outlet air volume and theoretical air volume of the sintering machine to obtain outlet error air volume of the fan; calculating an air leakage amount compensation value of the sintering machine according to the air leakage rate index of the sintering machine based on the sound source characteristics, calculating the error air amount of the sintering machine according to the air leakage amount compensation value and the outlet error air amount of the fan, and adjusting the motor frequency of the main exhaust fan according to the error air amount of the sintering machine.
2. The method for controlling the air volume of the sintering machine based on the sound source characteristics according to claim 1, wherein the concrete method for constructing the model for evaluating the air leakage rate of the sintering machine based on the sound source characteristics in the step 1 is as follows:
step 1.1: processing the collected sound data of the sintering workshop to obtain a normal data setAnd wind leakage fault data set；
Step 1.2: normal data setAnd wind leakage fault data setMixing and carrying out independent component analysis to obtain an information source reconstruction model of the sound signal of the sintering machine production workshop;
step 1.3: using the obtained source reconstruction model to correct a normal data setAnd wind leakage fault data setRespectively carrying out information source reconstruction to obtain a normal information source reconstruction sample set and an air leakage fault information source reconstruction sample set;
step 1.4: comparing the difference between the air leakage fault information source reconstruction sample set and the normal information source reconstruction sample set on different sound sources, selecting a plurality of independent sound sources with the largest difference according to a descending order, and using the independent sound sources as the air leakage fault characteristic sound source set，Wherein, in the step (A),is the ith characteristic sound source;
step 1.5: analyzing the intensity distribution of the normal signal source reconstruction sample in the characteristic sound source, and calculating the intensity distribution confidence upper limit of the normal signal source reconstruction sample in the specific sound source according to the artificially set significance degree alpha by adopting a statistical parameter estimation methodWill beObtaining an intensity threshold set corresponding to the characteristic sound source as an intensity threshold corresponding to the characteristic sound source， ；
Step 1.6: defining the contribution rate of each characteristic frequency to the air leakage rate, and recording the contribution rate as(ii) a Characteristic frequencyThe wind leakage rate contribution index is defined as an expression(ii) a Defining the air leakage rate index of the sintering machine asWhereinAt the eigenfrequency for the current sampleRate of changeThe sound intensity of (d); optimizing and calculating contribution rate of each characteristic frequency to air leakage faultAnd determining the optimal parameters of the air leakage rate index C of the sintering machine, and finally obtaining a sintering machine air leakage rate evaluation model based on the sound source characteristics.
3. The method for controlling the air volume of the sintering machine based on the sound source characteristics according to claim 2, wherein the method for obtaining the air leakage rate index of the sintering machine based on the sound source characteristics in the step 2 comprises the following steps:
step 2.1: sampling and denoising collected sound data of the sintering workshop to obtain an online sample;
step 2.2: carrying out sound source analysis on the online sample to obtain a sound intensity set corresponding to the online fault characteristic sound source，Wherein j is the serial number of the current sample, i is the serial number of the characteristic sound source,the sound intensity corresponding to the ith characteristic of the current sample;
step 2.3: calculating the characteristic frequency of the online sampleContribution index of wind leakage faultAccumulating the contribution indexes of the wind leakage fault corresponding to each characteristic frequency to obtain the jth online sampleIndex of air leakage rate of sintering machine。
4. The method for controlling the air volume of the sintering machine based on the sound source characteristics as claimed in claim 1, wherein the method for calculating the outlet error air volume of the fan in the step 3 comprises the following steps:
step 3.1: setting the theoretical air quantity of sintering machineAnd detecting the outlet air quantity of the main exhaust fanUsing the formulaAnd calculating to obtain the outlet air quantity error of the fan；
Step 3.2: calculating the air leakage rate R of the sintering machine by utilizing the air leakage rate evaluation model of the sintering machine and the online sound data, and calculating the air volume compensation value of the sintering machine according to the set strategy and the air leakage rate of the sintering machine，；
Step 3.3: error of air quantity passing through outlet of fanAnd wind amount compensation valueCalculating sintering air volume errorThe calculation formula is；
Step 3.4: according to the air volume error of the sintering machineAnd calculating the frequency set value of the main exhaust fan motor according to the corresponding control strategyTo adjust the frequency of the motor of the cooling-air circulation fan to realize the control of the air quantity of the sintering machine, wherein 。
5. A sintering machine air volume control system based on sound source characteristics comprises a sound signal collector arranged in a sintering workshop and an air volume detector arranged at an outlet of a main exhaust fan; the sound signal collector is in communication connection with the air leakage detection server; the air volume detector is in communication connection with the main exhaust fan controller; the air leakage detection server is in communication connection with the main exhaust fan controller; the main exhaust fan controller is electrically connected with the main exhaust fan frequency converter; the system is characterized in that the system controls the air volume of the sintering machine according to the method for controlling the air volume of the sintering machine based on the sound source characteristics as claimed in any one of claims 1 to 4.
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