TWI706409B - System for identifying air leakage type of sintering trolleys - Google Patents

Abstract

A system for identifying air leakage type of sintering trolleys includes plural sintering trolleys, at least one tag, a reader, plural acoustic pressure microphones, and a processing unit. The position information of the sintering trolleys is acquired by the tag and the reader. The acoustic pressure microphones are used to produce acoustic pressure signals. The processing unit is configured to obtain the acoustic pressure signals corresponding to each of the sintering trolleys and to perform sound feature extraction so as to obtain the air leakage type of each of the sintering trolleys according to the Mel-Frequency Cepstral Coefficient (MFCC). The corresponding maintenance work is performed on the sintering trolley according to the corresponding air leakage type.

Description

Air leakage pattern identification system of sintering trolley

The embodiment of the disclosure relates to an identification system, and particularly relates to an identification system for the air leakage pattern of a sintered trolley.

The sintering plant is used to produce sintered ore as the raw material for blast furnace ironmaking. It mixes various raw materials in specific proportions, mixes them uniformly and granulates them, and then sinters them in a sintering machine containing multiple sintering carts. During the sintering process, the detection index of the sintering condition is air permeability, and the air permeability is positively correlated. Therefore, when air leakage occurs in the sintering machine, the ventilation will be reduced, which will reduce the output of sintered ore.

In order to prevent the air leakage of the sintering machine from affecting the output of the sinter, finding the air leakage area of the sintering machine to reduce the air leakage rate of the sintering machine is the top priority of the steel industry in order to save energy and increase output. Generally speaking, the air leakage of the sintering trolley accounts for about half of the air leakage rate of the sintering machine. It is known that the detection of air leakage from the sintering trolley is carried out by manual methods, which allows the personnel to use eyesight and hearing to make judgments during the operation of the sintering machine. However, the aforementioned conventional methods must expose personnel for a long time In a high dust and high noise environment, and because this method depends on the detection ability of the personnel, the uncertainty of the analysis results will increase.

In view of this, it is urgent to provide a sintering trolley air leakage pattern identification system, which can detect the air leakage pattern of the sintering trolley in a systematic manner, which can not only reduce human judgment errors, but also efficiently select sintering trolleys with air leakage. The corresponding maintenance work.

The purpose of this disclosure is to provide a sintering trolley air leakage pattern identification system including a plurality of sintering trolleys, at least one tag, a reader, a plurality of sound pressure microphones, and a processing unit. At least one label is arranged on one of the sintering carts. The reader is used for identifying at least one tag to obtain location information. The sound pressure microphones are used to obtain sound pressure signals. The processing unit is used to identify the sound pressure signal corresponding to each sintering trolley according to the position information and extract the sound characteristics of the sound pressure signal according to the Mel-Frequency Cepstral Coefficient (MFCC) to identify each sinter The type of air leakage corresponding to the trolley. The sintering trolley air leakage pattern identification system performs corresponding maintenance operations on the sintering trolley according to the air leakage pattern.

In some embodiments, the above-mentioned processing unit identifies the sound pressure signal corresponding to each sintering trolley based on the position information, the speed and the width of the sintering trolley.

In some embodiments, the above-mentioned processing unit is used to The sound pressure signal undergoes pre-emphasis processing, so that the sound pressure signal is subjected to high-frequency filtering to obtain the sound pressure signal after pre-emphasis processing.

In some embodiments, the above-mentioned processing unit is used to perform Fast Fourier Transform (FFT) on the pre-emphasized sound pressure signal, so that the pre-emphasized sound pressure signal is converted from the time domain to the frequency domain. In order to obtain fast Fourier signal.

In some embodiments, the above-mentioned processing unit is configured to use a triangular band-pass filter to smooth the fast Fourier signal to obtain a triangular band-pass filter signal.

In some embodiments, the above-mentioned processing unit is used to multiply the square of the fast Fourier signal by the triangular band-pass filter signal and then take the sum and then take the logarithm to obtain the logarithmic signal after logarithmic conversion.

In some embodiments, the aforementioned processing unit is used to perform Discrete Cosine Transform (DCT) on the logarithmic signal to obtain a logarithmic energy feature value and a plurality of cepstrum feature values.

In some embodiments, the above-mentioned processing unit compares the previous four cepstrum feature values with the previous four cepstrum feature values of the sintering trolley without air leakage to filter out the air leakage pattern corresponding to each sintering trolley.

In some embodiments, each sintering trolley Corresponding air leakage patterns include: side plate gap wear, side plate rupture, sealing rod damage, small furnace bar damage and other damage.

In some embodiments, the above-mentioned sintering trolley air leakage pattern identification system further includes at least one anemometer to obtain the wind speed signal corresponding to each sintering trolley, wherein the processing unit uses the wind speed signal and the cepstrum characteristic value to identify the first four The type of air leakage is damage to the small furnace bar.

In some embodiments, the above-mentioned sintering trolley air leakage pattern identification system further includes a man-machine interface for presenting the air leakage pattern corresponding to each sintering trolley.

In order to make the above-mentioned features and advantages of the present disclosure more obvious and understandable, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

100‧‧‧Sintering trolley air leakage pattern identification system

110, 110a-110e, 210a-210e‧‧‧Sintering trolley

112‧‧‧Noodles

120, 120a-120c, 220a, 220b‧‧‧label

130, 130a-130c, 230‧‧‧Reader

140‧‧‧Sound pressure microphone

150‧‧‧Processing unit

160‧‧‧Sky Bridge

170‧‧‧Anemometer

V‧‧‧Speed

W‧‧‧Width

S1100-S1600‧‧‧Step

From the following detailed description in conjunction with the accompanying drawings, a better understanding of the aspect of the disclosure can be obtained. It should be noted that, according to industry standard practices, each feature is not drawn to scale. In fact, in order to make the discussion clearer, the size of each feature can be increased or decreased arbitrarily.

[Fig. 1] is a schematic diagram of an air leakage pattern identification system for a sintered trolley according to an embodiment of the disclosure.

[Fig. 2] is a schematic diagram of positioning the sintering trolley in the sintering trolley air leakage pattern identification system according to the embodiment of the present disclosure.

[Fig. 3] is a schematic diagram showing the configuration of a sound pressure microphone according to an embodiment of the disclosure.

[Fig. 4] is a flowchart showing the sound feature extraction of the sound pressure signal based on the Mel cepstrum coefficient according to the embodiment of the disclosure.

[Fig. 5] is a schematic diagram showing the difference of the cepstrum characteristic values of different air leakage types according to the embodiments of the present disclosure.

[Fig. 6] is a schematic diagram showing the configuration of a sound pressure microphone and an anemometer according to an embodiment of the disclosure.

The embodiments of the present invention are discussed in detail below. However, it can be understood that the embodiments provide many applicable concepts, which can be implemented in various specific contents. The discussed and disclosed embodiments are for illustration only, and are not intended to limit the scope of the present invention.

FIG. 1 is a schematic diagram of a sintering trolley air leakage pattern identification system 100 according to an embodiment of the disclosure. The sintering trolley air leakage pattern identification system 100 is applied to detect the air leakage pattern of the sintering trolley. The sintering trolley air leakage pattern identification system 100 includes a plurality of sintering trolleys 110, a label 120 arranged on the sintering trolley 110, and a label 120 for identifying the label 120. The reader 130, the sound pressure microphone 140 and the processing unit 150.

In the embodiment of the present disclosure, the tag 120 can be selectively placed on one or more sintering carts 110, and the tag 120 can be identified by the reader 130. In the embodiment of the present disclosure, The tag 120 may be a radio frequency identification tag (Radio Frequency Identification Tag, RFID Tag), and the reader 130 may be a radio frequency identification reader (RFID reader). The radio frequency identification tag includes a housing and a protective element surrounding the housing. The shell material contains Teflon, the purpose of which is to reduce the heat transfer effect by Teflon, and the protective element can prevent the radio frequency identification tag from being directly hit, thereby reducing the probability of failure of the positioning function. In other embodiments of the present disclosure, the reader 130 can also be an image capturing device, and the tag 120 can also be a Quick Response Code (Quick Response Code) or other recognizable patterns.

In the embodiment shown in FIG. 1, the label 120a, the label 120b, and the label 120c are respectively arranged on the sintering trolley 110a, the sintering trolley 110c, and the sintering trolley 110d. However, the arrangement of FIG. 1 is only an example, and the other In an embodiment, labels 120 can be provided on any number of sintering carts 110. In addition, in the embodiment shown in FIG. 1, three readers (ie, reader 130a, reader 130b, and reader 130c) are provided, but in other embodiments of the present disclosure, they can also be provided More or fewer readers 130.

When the tag 120 enters the reading range of the reader 130, the reader 130 can send a signal to the processing unit 150. Since the position of the reader 130 is known, when the processing unit 150 receives the signal sent by the reader 130, the position information of the corresponding sintering cart 110 can be obtained. In the disclosed embodiment, the processing unit 150 is, for example, a computer system, a central processing unit, a microprocessor, a micro Controllers, digital signal processors, baseband processors, integrated circuits for special applications, etc.

The sound pressure microphone 140 is used to continuously obtain sound pressure signals. The sound pressure signals are transmitted to the processing unit 150, and the processing unit 150 must obtain the sound pressure signals corresponding to each sintering trolley. In the disclosed embodiment, the processing unit 150 can obtain the sound pressure signal corresponding to the sintering trolley 110 according to the above-mentioned position information. For example, if the processing unit 150 calculates based on the position information of the sintering trolley 110c that the sintering trolley 110c will pass through the sound pressure microphone 140 between T1 second and T2 second, the processing unit 150 may extract the first sound pressure signal from the sound pressure signal. The portion from T1 second to T2 second is used as the sound pressure signal corresponding to the sintering trolley 110c. In addition, although there are no labels on the sintering carts 110b and 110e, the sintering carts air leakage pattern identification system 100 can use the processing unit 150 to use the position information provided by the tags 120 and the reader 130, the moving speed of the sintering carts 110, and the sintering carts. The width of 110 is used to locate each sintering trolley 110 and obtain the sound pressure signal corresponding to each sintering trolley.

For example, please refer to FIG. 2, which is a schematic diagram of positioning the sintering trolley in the sintering trolley air leakage pattern identification system according to the embodiment of the disclosure. Assuming that the sintering cart 210a to the sintering cart 210e move to the right according to the moving speed V, the width of the sintering cart 210a to 210e is W, and the label 220a and the label 220b are set on the sintering cart 210b and the sintering cart 210e, respectively. Assuming that the label 220a is set at the front end (right side) of the sintering trolley 210b, when the label 220a is close to When reading the reader 230, the reader 230 will send a signal to the processing unit 150, so that the processing unit 150 can know the current position of the sintering trolley 210b. Assuming that the processing unit 150 obtains the signal sent by the reader 230 at T1 second, it can be judged that the tail end of the sintering trolley 210b will pass through the reader 230 and the sintering trolley 210a will pass at (T1+W/V) seconds. The front end will be close to the reader 230. In addition, it can be judged that the tail end of the sintering cart 210a will pass the reader 230 at (T1+2*W/V) seconds. According to a similar method, the processing unit 150 can calculate when each sintering trolley will pass the sound pressure microphone, thereby obtaining the sound pressure signal corresponding to each sintering trolley.

The processing unit 150 can obtain a plurality of sound pressure signals corresponding to each sintering trolley 110 according to the position information of the sintering trolley 110 obtained above. The greater the sound pressure signal, the greater the probability of air leakage from the sintering trolley 110. However, in actual situations, the air leakage of the sintering trolley may occur in different parts of the sintering trolley, that is, the sintering trolley will correspond to different air leakage patterns, such as side plate gap wear, side plate cracking, and sealing rod damage. , Small stove bar is damaged, etc. The sintering trolley air leakage pattern identification system 100 proposed in this disclosure is used to extract the sound characteristics of the sound pressure signal corresponding to each sintering trolley to further identify the air leakage pattern corresponding to each sintering trolley, so as to facilitate maintenance personnel. More accurate target judgment is to find out the air leakage part for corresponding maintenance work.

In the embodiment of this disclosure, the sintering trolley has an air leakage type The state recognition system 100 will first obtain the sound characteristics of the normal (no air leakage) sintered trolley and the sound characteristics of the sintered trolley with different air leakage types to compare the sound characteristics of the sintered trolleys with various air leakage types and the sound of the normal sintered trolley What are the differences in characteristics. In this way, the sintering trolley air leakage pattern identification system 100 can identify the corresponding air leakage pattern for each sintering trolley during the operation of the sintering machine.

3 is a schematic diagram showing the configuration of the sound pressure microphone 140 according to the embodiment of the disclosure. The sound pressure microphone 140 is respectively arranged on the upper, middle and lower sides of the overpass 160 near the material surface 112 of the sintering trolley 110. For the present disclosure, the sound pressure signal obtained by the sound pressure microphone 140 closer to the air leakage part of the sintering trolley 110 is greater. For example, compared with a normal sintered trolley whose air leakage type is the gap between the side plates of the trolley, the sound characteristics of the sound pressure microphones 140 located above the two sides of the flyover 160 will be significantly different. For example, a sintered trolley with a broken side plate of the trolley has a significantly different sound characteristic than a normal sintered trolley. The sound characteristics of the Chinese sound pressure microphones 140 located on both sides of the bridge 160 are significantly different. For example, compared with a normal sintering trolley whose air leakage type is a damaged sealing rod (the sealing rod is stuck), the sound characteristics of the sound pressure microphones 140 located below the two sides of the bridge 160 will be more obvious. s difference. The above examples are only used to illustrate the identification principle of this disclosure, but this disclosure is not limited to this.

The following will further explain how the present disclosure uses sound feature extraction and comparison to identify the air leakage pattern corresponding to each sintering trolley. According to the speech recognition technology information, Mel-Frequency Cepstral Coefficient (MFCC) is sufficient to describe speech characteristics. In the disclosed embodiment, the processing unit 150 of the sintering trolley air leakage pattern identification system 100 performs sound feature extraction on the sound pressure signal corresponding to each sintering trolley 110 according to the Mel cepstrum coefficient to identify each sintering trolley. The air leakage patterns corresponding to the trolley 110 respectively.

4 is a flowchart of sound feature extraction of sound pressure signals based on Mel cepstral coefficients according to an embodiment of the disclosure. In step S1100, the processing unit 150 performs pre-emphasis processing on the sound pressure signal, so that the sound pressure signal is subjected to high-frequency filtering to obtain the sound pressure signal after the pre-emphasis processing. The pre-emphasis processing is to compensate for the attenuation of the sound pressure signal, so it is compensated through the pre-emphasis processing, and the sound pressure signal is passed through a high-pass filter to compensate for the attenuation of the high-frequency signal. In the embodiment of the present disclosure, the calculation formula of the pre-emphasis processing is y ( n ) = x ( n ) -a [ x ( n -1)], where x ( n ) is the original sound pressure signal, a for example The coefficient is 0.9, and y ( n ) is the sound pressure signal after pre-emphasis processing.

In step S1200, after the sound processing unit 150 for pre-emphasis of the signal processing pressure y (n) for fast Fourier transform (Fast Fourier Transform, FFT), such that the pre-emphasized sound signal after the pressure treatment of y (n) Convert from the time domain to the frequency domain to obtain the fast Fourier signal D ( k ). This is because the change of the sound pressure signal in the time domain is usually difficult to observe the characteristics of the signal, so it is converted to the energy distribution in the frequency domain for observation.

In step S1300, the processing unit 150 is used for smoothing the fast Fourier signal D ( k ) by using the designed triangular bandpass filter to obtain the triangular bandpass filter signal B _m ( k ). The main purpose of using a triangular bandpass filter is to smooth the frequency spectrum, make the original signal resonance peak more obvious, and reduce the amount of data. The calculation formula of the triangular bandpass filter is as follows:

先求出最大梅爾刻度(Mel scale)f _max ，在梅爾刻度(f _mel )範圍內，計算兩個相鄰三角帶通濾波器的中心頻率間距(△ _mel )，如式(1)與式(2)所示。其中，f _m 為第m個頻帶中心頻率，f為原始頻域數據的頻率，K為全部的頻帶數目，B _m (k)為第m個頻帶三角濾波器的幅值，介於0~1，f _m-1與f _m+1為相鄰前後兩個頻帶的中心頻率，M為全部頻帶的數目，在本揭露的實施例中取 M=K=20，如式(3)所示。

First find the maximum Mel scale (Mel scale) f _max , within the range of Mel scale ( f _mel ), calculate the center frequency spacing (△ _mel ) of two adjacent triangular bandpass filters, as shown in formula (1) and As shown in formula (2). Among them, f _m is the center frequency of the m-th frequency band, f is the frequency of the original frequency domain data, K is the number of all frequency bands, and B _m ( k ) is the amplitude of the triangular filter of the m-th frequency band, ranging from 0 to 1 , F _{m -1} and f _{m +1} are the center frequencies of two adjacent frequency bands before and after, and M is the number of all frequency bands. In the disclosed embodiment, M=K=20, as shown in formula (3).

In step S1400, the processing unit 150 is used to multiply the square of the fast Fourier signal D ( k ) and the triangular bandpass filter signal B _m ( k ), take the sum and then take the logarithm to obtain the logarithm after logarithm conversion Signal Y ( m ). The formula for the above steps is as follows:

其中，

(n)為離散餘弦轉換後所得之係數，即梅爾倒頻譜係數，如式(3)所示。在本揭露的實施例中取n=1,2,...,25，M=20，則可於步驟S1600得到1個對數能量特徵值以及一組具25個倒頻譜特徵值。 In step S1500, the processing unit 150 is used to perform Discrete Cosine Transform (DCT) on the logarithmic signal Y ( m ) to obtain a logarithmic energy feature value and multiple cepstrum feature values, that is, step S1600. The formula for the above steps is as follows:

among them,

( n ) is the coefficient obtained after the discrete cosine transformation, that is, the Mel cepstrum coefficient, as shown in equation (3). In the embodiment of the present disclosure, if n=1,2,...,25, M=20, one logarithmic energy feature value and a group of 25 cepstrum feature values can be obtained in step S1600.

In the disclosed embodiment, the processing unit 150 of the sintering trolley air leakage pattern identification system 100 compares the cepstral characteristic value of the normal (no air leakage) sintering trolley with the cepstral characteristic value of the sintering trolley with different air leakage patterns. To record the difference between the cepstral characteristic value of the sintering trolley of various air leakage types and the normal cepstral characteristic value of the sintering trolley, the comparison result shows that the first four of the 25 cepstrum characteristic values show a significant difference. Figure 5 shows the basis The difference schematic diagram of the cepstrum characteristic values of different air leakage types in the embodiments of the present disclosure. It can be seen from Fig. 5 that the positive and negative arrangement of the first four cepstral characteristic values of the sintering trolley of different air leakage types are significantly different. For example, as shown in Figure 5, the first four cepstral characteristic values of the normal (no air leakage or severe air leakage) sintering trolley are all positive, and the first four cepstral characteristic values of the sintering trolley with abraded side plate gap The positive and negative values of the sintered trolley are arranged in sequence as negative, negative, positive and positive. The positive and negative values of the first four cepstral characteristic values of the sintered trolley with broken side plates are arranged in order of negative, negative, positive and negative. The positive and negative values of the values are arranged in order of positive and negative, and the positive and negative values of the first four cepstral characteristic values of the sintering trolley with damaged small furnace bars are arranged in order of positive and negative. Therefore, the processing unit 150 of the sintering trolley air leakage pattern identification system 100 can thereby filter out the air leakage pattern corresponding to each sintering trolley. In addition, if the sound pressure signal of a sintering trolley is compared, it is found that the positive and negative values of the first four cepstral characteristic values are all positive, but it is determined that there is still air leakage (if the sound pressure signal is large, there is a possibility of air leakage) , The air leakage type of the sintering trolley is regarded as other damage.

In some embodiments of the present disclosure, the air leakage pattern identification system 100 of the sintering trolley may further include an anemometer 170. FIG. 6 is a schematic diagram showing the configuration of the sound pressure microphone 140 and the anemometer 170 according to the embodiment of the disclosure. In the disclosed embodiment, the anemometer is a Thermo-Anemometer, and a circular sleeve is used to protect the sensor of the anemometer. The anemometer 170 is used to obtain the wind speed signal corresponding to each sintering trolley 110. The actual measurement found that the air leakage pattern For the sintering trolley 110 with damaged small grate bars, the real-time wind speed measured on the east and west sides of the material surface 112 will be greater than that of the normal sintering trolley. Therefore, the processing unit 150 of the sintering trolley air leakage pattern identification system 100 uses In addition to the first four of the cepstrum eigenvalues to identify whether the air leakage pattern is damaged by the small furnace bar, the wind speed signal can also be used to identify the auxiliary.

In the disclosed embodiment, the sintering trolley air leakage pattern identification system 100 further includes a man-machine interface for presenting the air leakage pattern corresponding to each sintering trolley. Specifically, the on-site operators and/or maintenance personnel can use the information displayed on the human-machine interface of the sintering trolley air leakage pattern identification system 100 to know the air leakage pattern of each sintering trolley in real time, so as to perform the sintering trolley The corresponding maintenance operations.

In summary, this disclosure proposes a sintering trolley air leakage pattern identification system, which has the function of providing the air leakage pattern corresponding to each sintering trolley, which can effectively assist maintenance personnel to perform targeted maintenance actions and can instantly improve the sintering trolley The problem of air leakage reduces the overall power consumption, increases the stability of the sintering process, and can assist operation inspections and maintenance and repair judgments, so as to improve the air leakage of the sintering trolley more efficiently through maintenance.

The features of several embodiments are summarized above, so those who are familiar with the art can better understand the aspect of the disclosure. Those who are familiar with this art should understand that they can easily use this disclosure as a basis to design or modify other processes and structures, thereby realizing and introducing the techniques described here. These embodiments have the same goals and/or achieve the same advantages. Those who are familiar with this art should also understand that these equivalent constructions do not depart from the spirit and scope of this disclosure, and they can make various changes, substitutions and alterations without departing from the spirit and scope of this disclosure.

S1100-S1600‧‧‧Step

Claims (5)

A sintering trolley air leakage pattern identification system, comprising: a plurality of sintering trolleys; at least one tag arranged on one of the sintering trolleys, wherein the tag is a radio frequency identification tag; and a reader for identifying the at least one A tag is used to obtain position information corresponding to the sintered carts, wherein the reader is a radio frequency identification reader; a plurality of sound pressure microphones are used to obtain a plurality of sound pressure signals; and a processing unit, wherein When the at least one tag enters the reading range of the reader, the reader sends a signal to the processing unit, wherein the processing unit receives the signal sent by the reader to obtain the corresponding sintering carts Location information, and the processing unit is used to identify the sound pressure signals corresponding to each of the sintered trolleys based on the location information and use the Mel cepstrum coefficients (Mel- Frequency Cepstral Coefficient, MFCC) is used to extract sound features of the sound pressure signals to identify an air leakage pattern corresponding to each of the sintered trolleys; wherein, the air leakage pattern identification system of the sintered trolley performs identification according to the air leakage pattern Maintaining the sintering trolleys to improve the air leakage problem of the sintering trolleys; The processing unit is used to perform pre-emphasis processing on the sound pressure signals, so that the sound pressure signals undergo high-frequency filtering to obtain the sound pressure signals after pre-emphasis processing; wherein the processing unit It is used to perform Fast Fourier Transform (FFT) on the pre-emphasized sound pressure signals, so that the pre-emphasized sound pressure signals are converted from time domain to frequency domain to obtain a fast Fourier transform. Signal; wherein the processing unit is used to use a triangular band-pass filter to smooth the fast Fourier signal to obtain a triangular band-pass filter signal; wherein the processing unit is used to square the fast Fourier signal and the The triangular bandpass filter signal is multiplied and then the sum is taken and then the logarithm is taken to obtain a logarithmic signal after logarithmic conversion; wherein the processing unit is used to perform Discrete Cosine Transform (DCT) on the logarithmic signal to obtain A logarithmic energy feature value and a plurality of cepstral feature values; wherein the processing unit compares the previous four cepstrum feature values with the previous four cepstrum feature values of the sintered trolley without air leakage to filter The air leakage pattern corresponding to each of the sintering trolleys is obtained. Such as the sintering trolley air leakage pattern identification system described in item 1 of the scope of patent application, wherein the processing unit is based on the position Set information, a speed and a width of the sintering trolleys to identify the sound pressure signals corresponding to each of the sintering trolleys. The air leakage pattern identification system of the sintering trolley described in item 1 of the scope of patent application, wherein the air leakage pattern corresponding to each of the sintering trolleys includes: side plate gap wear, side plate cracking, sealing rod damage, small furnace bar Damage and other damage. For example, the sintering trolley air leakage pattern identification system described in item 3 of the scope of patent application further includes: at least one anemometer to obtain a wind speed signal corresponding to each of the sintering trolleys; wherein the processing unit uses the wind speed signal and The first four of the cepstrum characteristic values are used to identify the air leakage pattern as the damage of the small grate bar. The air leakage pattern identification system of the sintering trolley described in item 1 of the scope of patent application further includes: a man-machine interface for presenting the air leakage pattern corresponding to each of the sintering trolleys.

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