CN117740058A - Boiler wind powder detection method, device and storage medium - Google Patents
Boiler wind powder detection method, device and storage medium Download PDFInfo
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Abstract
The invention discloses a method and a device for detecting boiler wind powder and a storage medium. The method comprises the following steps: acquiring first detection data and acoustic detection data of wind powder in a boiler pipeline, wherein the first detection data comprises a first wind powder speed and a first wind powder concentration, the acoustic detection data comprises vibration frequency, amplitude and pressure, the first detection data is acquired by the annular electrostatic sensor, and the acoustic detection data is acquired by the acoustic sensor; inputting the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model to obtain second detection data, wherein the second detection data comprises a second wind powder speed and a second wind powder concentration; and determining a final detection value of the wind powder according to the first detection data and the second detection data. The invention can combine the first detection data and the second detection data to provide accurate wind powder detection data so as to accurately judge whether wind powder is uniform.
Description
Technical Field
The invention relates to the technical field of information data processing, in particular to a method and a device for detecting boiler wind powder and a storage medium.
Background
The uniform distribution of primary air powder (coal dust) is to optimize combustion and realize low NO x The primary conditions of (nitrogen oxide) combustion are that as the boiler capacity and the size of the furnace barrier are increased, the unbalanced combustion becomes more and more obvious and the problems are more and more serious.
Firstly, uneven air powder will cause uneven distribution of coal dust concentration and oxygen in different combustion areas in the furnace, and the high oxygen area burns violently and NO x The generation amount is large; the fuel combustion in the oxygen lack area is insufficient, and the carbon content and CO generation amount of the fly ash are obviously increased. At the same time cause O 2 、CO、NO x Maldistribution in cross section, in particular NO x The uneven distribution of the ammonia can cause serious ammonia escape problem of the denitration system, so that the air preheater is blocked and corroded, and the air preheater is safe and affordable. And secondly, the primary air flow rate of the pipeline is too low, so that the burning loss and coke hanging of the burner are caused, the flow rate of part of the burner is too high, and the abrasion is serious.
In the related art, the speed and concentration of wind powder in different combustion areas are generally measured by an annular electrostatic method so as to judge whether the wind powder is uniform or not. However, the annular electrostatic method is easily affected by moisture carried by wind powder, the charged strength of the wind powder can be greatly changed, and the measurement accuracy is reduced, so that whether the wind powder is uniform or not cannot be accurately judged.
Disclosure of Invention
Aiming at the technical problems and defects, the invention aims to provide a method, a device and a storage medium for detecting boiler wind powder, which are used for solving the problems that an annular electrostatic measurement method is not accurate enough and cannot detect accurate wind powder speed and concentration due to the fact that the water content of wind powder is too high.
In order to achieve the above object, in a first aspect, the present invention provides a method for detecting wind powder in a boiler, the method being applied to a wind powder detecting device of the boiler, the wind powder detecting device of the boiler being communicatively connected to an annular electrostatic sensor and an acoustic sensor, the annular electrostatic sensor and the acoustic sensor being both disposed on a boiler pipe, the annular electrostatic sensor being configured to determine a speed and a concentration of wind powder according to an electric charge carried by wind powder, the acoustic sensor being configured to collect a vibration frequency, an amplitude and a pressure generated when the wind powder strikes a probe, the method comprising:
acquiring first detection data and acoustic detection data of wind powder in a boiler pipeline, wherein the first detection data comprises a first wind powder speed and a first wind powder concentration, the acoustic detection data comprises vibration frequency, amplitude and pressure, the first detection data is acquired by the annular electrostatic sensor, and the acoustic detection data is acquired by the acoustic sensor;
Inputting the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model to obtain second detection data, wherein the second detection data comprises a second wind powder speed and a second wind powder concentration;
and determining a final detection value of the wind powder according to the first detection data and the second detection data.
By adopting the embodiment, the first detection data are obtained through the annular electrostatic sensor, the second detection data are obtained through the acoustic sensor, and the first detection data and the second detection data can be mutually checked for accuracy, so that more accurate final detection data are obtained. Compared with single detection data, the method can effectively reduce detection errors, enable the speed and concentration of the wind powder obtained by detection to be more accurate, enable the detection accuracy of the acoustic sensor not to be affected by the water content of the wind powder, provide accurate data support for accurately judging whether wind powder in a boiler is uniform or not, and reduce the problems that uneven combustion of the boiler is caused by uneven wind powder, and the improvement of combustion efficiency and the influence on safety are not facilitated.
In one embodiment, the step of determining a final detection value according to the first detection data and the second detection data includes: calculating a difference rate between the first detection data and the second detection data; judging whether the difference rate is within a set range; if yes, determining the first detection data as a final detection value of the wind powder; if not, the second detection data is determined as the final detection value of the wind powder.
By adopting the embodiment, when the difference rate of the first detection data and the second detection data is in the set range, the data detected by the annular electrostatic sensor is normal, the water content of wind powder is low, and the detection accuracy of the annular electrostatic sensor is not greatly affected. The detection data of the annular electrostatic sensor are accurate, effective and available, the accuracy of the first detection data meets the requirement, and the first detection data is determined to be the final detection value of the wind powder based on the actual detection value of the annular electrostatic sensor. When the difference rate of the first detection data and the second detection data is not in the set range, the data detected by the annular electrostatic sensor is abnormal, the possibility of inaccuracy exists, the water content of wind powder is possibly higher, and the detection precision of the annular electrostatic sensor is greatly influenced. For this wind dust detection, the detection data of the annular electrostatic sensor is not available. The second detection data is used as final detection data.
In an embodiment, after the step of determining the second detection data as the final detection value of the wind powder, the method further includes: generating inspection prompt information, wherein the inspection prompt information comprises the identification of the boiler pipeline and the identification of the annular electrostatic sensor, and sending the inspection prompt information to boiler management personnel.
By adopting the embodiment, after receiving the inspection prompt information sent by the boiler wind powder detection device, boiler management personnel locate a specific boiler pipeline according to the identification of the boiler pipeline and the identification of the annular electrostatic sensor, and then inspect whether the boiler pipeline and the annular electrostatic sensor are abnormal or not. If no abnormality exists, the condition that the water content in the wind powder is more causes the first detection data to be inaccurate is indicated.
In one embodiment, the step of obtaining acoustic detection data of the wind powder in the boiler pipe comprises:
receiving an acoustic signal acquired by the acoustic sensor, wherein the acoustic signal comprises vibration frequency, amplitude and pressure; the acoustic signal is preprocessed to obtain acoustic detection data, wherein the preprocessing comprises filtering, amplifying and analog-to-digital conversion.
With the above embodiment, unnecessary noise and interference can be removed by filtering and amplifying the acoustic signal, and the signal strength can be improved by the amplifying process. The analog-to-digital conversion can convert the acoustic signal from an analog signal to a digital signal, thereby facilitating subsequent signal data processing.
In one embodiment, the annular electrostatic sensor comprises a plurality of annular sensing electrodes which are arranged in parallel and at intervals in the boiler pipeline; the step of obtaining first detection data of the wind powder in the boiler pipeline comprises the following steps: receiving electrostatic induction data of each annular induction electrode, wherein the electrostatic induction data comprises an electric charge quantity and an electric charge moving speed; the first detection data is determined according to the static induction data.
By adopting the embodiment, the more accurate wind powder speed and wind powder concentration can be calculated by fusing the electrostatic induction data of a plurality of annular induction clicks.
In one embodiment, after the step of inputting the acoustic detection data, the diameter and the density of the wind powder into the wind powder estimation model to obtain the second detection data, the method further comprises: performing visual processing on the first detection data and the second detection data to obtain a detection data chart; the test data chart is presented to a boiler manager.
By adopting the embodiment, the boiler wind powder detection device can display the detection data chart through the display screen. The boiler management personnel observe the detection data chart through the display screen, can monitor the situation of first detection data and second monitoring data in real time, and when data appear unusual, can even respond to the processing, check whether boiler, annular electrostatic sensor or acoustic sensor appear the emergency.
In one embodiment, before the step of acquiring the first detection data and the acoustic detection data of the wind powder in the boiler pipeline, the method further comprises: constructing a wind powder estimation model; acquiring acoustic data and electrostatic sample data of a wind powder sample; inputting the acoustic data of the wind powder sample into the wind powder estimation model to obtain an output result; based on the output result and the static sample data, model parameters in the wind powder estimation model are adjusted to obtain a trained wind powder estimation model.
By adopting the embodiment, a more accurate wind powder estimation model can be constructed and trained. Powerful support is provided for the follow-up detection of the speed and concentration of wind powder, and more accurate second detection data can be output.
In a second aspect, an embodiment of the present invention provides a boiler wind powder detection apparatus, which is communicatively connected to an annular electrostatic sensor and an acoustic sensor, where the annular electrostatic sensor and the acoustic sensor are both disposed on a boiler pipe, the annular electrostatic sensor is used to determine a speed and a concentration of wind powder according to an electric charge carried by wind powder, and the acoustic sensor is used to collect a vibration frequency, an amplitude and a pressure generated when the wind powder strikes a probe, and the boiler wind powder detection apparatus includes:
the acquisition module is used for acquiring first detection data and acoustic detection data of wind powder in the boiler pipeline, wherein the first detection data comprise first wind powder speed and first wind powder concentration, the acoustic detection data comprise vibration frequency, amplitude and pressure, the first detection data are acquired by the annular electrostatic sensor, and the acoustic detection data are acquired by the acoustic sensor;
the estimation module is used for inputting the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model to obtain second detection data, wherein the second detection data comprises a second wind powder speed and a second wind powder concentration;
And the determining module is used for determining the final detection value of the wind powder according to the first detection data and the second detection data.
The boiler wind powder detection device provided by the embodiment of the invention can realize the technical effects of the method, and is not described in detail herein.
In a third aspect, the present invention provides a boiler wind powder detection device, comprising a processor and a memory, wherein the memory stores a computer program, and the computer program, when executed by the processor, implements the method described above.
The boiler wind powder detection device provided by the embodiment of the invention can realize the technical effects of the method, and is not described in detail herein.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method described above.
The storage medium of the embodiment of the present invention may achieve the technical effects of the above method, and is not described herein.
One or more technical solutions provided in the embodiments of the present invention at least have the following technical effects or advantages:
1. the first detection data are obtained through the annular electrostatic sensor, the second detection data are obtained through the acoustic sensor, and the first detection data and the second detection data can be mutually checked for accuracy, so that more accurate final detection data are obtained. Compared with single detection data, the method can effectively reduce detection errors, enable the speed and concentration of the wind powder obtained by detection to be more accurate, enable the detection accuracy of the acoustic sensor not to be affected by the water content of the wind powder, accurately judge whether wind powder in a boiler uniformly provides accurate data support, and reduce the problems that uneven combustion of the boiler is caused by uneven wind powder, combustion efficiency is not beneficial to improvement, and safety is affected.
2. When the difference rate of the first detection data and the second detection data is in the set range, the data detected by the annular electrostatic sensor is normal, the water content of wind powder is low, and the detection accuracy of the annular electrostatic sensor is not greatly affected. The detection data of the annular electrostatic sensor are accurate, effective and available, the accuracy of the first detection data meets the requirement, and the first detection data is determined to be the final detection value of the wind powder based on the actual detection value of the annular electrostatic sensor. When the difference rate of the first detection data and the second detection data is not in the set range, the data detected by the annular electrostatic sensor is abnormal, the possibility of inaccuracy exists, the water content of wind powder is possibly higher, and the detection precision of the annular electrostatic sensor is greatly influenced. For this wind dust detection, the detection data of the annular electrostatic sensor is not available. The second detection data is used as final detection data.
3. After receiving the inspection prompt information sent by the boiler wind powder detection device, boiler management personnel locate a specific boiler pipeline according to the identification of the boiler pipeline and the identification of the annular electrostatic sensor, and then inspect whether the boiler pipeline and the annular electrostatic sensor are abnormal or not. If no abnormality exists, the condition that the water content in the wind powder is more causes the first detection data to be inaccurate is indicated.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the drawings:
FIG. 1 is a schematic diagram of an application scenario of a boiler wind powder detection device in an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for detecting boiler wind powder in an embodiment of the invention;
FIG. 3 is a schematic diagram of the operation of a circular electrostatic sensor in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram of an acoustic sensor in accordance with an embodiment of the present invention;
FIG. 5 is a schematic diagram of a data mapping relationship of a wind powder estimation model according to an embodiment of the present invention;
FIG. 6 is a flow chart of another method for detecting boiler wind powder according to an embodiment of the present invention;
FIG. 7 is a functional block diagram of a boiler wind powder detection device according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a computer system architecture of an electronic device according to an embodiment of the invention.
Detailed Description
The terminology used in the following embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms as well, unless the context clearly indicates to the contrary. It should also be understood that the term "or" as used in this disclosure refers to and encompasses any or all possible combinations of one or more of the listed items. The terms "first" and "second" are used below for descriptive purposes only and are not to be construed as implying relative importance or implying an indication of the number of technical features being indicated. In the description of the embodiments of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more. The following describes embodiments of the present invention in detail.
Generally, the smaller the coal particles, the more fully burned in the boiler and the higher the thermal efficiency. Therefore, in the related art, coal is pulverized into pulverized coal, and the pulverized coal is mixed with wind and then enters a boiler for combustion.
The uniform distribution of primary air powder (pulverized coal transmitted by the same wave) is to optimize combustion and realize low NO x The primary conditions of (nitrogen oxide) combustion are that as the boiler capacity and the size of the furnace barrier are increased, the unbalanced combustion becomes more and more obvious and the problems are more and more serious.
In the related art, the speed and concentration of wind powder in different combustion areas are generally measured by an annular electrostatic method so as to judge whether the wind powder is uniform or not. The principle of the annular static method is that the wind powder carries charges, when primary wind powder passes through the annular static device, the annular static device can detect the charge quantity and the moving speed of the charges, and the speed and the concentration of the secondary wind powder can be calculated by combining the data of the pipe diameter, the length and the like of a boiler pipe.
However, the annular electrostatic method is easily affected by moisture carried by wind powder, the charged strength of the wind powder can be greatly changed, and the measurement accuracy is reduced, so that whether the wind powder is uniform or not cannot be accurately judged.
Therefore, the embodiment of the invention provides a boiler wind powder detection method, which is used for solving the problems that the annular electrostatic measurement method is not accurate enough and cannot detect the accurate wind powder speed and concentration due to the fact that the water content of wind powder is too high, and further can provide accurate wind powder detection data so as to accurately judge whether wind powder is uniform. According to the embodiment, the annular electrostatic sensor is used for obtaining first detection data, the acoustic sensor is used for obtaining second detection data, and the first detection data and the second detection data can be mutually checked for accuracy, so that more accurate final detection data can be obtained. Compared with single detection data, the method can effectively reduce detection errors, enable the speed and concentration of the wind powder obtained by detection to be more accurate, enable the detection accuracy of the acoustic sensor not to be affected by the water content of the wind powder, provide accurate data support for accurately judging whether wind powder in a boiler is uniform or not, and reduce the problems that uneven combustion of the boiler is caused by uneven wind powder, and the improvement of combustion efficiency and the influence on safety are not facilitated.
The boiler wind powder detection method of the embodiment of the invention is applied to a boiler wind powder detection device 1, as shown in fig. 1, the boiler wind powder detection device 1 is respectively in communication connection with an annular electrostatic sensor 2 and an acoustic sensor 3, the annular electrostatic sensor 2 and the acoustic sensor 3 are both arranged on a boiler pipeline 4, the annular electrostatic sensor 2 is used for determining the speed and concentration of wind powder according to the electric charge carried by wind powder, and the acoustic sensor 3 is used for collecting the vibration frequency, amplitude and pressure generated when the wind powder impacts a probe 31. As shown in fig. 2, the method comprises the steps of:
step 101, acquiring first detection data and acoustic detection data of wind powder in a boiler pipeline.
The first detection data comprise a first wind powder speed and a first wind powder concentration, the acoustic detection data comprise vibration frequency, amplitude and pressure, the first detection data are acquired by the annular electrostatic sensor, and the acoustic detection data are acquired by the acoustic sensor.
In this embodiment, the wind powder carries charges, and when the wind powder is transmitted in the boiler pipeline, the wind powder passes through the annular electrostatic sensor, the annular electrostatic sensor converts the collected electrostatic data into a first wind powder speed and a first wind powder concentration, and then forms first detection data to be sent to the boiler wind powder detection device.
Specifically, the annular electrostatic sensor comprises a plurality of annular sensing electrodes which are arranged in parallel and at intervals in the boiler pipeline. The step of obtaining the first detection data of the wind powder in the boiler pipeline may further comprise: firstly, receiving static induction data of each annular induction electrode, wherein the static induction data comprises an electric charge quantity and an electric charge moving speed; the first detection data is then determined based on the static induction data.
For example, the ring-shaped sensing electrode may include three, four, five or more, and the following present embodiment is exemplified by four examples:
as shown in fig. 3, four annular sensing electrodes, namely a first annular sensing electrode 21, a second annular sensing electrode 22, a third annular sensing electrode 23 and a fourth annular sensing electrode 24, are uniformly arranged on the boiler pipeline 4 at a time at intervals, and the distance between two adjacent annular sensing electrodes is L. The primary air passes through the first to fourth annular sensing electrodes 21 to 24 in sequence.
When primary wind powder passes through the first annular induction electrode 21, the wind powder carries static charges, so that the first annular induction electrode 21 generates first static induction data, and the time at the moment is recorded as t1; then when the primary air passes through the second annular sensing electrode 22, the second annular sensing electrode 22 generates second static electricity sensing data, and the time at the moment is recorded as t2; when primary wind powder passes through the third annular sensing electrode 23, the third annular sensing electrode 23 generates third electrostatic sensing data, and the time at the moment is recorded as t3; when the last wind powder passes through the fourth annular sensing electrode 24, the second annular sensing electrode 24 generates fourth electrostatic sensing data, and the time at this time is recorded as t4.
When wind powder passes between the first annular sensing electrode 21 and the second annular sensing electrode 22, the moving speed V1 = L/(t 2-t 1) of the electric charge;
when wind powder passes between the first annular sensing electrode 21 and the third annular sensing electrode 23, the moving speed V2 = 2L/(t 3-t 1) of the electric charge;
when wind powder passes between the first annular sensing electrode 21 and the fourth annular sensing electrode 24, the moving speed v3=3L/(t 4-t 1) of the electric charge;
when wind powder passes between the second annular sensing electrode 22 and the third annular sensing electrode 23, the moving speed V4 = L/(t 3-t 2) of the electric charge;
when wind powder passes between the second annular sensing electrode 22 and the fourth annular sensing electrode 24, the moving speed V5 = 2L/(t 4-t 2) of the electric charge;
when wind powder passes between the third annular sensing electrode 23 and the fourth annular sensing electrode 24, the moving speed V6 = L/(t 4-t 3) of the electric charge;
finally, the speed of the wind powder is v= (v1+v2+v3+v4+v5+v6)/6.
Meanwhile, the electric charge quantity Q1 can be obtained through the first induction electrostatic induction data, in this embodiment, the electric charge Q carried by each pulverized coal particle in the wind powder is known (can be obtained through previous experimental statistics), the quantity n1=q1/Q of the wind powder, the unit volume at the electrostatic induction electrode is M, and the wind powder concentration g1=n1/M obtained through the first induction electrostatic induction data;
The electric charge quantity Q2 can be obtained through the second induction electrostatic induction data, the quantity of wind powder N2=Q2/Q, and the concentration of wind powder is G2=N2/M;
the third induction electrostatic induction data can be used for obtaining the electric charge quantity Q3, the quantity N3=Q3/Q of wind powder, and the concentration of the wind powder is G3=N3/M;
the fourth induction electrostatic induction data can be used for obtaining the electric charge quantity Q4, the quantity N4=Q4/Q of wind powder, and the concentration of the wind powder is G4=N4/M;
finally, the concentration of wind powder is g= (g1+g2+g3+g4)/4.
On the other hand, as shown in fig. 4, the impact of wind powder on the probe 31 of the acoustic sensor 3 generates pressure on the probe 31 and causes the probe 31 to vibrate. The frequency and amplitude of the vibrations and the percussion pressure can be acquired by the acoustic sensor 3. The acoustic sensor 3 then transmits the vibration frequency, amplitude and pressure as acoustic detection data to the boiler wind dust detection device 1.
It should be emphasized that the data acquisition of the acoustic sensor 3 is not significantly affected by the moisture content of the wind powder. Because of the acoustic data such as vibration frequency, amplitude, pressure and the like, the acoustic data is not directly related to the water content of the wind powder.
The boiler wind powder detection device 1 receives the wind powder speed and wind powder concentration which are collected by the annular electrostatic sensor, and the vibration frequency, amplitude, pressure and other data which are collected by the acoustic sensor.
And 102, inputting the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model to obtain second detection data.
Wherein the second detection data includes a second wind speed and a second wind concentration. When the wind powder with various particles (different in diameter and density) in the wind powder estimation model impacts the probe, the corresponding relation among the vibration frequency, the amplitude and the pressure of the probe, the concentration and the speed of the wind powder is obtained. The acoustic data generated by the wind powder of each particle when striking the probe is different, so that the speed and concentration of the wind powder can be estimated and predicted through the difference.
The acoustic detection data of a large number of different particles are obtained through previous experiments when wind powder impacts the probe, and then analysis and statistics are carried out on the acoustic detection data to obtain the corresponding relation among the vibration frequency, the amplitude and the pressure of the probe, the wind powder concentration and the speed, and the corresponding relation can be generalized into the mapping relation between a data set containing the vibration frequency, the amplitude and the pressure and a data set containing the wind powder concentration and the speed as shown in fig. 5.
For example, if the diameter of the wind powder is d1 and the density is 1, the mapping relationship between the data set of vibration frequency, amplitude and pressure and the data set containing wind powder concentration and speed is f1.
Assuming that the vibration frequency is x1, the amplitude is y1, and the pressure is p1, there is
f1(x1、y1、p1)=(V，G)；
Wherein V is the second wind speed and G is the second wind concentration. And taking the second wind powder speed and the second wind powder concentration as second detection data.
It will be appreciated that the accuracy of the second detection data output by the wind powder estimation model will be higher and higher through a large number of training optimizations.
Step 103, determining a final detection value of the wind powder according to the first detection data and the second detection data.
Specifically, the average value of the first detection data and the second detection data may be used as a final detection value, or whether the annular electrostatic sensor is not accurate enough due to the fact that the moisture content of the wind powder is too high may be determined according to the difference between the first detection data and the second detection data. On the other hand, the acoustic sensor is not influenced by the water content of the wind powder, so that the more accurate wind powder speed and concentration can be obtained in an acoustic detection mode under the condition that the annular electrostatic sensor receives the influence of the water quantity of the wind powder.
The first detection data and the second detection data can mutually check the accuracy, so that more accurate final detection data is obtained, and compared with single detection data, detection errors can be effectively reduced, and the wind powder speed and the wind powder concentration obtained by detection are more accurate. The method can provide accurate data support for judging whether the air powder in the boiler is uniform or not, and reduce the problems that the boiler burns unevenly due to the uneven air powder, the combustion efficiency is not improved, and the safety is affected.
In order to explain the boiler wind powder detection method of the present embodiment in more detail, the following will specifically explain with reference to fig. 6. Step 103 includes steps 203, 204, 205, and 206, among others. The method comprises the following steps:
in step 201, first detection data and acoustic detection data of wind powder in the boiler pipeline are obtained.
The first detection data comprise a first wind powder speed and a first wind powder concentration, the acoustic detection data comprise vibration frequency, amplitude and pressure, the first detection data are acquired by the annular electrostatic sensor, and the acoustic detection data are acquired by the acoustic sensor.
Specifically, the step of acquiring acoustic detection data of the wind powder in the boiler pipeline may include: receiving an acoustic signal acquired by the acoustic sensor, wherein the acoustic signal comprises vibration frequency, amplitude and pressure; the acoustic signal is preprocessed to obtain acoustic detection data, wherein the preprocessing comprises filtering, amplifying and analog-to-digital conversion.
By filtering and amplifying the acoustic signal, unnecessary noise and interference can be removed, and the amplification process improves the signal strength. The analog-to-digital conversion can convert the acoustic signal from an analog signal to a digital signal, thereby facilitating subsequent signal data processing.
And 202, inputting the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model to obtain second detection data.
Wherein the second detection data includes a second wind speed and a second wind concentration.
Then, carrying out visualization processing on the first detection data and the second detection data to obtain a detection data chart; and then displaying the detection data chart to boiler management staff.
Specifically, the boiler wind powder detection device displays a detection data chart through a display screen. The boiler management personnel observe the detection data chart through the display screen, can monitor the situation of first detection data and second monitoring data in real time, and when data appear unusual, can even respond to the processing, check whether boiler, annular electrostatic sensor or acoustic sensor appear the emergency.
Step 203, calculating a difference rate between the first detection data and the second detection data.
Specifically, in the first detection data, the first wind powder speed is set to be V1, and the first wind powder concentration is set to be G1; in the second detection data, the second wind powder speed is V2, and the second wind powder concentration is G2.
The difference rate R1 = V1-V2/V2 of the first wind powder speed and the second wind powder speed;
The difference rate of the first wind powder concentration and the second wind powder concentration is R2=G1-G2/G2.
Step 204, determining whether the difference rate is within a set range.
For example, the setting range is 0 to 10%, and if R1 or R2 exceeds 10%, the difference ratio is not within the setting range. Step 205 is entered. If R1 and R2 are both within the range of 0 to 10%, the difference rate is not within the preset range, and step 206 is performed.
Step 205, determining the first detection data as a final detection value of the wind powder.
The difference rate of the first detection data and the second detection data is in a set range, so that the data detected by the annular electrostatic sensor is normal, the water content of wind powder is low, and the detection accuracy of the annular electrostatic sensor is not greatly affected. The detection data of the annular electrostatic sensor are accurate, effective and available, the accuracy of the first detection data meets the requirement, and the first detection data is determined to be the final detection value of the wind powder based on the actual detection value of the annular electrostatic sensor.
And 206, determining the second detection data as a final detection value of the wind powder.
The difference rate of the first detection data and the second detection data is not in a set range, which indicates that the data detected by the annular electrostatic sensor is abnormal, the possibility of inaccuracy exists, the water content of wind powder is possibly higher, and the detection precision of the annular electrostatic sensor is greatly influenced. For this wind dust detection, the detection data of the annular electrostatic sensor is not available. The second detection data is used as final detection data. Step 207 is entered.
In step 207, a check prompt is generated.
The checking prompt information comprises the identification of the boiler pipeline and the identification of the annular electrostatic sensor.
Further inspection is required due to inaccurate detection data of the annular electrostatic sensor. Each annular electrostatic sensor corresponds to a section of boiler pipeline, namely the identifiers of the annular electrostatic sensors and the identifiers of the boiler pipeline are in one-to-one correspondence. Step 208 is entered
Step 208, the inspection prompt information is sent to a boiler manager.
After receiving the inspection prompt information sent by the boiler wind powder detection device, boiler management personnel locate a specific boiler pipeline according to the identification of the boiler pipeline and the identification of the annular electrostatic sensor, and then inspect whether the boiler pipeline and the annular electrostatic sensor are abnormal or not. If no abnormality exists, the condition that the water content in the wind powder is more causes the first detection data to be inaccurate is indicated.
Step 209, determining the combustion condition of the boiler according to the final detection value of the wind powder, and adjusting the speed and the concentration of the wind powder in the boiler pipeline to enable the coal powder in each combustion area of the boiler to be fully combusted.
The first detection data and the second detection data can mutually check the accuracy, so that more accurate final detection data is obtained, and compared with single detection data, detection errors can be effectively reduced, and the wind powder speed and the wind powder concentration obtained by detection are more accurate. The method can provide accurate data support for judging whether the air powder in the boiler is uniform or not, and reduce the problems that the boiler burns unevenly due to the uneven air powder, the combustion efficiency is not improved, and the safety is affected.
In order to improve the accuracy of the wind powder estimation model, the wind powder estimation model needs to be constructed and trained. Specifically, before the step of acquiring the first detection data and the acoustic detection data of the wind powder in the boiler pipeline, the method comprises the following steps of:
first, a wind powder estimation model is constructed. Specifically, based on acoustic detection data when wind powder of a large number of different particles impacts the probe, analysis and statistics are carried out on the acoustic detection data to obtain a corresponding relation among the vibration frequency, the amplitude and the pressure of the probe, the wind powder concentration and the speed, and the corresponding relation can be generalized into a mapping relation between a data set containing the vibration frequency, the amplitude and the pressure and a data set containing the wind powder concentration and the speed.
Secondly, wind powder sample acoustic data and electrostatic sample data are acquired.
Specifically, a wind powder having a low water content may be used as the subject. Through a lot of experiments, wind powder concentration and speed are detected through annular electrostatic sensors and acoustic sensors. In the experiment, the data acquired by the acoustic sensor is taken as the acoustic data of the wind powder sample.
Meanwhile, as the moisture content of the wind powder is low, the detection precision of the annular electrostatic sensor is normal, and the detected electrostatic sample data can be used as a true value for verifying the output result of the wind powder estimation model.
And then, inputting the acoustic data of the wind powder sample into the wind powder estimation model to obtain an output result.
Finally, based on the output result and the static sample data, adjusting model parameters in the wind powder estimation model to obtain a trained wind powder estimation model.
The model parameters in the wind powder estimation model are used for representing the mapping relation or the mapping path between the vibration frequency, the amplitude, namely the pressure and the wind powder concentration and the speed.
Through the steps, a more accurate wind powder estimation model can be constructed and trained.
The embodiment of the invention also provides a boiler wind powder detection device which is used for executing the boiler wind powder detection method. The boiler wind powder detection device is respectively in communication connection with an annular electrostatic sensor and an acoustic sensor, the annular electrostatic sensor and the acoustic sensor are both arranged on a boiler pipeline, the annular electrostatic sensor is used for determining the speed and concentration of wind powder according to the electric charge carried by the wind powder, and the acoustic sensor is used for collecting vibration frequency, amplitude and pressure intensity generated when the wind powder impacts a probe. As shown in fig. 7, the boiler wind powder detection apparatus includes:
the acquisition module 11 is configured to acquire first detection data and acoustic detection data of wind powder in the boiler pipeline, where the first detection data includes a first wind powder speed and a first wind powder concentration, the acoustic detection data includes a vibration frequency, an amplitude and a pressure, the first detection data is acquired by the annular electrostatic sensor, and the acoustic detection data is acquired by the acoustic sensor.
The acquiring module 11 may be further specifically configured to: receiving an acoustic signal acquired by the acoustic sensor, wherein the acoustic signal comprises vibration frequency, amplitude and pressure; the acoustic signal is preprocessed to obtain acoustic detection data, wherein the preprocessing comprises filtering, amplifying and analog-to-digital conversion.
The acquiring module 11 may be further specifically configured to, when acquiring the first detection data: receiving electrostatic induction data of each annular induction electrode, wherein the electrostatic induction data comprises an electric charge quantity and an electric charge moving speed; the first detection data is determined according to the static induction data.
The estimation module 12 is configured to input the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model, and obtain second detection data, where the second detection data includes a second wind powder speed and a second wind powder concentration.
The determining module 13 is configured to determine a final detection value of the wind powder according to the first detection data and the second detection data. Specifically, the determining module is used for: calculating a difference rate between the first detection data and the second detection data; judging whether the difference rate is within a set range; if yes, determining the first detection data as a final detection value of the wind powder; if not, the second detection data is determined as the final detection value of the wind powder.
In an embodiment, the boiler wind powder detection device of the present embodiment further includes:
and the generation module is used for generating inspection prompt information, wherein the inspection prompt information comprises the identification of the boiler pipeline and the identification of the annular electrostatic sensor.
And the sending module is used for sending the checking prompt information to a boiler manager.
In an embodiment, the boiler wind powder detection device of the present embodiment further includes:
the visualization module is used for carrying out visualization processing on the first detection data and the second detection data to obtain a detection data chart;
and the display module is used for displaying the detection data chart to boiler management staff.
The boiler wind powder detection device of this embodiment can realize the beneficial effect that the boiler wind powder detection method that the above embodiment provided produces, and this is not described in detail here.
The boiler wind powder detection device of the embodiment comprises, but is not limited to, electronic equipment such as a mobile phone, a computer, a tablet personal computer, a server, a singlechip and the like.
The boiler wind powder detection device of the embodiment of the invention is an electronic device, and fig. 8 shows a schematic diagram of an architecture of the electronic device suitable for implementing the embodiment of the invention.
It should be noted that the electronic device shown in fig. 8 is only an example, and should not impose any limitation on the functions and application scope of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions (computer programs) or by control of associated hardware by instructions (computer programs), which may be stored in a computer-readable storage medium and loaded and executed by a processor. The electronic device of the present embodiment includes a storage medium and a processor, where the storage medium stores a plurality of instructions that can be loaded by the processor to perform any of the steps of the methods provided by the embodiments of the present invention.
In particular, the storage medium and the processor are electrically connected, either directly or indirectly, to enable transmission or interaction of data. For example, the elements may be electrically connected to each other by one or more signal lines. The storage medium has stored therein computer-executable instructions for implementing the data access control method, including at least one software functional module that may be stored in the storage medium in the form of software or firmware, and the processor executes the software programs and modules stored in the storage medium to perform various functional applications and data processing. The storage medium may be, but is not limited to, random Access Memory (RAM), read Only Memory (ROM), programmable Read Only Memory (PROM), erasable read only memory (EPROM), electrically erasable read only memory (EEPROM), etc. The storage medium is used for storing a program, and the processor executes the program after receiving the execution instruction.
Further, the software programs and modules within the storage media described above may also include an operating system, which may include various software components or drivers for managing system tasks (e.g., memory management, storage device control, power management, etc.), and may communicate with various hardware or software components to provide an operating environment for other software components. The processor may be an integrated circuit chip with signal processing capabilities. The processor may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc., which may implement or execute the methods, steps, and logic flow diagrams disclosed in the embodiments. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Because the instructions stored in the storage medium may perform steps in any of the methods provided in the embodiments of the present invention, the beneficial effects of any of the methods provided in the embodiments of the present invention may be achieved, and detailed descriptions of the foregoing embodiments are omitted herein.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (10)
1. The utility model provides a boiler wind powder detection method which characterized in that is applied to boiler wind powder detection device, boiler wind powder detection device respectively with annular electrostatic sensor and acoustic sensor communication connection, annular electrostatic sensor with acoustic sensor all sets up on the boiler pipeline, annular electrostatic sensor is used for confirming the speed and the concentration of wind powder according to the electric charge that wind powder carried, acoustic sensor is used for gathering vibration frequency, amplitude and the pressure that wind powder produced when striking the probe, the method includes:
acquiring first detection data and acoustic detection data of wind powder in the boiler pipeline, wherein the first detection data comprise first wind powder speed and first wind powder concentration, the acoustic detection data comprise vibration frequency, amplitude and pressure, the first detection data are acquired by the annular electrostatic sensor, and the acoustic detection data are acquired by the acoustic sensor;
inputting the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model to obtain second detection data, wherein the second detection data comprises a second wind powder speed and a second wind powder concentration;
and determining a final detection value of the wind powder according to the first detection data and the second detection data.
2. The method of claim 1, wherein the step of determining a final test value from the first test data and the second test data comprises:
calculating a difference rate between the first detection data and the second detection data;
judging whether the difference rate is in a set range or not;
if yes, determining the first detection data as a final detection value of the wind powder;
if not, the second detection data is determined to be the final detection value of the wind powder.
3. The method of claim 2, further comprising, after the step of determining the second detection data as a final detection value of the wind powder:
generating inspection prompt information, wherein the inspection prompt information comprises the identification of the boiler pipeline and the identification of the annular electrostatic sensor
And sending the checking prompt information to a boiler manager.
4. A method according to any one of claims 1 to 3, wherein the step of obtaining acoustic detection data of wind dust in the boiler tubes comprises:
receiving an acoustic signal acquired by the acoustic sensor, wherein the acoustic signal comprises vibration frequency, amplitude and pressure;
And preprocessing the acoustic signal to obtain acoustic detection data, wherein the preprocessing comprises filtering, amplifying and analog-to-digital conversion.
5. The method of claim 1, wherein the annular electrostatic sensor comprises a plurality of annular sensing electrodes disposed in parallel spaced relation in the boiler duct;
the step of obtaining the first detection data of the wind powder in the boiler pipeline comprises the following steps:
receiving static induction data of each annular induction electrode, wherein the static induction data comprises an electric charge quantity and an electric charge moving speed;
and determining the first detection data according to the static induction data.
6. The method of claim 1, further comprising, after the step of inputting the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model, the step of obtaining second detection data:
performing visual processing on the first detection data and the second detection data to obtain a detection data chart;
and displaying the detection data chart to a boiler manager.
7. The method of claim 1, further comprising, prior to the step of acquiring the first detection data and the acoustic detection data of the pulverized coal in the boiler duct:
Constructing a wind powder estimation model;
acquiring acoustic data and electrostatic sample data of a wind powder sample;
inputting the acoustic data of the wind powder sample into the wind powder estimation model to obtain an output result;
and adjusting model parameters in the wind powder estimation model based on the output result and the static sample data to obtain a trained wind powder estimation model.
8. The utility model provides a boiler wind powder detection device, its characterized in that, boiler wind powder detection device respectively with annular electrostatic sensor and acoustic sensor communication connection, annular electrostatic sensor with acoustic sensor all sets up on boiler pipeline, annular electrostatic sensor is used for confirming the speed and the concentration of wind powder according to the electric charge that wind powder carried, acoustic sensor is used for gathering vibration frequency, amplitude and the pressure that produce when wind powder strikes the probe, boiler wind powder detection device includes:
the acquisition module is used for acquiring first detection data and acoustic detection data of wind powder in the boiler pipeline, wherein the first detection data comprise first wind powder speed and first wind powder concentration, the acoustic detection data comprise vibration frequency, amplitude and pressure, the first detection data are acquired by the annular electrostatic sensor, and the acoustic detection data are acquired by the acoustic sensor;
The estimation module is used for inputting the acoustic detection data, the diameter and the density of the wind powder into a wind powder estimation model to obtain second detection data, wherein the second detection data comprises a second wind powder speed and a second wind powder concentration;
and the determining module is used for determining the final detection value of the wind powder according to the first detection data and the second detection data.
9. A boiler wind powder detection device, characterized by comprising a processor and a memory, said memory having stored thereon a computer program which, when executed by said processor, implements the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118225642A (en) * | 2024-05-23 | 2024-06-21 | 沃森能源技术（廊坊）有限公司 | Laminated wind powder detection device and detection method thereof |
| CN118225643A (en) * | 2024-05-23 | 2024-06-21 | 沃森能源技术（廊坊）有限公司 | Embedded wind powder measuring system and measuring method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118225642A (en) * | 2024-05-23 | 2024-06-21 | 沃森能源技术（廊坊）有限公司 | Laminated wind powder detection device and detection method thereof |
| CN118225643A (en) * | 2024-05-23 | 2024-06-21 | 沃森能源技术（廊坊）有限公司 | Embedded wind powder measuring system and measuring method thereof |
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