CN113761679B - Method and device for predicting noise of compressor - Google Patents
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Abstract
The application discloses a method and a device for predicting compressor noise, and relates to the field of noise prediction, wherein the method comprises the following steps: determining information related to a multi-stage compressor package, the multi-stage compressor package comprising a plurality of single-stage compressor packages; respectively inputting the related information of the single-stage compressor units into a prediction model to obtain sound pressure predicted values of the single-stage compressor units; and inputting the sound pressure predicted values of the single-stage compressor units into a superposition model to obtain the sound pressure predicted values of the multi-stage compressor units. Through the method and the device, the amplitude, the components and the sources of the noise can be rapidly analyzed, the noise prediction requirement of the compressor when leaving the factory can be met, the problem can be conveniently and rapidly solved on site, and meanwhile, technical guidance is provided for parameter optimization in the design stage.
Description
Technical Field
The present disclosure relates to the field of noise prediction, and in particular, to a method and apparatus for predicting noise of a compressor.
Background
Centrifugal compressors are critical production equipment in large petrochemical enterprises, which play an irreplaceable role in the field of petroleum refining. With the development of industrial progress and scientific technology, centrifugal compressors are moving toward high rotation speed, heavy load and automation, and the structure is becoming complex, and the requirements on vibration and noise are also increasing. Meanwhile, the control and treatment of various industrial vibration sources, noise source hazards and pollution problems become a key problem and an important scientific research target to be solved urgently. At present, the research requirements of various enterprises are obvious, and the noise level of the operated unit exceeds the standard for many times, so that a reliable noise prediction method is urgently needed to be provided for the centrifugal compressor unit.
In terms of compressor noise prediction, the prior art relies primarily on noise testing using a noise tester. In terms of noise testing technology, important roles are played in research of compressor noise prediction, but certain defects still exist, the technology is limited by the defects of high cost, long time consumption, difficult testing of a large-scale unit, large background noise influence and the like, and the technology can only aim at produced entity models, and is inconvenient to apply to the production optimization design stage in a manufacturer factory.
Disclosure of Invention
In view of this, the present application provides a method and apparatus for predicting noise of a compressor, so as to solve the problems of high cost, long time consumption, many limited factors, and applicability to only produced solid models in the prior art.
According to one aspect of the present application, there is provided a method and apparatus for predicting noise of a compressor, the method comprising:
determining information related to a multi-stage compressor package, the multi-stage compressor package comprising a plurality of single-stage compressor packages;
respectively inputting the related information of the single-stage compressor units into a prediction model to obtain sound pressure predicted values of the single-stage compressor units;
and inputting the sound pressure predicted values of the single-stage compressor units into a superposition model to obtain the sound pressure predicted values of the multi-stage compressor units.
Further, the determining the related information of the multi-stage compressor unit specifically includes:
and setting a multi-stage compressor unit according to the user requirement, and determining related information of the multi-stage compressor unit, wherein the related information at least comprises the shaft power, the rotating speed, the polytropic efficiency of each stage of impeller, the diameter of the impeller, the number of impeller blades and the minimum shell thickness of the unit.
Further, before the relevant information of the single-stage compressor sets is input to the prediction model to obtain sound pressure predicted values of the single-stage compressor sets, the method further includes:
collecting a noise test result of the multistage compressor unit in an operation state;
inputting the related information of the multi-group multi-stage compressor unit and the noise test result into an initial model for trial calculation, and determining contribution coefficients of the initial model in different prediction dimensions, wherein the contribution coefficients at least comprise a power contribution coefficient, a rotor rotating speed contribution coefficient, a shell contribution coefficient, a complete machine correction value and a shell thickness correction value;
and constructing a prediction model by using the contribution coefficients of the initial model in different prediction dimensions.
Further, the inputting the related information of the multiple groups of multi-stage compressor sets and the noise test result into an initial model for trial calculation, and determining the contribution coefficients of the initial model in different prediction dimensions specifically includes:
respectively inputting the related information of the single-stage compressor units into an initial model to obtain sound pressure test values of the single-stage compressor units;
calculating test value errors formed by sound pressure test values of the plurality of single-stage compressor units and the noise test results;
and performing trial calculation on the initial model by using the test value error, and determining contribution coefficients of the initial model in different prediction dimensions.
Further, the calculating the initial model by using the test value error, and determining the contribution coefficients of the initial model in different prediction dimensions specifically includes:
judging whether the test error value is in a preset numerical range or not;
if not, adjusting the contribution coefficients of the initial model in different prediction dimensions so that the test error value is in the preset numerical range;
and determining the contribution coefficients of the test error values in different prediction dimensions corresponding to the preset numerical range as the contribution coefficients of the initial model in different prediction dimensions.
Further, the inputting the related information of the plurality of single-stage compressor units to the prediction model to obtain sound pressure predicted values of the plurality of single-stage compressor units specifically includes:
respectively inputting the related information of the single-stage compressor units into a prediction model, and calculating the contribution values of the single-stage compressor units in different prediction dimensions;
and summarizing the contribution values of the single-stage compressor units in different prediction dimensions to obtain sound pressure prediction values of the single-stage compressor units.
Further, after the relevant information of the plurality of single-stage compressor units is input to the prediction model to obtain sound pressure predicted values of the plurality of single-stage compressor units, the method further includes:
and inquiring sound pressure predicted values of the single-stage compressor units, taking the single-stage compressor unit with the largest sound pressure predicted value as a main noise source, and carrying out noise reduction treatment on the main noise source.
According to another aspect of the present application, there is provided a prediction apparatus of compressor noise, the apparatus comprising:
a determining unit configured to determine information about a multi-stage compressor unit including a plurality of single-stage compressor units;
the prediction unit is used for inputting the related information of the single-stage compressor units into the prediction model respectively to obtain sound pressure predicted values of the single-stage compressor units;
and the calculating unit is used for inputting the sound pressure predicted values of the single-stage compressor units into the superposition model to obtain the sound pressure predicted values of the multi-stage compressor units.
Further, the determining unit is specifically configured to set the multi-stage compressor unit according to a user requirement, and determine related information of the multi-stage compressor unit, where the related information includes at least shaft power, rotational speed, polytropic efficiency of each stage of impeller, diameter of the impeller, number of impeller blades, and minimum casing thickness of the unit.
Further, the apparatus further comprises:
the acquisition unit is used for acquiring a noise test result of the multistage compressor unit in an operation state before the related information of the plurality of single-stage compressor units is input to the prediction model to obtain sound pressure predicted values of the plurality of single-stage compressor units;
the trial calculation unit is used for inputting the related information of the multi-stage compressor unit and the noise test result into an initial model for trial calculation, and determining contribution coefficients of the initial model in different prediction dimensions, wherein the contribution coefficients at least comprise a power contribution coefficient, a rotor rotating speed contribution coefficient, a shell contribution coefficient, a complete machine correction value and a shell thickness correction value;
and the construction unit is used for constructing a prediction model by utilizing the contribution coefficients of the initial model in different prediction dimensions.
Further, the trial calculation unit includes:
the test module is used for inputting the related information of the single-stage compressor units to the initial model respectively to obtain sound pressure test values of the single-stage compressor units;
the first calculation module is used for calculating a test value error formed by the sound pressure test values of the plurality of single-stage compressor units and the noise test result;
and the trial calculation module is used for carrying out trial calculation on the initial model by utilizing the test value error and determining the contribution coefficients of the initial model in different prediction dimensions.
Further, the trial calculation module includes:
the judging submodule is used for judging whether the test error value is in a preset numerical range or not;
the adjustment sub-module is used for adjusting the contribution coefficients of the initial model in different prediction dimensions if not, so that the test error value is in the preset numerical range;
and the determining submodule is used for determining the contribution coefficients of the test error value in different prediction dimensions corresponding to the preset numerical range as the contribution coefficients of the initial model in the different prediction dimensions.
Further, the prediction unit includes:
the second calculation module is used for inputting the related information of the single-stage compressor units to the prediction model respectively and calculating the contribution values of the single-stage compressor units in different prediction dimensions;
and the summarizing module is used for summarizing the contribution values of the single-stage compressor units in different prediction dimensions to obtain sound pressure prediction values of the single-stage compressor units.
Further, the apparatus further comprises:
and the processing unit is used for inputting the related information of the single-stage compressor units into the prediction model respectively to obtain sound pressure predicted values of the single-stage compressor units, and then carrying out noise reduction processing on the main noise source by inquiring the sound pressure predicted values of the single-stage compressor units and taking the single-stage compressor unit with the largest sound pressure predicted value as the main noise source.
By means of the technical scheme, compared with the mode of using a noise tester to conduct noise test in the existing mode, the method and device for predicting the compressor noise are characterized in that the related information of the multi-stage compressor unit is determined, and the multi-stage compressor unit comprises a plurality of single-stage compressor units; respectively inputting the related information of the single-stage compressor units into a prediction model to obtain sound pressure predicted values of the single-stage compressor units; the sound pressure predicted values of the single-stage compressor units are input into the superposition model to obtain the sound pressure predicted values of the multi-stage compressor units, and the method can be applied to the production optimization design stage in a manufacturer factory without being limited by conditions such as background noise and machine type and the like aiming at the existing unit for field measurement, so that the amplitude, the components and the sources of the noise are rapidly analyzed.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a schematic flow chart of a method for predicting compressor noise according to an embodiment of the present application;
FIG. 2 is a flow chart of another method for predicting compressor noise according to an embodiment of the present disclosure;
FIG. 3 illustrates a flow diagram of a method of generating a compressor noise prediction model provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of a noise tester layout for collecting noise test results according to an embodiment of the present application;
FIG. 5 is a flow chart of a method for determining contribution coefficients in a compressor noise prediction model according to an embodiment of the present application;
FIG. 6 is a flow chart illustrating another method for determining contribution coefficients in a compressor noise prediction model according to an embodiment of the present application;
FIG. 7 is a schematic diagram illustrating an interface generated by sound pressure prediction of a first set of single-stage compressor units in an implementation scenario according to an embodiment of the present application;
FIG. 8 is a schematic diagram illustrating an interface generated by sound pressure prediction of a second set of single-stage compressor units in an implementation scenario according to an embodiment of the present disclosure;
FIG. 9 is a schematic diagram illustrating an interface generated by sound pressure prediction of a third set of single-stage compressor units in an implementation scenario according to an embodiment of the present disclosure;
fig. 10 illustrates an interface schematic diagram of sound pressure prediction generation of a fourth set of single-stage compressor units in an implementation scenario provided in an embodiment of the present application;
fig. 11 shows an interface schematic diagram of prediction generation of total sound pressure of a multi-stage compressor unit in an implementation scenario provided in an embodiment of the present application;
fig. 12 is a schematic structural diagram of a compressor noise prediction apparatus according to an embodiment of the present application;
fig. 13 is a schematic structural diagram of another compressor noise prediction apparatus according to an embodiment of the present application.
Detailed Description
The present application will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
At present, a plurality of measuring points are arranged around a compressor in an operating state in the existing mode, a noise tester is used for carrying out noise testing on the measuring points, and then weighting processing is carried out on the testing values. However, the existing method has high cost, long time consumption, large influence of background noise on measured values, and difficulty in obtaining accurate predicted values of noise.
In order to solve the problem, the present embodiment provides a method for predicting noise of a compressor, as shown in fig. 1, the method including:
101. information is determined about a multi-stage compressor package including a plurality of single-stage compressor packages.
When industrial gas is required to reach higher pressure, multistage compression is needed, the pressure of the gas is gradually increased in a grading way, a multistage compressor unit is needed, the number of stages of the compressor unit is increased along with the increase of the required pressure, and when the number of stages of the compressor is increased, the number of revolutions is increased, the load is increased, and the noise is increased. Therefore, noise is predicted in the design stage of the compressor, and the design is optimized, so that the harm and pollution of the noise can be greatly reduced.
The compressor unit according to the present embodiment includes: the device comprises a prime motor, a shell, an air cylinder, a rotating shaft and an impeller fixed on the rotating shaft. The working principle of the compressor can be simply understood that gas enters the impeller from the gas inlet part, the prime motor drives the rotating shaft impeller to rotate, the pressure of the gas is increased under the action of centrifugal force, and in order to further increase the pressure of the gas, a mode of connecting a plurality of single-stage compressor units in series can be adopted to achieve the expected effect.
The related information of the multi-stage compressor unit is determined, and at least comprises the shaft power, the rotating speed, the polytropic efficiency of each stage of impeller, the diameter of the impeller, the number of impeller blades and the minimum shell thickness of the unit. The shaft power of the compressor refers to the actual power which is required to be transmitted to a rotating shaft of the compressor by a prime mover for driving the compressor to work and providing motive power; the rotating speed refers to the rotating speed of the rotating shaft of each group of single-stage compressors; the variable efficiency of the impeller, which is the ratio of variable compression work required to increase the gas pressure from P1 to P2 to the work actually consumed, is the variable compression process in which the compressor has various compression processes in the working process, wherein the variable compression is a lossy compression process; the impeller diameter, the number of blades, and the minimum casing thickness are all relatively easy to understand and are not described in detail herein.
102. And respectively inputting the related information of the single-stage compressor units into a prediction model, and calculating the contribution values of the single-stage compressor units in different prediction dimensions.
The prediction model can be a part of a program for realizing small program, and a user can quickly obtain the contribution values of the single-stage compressor unit in different prediction dimensions and the prediction results of noise by inputting the related information of the compressor unit into the prediction model. The different prediction dimensions here can be understood as the parts that cause the variation of the sound pressure prediction value, e.g. power, rotor speed, housing, etc. It will be appreciated that the compressor package is made up of a plurality of components, and that noise generated during operation of the compressor package is generated by the plurality of components together, so that changes in parameters of the components can affect the predicted value of the noise, and the contribution of the compressor package can be derived from the parameters of the components. The contribution values over the different prediction dimensions may include: power contribution, rotor speed contribution, casing contribution, blade passing frequency, speed frequency, etc. Wherein, the power contribution value refers to the influence of power and efficiency on noise; the rotor rotation speed contribution value refers to the influence of the rotation speed and the size of the impeller on noise; the shell contribution value refers to the influence of the shell thickness on noise; blade passing frequency refers to the noise frequency caused by the blade; the rotational speed frequency refers to the number of times the rotational speed is periodically changed within 1 s. The blade passing frequency and the rotating speed frequency are important indexes for measuring the noise amplitude of the compressor, and the compressor sound pressure prediction is not more related to the indexes, so that the process is skipped.
103. And inputting the sound pressure predicted values of the single-stage compressor units into a superposition model to obtain the sound pressure predicted values of the multi-stage compressor units.
The superposition model can be another part of the program for realizing the small program, and a user can quickly obtain the prediction result of the noise of the multi-stage compressor unit by inputting the noise prediction value of each single-stage compressor unit forming the multi-stage compressor unit into the superposition model.
It should be explained that the parameters describing the sound include: sound pressure, sound intensity, and sound power. When the sound wave propagates forwards, the energy of the sound wave is transmitted, and the average sound energy vertically passing through a unit area in unit time in the transmission direction of the sound wave becomes sound intensity. Acoustic power refers to the energy of sound radiated by a sound source per unit time. The sound pressure is the change generated after the atmospheric pressure is interfered by sound waves, namely the residual pressure of the atmospheric pressure, and is equivalent to the pressure change caused by superposition of sound wave disturbance on the atmospheric pressure. It can be understood that more than two independent sound sources act on a certain point to generate superposition of noise, the sound power and sound intensity can be algebraically added, and the sound powers of two sound sources are respectively W 1 And W is 2 Then the total sound power is W 1 +W 2 The sound intensity of two sound sources at a certain point is I 1 And I 2 When the total sound intensity after superposition is I 1 +I 2 . The sound pressures cannot be directly algebraically added, and in this embodiment, the addition of sound pressures is performed using a superposition model, and the obtained sound pressure predicted values of each set of single-stage compressor units are input to the superposition model, and the superposition model has the function of adding sound pressures, so that the sound pressure predicted values of the multi-stage compressor units can be accurately obtained.
Further, as a refinement and expansion of the embodiment of fig. 1, to fully describe the implementation procedure of this embodiment, this embodiment provides another method for predicting noise of a compressor, as shown in fig. 2, where the method includes:
201. information is determined about a multi-stage compressor package including a plurality of single-stage compressor packages.
As in step 101, further description is omitted here.
202. And respectively inputting the related information of the single-stage compressor units into a prediction model, and calculating the contribution values of the single-stage compressor units in different prediction dimensions.
After the compressor related information is input to the prediction model, the obtained contribution value may include: the contribution value α×f (η, kW) in the power prediction dimension, where a represents the power contribution coefficient, f (η, kW) is an equation for the overall absorption power and the polytropic efficiency of the compressor, representing the effect of power and efficiency on the compressor noise prediction value, η represents the impeller polytropic efficiency, kW represents the overall absorption power of the compressor, also called active power, and the consumed electrical energy; the contribution values may also include: contribution value b f (Φ) in rotor speed prediction dimension m N), wherein b represents a rotor rotational speed contribution coefficient, f (Φ) m N) represents an equation about the impeller diameter and the rotation speed, and reflects the influence of the impeller size and the rotation speed on the predicted value of the noise of the compressor, phi m Representing the impeller diameter, N representing the rotational speed, the contribution value may further include: contribution c×f (e m ) Wherein c represents a casing contribution coefficient, f (e m ) Equation representing minimum shell thickness, reflecting the effect of shell thickness on compressor noise prediction value, e m Representing the minimum chassis thickness. It is understood that a, b, and c mentioned herein are contribution coefficients of the compressor unit in different prediction dimensions, and are obtained by repeatedly trial and error on the prediction model.
203. And summarizing the contribution values of the single-stage compressor units in different prediction dimensions to obtain sound pressure prediction values of the single-stage compressor units.
The noise generated during the operation of the compressor unit is generated by a plurality of components, and the contribution values of all the components are summarized and corrected to obtain the sound pressure predicted value of the single-stage compressor unit. The sound pressure value prediction formula is as follows after repeated trial calculation:
L P ＝a*f(η，kW)+b*f(Φ m ，N)+c*f(e m )+d 1 +d 2 wherein L is P Represents the predicted value of sound pressure d 1 Indicating the correction value of the whole machine, d 2 Indicating the corrected value of the thickness of the casing.
204. And inquiring sound pressure predicted values of the single-stage compressor units, taking the single-stage compressor unit with the largest sound pressure predicted value as a main noise source, and carrying out noise reduction treatment on the main noise source.
The above-mentioned sound pressure is the change of atmospheric pressure caused by acoustic interference, namely the residual pressure of the atmospheric pressure, which is equivalent to the pressure change caused by superposition of an acoustic disturbance on the atmospheric pressure. As can be seen from the description, the noise prediction value of a multi-stage compressor unit is superimposed by the noise prediction values generated by a plurality of single-stage compressor units, and the relationship between the two is increased in proportion, so that when the multi-stage compressor unit needs to be subjected to noise reduction, the single-stage compressor unit with the largest noise is subjected to noise reduction first, which is the most rapid and effective method.
205. And inputting the sound pressure predicted values of the single-stage compressor units into a superposition model to obtain the sound pressure predicted values of the multi-stage compressor units.
The foregoing mentions that sound pressures cannot be directly added, and that predicted sound pressure values of a plurality of single-stage compressor groups need to be input to a superposition model:and obtaining the sound pressure predicted value of the multistage compressor unit.
Further, as a refinement and extension of the embodiment of fig. 1, to fully describe the implementation procedure of this embodiment, this embodiment further provides a method for generating a compressor noise prediction model, as shown in fig. 3, where the method includes:
301. and collecting a noise test result of the multistage compressor unit in an operating state.
In the embodiment of the present application, when constructing the pre-model, data of a large number of existing multi-stage compressor sets needs to be collected, where the data at least includes: and the related information of the multi-stage compressor unit and the noise test result under the running state. Using the collected data, correlation equations, such as equations for the overall absorption power and polytropic efficiency of the compressor, equations for the impeller diameter and rotational speed, equations for the minimum casing thickness, and corrections are constructed, it being understood that these constructed equations are initial conditions and require further verification. In collecting the noise test results, noise tests at different positions, for example, 1m or 1.5m from the casing, may be performed around the same compressor. It should be explained that the method for collecting the noise test result is a widely used prior art, that is, the noise tester is used to measure the compressor unit in the running state on site, and the measurement layout is shown in fig. 4.
302. And inputting the related information of the multi-group multi-stage compressor units and the noise test result into an initial model for trial calculation, and determining the contribution coefficients of the initial model in different prediction dimensions.
The collected noise test results of a plurality of groups of compressor units at different positions and relevant information of the compressor units are input into an initial prediction model, so that contribution coefficients of different dimensions of the initial model can be obtained, each position corresponds to one group of contribution coefficients, for example, the noise test results collected at a position 1m away from a shell are subjected to trial calculation to obtain the contribution coefficients, a prediction model is constructed by using the contribution coefficients, relevant information of the compressor units is input into the prediction model, and the obtained sound pressure predicted value, namely the sound pressure predicted value of the compressor units at the position 1m away from the shell; for example, the noise test result collected at the position 1.5m away from the shell is subjected to trial calculation to obtain a contribution coefficient, a prediction model is constructed by utilizing the contribution coefficient, relevant information of the compressor unit is input into the prediction model, and the obtained sound pressure predicted value, namely the sound pressure predicted value of the compressor unit at the position 1.5m away from the shell, can be specifically collected according to the sound pressure collection position of the actual scene requirement, and the contribution coefficient is subjected to trial calculation, so that the prediction model aiming at different collection positions is constructed.
303. And constructing a prediction model by using the contribution coefficients of the initial model in different prediction dimensions.
It can be understood that the contribution coefficients and correction values of different dimensions can be obtained through trial calculation for a plurality of times by utilizing a large amount of collected data, and further, the prediction model is constructed by utilizing the contribution coefficients, the correlation equation and the correction values.
Further, as a refinement and expansion of the embodiment of fig. 3, to fully describe the implementation process of this embodiment, this embodiment further provides a method for determining a contribution coefficient in a noise prediction model of a compressor, as shown in fig. 5, where the method includes:
401. and respectively inputting the related information of the single-stage compressor units into an initial model to obtain sound pressure test values of the single-stage compressor units.
Relevant information of each set of single-stage compressor units is input to the prediction model separately, for example, a first set of single-stage compressor unit information: the shaft power is 15168kw, the rotation speed is 5370rmp, the blade number is 13, the impeller diameter is 1165mm, the impeller polytropic efficiency is 83.1%, the minimum casing thickness is 40mm, and the contribution value of each part of the single-stage compressor unit, such as the power contribution value, the rotor rotation speed contribution value, the casing contribution value and the like, can be obtained by inputting the values into a prediction model. And obtaining the sound pressure predicted value of the first group of single-stage compressor units by summarizing the contribution values of all the parts. Similarly, the contribution values of other three single-stage compressor units can be obtained.
402. And calculating test value errors formed by sound pressure test values of the plurality of single-stage compressor units and the noise test results.
And when the initial model is verified, using a noise tester to perform noise test on the compressor unit in the running state in the dimension, and recording a noise test result. And inputting the collected related information of the compressor unit into an initial model to obtain a sound pressure predicted value, and calculating an error value of the two.
403. And performing trial calculation on the initial model by using the test value error, and determining contribution coefficients of the initial model in different prediction dimensions.
It can be understood that the predicted sound pressure value obtained in this embodiment has a certain error, and the predicted sound pressure value will also change by changing the contribution coefficient, so when determining the contribution coefficient, it is necessary to perform trial calculation on the initial model by using the error of the test value.
Further, as a refinement and extension of the embodiment of fig. 3, to fully describe the implementation process of this embodiment, this embodiment further provides another method for determining a contribution coefficient in a noise prediction model of a compressor, as shown in fig. 6, where the method further includes:
501. and judging whether the test error value is in a preset numerical range or not.
As mentioned above, the predicted sound pressure value obtained in this embodiment has a certain error, and the predicted sound pressure value is also changed by changing the contribution coefficient, so that when determining the contribution coefficient, a preset error range, for example, an error of 5dB or less, is required. And judging whether the test error value is less than or equal to 5dB, so as to verify whether the contribution coefficients of different dimensions are accurate.
502. If not, the contribution coefficients of the initial model in different prediction dimensions are adjusted so that the test error value is in the preset numerical range.
It can be understood that when the test error value is greater than 5dB during the verification of the initial model, the contribution coefficient obtained by the description does not meet the requirement, and at this time, the contribution coefficient needs to be calculated again on the initial model by using the related information of the compressor unit and the noise test value, and the contribution coefficient is adjusted until the test error value is less than or equal to 5dB.
503. And determining the contribution coefficients of the test error values in different prediction dimensions corresponding to the preset numerical range as the contribution coefficients of the initial model in different prediction dimensions.
And when the test error value is in the preset error value range, obtaining a sound pressure predicted value by adopting a group of contribution coefficients at the moment.
Further, as a refinement and expansion of the embodiment of fig. 1, to fully describe the implementation process of this embodiment, this embodiment further provides an implementation scenario of a method for predicting compressor noise, where the unit is derived from an existing multi-stage compressor unit, and the steps include:
601. information is determined about a multi-stage compressor package including a plurality of single-stage compressor packages.
Firstly, determining relevant information of a unit, and recording relevant information of the unit by a specification equipped in factory production, wherein the unit is a single-cylinder four-stage impeller, the shaft power is 15168kw, the rotating speed is 5370rmp, the number of blades of the four-stage impeller is 13, 17 and 17 respectively, the diameters of the impellers are 1165mm, 1000mm and 1000mm respectively, the polytropic efficiency of the four-stage impeller is 83.1%, 83.5%, 85.3% and 85.9% respectively, and the minimum shell thickness is 40mm.
602. And respectively inputting the related information of the single-stage compressor units into a prediction model to obtain sound pressure predicted values of the single-stage compressor units.
The implementation scene utilizes LabVIEW software to compile an implementation applet of the noise prediction method, and the implementation applet is installed on a terminal capable of running a computer program, such as a mobile phone, a computer and the like.
Information relating to a first set of single stage compressor units: the shaft power is 15168kw, the rotating speed is 5370rmp, the blade number is 13, the impeller diameter is 1165mm, the impeller polytropic efficiency is 83.1%, the minimum shell thickness is 40mm, and the contribution value of each part of the single-stage compressor unit can be obtained by inputting the minimum shell thickness into a small program, wherein the power contribution value is-3.6 dB, the rotor rotating speed contribution value is 4.0dB, the shell contribution value is 16.3dB, the blade passing frequency is 1163.5Hz, the rotating speed frequency is 89.5Hz and the sound pressure value is 100.7. Similarly, the contribution values of other three single-stage compressor units can be obtained. As shown in fig. 7-10.
603. And inputting the sound pressure predicted values of the single-stage compressor units into a superposition model to obtain the sound pressure predicted values of the multi-stage compressor units.
Noise prediction values for four groups of single-stage compressors: 100.7dB, 97.9dB and 97.3dB/97.1dB are input into the superposition model to obtain the total sound pressure value 104.535dB of the multistage compressor unit. As shown in fig. 11.
By comparing the data, the noise predictive value of the group of single-stage compressors of 13 blades can be seen to be the largest, the contribution to the total noise predictive value is the largest, and the noise source can be optimized.
Further, as a specific implementation of the method of fig. 1, an embodiment of the present application provides a device for predicting noise of a compressor, as shown in fig. 12, where the device includes: a determining unit 71, a predicting unit 72, a calculating unit 73.
A determining unit 71 for determining information about a multi-stage compressor unit including a plurality of single-stage compressor units;
a prediction unit 72, configured to input relevant information of the plurality of single-stage compressor units to a prediction model, to obtain sound pressure predicted values of the plurality of single-stage compressor units;
and the calculating unit 73 is configured to input the sound pressure predicted values of the plurality of single-stage compressor units to the superposition model, so as to obtain the sound pressure predicted values of the multi-stage compressor units.
Compared with the prior art that a plurality of measuring points are arranged around a compressor in an operation state, and noise tests are carried out on the measuring points by using a noise tester, and then weighting processing is carried out on test values, the prediction device for the compressor noise is characterized in that the related information of a multi-stage compressor unit is determined, and the multi-stage compressor unit comprises a plurality of single-stage compressor units; respectively inputting the related information of the single-stage compressor units into a prediction model to obtain sound pressure predicted values of the single-stage compressor units; and inputting the sound pressure predicted values of the single-stage compressor units into a superposition model to obtain the sound pressure predicted values of the multi-stage compressor units. The predicted sound pressure value of the compressor unit can be obtained without measuring the compressor unit in the running state in the field, and the method can be used for rapidly analyzing the amplitude, the components and the sources of noise and also can be applied to the optimization design stage of the compressor unit.
In a specific application scenario, as shown in fig. 13, the apparatus further includes:
the collecting unit 74 is configured to collect a noise test result of the multi-stage compressor unit in an operation state before the relevant information of the plurality of single-stage compressor units is input to the prediction model to obtain sound pressure predicted values of the plurality of single-stage compressor units;
a trial calculation unit 75, configured to input relevant information of the multi-stage compressor unit and the noise test result into an initial model for trial calculation, and determine contribution coefficients of the initial model in different prediction dimensions, where the contribution coefficients at least include a power contribution coefficient, a rotor rotation speed contribution coefficient, a casing contribution coefficient, a complete machine correction value, and a casing thickness correction value;
a construction unit 76 for constructing a prediction model using the contribution coefficients of the initial model in different prediction dimensions.
In a specific application scenario, as shown in fig. 13, the trial calculation unit 75 includes:
the test module 751 is used for inputting the related information of the single-stage compressor units into the initial model to obtain sound pressure test values of the single-stage compressor units;
a first calculating module 752, configured to calculate a test value error formed by the sound pressure test values of the plurality of single-stage compressor units and the noise test result;
and the trial calculation module 753 is used for carrying out trial calculation on the initial model by utilizing the test value error and determining the contribution coefficients of the initial model in different prediction dimensions.
In a specific application scenario, as shown in fig. 13, the trial calculation module 753 includes:
a judging submodule 7531, configured to judge whether the test error value is in a preset numerical range;
an adjustment submodule 7532, configured to adjust, if not, contribution coefficients of the initial model in different prediction dimensions so that the test error value is in the preset numerical range;
and the determining submodule 7533 is used for determining the contribution coefficients of the test error value in different prediction dimensions corresponding to the preset numerical range as the contribution coefficients of the initial model in different prediction dimensions.
In a specific application scenario, as shown in fig. 13, the prediction unit 72 includes:
a second calculation module 721, configured to input relevant information of the plurality of single-stage compressor units to a prediction model, and calculate contribution values of the plurality of single-stage compressor units in different prediction dimensions;
and the summarizing module 722 is configured to summarize contribution values of the plurality of single-stage compressor units in different prediction dimensions, so as to obtain sound pressure prediction values of the plurality of single-stage compressor units.
In a specific application scenario, as shown in fig. 13, the apparatus further includes:
and the processing unit 77 is configured to, after the relevant information of the plurality of single-stage compressor units is input to the prediction model to obtain sound pressure predicted values of the plurality of single-stage compressor units, query the sound pressure predicted values of the plurality of single-stage compressor units, and perform noise reduction processing on the main noise source by using the single-stage compressor unit with the largest sound pressure predicted value as the main noise source.
It should be noted that, other corresponding descriptions of each functional unit related to the prediction apparatus of compressor noise provided in this embodiment may refer to corresponding descriptions in fig. 1, and are not described herein again.
From the above description of the embodiments, it will be apparent to those skilled in the art that the present application may be implemented by means of software plus necessary general hardware platforms, or may be implemented by hardware. By applying the technical scheme, compared with the current existing mode, the method and the device have the advantages that the related information of the multi-stage compressor unit is determined, and the multi-stage compressor unit comprises a plurality of single-stage compressor units; respectively inputting the related information of the single-stage compressor units into a prediction model to obtain sound pressure predicted values of the single-stage compressor units; and inputting the sound pressure predicted values of the single-stage compressor units into a superposition model to obtain the sound pressure predicted values of the multi-stage compressor units. According to the method, the compressor unit in the running state is not required to be measured in the field, the predicted sound pressure value of the compressor unit can be obtained, the amplitude, the components and the sources of noise can be rapidly analyzed, and the method can be also applied to the optimization design stage of the compressor unit.
Those skilled in the art will appreciate that the drawings are merely schematic illustrations of one preferred implementation scenario, and that the modules or flows in the drawings are not necessarily required to practice the present application. Those skilled in the art will appreciate that modules in an apparatus in an implementation scenario may be distributed in an apparatus in an implementation scenario according to an implementation scenario description, or that corresponding changes may be located in one or more apparatuses different from the implementation scenario. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The foregoing application serial numbers are merely for description, and do not represent advantages or disadvantages of the implementation scenario. The foregoing disclosure is merely a few specific implementations of the present application, but the present application is not limited thereto and any variations that can be considered by a person skilled in the art shall fall within the protection scope of the present application.
Claims (10)
1. A method for predicting compressor noise, comprising:
determining relevant information of a multi-stage compressor unit, wherein the multi-stage compressor unit comprises a plurality of single-stage compressor units, and the relevant information at least comprises shaft power, rotating speed, polytropic efficiency of each stage of impeller, impeller diameter, impeller blade number and minimum shell thickness of the unit;
and respectively inputting the related information of the single-stage compressor units into a prediction model to obtain sound pressure predicted values of the single-stage compressor units, wherein the prediction model has the following formula:
wherein,for sound pressure predictive value, +.>、/>、/>Contribution coefficients for compressor groups in different prediction dimensions, +.>For the equation about the overall absorption power and polytropic efficiency of the compressor +.>As an equation for the impeller diameter and rotational speed,as an equation for minimum chassis thickness +.>For the correction value of the whole machine, < > for>Is a corrected value of the thickness of the shell;
the sound pressure predicted values of the single-stage compressor units are input into a superposition model to obtain sound pressure predicted values of the multi-stage compressor units, and the superposition model has the following formula:
；
wherein,for the sound pressure prediction value of the multistage compressor unit, +.>、/>、…、/>N is a positive integer for a plurality of sound pressure predicted values.
2. The method according to claim 1, wherein said determining information about the multi-stage compressor group comprises:
and setting a multi-stage compressor unit according to the user demand, and determining the related information of the multi-stage compressor unit.
3. The method of claim 1, wherein before the inputting of the information about the plurality of single-stage compressor units to the prediction model to obtain the sound pressure predicted values of the plurality of single-stage compressor units, the method further comprises:
collecting a noise test result of the multistage compressor unit in an operation state;
inputting the related information of the multi-group multi-stage compressor unit and the noise test result into an initial model for trial calculation, and determining contribution coefficients of the initial model in different prediction dimensions, wherein the contribution coefficients at least comprise a power contribution coefficient, a rotor rotating speed contribution coefficient, a shell contribution coefficient, a complete machine correction value and a shell thickness correction value;
and constructing a prediction model by using the contribution coefficients of the initial model in different prediction dimensions.
4. The method of claim 3, wherein inputting the related information of the plurality of groups of multi-stage compressor units and the noise test result into an initial model for trial calculation, and determining the contribution coefficients of the initial model in different prediction dimensions specifically comprises:
respectively inputting the related information of the single-stage compressor units into an initial model to obtain sound pressure test values of the single-stage compressor units;
calculating test value errors formed by sound pressure test values of the plurality of single-stage compressor units and the noise test results;
and performing trial calculation on the initial model by using the test value error, and determining contribution coefficients of the initial model in different prediction dimensions.
5. The method according to claim 4, wherein the calculating the initial model by using the test value error, and determining the contribution coefficients of the initial model in different prediction dimensions, specifically comprises:
judging whether the test error value is in a preset numerical range or not;
if not, adjusting the contribution coefficients of the initial model in different prediction dimensions so that the test error value is in the preset numerical range;
and determining the contribution coefficients of the test error values in different prediction dimensions corresponding to the preset numerical range as the contribution coefficients of the initial model in different prediction dimensions.
6. The method according to any one of claims 1 to 5, wherein the inputting the relevant information of the plurality of single-stage compressor units into the prediction model to obtain the sound pressure predicted values of the plurality of single-stage compressor units specifically includes:
respectively inputting the related information of the single-stage compressor units into a prediction model, and calculating the contribution values of the single-stage compressor units in different prediction dimensions;
and summarizing the contribution values of the single-stage compressor units in different prediction dimensions to obtain sound pressure prediction values of the single-stage compressor units.
7. The method according to any one of claims 1 to 5, further comprising, after the inputting of the information about the plurality of single-stage compressor units to the prediction model, respectively, obtaining sound pressure predicted values of the plurality of single-stage compressor units:
and inquiring sound pressure predicted values of the single-stage compressor units, taking the single-stage compressor unit with the largest sound pressure predicted value as a main noise source, and carrying out noise reduction treatment on the main noise source.
8. A compressor noise prediction apparatus, comprising:
a determining unit configured to determine information about a multi-stage compressor unit including a plurality of single-stage compressor units, the information including at least a shaft power, a rotational speed, a polytropic efficiency of each stage impeller, an impeller diameter, a number of impeller blades, and a minimum casing thickness of the unit;
the prediction unit is used for respectively inputting the related information of the single-stage compressor units into a prediction model to obtain sound pressure predicted values of the single-stage compressor units, and the prediction model has the following formula:
wherein,for sound pressure predictive value, +.>、/>、/>Contribution coefficients for compressor groups in different prediction dimensions, +.>For the equation about the overall absorption power and polytropic efficiency of the compressor +.>As an equation for the impeller diameter and rotational speed,as an equation for minimum chassis thickness +.>For the correction value of the whole machine, < > for>Is a corrected value of the thickness of the shell;
the calculation unit is used for inputting the sound pressure predicted values of the single-stage compressor units into the superposition model to obtain the sound pressure predicted values of the multi-stage compressor units, and the superposition model has the following formula:
；
wherein,for the sound pressure prediction value of the multistage compressor unit, +.>、/>、…、/>N is a positive integer for a plurality of sound pressure predicted values.
9. The apparatus according to claim 8, wherein the determining unit is specifically configured to set the multi-stage compressor unit according to a user requirement, and determine the relevant information of the multi-stage compressor unit.
10. The apparatus of claim 8, wherein the apparatus further comprises:
the acquisition unit is used for acquiring a noise test result of the multistage compressor unit in an operation state before the related information of the plurality of single-stage compressor units is input to the prediction model to obtain sound pressure predicted values of the plurality of single-stage compressor units;
the trial calculation unit is used for inputting the related information of the multi-stage compressor unit and the noise test result into an initial model for trial calculation, and determining contribution coefficients of the initial model in different prediction dimensions, wherein the contribution coefficients at least comprise a power contribution coefficient, a rotor rotating speed contribution coefficient, a shell contribution coefficient, a complete machine correction value and a shell thickness correction value;
and the construction unit is used for constructing a prediction model by utilizing the contribution coefficients of the initial model in different prediction dimensions.
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| CN104964738A (en) * | 2015-06-10 | 2015-10-07 | 国家电网公司 | Noise separation-based power transformer noise assessment method |
| CN111126651A (en) * | 2018-10-31 | 2020-05-08 | 北京金风科创风电设备有限公司 | Wind power plant noise prediction method, device and system |
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| CN104964738A (en) * | 2015-06-10 | 2015-10-07 | 国家电网公司 | Noise separation-based power transformer noise assessment method |
| CN111126651A (en) * | 2018-10-31 | 2020-05-08 | 北京金风科创风电设备有限公司 | Wind power plant noise prediction method, device and system |
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