Iron core noise control method, device, equipment and medium

Abstract

The application discloses a core noise control method, device, equipment and medium, and relates to the technical field of transformers. The method comprises the following steps: obtaining noise influence parameters related to core noise and a target noise value in an initial production strategy; determining a first predicted noise value corresponding to the core based on the noise influence parameters and a preset core noise prediction strategy; adjusting the production strategy until the first predicted noise value is less than or equal to the target noise value, and obtaining a target core based on the adjusted production strategy; performing noise testing on the target core based on a preset core noise testing strategy; and adjusting the production strategy until a test noise value corresponding to a test result of the noise testing is less than or equal to the target noise value. The application is used to solve the problem of low accuracy in each process of core noise control in the prior art, and realizes standard control of core noise by improving the accuracy of the core noise control process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of transformers, and in particular to a core noise control method, device, equipment and medium. BACKGROUND

[0002] With the increasing attention of terminal users to transformer noise and the increasing requirement of noise, the noise limit of the transformer is becoming lower and lower. Among them, the core noise is the main source of transformer noise, and controlling the core noise is an important method to control the transformer noise. However, due to the complexity of the core vibration noise mechanism and the immaturity of the noise control measures, the core noise cannot be controlled up to the standard at present.

[0003] In the prior art, the factors that cannot achieve the standard control of the core include: 1. There is no systematic method for controlling the core noise up to the standard; 2. The core noise prediction method does not consider all factors, and the prediction accuracy is low; 3. The key processes and key factors affecting noise in the core production process are not clear, and the core noise cannot be effectively controlled in the production process; 4. Due to the difference in test environment and test method between the transformer end and the core production mechanism, the regularity of the test results obtained in different environments is not strong, and there is obvious difference between the test results of the two parties; etc. SUMMARY

[0004] The applicant proposes a core noise control method, device, equipment and medium to solve the problem of low accuracy in the process of core noise control in the prior art, and to realize the standard control of core noise by improving the accuracy of the core noise control process.

[0005] The embodiment of the present application provides a core noise control method, comprising:

[0006] Obtaining noise influence parameters related to core noise and target noise values in an initial production strategy;

[0007] Determining a first predicted noise value corresponding to the core based on the noise influence parameters and a preset core noise prediction strategy;

[0008] Adjusting the production strategy until the first predicted noise value is less than or equal to the target noise value, and obtaining a target core based on the adjusted production strategy;

[0009] Performing noise testing on the target core based on a preset core noise testing strategy;

[0010] Adjusting the production strategy until the test noise value corresponding to the test result of the noise testing is less than or equal to the target noise value, wherein the core noise testing strategy is obtained based on the use requirement of the transformer end.

[0011] According to an embodiment of the core noise control method, the initial production strategy includes a preset production process and a preset production procedure.

[0012] The production strategy is adjusted until the first predicted noise value is less than or equal to the target noise value, including:

[0013] The first predicted noise value and the target noise value are compared.

[0014] In a case where the first predicted noise value is greater than the target noise value, a target noise reduction value is determined, a target production process and a target production procedure corresponding to the target noise reduction value are determined, a new first predicted noise value based on the target production process and the target production procedure is obtained, and the step of comparing the first predicted noise value and the target noise value is performed until the first predicted noise value is less than or equal to the target noise value.

[0015] According to an embodiment of the core noise control method, in a case where the first predicted noise value is greater than the target noise value, a target noise reduction value is determined, including:

[0016] A noise difference value of the first predicted noise value and the target noise value is calculated.

[0017] Based on a preset correspondence between a difference value and a noise reduction value, a target noise reduction value corresponding to the noise difference value is determined.

[0018] According to an embodiment of the core noise control method, the target production process and the target production procedure corresponding to the target noise reduction value are determined, including:

[0019] A noise reduction strategy corresponding to the target noise reduction value is generated.

[0020] Based on the noise reduction strategy, the preset production process and the preset production procedure are updated.

[0021] The updated production process and the updated production procedure are determined as the target production process and the target production procedure.

[0022] According to an embodiment of the core noise control method, based on a preset core noise test strategy, noise testing is performed on the target core until a test result corresponding to a test noise value of the noise testing is less than or equal to the target noise value, including:

[0023] The noise prediction process on the transformer side for the target core is as follows:

[0024] obtaining a second predicted noise value corresponding to the target core at the transformer end; and in a case where the second predicted noise value is less than or equal to the target noise value, performing a noise test process on the target core at the transformer end.

[0025] The noise test process on the target core at the transformer end is as follows:

[0026] obtaining a test noise value corresponding to the target core at the transformer end;

[0027] In a case where the test noise value is less than or equal to the target noise value, determining that the core noise of the target core is qualified.

[0028] According to an embodiment of the core noise control method, before the obtaining of the second predicted noise value corresponding to the target core at the transformer end, the method further comprises:

[0029] obtaining a real noise value corresponding to the target core;

[0030] The obtaining of the second predicted noise value corresponding to the target core at the transformer end comprises:

[0031] determining an environmental influence value corresponding to the target core at the transformer end;

[0032] obtaining the second predicted noise value based on the real noise value and the environmental influence value.

[0033] According to an embodiment of the core noise control method, the determining of the first predicted noise value corresponding to the core based on the noise influence parameter and a preset core noise prediction strategy comprises:

[0034] inputting a parameter value corresponding to the noise influence parameter into a preset core noise prediction formula to obtain the first predicted noise value output by the core noise prediction formula.

[0035] The embodiments of the present application further provide a core noise control device, comprising:

[0036] an obtaining module configured to obtain a noise influence parameter related to core noise and a target noise value in an initial production strategy;

[0037] a determining module configured to determine a first predicted noise value corresponding to a core based on the noise influence parameter and a preset core noise prediction strategy;

[0038] a first adjusting module configured to adjust the production strategy until the first predicted noise value is less than or equal to the target noise value, and obtain a target core based on the adjusted production strategy.

[0039] a test module configured to perform a noise test on the target core based on a preset core noise test strategy;

[0040] a second adjustment module configured to adjust the production strategy until a test noise value corresponding to a test result of the noise test is less than or equal to the target noise value, wherein the core noise test strategy is obtained based on a use requirement of a transformer end.

[0041] The embodiments of the present application further provide an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the steps of the core noise control method according to any one of the above embodiments when running the program.

[0042] The embodiments of the present application further provide a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the core noise control method according to any one of the above embodiments.

[0043] The core noise control method, device, equipment and medium provided by the embodiments of the present application, by obtaining the noise influence parameter related to the core noise in the initial production strategy and the core noise prediction strategy, obtaining the first predicted noise value of the core, the present application can affect the core noise by the noise influence parameter related to the core noise to predict the core noise, improve the accuracy of the predicted noise value; and based on the obtained target noise value and the first predicted noise value, the production strategy is adjusted, that is, the production strategy matched therewith is determined and the production and manufacturing of the target core are performed, so that the noise of the target core is effectively controlled in the production process; further, the core noise test strategy obtained based on the use requirement of the transformer end is used to test the noise of the target core until the core noise of the target core meets the standard, that is, the test noise value of the target core is less than or equal to the target noise value, it can be seen that the present application controls the core noise in multiple ways to improve the accuracy of the core noise control in each process, and realizes the standard control of the core noise. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0045] Figure 1 is one of the flowcharts of the core noise control method provided by the embodiments of the present application;

[0046] Figure 2Fig. 2 is a flowchart of a second embodiment of a core noise control method provided by the present application;

[0047] Figure 3 Fig. 3 is a structural diagram of a core noise control device provided by the present application;

[0048] Figure 4 Fig. 4 is a structural diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0049] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0050] The specific embodiments of the present application will be further described below with reference to the drawings.

[0051] The present application provides a core noise control method. Some other descriptions in the embodiments of the present application are for example illustration and do not limit the protection scope of the present application, and then will not be described one by one. The specific implementation of the method is as shown in Fig. 1: Figure 1

[0052] In step 101, noise influence parameters and target noise values related to core noise in an initial production strategy are obtained.

[0053] The noise influence parameters include magnetic flux density B, lamination thickness t, excitation frequency f, clamping force P, weight G, magnetostriction coefficient ε, window height h and center distance M0.

[0054] Specifically, the specific implementation of determining the noise influence parameters includes:

[0055] ​According to the vibration noise mechanism of the core, the key parameters (which can be understood as initial noise influence parameters) affecting the core noise are determined. The core noise is generated by the electromagnetic force between the silicon steel sheets after excitation, the Lorentz force caused by the eddy current between the joints, and the vibration caused by the magnetostriction of the silicon steel sheets. According to the vibration mechanism of the vibration system of the core, the factors affecting the vibration include: excitation force and excitation frequency, mass and equivalent elastic modulus of the vibration system, damping of the vibration system, and structural resonance frequency. The core noise is also related to the structural parameters such as window height, center distance, core weight, etc. The key parameters affecting the core noise currently identified include: magnetic flux density B, interlaminar gap d, lamination thickness t, step amount d0, step number n, excitation frequency f, internal stress δ of the silicon steel sheet, equivalent elastic modulus E of the lamination direction of the core, resonance frequency f0, weight G, magnetostriction coefficient ε, window height h, center distance M0, and damping ζ.

[0056] Based on the production control, the research degree, the quantifiable feasibility, and the quantifiable key factors (i.e. noise influence parameters) affecting the normal core noise include: magnetic flux density B, lamination thickness t, excitation frequency f, clamping force P, weight G, magnetostriction coefficient ε, window height h, and center distance M0.

[0057] Specifically, the specific implementation of obtaining the noise influence parameters and the target noise value in the initial production strategy includes:

[0058] The core design drawing is obtained, and the noise influence parameters and the target noise value are obtained by identifying the design information in the core design drawing. Of course, the noise influence parameters and the target noise value can also be directly obtained.

[0059] The initial production strategy includes: core design drawing, preset production process, and preset production procedure, etc.

[0060] In step 102, based on the noise influence parameters and the preset core noise prediction strategy, the first predicted noise value corresponding to the core is determined.

[0061] In step 103, the production strategy is adjusted until the first predicted noise value is less than or equal to the target noise value, and the target core is obtained based on the adjusted production strategy.

[0062] In step 104, the target core is tested for noise based on the preset core noise test strategy.

[0063] In step 105, the production strategy is adjusted until the test noise value corresponding to the test result of the noise test is less than or equal to the target noise value.

[0064] The core noise test strategy is obtained based on the use requirements of the transformer end.

[0065] The core noise control method provided by the embodiment of the application, by obtaining the noise influence parameter related to the core noise in the initial production strategy and the core noise prediction strategy, obtains the first predicted noise value of the core, and the application can affect the noise influence parameter of the core noise to predict the core noise, improve the accuracy of the predicted noise value; and based on the obtained target noise value and the first predicted noise value, the production strategy is adjusted, that is, the production strategy matched therewith is determined and the production and manufacturing of the target core are performed, so that the noise of the target core is effectively controlled in the production process; further, the core noise test strategy based on the use requirement of the transformer end is used to test the noise of the target core until the core noise of the target core reaches the standard, that is, the test noise value of the target core is less than or equal to the target noise value, and it can be seen that the application controls the core noise multiple times to improve the accuracy of the core noise control in each process, and realizes the standard control of the core noise.

[0066] In one specific embodiment, based on the noise influence parameter and the preset core noise prediction strategy, the specific implementation of determining the first predicted noise value corresponding to the core includes:

[0067] The parameter value corresponding to the noise influence parameter is input into the preset core noise prediction formula to obtain the first predicted noise value output by the core noise prediction formula.

[0068] Specifically, the core noise prediction formula is shown in formula (1):

[0069]

[0070] Wherein, L PA represents the first predicted noise value, represents the average value of the first predicted noise value, A1, A2, A3, A4, A5, A6, A7 are coefficients, which are constants, G represents the weight of the core, B represents the magnetic density, f represents the excitation frequency, ε represents the magnetostriction coefficient, h represents the window height, M0 represents the center distance, t represents the stack thickness, P represents the clamping force, and A0 is a variable.

[0071] Specifically, the variable A0 is obtained by the method of regression analysis on the noise influence parameter and the noise value corresponding to the parameter value by batch testing the noise value at 1m of the core. Further, when predicting the noise value of the core, the variable A0 and the parameter value of the noise influence parameter are input into formula (1) to obtain the first predicted noise value at 1m of the core.

[0072] Specifically, there is a deviation between the core predicted noise and the actual measured noise collected by batch core noise testing, so formula (1) needs to be corrected, which can be corrected by the maximum deviation. For example, the maximum deviation value in the batch test process is determined, and the deviation value is fused on A0.

[0073] The modified core noise prediction formula is shown in formula (2):

[0074]

[0075]

[0076] wherein A'0 is a modified variable.

[0077] Specifically, the parameter value corresponding to the noise influence parameter can be input into formula (2) to obtain the first predicted noise value output by formula (2), and formula (2) is the preset core noise prediction formula at this time.

[0078] The present application can quickly and accurately obtain the first predicted noise value of the core corresponding to the parameter value of the noise influence parameter by directly inputting the parameter value of the noise influence parameter into the pre-determined core noise prediction formula.

[0079] In one specific embodiment, based on the target noise value and the first predicted noise value, the production strategy of the core is determined, that is, the production strategy is adjusted until the first predicted noise value is less than or equal to the target noise value, and the specific implementation includes:

[0080] The first predicted noise value and the target noise value are compared; in the case where it is determined that the first predicted noise value is less than or equal to the target noise value, the preset production process and the preset production procedure are determined as the production strategy of the core without adjustment; in the case where it is determined that the first predicted noise value is greater than the target noise value, the target noise reduction value is determined; the target production process and the target production procedure corresponding to the target noise reduction value are determined; the new first predicted noise value obtained based on the target production process and the target production procedure is obtained, and the step of comparing the first predicted noise value and the target noise value is executed until the first predicted noise value is less than or equal to the target noise value.

[0081] Specifically, the first predicted noise value and the target noise value are compared; in the case where it is determined that the first predicted noise value is less than or equal to the target noise value, it is determined that the existing preset production process can meet the core noise requirement at this time, and the preset production process and the preset production procedure can be directly used as the production strategy of the core; in the case where it is determined that the first predicted noise value is greater than the target noise value, it is determined that the existing preset production process cannot meet the core noise requirement at this time, and noise reduction processing of the core is required, and then the target noise reduction value of the core is determined, the target production process and the target production procedure corresponding to the target noise reduction value are determined (that is, the target production process and the target production procedure are obtained by updating the preset production process and the preset production procedure based on the target noise reduction value); the target production process and the target production procedure are determined as the production strategy of the core.

[0082] The application determines the production strategy of the iron core through the comparison result of the first predicted noise value and the target noise value, and provides an effective data basis for subsequent noise standardization of the produced iron core.

[0083] In one embodiment, when it is determined that the first predicted noise value is greater than the target noise value, the specific implementation of determining the target noise reduction value includes:

[0084] The noise difference value between the first predicted noise value and the target noise value is calculated, and based on the preset corresponding relationship between the difference value and the noise reduction value, the target noise reduction value corresponding to the noise difference value is determined.

[0085] Specifically, the corresponding relationship between the difference value and the noise reduction value is created in advance, which can be displayed in the form of a table or a data dictionary, and the user can set it according to actual needs, which is not limited by the application.

[0086] Specifically, when it is determined that the first predicted noise value is greater than the target noise value, the noise difference value between the first predicted noise value and the target noise value is calculated, and the corresponding target noise value corresponding to the noise difference value is determined using the corresponding relationship.

[0087] The noise difference value can be equal to the target noise value, or a plurality of noise difference values within a specified range can correspond to one target noise value, and the user can set it according to actual needs. For example, the target noise value = the first predicted noise value - the target noise value.

[0088] Specifically, for the case that the first predicted noise value is less than or equal to the target noise value, the target noise reduction value can also be determined, and in this case the target noise reduction value is zero, that is, no noise reduction is needed.

[0089] In the case that the first predicted noise value is greater than the target noise value (i.e., the target noise reduction value is greater than zero), the target noise reduction value is determined to make the noise of the iron core reach the target noise value, which provides an effective data basis for subsequent noise standardization of the produced iron core.

[0090] In one embodiment, the specific implementation of determining the target production process and the target production procedure corresponding to the target noise reduction value includes:

[0091] A noise reduction strategy corresponding to the target noise reduction value is generated, the preset production process and the preset production procedure are updated based on the noise reduction strategy, and the updated production process and the updated production procedure are determined as the target production process and the target production procedure.

[0092] Specifically, different target noise reduction values correspond to different noise reduction strategies, and the same target noise reduction value can also correspond to multiple noise reduction strategies. A matching relationship between the target noise reduction value and the noise reduction strategy is created in advance, which can be displayed in the form of a table or a data dictionary. Users can set it according to their actual needs, and the present application does not make any restrictions. Then, the noise reduction strategy corresponding to the target noise reduction value is determined based on the matching relationship.

[0093] Specifically, the purpose of noise reduction can be achieved by utilizing the characteristics of the material, for example, by selecting the material to control the thickness and magnetostriction coefficient of the silicon steel sheet, etc. to reduce noise, and the noise reduction amount can reach 1-3dB; the purpose of noise reduction can also be achieved by clamping force, for example, by controlling the clamping force by controlling the bolt torque of the upper and lower yoke of the core, the binding force and binding spacing of the binding belt of the core column, and the noise reduction amount can reach 1-5dB; the purpose of noise reduction can also be achieved by vibration reduction, for example, by adding damping materials at the interlaminar or joint positions of the core, and adding damping pads to the base, and the noise reduction amount can reach 1-2dB; etc.

[0094] Specifically, if the target noise reduction value is less than or equal to 3dB, a single method can be selected for noise reduction, for example, by utilizing the characteristics of the material to achieve the purpose of noise reduction, or by clamping force to achieve the purpose of noise reduction, or by vibration reduction to achieve the purpose of noise reduction, etc.

[0095] Specifically, if the target noise reduction value is greater than 3dB, a single method or a combination method can be used for noise reduction. Among them, the single method noise reduction, for example, by utilizing the characteristics of the material to achieve the purpose of noise reduction, or by clamping force to achieve the purpose of noise reduction, etc. The combination method noise reduction, for example, by utilizing the characteristics of the material to achieve the purpose of noise reduction, and by clamping force to achieve the purpose of noise reduction; or by utilizing the characteristics of the material to achieve the purpose of noise reduction, and by vibration reduction to achieve the purpose of noise reduction; or by clamping force to achieve the purpose of noise reduction, and by vibration reduction to achieve the purpose of noise reduction; etc.

[0096] Specifically, after obtaining the final production process and production procedure, the core is produced. The production process of the core includes: selecting silicon steel sheet material, longitudinal cutting, transverse cutting, table setting, lamination, installing auxiliary components, transferring, assembling, turning over, painting, etc. During the production process of the core, the production of the core is carried out according to the final noise reduction strategy (i.e. the final production process and production procedure), for example, controlling the flatness of the silicon steel sheet and the clamping force during the lamination process, etc., and the execution of the noise reduction strategy is followed in real time to ensure that the noise reduction strategy is implemented during the production process of the core to achieve the noise reduction effect.

[0097] In one specific embodiment, the real noise value corresponding to the target core needs to be obtained.

[0098] The real noise value is obtained based on a preset test standard and a preset environment.

[0099] Specifically, the core noise test requirement of the application can be determined based on the GB / T1094.10-2022 “Power Transformers Part 10: Determination of Sound Level” standard. Specifically, a microphone is placed 1m away from the surface of the core for testing to obtain the noise value of the target core, which is affected by the environment.

[0100] Based on the GB / T 36075.2-2018 / ISO 3382-2:2008 “Acoustics - Room acoustic parameters of ordinary rooms - Part 2: Measurements of reverberation time” standard, the core noise test requirement of the application is determined. Specifically, the reverberation time of a quiet room is tested using the interrupted sound source method, and the reverberation time of sound in the frequency range of 50-10000Hz is obtained. The corrected noise value is obtained by correcting the frequency-specific noise sound pressure level value of the quiet room test according to the reverberation time or the sound absorption coefficient. The entire noise data processing flow from noise testing to noise data processing outputs the core noise standardized data processing file to directly obtain the corrected noise value (i.e., the real noise value) according to the frequency-specific data. This method eliminates the influence of factors that increase the noise test value due to background noise and reflected sound during the core noise test.

[0101] The user can determine the method of obtaining the real noise value according to the actual needs, and the application does not make any limitation.

[0102] In one specific embodiment, based on a preset core noise test strategy, the target core is tested for noise until the test result corresponds to a test noise value less than or equal to the target noise value, and the specific implementation includes:

[0103] The prediction process of the noise prediction of the target core at the transformer end is as follows:

[0104] Obtain the second predicted noise value corresponding to the target core at the transformer end; and in a case where the second predicted noise value is less than or equal to the target noise value, execute the step of performing the noise test process of the target core at the transformer end.

[0105] The test process of the noise test of the target core at the transformer end is as follows:

[0106] Obtain the test noise value corresponding to the target core at the transformer end;

[0107] In a case where the test noise value is less than or equal to the target noise value, determine that the core noise of the target core is qualified.

[0108] Specifically, the present application firstly performs noise prediction of the target core based on the transformer end environment, and only when the noise of the target core meets the standard (i.e., when the second predicted noise value is less than or equal to the target noise value), the noise test of the target core is performed at the transformer end until the noise of the target core meets the standard (i.e., when the test noise value is less than or equal to the target noise value).

[0109] Specifically, the noise prediction of the transformer end core needs to consider the use requirements of the transformer end.

[0110] Among them, one considers the actual use condition of the transformer, and the second predicted noise value of the transformer end core does not correct the reflected sound in the test environment. The core noise prediction value (the second predicted noise value) without correcting the environmental reflected sound is Another considers obtaining the real noise value of the transformer end core, and the second predicted noise value of the transformer end core needs to correct the influence of background and reflected sound. The noise prediction value (the second predicted noise value) of the transformer core correcting the background and reflected sound is

[0111] The predicted noise of the core in different test environments will be different due to different environmental reflection characteristics. According to the real noise value of the core body In the stability principle in different test environments, the second predicted noise value of the core without correcting the environmental reflected sound is This method needs to have a detailed understanding of the test environment of the core production end and the transformer production end, and can obtain the background noise and environmental reflection correction value K under the two test environments.

[0112] Among them, the second predicted noise value of the core without deducting the environmental reflected sound is The specific prediction method is as follows:

[0113] The calculation of the transformer end anechoic room volume is shown in formula (3):

[0114] V=L*W*H...................................................(3)

[0115] Wherein, V represents the volume of the transformer end anechoic room, L represents the length of the transformer end anechoic room, W represents the width of the transformer end anechoic room, and H represents the height of the transformer end anechoic room.

[0116] The determination of the sound absorption area in the transformer end anechoic room is shown in formula (4):

[0117]

[0118] Wherein, A represents the sound absorption area of the transformer end soundproof room, and T represents the reverberation time in the transformer end soundproof room.

[0119] The sound absorption area calculated by formula (3) and formula (4) can more accurately evaluate the sound absorption characteristics of the interior of the soundproof room, so as to accurately reflect the reflection performance of the room, and is a relatively accurate calculation method of the sound absorption area. However, it needs to be tested separately, and the operation is complex.

[0120] In order to solve the problem of complex operation of obtaining the reverberation time, the structure, material parameters and sound absorption coefficient of the sound absorption structure of the inner wall of the test room are collected. Specifically, the sound absorption coefficient of the commonly used sound absorption structure in the noise and vibration control engineering manual can be obtained by looking up the table.

[0121] Specifically, the sound absorption area is obtained by the product of the sound absorption coefficient and the area. This method can accurately reflect the reflection characteristics of a specific soundproof room to a certain extent. It is suitable for soundproof rooms using conventional sound absorption structures, and the sound absorption coefficient of the sound absorption structure can be obtained by looking up the table. The sound absorption area is calculated by using the recommended sound absorption coefficient of each surface in the national standard test room, and the calculation method of the sound absorption area is simple and easy to operate.

[0122] Specifically, the calculation method of the environmental reflection correction value is shown in formula (5):

[0123]

[0124] Wherein, K represents the environmental reflection correction value, A represents the sound absorption area in the room, and S represents the measurement surface area.

[0125] Specifically, the second predicted noise value of the core of the predicted uncorrected environmental reflection sound The calculation method is shown in formula (6):

[0126]

[0127] Wherein, The core noise prediction value (second predicted noise value) of the uncorrected environmental reflection sound, The true noise value, and K represents the environmental reflection correction value.

[0128] Specifically, the prediction method of the core noise test value (second predicted noise value) of the corrected background and reflection sound is as follows: The core noise test value of the core end soundproof room of different capacity and different structure before leaving the factory is obtained by batch noise test and space average weighting processing

[0129]

[0130] ​The transformer end completes batch noise testing of cores corresponding to different capacities and different structures to obtain corrected core noise data

[0131] The core end core test value (core noise measured value) and the transformer end background and corrected core noise value after reflection sound correction are collected to establish a core production end and transformer end predicted noise fitting formula.

[0132]

[0133] wherein represents the core noise measured value, represents the transformer end corrected background and reflection sound core noise predicted value, and a and b are constants.

[0134] The core noise test space average weighting weight is substituted into the formula to realize transformer end test data prediction.

[0135] wherein, is equivalent to

[0136] Specifically, after obtaining the second predicted noise value, the size relationship between the second predicted noise value and the target noise value is compared; in the case of determining that the second predicted noise value is less than or equal to the target noise value, the noise test of the target core is performed at the transformer end; in the case of determining that the second predicted noise value is greater than the target noise value, the steps of updating the preset production process and the preset production procedure according to the noise reduction strategy and the prediction operation of the target core at the transformer end are performed until the noise of the target core is suitable.

[0137] Specifically, after obtaining the test noise value based on the test operation at the transformer end, the size relationship between the test noise value and the target noise value is compared; in the case of determining that the test noise value is less than or equal to the target noise value, it is determined that the core noise of the target core is qualified; in the case of determining that the test noise value is greater than the target noise value, the steps of updating the preset production process and the preset production procedure according to the noise reduction strategy and the test operation of the target core at the transformer end are performed until the noise of the target core is suitable.

[0138] In one specific embodiment, the specific implementation of obtaining the second predicted noise value corresponding to the target core at the transformer end includes:

[0139] Determine the environmental influence value corresponding to the target core at the transformer end; based on the real noise value and the environmental influence value, obtain the second predicted noise value.

[0140] Wherein, the environmental influence value includes: environmental reflection correction value, room sound absorption area and measurement surface area, etc.

[0141] Next, by Figure 2This application will be described in detail as follows:

[0142] Step 201: Obtain the noise impact parameters and target noise value related to core noise.

[0143] Step 202: Input the parameter values ​​corresponding to the noise influence parameters into the core noise prediction formula to obtain the first predicted noise value.

[0144] Step 203: Compare the first predicted noise value and the target noise value. If the first predicted noise value is less than or equal to the target noise value, determine the preset production process and preset production steps as the core production strategy. If the first predicted noise value is greater than the target noise value, determine the target noise reduction value, determine the target production process and target production steps corresponding to the target noise reduction value, and determine the target production process and target production steps as the core production strategy.

[0145] Step 204: Generate and obtain the target iron core according to the final production strategy.

[0146] Step 205: Perform noise prediction of the target core at the transformer end to obtain the second predicted noise value.

[0147] Step 206: Determine whether the second predicted noise value is less than or equal to the target noise value. If yes, proceed to step 207; otherwise, proceed to step 203.

[0148] Step 207: Obtain the test noise value corresponding to the target iron core at the transformer end.

[0149] Step 208: Determine whether the test noise value is greater than the target noise value. If yes, proceed to step 203; otherwise, proceed to step 209.

[0150] Step 209: Determine if the noise level of the target iron core meets the standard.

[0151] This application also provides a core noise control device, such as... Figure 3 As shown, the device includes:

[0152] The acquisition module 301 is used to acquire the noise impact parameters and target noise values ​​related to core noise in the initial production strategy;

[0153] The determination module 302 is used to determine the first predicted noise value corresponding to the iron core based on the noise influence parameters and the preset iron core noise prediction strategy.

[0154] The first adjustment module 303 is used to adjust the production strategy until the first predicted noise value is less than or equal to the target noise value, and to obtain the target iron core based on the adjusted production strategy.

[0155] The test module 304 is configured to perform noise testing on the target core based on a preset core noise testing strategy.

[0156] The second adjustment module 305 is configured to adjust the production strategy until a test noise value corresponding to a test result of the noise testing is less than or equal to a target noise value, wherein the core noise testing strategy is based on a use requirement of the transformer end.

[0157] In one embodiment, the initial production strategy includes a preset production process and a preset production procedure; the first adjustment module 303 is specifically configured to compare the first predicted noise value with the target noise value; in a case where it is determined that the first predicted noise value is greater than the target noise value, a target noise reduction value is determined; a target production process and a target production procedure corresponding to the target noise reduction value are determined; a new first predicted noise value based on the target production process and the target production procedure is obtained, and the step of comparing the first predicted noise value with the target noise value is performed until the first predicted noise value is less than or equal to the target noise value.

[0158] In one embodiment, the first adjustment module 303 is specifically configured to calculate a noise difference value of the first predicted noise value and the target noise value; based on a preset corresponding relationship between a difference value and a noise reduction value, a target noise reduction value corresponding to the noise difference value is determined.

[0159] In one embodiment, the first adjustment module 303 is specifically configured to generate a noise reduction strategy corresponding to the target noise reduction value; based on the noise reduction strategy, the preset production process and the preset production procedure are updated; and the updated production process and the updated production procedure are determined as the target production process and the target production procedure.

[0160] In one embodiment, the test module 304 is specifically configured to perform the noise testing on the target core at the transformer end as follows:

[0161] obtain a second predicted noise value corresponding to the target core at the transformer end; and in a case where it is determined that the second predicted noise value is less than or equal to the target noise value, perform the noise testing on the target core at the transformer end.

[0162] The noise testing on the target core at the transformer end is performed as follows:

[0163] obtain a test noise value corresponding to the target core at the transformer end;

[0164] In a case where it is determined that the test noise value is less than or equal to the target noise value, it is determined that the core noise of the target core is qualified.

[0165] In one specific embodiment, the acquisition module 301 is further configured to acquire a real noise value corresponding to the target core; and the determination module 304 is specifically configured to determine an environmental influence value corresponding to the target core at the transformer end; and the second predicted noise value is obtained based on the real noise value and the environmental influence value.

[0166] In one specific embodiment, the determination module 302 is specifically configured to input the parameter value corresponding to the noise influence parameter into a preset core noise prediction formula to obtain a first predicted noise value output by the core noise prediction formula.

[0167] Figure 4 An example of a schematic diagram of a physical structure of an electronic device is shown in Figure 4 As shown, the electronic device can include a processor 401, a communications interface 402, a memory 403, and a communications bus 404, wherein the processor 401, the communications interface 402, and the memory 403 can complete mutual communication through the communications bus 404. The processor 401 can invoke a logical instruction in the memory 403 to execute a core noise control method, which includes: acquiring a noise influence parameter related to core noise and a target noise value in an initial production strategy; determining a first predicted noise value corresponding to the core based on the noise influence parameter and a preset core noise prediction strategy; adjusting the production strategy until the first predicted noise value is less than or equal to the target noise value, and obtaining a target core based on the adjusted production strategy; performing noise testing on the target core based on a preset core noise testing strategy; and adjusting the production strategy until a test noise value corresponding to a test result of the noise testing is less than or equal to the target noise value, wherein the core noise testing strategy is obtained based on a use requirement at the transformer end.

[0168] In addition, the logical instruction in the memory 403 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium, includes several instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0169] In another aspect, the present application also provides a computer program product, which comprises a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the core noise control method provided by any of the above methods, the method comprising: obtaining a noise influence parameter related to core noise and a target noise value in an initial production strategy; determining a first predicted noise value corresponding to the core based on the noise influence parameter and a preset core noise prediction strategy; adjusting the production strategy until the first predicted noise value is less than or equal to the target noise value, and obtaining a target core based on the adjusted production strategy; performing noise testing on the target core based on a preset core noise testing strategy; and adjusting the production strategy until a test noise value corresponding to a test result of the noise testing is less than or equal to the target noise value, wherein the core noise testing strategy is obtained based on a use requirement at a transformer end.

[0170] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a core noise control method provided by any of the above embodiments, the method comprising: obtaining a noise influence parameter related to core noise and a target noise value in an initial production strategy; determining a first predicted noise value corresponding to the core based on the noise influence parameter and a preset core noise prediction strategy; adjusting the production strategy until the first predicted noise value is less than or equal to the target noise value, and obtaining a target core based on the adjusted production strategy; performing noise testing on the target core based on a preset core noise testing strategy; and adjusting the production strategy until a test noise value corresponding to a test result of the noise testing is less than or equal to the target noise value, wherein the core noise testing strategy is obtained based on a use requirement at a transformer end.

[0171] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the present embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0172] Those skilled in the art can clearly understand the implementation of the various embodiments by means of software and necessary general hardware platforms through the description of the above embodiments, and of course, the embodiments can also be implemented by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in the various embodiments or some parts of the embodiments.

[0173] Finally, it should be noted that: the above only describes the preferred embodiments of the present application, and the present application is not limited to the above embodiments. It can be understood that other improvements and changes directly derived or thought of by those skilled in the art without departing from the spirit and concept of the present application should be considered to be included in the protection scope of the present application.

Claims

1. A method for controlling iron core noise, characterized in that, The method includes: Obtain the noise impact parameters and target noise values ​​related to core noise in the initial production strategy; Based on the noise impact parameters and the preset core noise prediction strategy, the first predicted noise value corresponding to the core is determined. The production strategy is adjusted until the first predicted noise value is less than or equal to the target noise value, and the target iron core is obtained based on the adjusted production strategy. Based on a preset core noise testing strategy, noise testing is performed on the target core. The production strategy is adjusted until the test noise value corresponding to the test result of the noise test is less than or equal to the target noise value, wherein the core noise test strategy is obtained based on the usage requirements of the transformer end; The process includes, based on a preset core noise testing strategy, performing noise testing on the target core until the test noise value corresponding to the test result is less than or equal to the target noise value, including: The noise prediction process for the target iron core at the transformer end is as follows: Obtain the second predicted noise value corresponding to the target core at the transformer end; if it is determined that the second predicted noise value is less than or equal to the target noise value, perform the step of conducting a noise test on the target core at the transformer end; The noise test process for the target iron core at the transformer end is as follows: Obtain the test noise value of the target iron core at the transformer end; If the test noise value is determined to be less than or equal to the target noise value, the core noise of the target core is determined to be qualified.

2. The core noise control method according to claim 1, characterized in that, The initial production strategy includes: a pre-set production process and pre-set production steps; Adjusting the production strategy until the first predicted noise value is less than or equal to the target noise value includes: Compare the first predicted noise value with the target noise value; If the first predicted noise value is determined to be greater than the target noise value, a target noise reduction value is determined; a target production process and a target production step corresponding to the target noise reduction value are determined; a new first predicted noise value is obtained based on the target production process and the target production step, and the step of comparing the first predicted noise value and the target noise value is performed until the first predicted noise value is less than or equal to the target noise value.

3. The core noise control method according to claim 2, characterized in that, Determining the target noise reduction value when the first predicted noise value is greater than the target noise value includes: Calculate the noise difference between the first predicted noise value and the target noise value; Based on the preset correspondence between the difference and the noise reduction value, the target noise reduction value corresponding to the noise difference is determined.

4. The core noise control method according to claim 2, characterized in that, The determination of the target production process and target production step corresponding to the target noise reduction value includes: Generate a noise reduction strategy corresponding to the target noise reduction value; Based on the noise reduction strategy, update the preset production process and the preset production procedure; The updated production process and the updated production procedure are defined as the target production process and the target production procedure.

5. The core noise control method according to claim 1, characterized in that, Before obtaining the second predicted noise value of the target core at the transformer end, the method further includes: Obtain the actual noise value corresponding to the target iron core; The step of obtaining the second predicted noise value corresponding to the target core at the transformer end includes: Determine the environmental impact value of the target iron core at the transformer end; The second predicted noise value is obtained based on the actual noise value and the environmental impact value.

6. The core noise control method according to any one of claims 1-4, characterized in that, The step of determining the first predicted noise value corresponding to the core based on the noise impact parameters and the preset core noise prediction strategy includes: Input the parameter value corresponding to the noise influence parameter into the preset core noise prediction formula to obtain the first predicted noise value output by the core noise prediction formula.

7. A core noise control device, characterized in that, The device includes: The acquisition module is used to acquire noise impact parameters and target noise values ​​related to core noise in the initial production strategy; The determination module is used to determine the first predicted noise value corresponding to the core based on the noise impact parameters and the preset core noise prediction strategy. The first adjustment module is used to adjust the production strategy until the first predicted noise value is less than or equal to the target noise value, and to obtain the target iron core based on the adjusted production strategy. The testing module is used to perform noise testing on the target iron core based on a preset iron core noise testing strategy. The testing module is used to perform a noise prediction process for the target core at the transformer end as follows: obtaining a second predicted noise value corresponding to the target core at the transformer end; if the second predicted noise value is less than or equal to the target noise value, performing a noise test process for the target core at the transformer end; the noise test process for the target core at the transformer end is as follows: obtaining a test noise value corresponding to the target core at the transformer end; if the test noise value is less than or equal to the target noise value, determining that the core noise of the target core is qualified. The second adjustment module is used to adjust the production strategy until the test noise value corresponding to the test result of the noise test is less than or equal to the target noise value, wherein the core noise test strategy is obtained based on the usage requirements of the transformer end.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the core noise control method as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the core noise control method as described in any one of claims 1 to 6.

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