A parameter optimization method for a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan

Abstract

The present invention relates to the technical field of centrifugal fans, and discloses a method for optimizing the parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan, including: obtaining multiple mechanical parameter groups, constructing a centrifugal fan based on the extracted mechanical parameter groups, calculating loss parameters based on the centrifugal fan, calculating the sound source decibel corresponding to the centrifugal fan, confirming the noise detection environment and starting the centrifugal fan, extracting target detection points in sequence from the noise detection environment, constructing a noise decibel curve using the target detection points, obtaining centrifugal fan data based on the noise decibel curve, summarizing the centrifugal fan data, obtaining a centrifugal fan data set, screening the centrifugal fan data set, obtaining an optimized fan data set, and using the optimized fan data set to confirm the optimal three-dimensional flow centrifugal fan. The main purpose of the present invention is to combine the use scenario of the centrifugal fan, integrate the noise propagation model in the actual use scenario of the centrifugal fan into the simulation experiment of the centrifugal fan, so as to confirm the optimal centrifugal fan parameter group.

Description

Technical Field

[0001] The invention relates to a high-speed three-dimensional flow centrifugal impeller and a parameter optimization method of a centrifugal fan, and belongs to the technical field of centrifugal fans. Background Art

[0002] Three-way flow centrifugal fans are often used for ventilation in warehouses, factories and other places. However, they will generate certain noise during use. The noise is very harmful to humans. Living in noise for a long time will cause irreparable damage to human hearing. Therefore, it is necessary to limit the noise of three-way flow centrifugal fans.

[0003] Existing noise simulation methods for three-dimensional flow centrifugal fans all use models to simulate the fan, and then optimize the parameters of the centrifugal fan according to the optimal simulation results, so as to reduce the propagation of noise while ensuring the use efficiency.

[0004] Although the above method can achieve parameter optimization of high-speed three-dimensional flow centrifugal impellers and centrifugal fans, it often does not take into account the noise propagation model in actual usage scenarios. In actual scenarios, being too spacious or too narrow has a huge impact on the propagation of noise. Therefore, the simulated parameter optimization method is based on usage efficiency. For the method of reducing noise, there is a lack of consideration of actual usage scenarios. Summary of the invention

[0005] The present invention provides a parameter optimization method, device and computer-readable storage medium for a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan. The main purpose of the present invention is to combine the use scenarios of the centrifugal fan, integrate the noise propagation model in the actual use scenarios of the centrifugal fan into the simulation experiment of the centrifugal fan, and thus confirm the optimal centrifugal fan parameter group.

[0006] To achieve the above object, the present invention provides a method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan, comprising:

[0007] Acquire multiple mechanical parameter groups, extract mechanical parameter groups from the multiple mechanical parameter groups in sequence, and perform the following operations on the extracted mechanical parameter groups:

[0008] constructing a centrifugal fan based on the extracted mechanical parameter group, calculating loss parameters based on the centrifugal fan, and calculating the sound source decibel corresponding to the centrifugal fan;

[0009] Confirming the noise detection environment and starting the centrifugal fan, wherein the noise detection environment includes: a plurality of detection points, each of the plurality of detection points is located in a different area of ​​the noise detection environment, and each detection point has a noise detection device;

[0010] Extract detection points from the noise detection environment in sequence to obtain target detection points, and perform the following operations on the target detection points:

[0011] The noise detection device at the target detection point receives the noise signal of the centrifugal fan, obtains the initial decibel value according to the noise signal, obtains the distance between the noise detection device and the centrifugal fan, obtains the propagation distance, and constructs the noise coordinates using the propagation distance and the initial decibel value;

[0012] Summarize the noise coordinates to obtain a noise coordinate set, and construct a noise decibel curve based on the noise coordinate set;

[0013] Correlating the extracted mechanical parameter group based on the extracted mechanical parameter group, loss parameter, sound source decibel and noise decibel curve to obtain centrifugal fan data;

[0014] Summarize the centrifugal fan data to obtain centrifugal fan data sets corresponding to multiple mechanical parameter groups;

[0015] The centrifugal fan data set is screened to obtain the optimized fan data set. The optimal three-dimensional flow centrifugal fan is confirmed by using the pre-built parameter optimization model and the optimized fan data set. Based on the optimal three-dimensional flow centrifugal fan, the parameter optimization of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan is completed.

[0016] Optionally, the calculating loss parameters based on the centrifugal fan includes:

[0017] The impeller outer diameter is extracted based on the mechanical parameter group of the centrifugal fan, and the impeller friction loss and volume loss are calculated according to the impeller outer diameter. The calculation formulas for the impeller friction loss and volume loss are as follows:

[0018] ,

[0019] in, represents the wheel friction loss, represents the air density, represents the correction factor, and , Indicates the circumferential speed of the impeller at the outer diameter of the centrifugal fan. Indicates the outer diameter of the impeller of the centrifugal fan. represents the volume loss, represents the impeller inlet diameter, represents the flow coefficient, and , Indicates the total pressure generated by the air in the centrifugal fan;

[0020] The flow loss, along-the-path loss and mechanical loss of the centrifugal fan are obtained, and the loss parameters are generated according to the disc friction loss, volume loss, flow loss, along-the-path loss and mechanical loss.

[0021] Optionally, the calculating the sound source decibel corresponding to the centrifugal fan includes:

[0022] A sound source decibel calculation formula is constructed, and the sound source decibel corresponding to the centrifugal fan is calculated according to the sound source decibel calculation formula, where the sound source decibel calculation formula is as follows:

[0023] ,

[0024] in, Indicates the decibel of the sound source, Represents the aerodynamic efficiency of the centrifugal fan, It represents the proportional coefficient of the sound power converted from the ventilation loss of the centrifugal fan. represents the Mach number of the centrifugal fan, Indicates the total fan pressure of the centrifugal fan. Indicates the fan air volume of a centrifugal fan.

[0025] Optionally, the noise detection device at the target detection point receives a noise signal of the centrifugal fan, and obtains an initial decibel value according to the noise signal, including:

[0026] The noise detection device receives a noise signal and calculates the received power according to the noise signal, wherein the calculation formula of the received power is as follows:

[0027] ,

[0028] in, represents the received power, represents the period of the noise signal, represents the noise signal, Represents the time parameter in the noise signal;

[0029] The receiving power corresponding to the noise signal is obtained based on the noise signal, and the optimized power is obtained after the receiving power is corrected by using a pre-constructed calibration data model. The initial decibel value corresponding to the detection point is calculated based on the optimized power.

[0030] Optionally, the obtaining of optimized power after correcting the received power by using a pre-built calibration data model comprises:

[0031] Obtain a fan noise simulation device, and obtain a preset decibel interval sequence based on the fan noise simulation device, wherein the preset decibel interval sequence includes a plurality of different preset decibel intervals;

[0032] The following operations are performed for each preset decibel interval in the preset decibel interval sequence:

[0033] Acquire a preset value set based on a preset decibel interval, wherein the preset value set includes multiple preset values, and the multiple preset values ​​are: interval starting decibel, interval ending decibel and multiple interval median decibels;

[0034] Extract preset values ​​from the preset value set in sequence, and perform the following operations on the extracted preset values:

[0035] The fan noise simulation device is started using the extracted preset value, and detection points are sequentially extracted from multiple detection points to obtain target detection points. The following operations are performed on the target detection points:

[0036] The noise detection device based on the target detection point receives the test signal, calculates the test power using the test signal, and calculates the power calibration value according to the test power and the extracted preset value;

[0037] Obtaining the distance between the target detection point and the fan noise simulation device to obtain the propagation distance, associating the propagation distance, the target detection point, the preset decibel interval, and a plurality of power calibration values ​​corresponding to the preset decibel interval to obtain model data;

[0038] Aggregate the model data to obtain a model data set;

[0039] The calibration data model is constructed using the model data set, and the optimized power is obtained after the received power is input into the calibration data model.

[0040] Optionally, the using the model data set to construct a calibration data model, and inputting the received power into the calibration data model to obtain the optimized power, comprises:

[0041] Extract detection points from multiple detection points in sequence to obtain model detection points, and perform the following operations on the model detection points:

[0042] Extracting a detection point data set corresponding to a model detection point from the model data set, and extracting an interval sequence from the detection point data set based on a preset decibel interval sequence, extracting calibration intervals from the interval sequence in sequence, and confirming a plurality of model data from the detection point data set based on the extracted calibration intervals to obtain a plurality of calibration data, wherein the calibration data corresponds to the model data one by one;

[0043] Calculating the mean of the plurality of calibration data to obtain a calibration mean, associating the calibration mean with the calibration interval, and obtaining a calibration value of the model detection point of the extracted machine in the calibration interval;

[0044] Constructing calibration pairs according to the calibration intervals and calibration values, summarizing the calibration pairs, and obtaining a unit calibration model corresponding to the model detection point, wherein the unit calibration model includes a calibration interval sequence, and the calibration interval sequence includes multiple calibration intervals, and the calibration intervals correspond to the calibration values ​​one by one;

[0045] Summarize the unit calibration models to obtain calibration data models corresponding to multiple detection points;

[0046] Confirm the target detection point of the received power, input the received power into the calibration data model, obtain the analysis data model, extract the unit calibration model corresponding to the target detection point of the received power from the analysis data model according to the target detection point of the received power, and confirm the calibration interval corresponding to the received power from the unit calibration model corresponding to the target detection point of the received power, confirm the calibration value based on the calibration interval corresponding to the received power, and use the calibration value to calibrate the received power to obtain the optimized power.

[0047] Optionally, it is characterized in that the calculating the initial decibel value corresponding to the detection point based on the optimized power includes:

[0048] The initial decibel value is calculated based on the optimized power and the pre-built decibel calculation formula, wherein the decibel calculation formula is:

[0049] ,

[0050] in, represents the initial decibel value, represents the conversion coefficient, and , Indicates optimized power, represents the reference power value of the reference sound pressure in air, and .

[0051] Optionally, constructing a noise decibel curve based on the noise coordinate set includes:

[0052] Acquire a noise decibel sequence based on the noise coordinate set, wherein the noise decibel sequence includes a plurality of noise coordinates and is sorted in order of increasing propagation distance;

[0053] The distance-noise coordinate system is constructed by taking the direction of increasing propagation distance as the direction of increasing horizontal axis and taking the direction of increasing initial decibel value in noise coordinate as the direction of increasing vertical axis;

[0054] After the noise decibel sequence is input into the distance-noise coordinate system, the noise decibel curve corresponding to the centrifugal fan is generated by using the pre-constructed cubic spline interpolation method and the distance-noise coordinate system after the noise decibel sequence is input.

[0055] Optionally, the screening of the centrifugal fan data set to obtain an optimized fan data set includes:

[0056] Obtain the sound source noise threshold, extract centrifugal fan data from the centrifugal fan data set in sequence, and perform the following operations on the extracted centrifugal fan data:

[0057] Determine the sound source decibel corresponding to the extracted centrifugal fan data, if the sound source decibel corresponding to the extracted centrifugal fan data is less than the sound source noise threshold, retain the centrifugal fan data, otherwise, discard the centrifugal fan data;

[0058] Summarize the retained centrifugal fan data to obtain an initial fan data set;

[0059] Obtain a preset distance, extract initial fan data sets from the initial fan data sets in sequence, and perform the following operations on the extracted initial fan data sets:

[0060] Extracting a noise decibel curve corresponding to the initial fan data from the initial fan data, identifying a fitting decibel value corresponding to a preset distance from the noise decibel curve corresponding to the initial fan data, comparing the fitting decibel value with a preset acceptable noise threshold, and retaining the initial fan data corresponding to the fitting decibel value if the fitting decibel value is less than the acceptable noise threshold, otherwise, discarding the extracted initial fan data;

[0061] The retained initial wind turbine data are aggregated to obtain an optimized wind turbine data set.

[0062] Optionally, the method of using a pre-built parameter optimization model and an optimized fan data set to identify an optimal three-dimensional flow centrifugal fan includes:

[0063] The optimized fan data are extracted from the optimized fan data set in sequence, and the following operations are performed on the extracted optimized fan data:

[0064] Based on the extracted optimized fan data, the corresponding mechanical parameter group, loss parameter, sound source decibel and noise decibel curve are determined;

[0065] identifying a plurality of mechanical parameters based on the mechanical parameter group;

[0066] Based on the noise decibel curve, a plurality of random distances, random noise corresponding to each of the plurality of random distances, a preset distance, and a fitting decibel value corresponding to the preset distance are determined;

[0067] Summarizing multiple mechanical parameters, loss parameters, multiple random distances and random noise corresponding to each of the random distances, preset distances and fitting decibel values ​​corresponding to the preset distances to obtain multiple evaluation indicators;

[0068] The evaluation matrix is ​​constructed using the pre-constructed entropy weight method and multiple evaluation indicators. The evaluation score corresponding to the extracted optimized wind turbine data is calculated based on the evaluation matrix. The calculation formula of the evaluation score is:

[0069] ,

[0070] in, Indicates Optimize the evaluation scores corresponding to the wind turbine data, Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data The parameters corresponding to the evaluation indicators are: Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data The parameters corresponding to the evaluation indicators are: Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data Parameters corresponding to the evaluation indicators;

[0071] The evaluation scores are summarized to obtain the evaluation score set corresponding to the optimized fan data set. The highest evaluation score is extracted from the evaluation score set, and the optimized fan data corresponding to the highest evaluation score is confirmed to obtain the optimal data. Based on the optimal data, a three-dimensional flow centrifugal fan is constructed.

[0072] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0073] at least one processor; and,

[0074] a memory communicatively connected to the at least one processor; wherein,

[0075] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the parameter optimization method of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan described above.

[0076] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the parameter optimization method of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan described above.

[0077] Compared with the problem described in the background technology, multiple mechanical parameter groups are obtained, and mechanical parameter groups are extracted from the multiple mechanical parameter groups in sequence, and the following operations are performed on the extracted mechanical parameter groups: a centrifugal fan is constructed based on the extracted mechanical parameter groups, loss parameters are calculated based on the centrifugal fan, and the sound source decibel corresponding to the centrifugal fan is calculated. Through simulation experiments, the influence of different parameters on the three-dimensional flow centrifugal fan is explored, so as to control the noise propagation as much as possible on the basis of maintaining the working efficiency of the three-dimensional flow centrifugal fan. The present invention also optimizes the parameters of the centrifugal fan in combination with the actual use scenario, and does not affect the use effect of the centrifugal fan while ensuring that the noise of the centrifugal fan is as small as possible. Confirm the noise detection environment and start the centrifugal fan, wherein the noise detection environment includes: multiple detection points, each of the multiple detection points is set in a different area in the noise detection environment, and each detection point has a noise detection device. Setting multiple detection points can more realistically detect the propagation effect of the noise generated by the centrifugal fan in the actual environment. The present invention extracts detection points from a noise detection environment in sequence to obtain target detection points, and performs the following operations on the target detection points: using a noise detection device at the target detection point to receive a noise signal of a centrifugal fan, obtaining an initial decibel value according to the noise signal, obtaining the distance between the noise detection device and the centrifugal fan, obtaining a propagation distance, constructing noise coordinates using the propagation distance and the initial decibel value, summarizing the noise coordinates to obtain a noise coordinate set, constructing a noise decibel curve based on the noise coordinate set, associating the extracted mechanical parameter group based on the extracted mechanical parameter group, loss parameter, sound source decibel and noise decibel curve to obtain centrifugal fan data, correcting the received power through a power calibration value, integrating a noise propagation model in an actual use scenario of the centrifugal fan into a simulation experiment of the centrifugal fan, and at the same time, setting a calibration interval, thereby simplifying the calibration process and making the noise decibel curve more representative. The centrifugal fan data is summarized to obtain a centrifugal fan data set corresponding to multiple mechanical parameter groups, the centrifugal fan data set is screened, and the optimized fan data set is obtained. The optimal three-dimensional flow centrifugal fan is confirmed by using the pre-constructed parameter optimization model and the optimized fan data set, and the parameter optimization of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan is completed based on the optimal three-dimensional flow centrifugal fan. The present invention simultaneously limits the sound source decibel and the fitting decibel value at the preset distance to reduce the noise hazard generated by the centrifugal fan during normal operation, and objectively calculates the weights between multiple evaluation indicators through the entropy weight method to reduce the influence of subjectivity on the optimal centrifugal fan determination, thereby screening out the optimal centrifugal fan and realizing the parameter optimization based on the high-speed three-dimensional flow centrifugal impeller and centrifugal fan. Therefore, the parameter optimization method, device, electronic device and computer-readable storage medium of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan proposed in the present invention mainly aim to combine the use scenario of the centrifugal fan, integrate the noise propagation model in the actual use scenario of the centrifugal fan into the simulation experiment of the centrifugal fan, and thus confirm the optimal centrifugal fan parameter group. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 A schematic flow chart of a method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan provided in one embodiment of the present invention;

[0079] Figure 2 A schematic structural diagram of an electronic device for implementing the parameter optimization method of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan provided in one embodiment of the present invention.

[0080] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0081] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0082] The embodiment of the present application provides a method for optimizing the parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan. The execution subject of the method for optimizing the parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for optimizing the parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0083] Embodiment 1:

[0084] Reference Figure 1 FIG. 1 is a flow chart of a method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan provided by an embodiment of the present invention. In this embodiment, the method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan includes:

[0085] S1. Acquire multiple mechanical parameter groups, extract mechanical parameter groups from the multiple mechanical parameter groups in sequence, and perform the following operations on the extracted mechanical parameter groups: construct a centrifugal fan based on the extracted mechanical parameter groups, calculate loss parameters based on the centrifugal fan, and calculate the sound source decibel corresponding to the centrifugal fan.

[0086] It should be explained that the mechanical parameter group is the mechanical parameters of the three-dimensional flow centrifugal fan when it is constructed, including but not limited to: rated power, impeller outer diameter, volute tongue, number of blades, volute tongue radius, gap between volute tongue and impeller, volute tongue inclination, impeller inlet diameter, impeller outlet diameter, blade inlet installation angle, blade outlet installation angle, blade inlet width, blade outlet width, etc. The above mechanical parameters are the main structural parameters of the three-dimensional flow centrifugal fan, and the specific definitions are prior art, and they will not be explained one by one here.

[0087] It is understandable that in the embodiments of the present invention, before the optimal three-dimensional flow centrifugal fan is confirmed, simulation experiments are carried out to explore the influence of more different parameters on the three-dimensional flow centrifugal fan, so as to control the noise propagation as much as possible while maintaining the working efficiency of the three-dimensional flow centrifugal fan.

[0088] It should be noted that the centrifugal fan is a centrifugal fan model constructed based on an existing physical fan. It can simulate various real effects produced by the centrifugal fan in actual use, such as noise, vibration, loss parameters, appearance, actual weight, etc. There are many existing technologies to achieve the construction of the centrifugal fan model, so it will not be repeated here.

[0089] It should be understood that the calculation of loss parameters based on the centrifugal fan includes:

[0090] The impeller outer diameter is extracted based on the mechanical parameter group of the centrifugal fan, and the impeller friction loss and volume loss are calculated according to the impeller outer diameter. The calculation formulas for the impeller friction loss and volume loss are as follows:

[0091] ,

[0092] in, represents the wheel friction loss, represents the air density, represents the correction factor, and , Indicates the circumferential speed of the impeller at the outer diameter of the centrifugal fan. Indicates the outer diameter of the impeller of the centrifugal fan. represents the volume loss, represents the impeller inlet diameter, represents the flow coefficient, and , Indicates the total pressure generated by the air in the centrifugal fan;

[0093] The flow loss, along-the-path loss and mechanical loss of the centrifugal fan are obtained, and the loss parameters are generated according to the disc friction loss, volume loss, flow loss, along-the-path loss and mechanical loss.

[0094] Furthermore, the calculation of the sound source decibel corresponding to the centrifugal fan includes:

[0095] A sound source decibel calculation formula is constructed, and the sound source decibel corresponding to the centrifugal fan is calculated according to the sound source decibel calculation formula, where the sound source decibel calculation formula is as follows:

[0096] ,

[0097] in, Indicates the decibel of the sound source, Represents the aerodynamic efficiency of the centrifugal fan, It represents the proportional coefficient of the sound power converted from the ventilation loss of the centrifugal fan. represents the Mach number of the centrifugal fan, Indicates the total fan pressure of the centrifugal fan. Indicates the fan air volume of a centrifugal fan.

[0098] It should be noted that the loss parameter is the sum of the values ​​of disc friction loss, volume loss, flow loss, along-the-line loss and mechanical loss.

[0099] It can be understood that the sound source decibel is the sound power level calculated based on the parameters of the centrifugal fan, and the aerodynamic efficiency of the centrifugal fan is the proportionality coefficient between the loss parameter and the mechanical energy input by the centrifugal fan.

[0100] It should be understood that the sound source decibel is used to describe the calculated noise, but in actual use, due to the limitations of the installation location and environment of the centrifugal fan, it is unreliable to directly use the sound source decibel to determine the noise impact of the centrifugal fan. Therefore, it is necessary to optimize the parameters of the centrifugal fan in combination with the actual use scenario. At the same time, on the basis of ensuring that the noise of the centrifugal fan is as low as possible, it should not affect the use effect of the centrifugal fan, so the loss parameters also need to be calculated.

[0101] S2. Confirm the noise detection environment and start the centrifugal fan, wherein the noise detection environment includes: multiple detection points, each of the multiple detection points is located in a different area of ​​the noise detection environment, and each detection point has a noise detection device.

[0102] It is understandable that the detection points are detection points set in an environment where the centrifugal fan may be located during actual use.

[0103] For example, the centrifugal fan is used for exhaust in warehouse A of the factory. Therefore, in warehouse A where the centrifugal fan is located, with the installation position of the centrifugal fan as the center, two detection points are randomly set on each circle with a diameter of 0.5m, 1m, 1.2m, 1.5m and 2m, that is, there are 10 detection points in total, and each of the 10 detection points has a noise detection device, which is used to obtain the noise at the detection point. According to actual needs, detection points other than the above 10 detection points can be added at the staff station of warehouse A and the entrance of warehouse A, so the setting of the detection points can be selected by humans according to needs.

[0104] It should be noted that in actual scenes, being too spacious or too narrow has a huge impact on the propagation of noise. Therefore, the purpose of setting multiple detection points as dispersed as possible as in the example is to more realistically detect the propagation effect of the noise generated by the centrifugal fan in the actual environment.

[0105] S3. Extract detection points from the noise detection environment in sequence to obtain target detection points, and perform the following operations on the target detection points: use the noise detection device at the target detection point to receive the noise signal of the centrifugal fan, obtain the initial decibel value according to the noise signal, obtain the distance between the noise detection device and the centrifugal fan, obtain the propagation distance, use the propagation distance and the initial decibel value to construct noise coordinates, summarize the noise coordinates to obtain a noise coordinate set, and construct a noise decibel curve based on the noise coordinate set.

[0106] Furthermore, the noise detection device at the target detection point receives the noise signal of the centrifugal fan, and obtains the initial decibel value according to the noise signal, including:

[0107] The noise detection device receives a noise signal and calculates the received power according to the noise signal, wherein the calculation formula of the received power is as follows:

[0108] ,

[0109] in, represents the received power, represents the period of the noise signal, represents the noise signal, Represents the time parameter in the noise signal;

[0110] The receiving power corresponding to the noise signal is obtained based on the noise signal, and the optimized power is obtained after the receiving power is corrected by using a pre-constructed calibration data model. The initial decibel value corresponding to the detection point is calculated based on the optimized power.

[0111] It should be noted that the target detection point is a detection point in a noisy environment, and the noise signal is a signal corresponding to the noise detected by the noise detection device in the target detection point after the centrifugal fan is started in the simulation experiment.

[0112] Further, the calculating the initial decibel value corresponding to the detection point based on the optimized power includes:

[0113] The initial decibel value is calculated based on the optimized power and the pre-built decibel calculation formula, wherein the decibel calculation formula is:

[0114] ,

[0115] in, represents the initial decibel value, represents the conversion coefficient, and , Indicates optimized power, represents the reference power value of the reference sound pressure in air, and .

[0116] It can be understood that the conversion coefficient is a coefficient for converting the logarithm of the power ratio into a decibel value.

[0117] Further, the optimized power is obtained after correcting the received power using the pre-built calibration data model, including:

[0118] Obtain a fan noise simulation device, and obtain a preset decibel interval sequence based on the fan noise simulation device, wherein the preset decibel interval sequence includes a plurality of different preset decibel intervals;

[0119] The following operations are performed for each preset decibel interval in the preset decibel interval sequence:

[0120] Acquire a preset value set based on a preset decibel interval, wherein the preset value set includes multiple preset values, and the multiple preset values ​​are: interval starting decibel, interval ending decibel and multiple interval median decibels;

[0121] Extract preset values ​​from the preset value set in sequence, and perform the following operations on the extracted preset values:

[0122] The fan noise simulation device is started using the extracted preset value, and detection points are sequentially extracted from multiple detection points to obtain target detection points. The following operations are performed on the target detection points:

[0123] A noise detection device based on a target detection point receives a test signal, calculates a test power using the test signal, and calculates a power calibration value based on the test power and a preset reference power;

[0124] Obtaining the distance between the target detection point and the fan noise simulation device to obtain the propagation distance, associating the propagation distance, the target detection point, the preset decibel interval, and a plurality of power calibration values ​​corresponding to the preset decibel interval to obtain model data;

[0125] Aggregate the model data to obtain a model data set;

[0126] The calibration data model is constructed using the model data set, and the optimized power is obtained after the received power is input into the calibration data model.

[0127] It is understandable that the fan calibration data model is a model obtained by sampling the centrifugal fan in the actual use scenario, and the fan noise simulation device is a device set in the actual use scenario of the centrifugal fan to simulate the noise generated by the centrifugal fan. The preset decibel interval sequence is composed of multiple preset decibel intervals, and the preset decibel intervals are multiple different intervals in the process of simulating noise by the fan noise simulation device.

[0128] Exemplarily, the preset decibel interval sequence is: 0-10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-90, 90-100, and the unit is decibel, so 0-10 is a preset decibel interval, in the preset decibel interval 0-10, the interval start decibel is 0, the interval end decibel is 10, and the multiple interval median decibels are 4 and 7 respectively. At this time, the preset value set is: 0, 4, 7, 10. The rest of the multiple different preset decibel intervals are similar and no longer given examples one by one.

[0129] It should be noted that the test signal is: after the fan noise simulation device is started according to the extracted preset value, the fan noise simulation device emits a corresponding sound according to the preset value, and the signal received by the noise detection device at the target detection point is the detection signal. The test power is the power calculated according to the test signal. The calculation formula is the prior art and will not be repeated here.

[0130] It is understandable that the preset reference power is the power of the target detection point in the simulation experiment in an open scene without obstructions. The test decibel value is calculated using the test power and the decibel calculation formula. At the same time, the preset reference power of the target detection point in the simulation software of the centrifugal fan is obtained, and the decibel value corresponding to the preset reference power is calculated according to the preset reference power. The difference between the decibel value corresponding to the reference power and the test decibel value is calculated, and the power calculated according to the difference is the power calibration value. Since the received power is obtained from the noise signal, in the model corresponding to the centrifugal fan, in order to add the impact of the environment on the noise, the received power calculated is the power of the target detection point in the simulation experiment in an open scene without obstructions. The received power is corrected with the power calibration value, and the noise propagation model in the actual use scenario of the centrifugal fan is integrated into the simulation experiment of the centrifugal fan.

[0131] It should be noted that, optionally, the association method for obtaining the model data by associating the propagation distance, target detection point, preset decibel interval and multiple power calibration values ​​corresponding to the preset decibel interval can be to use a pointer to identify the propagation distance, target detection point, preset decibel interval and multiple power calibration values ​​corresponding to the preset decibel interval. It can also be achieved by constructing a phenotype data, inputting the propagation distance, target detection point, preset decibel interval and multiple power calibration values ​​corresponding to the preset decibel interval into the phenotype data, and obtaining the model data. The embodiment of the present invention does not limit the association method, and there are many existing technologies that can realize the association of the propagation distance, target detection point, preset decibel interval and multiple power calibration values ​​corresponding to the preset decibel interval.

[0132] Further, the use of the model data set to construct a calibration data model, and after inputting the received power into the calibration data model, obtaining the optimized power, includes:

[0133] Extract detection points from multiple detection points in sequence to obtain model detection points, and perform the following operations on the model detection points:

[0134] Extracting a detection point data set corresponding to a model detection point from the model data set, and extracting an interval sequence from the detection point data set based on a preset decibel interval sequence, extracting calibration intervals from the interval sequence in sequence, and confirming a plurality of model data from the detection point data set based on the extracted calibration intervals to obtain a plurality of calibration data, wherein the calibration data corresponds to the model data one by one;

[0135] Calculating the mean of the plurality of calibration data to obtain a calibration mean, associating the calibration mean with the calibration interval, and obtaining a calibration value of the model detection point of the extracted machine in the calibration interval;

[0136] Constructing calibration pairs according to the calibration intervals and calibration values, summarizing the calibration pairs, and obtaining a unit calibration model corresponding to the model detection point, wherein the unit calibration model includes a calibration interval sequence, and the calibration interval sequence includes multiple calibration intervals, and the calibration intervals correspond to the calibration values ​​one by one;

[0137] Summarize the unit calibration models to obtain calibration data models corresponding to multiple detection points;

[0138] Confirm the target detection point of the received power, input the received power into the calibration data model, obtain the analysis data model, extract the unit calibration model corresponding to the target detection point of the received power from the analysis data model according to the target detection point of the received power, and confirm the calibration interval corresponding to the received power from the unit calibration model corresponding to the target detection point of the received power, confirm the calibration value based on the calibration interval corresponding to the received power, and use the calibration value to calibrate the received power to obtain the optimized power.

[0139] It should be noted that the interval sequence is a preset decibel interval sequence of the model detection points in the detection point data set, and the calibration interval is a plurality of intervals in the interval sequence, which has the same meaning as the preset decibel interval in the preset decibel interval sequence, and will not be explained here with examples.

[0140] It can be understood that the calibration data is the power calibration value in the model data. In the calculation of the mean of the multiple calibration data, the calibration mean is obtained, the calibration mean is associated with the calibration interval, and the calibration value of the model detection point of the extracted machine in the calibration interval is obtained. The multiple calibration data are averaged to obtain the calibration mean, and the calibration mean is associated with the calibration interval. In the model data set, a preset decibel interval corresponds to multiple power calibration values. Therefore, it can be understood that in an embodiment of the present invention, if the centrifugal fan is started, if the received power is detected in the model detection point in the calibration interval, the received power is directly calibrated with the calibration mean. This is because three-dimensional flow centrifugal fans are often used in factories, warehouses, etc., and the requirements for noise control accuracy are relatively low. It is not necessary to receive each different received power at the model detection point for calibration according to each decibel. Therefore, the embodiment of the present invention sets a calibration interval to simplify the calibration process.

[0141] Furthermore, constructing a noise decibel curve based on the noise coordinate set includes:

[0142] Acquire a noise decibel sequence based on the noise coordinate set, wherein the noise decibel sequence includes a plurality of noise coordinates and is sorted in order of increasing propagation distance;

[0143] The distance-noise coordinate system is constructed by taking the direction of increasing propagation distance as the direction of increasing horizontal axis and taking the direction of increasing initial decibel value in noise coordinate as the direction of increasing vertical axis;

[0144] After the noise decibel sequence is input into the distance-noise coordinate system, the noise decibel curve corresponding to the centrifugal fan is generated by using the pre-constructed cubic spline interpolation method and the distance-noise coordinate system after the noise decibel sequence is input.

[0145] It can be understood that the noise coordinate is a coordinate constructed with the propagation distance as the horizontal axis and the initial decibel value as the vertical axis. The noise decibel curve is a curve fitted by the noise decibel sequence in the distance-noise coordinate system using the cubic spline interpolation method, which can describe the relationship between the propagation distance and the initial decibel value under the normal operation of the centrifugal fan. The cubic spline interpolation method is a prior art and will not be described in detail here.

[0146] It should be noted that due to the limitations of experimental conditions in the embodiment of the present invention, the number of multiple detection points selected is limited. If the noise decibel curve corresponding to the centrifugal fan is generated by using the pre-constructed cubic spline interpolation method and the distance-noise coordinate system after the input noise decibel sequence, the initial decibel values ​​corresponding to different propagation distances can be observed.

[0147] S4. Associating the extracted mechanical parameter group with the loss parameter, the sound source decibel and the noise decibel curve to obtain centrifugal fan data, and summarizing the centrifugal fan data to obtain centrifugal fan data sets corresponding to multiple mechanical parameter groups.

[0148] It can be understood that the association method based on the extracted mechanical parameter group, loss parameter, sound source decibel and noise decibel curve identification of the extracted mechanical parameter group is the same as the above-mentioned association method for associating the propagation distance, target detection point, preset decibel interval and multiple power calibration values ​​corresponding to the preset decibel interval to obtain model data, which will not be repeated here.

[0149] S5. Filter the centrifugal fan data set to obtain the optimized fan data set, use the pre-built parameter optimization model and the optimized fan data set to identify the optimal three-dimensional flow centrifugal fan, and complete the parameter optimization of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan based on the optimal three-dimensional flow centrifugal fan.

[0150] Furthermore, the screening of the centrifugal fan data set to obtain an optimized fan data set includes:

[0151] Obtain the sound source noise threshold, extract centrifugal fan data from the centrifugal fan data set in sequence, and perform the following operations on the extracted centrifugal fan data:

[0152] Determine the sound source decibel corresponding to the extracted centrifugal fan data, if the sound source decibel corresponding to the extracted centrifugal fan data is less than the sound source noise threshold, retain the centrifugal fan data, otherwise, discard the centrifugal fan data;

[0153] Summarize the retained centrifugal fan data to obtain an initial fan data set;

[0154] Obtain a preset distance, extract initial fan data sets from the initial fan data sets in sequence, and perform the following operations on the extracted initial fan data sets:

[0155] Extracting a noise decibel curve corresponding to the initial fan data from the initial fan data, identifying a fitting decibel value corresponding to a preset distance from the noise decibel curve corresponding to the initial fan data, comparing the fitting decibel value with a preset acceptable noise threshold, and retaining the initial fan data corresponding to the fitting decibel value if the fitting decibel value is less than the acceptable noise threshold, otherwise, discarding the extracted initial fan data;

[0156] The retained initial wind turbine data are aggregated to obtain an optimized wind turbine data set.

[0157] It is understandable that the sound source noise threshold is a preset threshold for limiting the sound source decibel. The reason for limiting the sound source decibel is that when the sound source decibel is too loud, it will inevitably cause hearing damage to the staff at the centrifugal fan location, so the sound source decibel value must be limited.

[0158] It should be noted that the preset distance is a preset distance value. When the propagation distance is greater than or equal to the preset distance, the noise generated by the centrifugal fan should be less than the preset noise acceptance threshold. For example, there is an office 2m away from the centrifugal fan, so the preset distance is set to 2m. In order to avoid hearing damage to office staff caused by the noise generated by the centrifugal fan, when the centrifugal fan is started, the preset noise acceptance threshold at the office greater than the preset distance of 2m is 40 decibels.

[0159] It is understandable that the embodiment of the present invention limits both the sound source decibel and the fitting decibel value at a preset distance, so as to reduce the noise hazard generated by the centrifugal fan during normal operation.

[0160] Further, the method of using the pre-built parameter optimization model and the optimized fan data set to identify the optimal three-dimensional flow centrifugal fan includes:

[0161] The optimized fan data are extracted from the optimized fan data set in sequence, and the following operations are performed on the extracted optimized fan data:

[0162] Based on the extracted optimized fan data, the corresponding mechanical parameter group, loss parameter, sound source decibel and noise decibel curve are determined;

[0163] identifying a plurality of mechanical parameters based on the mechanical parameter group;

[0164] Based on the noise decibel curve, a plurality of random distances, random noise corresponding to each of the plurality of random distances, a preset distance, and a fitting decibel value corresponding to the preset distance are determined;

[0165] Summarizing multiple mechanical parameters, loss parameters, multiple random distances and random noise corresponding to each of the random distances, preset distances and fitting decibel values ​​corresponding to the preset distances to obtain multiple evaluation indicators;

[0166] The evaluation matrix is ​​constructed using the pre-constructed entropy weight method and multiple evaluation indicators. The evaluation score corresponding to the extracted optimized wind turbine data is calculated based on the evaluation matrix. The calculation formula of the evaluation score is:

[0167] ,

[0168] in, Indicates Optimize the evaluation scores corresponding to the wind turbine data, Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data The parameters corresponding to the evaluation indicators are: Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data The parameters corresponding to the evaluation indicators are: Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data Parameters corresponding to the evaluation indicators;

[0169] The evaluation scores are summarized to obtain the evaluation score set corresponding to the optimized fan data set. The highest evaluation score is extracted from the evaluation score set, and the optimized fan data corresponding to the highest evaluation score is confirmed to obtain the optimal data. Based on the optimal data, a three-dimensional flow centrifugal fan is constructed.

[0170] It is understandable that in the above embodiment, the sound source decibel and the fitting decibel value at the preset distance are limited at the same time to reduce the noise hazard generated by the centrifugal fan during normal operation. However, on this basis, the efficiency of the centrifugal fan also needs to be improved, and the use function of the centrifugal fan cannot be completely sacrificed in order to reduce the noise hazard. Therefore, the embodiment of the present invention constructs an evaluation score for screening out the optimal centrifugal fan.

[0171] Exemplarily, the specific implementation method of confirming multiple random distances, the random noise corresponding to each of the multiple random distances, the preset distance and the fitted decibel value corresponding to the preset distance based on the noise decibel curve is: randomly extracting multiple propagation distances from the noise decibel curve to obtain the multiple random distances, the propagation distances correspond one-to-one to the random distances, obtaining the initial decibel value corresponding to each of the multiple propagation distances, and obtaining the random noise corresponding to each random distance, wherein the random noise corresponds one-to-one to the initial decibel value.

[0172] It should be noted that the entropy weight method is an existing technology, which can be used to objectively calculate the weights between multiple evaluation indicators and reduce the influence of subjectivity on the optimal centrifugal fan determination, and will not be repeated here. The highest evaluation score is the evaluation score with the largest value in the evaluation score set.

[0173] Compared with the problem described in the background technology, multiple mechanical parameter groups are obtained, and mechanical parameter groups are extracted from the multiple mechanical parameter groups in sequence, and the following operations are performed on the extracted mechanical parameter groups: a centrifugal fan is constructed based on the extracted mechanical parameter groups, loss parameters are calculated based on the centrifugal fan, and the sound source decibel corresponding to the centrifugal fan is calculated. Through simulation experiments, the influence of different parameters on the three-dimensional flow centrifugal fan is explored, so as to control the noise propagation as much as possible on the basis of maintaining the working efficiency of the three-dimensional flow centrifugal fan. The present invention also optimizes the parameters of the centrifugal fan in combination with the actual use scenario, and does not affect the use effect of the centrifugal fan while ensuring that the noise of the centrifugal fan is as small as possible. Confirm the noise detection environment and start the centrifugal fan, wherein the noise detection environment includes: multiple detection points, each of the multiple detection points is set in a different area in the noise detection environment, and each detection point has a noise detection device. Setting multiple detection points can more realistically detect the propagation effect of the noise generated by the centrifugal fan in the actual environment. The present invention extracts detection points from a noise detection environment in sequence to obtain target detection points, and performs the following operations on the target detection points: using a noise detection device at the target detection point to receive a noise signal of a centrifugal fan, obtaining an initial decibel value according to the noise signal, obtaining the distance between the noise detection device and the centrifugal fan, obtaining a propagation distance, constructing noise coordinates using the propagation distance and the initial decibel value, summarizing the noise coordinates to obtain a noise coordinate set, constructing a noise decibel curve based on the noise coordinate set, associating the extracted mechanical parameter group based on the extracted mechanical parameter group, loss parameter, sound source decibel and noise decibel curve to obtain centrifugal fan data, correcting the received power through a power calibration value, integrating a noise propagation model in an actual use scenario of the centrifugal fan into a simulation experiment of the centrifugal fan, and at the same time, setting a calibration interval, thereby simplifying the calibration process and making the noise decibel curve more representative. The centrifugal fan data is summarized to obtain a centrifugal fan data set corresponding to multiple mechanical parameter groups, the centrifugal fan data set is screened, and the optimized fan data set is obtained. The optimal three-dimensional flow centrifugal fan is confirmed by using the pre-constructed parameter optimization model and the optimized fan data set, and the parameter optimization of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan is completed based on the optimal three-dimensional flow centrifugal fan. The present invention simultaneously limits the sound source decibel and the fitting decibel value at the preset distance to reduce the noise hazard generated by the centrifugal fan during normal operation, and objectively calculates the weights between multiple evaluation indicators through the entropy weight method to reduce the influence of subjectivity on the optimal centrifugal fan determination, thereby screening out the optimal centrifugal fan and realizing the parameter optimization based on the high-speed three-dimensional flow centrifugal impeller and centrifugal fan. Therefore, the parameter optimization method, device, electronic device and computer-readable storage medium of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan proposed in the present invention mainly aim to combine the use scenario of the centrifugal fan, integrate the noise propagation model in the actual use scenario of the centrifugal fan into the simulation experiment of the centrifugal fan, and thus confirm the optimal centrifugal fan parameter group.

[0174] Embodiment 2:

[0175] like Figure 2 , which is a schematic diagram of the structure of an electronic device for implementing a parameter optimization method for a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan provided by an embodiment of the present invention.

[0176] The electronic device 1 may include a processor 10, a memory 11, a bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a parameter optimization program for a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan.

[0177] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), etc. equipped on the electronic device 1. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 may not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the parameter optimization program of the high-speed three-dimensional flow centrifugal impeller and the centrifugal fan, but also be used to temporarily store data that has been output or is to be output.

[0178] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as parameter optimization programs for high-speed three-dimensional flow centrifugal impellers and centrifugal fans, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0179] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0180] Figure 2 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 2 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0181] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0182] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0183] Optionally, the electronic device 1 may further include a user interface, which may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device, etc. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0184] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0185] The parameter optimization program for the high-speed three-dimensional flow centrifugal impeller and centrifugal fan stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, the following can be achieved:

[0186] Acquire multiple mechanical parameter groups, extract mechanical parameter groups from the multiple mechanical parameter groups in sequence, and perform the following operations on the extracted mechanical parameter groups:

[0187] constructing a centrifugal fan based on the extracted mechanical parameter group, calculating loss parameters based on the centrifugal fan, and calculating the sound source decibel corresponding to the centrifugal fan;

[0188] Confirming the noise detection environment and starting the centrifugal fan, wherein the noise detection environment includes: a plurality of detection points, each of the plurality of detection points is located in a different area of ​​the noise detection environment, and each detection point has a noise detection device;

[0189] Extract detection points from the noise detection environment in sequence to obtain target detection points, and perform the following operations on the target detection points:

[0190] The noise detection device at the target detection point receives the noise signal of the centrifugal fan, obtains the initial decibel value according to the noise signal, obtains the distance between the noise detection device and the centrifugal fan, obtains the propagation distance, and constructs the noise coordinates using the propagation distance and the initial decibel value;

[0191] Summarize the noise coordinates to obtain a noise coordinate set, and construct a noise decibel curve based on the noise coordinate set;

[0192] Correlating the extracted mechanical parameter group based on the extracted mechanical parameter group, loss parameter, sound source decibel and noise decibel curve to obtain centrifugal fan data;

[0193] Summarize the centrifugal fan data to obtain centrifugal fan data sets corresponding to multiple mechanical parameter groups;

[0194] The centrifugal fan data set is screened to obtain the optimized fan data set. The optimal three-dimensional flow centrifugal fan is confirmed by using the pre-built parameter optimization model and the optimized fan data set. Based on the optimal three-dimensional flow centrifugal fan, the parameter optimization of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan is completed.

[0195] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figure 1 to Figure 2 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0196] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0197] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0198] Acquire multiple mechanical parameter groups, extract mechanical parameter groups from the multiple mechanical parameter groups in sequence, and perform the following operations on the extracted mechanical parameter groups:

[0199] constructing a centrifugal fan based on the extracted mechanical parameter group, calculating loss parameters based on the centrifugal fan, and calculating the sound source decibel corresponding to the centrifugal fan;

[0200] Confirming the noise detection environment and starting the centrifugal fan, wherein the noise detection environment includes: a plurality of detection points, each of the plurality of detection points is located in a different area of ​​the noise detection environment, and each detection point has a noise detection device;

[0201] Extract detection points from the noise detection environment in sequence to obtain target detection points, and perform the following operations on the target detection points:

[0202] The noise detection device at the target detection point receives the noise signal of the centrifugal fan, obtains the initial decibel value according to the noise signal, obtains the distance between the noise detection device and the centrifugal fan, obtains the propagation distance, and constructs the noise coordinates using the propagation distance and the initial decibel value;

[0203] Summarize the noise coordinates to obtain a noise coordinate set, and construct a noise decibel curve based on the noise coordinate set;

[0204] Correlating the extracted mechanical parameter group based on the extracted mechanical parameter group, loss parameter, sound source decibel and noise decibel curve to obtain centrifugal fan data;

[0205] Summarize the centrifugal fan data to obtain centrifugal fan data sets corresponding to multiple mechanical parameter groups;

[0206] The centrifugal fan data set is screened to obtain the optimized fan data set. The optimal three-dimensional flow centrifugal fan is confirmed by using the pre-built parameter optimization model and the optimized fan data set. Based on the optimal three-dimensional flow centrifugal fan, the parameter optimization of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan is completed.

[0207] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0208] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0209] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0210] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan, characterized in that: The method comprises: Acquire multiple mechanical parameter groups, extract mechanical parameter groups from the multiple mechanical parameter groups in sequence, and perform the following operations on the extracted mechanical parameter groups: constructing a centrifugal fan based on the extracted mechanical parameter group, calculating loss parameters based on the centrifugal fan, and calculating the sound source decibel corresponding to the centrifugal fan; Confirming the noise detection environment and starting the centrifugal fan, wherein the noise detection environment includes: a plurality of detection points, each of the plurality of detection points is located in a different area of ​​the noise detection environment, and each detection point has a noise detection device; Extract detection points from the noise detection environment in sequence to obtain target detection points, and perform the following operations on the target detection points: The noise detection device at the target detection point receives the noise signal of the centrifugal fan, obtains the initial decibel value according to the noise signal, obtains the distance between the noise detection device and the centrifugal fan, obtains the propagation distance, and constructs the noise coordinates using the propagation distance and the initial decibel value; Summarize the noise coordinates to obtain a noise coordinate set, and construct a noise decibel curve based on the noise coordinate set; Correlating the extracted mechanical parameter group based on the extracted mechanical parameter group, loss parameter, sound source decibel and noise decibel curve to obtain centrifugal fan data; Summarize the centrifugal fan data to obtain centrifugal fan data sets corresponding to multiple mechanical parameter groups; The centrifugal fan data set is screened to obtain the optimized fan data set. The optimal three-dimensional flow centrifugal fan is confirmed by using the pre-built parameter optimization model and the optimized fan data set. Based on the optimal three-dimensional flow centrifugal fan, the parameter optimization of the high-speed three-dimensional flow centrifugal impeller and centrifugal fan is completed.

2. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 1, characterized in that: The calculating of loss parameters based on the centrifugal fan includes: The impeller outer diameter is extracted based on the mechanical parameter group of the centrifugal fan, and the impeller friction loss and volume loss are calculated according to the impeller outer diameter. The calculation formulas for the impeller friction loss and volume loss are as follows: ， in, represents the wheel friction loss, represents the air density, represents the correction factor, and , Indicates the circumferential speed of the impeller at the outer diameter of the centrifugal fan. Indicates the outer diameter of the impeller of the centrifugal fan. represents the volume loss, represents the impeller inlet diameter, represents the flow coefficient, and , Indicates the total pressure generated by the air in the centrifugal fan; The flow loss, along-the-path loss and mechanical loss of the centrifugal fan are obtained, and the loss parameters are generated according to the disc friction loss, volume loss, flow loss, along-the-path loss and mechanical loss.

3. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 2, characterized in that: The calculation of the sound source decibel corresponding to the centrifugal fan includes: A sound source decibel calculation formula is constructed, and the sound source decibel corresponding to the centrifugal fan is calculated according to the sound source decibel calculation formula, where the sound source decibel calculation formula is as follows: ， in, Indicates the decibel of the sound source, Represents the aerodynamic efficiency of the centrifugal fan, It represents the proportional coefficient of the sound power converted from the ventilation loss of the centrifugal fan. represents the Mach number of the centrifugal fan, Indicates the total fan pressure of the centrifugal fan. Indicates the fan air volume of a centrifugal fan.

4. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 3, characterized in that: The noise detection device at the target detection point receives the noise signal of the centrifugal fan, and obtains the initial decibel value according to the noise signal, including: The noise detection device receives a noise signal and calculates the received power according to the noise signal, wherein the calculation formula of the received power is as follows: ， in, represents the received power, represents the period of the noise signal, represents the noise signal, Represents the time parameter in the noise signal; The receiving power corresponding to the noise signal is obtained based on the noise signal, and the optimized power is obtained after the receiving power is corrected by using a pre-constructed calibration data model. The initial decibel value corresponding to the detection point is calculated based on the optimized power.

5. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 4, characterized in that: After correcting the received power using the pre-built calibration data model, the optimized power is obtained, including: Obtain a fan noise simulation device, and obtain a preset decibel interval sequence based on the fan noise simulation device, wherein the preset decibel interval sequence includes a plurality of different preset decibel intervals; The following operations are performed for each preset decibel interval in the preset decibel interval sequence: Acquire a preset value set based on a preset decibel interval, wherein the preset value set includes multiple preset values, and the multiple preset values ​​are: interval starting decibel, interval ending decibel and multiple interval median decibels; Extract preset values ​​from the preset value set in sequence, and perform the following operations on the extracted preset values: The fan noise simulation device is started using the extracted preset value, and detection points are sequentially extracted from multiple detection points to obtain target detection points. The following operations are performed on the target detection points: The noise detection device based on the target detection point receives the test signal, calculates the test power using the test signal, and calculates the power calibration value according to the test power and the extracted preset value; Obtaining the distance between the target detection point and the fan noise simulation device to obtain the propagation distance, associating the propagation distance, the target detection point, the preset decibel interval, and a plurality of power calibration values ​​corresponding to the preset decibel interval to obtain model data; Summarize the model data to obtain the model data set; The calibration data model is constructed using the model data set, and the optimized power is obtained after the received power is input into the calibration data model.

6. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 5, characterized in that: The method of constructing a calibration data model using the model data set and inputting the received power into the calibration data model to obtain the optimized power includes: Extract detection points from multiple detection points in sequence to obtain model detection points, and perform the following operations on the model detection points: Extracting a detection point data set corresponding to a model detection point from the model data set, and extracting an interval sequence from the detection point data set based on a preset decibel interval sequence, extracting calibration intervals from the interval sequence in sequence, and confirming a plurality of model data from the detection point data set based on the extracted calibration intervals to obtain a plurality of calibration data, wherein the calibration data corresponds to the model data one by one; Calculating the mean of the plurality of calibration data to obtain a calibration mean, associating the calibration mean with the calibration interval, and obtaining a calibration value of the model detection point of the extracted machine in the calibration interval; Constructing calibration pairs according to the calibration intervals and calibration values, summarizing the calibration pairs, and obtaining a unit calibration model corresponding to the model detection point, wherein the unit calibration model includes a calibration interval sequence, and the calibration interval sequence includes multiple calibration intervals, and the calibration intervals correspond to the calibration values ​​one by one; Summarize the unit calibration models to obtain calibration data models corresponding to multiple detection points; Confirm the target detection point of the received power, input the received power into the calibration data model, obtain the analysis data model, extract the unit calibration model corresponding to the target detection point of the received power from the analysis data model according to the target detection point of the received power, and confirm the calibration interval corresponding to the received power from the unit calibration model corresponding to the target detection point of the received power, confirm the calibration value based on the calibration interval corresponding to the received power, and use the calibration value to calibrate the received power to obtain the optimized power.

7. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 6, characterized in that: It is characterized in that The calculating the initial decibel value corresponding to the detection point based on the optimized power includes: The initial decibel value is calculated based on the optimized power and the pre-built decibel calculation formula, wherein the decibel calculation formula is: ， in, represents the initial decibel value, represents the conversion coefficient, and , Indicates optimized power, represents the reference power value of the reference sound pressure in air, and .

8. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 7, characterized in that: The step of constructing a noise decibel curve based on a noise coordinate set includes: Acquire a noise decibel sequence based on the noise coordinate set, wherein the noise decibel sequence includes a plurality of noise coordinates and is sorted in order of increasing propagation distance; The distance-noise coordinate system is constructed by taking the direction of increasing propagation distance as the direction of increasing horizontal axis and taking the direction of increasing initial decibel value in noise coordinate as the direction of increasing vertical axis; After the noise decibel sequence is input into the distance-noise coordinate system, the noise decibel curve corresponding to the centrifugal fan is generated by using the pre-constructed cubic spline interpolation method and the distance-noise coordinate system after the noise decibel sequence is input.

9. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 8, characterized in that: The screening of the centrifugal fan data set to obtain an optimized fan data set includes: Obtain the sound source noise threshold, extract centrifugal fan data from the centrifugal fan data set in sequence, and perform the following operations on the extracted centrifugal fan data: Determine the sound source decibel corresponding to the extracted centrifugal fan data, if the sound source decibel corresponding to the extracted centrifugal fan data is less than the sound source noise threshold, retain the centrifugal fan data, otherwise, discard the centrifugal fan data; Summarize the retained centrifugal fan data to obtain an initial fan data set; Obtain a preset distance, extract initial fan data sets from the initial fan data sets in sequence, and perform the following operations on the extracted initial fan data sets: Extracting a noise decibel curve corresponding to the initial fan data from the initial fan data, identifying a fitting decibel value corresponding to a preset distance from the noise decibel curve corresponding to the initial fan data, comparing the fitting decibel value with a preset acceptable noise threshold, and retaining the initial fan data corresponding to the fitting decibel value if the fitting decibel value is less than the acceptable noise threshold, otherwise, discarding the extracted initial fan data; The retained initial wind turbine data are aggregated to obtain an optimized wind turbine data set.

10. The method for optimizing parameters of a high-speed three-dimensional flow centrifugal impeller and a centrifugal fan according to claim 9, characterized in that: The method of using a pre-built parameter optimization model and an optimized fan data set to identify an optimal three-dimensional flow centrifugal fan includes: The optimized fan data are extracted from the optimized fan data set in sequence, and the following operations are performed on the extracted optimized fan data: Based on the extracted optimized fan data, the corresponding mechanical parameter group, loss parameter, sound source decibel and noise decibel curve are determined; identifying a plurality of mechanical parameters based on the mechanical parameter group; Based on the noise decibel curve, a plurality of random distances, random noise corresponding to each of the plurality of random distances, a preset distance, and a fitting decibel value corresponding to the preset distance are determined; Summarizing multiple mechanical parameters, loss parameters, multiple random distances and random noise corresponding to each of the random distances, preset distances and fitting decibel values ​​corresponding to the preset distances to obtain multiple evaluation indicators; The evaluation matrix is ​​constructed using the pre-constructed entropy weight method and multiple evaluation indicators. The evaluation score corresponding to the extracted optimized wind turbine data is calculated based on the evaluation matrix. The calculation formula of the evaluation score is: ， in, Indicates Optimize the evaluation scores corresponding to the wind turbine data, Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data The parameters corresponding to the evaluation indicators are: Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data The parameters corresponding to the evaluation indicators are: Indicates The weights corresponding to the evaluation indicators, Indicates Optimize fan data Parameters corresponding to the evaluation indicators; The evaluation scores are summarized to obtain the evaluation score set corresponding to the optimized fan data set. The highest evaluation score is extracted from the evaluation score set, and the optimized fan data corresponding to the highest evaluation score is confirmed to obtain the optimal data. Based on the optimal data, a three-dimensional flow centrifugal fan is constructed.

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