Sound quality modeling method for air conditioner and sound quality evaluation device
By establishing non-equal loudness and equal loudness sound quality models, combined with a comprehensive sound quality model, and considering various psychoacoustic parameters, the problem of low accuracy in air conditioner sound quality evaluation is solved, and more accurate sound quality prediction and evaluation are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QINGDAO HISENSE HITACHI AIR CONDITIONING SYST
- Filing Date
- 2024-12-26
- Publication Date
- 2026-06-26
AI Technical Summary
Existing methods for evaluating the sound quality of air conditioners have low predictive accuracy and cannot accurately reflect users' tolerance for noise.
By collecting sound signals from air conditioners and conducting objective and subjective analyses, non-equal loudness and equal loudness sound quality models are established. Combined with a comprehensive sound quality model, considering psychoacoustic parameters such as loudness, sharpness, roughness, jitter, and tone dispatch, sound quality prediction is optimized.
It improves the accuracy of sound quality prediction, can more accurately reflect user experience under different operating conditions, and provides precise sound quality evaluation.
Smart Images
Figure CN122282091A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of home appliance technology, specifically to a modeling method for sound quality models of air conditioners and a sound quality evaluation device. Background Technology
[0002] Currently, in the air conditioning industry, users have increasingly higher requirements for the comfort of indoor units. Among these requirements, the operating noise of the machine is something users can directly perceive, thus placing more stringent demands on the sound quality of indoor units. The sound quality of indoor units is described using psychoacoustic indicators such as loudness, sharpness, roughness, vibration, and tone modulation. The indoor unit sound quality evaluation method establishes a correlation between user evaluations of noise and psychoacoustic indicators, thereby predicting the user's level of acceptance of indoor unit noise.
[0003] The current conventional method for sound quality assessment involves collecting sound signals from an air conditioner; subjectively evaluating the sound signals to obtain subjective results; objectively analyzing the sound signals to obtain objective results; combining the subjective and objective results to obtain a sound quality assessment model; and then using the sound quality assessment model to predict sound quality to obtain a sound quality assessment result. However, the accuracy of sound quality prediction is relatively low. Summary of the Invention
[0004] To address the aforementioned problems mentioned in the background section, a modeling method for the sound quality of air conditioners is proposed, and the established sound quality model has high accuracy in predicting sound quality.
[0005] To achieve the above-mentioned objectives, the present invention employs the following technical solution:
[0006] In some embodiments of this application, a method for modeling the sound quality of an air conditioner is proposed, including:
[0007] Collect sound signals from the air conditioner;
[0008] Objective analysis of the collected sound signals yields psychoacoustic parameters;
[0009] The collected sound signals are subjectively evaluated to obtain subjective evaluation results.
[0010] A non-equal loudness sound quality model is established based on the aforementioned psychoacoustic parameters and subjective evaluation results;
[0011] Multiple sound signals under the same operating condition are processed to equal loudness to obtain sound signals of equal loudness.
[0012] Objective analysis of equal-loudness sound signals yields equal-loudness psychoacoustic parameters.
[0013] Subjective evaluation of equal loudness sound signals is performed to obtain subjective evaluation results of equal loudness.
[0014] An equal-loudness sound quality model is established based on the equal-loudness psychoacoustic parameters and the equal-loudness subjective evaluation results.
[0015] A comprehensive sound quality model is established using the equal-loudness sound quality model and the non-equal-loudness sound quality model.
[0016] The above embodiments have the following advantages and effects:
[0017] By superimposing and optimizing the non-equal-loudness sound quality model using the established equal-loudness sound quality model, which considers the influence of loudness and sharpness on sound quality, and the equal-loudness sound quality model, which processes all sound signals into equal-loudness sound signals, eliminating the influence of loudness on sound quality, and thus more clearly highlighting the influence of other psychoacoustic parameters on sound quality, the combination of the non-equal-loudness sound quality model and the equal-loudness sound quality model, along with the inclusion of multiple psychoacoustic parameters such as loudness, sharpness, roughness, jitter, and tone modulation, improves the accuracy of the model's sound quality prediction.
[0018] In some embodiments of this application, in the step of collecting the sound signal of the air conditioner, the collected sound signal is the indoor unit air supply noise signal of different models of indoor units under different operating conditions. Multiple indoor unit air supply noise signals of different models of indoor units under the same operating condition are used to establish a non-equal loudness sound quality model.
[0019] The above embodiments have the following advantages and effects:
[0020] By collecting the air supply noise signals of multiple indoor units of different models under the same operating conditions, a non-equal loudness sound quality model corresponding to a certain operating condition can be established.
[0021] In some embodiments of this application, when establishing non-equal loudness sound quality models, objective and subjective analyses are performed on the indoor unit air supply noise under different operating conditions to establish multiple non-equal loudness sound quality models corresponding to different operating conditions.
[0022] The above embodiments have the following advantages and effects:
[0023] By establishing non-equal loudness sound quality models for multiple sound signals under different operating conditions, each operating condition corresponds to a matching non-equal loudness sound quality model, and the sound quality corresponding to each operating condition can be predicted.
[0024] In some embodiments of this application, psychoacoustic parameters include loudness and sharpness, and the equal-loudness psychoacoustic parameters include roughness, jitter, and tone modulation.
[0025] The above embodiments have the following advantages and effects:
[0026] The non-equal-loudness sound quality model used to construct the comprehensive sound quality model incorporates the influence of psychoacoustic parameters such as loudness and sharpness on sound quality. The equal-loudness sound quality model, on the other hand, incorporates the influence of psychoacoustic parameters such as roughness, jitter, and tone modulation on sound quality after processing the sound signal to equal loudness. The combination of the two makes the entire sound quality model more comprehensive in its consideration of psychoacoustic parameters, thus ensuring the model's prediction accuracy.
[0027] In some embodiments of this application, the non-equal loudness sound quality model is:
[0028] SQ 1i =a 1i L 1i +b 1i S 1i +c 1i Among them, SQ 1i Represents the predicted non-equal loudness sound quality results, L 1i and S 1i Representing loudness and sharpness respectively; a 1i b 1i and c 1i These represent the loudness coefficient, sharpness coefficient, and constant, respectively, i = 1, 2, 3, ..., where i represents the i-th operating condition.
[0029] The above embodiments have the following advantages and effects:
[0030] The above-mentioned non-equal loudness sound quality model can be used to predict the non-equal loudness sound quality results under different operating conditions.
[0031] In some embodiments of this application, when establishing equal loudness sound quality models, objective and subjective analyses are performed on the indoor unit air supply noise under different operating conditions to establish multiple equal loudness sound quality models corresponding to different operating conditions.
[0032] The above embodiments have the following advantages and effects:
[0033] By establishing equal-loudness sound quality models for multiple sound signals under different operating conditions, each operating condition corresponds to a matching equal-loudness sound quality model, and the sound quality corresponding to each operating condition can be predicted.
[0034] In some embodiments of this application, the equal loudness sound quality model is:
[0035] SQ 2i =d 2i R 2i +b 2i S 2i +e 2i F2i +f 2i T 2i +c 2i
[0036] In the formula, SQ 2i R represents the predicted equal-loudness sound quality result. 2i S 2i F 2i 、 and T 2i These represent sharpness, roughness, jitter, and tone modulation, respectively; b 2i d 2i e 2i f 2i and c 2i The coefficients and constants representing sharpness, roughness, jitter, and tone modulation, respectively, i = 1, 2, 3, ..., where i represents the i-th working condition.
[0037] The above embodiments have the following advantages and effects:
[0038] The above-mentioned equal-loudness sound quality model can be used to predict the equal-loudness sound quality results under different operating conditions.
[0039] In some embodiments of this application, the integrated sound quality model is as follows:
[0040] SQ 3i =SQ 1i +f(L d ,L)SQ 2i
[0041] Where, f(L) d ,L) is SQ 2i The function correction coefficient, i = 1, 2, 3, ..., where i represents the i-th working condition.
[0042] The above embodiments have the following advantages and effects:
[0043] The above-mentioned comprehensive sound quality model can be used to evaluate the comprehensive sound quality results under different operating conditions with high accuracy.
[0044] A sound quality evaluation device includes:
[0045] A sound pickup device is used to collect sound signals from an air conditioner;
[0046] Vibration sensing element, used to collect vibration signals;
[0047] The data acquisition device will transmit the collected sound and vibration signals to...
[0048] The controller is used to acquire sound and vibration signals collected by the data acquisition instrument;
[0049] Objective analysis of sound signals yields their psychoacoustic parameters;
[0050] The vibration signal is analyzed to obtain the air conditioner's operating conditions. The comprehensive acoustic quality model and equal loudness value corresponding to the current operating conditions are determined. The psychoacoustic parameters are input into the comprehensive acoustic quality model to obtain the sound quality evaluation results.
[0051] The above embodiments have the following advantages and effects:
[0052] The controller determines the operating condition of the air conditioner by the vibration signal. After determining the operating condition, it can determine the corresponding comprehensive acoustic quality model and the equal loudness value corresponding to this operating condition. The equal loudness values of different operating conditions are pre-stored in the controller.
[0053] After objectively analyzing the collected sound signals, the corresponding psychoacoustic parameter values are obtained. These values are then input into the comprehensive psychoacoustic model to calculate the sound quality evaluation value, thereby automatically evaluating the sound quality of the air conditioner under its current operating conditions. This achieves automatic acquisition, processing, and evaluation of sound signals.
[0054] In some embodiments of this application, the controller includes a memory that stores multiple comprehensive sound quality models corresponding to different operating conditions, established using the sound quality modeling method for air conditioners described above.
[0055] And a control program, which is used to objectively analyze the sound signal to obtain the psychoacoustic parameters of the sound signal;
[0056] The vibration signal is analyzed to obtain the air conditioner's operating conditions. Based on the current operating conditions, the corresponding comprehensive acoustic quality model and equal loudness value are obtained. The psychoacoustic parameters are input into the comprehensive acoustic quality model to obtain the sound quality evaluation result.
[0057] A processor for executing the control program described above.
[0058] The above embodiments have the following advantages and effects:
[0059] The memory is mainly used to implement the storage function. Its internal storage includes control programs, comprehensive sound quality models for multiple different operating conditions, and equal loudness values for each operating condition.
[0060] The processor is the main execution element, which is mainly used to execute the control program stored in the memory. Through the cooperation of the processor and memory, the objective analysis of the collected sound signals, the analysis of the working conditions, and the acquisition of a comprehensive acoustic quality model are achieved to obtain the sound quality evaluation results.
[0061] Other features and advantages of the present invention will become clearer after reading the detailed embodiments of the invention in conjunction with the accompanying drawings. Attached Figure Description
[0062] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0063] Figure 1 This is a general flowchart of the air conditioner sound quality modeling method according to the embodiment;
[0064] Figure 2 A flowchart illustrating the establishment of a non-equal loudness sound quality model according to the air conditioner sound quality modeling method of the embodiment;
[0065] Figure 3 A flowchart illustrating the establishment of an equal-loudness sound quality model in the air conditioner sound quality modeling method according to an embodiment.
[0066] Figure 4 A structural block diagram for establishing a first non-equal loudness sound quality model according to the air conditioner sound quality modeling method of the embodiment;
[0067] Figure 5 A structural block diagram for establishing a second non-equal loudness sound quality model based on the air conditioner sound quality modeling method of the embodiment;
[0068] Figure 6 A structural block diagram for establishing a third non-equal loudness sound quality model based on the air conditioner sound quality modeling method of the embodiment;
[0069] Figure 7 A structural block diagram for establishing a first equal loudness sound quality model according to the air conditioner sound quality modeling method of the embodiment;
[0070] Figure 8 A structural block diagram for establishing a second equal-loudness sound quality model according to the air conditioner sound quality modeling method of the embodiment;
[0071] Figure 9 A structural block diagram for establishing a third equal loudness sound quality model based on the air conditioner sound quality modeling method of the embodiment;
[0072] Figure 10 This is a schematic diagram of the sound quality evaluation device according to an embodiment.
[0073] Figure label:
[0074] 100. Microphone; 200. Vibration sensor; 300. Data acquisition unit; 400. Memory; 500. Processor. Detailed Implementation
[0075] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0076] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0077] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0078] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.
[0079] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.
[0080] The following disclosure provides many different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the invention. Furthermore, reference numerals and / or letters may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. In addition, examples of various specific processes and materials are provided in this invention, but those skilled in the art will recognize the application of other processes and / or the use of other materials.
[0081] In some embodiments of this application, a method for modeling the sound quality of an air conditioner is proposed.
[0082] Home appliances, such as air conditioners, emit various sounds when running, such as compressor noise, fan noise, fluid noise, and electromagnetic noise. The noise from the machine is something that users can directly perceive. If these sounds are abnormal, they will affect users' acceptance of the product, make users feel uncomfortable, and thus cause user complaints.
[0083] To study the impact of air conditioner operating noise on users and user acceptance, a sound quality model was established to evaluate the sound quality of air conditioners. This model is used to predict the sound quality of noise, enabling a more accurate evaluation of noise quality. The evaluation results can be used to determine the degree of consistency between the noise sound quality and the user's actual experience, providing a reference for subsequent improvement and development.
[0084] The modeling method for the sound quality of air conditioners specifically includes the following steps:
[0085] S110: Collects the sound signal from the air conditioner;
[0086] S120: Objectively analyze the collected sound signals to obtain psychoacoustic parameters;
[0087] S130: Perform a subjective evaluation on the collected sound signal and obtain the subjective evaluation result;
[0088] S140: Establish a non-equal loudness sound quality model based on the psychoacoustic parameters and subjective evaluation results.
[0089] For ease of description, this embodiment uses the collection of the air supply noise signal of the indoor unit of an air conditioner as an example.
[0090] When collecting indoor air supply noise signals, the indoor unit is selected during a stable operating phase, and the indoor unit air supply noise signals are recorded in real time using appropriate recording equipment.
[0091] Then, the noise signal from the indoor unit's air supply is appropriately extracted based on its duration. Generally, 10-30 seconds of data during the stable phase can be extracted as the sound signal for model building.
[0092] After the sound signal is acquired, it is objectively analyzed to obtain the corresponding psychoacoustic parameters.
[0093] In objective analysis, the sound signal is mainly imported into existing acoustic parameter analysis software for analysis. The acoustic parameter software has different built-in acoustic parameter calculation formulas. After the sound signal is calculated and analyzed by the software, the psychoacoustic parameter values can be obtained.
[0094] In some embodiments of this application, the psychoacoustic parameters include loudness and sharpness.
[0095] By inputting the sound signal into acoustic parameter analysis software, specific values for loudness and sharpness can be obtained.
[0096] When collecting sound signals, the noise signals of indoor unit air supply under different operating conditions for different models of indoor units are collected.
[0097] For example, when setting up, three different models of indoor units can be selected: the first indoor unit, the second indoor unit, and the third indoor unit.
[0098] Each indoor unit has three operating conditions: Condition 1, Condition 2, and Condition 3.
[0099] These correspond to the low windshield operation mode, medium windshield operation mode, and high windshield operation mode, respectively, for indoor use.
[0100] When collecting sound signals, the indoor air supply noise signals of the three indoor units under the three corresponding operating conditions were collected, resulting in nine indoor unit air supply noise samples.
[0101] Each indoor unit air supply noise signal was objectively analyzed, and the psychoacoustic parameters corresponding to the 9 indoor unit air supply noise samples were obtained.
[0102] Objective analysis of sound signals is mainly used to obtain psychoacoustic parameters. The processing and calculation of acoustic parameters such as loudness and sharpness belong to the objective analysis part of sound quality evaluation. The establishment of a sound quality evaluation model also requires the content of subjective evaluation experiments, followed by data fitting processing to achieve joint analysis of subjective and objective results. Finally, a mathematical model containing various acoustic parameters is used to map and replace the user's subjective sound perception.
[0103] Taking the collection of indoor unit air supply noise as an example, when conducting subjective evaluation experiments, multiple indoor unit air supply noise samples under different operating conditions can be obtained at once for subjective evaluation experiments.
[0104] For example, when setting up three different models of indoor units, nine indoor unit air supply noise samples can be obtained for objective analysis applications in the first operating condition (low wind speed), the second operating condition (medium wind speed), and the third operating condition (high wind speed). Then, a test process can be established using professional sound quality subjective evaluation software, and an appropriate number and composition of users can be selected. The graded scoring method can be used to evaluate the listening and listening of multiple groups of indoor air supply noise samples.
[0105] It should be noted that the participants in the hearing and evaluation generally include people of different genders, age groups, and job types, and the number can be controlled to 30-40 people to ensure the rationality of the evaluation results.
[0106] After the evaluation is completed, you will get the subjective evaluation results corresponding to the 9 indoor unit air supply noise samples. The subjective evaluation results are generally reflected by subjective evaluation scores.
[0107] The subjective evaluation results of the indoor unit's air supply noise samples are determined by the subjective evaluation scores.
[0108] After obtaining the objective psychoacoustic parameters and subjective evaluation results, a fitting model combining the objective psychoacoustic parameters and the user's subjective evaluation results can be established based on conventional fitting methods such as linear regression fitting or neural network fitting. This model is called the non-equal loudness sound quality model.
[0109] When establishing a non-equal loudness sound quality model, multiple indoor air supply noise signals from different models of indoor units under the same operating conditions are used to establish a non-equal loudness sound quality model.
[0110] In some embodiments of this application, when establishing non-equal loudness sound quality models, objective and subjective analyses are performed on indoor air supply noise signals under different operating conditions to establish multiple non-equal loudness sound quality models corresponding to different operating conditions.
[0111] The above embodiments have the following advantages and effects:
[0112] By establishing non-equal loudness sound quality models for multiple sound signals under different operating conditions, each operating condition corresponds to a matching non-equal loudness sound quality model, enabling accurate prediction of the sound quality corresponding to each operating condition.
[0113] That is, the three indoor unit air supply noise samples corresponding to the first, second and third indoor units under the first operating condition were all objectively and subjectively analyzed in order to establish the first non-equal loudness sound quality model.
[0114] Three indoor unit air supply noise samples corresponding to the first, second, and third indoor units under the second operating condition were subjected to objective and subjective analysis in order to establish the second non-equal loudness sound quality model.
[0115] Three indoor unit air supply noise samples corresponding to the first, second, and third indoor units under the third operating condition were subjected to objective and subjective analysis in order to establish a third non-equal loudness sound quality model.
[0116] The established non-equal loudness sound quality model can be used to make preliminary predictions and evaluations of the sound quality of air conditioners. However, since the psychoacoustic parameters of the non-equal loudness sound quality model only consider loudness and sharpness, and the evaluation is based on the combination of these two psychoacoustic parameters and subjective evaluation results, without considering the influence of other psychoacoustic parameters on sound quality, it will cause problems such as missing psychoacoustic parameters and insufficient correlation, resulting in poor accuracy of sound quality prediction and a large difference from the user's experience.
[0117] To improve the accuracy of the established non-equal loudness sound quality model, the modeling method in this embodiment also includes a step of establishing an equal loudness sound quality model. This step is mainly used to process the collected sound signals used to establish the non-equal loudness sound quality model into equal loudness samples, and then use the equal loudness samples after equal loudness processing to establish the equal loudness sound quality model.
[0118] The establishment of an equal-loudness sound quality model includes the following steps:
[0119] S210: Acquire the sound signal used to build a non-equal loudness sound quality model.
[0120] Taking the indoor unit air supply noise signal as an example, multiple indoor unit air supply noise samples were collected from the indoor unit.
[0121] During data collection, sound signals from different models of indoor units under different operating conditions can be collected.
[0122] For example, when setting up, three different models of indoor units can be selected: the first indoor unit, the second indoor unit, and the third indoor unit.
[0123] Each indoor unit has three operating conditions: Condition 1, Condition 2, and Condition 3.
[0124] These correspond to the low windshield operation mode, medium windshield operation mode, and high windshield operation mode, respectively, for indoor use.
[0125] When collecting sound signals, the indoor air supply noise of the three indoor units under the three corresponding operating conditions was collected, resulting in nine indoor unit air supply noise samples.
[0126] S211: Perform equal-loudness processing on multiple sound signals under the same operating condition to obtain equal-loudness sound signals.
[0127] Reference Figures 4-6 As shown, the equal loudness processing of three indoor unit air supply noise samples of the first, second, and third indoor units under the first operating condition yields three equal loudness air supply noise signals under the first operating condition.
[0128] Similarly, the three indoor unit air supply noise signals of the first, second, and third indoor units under the second operating condition were processed to obtain three equal loudness air supply noise signals under the second operating condition with the same loudness.
[0129] The three indoor unit air supply noise signals of the first, second, and third indoor units under the third operating condition were processed to obtain three equal loudness air supply noise signals under the third operating condition with the same loudness.
[0130] When performing equal loudness processing, existing equal loudness software can be used directly.
[0131] S212: Perform objective analysis on equal loudness sound signals to obtain equal loudness psychoacoustic parameters.
[0132] The psychoacoustic parameters of equal loudness include:
[0133] Loudness, sharpness, roughness, jitter, and tone modulation.
[0134] When objectively analyzing equal-loudness sound signals, the equal-loudness sound signals are imported into existing acoustic parameter analysis software for analysis. The acoustic parameter software has built-in different acoustic parameter calculation formulas. After the software calculates and analyzes the sound signal, the psychoacoustic parameter values can be obtained. The psychoacoustic parameter values include loudness value, sharpness value, roughness value, jitter value, and tone modulation value.
[0135] S213: Perform a subjective evaluation on the equal loudness sound signal to obtain the equal loudness subjective evaluation result.
[0136] Subjective evaluation experiments were conducted on equal-loudness sound signals to obtain subjective evaluation results of equal-loudness.
[0137] The process and method for conducting subjective evaluation experiments on equal-loudness sound signals are the same as those for establishing subjective evaluation experiments on sound signals when using non-equal-loudness models.
[0138] The only difference is that the sound signal samples used are sound samples with equal loudness after equal loudness processing. Similarly, the users participating in the listening and evaluation generally include different genders, multiple age groups, and different types of work, and the number can be controlled at 30-40 people to ensure the rationality of the evaluation results.
[0139] S214: Establish an equal loudness sound quality model based on the equal loudness psychoacoustic parameters and the equal loudness subjective evaluation results.
[0140] After objective analysis and subjective evaluation of sound signals of equal loudness, existing fitting methods are used to fit the psychoacoustic parameters calculated by objective analysis and the results of subjective evaluation to establish an equal loudness sound quality model.
[0141] When establishing an equal loudness sound quality model, indoor unit air supply noise samples of different models under the same operating conditions are used to establish an equal loudness sound quality model.
[0142] Reference Figures 7-9 As shown, three samples of indoor unit air supply noise of equal loudness under the first operating condition, corresponding to the first indoor unit, the second indoor unit, and the third indoor unit under the first operating condition, are used to establish the first equal loudness sound quality model.
[0143] Three samples of indoor unit air supply noise of equal loudness under the second operating condition, corresponding to the first, second, and third indoor units, were used to establish the second equal loudness sound quality model.
[0144] Three samples of indoor unit air supply noise of equal loudness under the third operating condition, corresponding to the first, second, and third indoor units, were used to establish the third equal loudness sound quality model.
[0145] The equal-loudness sound quality model processes the sound signals into equal-loudness before building the model. By processing the sound signals into equal-loudness, the influence of loudness on sound quality is eliminated, thus highlighting the influence of other psychoacoustic parameters on sound quality.
[0146] S300: Establish a comprehensive sound quality model using the equal loudness sound quality model and the non-equal loudness sound quality model.
[0147] By superimposing and optimizing the non-equal-loudness sound quality model using the established equal-loudness sound quality model, which considers the influence of loudness and sharpness on sound quality, and the equal-loudness sound quality model, which processes all sound signals into equal-loudness sound signals, eliminating the influence of loudness on sound quality, and thus more clearly highlighting the influence of other psychoacoustic parameters on sound quality, the combination of the non-equal-loudness sound quality model and the equal-loudness sound quality model, along with the inclusion of multiple psychoacoustic parameters such as loudness, sharpness, roughness, jitter, and tone modulation, improves the accuracy of the model's sound quality prediction.
[0148] In some embodiments of this application, the non-equal loudness sound quality model is:
[0149] SQ 1i =a 1i L 1i +b 1i S 1i +c 1i ;
[0150] Among them, SQ 1i Represents the predicted non-equal loudness sound quality results, L 1i and S 1i Representing loudness and sharpness respectively, a 1i b 1i and c 1i These represent the loudness coefficient, sharpness coefficient, and constant, respectively, i = 1, 2, 3, ..., where i represents the i-th operating condition.
[0151] When i=1, it represents that the indoor unit is in the first operating condition. When establishing the model, the air supply noise samples of the first, second, and third indoor units under the first operating condition are obtained. The first non-equal loudness model under the first operating condition is established using the first, second, and third indoor units. The corresponding first non-equal loudness sound quality model is as follows:
[0152] SQ 11 =a 11 L 11 +b 11 S 11 +c 11 L 11 and S 11 Representing loudness and sharpness respectively in the first non-equal loudness sound quality model, a 11 b 11 and c 11 These represent the loudness coefficient, sharpness coefficient, and constant of the first non-equal loudness sound quality model, respectively.
[0153] When the first non-equal loudness sound quality model is known, the psychoacoustic parameters can be obtained by objectively analyzing the acquired sound signal and inputting them into the first non-equal loudness sound quality model to obtain the first non-equal loudness sound quality result.
[0154] When the indoor unit is in the second operating condition, the corresponding second non-equal loudness sound quality model is:
[0155] SQ 13 =a 12 L 12 +b 12 S 12 +c 12 ;
[0156] Among them, L 12 and S 12 Representing the loudness and sharpness of the second non-equal loudness sound quality model, respectively, a 12 b 12 and c 12 These represent the loudness coefficient, sharpness coefficient, and constant of the second non-equal loudness sound quality model, respectively.
[0157] When the second non-equal loudness sound quality model is known, the psychoacoustic parameters can be obtained by objectively analyzing the acquired sound signal and then inputting them into the second non-equal loudness sound quality model to obtain the second non-equal loudness sound quality result.
[0158] When the indoor unit is in the third operating condition, the corresponding third non-equal loudness sound quality model is:
[0159] SQ 13 =a 13 L 13 +b 13 S 13 +c 13 ;
[0160] L 13 and S 13 Representing loudness and sharpness respectively in the third non-equal loudness sound quality model, a 13 b 13 and c 13 These represent the loudness coefficient, sharpness coefficient, and constant of the third non-equal loudness sound quality model, respectively.
[0161] When the third non-equal loudness sound quality model is known, the psychoacoustic parameters can be obtained by objectively analyzing the acquired sound signal and then inputting them into the third non-equal loudness sound quality model to obtain the third non-equal loudness sound quality result.
[0162] In some embodiments of this application, the equal loudness sound quality model is:
[0163] SQ 2i =d 2i R 2i +b 2i S 2i +e 2i F 2i +f 2i T 2i +c 2i ;
[0164] In the formula, SQ 2i R represents the predicted equal-loudness sound quality result. 2i S 2i F 2i 、 and T 2i These represent sharpness, roughness, jitter, and tone modulation, respectively; b 2i d 2i e 2i f 2i and c 2i The coefficients and constants representing sharpness, roughness, jitter, and tone modulation, respectively, i = 1, 2, 3, ..., where i represents the i-th working condition.
[0165] When the indoor unit is in the first operating condition, its corresponding first-order loudness sound quality model is:
[0166] SQ 21 =d 21 R 21 +b 21 S 21 +e 21 F 21 +f 21 T 21 +c 21 ;
[0167] R 21 S 21 F 21 、 and T 21 These represent the sharpness, roughness, jitter, and tone modulation of the first-order loudness sound quality model, respectively; b 21 d 21 e 21 f 21 and c 21 These represent the sharpness, roughness, jitter, and tone modulation coefficients and constants of the first-order loudness sound quality model, respectively.
[0168] When the indoor unit is in the second operating condition, its corresponding second-order loudness sound quality model is:
[0169] SQ 22 =d 22 R 22 +b22 S 22 +e 22 F 22 +f 22 T 22 +c 22 ;
[0170] R 22 S 22 F 22 、 and T 22 These represent the sharpness, roughness, jitter, and tone modulation of the second-order loudness sound quality model, respectively; b 22 d 22 e 22 f 22 and c 22 These represent the sharpness, roughness, jitter, and tone modulation coefficients and constants of the second-order loudness sound quality model.
[0171] When the indoor unit is in the third operating condition, its corresponding third-order loudness sound quality model is:
[0172] SQ 23 =d 23 R 23 +b 23 S 23 +e 23 F 23 +f 23 T 23 +c 23 ;
[0173] R 23 S 23 F 23 、 and T 23 These represent the sharpness, roughness, jitter, and tone modulation of the third-order loudness sound quality model, respectively; b 23 d 23 e 23 f 23 and c 23 These represent the sharpness, roughness, jitter, and tone modulation coefficients and constants of the third-order loudness sound quality model.
[0174] In some embodiments of this application, the integrated sound quality model is as follows:
[0175] SQ 3i =SQ 1i +f(L d ,L)SQ 2i ;
[0176] Where, f(L) d ,L) is SQ 2iThe function correction coefficient, i = 1, 2, 3, ..., where i represents the i-th working condition.
[0177] Where, f(L) d L) satisfies the following functional expression:
[0178]
[0179] This is a correction factor for sharpness. For the remaining psychoacoustic parameters, L is the correction factor, where L is the actual loudness value of the acoustic parameter corresponding to the sound signal; L d The loudness is the processed loudness of the sound signal, where each operating condition corresponds to a specific loudness (L). d And it is a constant value.
[0180] Right now:
[0181]
[0182] If the optimized model of the equal-loudness sound quality model under the first working condition corresponding to the integrated sound quality model is compared with the optimized model of the non-equal-loudness sound quality model, then:
[0183] SQ 31 =SQ 11 +f(L d ,L)SQ 21
[0184] SQ 11 As is known, SQ 21 Also known is the function correction coefficient, which varies.
[0185] The function correction coefficient corresponds to L under the operating conditions of the sound signal. d It is also related to the actual loudness of the sound signal.
[0186] For example, when predicting sound quality results using a comprehensive sound quality model, it is necessary to first objectively analyze the collected sound signals to obtain the corresponding psychoacoustic parameters.
[0187] Psychoacoustic parameters include the values of loudness, sharpness, roughness, jitter, and pitch modulation.
[0188] Simultaneously, the equal loudness value corresponding to the operating condition of this sound signal can be input into the comprehensive sound quality model to calculate the evaluation result of the comprehensive sound quality model.
[0189] In some embodiments of this application, a sound quality evaluation device is proposed. When in use, it is placed on the indoor unit side of the air conditioner to be measured. It can automatically collect the indoor unit's airflow noise signal and vibration signal, and then automatically output the sound quality evaluation result of the indoor unit under the corresponding operating conditions.
[0190] Reference Figure 10 As shown, the sound quality evaluation device includes:
[0191] A sound pickup device used to collect sound signals from an air conditioner.
[0192] In some embodiments of this application, the sound pickup device is a microphone 100, which is used to collect the signal of the indoor unit's air supply noise.
[0193] Vibration sensing element, used to collect vibration signals;
[0194] The vibration sensing element is a vibration sensor 200, which is used to collect indoor vibration signals and determine the operating condition of the air conditioner based on the indoor vibration signals.
[0195] The data acquisition instrument 300 acquires sound and vibration signals.
[0196] The controller is used to acquire sound and vibration signals collected by the data acquisition instrument.
[0197] The data acquisition unit 300 uses an existing structure that can transmit the acquired sound and vibration signals to the controller.
[0198] The controller is configured as follows:
[0199] Objective analysis of sound signals yields their psychoacoustic parameters;
[0200] The vibration signal is analyzed to obtain the air conditioner's operating conditions and the pre-stored equal loudness values of the corresponding operating conditions. The comprehensive acoustic quality model corresponding to the current operating conditions is determined, and the psychoacoustic parameters are input into the comprehensive acoustic quality model to obtain the sound quality evaluation results.
[0201] The controller determines the operating condition of the air conditioner by the vibration signal. After determining the operating condition, it can determine the corresponding comprehensive acoustic quality model and the equal loudness value corresponding to this operating condition. The equal loudness values of different operating conditions are pre-stored in the controller.
[0202] After objectively analyzing the collected sound signals, the corresponding psychoacoustic parameter values are obtained. These psychoacoustic parameter values are then input into the comprehensive psychoacoustic model to calculate the sound quality evaluation value, thereby automatically evaluating the sound quality of the air conditioner under its current operating conditions.
[0203] In some embodiments of this application, the controller includes a memory 400, which stores multiple integrated sound quality models corresponding to different operating conditions established using the sound quality modeling method described in the above embodiments.
[0204] And a control program, which is used to objectively analyze the sound signal to obtain the psychoacoustic parameters of the sound signal;
[0205] The vibration signal is analyzed to obtain the air conditioner's operating conditions. Based on the current operating conditions, a corresponding comprehensive acoustic quality model is obtained. The psychoacoustic parameters are then input into the comprehensive acoustic quality model to obtain the sound quality evaluation results.
[0206] Processor 500 is used to execute the control program described above.
[0207] The memory is mainly used to implement the storage function. Its internal storage includes control programs and comprehensive sound quality models for multiple different operating conditions.
[0208] The processor is the main execution element, which is mainly used to execute the control program stored in the memory. Through the cooperation of the processor and memory, the objective analysis of the collected sound signals, the analysis of the working conditions, and the acquisition of a comprehensive acoustic quality model are achieved to obtain the sound quality evaluation results.
[0209] In some embodiments of this application, the control program includes:
[0210] The first control program is used to objectively analyze the collected sound signals and obtain the psychoacoustic parameters.
[0211] The second control program is used to analyze the collected vibration signals and obtain the operating conditions of the air conditioner.
[0212] The third control program is used to obtain the corresponding comprehensive sound quality model based on the air conditioner operating conditions obtained in the second control program, and to input the psychoacoustic parameters obtained from the first control program into the comprehensive sound quality model to obtain the sound quality result.
[0213] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.
[0214] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A method for sound quality modeling of air conditioners, characterized in that, include: Collect sound signals from the air conditioner; Objective analysis of the collected sound signals yields psychoacoustic parameters; The collected sound signals are subjectively evaluated to obtain subjective evaluation results. A non-equal loudness sound quality model is established based on the aforementioned psychoacoustic parameters and subjective evaluation results; Multiple sound signals under the same operating condition are processed to equal loudness to obtain sound signals of equal loudness. Objective analysis of equal-loudness sound signals yields equal-loudness psychoacoustic parameters. Subjective evaluation of equal loudness sound signals is performed to obtain subjective evaluation results of equal loudness. An equal-loudness sound quality model is established based on the equal-loudness psychoacoustic parameters and the equal-loudness subjective evaluation results. A comprehensive sound quality model is established using the equal-loudness sound quality model and the non-equal-loudness sound quality model.
2. The method for modeling the sound quality of an air conditioner according to claim 1, characterized in that, In the step of collecting the sound signals of the air conditioner, the collected sound signals are the air supply noise signals of indoor units of different models under different operating conditions. Multiple air supply noise signals of indoor units of different models under the same operating conditions are used to establish a non-equal loudness sound quality model.
3. The method for modeling the sound quality of an air conditioner according to claim 2, characterized in that, When establishing a non-equal loudness sound quality model, objective and subjective analyses are performed on the indoor unit air supply noise signal under different operating conditions to establish multiple non-equal loudness sound quality models corresponding to different operating conditions.
4. The method for modeling the sound quality of an air conditioner according to claim 2, characterized in that, The psychoacoustic parameters include at least one of loudness and sharpness, and the equal-loudness psychoacoustic parameters include at least one of sharpness, roughness, jitter and tone modulation.
5. The method for modeling the sound quality of an air conditioner according to claim 2, characterized in that, The non-equal loudness sound quality model is as follows: SQ 1i =a 1i L 1i +b 1i S 1i +c 1i Among them, SQ 1i L represents the predicted non-equal loudness sound quality result. 1i and S 1i Representing loudness and sharpness respectively; a 1i b 1i and c 1i These represent the loudness coefficient, sharpness coefficient, and constant, respectively, i = 1, 2, 3, ..., where i represents the i-th operating condition.
6. The method for modeling the sound quality of an air conditioner according to claim 2, characterized in that, When establishing equal loudness sound quality models, objective and subjective analyses are performed on the indoor unit air supply noise signals under different operating conditions to establish multiple equal loudness sound quality models corresponding to different operating conditions.
7. The method for modeling the sound quality of an air conditioner according to claim 6, characterized in that, The equal loudness sound quality model is as follows: SQ 2i =d 2i R 2i +b 2i S 2i +e 2i F 2i +f 2i T 2i +c 2i In the formula, SQ 2i R represents the predicted equal-loudness sound quality result. 2i S 2i F 2i 、 and T 2i These represent sharpness, roughness, jitter, and tone modulation, respectively; b 2i d 2i e 2i f 2i and c 2i The coefficients and constants representing sharpness, roughness, jitter, and tone modulation, respectively, i = 1, 2, 3, ..., where i represents the i-th working condition.
8. The method for modeling the sound quality of an air conditioner according to claim 2, characterized in that, The comprehensive sound quality model is as follows: SQ 3i =SQ 1i +f(L d ,L)SQ 2i Where, f(L) d L) is SQ 2i The function correction coefficient, i = 1, 2, 3, ..., where i represents the i-th working condition.
9. A sound quality evaluation device, characterized in that, Including: A sound pickup device is used to collect sound signals from an air conditioner; Vibration sensing element, used to collect vibration signals; The data acquisition device acquires sound and vibration signals. The controller is used to acquire sound and vibration signals from the data acquisition device; Objective analysis of sound signals yields their psychoacoustic parameters; The vibration signal is analyzed to obtain the air conditioner's operating conditions. The comprehensive acoustic quality model and equal loudness value corresponding to the current operating conditions are determined. The psychoacoustic parameters are input into the comprehensive acoustic quality model to obtain the sound quality evaluation results.
10. The sound quality evaluation device according to claim 8, characterized in that, The controller includes a memory, which stores multiple comprehensive sound quality models corresponding to different operating conditions, established using the sound quality modeling method of the air conditioner according to any one of claims 1-8. And a control program, which is used to objectively analyze the sound signal to obtain the psychoacoustic parameters of the sound signal; The vibration signal is analyzed to obtain the air conditioner's operating conditions. Based on the current operating conditions, the corresponding comprehensive acoustic quality model and equal loudness value are obtained. The psychoacoustic parameters are input into the comprehensive acoustic quality model to obtain the sound quality evaluation result. A processor for executing the control program described above.