CN103561377A - Optimized setting method for electroacoustic products - Google Patents
Optimized setting method for electroacoustic products Download PDFInfo
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- CN103561377A CN103561377A CN201310548566.3A CN201310548566A CN103561377A CN 103561377 A CN103561377 A CN 103561377A CN 201310548566 A CN201310548566 A CN 201310548566A CN 103561377 A CN103561377 A CN 103561377A
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Abstract
Provided is an optimized setting method for electroacoustic products. At first, an initial setting step is executed to receive a target frequency response curve and a plurality of sound quality pointers, then an existing frequency response curve database and/or a sound quality database are/is led in and compared with the target frequency response curve and the sound quality pointers, and an initial frequency response curve according with design demands and a plurality of structure parameter initial values corresponding to product models are selected; secondly, an error calculation step is carried out to distinguish a plurality of frequency intervals and to calculate mean variation values of the two frequency response curves in each frequency interval respectively; at last, an optimized adjustment step is carried out, namely at least one of isostructural parameter initial values is correspondingly adjusted according to the mean variation values, then whether simulation frequency response curves obtained through simulation can be accepted or not is judged, returning to the error calculation step is carried out if the simulation frequency response curves cannot be accepted, and otherwise the process is finished. Therefore, designers can quickly judge whether the process is finished or not through the simulation technique, development time can be substantially shortened, and development cost can be substantially reduced.
Description
Technical field
the present invention relates to electro-acoustic product design field, particularly the structural parameters of most existing electro-acoustic products and voice output characteristic arrange as sound quality database and existing frequency response curve (Frequency Response Curve) database, the design optimization method of matching error analyses and simulations assessment.
Background technology
flourish due to electronic industry, portable electric product makes rapid progress, products such as smart mobile phone, mobile computer and flat computer is all to utilize Microspeaker or earphone that the function of audio output is provided, and along with technical development, consumer also more and more payes attention to for the voice output quality good or not of electronic product.
manufacturer is for the development process of the electro-acoustic products such as loud speaker or earphone at present, mainly to carry out with the rule of thumb and known physical characteristic rule, therefore to develop the product often spacious day when useless that meets demand, it is exactly to be that the structure of loud speaker and earphone is comparatively complicated that spy is traced it to its cause, and relate to electronics, machinery and acoustics three broad theory parts, cause product development personnel can, in the face of the uncertainty of height, be not easy to grasp accurately adjusted iterm to reach the performance of particular demands in product development process.
Summary of the invention
a kind of design optimization method that the object of this invention is to provide electro-acoustic product, utilize sound quality database and existing frequency response curve (the Frequency response curve) database of the existing product building in advance to carry out automation comparison, and according to the error analysis of sequencing, make product development personnel can accurately grasp the structural parameters of electro-acoustic product, finally see through emulation technology to adjust fast correction, to complete optimization, shorten the new product development time and promote designing quality.
for achieving the above object, the technical solution used in the present invention is: the optimal setting method of electro-acoustic product, comprises the following steps:
a) accept to include and import existing frequency response curve database after the design requirement of target frequency response curve and contrast, selector is should a plurality of structural parameters initial values of the original frequency response curve of design requirement and corresponding product model;
b) distinguish a plurality of frequency separations, with regard to each frequency separation, calculate the average deviation value between this target frequency response curve and this original frequency response curve respectively;
c) according to each average deviation value corresponding adjust these structural parameters initial values at least one of them, again the result after adjusting is set as to a plurality of adjust on structural parameter values, carry out obtaining a stimulation frequency response curve after emulation, after subsequently this target frequency response curve and this stimulation frequency response curve being compared, calculate error amount, when being less than threshold value, finishes this error amount, otherwise, these adjust on structural parameter values are replaced to these structural parameters initial values, and this stimulation frequency response curve is got back to step b after replacing this original frequency response curve).
preferably, this design requirement also includes plurality of sounds quality pointer, and step comparison a) also comprises and these sound quality pointers are imported to sound quality database screens comparison.
preferably, step b) quantity in medium frequency interval is three, is respectively that a low frequency is interval, a medium frequency is interval and a high-frequency is interval.
preferably, step c) more comprise and import sensitivity analysis table to determine at least one structural parameters initial value to be adjusted.
further preferably, this sensitivity analysis table is to utilize single-factor experimental design resulting.
preferably, step comparison a) is curve similarity comparison.
an optimal setting method, it is characterized in that, comprise the following steps:
a) receive the design requirement that includes target frequency response curve and plurality of sounds quality pointer, afterwards these sound quality pointers are imported to sound quality database and compare, then select to meet the original frequency response curve of demand and a plurality of structural parameters initial values of corresponding product model from existing frequency response curve database;
b) distinguish a plurality of frequency separations, with regard to each frequency separation, calculate the average deviation value between this target frequency response curve and this original frequency response curve respectively;
c) according to each average deviation value corresponding adjust these structural parameters initial values at least one of them, again the result after adjusting is set as to a plurality of adjust on structural parameter values, carry out obtaining stimulation frequency response curve after emulation, after subsequently this target frequency response curve and this stimulation frequency response curve being compared, calculate error amount, when being less than threshold value, finishes this error amount, otherwise, these adjust on structural parameter values are replaced to these structural parameters initial values, and this stimulation frequency response curve is got back to step b after replacing this original frequency response curve).
preferably, step b) quantity in medium frequency interval is three, is respectively that a low frequency is interval, a medium frequency is interval and a high-frequency is interval.
preferably, step c) more comprise and import sensitivity analysis table to determine at least one structural parameters initial value to be adjusted.
preferably, this sensitivity analysis table is to utilize single-factor experimental design resulting.
because technique scheme is used, the present invention compared with prior art has following advantages:
designer can utilize the structural parameters of existing product design and the basis that characteristic is used as developing new product thereof, and can after structure for quick adjusting parameter, carry out emulation, finally from analog result, judge whether to finish development process or repetitive error calculation procedure and optimization set-up procedure, can significantly shorten time and the cost of exploitation.
Accompanying drawing explanation
accompanying drawing 1 is the flow chart of embodiment mono-;
accompanying drawing 2 is the comparison diagram of target frequency response curve and original frequency response curve in embodiment mono-;
accompanying drawing 3 is the comparison diagram that embodiment mono-utilizes sound quality pointer;
accompanying drawing 4 is the comparison diagram of target frequency response curve and stimulation frequency response curve in embodiment mono-.
Embodiment
below in conjunction with embodiment shown in the drawings, the invention will be further described:
embodiment mono-: shown in accompanying drawing 1, a kind of optimal setting method of electro-acoustic product, includes initial setting step, error calculation procedure and optimization set-up procedure, and the concrete practice of each step is as follows:
initial setting step comprises step S1 and S2 in accompanying drawing 1, first accept the design requirement of electro-acoustic product, aforementioned electro-acoustic product is earphone at the present embodiment, its design requirement includes target frequency response curve T, as shown in Figure 2, in the middle of afterwards target frequency response curve T being imported to existing frequency response curve database, compare, its comparison mode can be utilized curve similarity comparison, and/or the tonequality of utilizing previous designs demand requires (dynamic range for example, sensitivity, level of noise, low frequency characteristic etc.) screen comparison, select the original frequency response curve I approximate with target frequency response curve T, import product model and a plurality of structural parameters initial value corresponding with original frequency response curve I simultaneously, in the present embodiment, aforementioned structure initial parameter value comprises and is positioned at the characteristic of earphone internal loudspeaker monomer and the inner space of earphone case and external styling design.
except existing frequency response curve database, also built a sound quality database, its Data Source is through Double-ear type sound-recording equipment or other equivalent measurement equipment, existing electro-acoustic product to be recorded, recycling listens examining system to evaluate the result of recording, finally be quantified as the sound quality pointer that each existing electro-acoustic product is corresponding, conventional sound quality pointer enters following table 1 at present.By this sound quality database, in initial setting step, for the tonequality in design requirement, requiring screening comparison just can see through listed sound quality pointer carries out, this embodiment utilizes seven in the middle of the listed eight kinds of sound quality pointers of table 1 to compare, as shown in Figure 3, it shows the distributing line D1 of this design requirement and the distributing line D2 of selected product model to its result.
table 1
then carry out error calculation procedure (being the step S3 in accompanying drawing 1), the frequency range of target frequency response curve T is distinguished to a plurality of frequency separations, be three frequency separations such as high frequency HF, intermediate frequency MF and low frequency LF in the present embodiment, and with regard to each frequency separation HF, MF, LF, calculate the average deviation value between target frequency response curve T and original frequency response curve I respectively.
optimization set-up procedure comprises step S4 and S5 in accompanying drawing 1, be according to the average deviation value of each frequency separation HF, MF, LF corresponding adjust these structural parameters initial values at least one of them, method of adjustment is at least one the structural parameters initial value to determine to adjust with reference to sensitivity analysis table, aforementioned sensitivity analysis table is to utilize single-factor experimental design (DOE) resulting, list structural parameters and adjustment effect that earphone case is relevant to each frequency separation, as shown in table 2 below:
table 2
therefore, those skilled in the art can be with reference to sensitivity analysis table, corresponding adjustment member or whole structural parameters initial value are with as adjust on structural parameter value, then utilize finite element method (FEM) (Finite Element Method, FEM) or the method such as equivalent circuit method (Equivalent Circuit) carry out emulation to obtain stimulation frequency response curve S, as shown in Figure 1, now just target frequency response curve T and stimulation frequency response curve S can be compared, and utilize the methods such as least squares error to calculate error amount, result after aforementioned error amount is less than a default threshold value and represents to adjust can be accepted, and then execution step S6 and finishing, otherwise, if unacceptable, adjust on structural parameter value and this stimulation frequency response curve are replaced as original frequency response curve and structural parameters initial value, return step S3 and re-execute.
to those skilled in the art, the invention provides the computer-aided engineering (CAE) of electro-acoustic product, existing frequency response curve database will contribute to complete fast initial setting step, can remove the time from newly starting to grope from, and the sensitivity analysis table in optimization set-up procedure also contributes to the direction of quick decision adjustment, see through again sunykatuib analysis technology evaluation adjustment result and whether meet designing requirement, can effectively shorten time and the cost of product development.
subsidiary one carry be, if it is also identical execution step that the present invention uses the design at loudspeaker monomer, Main Differences is that the listed structural parameters of sensitivity analysis table will be different, common structural parameters, such as the height of vibrating diaphragm material and size, magnetic force unit and magnetism intensity, back of the body chamber size etc., the method that to those skilled in the art, can just can understand completely and implement the present invention by illustrating of previous embodiment is in loudspeaker monomer development process.
in addition, the present invention's method for designing also can change the comparison mode of step S2 in the middle of initial designs step the sound quality pointer in design requirement and sound quality database are compared into, namely change by sound quality pointer as independently screening principle, can reach equally the present invention's object and effect.Those skilled in the art, when utilizing the present invention to design for earphone or loudspeaker apparatus, can also directly bring the condition of loudspeaker monomer alternatively by the sound quality pointer in design requirement, to complete fast development process.
above-described embodiment is only explanation technical conceive of the present invention and feature, and its object is to allow person skilled in the art can understand content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalences that Spirit Essence is done according to the present invention change or modify, within all should being encompassed in protection scope of the present invention.
Claims (10)
1. the optimal setting method of electro-acoustic product, is characterized in that, comprises the following steps:
A) accept to include and import existing frequency response curve database after the design requirement of target frequency response curve and contrast, selector is should a plurality of structural parameters initial values of the original frequency response curve of design requirement and corresponding product model;
B) distinguish a plurality of frequency separations, with regard to each frequency separation, calculate the average deviation value between this target frequency response curve and this original frequency response curve respectively;
C) according to each average deviation value corresponding adjust these structural parameters initial values at least one of them, again the result after adjusting is set as to a plurality of adjust on structural parameter values, carry out obtaining a stimulation frequency response curve after emulation, after subsequently this target frequency response curve and this stimulation frequency response curve being compared, calculate error amount, when being less than threshold value, finishes this error amount, otherwise, these adjust on structural parameter values are replaced to these structural parameters initial values, and this stimulation frequency response curve is got back to step b after replacing this original frequency response curve).
2. the optimal setting method of electro-acoustic product according to claim 1, it is characterized in that: this design requirement also includes plurality of sounds quality pointer, and step comparison a) also comprises and these sound quality pointers are imported to sound quality database screens comparison.
3. the optimal setting method of electro-acoustic product according to claim 1, is characterized in that: step b) quantity in medium frequency interval is three, is respectively a low frequency interval, a medium frequency interval and high-frequency interval.
4. the optimal setting method of electro-acoustic product according to claim 1, is characterized in that: step c) more comprise and import sensitivity analysis table to determine at least one structural parameters initial value to be adjusted.
5. the optimal setting method of electro-acoustic product according to claim 4, is characterized in that: this sensitivity analysis table is to utilize single-factor experimental design resulting.
6. the optimal setting method of electro-acoustic product according to claim 1, is characterized in that: step comparison a) is curve similarity comparison.
7. the optimal setting method of electro-acoustic product, is characterized in that, comprises the following steps:
A) receive the design requirement that includes target frequency response curve and plurality of sounds quality pointer, afterwards these sound quality pointers are imported to sound quality database and compare, then select to meet the original frequency response curve of demand and a plurality of structural parameters initial values of corresponding product model from existing frequency response curve database;
B) distinguish a plurality of frequency separations, with regard to each frequency separation, calculate the average deviation value between this target frequency response curve and this original frequency response curve respectively;
C) according to each average deviation value corresponding adjust these structural parameters initial values at least one of them, again the result after adjusting is set as to a plurality of adjust on structural parameter values, carry out obtaining stimulation frequency response curve after emulation, after subsequently this target frequency response curve and this stimulation frequency response curve being compared, calculate error amount, when being less than threshold value, finishes this error amount, otherwise, these adjust on structural parameter values are replaced to these structural parameters initial values, and this stimulation frequency response curve is got back to step b after replacing this original frequency response curve).
8. the optimal setting method of electro-acoustic product according to claim 7, is characterized in that: step b) quantity in medium frequency interval is three, is respectively a low frequency interval, a medium frequency interval and high-frequency interval.
9. the optimal setting method of electro-acoustic product according to claim 7, is characterized in that: step c) more comprise and import sensitivity analysis table to determine at least one structural parameters initial value to be adjusted.
10. the optimal setting method of electro-acoustic product according to claim 9, is characterized in that: this sensitivity analysis table is to utilize single-factor experimental design resulting.
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| CN104252563A (en) * | 2014-09-18 | 2014-12-31 | 浙江工业大学 | Optimization method of silicon preset-capacitance microphone |
| CN105807270A (en) * | 2016-03-15 | 2016-07-27 | 北京无线电测量研究所 | Coherent wind lidar wind measurement performance analysis method and system |
| CN106165446A (en) * | 2014-02-26 | 2016-11-23 | 帝瓦雷公司 | For controlling the equipment of speaker |
| CN106951628A (en) * | 2017-03-16 | 2017-07-14 | 吉林航盛电子有限公司 | Loudspeaker frequency tracing analysis method and device based on COMSOL softwares |
| CN107920322A (en) * | 2017-12-05 | 2018-04-17 | 歌尔股份有限公司 | Noise cancelling headphone test method, test system and computer-readable recording medium |
| CN108200504A (en) * | 2018-03-02 | 2018-06-22 | 会听声学科技（北京）有限公司 | The operatic tunes property sort method of active noise reduction earphone |
| CN110321619A (en) * | 2019-06-26 | 2019-10-11 | 深圳技术大学 | Parameterized custom model generation method based on sound data |
| CN112133328A (en) * | 2020-08-03 | 2020-12-25 | 北京百度网讯科技有限公司 | Evaluation information generation method and device for audio data |
| CN112511951A (en) * | 2020-09-17 | 2021-03-16 | 南宁重锤科技有限公司 | Analog frequency divider calculating and processing method |
| CN117349984A (en) * | 2023-10-13 | 2024-01-05 | 广州海葳特科技有限公司 | Design method, design system, storage medium and server for wireless earphone |
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Cited By (14)
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| CN106165446A (en) * | 2014-02-26 | 2016-11-23 | 帝瓦雷公司 | For controlling the equipment of speaker |
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| CN104252563A (en) * | 2014-09-18 | 2014-12-31 | 浙江工业大学 | Optimization method of silicon preset-capacitance microphone |
| CN105807270A (en) * | 2016-03-15 | 2016-07-27 | 北京无线电测量研究所 | Coherent wind lidar wind measurement performance analysis method and system |
| CN106951628A (en) * | 2017-03-16 | 2017-07-14 | 吉林航盛电子有限公司 | Loudspeaker frequency tracing analysis method and device based on COMSOL softwares |
| CN107920322B (en) * | 2017-12-05 | 2020-11-20 | 歌尔股份有限公司 | Noise reduction earphone testing method, noise reduction earphone testing system and computer readable storage medium |
| CN107920322A (en) * | 2017-12-05 | 2018-04-17 | 歌尔股份有限公司 | Noise cancelling headphone test method, test system and computer-readable recording medium |
| CN108200504A (en) * | 2018-03-02 | 2018-06-22 | 会听声学科技（北京）有限公司 | The operatic tunes property sort method of active noise reduction earphone |
| CN108200504B (en) * | 2018-03-02 | 2020-04-14 | 会听声学科技（北京）有限公司 | Sound cavity characteristic classification method of active noise reduction earphone |
| CN110321619A (en) * | 2019-06-26 | 2019-10-11 | 深圳技术大学 | Parameterized custom model generation method based on sound data |
| CN112133328A (en) * | 2020-08-03 | 2020-12-25 | 北京百度网讯科技有限公司 | Evaluation information generation method and device for audio data |
| CN112511951A (en) * | 2020-09-17 | 2021-03-16 | 南宁重锤科技有限公司 | Analog frequency divider calculating and processing method |
| CN117349984A (en) * | 2023-10-13 | 2024-01-05 | 广州海葳特科技有限公司 | Design method, design system, storage medium and server for wireless earphone |
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Application publication date: 20140205 Assignee: Merry Electronics Co., Ltd. Assignor: Merry Electronics (Suzhou) Co., Ltd. Contract record no.: 2019990000071 Denomination of invention: Optimized setting method for electroacoustic products Granted publication date: 20170322 License type: Common License Record date: 20190314 |
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