CN103561377B - Optimized setting method for electroacoustic products - Google Patents
Optimized setting method for electroacoustic products Download PDFInfo
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- CN103561377B CN103561377B CN201310548566.3A CN201310548566A CN103561377B CN 103561377 B CN103561377 B CN 103561377B CN 201310548566 A CN201310548566 A CN 201310548566A CN 103561377 B CN103561377 B CN 103561377B
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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 a kind of structural parameters by more several existing electro-acoustic products with
Voice output characteristic is arranged as sound quality data base and existing frequency response curve (Frequency Response Curve)
Data base, the design optimization method that matching error analysis is assessed with simulation.
Background technology
Due to flourishing for electronic industry, portable electric product makes rapid progress, and such as smart mobile phone, notes type are calculated
The product such as machine and tablet PC be all using Microspeaker or earphone come provide audio output function, and with technology send out
Exhibition, consumer also increasingly payes attention to for the voice output quality good or not of electronic product.
At present manufacturer is for the development process of the electro-acoustic products such as speaker or earphone, mainly with empirical law with it is known
Physical characteristics rule carrying out, therefore to develop when meeting the product of demand often spacious day is useless, spy trace it to its cause be exactly
It is complex with the structure of earphone in speaker, and be related to electronics, machinery and three broad theory part of acoustics, cause product development
Personnel can be in the face of the uncertainty of height in product development process, it is not easy to accurately grasp adjusted iterm to reach particular needs
The performance asked.
The content of the invention
It is an object of the invention to provide a kind of design optimization method of electro-acoustic product, using the existing product for building in advance
Sound quality data base carry out automatization with existing frequency response curve (Frequency response curve) data base
Compare, and according to the error analyses of sequencing, enable the structural parameters of product development personnel's accurate perception electro-acoustic product, finally
Through emulation technology to be quickly adjusted correction, to complete optimization, shorten the new product development time and lift designing quality.
For reaching above-mentioned purpose, the technical solution used in the present invention is:The optimal setting method of electro-acoustic product, including with
Lower step:
a)Acceptance imports existing frequency response curve data base after including the design requirement of target frequency response curve
Contrasted, selection meets at the beginning of the original frequency response curve of the design requirement and a plurality of structural parameters of corresponding product model
Initial value;
b)A plurality of frequency separations are distinguished, the target frequency response curve is calculated with regard to each frequency separation respectively initial with this
Mean Deviation value between frequency response curve;
c)According to each Mean Deviation value correspondence adjust the grade structural parameters initial value at least one, then by after adjustment
As a result it is set as a plurality of structural parameters adjusted values, after being emulated, obtains a simulation frequency response curve, subsequently by the mesh
Mark frequency response curve is calculated error amount after comparing with the simulation frequency response curve, when the error amount is less than threshold value then
Terminate, conversely, then replacing the grade structural parameters initial value, and the simulation frequency response curve to take the grade structural parameters adjusted value
After for the original frequency response curve, step b) is returned to.
Preferably, the design requirement also includes plurality of sounds CQI, and the comparison of step a) was also comprising should
Etc. sound quality pointer, importing sound quality data base carries out screening comparison.
Preferably, the interval quantity of step b) medium frequencys is three, a respectively low frequency is interval, a medium frequency is interval and
One altofrequency is interval.
Preferably, step c) further include importing sensitive analysis table it is initial to determine at least one structural parameters to be adjusted
Value.
It is further preferred that the sensitive analysis table is using obtained by single factor experiment design.
Preferably, the comparison of step a) is that curve similarity is compared.
A kind of optimal setting method of electro-acoustic product, it is characterised in that comprise the following steps:
a)Reception includes the design requirement of target frequency response curve and plurality of sounds CQI, afterwards by this etc.
Sound quality pointer imports sound quality data base and compares, then selects to meet from existing frequency response curve data base to need
The original frequency response curve asked and a plurality of structural parameters initial values of corresponding product model;
b)A plurality of frequency separations are distinguished, the target frequency response curve is calculated with regard to each frequency separation respectively initial with this
Mean Deviation value between frequency response curve;
c)According to each Mean Deviation value correspondence adjust the grade structural parameters initial value at least one, then by after adjustment
As a result it is set as a plurality of structural parameters adjusted values, after being emulated, obtains simulation frequency response curve, subsequently by the target frequency
Rate response curve is calculated error amount after comparing with the simulation frequency response curve, when the error amount is then tied less than threshold value
Beam, conversely, then replace the grade structural parameters initial value, and the simulation frequency response curve to replace the grade structural parameters adjusted value
After the original frequency response curve, step b) is returned to.
Preferably, the interval quantity of step b) medium frequencys is three, a respectively low frequency is interval, a medium frequency is interval and
One altofrequency is interval.
Preferably, step c) further include importing sensitive analysis table it is initial to determine at least one structural parameters to be adjusted
Value.
Preferably, the sensitive analysis table is using obtained by single factor experiment design.
As above-mentioned technical proposal is used, the present invention has following advantages compared with prior art:
Designer can be used as developing the basis of new product using the structural parameters of existing product design and its characteristic,
And can be emulated after structure for quick adjusting parameter, finally from analog result judging whether to terminate development process or repeat to miss
Difference calculation procedure and optimization set-up procedure, can significantly shorten time and the cost of exploitation.
Description of the drawings
Flow chart of the accompanying drawing 1 for embodiment one;
Accompanying drawing 2 is the comparison diagram of target frequency response curve and original frequency response curve in embodiment one;
Accompanying drawing 3 is comparison diagram of the embodiment one using sound quality pointer;
Accompanying drawing 4 is the comparison diagram of target frequency response curve and simulation frequency response curve in embodiment one.
Specific embodiment
The invention will be further described for shown embodiment below in conjunction with the accompanying drawings:
Embodiment one:Referring to shown in accompanying drawing 1, a kind of optimal setting method of electro-acoustic product includes initial setting step
Suddenly, error calculating step and optimization set-up procedure, the concrete practice of each step are as follows:
Initial setting procedure receives the design requirement of electro-acoustic product, aforementioned electroacoustic first comprising step S1 and S2 in accompanying drawing 1
Product is earphone in the present embodiment, and its design requirement includes target frequency response curve T, as shown in Figure 2, afterwards by target
Frequency response curve T is imported and is compared in the middle of existing frequency response curve data base, and its alignments can utilize curve phase
Compare like degree, and/or using tonequality requirement (such as dynamic range, sensitivity, level of noise, the low frequency of previous designs demand
Characteristic etc.) carry out screening comparison, select the original frequency response curve I approximate with target frequency response curve T, at the same import and
The corresponding product models of original frequency response curve I and a plurality of structural parameters initial values, in the present embodiment, aforementioned structure
Initial parameter value is comprising positioned at the characteristic of earphone internal loudspeaker monomer and the inner space of earphone case and external styling design.
In addition to existing frequency response curve data base, a sound quality data base is also built, its Data Source is
Existing electro-acoustic product is recorded through Double-ear type sound-recording equipment or other equivalent measurement equipments, recycling listens examining system
To evaluate to the result recorded, the corresponding sound quality pointer of each existing electro-acoustic product is finally quantified as, conventional at present
Sound quality pointer enters table 1 below.By this sound quality data base, for the tonequality in design requirement in initial setting procedure
It is required that screening is compared just can be carried out through listed sound quality pointer, and this embodiment utilizes 1 listed eight kind of sound quality of table
Seven in the middle of pointer compare, its result as shown in Figure 3, its show the distributing line D1 of the design requirement with it is selected
The distributing line D2 of product model.
Table 1
Then error calculating step (step S3 i.e. in accompanying drawing 1) is carried out, by the frequency range of target frequency response curve T
A plurality of frequency separations are distinguished, is high frequency HF in the present embodiment, three frequency separations such as intermediate frequency MF and low frequency LF, and respectively
Mean Deviation value between target frequency response curve T and original frequency response curve I is calculated with regard to each frequency separation HF, MF, LF.
Optimization set-up procedure includes step S4 and S5 in accompanying drawing 1, is according to the average inclined of each frequency separation HF, MF, LF
Difference correspondence adjust the grade structural parameters initial value at least one, method of adjustment is to determine palpus with reference to sensitive analysis table
Adjustment at least one structural parameters initial value, aforementioned sensitive analysis table be using single factor experiment design (DOE) obtained by,
The earphone case structural parameters related to each frequency separation and Adjustment effect is listed, it is as shown in table 2 below:
Table 2
Therefore, those skilled in the art can be with reference to sensitive analysis table, the structural parameters of correspondence adjustment member or whole
Initial value followed by finite element method (FEM) (Finite Element Method, FEM) or is waited with as structural parameters adjusted value
The methods such as effect circuit method (Equivalent Circuit) are emulated to obtain simulation frequency response curve S, such as 1 institute of accompanying drawing
Show, now just target frequency response curve T can be compared with simulation frequency response curve S, and missed using least square
The methods such as difference are calculated error amount, and result after aforementioned error amount represents adjustment less than a default threshold value can connect
Receive, so execution step S6 and terminate;If conversely, unacceptable, will be structural parameters adjusted value bent with simulation frequency response
Line replaces as original frequency response curve and structural parameters initial value, returns step S3 and re-executes.
To those skilled in the art, the invention provides the computer-aided engineering (CAE) of electro-acoustic product, existing
Frequency response curve data base will be helpful to be rapidly completed initial setting procedure, can remove from from the time for newly starting to grope, and
And the sensitive analysis table in optimization set-up procedure also contributes to the direction of quick decision adjustment, then through sunykatuib analyses skill
Whether art assessment adjustment result meets design requirement, can effectively shorten time and the cost of product development.
Subsidiary one is mentioned that, if the present invention is also identical execution step using the design in loudspeaker monomer, main poor
Different is that the listed structural parameters of sensitive analysis table will be different, common structural parameters, such as vibrating diaphragm material and chi
The very little, height of magnetic force unit and magnetism intensity, back of the body chamber size etc., to those skilled in the art, can be by aforementioned reality
Apply illustrating for example just to understand completely and implement the method for the present invention in loudspeaker monomer development process.
Additionally, the alignments of step S2 in the middle of initial designs step can also be changed to set by the method for designing of the present invention
Sound quality pointer in meter demand is compared with sound quality data base, that is, changes by sound quality pointer as independence
Screening principle, can equally reach the purpose and effect of the present invention.Those skilled in the art using the present invention for earphone or
When loudspeaker apparatus are designed, the sound quality pointer in design requirement can also be brought into alternatively speaker list directly
The condition of body, to be rapidly completed development process.
Above-described embodiment technology design only to illustrate the invention and feature, its object is to allow person skilled in the art
Scholar will appreciate that present disclosure and implement according to this, can not be limited the scope of the invention with this.It is all according to the present invention
Equivalence changes or modification that spirit is made, should all be included within the scope of the present invention.
Claims (10)
1. the optimal setting method of electro-acoustic product, it is characterised in that comprise the following steps:A) receive to include target frequency sound
Import existing frequency response curve data base to be contrasted after the design requirement for answering curve, selection meets the first of the design requirement
A plurality of structural parameters initial values of beginning frequency response curve and corresponding product model;B) a plurality of frequency separations are distinguished, point
Each frequency separation is not calculated to the Mean Deviation value between the target frequency response curve and the original frequency response curve;C) root
According to each Mean Deviation value correspondence adjustment structural parameters initial value at least one, then the result after adjustment is set as multiple
Several structural parameters adjusted values, obtain a simulation frequency response curve after being emulated, subsequently will be the target frequency response bent
Line is calculated error amount after comparing with the simulation frequency response curve, when the error amount then terminates less than threshold value, conversely, then
The structural parameters adjusted value is replaced into the structural parameters initial value, and the simulation frequency response curve replaces the original frequency
After response curve, step b) is returned to.
2. the optimal setting method of electro-acoustic product according to claim 1, it is characterised in that:The design requirement is also included
There is plurality of sounds CQI, and the comparison of step a) also imports sound quality data base comprising by the sound quality pointer
Carry out screening comparison.
3. the optimal setting method of electro-acoustic product according to claim 1, it is characterised in that:Step b) medium frequencys are interval
Quantity be three, a respectively low frequency is interval, a medium frequency is interval and an altofrequency is interval.
4. the optimal setting method of electro-acoustic product according to claim 1, it is characterised in that:Step c) further includes importing
Sensitive analysis table is determining at least one structural parameters initial value to be adjusted.
5. the optimal setting method of electro-acoustic product according to claim 4, it is characterised in that:The sensitive analysis table is
Obtained by single factor experiment design.
6. the optimal setting method of electro-acoustic product according to claim 1, it is characterised in that:The comparison of step a) is bent
Line similarity is compared.
7. the optimal setting method of electro-acoustic product, it is characterised in that comprise the following steps:A) receive and include target frequency sound
The design requirement of curve and plurality of sounds CQI is answered, the sound quality pointer is imported into sound quality data base afterwards
Compare, then select to meet the original frequency response curve and corresponding product of demand from existing frequency response curve data base
A plurality of structural parameters initial values of model;B) a plurality of frequency separations are distinguished, the target is calculated with regard to each frequency separation respectively
Mean Deviation value between frequency response curve and the original frequency response curve;C) according to each Mean Deviation value correspondence adjustment institute
State structural parameters initial value at least one, then the result after adjustment is set as into a plurality of structural parameters adjusted values, is carried out
Simulation frequency response curve is obtained after emulation, after subsequently comparing the target frequency response curve and the simulation frequency response curve
Error amount is calculated, when the error amount then terminates less than threshold value, conversely, then replacing the structural parameters adjusted value described
Structural parameters initial value, and after the simulation frequency response curve replaces the original frequency response curve, return to step b).
8. the optimal setting method of electro-acoustic product according to claim 7, it is characterised in that:Step b) medium frequencys are interval
Quantity be three, a respectively low frequency is interval, a medium frequency is interval and an altofrequency is interval.
9. the optimal setting method of electro-acoustic product according to claim 7, it is characterised in that:Step c) further includes importing
Sensitive analysis table is determining at least one structural parameters initial value to be adjusted.
10. the optimal setting method of electro-acoustic product according to claim 9, it is characterised in that:The sensitive analysis table
It is using obtained by single factor experiment design.
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CN104252563B (en) * | 2014-09-18 | 2017-04-19 | 浙江工业大学 | Optimization method of silicon preset-capacitance microphone |
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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 |
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 |
CN110321619B (en) * | 2019-06-26 | 2020-09-15 | 深圳技术大学 | Parameterized custom model generation method based on sound data |
CN112133328B (en) * | 2020-08-03 | 2023-07-25 | 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 |
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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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