CN109658356B - Dust removal control platform for peg box - Google Patents
Dust removal control platform for peg box Download PDFInfo
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- CN109658356B CN109658356B CN201811569108.7A CN201811569108A CN109658356B CN 109658356 B CN109658356 B CN 109658356B CN 201811569108 A CN201811569108 A CN 201811569108A CN 109658356 B CN109658356 B CN 109658356B
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- 239000000428 dust Substances 0.000 title claims abstract description 84
- 239000012634 fragment Substances 0.000 claims description 42
- 238000012545 processing Methods 0.000 claims description 42
- 238000001914 filtration Methods 0.000 claims description 29
- 238000001514 detection method Methods 0.000 claims description 18
- 238000013507 mapping Methods 0.000 claims description 13
- 230000011218 segmentation Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 6
- 238000005286 illumination Methods 0.000 claims description 3
- 238000009499 grossing Methods 0.000 claims description 2
- 238000000605 extraction Methods 0.000 claims 6
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000009527 percussion Methods 0.000 description 2
- 241000251468 Actinopterygii Species 0.000 description 1
- 208000023514 Barrett esophagus Diseases 0.000 description 1
- 229910001369 Brass Inorganic materials 0.000 description 1
- 241000405217 Viola <butterfly> Species 0.000 description 1
- 230000003796 beauty Effects 0.000 description 1
- 239000010951 brass Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010410 dusting Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
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- 239000004576 sand Substances 0.000 description 1
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Classifications
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- G06T5/70—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4038—Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10D—STRINGED MUSICAL INSTRUMENTS; WIND MUSICAL INSTRUMENTS; ACCORDIONS OR CONCERTINAS; PERCUSSION MUSICAL INSTRUMENTS; AEOLIAN HARPS; SINGING-FLAME MUSICAL INSTRUMENTS; MUSICAL INSTRUMENTS NOT OTHERWISE PROVIDED FOR
- G10D3/00—Details of, or accessories for, stringed musical instruments, e.g. slide-bars
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
Abstract
The invention relates to a dust removal control platform of a peg box, which comprises: an upper assembly including a headstock, a peg box, and a fingerboard, the headstock disposed above the peg, the peg disposed above the peg; the lower component comprises a panel, a bridge, a trimmer, a tailpiece, a chin rest, a left sound hole and a right sound hole; the left sound hole and the right sound hole are both formed in the panel, the left sound hole and the right sound hole are the same in size, the fine adjuster is connected with the tailpiece, the chin rest is arranged below the tailpiece, and the bridge is arranged between the left sound hole and the right sound hole; and the gear control equipment is arranged in the head chord box and used for determining a corresponding dust removal gear based on the received dust distribution density. By the invention, the dust removal operation of the peg box can be simplified.
Description
Technical Field
The invention relates to the field of stringed instruments, in particular to a dust removal control platform for a peg box.
Background
An stringed instrument is composed of string components: violins, viola, cellos, bass (string bass); the method comprises the following steps: small, round (french), trombone, large; woodwind flute, oboe, clarinet, english pipe, aqueduct, saxophone; plucked music: a harp; percussion music: decide sound drum, triangle iron, xylophone, the celesta, the castanets, the sand hammer, the small service drum, the drum of army, cymbal (big cymbal, little cymbal etc.) gong (Beijing gong, big gong, little gong, cloud gong etc.), wooden fish, husky, the drum, the board, the drum, the chime, , fishing drum plays the constitution together.
Disclosure of Invention
In order to solve the technical problem that the peg box in the prior stringed instrument needs to be opened for dust removal, the invention provides a peg box dust removal control platform, which executes circulating nonlinear filtering processing on an image when the signal-to-noise ratio level of the image does not exceed a preset level threshold value until the signal-to-noise ratio level of the obtained processed image exceeds the preset level threshold value; the method is characterized in that density mapping equipment is introduced and used for taking pixels with brightness values between an upper dust limit threshold and a lower dust limit threshold in an image as dust pixels, and mapping dust distribution density which is in direct proportion to the number of the dust pixels in the signal processing image based on the number of the dust pixels in the image, and gear control equipment is introduced and used for determining corresponding gears for dust removal in the peg box based on the dust distribution density.
According to an aspect of the present invention, there is provided a head boom box dust removal control platform, the platform comprising:
an upper assembly including a headstock, a peg box, and a fingerboard, the headstock disposed above the peg, the peg disposed above the peg; the lower component comprises a panel, a bridge, a trimmer, a tailpiece, a chin rest, a left sound hole and a right sound hole.
More specifically, in the head box dust removal control platform: in the lower component, the left sound hole and the right sound hole are both formed in the panel, and the left sound hole and the right sound hole are the same in size.
More specifically, in the head box dust removal control platform: in the lower assembly, the trimmer is connected to the tailpiece, and the chin rest is disposed below the tailpiece; wherein, in the lower component, the bridge is disposed between the left and right sound holes.
More specifically, in the dust removal control platform for a peg box, the dust removal control platform for a peg box further comprises:
the gear control equipment is arranged in the head chord box, is connected with the density mapping equipment and is used for determining a corresponding dust removal gear based on the received dust distribution density; the embedded camera is arranged in the peg box and comprises an illumination light source, a lens base, a lens group and an image sensor, and the embedded camera is used for performing camera shooting action on the peg box so as to obtain a corresponding peg box collected image; the bilinear interpolation equipment is connected with the embedded camera and used for receiving the images acquired by the head box and executing bilinear interpolation processing on the images acquired by the head box so as to obtain bilinear interpolation images; the content detection device is connected with the bilinear interpolation device and used for detecting a maximum target in the bilinear interpolation image, taking a region occupied by the maximum target in the bilinear interpolation image as a target image region corresponding to the bilinear interpolation image, performing signal-to-noise ratio analysis on the target image region to obtain a corresponding signal-to-noise ratio grade, and outputting the signal-to-noise ratio grade; the signal distinguishing device is connected with the content detection device and used for receiving the signal-to-noise ratio grade, sending a first control signal when the signal-to-noise ratio grade does not exceed a preset grade threshold value, and sending a second control signal when the signal-to-noise ratio grade exceeds a preset grade threshold value; a signal processing device, connected to the signal discrimination device and the content detection device, respectively, for performing a loop-type nonlinear filtering process on the bilinear interpolation image until a signal-to-noise ratio level of the acquired processed image exceeds a preset level threshold upon receiving a first control signal, and outputting the acquired processed image as a signal processing image; the density mapping equipment is connected with the signal processing equipment and is used for taking pixel points with brightness values between an upper dust limit threshold and a lower dust limit threshold in the signal processing image as dust pixel points and mapping dust distribution density which is in direct proportion to the number of the dust pixel points in the signal processing image based on the number of the dust pixel points in the signal processing image; the dust removal executing equipment is arranged in the head box, is connected with the gear control equipment and is used for realizing dust removal processing in the head box based on the determined dust removal gear; the content detection device comprises a content receiving sub-device, a target dividing sub-device, a grade analysis sub-device and a data output sub-device; wherein, in the content detection device, the content receiving sub-device is configured to receive the bilinear interpolation image, and the target segmentation sub-device is connected to the content receiving sub-device and configured to take a region occupied by the maximum target in the bilinear interpolation image as a target image region corresponding to the bilinear interpolation image.
More specifically, in the head box dust removal control platform: in the content detection device, the level analysis sub-device is respectively connected to the target segmentation sub-device and the data output sub-device, and is configured to perform signal-to-noise ratio level analysis on the target image region to obtain a corresponding signal-to-noise ratio level.
More specifically, in the head box dust removal control platform: the signal processing apparatus is further configured to output the bilinear interpolation image as a signal processing image upon receiving a second control signal.
Detailed Description
Embodiments of the peg box dusting control platform of the present invention will be described in detail below.
The orchestral instruments need a sound with higher quality when playing, however, the orchestral instruments comprise a plurality of different types of instruments, and all the instruments have different characteristics and personalities, so that not only the composers need to reasonably adjust the formulation, namely the timbre, of the instruments when writing the symphony musical works, but also the seat arrangement of the instruments needs to consider the appearance beauty and the coordination and color coordination of the instruments when playing music, therefore, a plurality of commanders and instrument players in the world basically find a reasonable seat arrangement principle after research and experiment of over a hundred years.
The string music group is the basis of the whole stringed instrument, and the timbre of the string music group gives people a sense of intimacy, so that the seats are generally arranged in front of the stage and closest to the audience. Since woodwind instruments are of many types and have prominent timbres, they need to be arranged behind the string instrument set in different types and in the middle of the band.
Brass and percussion instruments are loud and irritating, so they are arranged at the rearmost or rear side of the band. Harps and other plucked instruments are often arranged on the left rear side of the band.
In order to overcome the defects, the invention builds the dust removal control platform of the peg box, and can effectively solve the corresponding technical problem.
According to the embodiment of the invention, the dust removal control platform of the peg box comprises:
an upper assembly including a headstock, a peg box, and a fingerboard, the headstock disposed above the peg, the peg disposed above the peg;
the lower component comprises a panel, a bridge, a trimmer, a tailpiece, a chin rest, a left sound hole and a right sound hole.
Next, a detailed description will be given of the structure of the peg box dust removal control platform according to the present invention.
In the head box dust removal control platform: in the lower component, the left sound hole and the right sound hole are both formed in the panel, and the left sound hole and the right sound hole are the same in size.
In the head box dust removal control platform: in the lower assembly, the trimmer is connected to the tailpiece, and the chin rest is disposed below the tailpiece;
wherein, in the lower component, the bridge is disposed between the left and right sound holes.
In the peg box dust removal control platform, still include:
the gear control equipment is arranged in the head chord box, is connected with the density mapping equipment and is used for determining a corresponding dust removal gear based on the received dust distribution density;
the embedded camera is arranged in the peg box and comprises an illumination light source, a lens base, a lens group and an image sensor, and the embedded camera is used for performing camera shooting action on the peg box so as to obtain a corresponding peg box collected image;
the bilinear interpolation equipment is connected with the embedded camera and used for receiving the images acquired by the head box and executing bilinear interpolation processing on the images acquired by the head box so as to obtain bilinear interpolation images;
the content detection device is connected with the bilinear interpolation device and used for detecting a maximum target in the bilinear interpolation image, taking a region occupied by the maximum target in the bilinear interpolation image as a target image region corresponding to the bilinear interpolation image, performing signal-to-noise ratio analysis on the target image region to obtain a corresponding signal-to-noise ratio grade, and outputting the signal-to-noise ratio grade;
the signal distinguishing device is connected with the content detection device and used for receiving the signal-to-noise ratio grade, sending a first control signal when the signal-to-noise ratio grade does not exceed a preset grade threshold value, and sending a second control signal when the signal-to-noise ratio grade exceeds a preset grade threshold value;
a signal processing device, connected to the signal discrimination device and the content detection device, respectively, for performing a loop-type nonlinear filtering process on the bilinear interpolation image until a signal-to-noise ratio level of the acquired processed image exceeds a preset level threshold upon receiving a first control signal, and outputting the acquired processed image as a signal processing image;
the density mapping equipment is connected with the signal processing equipment and is used for taking pixel points with brightness values between an upper dust limit threshold and a lower dust limit threshold in the signal processing image as dust pixel points and mapping dust distribution density which is in direct proportion to the number of the dust pixel points in the signal processing image based on the number of the dust pixel points in the signal processing image;
the dust removal executing equipment is arranged in the head box, is connected with the gear control equipment and is used for realizing dust removal processing in the head box based on the determined dust removal gear;
the content detection device comprises a content receiving sub-device, a target dividing sub-device, a grade analysis sub-device and a data output sub-device;
wherein, in the content detection device, the content receiving sub-device is configured to receive the bilinear interpolation image, and the target segmentation sub-device is connected to the content receiving sub-device and configured to take a region occupied by the maximum target in the bilinear interpolation image as a target image region corresponding to the bilinear interpolation image.
In the head box dust removal control platform: in the content detection device, the level analysis sub-device is respectively connected to the target segmentation sub-device and the data output sub-device, and is configured to perform signal-to-noise ratio level analysis on the target image region to obtain a corresponding signal-to-noise ratio level.
In the head box dust removal control platform: the signal processing apparatus is further configured to output the bilinear interpolation image as a signal processing image upon receiving a second control signal.
In the peg box dust removal control platform, still include:
fragment operating equipment, located between the embedded camera and the bilinear interpolation equipment, for receiving the peg box collected image, obtaining a red channel value of each pixel point in the peg box collected image, determining a gradient of each direction of the red channel value of each pixel point as a red channel value gradient, determining scene complexity corresponding to the peg box collected image based on the red channel value gradient of each pixel point, determining the number of image fragments for equally dividing the peg box collected image based on the scene complexity when the received scene complexity is greater than or equal to a preset complexity threshold, the higher the scene complexity is, the more the number of image fragments for equally dividing the peg box collected image is, and performing filtering processing operation based on an image fragment noise amplitude value on each image fragment to obtain each filtering fragment, the smaller the noise amplitude of the image fragments is, the smaller the filtering processing operation intensity performed on the image fragments is, performing the splicing operation of the smoothing processing on the splicing positions on the filtering fragments to obtain fragment operation images, and the fragment operation device is further configured to perform the filtering operation on the full-width images of the peg box acquired images to obtain the fragment operation images when the received scene complexity is smaller than a preset complexity threshold, and send the fragment operation images to the bilinear interpolation device in place of the peg box acquired images.
In the head box dust removal control platform: the fragment operation device comprises a channel value capturing sub-device, a complexity analyzing sub-device and a fragment filtering sub-device, wherein the channel value capturing sub-device is connected with the complexity analyzing sub-device, and the fragment filtering sub-device is connected with the complexity analyzing sub-device;
the channel value capturing sub-device is used for obtaining red channel values of all pixel points in the acquired images of the peg box.
In the head box dust removal control platform: the complexity analysis sub-device is used for determining gradients of the red channel values of each pixel point in all directions to serve as red channel value gradients, and determining scene complexity corresponding to the acquired images of the peg box based on the red channel value gradients of the pixel points.
In the head box dust removal control platform: the fragment filtering sub-device is used for when the received scene complexity is greater than or equal to a preset complexity threshold, determining a number of image patches for an average segmentation of the chordal box acquired image based on the scene complexity, the higher the scene complexity, the more image fragments are obtained by averagely dividing the acquired images of the head box, the smaller the noise amplitude of the image fragments is, the smaller the intensity of the filtering processing operation performed on the image patches is, the more smoothly the splicing operation at the splicing is performed on the respective filtering patches to obtain patch operation images, and the fragment filtering sub-device is further configured to, when the received scene complexity is smaller than a preset complexity threshold, and performing a filtering operation on the full image of the acquired image of the head box to obtain a fragment operation image.
In addition, a PAL device may be selected to implement the density mapping device. The basic structure of a PAL device feeds a programmable and array output product term to an or array, and the logic expression implemented by the PAL device has the form of a sum of products, and thus can describe any boolean transfer function.
PAL devices are built internally of five basic types: (1) a basic array structure; (2) a programmable I/O structure; (3) a register output structure with feedback; (4) an exclusive or structure: (5) an arithmetic functional structure.
By adopting the dust removal control platform for the peg box, aiming at the technical problem that the peg box needs to be opened for dust removal in the peg box in the prior art, when the signal-to-noise ratio level of an image does not exceed a preset level threshold, the image is subjected to circulating nonlinear filtering processing until the signal-to-noise ratio level of the obtained processed image exceeds the preset level threshold; the method is characterized in that density mapping equipment is introduced for taking pixels with brightness values between an upper dust limit threshold and a lower dust limit threshold in an image as dust pixels, the dust distribution density which is in direct proportion to the number is mapped based on the number of the dust pixels in the signal processing image, and gear control equipment is also introduced for determining corresponding gears for dust removal in the head box based on the dust distribution density; thereby solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (7)
1. A chordal box dust extraction control platform apparatus, said platform comprising:
an upper assembly including a headstock, a peg box, and a fingerboard, the headstock disposed above the peg, the peg disposed above the peg;
the lower component comprises a panel, a bridge, a trimmer, a tailpiece, a chin rest, a left sound hole and a right sound hole;
in the lower component, the left sound hole and the right sound hole are both provided with holes on the panel, and the left sound hole and the right sound hole have the same size;
in the lower assembly, the trimmer is connected to the tailpiece, and the chin rest is disposed below the tailpiece;
wherein, in the lower assembly, the bridge is disposed between the left and right sound holes;
the gear control equipment is arranged in the head chord box, is connected with the density mapping equipment and is used for determining a corresponding dust removal gear based on the received dust distribution density;
the embedded camera is arranged in the peg box and comprises an illumination light source, a lens base, a lens group and an image sensor, and the embedded camera is used for performing camera shooting action on the peg box so as to obtain a corresponding peg box collected image;
the bilinear interpolation equipment is connected with the embedded camera and used for receiving the images acquired by the head box and executing bilinear interpolation processing on the images acquired by the head box so as to obtain bilinear interpolation images;
the content detection device is connected with the bilinear interpolation device and used for detecting a maximum target in the bilinear interpolation image, taking a region occupied by the maximum target in the bilinear interpolation image as a target image region corresponding to the bilinear interpolation image, performing signal-to-noise ratio analysis on the target image region to obtain a corresponding signal-to-noise ratio grade, and outputting the signal-to-noise ratio grade;
the signal distinguishing device is connected with the content detection device and used for receiving the signal-to-noise ratio grade, sending a first control signal when the signal-to-noise ratio grade does not exceed a preset grade threshold value, and sending a second control signal when the signal-to-noise ratio grade exceeds a preset grade threshold value;
a signal processing device, connected to the signal discrimination device and the content detection device, respectively, for performing a loop-type nonlinear filtering process on the bilinear interpolation image until a signal-to-noise ratio level of the acquired processed image exceeds a preset level threshold upon receiving a first control signal, and outputting the acquired processed image as a signal processing image;
the density mapping equipment is connected with the signal processing equipment and is used for taking pixel points with brightness values between an upper dust limit threshold and a lower dust limit threshold in the signal processing image as dust pixel points and mapping dust distribution density which is in direct proportion to the number of the dust pixel points in the signal processing image based on the number of the dust pixel points in the signal processing image;
the dust removal executing equipment is arranged in the head box, is connected with the gear control equipment and is used for realizing dust removal processing in the head box based on the determined dust removal gear;
the content detection device comprises a content receiving sub-device, a target dividing sub-device, a grade analysis sub-device and a data output sub-device;
wherein, in the content detection device, the content receiving sub-device is configured to receive the bilinear interpolation image, and the target segmentation sub-device is connected to the content receiving sub-device and configured to take a region occupied by the maximum target in the bilinear interpolation image as a target image region corresponding to the bilinear interpolation image.
2. The chordal box dust extraction control platform apparatus of claim 1, wherein:
in the content detection device, the level analysis sub-device is respectively connected to the target segmentation sub-device and the data output sub-device, and is configured to perform signal-to-noise ratio level analysis on the target image region to obtain a corresponding signal-to-noise ratio level.
3. The chordal box dust extraction control platform apparatus of claim 2, wherein:
the signal processing apparatus is further configured to output the bilinear interpolation image as a signal processing image upon receiving a second control signal.
4. The chordal box dust extraction control platform apparatus of claim 3, the platform further comprising:
fragment operating equipment, located between the embedded camera and the bilinear interpolation equipment, for receiving the peg box collected image, obtaining a red channel value of each pixel point in the peg box collected image, determining a gradient of each direction of the red channel value of each pixel point as a red channel value gradient, determining scene complexity corresponding to the peg box collected image based on the red channel value gradient of each pixel point, determining the number of image fragments for equally dividing the peg box collected image based on the scene complexity when the received scene complexity is greater than or equal to a preset complexity threshold, the higher the scene complexity is, the more the number of image fragments for equally dividing the peg box collected image is, and performing filtering processing operation based on an image fragment noise amplitude value on each image fragment to obtain each filtering fragment, the smaller the noise amplitude of the image fragments is, the smaller the filtering processing operation intensity performed on the image fragments is, performing the splicing operation of the smoothing processing on the splicing positions on the filtering fragments to obtain fragment operation images, and the fragment operation device is further configured to perform the filtering operation on the full-width images of the peg box acquired images to obtain the fragment operation images when the received scene complexity is smaller than a preset complexity threshold, and send the fragment operation images to the bilinear interpolation device in place of the peg box acquired images.
5. The chordal box dust extraction control platform apparatus of claim 4, wherein:
the fragment operation device comprises a channel value capturing sub-device, a complexity analyzing sub-device and a fragment filtering sub-device, wherein the channel value capturing sub-device is connected with the complexity analyzing sub-device, and the fragment filtering sub-device is connected with the complexity analyzing sub-device;
the channel value capturing sub-device is used for obtaining red channel values of all pixel points in the acquired images of the peg box.
6. The chordal box dust extraction control platform apparatus of claim 5, wherein:
the complexity analysis sub-device is used for determining gradients of the red channel values of each pixel point in all directions to serve as red channel value gradients, and determining scene complexity corresponding to the acquired images of the peg box based on the red channel value gradients of the pixel points.
7. The apparatus of claim 6, wherein:
the fragment filtering sub-device is used for when the received scene complexity is greater than or equal to a preset complexity threshold, determining a number of image patches for an average segmentation of the chordal box acquired image based on the scene complexity, the higher the scene complexity, the more image fragments are obtained by averagely dividing the acquired images of the head box, the smaller the noise amplitude of the image fragments is, the smaller the intensity of the filtering processing operation performed on the image patches is, the more smoothly the splicing operation at the splicing is performed on the respective filtering patches to obtain patch operation images, and the fragment filtering sub-device is further configured to, when the received scene complexity is smaller than a preset complexity threshold, and performing a filtering operation on the full image of the acquired image of the head box to obtain a fragment operation image.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN202125956U (en) * | 2011-06-13 | 2012-01-25 | 杭州杭锅工业锅炉有限公司 | High-effect string type heating surface vibrating-hitting deashing device |
| CN208141805U (en) * | 2018-04-20 | 2018-11-23 | 张玲娟 | A kind of device that guitar qin chamber is convenient to clean |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201181567Y (en) * | 2008-03-12 | 2009-01-14 | 江水运 | Multi-quint violin |
| US8444106B1 (en) * | 2011-11-08 | 2013-05-21 | Stephen S. Sloop | Stake-mounted turkey pot call holder |
| CN206685101U (en) * | 2017-02-28 | 2017-11-28 | 泰州裕泰乐器有限公司 | A kind of playing type violin |
| CN206685102U (en) * | 2017-02-28 | 2017-11-28 | 泰州裕泰乐器有限公司 | A kind of key type violin |
-
2018
- 2018-12-21 CN CN201811569108.7A patent/CN109658356B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202125956U (en) * | 2011-06-13 | 2012-01-25 | 杭州杭锅工业锅炉有限公司 | High-effect string type heating surface vibrating-hitting deashing device |
| CN208141805U (en) * | 2018-04-20 | 2018-11-23 | 张玲娟 | A kind of device that guitar qin chamber is convenient to clean |
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