CN114440978A - Toothbrush cleaning effect testing method and computer readable storage medium - Google Patents

Toothbrush cleaning effect testing method and computer readable storage medium Download PDF

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CN114440978A
CN114440978A CN202210109142.6A CN202210109142A CN114440978A CN 114440978 A CN114440978 A CN 114440978A CN 202210109142 A CN202210109142 A CN 202210109142A CN 114440978 A CN114440978 A CN 114440978A
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sample
original
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cleaned
toothbrush
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CN114440978B (en
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杨武
许菲菲
马婀娜
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Hi P Shanghai Household Appliances Products Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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Abstract

A toothbrush cleaning effect test method and a computer readable storage medium, the method comprising: providing an original sample, coloring the original sample, brushing and cleaning the original sample by a toothbrush, and respectively measuring component values of color spaces of the original sample, the colored sample and the cleaned sample and roughness of the original sample and the cleaned sample; calculating the color difference delta E between the original swatch and the colored swatchFirst stageAnd a color difference Δ E between the original swatch and the cleaned swatchMedicine for treating acute respiratory syndrome(ii) a According to Δ EFirst stageAnd Delta EMedicine for treating acute respiratory syndromeAnd evaluating, and obtaining a roughness difference value Delta Ra according to the roughness of the original sample wafer and the roughness of the cleaned sample wafer when the evaluation results of the two are beyond a first set rangeDifference (D)By Δ RaDifference (D)、ΔEFirst stageAnd Delta EMedicine for treating acute respiratory syndromeAnd comprehensively comparing to obtain an evaluation result. The method is simple, and the cleaning effect of the toothbrush can be comprehensively evaluated on the whole.

Description

Toothbrush cleaning effect testing method and computer readable storage medium
Technical Field
The invention relates to the technical field of toothbrushes, in particular to a toothbrush cleaning effect testing method and a computer-readable storage medium.
Background
The toothbrush is one of daily necessities of people, and along with the concern of people on tooth health, the cleaning effect of the toothbrush also becomes one of important standards when people choose the toothbrush. The existing toothbrush cleaning effect test method generally obtains a comparative value of cleaning force by simulating dental plaque coloring and mechanically comparing effective area/weight and other data before and after cleaning. But the method is more complicated. Further, when comparing the plaque, the detection is generally performed by manual observation or an optical instrument, which can only compare the change of the plaque in two dimensions, and cannot evaluate the cleaning effect of the toothbrush in the depth direction.
Disclosure of Invention
The invention provides a toothbrush cleaning effect test method and a computer readable storage medium, the toothbrush cleaning effect test method is simple, and the cleaning effect of a toothbrush can be comprehensively evaluated on the whole.
The invention provides a toothbrush cleaning effect testing method, which is characterized by comprising the following steps: the method comprises the following steps:
s1: providing an original sample, measuring component values of a color space of the original sample, and a roughness Ra of the original sampleOriginal source
S2: coloring the original sample to obtain a colored sample, and measuring component values of a color space of the colored sample;
s3: brushing the colored sample by a toothbrush according to a set mode to obtain a cleaned sample;
s4: measuring component values of the color space of the cleaned sample wafer and roughness RaMedicine for treating acute respiratory syndrome
S5: obtaining the color difference delta E between the original sample and the colored sample according to the component values of the color spaces of the original sample, the colored sample and the clean sampleFirst stageAnd obtaining the color difference delta E between the original sample and the cleaned sample according to the component values of the color spaces of the original sample and the cleaned sampleMedicine for treating acute respiratory syndrome
S6: according to the color difference delta E between the original sample and the colored sampleFirst stageAnd the color difference delta E between the original sample and the cleaned sampleMedicine for treating acute respiratory syndromePerforming evaluation, and when the evaluation results of the two exceed a first set range, entering the step S7;
s7: obtaining a roughness difference value delta Ra according to the roughness of the original sample wafer and the roughness of the cleaned sample waferDifference (D)By said roughness difference Δ RaDifference (D)A color difference delta E between the original sample and the colored sampleFirst stageAnd the color difference delta E between the original sample and the cleaned sampleMedicine for treating acute respiratory syndromeAnd comprehensively comparing to obtain an evaluation result.
Further, in the steps S1, S2, and S4, the L, a, and b components of the original sample, the colored sample, and the cleaned sample are measured by a color difference meter, respectively.
Further, adopt
Figure BDA0003494503440000021
Calculating the color difference delta E between the original sample and the colored sampleFirst stage(ii) a Wherein L isOriginal source、aOriginal sourceAnd bOriginal sourceRespectively the component values L, a and b of the original sample wafer, LIs facing、aIs onAnd bIs facingRespectively the component values of L, a and b of the coloring sample;
by using
Figure BDA0003494503440000022
Calculating the color difference delta E between the original sample and the cleaned sampleMedicine for treating acute respiratory syndromeWherein L isOriginal source、aOriginal sourceAnd bOriginal sourceRespectively the component values L, a and b of the original sample wafer, LMedicine for treating acute respiratory syndrome、aMedicine for treating acute respiratory syndromeAnd bMedicine for treating psoriasisThe values of the L, a and b components of the cleaned sample are shown.
Further, in step S3, the stained swatch is brushed according to the Pasteur brushing method and Roche brushing method for 2-5 min.
Further, in step S6, P is usedIs divided into=100*(1-ΔEMedicine for treating acute respiratory syndrome/ΔEFirst stage) For the color difference delta E between the original sample and the colored sampleFirst stageAnd the color difference delta E between the original sample and the cleaned sampleMedicine for treating acute respiratory syndromeCarrying out evaluation; when P is presentIs divided intoWhen the temperature of the liquid crystal exceeds the first set range,the process proceeds to step S7.
Further, in step S7, P is usedIs divided into=100*(1-ΔEMedicine for treating acute respiratory syndrome/ΔEFirst stage)*(1+ΔRaDifference (D)/RaOriginal source) The cleaning effect of the toothbrush was evaluated comprehensively, where Δ RaDifference (D)=RaOriginal source-RaMedicine for treating psoriasis
Further, when Δ RaDifference (D)When the value is larger than the first set value, the risk of tooth abrasion needs to be prompted to the toothbrush while the evaluation result is obtained.
Further, when the coloring is performed, a color difference Δ E between the original sample and the colored sampleFirst stageThe control is in the range of 40 +/-2.
Further, the method is carried out with the roughness Ra of the original sample waferOriginal sourceThe thickness is controlled within 25 +/-5 mu m.
The invention also provides a computer scale storage medium which comprises the program code for testing the toothbrush cleaning effect, and the program code for testing the toothbrush cleaning effect is executed by the processing unit to realize the steps of the toothbrush cleaning effect testing method.
In conclusion, in the toothbrush cleaning effect testing method provided by the invention, the cleaning effect of the toothbrush can be accurately evaluated by comprehensively utilizing the color difference and the roughness difference.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a schematic flow chart illustrating steps of a toothbrush cleaning effect testing method according to an embodiment of the present invention.
FIG. 2 is a schematic diagram showing the comparison of the original sample, the colored sample and the cleaned sample in FIG. 1.
Detailed Description
To further explain the technical means and effects of the present invention adopted to achieve the predetermined objects, the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.
The invention provides a toothbrush cleaning effect test method and a computer readable storage medium, the toothbrush cleaning effect test method is simple, and the cleaning effect of a toothbrush can be comprehensively evaluated on the whole.
Fig. 1 is a schematic flow chart illustrating steps of a toothbrush cleaning effect testing method according to an embodiment of the present invention, and fig. 2 is a schematic comparison diagram illustrating an original sample, a colored sample, and a cleaned sample in fig. 1. As shown in fig. 1 and 2, the toothbrush cleaning effect testing method provided by the invention comprises the following steps:
s1: providing an original sample wafer, and measuring the component value of the color space of the original sample wafer and the roughness of the original sample wafer;
in this step, the L, a, b components of the original sample can be measured by a color difference meter, and in the following measurement step, the measured components are the same as in the step S1. In other embodiments, R, G, B components or other components may also be measured. The roughness of the original sample wafer can be measured by a roughness measuring instrument.
S2: coloring the original sample to obtain a colored sample, and measuring the component value of the color space of the colored sample;
in this step, the colorimetric or natural colorant may be uniformly cured on the original swatch to complete the coloration of the original swatch.
Further, in order to more accurately measure the subsequent steps, in the present embodiment, the color difference value between the original sample and the colored sample needs to be controlled within a range of 40 ± 2.
S3: brushing the colored sample sheet by a toothbrush according to a set mode to obtain a cleaned sample sheet;
in this step, the colored sample can be brushed according to the Papanicolaou brushing method and Roche brushing method, and the brushing time can be 2-5 min.
S4: measuring component values of the color space of the cleaned sample wafer and the roughness of the cleaned sample wafer;
s5: obtaining the color difference delta E between the original sample and the colored sample according to the component values of the color spaces of the original sample and the colored sampleFirst stageAnd obtaining the color difference delta E between the original sample and the cleaned sample according to the component values of the color spaces of the original sample and the cleaned sampleMedicine for treating acute respiratory syndrome
Taking the components L, a, b as an example, the color difference Δ E between the original swatch and the colored swatchFirst stageComprises the following steps:
Figure BDA0003494503440000051
wherein: delta EFirst stageThe color difference between the original sample and the colored sample is obtained;
Loriginal source、aOriginal sourceAnd bOriginal sourceRespectively representing the component values of L, a and b of the original sample;
Lis facing、aIs facingAnd bIs facingThe values of the L, a, and b components of the colored sample are shown.
Color difference delta E between original and cleaned swatchesMedicine for treating acute respiratory syndromeComprises the following steps:
Figure BDA0003494503440000052
wherein: delta EMedicine for treating acute respiratory syndromeThe color difference between the original sample wafer and the cleaned sample wafer is obtained;
Loriginal source、aOriginal sourceAnd bOriginal sourceRespectively representing the component values of L, a and b of the original sample;
Lmedicine for treating acute respiratory syndrome、aMedicine for treating acute respiratory syndromeAnd bMedicine for treating psoriasisThe values of the L, a and b components of the cleaned sample are shown.
S6: according to the color difference Delta E between the original sample and the colored sampleFirst stageAnd the color difference Δ E between the original swatch and the cleaned swatchMedicine for treating psoriasisPerforming evaluation, and when the evaluation results of the two are beyond the first range, entering the step S7;
in this embodiment, theThe color difference delta E between the original sample and the colored sample is obtained by the following formulaFirst stageAnd the color difference delta E between the original sample and the cleaned sampleMedicine for treating acute respiratory syndromeEvaluation was carried out:
Pcolor(s)=(1-ΔEMedicine for treating acute respiratory syndrome/ΔEFirst stage)
Wherein P isColor(s)Is the color difference Delta E between the original sample and the colored sampleFirst stageAnd the color difference Δ E between the original swatch and the cleaned swatchMedicine for treating acute respiratory syndromeThe comparison value of (1).
Further, the comparison value may be converted in a percentile system to obtain a percentile score, i.e. P when considering the color difference factor aloneIs divided into=100PColor(s)
When P is presentIs divided intoWhen the score is within the first set range, for example, less than 60, the cleaning effect of the toothbrush is directly scored according to the score. By the above-mentioned method, PIs divided intoThe smaller, the smaller is represented by Delta EFirst stageAnd Delta EMedicine for treating acute respiratory syndromeThe closer together (in this way,. DELTA.E)Medicine for treating acute respiratory syndromeMust be less than Δ EFirst stageThus, Δ EMedicine for treating acute respiratory syndrome/ΔEFirst stageIs greater than 0 and less than 1), i.e., the less effective the toothbrush will clean. When the score is less than 60, this represents a failure of the pigmented coating to clean up well. In other words, a smaller score represents a poorer performance of the toothbrush.
When P is presentIs divided intoIf the value exceeds the first predetermined range, for example, greater than 60, the process proceeds to step S7. Since when P is presentIs divided intoLarger, this represents Δ EFirst stageAnd Delta EMedicine for treating acute respiratory syndromeThe difference is large, at which point the pigmented coating can be cleaned well. The toothbrush cleaning effect can be further evaluated by the factors of the thickness, the area and the like of the coloring layer.
S7: obtaining the roughness difference value Delta Ra according to the roughness of the original sample wafer and the roughness of the cleaned sample waferDifference (D)By the roughness difference Δ RaDifference (D)The color difference delta E between the original sample and the colored sampleBeginning of the designAnd the color difference Delta E between the original sample and the cleaned sampleMedicine for treating acute respiratory syndromeAnd comprehensively comparing to obtain an evaluation result.
In the present embodiment, the roughness difference value can be expressed by the following formula:
ΔRadifference (D)=RaOriginal source-RaMedicine for treating acute respiratory syndrome
Wherein: delta RaDifference (D)The roughness of the original sample wafer and the roughness difference of the cleaned sample wafer are obtained;
Raoriginal sourceRoughness of the original sample wafer;
Ramedicine for treating acute respiratory syndromeRoughness of the cleaned coupons.
When Δ RaDifference betweenWhen the surface roughness of the cleaned sample is less than 0, it indicates that the surface roughness of the cleaned sample is rougher than that of the original sample, the toothbrush fails to effectively remove the colorant, and the cleaning ability of the toothbrush is poor.
When Δ RaDifference (D)When the surface roughness of the cleaned sample wafer is equal to 0, the surface roughness of the cleaned sample wafer is consistent with the roughness of the original sample wafer, the toothbrush removes the colorant, and the cleaning effect is good;
when Δ RaDifference betweenWhen the surface roughness of the cleaned sample wafer is larger than 0 and smaller than a first set value, for example, when the surface roughness of the cleaned sample wafer is smaller than 10, the surface roughness of the cleaned sample wafer is better than that of the original sample wafer, and the toothbrush not only removes the coloring agent, but also has a certain grinding effect;
when Δ RaDifference (D)Above a first set point, for example above 10, the surface roughness of the sample after surface cleaning is significantly better than the original swatch, the toothbrush not only removes the colorant but also provides a fine grind on the swatch, and special reminders are given in the final evaluation considering the risk that excessive cleaning power of the toothbrush may lead to tooth wear.
Further, in performing the overall evaluation of the integration, it may adopt the following formula:
Pis divided into=100PColor(s)*(1+ΔRaDifference (D)/RaOriginal source)。
In the present embodiment, the signal is passed through (1+ Δ Ra)Difference (D)/RaOriginal source) So that (1+ Δ Ra)Difference (D)/RaOriginal source) With Δ RaDifference (D)Is increased by an increase of Δ RaDifference (D)Less than 0, (1+ Δ Ra)Difference (D)/RaOriginal source) Less than 1, and in Δ RaDifference (D)Greater than 0, (1+ Δ Ra)Difference (D)/RaOriginal source) Greater than 1.
Thus, it is possible to provideThe final evaluation result was PIs divided intoThe higher the cleaning effectiveness test score of the toothbrush, but at Δ RaDifference (D)If the number is more than 10, the toothbrush needs to be subjected to risk indication of tooth wear while obtaining an evaluation result.
In order to be able to better evaluate the cleaning effect, the roughness of the original coupon needs to be controlled within 25 ± 5 μm.
Further, as shown in fig. 2, in order to more accurately respond to the toothbrush cleaning test effect, a plurality of points (indicated by circles in fig. 2) are selected from the original sample (e.g., the a sheet in fig. 2) and measured, and the selected points are measured on the subsequent colored sample (e.g., the B sheet in fig. 2) and the cleaned sample (e.g., the C sheet in fig. 2), and the component values of the color spaces of the original sample, the colored sample and the cleaned sample and the roughness of the original sample and the cleaned sample are obtained by using the average value, such as the arithmetic average value or the geometric average value, of the plurality of measured points.
In conclusion, in the toothbrush cleaning effect testing method provided by the invention, the cleaning effect of the toothbrush can be accurately evaluated by comprehensively utilizing the color difference and the roughness difference.
The invention also provides a computer readable storage medium, which comprises program codes for testing the toothbrush cleaning effect, and the program codes for testing the toothbrush cleaning effect are executed by the processing unit to realize the steps of the toothbrush cleaning effect testing method.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A toothbrush cleaning effect test method is characterized in that: the method comprises the following steps:
s1: providing an original sample, measuring component values of a color space of the original sample, and a roughness Ra of the original sampleOriginal source
S2: coloring the original sample to obtain a colored sample, and measuring component values of a color space of the colored sample;
s3: brushing the colored sample by a toothbrush according to a set mode to obtain a cleaned sample;
s4: measuring component values of the color space of the cleaned sample wafer and roughness RaMedicine for treating acute respiratory syndrome
S5: obtaining the color difference delta E between the original sample and the colored sample according to the component values of the color spaces of the original sample, the colored sample and the cleaned sampleFirst stageAnd obtaining the color difference delta E between the original sample and the cleaned sample according to the component values of the color spaces of the original sample and the cleaned sampleMedicine for treating acute respiratory syndrome
S6: according to the color difference delta E between the original sample and the colored sampleFirst stageAnd the color difference delta E between the original sample and the cleaned sampleMedicine for treating acute respiratory syndromePerforming evaluation, and when the evaluation results of the two exceed a first set range, entering the step S7;
s7: obtaining a roughness difference value delta Ra according to the roughness of the original sample wafer and the roughness of the cleaned sample waferDifference (D)By said roughness difference Δ RaDifference (D)A color difference delta E between the original sample and the colored sampleFirst stageAnd the color difference delta E between the original sample and the cleaned sampleMedicine for treating psoriasisAnd comprehensively comparing to obtain an evaluation result.
2. The toothbrush cleaning effect test method according to claim 1, characterized in that: in the steps S1, S2, and S4, the L, a, and b components of the original sample, the colored sample, and the cleaned sample are measured by a color difference meter, respectively.
3. The toothbrush cleaning effect test method according to claim 2, characterized in that: by using
Figure FDA0003494503430000011
Calculating the color difference delta E between the original sample and the colored sampleFirst stage(ii) a Wherein L isOriginal source、aOriginal sourceAnd bOriginal sourceRespectively the component values L, a and b of the original sample wafer, LIs facing、aIs onAnd bIs facingRespectively the component values of L, a and b of the coloring sample;
by using
Figure FDA0003494503430000021
Calculating the color difference delta E between the original sample and the cleaned sampleMedicine for treating acute respiratory syndromeWherein L isOriginal source、aOriginal sourceAnd bOriginal sourceRespectively the component values L, a and b of the original sample wafer, LMedicine for treating psoriasis、aMedicine for treating acute respiratory syndromeAnd bMedicine for treating acute respiratory syndromeThe values of the L, a and b components of the cleaned sample are shown.
4. The toothbrush cleaning effect test method according to claim 1, wherein: in step S3, brushing the stained swatch according to the Pasteur brushing method and Roche brushing method for 2-5 min.
5. The toothbrush cleaning effect test method according to claim 1, characterized in that: in step S6, P is usedIs divided into=100*(1-ΔEMedicine for treating psoriasis/ΔEFirst stage) For the color difference delta E between the original sample and the colored sampleFirst stageAnd a color difference Δ E between the original swatch and the cleaned swatchMedicine for treating acute respiratory syndromeCarrying out evaluation; when P is presentIs divided intoIf the first setting range is exceeded, the process proceeds to step S7.
6. Toothbrush cleaning effectiveness test according to claim 5The method is characterized in that: in step S7, P is adoptedIs divided into=100*(1-ΔEMedicine for treating acute respiratory syndrome/ΔEFirst stage)*(1+ΔRaDifference (D)/RaOriginal source) The cleaning effect of the toothbrush was comprehensively evaluated, wherein Δ RaDifference (D)=RaOriginal source-RaMedicine for treating acute respiratory syndrome
7. The toothbrush cleaning effect test method according to claim 6, characterized in that: when the said Δ RaDifference (D)When the value is larger than the first set value, the risk of tooth abrasion needs to be prompted to the toothbrush while the evaluation result is obtained.
8. The toothbrush cleaning effect test method according to claim 1, characterized in that: when coloring, the color difference Delta E between the original sample and the colored sampleBeginning of the designThe control is in the range of 40 +/-2.
9. The toothbrush cleaning effect test method according to claim 1, characterized in that: in carrying out the method, the roughness Ra of the original sample waferOriginal sourceThe thickness is controlled within 25 +/-5 mu m.
10. A computer scale storage medium, characterized in that: comprising program code for a toothbrush cleaning efficacy test, which program code, when being executed by a processing unit, carries out the steps of the toothbrush cleaning efficacy test method according to any one of claims 1 to 9.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06277118A (en) * 1993-03-26 1994-10-04 Lion Corp Toothbrush
JP2018128436A (en) * 2017-02-10 2018-08-16 株式会社パパラボ Surface roughness determination device and determination method
JP2019144059A (en) * 2018-02-20 2019-08-29 株式会社パパラボ Device and method for determining surface roughness by white light source
CN110596014A (en) * 2018-11-29 2019-12-20 广州薇美姿实业有限公司 Toothbrush cleaning capacity testing method
CN113409221A (en) * 2021-06-30 2021-09-17 深圳市斯博科技有限公司 Image color matting method, system, computer equipment and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06277118A (en) * 1993-03-26 1994-10-04 Lion Corp Toothbrush
JP2018128436A (en) * 2017-02-10 2018-08-16 株式会社パパラボ Surface roughness determination device and determination method
JP2019144059A (en) * 2018-02-20 2019-08-29 株式会社パパラボ Device and method for determining surface roughness by white light source
CN110596014A (en) * 2018-11-29 2019-12-20 广州薇美姿实业有限公司 Toothbrush cleaning capacity testing method
CN113409221A (en) * 2021-06-30 2021-09-17 深圳市斯博科技有限公司 Image color matting method, system, computer equipment and storage medium

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