Repair liquid matching method based on skin scar repair

Abstract

The invention discloses a repair liquid matching method based on skin scar repair. The method comprises the following steps: S1, acquiring a skin type, a scar type, a scar area and scar depth information of a user; s2, establishing a repair liquid database for each factor of the skin of the user; s3, performing weighted calculation to obtain the scar with the highest repair priority in all scars of the skin of the user; and S4, selecting the repair liquid with the highest conformity as matching output. Weighted calculation is carried out on the skin type, the scar type, the scar area and the scar depth information of the user, and the scar with the highest repair priority in all scars of the skin of the user is obtained; according to the method, the factor with the highest repair priority, the previous treatment data and the same type of treatment data are used as factors to compare the repair liquid database, the repair liquid with the highest conformity is selected as matching output, a personalized scar repair scheme can be provided according to specific conditions of different patients, and therefore the scar repair effect is improved.

Description

Technical Field

[0001] The present invention belongs to the field of scar repair, and more specifically, relates to a repair fluid matching method based on skin scar repair. Background Art

[0002] Skin scars are formed during the skin's self-repair process after being damaged. The causes of scar formation vary, including trauma, surgery, burns, and infection. Scars not only affect the appearance but may also have a negative impact on the patient's mental health. In actual application, the effectiveness of scar repair products often varies from individual to individual, and the treatment effect varies for different types of scars.

[0003] In existing technologies, the selection of scar repair products often relies on the physician's experience or the patient's subjective experience, lacking scientific and objective evaluation criteria. Furthermore, many products overemphasize their efficacy in marketing, while neglecting to address specific treatments for different scar types. Therefore, selecting the appropriate scar repair product based on the patient's specific condition has become a pressing issue. Therefore, we propose a method for matching repair fluids for skin scar repair. Summary of the Invention

[0004] The purpose of the present invention is to address the shortcomings of the prior art and propose a repair fluid matching method based on skin scar repair. By performing weighted calculation on the user's skin type, scar type, scar area and scar depth information, the scar with the highest repair priority among all scars on the user's skin is obtained; then, the repair fluid database is compared based on the factors with the highest repair priority, previous treatment data, and treatment data of the same type, and the repair fluid with the highest degree of compliance is selected as the matching output. This method can provide personalized scar repair plans based on the specific conditions of different patients, thereby improving the effect of scar repair.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A repair fluid matching method based on skin scar repair comprises the following steps:

[0007] S1. Obtaining the user's skin type, scar type, scar area, and scar depth information;

[0008] S2. Building a database of repair fluids tailored to each factor of the user's skin based on the user's skin type, scar type, scar area, and scar depth information;

[0009] S3. Determine the scar with the highest repair priority among all scars on the user's skin by performing a weighted calculation based on the user's skin type, scar type, scar area, and scar depth information;

[0010] S4. Compare the repair fluid database based on the factors with the highest repair priority, previous treatment data, and similar treatment data, and select the repair fluid with the highest degree of compliance as the matching output.

[0011] Preferably, step S1 is specifically as follows:

[0012] S11. The user fills out a questionnaire or takes an online skin test, providing basic information including age, gender, and skin condition;

[0013] S12, upload scar photos, perform image recognition and analysis;

[0014] S13. Identify scar types using image recognition technology;

[0015] S14. Measure scar area and scar depth information, and generate a report including skin type, scar type, scar area, and scar depth.

[0016] Preferably, step S2 is specifically as follows:

[0017] S21, classifying and storing the user's skin type, scar type, scar area, and scar depth information;

[0018] S22. For each skin type and scar type, find the relevant repair solution ingredients and formulas;

[0019] S23. Calculating the usage and concentration of each repair solution based on the scar area and scar depth information;

[0020] S24. Store the composition, formula, usage amount and concentration information of each repair fluid in a database.

[0021] Preferably, the weighted calculation formula in step S3 is:

[0022] P=ω S ×S+ω T ×T+ω A ×A+ω D ×D;

[0023] Where S is the score of the user's skin type, T is the score of the scar type, A is the score of the scar area, and D is the score of the scar thickness; ω S is the weighting coefficient of the user's skin type, ω T is the scar type weighting coefficient, ω A is the scar area weighting coefficient, ω D is the scar thickness weighting coefficient;

[0024] The scores of the user's skin type are specifically:

[0025] Normal skin, stratum corneum water content 10%-20%, pH value 4.5-6.5, score 0.2;

[0026] Dry skin, with a stratum corneum moisture content of less than 10%, a pH greater than 6.5, and a score of 0.7;

[0027] Oily skin, with a stratum corneum water content of less than 2%, a pH value of less than 4.5, and a score of 0.4;

[0028] The scores for the scar types are:

[0029] Superficial scars, whose color is closer to normal skin color, have a score of 0.3;

[0030] Hypertrophic scars are raised on the skin surface, are redder in color, and have a harder texture, with a score of 0.5;

[0031] Atrophic scars, which are sunken in the skin surface and ulcerated, have a score of 0.7;

[0032] Keloid, scar proliferation beyond the original injury area, showing tumor-like growth, score 0.7;

[0033] Preferably, the scar area fraction is specifically:

[0034] Area <1cm 2 , the score is 0.1;

[0035] 10cm 2 > Area ≥ 1cm 2 , the score is 0.5;

[0036] Area > 10cm 2 , score is 0.8;

[0037] The scar thickness is the distance between the highest point of the scar or the lowest point of the scar and the skin surface, and the scores are as follows:

[0038] Thickness < 2 mm, score 0.1;

[0039] 5mm>thickness≥2mm, score is 0.6;

[0040] For thickness > 5 mm, the score is 0.9.

[0041] Preferably, the user skin type weighting coefficient ω S The calculation formula is:

[0042]

[0043] In the formula, the influence coefficients of skin type on scars include: no influence, value is 0.5; slight influence, value is 0.8; severe influence, value is 1;

[0044] Scar type weighting coefficient ω T The calculation formula is:

[0045] ω T = degree of spread + degree of lesion;

[0046] In the formula, the degree of diffusion is 0-0.5, where if the area does not increase, the height of the proliferation does not increase, and the depth of the depression does not decrease within 2 years, it is considered as no diffusion and the value is 0;

[0047] If any one of the three items, area, height or depth, changes within 2 years, it is considered slight diffusion and the value is 0.2;

[0048] If the area, height or depth and one of the remaining two items change at the same time within 2 years, it is considered severe diffusion, and the value is 0.5.

[0049] Preferably, the scar area weighted coefficient is calculated as follows:

[0050]

[0051] In the formula, the scar area is obtained by measurement, the scar area is the plane area of ​​the scar that can be directly seen from the front view, and the exposure coefficient is 1-2, which is obtained by observation after normal clothing, specifically:

[0052] If the user is not exposed after normal clothing, the value is 1;

[0053] If the scar area exposed after normal dressing is less than 50%, the value is 1.5;

[0054] If all scars are exposed after dressing normally, the value is 2;

[0055] The scar thickness weighted coefficient is calculated as follows:

[0056] ω D =|2-scar thickness|×n;

[0057] Wherein, the unit of scar thickness is mm, n is a constant term, and its value is 1 or 2. When 2-scar thickness is greater than 0, the value is 1, and when 2-scar thickness is less than 0, the value is 2.

[0058] In the above formula, 2 is taken to be the dangerous thickness of 2mm in scar medicine. If the highest point of the scar or the lowest point of the scar is more than 2mm away from the skin surface, the risk of lesion is higher.

[0059] Preferably, step S4 is specifically as follows:

[0060] S41. Using the scar with the highest repair priority as a matching object, the effects of the repair fluids in the repair fluid database are compared to select the repair fluids that meet the requirements;

[0061] S42. For each repair solution that meets the conditions, calculate its degree of compliance with the scar with the highest repair priority of the user;

[0062] S43. Among all the repair fluids that meet the conditions, select the repair fluid with the highest degree of compliance as the matching output;

[0063] S44. The selected repair fluid is pushed to the user as an output result.

[0064] Preferably, in step S42, the compliance calculation formula is:

[0065]

[0066] Where, ω i represents the weight of the i-th feature, x i Represents the value score of the i-th feature; among them, the compliance needs to calculate the score of the user's skin type, scar type, and scar area separately. D is the scar thickness. When matching, it is necessary to compare the compliance of each factor with the efficacy of the repair fluid one by one, and the average value is the final compliance.

[0067] Technical effects and advantages of the present invention: The present invention provides a repair fluid matching method based on skin scar repair. Compared with the existing technology, the present invention has the following advantages:

[0068] By comprehensively considering the user's skin type, scar type, scar area, and scar depth, we achieve personalized matching of repair fluids, improving the targetedness and effectiveness of treatment. We use a weighted calculation method to quantitatively evaluate various factors, avoiding errors caused by subjective judgment and improving the accuracy and reliability of the evaluation.

[0069] Secondly, by comparing the effects of the repair fluids in the repair fluid database, qualified repair fluids can be quickly screened out, saving time and energy; based on the patient's treatment progress and feedback, the treatment plan can be adjusted in real time to improve the treatment effect.

[0070] In addition, the entire matching process can be completed automatically through computer programs without the participation of professionals, reducing operational difficulty and cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 This is a flow chart of the repair solution matching method based on skin scar repair according to the present invention;

[0072] Figure 2This is a flow chart for establishing a repair fluid database for each factor of a user's skin in an embodiment of the present invention. DETAILED DESCRIPTION

[0073] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0074] The present invention provides a repair fluid matching method based on skin scar repair. The method performs weighted calculation on the user's skin type, scar type, scar area, and scar depth information to obtain the scar with the highest repair priority among all scars on the user's skin; then, the repair fluid database is compared based on the factors with the highest repair priority, previous treatment data, and treatment data of the same type as the factors, and the repair fluid with the highest degree of compliance is selected as the matching output. This method can provide personalized scar repair solutions based on the specific conditions of different patients, thereby improving the effect of scar repair.

[0075] like Figure 1 As shown, the method is as follows:

[0076] A repair fluid matching method based on skin scar repair comprises the following steps:

[0077] S1. Obtain the user's skin type, scar type, scar area, and scar depth information; Step S1 specifically comprises:

[0078] S11. The user fills out a questionnaire or takes an online skin test, providing basic information including age, gender, and skin condition;

[0079] S12, upload scar photos, perform image recognition and analysis;

[0080] S13. Identify scar types using image recognition technology;

[0081] S14. Measure scar area and scar depth information, and generate a report including skin type, scar type, scar area, and scar depth.

[0082] S2. Based on the user's skin type, scar type, scar area and scar depth information, a repair solution database is established for each factor of the user's skin; Figure 2 As shown, step S2 is specifically as follows:

[0083] S21, classifying and storing the user's skin type, scar type, scar area, and scar depth information;

[0084] S22. For each skin type and scar type, find the relevant repair solution ingredients and formulas;

[0085] S23. Calculating the usage and concentration of each repair solution based on the scar area and scar depth information;

[0086] S24. Store the composition, formula, usage amount and concentration information of each repair fluid in a database.

[0087] S3. Determine the scar with the highest repair priority among all scars on the user's skin by performing a weighted calculation based on the user's skin type, scar type, scar area, and scar depth information;

[0088] It should be noted that the weighted calculation formula in step S3 is:

[0089] P=ω S ×S+ω T ×T+ω A ×A+ω D ×D;

[0090] Where S is the score of the user's skin type, T is the score of the scar type, A is the score of the scar area, and D is the score of the scar thickness; ω S is the weighting coefficient of the user's skin type, ω T is the scar type weighting coefficient, ω A is the scar area weighting coefficient, ω D is the scar thickness weighting coefficient;

[0091] The scores of the user's skin type are specifically:

[0092] Normal skin, stratum corneum water content 10%-20%, pH value 4.5-6.5, score 0.2;

[0093] Dry skin, with a stratum corneum moisture content of less than 10%, a pH greater than 6.5, and a score of 0.7;

[0094] Oily skin, with a stratum corneum water content of less than 2%, a pH value of less than 4.5, and a score of 0.4;

[0095] The scores for the scar types are:

[0096] Superficial scars, whose color is closer to normal skin color, have a score of 0.3;

[0097] Hypertrophic scars are raised on the skin surface, are redder in color, and have a harder texture, with a score of 0.5;

[0098] Atrophic scars, which are sunken in the skin surface and ulcerated, have a score of 0.7;

[0099] Keloid, scar proliferation beyond the original injury area, showing tumor-like growth, score 0.7;

[0100] The scar area fraction is specifically:

[0101] Area <1cm 2 , the score is 0.1;

[0102] 10cm 2 > Area ≥ 1cm 2 , the score is 0.5;

[0103] Area > 10cm 2 , score is 0.8;

[0104] The scar thickness is the distance between the highest point of the scar or the lowest point of the scar and the skin surface, and the scores are as follows:

[0105] Thickness < 2 mm, score 0.1;

[0106] 5mm>thickness≥2mm, score is 0.6;

[0107] Thickness > 5 mm, score 0.9;

[0108] Specifically, the user skin type weighting coefficient ω S The calculation formula is:

[0109]

[0110] In the formula, the influence coefficients of skin type on scars include: no influence, value is 0.5; slight influence, value is 0.8; severe influence, value is 1;

[0111] Scar type weighting coefficient ω T The calculation formula is:

[0112] ω T = degree of spread + degree of lesion;

[0113] In the formula, the degree of diffusion is 0-0.5, where if the area does not increase, the height of the proliferation does not increase, and the depth of the depression does not decrease within 2 years, it is considered as no diffusion and the value is 0;

[0114] If any one of the three items, area, height or depth, changes within 2 years, it is considered slight diffusion and the value is 0.2;

[0115] If the area, height or depth and one of the remaining two items change simultaneously within 2 years, it is considered severe diffusion, and the value is 0.5;

[0116] The scar area weighted coefficient is calculated as follows:

[0117]

[0118] In the formula, the scar area is obtained by measurement, the scar area is the plane area of ​​the scar that can be directly seen from the front view, and the exposure coefficient is 1-2, which is obtained by observation after normal clothing, specifically:

[0119] If the user is not exposed after normal clothing, the value is 1;

[0120] If the scar area exposed after normal dressing is less than 50%, the value is 1.5;

[0121] If all scars are exposed after dressing normally, the value is 2;

[0122] The scar thickness weighted coefficient is calculated as follows:

[0123] ω D =|2-scar thickness|×n;

[0124] Wherein, the unit of scar thickness is mm, n is a constant term, and its value is 1 or 2. When 2-scar thickness is greater than 0, the value is 1, and when 2-scar thickness is less than 0, the value is 2.

[0125] In the above formula, 2 is taken to be the dangerous thickness of 2mm in scar medicine. If the highest point of the scar or the lowest point of the scar is more than 2mm away from the skin surface, the risk of lesion is higher.

[0126] For example, the user has 4 scars, and the specific information is as follows:

[0127] No. 1:

[0128] Skin type at the scar: neutral (score 0.2), weighting factor 0.8 (slight impact);

[0129] Scar type: superficial scar (score 0.3);

[0130] Scar area: 5cm 2 (score 0.5);

[0131] Scar thickness: 1 mm (score 0.1);

[0132] No. 2:

[0133] Skin type at the scar: dry (score 0.7), weighted coefficient 1 (severe impact);

[0134] Scar type: hypertrophic scar (score 0.5);

[0135] Scar area: 15cm 2 (score 0.8);

[0136] Scar thickness: 3 mm (score 0.6);

[0137] No. 3:

[0138] Skin type at the scar: oily (score 0.4), weighted coefficient 0.5 (no effect);

[0139] Scar type: atrophic scar (score 0.7);

[0140] Scar area: 8cm 2 (score 0.5);

[0141] Scar thickness: 4 mm (score 0.9);

[0142] No. 4:

[0143] Skin type at the scar: dry (score 0.7), weighted coefficient 1 (severe impact);

[0144] Scar type: keloid (score 0.7);

[0145] Scar area: 12cm 2 (score 0.8);

[0146] Scar thickness: 2 mm (score 0.6);

[0147] Based on the above information, a weighted calculation formula was used to evaluate the total score of each scar group:

[0148] At the first point: S1 = (0.2 × 0.8) + (0.3 × 1) + (0.5 × 1) + (0.1 × 1) = 1.06;

[0149] At the second point: S2 = (0.7 × 1) + (0.5 × 1) + (0.8 × 1) + (0.6 × 1) = 2.6;

[0150] At the third point: S3 = (0.4 × 0.5) + (0.7 × 1) + (0.5 × 1) + (0.9 × 1) = 2.3;

[0151] At the 4th position: S4 = (0.7 × 1) + (0.7 × 1) + (0.8 × 1) + (0.6 × 1) = 2.8;

[0152] In summary, scar No. 4 has the highest priority, indicating that after considering the combined effects of the user's skin type, scar type, scar area, and scar thickness, scar No. 4 needs to be treated first because it has the highest overall risk score. The above calculation method can help medical professionals or researchers effectively evaluate and prioritize the most serious cases when faced with multiple scar conditions.

[0153] S4, comparing the repair solution database based on the highest repair priority factor, previous treatment data, and similar treatment data, and selecting the repair solution with the highest degree of compliance as the matching output; Step S4 is specifically as follows:

[0154] S41. Using the scar with the highest repair priority as a matching object, the effects of the repair fluids in the repair fluid database are compared to select the repair fluids that meet the requirements;

[0155] S42. For each repair solution that meets the conditions, calculate its compliance with the scar with the highest repair priority of the user; in step S42, the compliance calculation formula is:

[0156]

[0157] Where, ω i represents the weight of the i-th feature, x i represents the value score of the i-th feature; among them, the compliance needs to calculate the score of the user's skin type, scar type, and scar area separately. D is the scar thickness. When matching, it is necessary to compare the compliance of each factor with the efficacy of the repair fluid one by one, and the average value is the final compliance;

[0158] S43. Among all the repair fluids that meet the conditions, select the repair fluid with the highest degree of compliance as the matching output;

[0159] S44. The selected repair fluid is pushed to the user as an output result.

[0160] The present invention has the following advantages:

[0161] By comprehensively considering the user's skin type, scar type, scar area, and scar depth, we achieve personalized matching of repair fluids, improving the targetedness and effectiveness of treatment. We use a weighted calculation method to quantitatively evaluate various factors, avoiding errors caused by subjective judgment and improving the accuracy and reliability of the evaluation.

[0162] Secondly, by comparing the effects of the repair fluids in the repair fluid database, qualified repair fluids can be quickly screened out, saving time and energy; based on the patient's treatment progress and feedback, the treatment plan can be adjusted in real time to improve the treatment effect.

[0163] In addition, the entire matching process can be completed automatically through computer programs without the participation of professionals, reducing operational difficulty and cost.

[0164] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A repair fluid matching method based on skin scar repair, characterized in that: The steps include: S1. Obtaining the user's skin type, scar type, scar area, and scar depth information; S2. Building a database of repair fluids tailored to each factor of the user's skin based on the user's skin type, scar type, scar area, and scar depth information; S3. Determine the scar with the highest repair priority among all scars on the user's skin by performing a weighted calculation based on the user's skin type, scar type, scar area, and scar depth information; S4. Compare the repair fluid database based on the factors with the highest repair priority, previous treatment data, and similar treatment data, and select the repair fluid with the highest degree of compliance as the matching output.

2. A repair fluid matching method based on skin scar repair according to claim 1, characterized in that, Step S1 is specifically as follows: S11. The user fills out a questionnaire or takes an online skin test, providing basic information including age, gender, and skin condition; S12, upload scar photos, perform image recognition and analysis; S13. Identify scar types using image recognition technology; S14. Measure scar area and scar depth information, and generate a report including skin type, scar type, scar area, and scar depth.

3. A repair fluid matching method based on skin scar repair according to claim 1, characterized in that: Step S2 is specifically as follows: S21, classifying and storing the user's skin type, scar type, scar area, and scar depth information; S22. For each skin type and scar type, find the relevant repair solution ingredients and formulas; S23. Calculating the usage and concentration of each repair solution based on the scar area and scar depth information; S24. Store the composition, formula, usage amount and concentration information of each repair fluid in a database.

4. A repair fluid matching method based on skin scar repair according to claim 1, characterized in that: The weighted calculation formula in step S3 is: P=ω S ×S+ω T ×T+ω A ×A+ω D ×D; Where S is the score of the user's skin type, T is the score of the scar type, A is the score of the scar area, and D is the score of the scar thickness; ω S is the weighting coefficient of the user's skin type, ω T is the scar type weighting coefficient, ω A is the scar area weighting coefficient, ω D is the scar thickness weighting coefficient; The scores of the user's skin type are specifically: Normal skin, stratum corneum water content 10%-20%, pH value 4.5-6.5, score 0.2; Dry skin, with a stratum corneum moisture content of less than 10%, a pH greater than 6.5, and a score of 0.7; Oily skin, with a stratum corneum water content of less than 2%, a pH value of less than 4.5, and a score of 0.4; The scores for the scar types are: Superficial scars, whose color is closer to normal skin color, have a score of 0.3; Hypertrophic scars are raised on the skin surface, are redder in color, and have a harder texture, with a score of 0.5; Atrophic scars are sunken in the skin surface and ulcerated, with a score of 0.7; Keloids, scars that proliferate beyond the original injury area and grow like tumors, have a score of 0.

7.

5. A repair fluid matching method based on skin scar repair according to claim 4, characterized in that: The scar area fraction is specifically: Area <1cm 2 , the score is 0.1; 10cm 2 > Area ≥ 1cm 2 , the score is 0.5; Area > 10cm 2 , score is 0.8; The scar thickness is the distance between the highest point of the scar or the lowest point of the scar and the skin surface, and the scores are as follows: Thickness < 2 mm, score 0.1; 5mm>thickness≥2mm, score is 0.6; For thickness > 5 mm, the score is 0.

9.

6. A repair fluid matching method based on skin scar repair according to claim 4, characterized in that: The user skin type weighting coefficient ω S The calculation formula is: In the formula, the influence coefficients of skin type on scars include: no influence, value is 0.5; slight influence, value is 0.8; severe influence, value is 1; Scar type weighting coefficient ω T The calculation formula is: ω T = degree of spread + degree of lesion; In the formula, the degree of diffusion is 0-0.5, where if the area does not increase, the height of the proliferation does not increase, and the depth of the depression does not decrease within 2 years, it is considered as no diffusion and the value is 0; If any one of the three items, area, height or depth, changes within 2 years, it is considered slight diffusion and the value is 0.2; If the area, height or depth and one of the remaining two items change at the same time within 2 years, it is considered severe diffusion, and the value is 0.

5.

7. A repair fluid matching method based on skin scar repair according to claim 6, characterized in that: The scar area weighted coefficient is calculated as follows: In the formula, the scar area is obtained by measurement, the scar area is the plane area of ​​the scar that can be directly seen from the front view, and the exposure coefficient is 1-2, which is obtained by observation after normal clothing, specifically: If the user is not exposed after normal clothing, the value is 1; If the scar area exposed after normal dressing is less than 50%, the value is 1.5; If all scars are exposed after dressing normally, the value is 2; The scar thickness weighted coefficient is calculated as follows: ω D =|2-scar thickness|×n; Wherein, the unit of scar thickness is mm, n is a constant term, and its value is 1 or 2. When 2-scar thickness is greater than 0, the value is 1, and when 2-scar thickness is less than 0, the value is 2. In the above formula, 2 is taken to be the dangerous thickness of 2mm in scar medicine. If the highest point of the scar or the lowest point of the scar is more than 2mm away from the skin surface, the risk of lesion is higher.

8. The repair fluid matching method based on skin scar repair according to claim 1, characterized in that: Step S4 is specifically as follows: S41. Using the scar with the highest repair priority as a matching object, the effects of the repair fluids in the repair fluid database are compared to select the repair fluids that meet the requirements; S42. For each repair solution that meets the conditions, calculate its degree of compliance with the scar with the highest repair priority of the user; S43. Among all the repair fluids that meet the conditions, select the repair fluid with the highest degree of compliance as the matching output; S44. The selected repair fluid is pushed to the user as an output result.

9. A repair fluid matching method based on skin scar repair according to claim 8, characterized in that: In step S42, the compliance calculation formula is: Where, ω i represents the weight of the i-th feature, x i Represents the value score of the i-th feature; among them, the compliance needs to calculate the score of the user's skin type, scar type, and scar area separately. D is the scar thickness. When matching, it is necessary to compare the compliance of each factor with the efficacy of the repair fluid one by one, and the average value is the final compliance.

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