CN-121971038-A - Skin high-low temperature simulation test method and system

CN121971038ACN 121971038 ACN121971038 ACN 121971038ACN-121971038-A

Abstract

The invention discloses a skin high-low temperature simulation test method and a skin high-low temperature simulation test system, which relate to the technical field of skin test and have the technical scheme that the method comprises the following steps of marking a target test skin area with smooth plane characteristics as a smooth surface test area, marking a target test skin area with texture concave-convex characteristics as a texture surface test area, processing historical test data corresponding to the smooth surface test area to obtain a first characteristic influence coefficient, processing historical test data corresponding to the texture surface test area to obtain a second characteristic influence coefficient, processing initial skin physiological parameter detection data according to the first characteristic influence coefficient and then outputting first test feedback information, and obtaining an error value I to be compensated for physiological parameters according to the second characteristic influence coefficient and an average temperature difference change value of the texture surface test area.

Inventors

CHEN XIAOHAN
SHI LEI
SUN YI
LI JINYUAN
An Zhixia
JIANG XINGYUAN
XIE YUXIN
Zeng Huanghuan
Zheng Yune

Assignees

杭州赛维质量技术服务有限公司

Dates

Publication Date: 20260505
Application Date: 20251230

Claims (10)

1. A skin high-low temperature simulation test method, which is characterized by comprising the following steps: marking a target test skin area with smooth plane characteristics as a smooth surface test area, and marking a target test skin area with texture concave-convex characteristics as a texture surface test area; Processing the historical test data corresponding to the smooth surface test area to obtain a first characteristic influence coefficient, and processing the historical test data corresponding to the texture surface test area to obtain a second characteristic influence coefficient; Processing the initial skin physiological parameter detection data according to the first characteristic influence coefficient and then outputting first test feedback information; According to the second characteristic influence coefficient and the average temperature difference change value of the texture surface test area, an error value I needs to be compensated, and according to the second characteristic influence coefficient and the temperature difference change value of the adjacent texture convex vertex and concave low point of the texture surface test area, an error value II needs to be compensated; and processing the initial skin physiological parameter detection data according to the first physiological parameter to be compensated error value and the second physiological parameter to be compensated error value, and outputting second test feedback information.
2. The method for skin high and low temperature simulation test according to claim 1, further comprising: and detecting the physiological parameters of the target test skin area in real time to obtain initial skin physiological parameter detection data.
3. The skin high and low temperature simulation test method according to claim 1, further comprising the steps of: detecting the temperature of a smooth surface test area in real time to obtain a smooth surface detection temperature, and calculating the temperature difference between adjacent periods of the smooth surface detection temperature to obtain a temperature difference change value of the smooth surface to be detected; and acquiring historical test data of the target test skin, and judging whether the smooth surface test area is positioned in the easy-to-sweat area of the target test skin.
4. The skin high-low temperature simulation test method according to claim 3, wherein the processing of the historical test data corresponding to the smooth surface test area to obtain the first characteristic influence coefficient specifically comprises the following steps: Judging whether the smooth surface test area is in a sweat-prone area of target test skin or not, and according to the judgment; If the smooth surface test area is not in the easy-to-sweat area of the target test skin, extracting first historical data of the smooth surface test area from the historical test data, extracting a historical smooth surface temperature difference change value from the first historical data according to the to-be-tested smooth surface temperature difference change value, and judging a historical physiological parameter error value I of the skin physiological parameter influence detection data by the historical smooth surface temperature difference change value, and carrying out correlation change influence trend feature judgment on the historical physiological parameter error value I and the historical smooth surface temperature difference change value to obtain a first temperature change influence coefficient; If the smooth surface testing area is in an easy-to-sweat area of target testing skin, detecting the coverage area of the environment humidity of the smooth surface testing area to obtain the humidity coverage of the smooth surface to be tested, wherein the humidity coverage of the smooth surface to be tested refers to the humidity distribution ratio of the skin surface in the smooth surface testing area to be covered; The first temperature change influence coefficient and the first temperature humidity influence coefficient are combined into a first characteristic influence coefficient.
5. The method for simulating skin high and low temperature according to claim 4, wherein the first test feedback information is output after processing the initial skin physiological parameter detection data according to the first characteristic influence coefficient, and specifically comprises the following steps: Obtaining a first physiological parameter to be compensated error value generated by the action of high and low temperature and environmental humidity of skin in a smooth surface test area according to the temperature difference change value of the smooth surface to be tested, the humidity coverage of the smooth surface to be tested and the first characteristic influence coefficient; performing error compensation on the initial skin physiological parameter detection data according to the error value to be compensated of the first physiological parameter to obtain first actual physiological parameter estimated detection data; and outputting first test feedback information when the first actual physiological parameter estimated detection data exceeds the physiological parameter normal threshold range.
6. The method for skin high and low temperature simulation test according to claim 5, further comprising the steps of: respectively detecting the temperature of the raised vertex position of the texture in the texture surface test area and the temperature of the recessed low point position of the texture to obtain raised texture temperature data and recessed texture temperature data; The average temperature of the texture protrusion is obtained by averaging all the texture protrusion temperature data, the average temperature of the texture protrusion is obtained by performing difference-solving processing on the texture protrusion temperature data and the adjacent texture recess temperature data, a texture surface temperature difference change data set is obtained, and the average temperature difference value of the texture surface to be detected is obtained by performing average-solving processing on the texture surface temperature difference change data set.
7. The method for simulating skin high and low temperature according to claim 6, wherein the step of processing the historical test data corresponding to the texture surface test area to obtain the second characteristic influence coefficient comprises the steps of: Judging whether the texture surface test area is in a sweat-prone area of the target test skin; If the texture surface test area is not in the sweat-prone area of the target test skin, extracting second historical data of the texture surface test area from the historical test data, extracting a historical texture surface temperature difference change value and a historical physiological parameter error value III of the skin physiological parameter detection data according to the average texture surface temperature difference value to be detected from the second historical data; If the texture surface testing area is in an easy-to-sweat area of target test skin, detecting the coverage area of the texture surface testing area, which is to say that the ambient humidity belongs to, to obtain texture surface humidity coverage to be tested, extracting historical humidity coverage second from second historical data, combining the historical humidity coverage second with a historical texture surface temperature difference change value to obtain texture surface characteristic data, extracting historical physiological parameter error value III which is generated by the common influence of the historical texture surface temperature difference change value and the historical humidity coverage second from the second historical data, carrying out correlation change influence trend characteristic judgment on the historical physiological parameter error value III and the texture surface characteristic data to obtain a second temperature and humidity influence coefficient, and combining the second temperature and humidity influence coefficient and the second temperature and humidity influence coefficient to form a second characteristic influence coefficient.
8. The method for simulating skin high and low temperature according to claim 7, wherein the physiological parameter compensation error value two is required according to the second characteristic influence coefficient and the temperature difference change value between the convex top point and the concave low point of the adjacent texture to which the texture surface test area belongs, and specifically comprises the following steps: Performing coverage segmentation on the humidity coverage of the texture surface to be detected to obtain a sub-coverage data set to be detected; Obtaining a sub-error data set to be compensated for physiological parameters generated by the action of high and low temperature and environmental humidity of skin in a texture surface test area according to the sub-coverage data set to be tested, the texture surface temperature difference change data set and the second characteristic influence coefficient; and summing all the sub-error data in the sub-error data set to be compensated for the physiological parameter to obtain a second error value to be compensated for the physiological parameter.
9. The method for simulating skin high and low temperature according to claim 1, wherein the first and second physiological parameter to be compensated for the physiological parameter are processed according to the first and second physiological parameter to be compensated for the physiological parameter to output the second test feedback information, and the method specifically comprises the following steps: averaging the first physiological parameter error value to be compensated and the second physiological parameter error value to be compensated to obtain a second physiological parameter error value to be compensated; Performing error compensation on the initial skin physiological parameter detection data according to the error value to be compensated of the second physiological parameter to obtain second actual physiological parameter detection data; And outputting second test feedback information when the second actual physiological parameter detection data exceeds the physiological parameter normal threshold range.
10. A skin high-low temperature simulation test system applied to the skin high-low temperature simulation test method of any one of claims 1 to 9, comprising: The marking module is used for marking a target test skin area with smooth plane characteristics as a smooth surface test area and marking a target test skin area with texture concave-convex characteristics as a texture surface test area; The first processing module is used for processing the historical test data corresponding to the smooth surface test area to obtain a first characteristic influence coefficient, and processing the historical test data corresponding to the texture surface test area to obtain a second characteristic influence coefficient; the second processing module is used for processing the initial skin physiological parameter detection data according to the first characteristic influence coefficient and outputting first test feedback information; The third processing module is used for compensating an error value I according to the second characteristic influence coefficient and the average temperature difference change value of the texture surface test area, and compensating an error value II according to the second characteristic influence coefficient and the temperature difference change value of the adjacent convex top point and the concave low point of the texture surface test area; And the output module is used for processing the initial skin physiological parameter detection data according to the physiological parameter to-be-compensated error value I and the physiological parameter to-be-compensated error value II and outputting second test feedback information.

Description

Skin high-low temperature simulation test method and system Technical Field The invention relates to the technical field of skin test, in particular to a skin high-low temperature simulation test method and a skin high-low temperature simulation test system. Background The traditional skin high-low temperature test method usually carries out unified detection on a target skin area as a whole, does not distinguish the surface morphological characteristics of the skin, for example, ignores the structural difference of smooth planes and concave-convex textures of human skin, and the two areas have quite different temperature distribution and influence degrees of environmental factors under high-low temperature environments. For example, in a hot exposure environment, a significant temperature difference is formed between raised peaks and recessed low points of the texture surface, and if the temperature data is detected according to the whole area, an averaging error of the temperature data is caused, so that the real state of the skin micro-area cannot be reflected. While conventional testing also lacks error calibration mechanisms for different skin areas. The initial physiological parameter detection data is generally directly used for result judgment, but the skin physiological parameters are interfered by temperature and humidity environmental factors, and the interference laws of different areas are different, if a targeted error influence model is not built by combining historical data, the reliability of the test result is greatly reduced by the systematic error of the initial detection data, namely the actual effect of the skin care product under the extreme environment is difficult to accurately evaluate. Disclosure of Invention Aiming at the defects existing in the prior art, the invention aims to provide a skin high-low temperature simulation test method and system. In order to achieve the above purpose, the present invention provides the following technical solutions: A skin high-low temperature simulation test method, comprising the following steps: marking a target test skin area with smooth plane characteristics as a smooth surface test area, and marking a target test skin area with texture concave-convex characteristics as a texture surface test area; Processing the historical test data corresponding to the smooth surface test area to obtain a first characteristic influence coefficient, and processing the historical test data corresponding to the texture surface test area to obtain a second characteristic influence coefficient; Processing the initial skin physiological parameter detection data according to the first characteristic influence coefficient and then outputting first test feedback information; According to the second characteristic influence coefficient and the average temperature difference change value of the texture surface test area, an error value I needs to be compensated, and according to the second characteristic influence coefficient and the temperature difference change value of the adjacent texture convex vertex and concave low point of the texture surface test area, an error value II needs to be compensated; and processing the initial skin physiological parameter detection data according to the first physiological parameter to be compensated error value and the second physiological parameter to be compensated error value, and outputting second test feedback information. Preferably, the method further comprises: and detecting the physiological parameters of the target test skin area in real time to obtain initial skin physiological parameter detection data. Preferably, the method further comprises the following steps: detecting the temperature of a smooth surface test area in real time to obtain a smooth surface detection temperature, and calculating the temperature difference between adjacent periods of the smooth surface detection temperature to obtain a temperature difference change value of the smooth surface to be detected; and acquiring historical test data of the target test skin, and judging whether the smooth surface test area is positioned in the easy-to-sweat area of the target test skin. Preferably, the processing of the historical test data corresponding to the smooth surface test area to obtain the first characteristic influence coefficient specifically includes the following steps: Judging whether the smooth surface test area is in a sweat-prone area of target test skin or not, and according to the judgment; If the smooth surface test area is not in the easy-to-sweat area of the target test skin, extracting first historical data of the smooth surface test area from the historical test data, extracting a historical smooth surface temperature difference change value from the first historical data according to the to-be-tested smooth surface temperature difference change value, and judging a historical physiological parameter error value I of the skin physiolo