CN116296503B - Detection system, method, device and medium of transdermal test equipment - Google Patents

Detection system, method, device and medium of transdermal test equipment Download PDF

Info

Publication number
CN116296503B
CN116296503B CN202310200918.XA CN202310200918A CN116296503B CN 116296503 B CN116296503 B CN 116296503B CN 202310200918 A CN202310200918 A CN 202310200918A CN 116296503 B CN116296503 B CN 116296503B
Authority
CN
China
Prior art keywords
skin
module
air pressure
processor
test
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202310200918.XA
Other languages
Chinese (zh)
Other versions
CN116296503A (en
Inventor
苏小军
李新寅
王霄彤
李红霞
张雨恒
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Inspection Huatongwei International Inspection Suzhou Co ltd
Original Assignee
China Inspection Huatongwei International Inspection Suzhou Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Inspection Huatongwei International Inspection Suzhou Co ltd filed Critical China Inspection Huatongwei International Inspection Suzhou Co ltd
Priority to CN202310200918.XA priority Critical patent/CN116296503B/en
Publication of CN116296503A publication Critical patent/CN116296503A/en
Application granted granted Critical
Publication of CN116296503B publication Critical patent/CN116296503B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G01M99/008—Subject matter not provided for in other groups of this subclass by doing functionality tests
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N13/00—Investigating surface or boundary effects, e.g. wetting power; Investigating diffusion effects; Analysing materials by determining surface, boundary, or diffusion effects
    • G01N13/04—Investigating osmotic effects

Abstract

The embodiments of the present specification provide a detection system and method of a transdermal test device, the method being performed by a processor of a detection system of a transdermal test device, the detection system of a transdermal test device comprising: the device comprises an interaction module, a monitoring module, a liquid supplementing module, an air pressure adjusting module, a detection table and a processor; the processor is respectively in communication connection with the interaction module, the monitoring module, the liquid supplementing module, the air pressure adjusting module and the detection platform; and the control module is used for sending out at least one group of control instructions according to the data input by the interaction module, the parameters output by the monitoring module and/or the parameters output by the detection platform so as to control the fluid infusion module to execute fluid infusion operation and control the air pressure adjusting module to adjust the air pressure of the supply bin in the transdermal test equipment.

Description

Detection system, method, device and medium of transdermal test equipment
Technical Field
The present disclosure relates to the field of transdermal diffusion testing, and in particular, to a system, a method, a device, and a medium for detecting a transdermal test device.
Background
The transdermal test device refers to a device capable of performing a transdermal test. The detection of the transdermal test equipment requires analysis of test result errors of the transdermal test equipment and further judgment of the performance of the transdermal test equipment in the use process. The traditional transdermal test equipment detection method is characterized in that a detector acquires a test result through the transdermal test equipment, whether the transdermal test equipment is qualified or not is judged according to experience by analyzing the test result, the detection mode increases the manual burden, the accuracy of the detection result is limited by the technical level of the detector, and misjudgment is easy to occur.
Therefore, it is desirable to provide a system and a method for detecting a transdermal test device, which can accurately judge whether the transdermal test device to be detected is qualified, accurately control test environments such as test temperature, and the like, so as to reduce test result errors, improve detection accuracy, and simultaneously shorten test period so as to improve efficiency of a transdermal test, and further improve detection efficiency of the transdermal test device.
Disclosure of Invention
One or more embodiments of the present specification provide a detection system of a transdermal test device, the detection system of the transdermal test device comprising: the device comprises an interaction module, a monitoring module, a liquid supplementing module, an air pressure adjusting module, a detection table and a processor; the interaction module comprises an LCD touch screen; the monitoring module comprises a camera and an infrared camera; the fluid infusion module comprises a driving motor, an electromagnetic valve and a fluid infusion pipe; the detection table is used for fixing the transdermal test equipment and comprises an extraction device and an auxiliary heating device; the processor is respectively in communication connection with the interaction module, the monitoring module, the liquid supplementing module, the air pressure adjusting module and the detection platform; and the air pressure adjusting module is used for sending at least one group of control instructions according to the data input by the interaction module, the parameters output by the monitoring module and/or the parameters output by the detection platform so as to control the liquid supplementing module to execute liquid supplementing operation and control the air pressure adjusting module to adjust the air pressure of the supply bin in the transdermal test equipment.
One of the embodiments of the present specification provides a method of testing a transdermal test device, the method being performed by a processor of a test system of the transdermal test device, the system further comprising: the device comprises an interaction module, a monitoring module, a liquid supplementing module, an air pressure adjusting module, a detection table and a processor, wherein the method comprises the following steps: acquiring monitoring parameters based on the monitoring module and/or acquiring interaction data based on the interaction module; issuing at least one set of control instructions based on the interaction data and/or the monitoring parameters; the at least one set of control instructions is used for controlling the fluid infusion module to perform fluid infusion operation and controlling the air pressure adjusting module to adjust the air pressure of the supply bin in the transdermal test device.
One or more embodiments of the present specification provide a detection apparatus of a transdermal test device, including a processor for performing a detection method of the transdermal test device.
One or more embodiments of the present specification provide a computer-readable storage medium storing computer instructions that, when read by a computer in the storage medium, perform a method of testing a transdermal test device.
Drawings
The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:
FIG. 1 is a schematic illustration of a detection system of a transdermal test device according to some embodiments of the present disclosure;
FIG. 2 is an exemplary flow chart of a method of detection of a transdermal test device according to some embodiments of the present description;
FIG. 3 is an exemplary flow chart for acquiring monitoring parameters and issuing at least one set of control instructions according to some embodiments of the present description;
FIG. 4 is an exemplary schematic diagram of a difference model shown in accordance with some embodiments of the present description;
FIG. 5 is an exemplary flow chart of controlling the application of different air pressures into a supply cartridge according to some embodiments of the present disclosure.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
It will be appreciated that "system," "apparatus," "unit" and/or "module" as used herein is one method for distinguishing between different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.
The terms "a," "an," "the," and/or "the" are not specific to the singular, but may include the plural, unless the context clearly indicates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.
In order to improve the detection accuracy of the transdermal test equipment, the detection of the transdermal test equipment is improved, for example, manual sampling in the test process is changed into automatic sampling, manual fluid infusion is changed into automatic fluid infusion, and the like, so that the data error caused by manual operation is reduced, but the quality monitoring of the skin sample used in the detection of the transdermal test equipment is not yet involved. In order to make the transdermal test process more accurate and further improve the detection accuracy of transdermal test equipment, some embodiments of the present disclosure wish to provide a detection system and a detection method of transdermal test equipment, which can rapidly, efficiently, simply and conveniently detect whether the transdermal test equipment is qualified, and accurately control test environments such as test temperature and the quality of skin samples used when the transdermal test equipment is monitored for detection, so as to reduce test result errors and further improve the detection accuracy of the transdermal test equipment, and simultaneously shorten test period to improve the efficiency of the transdermal test, and further realize improvement of the detection efficiency of the transdermal test equipment.
FIG. 1 is a schematic diagram of a detection system of a transdermal test device according to some embodiments of the present description.
In some embodiments, the test system 100 of the transdermal test device may include a test station 110, a transdermal test device 120, a monitoring module 130, a fluid replacement module 140, an interaction module 150, a processor 160, and an air pressure regulation module 170.
The test stand 110 refers to a working area for securing the transdermal test device. The inspection station 110 may include an auxiliary heating device 111 and an extraction device 112.
The auxiliary heating device 111 can assist the transdermal test equipment to heat the solution by the self-contained heating device so as to improve the constant temperature efficiency and quality and ensure the accuracy and reliability of the detection result.
The drawing device 112 is a device that can draw out liquid. In some embodiments, the extraction device may perform an automatic sampling. For example, the extraction device may extract the receiving liquid from the receiving chamber. The receiving liquid is the liquid in the receiving bin and can comprise phosphate buffer solution and the like.
In some embodiments, the transdermal test device 120 may include a supply compartment 121, a skin fixation device 122, a receiving compartment 123.
The supply bin 121 is a bin into which test samples are injected. The test sample is a sample for performing a transdermal test. For example, the test sample may include a cream, gel, semi-solid drug, cosmetic, or the like.
The skin fixation device 122 is used to fix the skin to be tested. The skin to be tested refers to skin used for transdermal test, for example, animal skin, human skin, artificial skin, etc. In some embodiments, the skin to be tested is disposed between the supply compartment and the receiving compartment, the skin to be tested is in direct contact with the supply compartment and the receiving compartment, respectively, the outer skin to be tested faces the supply compartment, the inner skin to be tested faces the receiving compartment, and the test sample of the supply compartment is permeated into the receiving liquid of the receiving compartment through the skin to be tested.
The receiving chamber 123 is a chamber into which a receiving liquid is injected. The content of the receiving liquid is described in the relevant description above. In some embodiments, the supply cartridge, the skin fixation device, and the receiving cartridge are connected in sequence.
In some embodiments, the bottom of the receiving bin 123 includes electromagnetic stirring blades 123-1. The electromagnetic stirring blade 123-1 is used for stirring the receiving liquid in the receiving bin uniformly.
The monitoring module 130 refers to a device for acquiring monitoring parameters. See fig. 2 and its associated description for more details regarding monitoring parameters. In some embodiments, the monitoring module 130 may include a camera 131 and an infrared camera 132.
The camera 131 may include a digital camera, a CCD camera (i.e., a charge coupled device camera), or the like.
In some embodiments, the camera is configured to obtain optical image data of the skin to be tested according to instructions of the processor. See fig. 3 and its associated description for more of the foregoing.
Wherein, the optical image data refers to the relevant data of the optical imaging of the skin to be tested. For example, the optical image data may comprise an optical image of the skin surface to be tested, etc.
The infrared camera 132 is a camera for acquiring thermal imaging data. In some embodiments, the infrared camera may not need to be on all the time, but rather may acquire thermal imaging data periodically, or at some critical point. For example, the thermal imaging data may be acquired after sampling, after fluid replacement, at the start of the test, at the time of changing the skin to be tested, or after changing the operating power of the heating unit, or at intervals (e.g., every 10 minutes). Sampling means that the sampling device extracts the receiving liquid in the receiving bin, and the sampling device can sample according to the sampling time, and more content of the sampling time is shown in fig. 5 and related description.
In some embodiments, the infrared camera 132 is used to acquire thermal imaging data, and the processor controls the operating power of at least one heating unit according to the equipment and the temperature distribution of the receiving liquid. See fig. 2 and its associated description for more of the foregoing.
The thermal imaging data refers to the related data of thermal images, and different colors on the thermal images represent different temperatures of the measured object. For example, the thermal imaging data may include thermal imaging of the receiving fluid, thermal imaging of the detection system of the transdermal test device, and the like.
The thermal imaging data can be acquired through the infrared camera, so that temperature monitoring is more accurate, and the infrared camera does not need to be started all the time, so that the data processing capacity can be reduced.
The replenishing module 140 is a device for replenishing the receiving liquid.
In some embodiments, the fluid replacement module includes a drive motor 141, a solenoid valve 142, and a fluid replacement tube 143.
The driving motor 141 is a device for transporting or pressurizing a fluid.
The solenoid valve 142 is a switch for controlling the flow or stop of the liquid in the liquid replenishment pipe 143.
The fluid replacement pipe 143 is a hose connecting the fluid replacement module 140 and the receiving chamber 123. For example, the fluid replacement tubing 192 may include stainless steel tubing, metal tubing, corrugated tubing, rubber tubing, plastic tubing, and the like. In some embodiments, the fluid replacement module 140 is connected to the receiving chamber 123 by a fluid replacement tube 143.
The interaction module 150 refers to a panel having input and display functions. The interaction module 150 may be used to input data and display parameters related to the transdermal test procedure, for example, the parameters related to the transdermal test procedure may include monitoring parameters output by the monitoring module, the operating power of the heating unit, etc. In some embodiments, the interaction module 150 may include a touch screen 151.
The touch screen 151 is an inductive display device that can be used to input data on the interactive module and display parameters related to the transdermal test procedure. For example, the touch screen 151 may be an LCD touch screen, which may display temperature distribution of different components of a detection system of the transdermal test device, a receiving liquid temperature, a thermal imaging image, an operating power of a heating unit, an air pressure in a supply bin, a test time, a total sampling number, a sampled number, and the like.
The processor 160 is a device having an arithmetic capability, such as a CPU. In some embodiments, the processor 160 is respectively in communication with the interaction module, the monitoring module, the fluid infusion module, and the detection station, and is configured to issue at least one set of control instructions according to the data input by the interaction module and/or the monitoring parameters output by the monitoring module, so as to control the fluid infusion module to automatically infuse fluid, control the working power of at least one heating unit on the detection station, and/or control the extraction device to automatically sample. See fig. 2 and the associated description.
In some embodiments, the processor 160 may be configured to obtain at least one set of skin appearance data based on the optical image data, the skin appearance data including at least one of skin thickness, hair follicle density, scar, wrinkle; determining a skin difference index based on at least one set of skin appearance data; and responding to the skin difference index meeting a first preset condition, and sending out early warning. See fig. 3 and the associated description.
In some embodiments, the processor 160 may be configured to obtain gray values for different locations of the skin through the embedded layer of the difference model based on the optical image data; based on the gray value differences, skin appearance data is determined. See fig. 4 and the associated description.
In some embodiments, the processor 160 may determine the skin difference index from the skin appearance data based on a control layer of the difference model. See fig. 4 and the associated description.
In some embodiments, the processor 160 is further configured to determine a test error risk level for the skin to be tested. See fig. 3 and the associated description.
In some embodiments, the detection system 100 of the transdermal test device further comprises an air pressure adjusting module 170, the air pressure adjusting module 170 is connected with the supply bin 121 through an air pipe 173, and the air pressure adjusting module is connected with the processor in a communication manner, and the air pressure adjusting module is used for applying different air pressures into the supply bin according to a control instruction of the processor.
The air pressure adjusting module 170 refers to a device that applies air pressure to the supply bin 121.
The vent pipe 173 is a hose connecting the air pressure adjusting module 170 and the supply chamber 121. For example, the vent tube 173 may include a stainless steel hose, a metal hose, a corrugated hose, a rubber hose, a plastic hose, or the like.
In some embodiments, processor 160 may determine the air pressure applied by the air pressure adjustment module into the supply compartment based on a pre-established database of historical vectors.
In some embodiments, the processor 160 may be configured to predict a sampling time series corresponding to the application of different pressures using a sampling model.
In some embodiments, the processor 160 may be further configured to issue a control instruction to control the air pressure adjustment module to change the air pressure within the supply compartment in response to the monitored parameter meeting a second preset condition.
In some embodiments, the processor 160 may be configured to stop the application of air pressure by the air pressure adjustment module when the skin to be tested is replaced, and determine the time to replace the skin to be tested based on the sampling time sequence.
In some embodiments, the processor 160 may be configured to stop the application of air pressure by the air pressure adjustment module, change the test sample, and enter the next test in response to the test condition not being met.
The contents of applying different air pressures into the supply bin, determining the air pressure applied into the supply bin by the air pressure adjusting module, predicting sampling time sequences corresponding to the application of the different air pressures by using the sampling model, controlling the air pressure adjusting module to change the air pressure in the supply bin, and determining the time for replacing the skin to be tested based on the sampling time sequences can be seen in fig. 5 and related description.
In some embodiments of the present disclosure, the detection system of the transdermal test device may set up a monitoring module to monitor the quality of the skin to be tested, so that the skin to be tested meets the requirements of the transdermal test, so as to reduce false detection of the transdermal test device caused by the substandard skin to be tested, and improve the accuracy of detection of the transdermal test device. And the detection system of the transdermal test equipment is provided with an auxiliary heating device, so that the transdermal test equipment can be assisted to be heated by the self-contained heating device, the constant temperature efficiency and the constant temperature quality are improved, and the accuracy and the reliability of a detection result are ensured.
FIG. 2 is an exemplary flow chart of a method of detection of a transdermal test device according to some embodiments of the present description. As shown in fig. 2, the process 200 includes the following steps. In some embodiments, the process 200 may be performed by a processor.
Step 210, acquiring monitoring parameters based on the monitoring module and/or acquiring interaction data based on the interaction module.
The monitoring parameters refer to data obtained by monitoring by the monitoring module. For example, the monitoring parameters may include optical image data of the skin to be tested, thermographic images, air pressure in the supply compartment, concentration of the test sample in the receiving fluid, etc. The contents of the optical image data and the thermal imaging image of the skin to be tested are shown in fig. 1 and the related description, and the contents of the air pressure in the supply bin and the concentration of the test sample in the receiving liquid are shown in fig. 5 and the related description. The concentration of the test sample in the receiving liquid refers to the concentration of the test sample dissolved in the receiving liquid by penetrating the skin to be tested.
The interactive data refers to data manually input into the interactive module. For example, the interaction data may include test sample type, test duration, test temperature, number of samplings, etc. The test sample types may include cream types, gel types, semi-solid drug types, cosmetic types, and the like; the test duration refers to the duration of transdermal test of the test sample, such as 1 hour, 2 hours, etc.; the test temperature refers to the temperature of the test sample for transdermal test, such as 25deg.C, 37deg.C, etc.; the sampling frequency refers to the frequency of sampling the receiving liquid by the sampling device when the test sample is subjected to the transdermal test.
In some embodiments, the monitoring module may obtain the monitoring parameters. For example, the camera may acquire optical image data of the skin to be tested; the infrared camera can acquire a thermal imaging image; the barometer may obtain the pressure in the supply compartment, etc. In some embodiments, the processor may obtain the interaction data through an interaction module. For example, the processor may obtain the manually entered test sample type, test duration, test temperature, number of samples, etc. through the interaction module.
In some embodiments, the processor may acquire optical image data of the skin to be tested; at least one set of skin appearance data is acquired based on the optical image data, the skin appearance data including at least one of skin thickness, hair follicle density, scar, wrinkle. See fig. 3 and the associated description.
Step 220, issuing at least one set of control instructions based on the interaction data and/or the monitoring parameters; the at least one set of control instructions is used for controlling the fluid infusion module to perform fluid infusion operation and controlling the air pressure adjusting module to adjust air pressure in the transdermal test device.
The control command refers to a command for controlling the detection system of the transdermal test device to perform transdermal test operation. For example, the control instructions may include instructions to adjust temperature, instructions to replace skin to be tested, instructions to automatically replenish liquid, instructions to adjust air pressure in the supply cartridge, instructions to automatically sample, and the like.
In some embodiments, the temperature regulating instruction can improve the constant temperature efficiency and quality, and ensure the accuracy and reliability of the detection result; the instruction for replacing the skin to be tested can avoid detection errors caused by the difference of the skin to be tested; the automatic liquid supplementing instruction can keep the liquid amount in the supply bin constant, so that the measurement of indexes such as the concentration of the detection liquid each time is facilitated, and the detection data is accurate; the instruction for adjusting the air pressure in the supply bin can determine the reasonable pressure applying size, so that the safety and reliability of detection are ensured; the automatic sampling instruction can reduce complicated work and errors of manual operation and improve the accuracy of detection data.
In some embodiments, at least one set of control instructions may be used to control the fluid replacement module to automatically replace fluid. For example, the processor sends out an automatic liquid supplementing instruction to control the liquid supplementing module to automatically supplement the receiving liquid into the receiving bin. In some embodiments, at least one set of control instructions may be used to control the operating power of at least one heating unit on the table. For example, the processor may issue a temperature adjustment command to control the operation of the heating unit connected to the lower temperature side of the table to be increased or to control the operation of the heating unit connected to the higher temperature side of the receiving liquid to be decreased. In some embodiments, at least one set of control instructions may be used to control the extraction device to automatically sample. For example, the processor sends out an automatic sampling instruction, controls the extracting device to automatically sample, the extracting device can automatically sample by starting the extracting motor, the extracting device controls the sampling needle or the sampling tube inserted into the receiving bin to extract the receiving liquid into the sample tube, and then the automatic liquid supplementing module supplements liquid.
In some embodiments, the processor may issue at least one set of control instructions based on the interaction data and/or the monitored parameters in a variety of ways. For example, the processor may preset that the interaction data and/or the monitoring parameter have a mapping relationship with at least one set of control instructions, and then the processor may issue at least one set of control instructions according to the mapping relationship. For example only, the interaction data is that the test temperature of the test sample is 37 ℃, the test duration is 3 hours, the sampling times are 6, the control instruction corresponding to the interaction data is that the working power of the heating unit is 0.5KW, the skin to be tested is replaced every 3 hours, the extraction device automatically samples every 30 minutes, the liquid supplementing module automatically supplements liquid every 30 minutes, and the processor can send out the corresponding control instruction based on the interaction data.
In some embodiments, the infrared camera may acquire thermal imaging data, and the processor may further control the operating power of the at least one heating unit according to the device and the temperature distribution of the receiving liquid. For example, the processor may analyze the RGB data for each pixel in the thermal imaging data, determine a color distribution in the image, and thereby determine a detection system and a receiver fluid temperature distribution of the transdermal test device, and control the operating power of at least one heating unit based on the determined temperature distribution.
In some embodiments, when the temperature distribution of the receiving liquid is uneven, the processor controls the heating unit on the side with lower temperature or the side with higher temperature to change the working power (i.e. increase the working power of the heating unit on the side with lower temperature and decrease the working power of the heating unit on the side with higher temperature), and at the same time, the rotating speed of the electromagnetic stirring sheet at the bottom of the receiving bin is properly increased to promote the liquid to flow and circulate to balance the temperature, and the influence of the temperature change on the detection result is reduced through the balance temperature.
In some embodiments, the processor may control the working power of the at least one heating unit by using a manually preset calculation method, for example, the magnitude of the working power change of the heating unit and the rotation speed of the electromagnetic stirring sheet may be related to a temperature difference between a lower side of the receiving liquid temperature and a higher side of the receiving liquid temperature, and the greater the temperature difference, the greater the magnitude of the working power change of the heating unit and the rotation speed of the electromagnetic stirring sheet.
In some embodiments of the specification, the whole temperature change condition of the detection system of the transdermal test equipment is monitored by using the infrared camera, so that relatively comprehensive temperature data can be obtained, and further, reasonable and efficient temperature regulation and control are performed, and the detection result is prevented from being influenced by uneven temperature distribution.
In some embodiments, the processor may determine the skin difference index based on at least one set of skin appearance data; and responding to the skin difference index meeting a first preset condition, and sending out early warning. See fig. 3 and the associated description.
In some embodiments of the present disclosure, at least one set of control instructions is issued based on the monitoring parameters and/or the interaction data, so as to realize the intelligent operation transdermal test while meeting the user requirements, effectively reduce the complicated work and error of the manual operation, quickly, efficiently, simply and conveniently detect whether the transdermal test equipment is qualified, and ensure the high efficiency and accuracy of the detection.
FIG. 3 is an exemplary flow chart for acquiring monitoring parameters and issuing at least one set of control instructions according to some embodiments of the present description. As shown in fig. 3, the process 300 includes the following steps. In some embodiments, the process 200 may be performed by a processor.
Step 310, obtaining optical image data of skin to be tested; at least one set of skin appearance data is acquired based on the optical image data, the skin appearance data including at least one of skin thickness, hair follicle density, scar, wrinkle.
In some embodiments, the camera in the monitoring module may directly acquire optical image data of the skin to be tested. For example, a camera may take an optical image of the skin surface to be tested. In some embodiments, the camera may also photograph the side of the skin to be tested to obtain optical image data such as the thickness of the skin to be tested, and the processor may display or sound prompt the photographing to be completed through the touch screen, and replace the next skin to be tested.
Skin appearance data refers to data related to the epidermal quality of the skin to be tested. In some embodiments, the skin appearance data may include skin characteristics, skin imperfections, and the like. For example, the skin appearance data may include at least one of skin thickness, hair follicle density, scar, wrinkles. Among other things, the skin appearance data may include, in particular, an area representation of the scar, the length of the wrinkle, etc. By way of example only, the skin appearance data may be a skin thickness of 0.5 millimeters, or the like; hair follicle density may be 80 square centimeters; the scar area is 5 square centimeters; the length of the wrinkles was 1 cm.
In some embodiments, the processor may obtain at least one set of skin appearance data based on the optical image data by various methods. For example, the processor may determine skin appearance data by comparing the similarity of the current optical image data to the historical optical image, and when the similarity of the current optical image data to the historical optical image is greater than a similarity threshold (e.g., 80%), the processor may treat the skin appearance data corresponding to the historical optical image as skin appearance data corresponding to the current optical image data.
In some embodiments, the processor may obtain gray values for different locations of the skin through the embedded layer of the difference model based on the optical image data; based on the gray value differences, skin appearance data is determined. See fig. 4 for the relevant content.
Step 320, determining a skin differential index based on at least one set of skin appearance data.
The skin difference index refers to the degree of similarity of the skin to be tested compared to standard test skin. In some embodiments, the skin differential index may be expressed by a number between 1 and 100, with smaller numbers representing less similar skin to be tested versus standard test skin, i.e., greater differences between the two. For example, the skin differential index of a standard test skin is 100, and the skin differential index of the skin to be tested may be 90, 80, 60, etc. The standard skin refers to skin used for transdermal test.
In some embodiments, the processor may determine the skin differential index based on at least one set of skin appearance data in a variety of ways. For example, the processor may score the skin to be tested based on at least one set of skin appearance data, thereby determining the skin differential index. For example, if the skin thickness of the skin to be tested is normal, the hair follicle density is normal, the total scar area is greater than the area threshold value-10, the total wrinkle length is greater than the length threshold value-10, etc., the skin differential index of the skin to be tested is 100-10=90.
In some embodiments, the processor may also determine the skin difference index from the skin appearance data based on a control layer of the difference model. See fig. 4 and the associated description.
And 330, sending out early warning in response to the skin difference index meeting the first preset condition.
The first preset condition means that the skin difference index of the skin to be tested is lower than a manually preset threshold value. For example, the skin to be tested has a skin differential index of less than 70 or 80, etc. The manually preset threshold can be set according to the requirements of the user, and if the test precision required by the user is high, the manually preset threshold can be moderately adjusted to be high.
The pre-warning means a warning for reminding that the skin to be tested is possibly disqualified. The pre-warning may be any combination of one or more of text information, sound information, image information, etc. For example, the pre-warning may be through a sound message for speaker broadcast, such as "please see skin to be tested" or the like; the method can also be text information, for example, the text information can be 'skin to be tested possibly fails, please check', and the like, and the text information can be displayed through the interaction module.
In some embodiments, the processor may issue the pre-warning in response to the skin differential index meeting a first preset condition. For example, if the skin difference index of the skin to be tested is 60 and is lower than a manually preset threshold, that is, a first preset condition is met, the processor controls the speaker, the interaction module or other components to send out early warning.
The early warning can also comprise removing the skin with the skin difference index which does not accord with the first preset condition, and the like, the reliability of the test result can be ensured by removing the skin with the skin difference index which does not accord with the first preset condition, the unexpected interference to the test result caused by the raw material difference is avoided, whether the transdermal test equipment is qualified or not is detected by analyzing the test result, and the reliability of the detection data is improved.
In some embodiments, after the device issues the pre-warning, the processor may control replacement of the skin to be tested having a greater skin differential index, e.g., skin to be tested having a skin differential index above a manually preset threshold. The manually preset threshold may be 60 or 50, etc.
In some embodiments, the processor may also be used to determine a test error risk level for the skin to be tested.
In some embodiments, the test error risk level refers to an indicator for measuring test result errors, and in some embodiments, the test error risk level may be represented by a value of 1-10, where a larger value may represent a higher test error risk level, i.e., a larger error of the test result.
In some embodiments, the processor may derive a test error risk level for the skin to be tested based on a preset formula. For example, the processor may calculate the average value of the skin difference indexes of different skins to be tested in the same batch of skins to be tested, and then obtain the test error risk level of each skin to be tested by looking up the preset table according to the skin type of each skin to be tested. For example only, if the skin type of a skin to be tested is pigskin, and the skin difference indexes of all the skin to be tested in the same batch are respectively 80, 83, 86, 89, 92, the average value of the skin difference indexes of all the skin to be tested in the same batch can be used as the skin difference table look-up index of the skin to be tested, that is, the skin difference table look-up index of the skin to be tested is 86, in the preset table, when the skin difference table look-up index of the skin to be tested is 86, the corresponding test error risk level is 7, and then the test error risk level of the skin to be tested can be determined to be 7.
In some embodiments of the present disclosure, by determining the risk level of the test error, a clear and reasonable determination can be made on the reliability of the test result, so as to improve the detection accuracy of the transdermal test device and reduce the erroneous determination on the test result to a certain extent.
In some embodiments of the present disclosure, the quality of the skin to be tested is determined by acquiring optical image data with a camera, so that human errors caused by manual screening of the skin to be tested are avoided to a certain extent, the screening accuracy is improved, meanwhile, an early warning is sent out by using unqualified skin to be tested, the reliability of test data is ensured, unexpected interference of raw material differences to test results is avoided, the reliability of test results is ensured, and errors of test results caused by the differences of the skin to be tested are avoided.
It should be noted that the above description of the flow 200 and the flow 300 is for illustration and description only, and is not intended to limit the scope of applicability of the present description. Various modifications and changes to flow 200 and flow 300 may be made by those skilled in the art under the guidance of this specification. However, such modifications and variations are still within the scope of the present description.
FIG. 4 is an exemplary schematic diagram of a difference model shown in accordance with some embodiments of the present description.
In some embodiments, the processor may obtain gray values for different locations of the skin through the embedded layer of the difference model based on the optical image data; based on the gray value differences, skin appearance data is determined.
The differential model 400 refers to a model for judging the skin differential index of the skin to be tested. In some embodiments, the difference model may include any one or combination of various possible models, including a recurrent neural network (Recurrent Neural Network, RNN) model, a deep neural network (Deep Neural Network, DNN) model, a convolutional neural network (Convolutional Neural Network, CNN) model, and so on.
In some embodiments, the difference model 400 may include multiple process layers. As shown in FIG. 4, the difference model 400 may include an embedding layer 420 and a control layer 440.
The embedded layer 420 refers to a feature extraction layer for determining skin appearance data. In some embodiments, the embedded layer 420 may be a convolutional neural network model or the like.
The input to the embedded layer is optical image data 410; the output of the embedded layer is skin appearance data 430. Wherein the content of the optical image data 410 is described with reference to fig. 1 and the associated description thereof, and the content of the skin appearance data 430 is described with reference to fig. 3.
In some embodiments, the initial embedded layer may be trained based on the first training samples and the first tag. The initial embedded layer may be an embedded layer in which no parameters are set. The first training sample may be sample optical image data corresponding to a plurality of different colors or types of skin, and the first label may be actual skin appearance data corresponding thereto. The first training sample may be obtained based on historical data retrieved from a storage device or database, and the tag may be obtained by manual identification and then labeling. Inputting sample optical image data corresponding to various types of skins with different colors or types into an initial embedding layer for training to obtain output skin apparent data, constructing a loss function based on the skin apparent data and actual skin apparent data, and iteratively updating the initial embedding layer based on the loss function until preset conditions are met, and obtaining a trained embedding layer after training is completed. The preset condition may be that the loss function is less than a threshold, that the convergence or that the training period reaches a threshold.
In some embodiments, the processor may determine the skin difference index from the skin appearance data based on a control layer of the difference model. For more details of the difference model see the relevant description above.
The control layer 440 refers to a treatment layer that determines the skin differential index. In some embodiments, the control layer 440 may be a neural network model or the like.
The inputs to the control layer 440 are skin appearance data 430 and skin type 460; the output of the control layer 440 is the skin differential index 450. Wherein the content of the skin appearance data 430 is described with reference to fig. 3 and related description thereof; skin type 460 refers to the type of skin to be tested, for example, skin type 460 may include animal skin (e.g., skin of pigs, guinea pigs, or other rodents), artificial skin, and the like; see fig. 3 and the associated description for the content of the skin deviation index 450.
In some embodiments, the initial control layer may be trained based on the second training sample and the second label. The initial control layer may be a control layer with no parameters set. The second training sample may be sample skin appearance data, sample skin type, and the second label may be its corresponding actual skin difference index. Sample skin appearance data in the second training sample can be obtained through the output of the embedding layer, the sample skin type can be obtained based on historical data called in a storage device or a database, and the label can be obtained through manual calculation and then labeling.
In some embodiments, the human may calculate a score for the skin to be tested based on the sample skin appearance data, thereby determining an actual skin differential index. For example, the thickness of the skin exceeds the thickness threshold by 50% by-10, exceeds the thickness threshold by 100% by-15, and the thickness threshold may be manually set in advance, such as 4 mm; the hair follicle density exceeds 50% of the hair follicle density threshold by-10, and exceeds 100% of the hair follicle density threshold by-15, and the hair follicle density threshold can be manually set in advance, such as 140 hair follicle density per square centimeter; the total scar area is-10 when the total scar area is 50% larger than the area threshold value, and is-15 when the total scar area is 100% larger than the area threshold value, wherein the area threshold value can be manually set in advance, such as 5 square centimeters and the like; the total length of the wrinkles is greater than 50% of the length threshold by-10, and greater than 100% of the length threshold by-15, and the length threshold can be manually set in advance, such as 1 cm. If the skin thickness of the skin to be tested exceeds a thickness threshold of 50% (e.g., 7 mm), the hair follicle density is less than the hair follicle density threshold, the total scar area is less than the area threshold, and the total length of the wrinkles is greater than a length threshold of 100% (e.g., 2.5 cm), the skin differential index of the skin to be tested is 100-10-15 = 75.
During training, sample skin apparent data and sample skin types are input into an initial control layer to be trained, an output skin difference index is obtained, a loss function is constructed based on the skin difference index and an actual skin difference index, the initial control layer is iteratively updated based on the loss function until preset conditions are met, and the trained control layer is obtained after training is completed. The preset condition may be that the loss function is less than a threshold, that the convergence or that the training period reaches a threshold.
In some embodiments, the processor may obtain a trial error risk level based on the skin variance index output by the variance model; the data processing efficiency is improved, and the human error is reduced.
In some embodiments of the specification, the apparent data of the skin and the skin difference index are determined based on the difference model, so that the processing efficiency of the data in the transdermal test process can be effectively improved, human errors can be reduced, the detection results are prevented from being affected by the apparent data of the skin to be tested, and the detection accuracy of the transdermal test equipment is improved.
FIG. 5 is an exemplary flow chart of controlling the application of different air pressures into a supply cartridge according to some embodiments of the present disclosure. As shown in fig. 5, the process 500 includes the following steps. In some embodiments, the process 500 may be performed by a processor.
In some embodiments, the air pressure adjustment module 170 includes an air pressure gauge 171, a solenoid valve 172, and a vent tube 173; the air pressure adjusting module 170 is mechanically connected with the supply bin 121 through an air pipe 173, and is in communication connection with the processor, and is used for applying different air pressures into the supply bin according to control instructions of the processor.
Barometer 171 is an instrument used to measure air pressure. For example, barometers may include mercury barometers, aneroid barometers, and the like. The barometer is used for measuring the air pressure of the supply bin.
The solenoid valve 172 is a switch for controlling the flow or stop of the gas in the vent pipe 173.
In some embodiments, the processor may issue control instructions to the air pressure adjustment module to control the air pressure adjustment module to apply different air pressures into the supply compartment based on the concentration of the test sample in the receiving liquid in the monitored parameter. For example, if the difference between the concentrations of the test samples in the receiving liquid obtained after each sampling is smaller than the concentration threshold, the processor may send a control instruction to the air pressure adjusting module to control the air pressure adjusting module to apply air pressure to the supply bin, and if the difference between the concentrations of the test samples in the receiving liquid obtained after each sampling is smaller, the applied air pressure may be larger, and meanwhile, the applied air pressure may set an upper limit value to avoid damaging the skin to be tested. Wherein the concentration threshold may be set manually, e.g. 0.0001M, etc.
In some embodiments, the processor may determine the air pressure applied by the air pressure adjustment module into the supply compartment based on a pre-established database of historical vectors.
The historical vector database may be used to store skin type, test duration, test sample type, and corresponding air pressure applied to the supply chamber. For more details on skin type, duration of test, type of test sample, see the description above. The air pressure applied by the air pressure adjustment module into the supply compartment may be determined based on a historical vector database.
In some embodiments, the processor may construct the feature vector based on the skin type, the duration of the test, the type of test sample, and the corresponding applied air pressure into the supply cartridge. For example, the processor may construct a feature vector (a, b, c, d), where the feature vector (a, b, c, d) represents information for a skin type a, a test duration b, a test sample type c, and a corresponding applied air pressure d into the supply compartment. In some embodiments, the processor may construct a historical vector database based on the feature vectors. For example, the processor may store the feature vectors as a plurality of sets of history vectors in a history vector database, each set of history vectors may correspond to a different air pressure applied to the supply bin, or the like.
In some embodiments, a vector to be matched is constructed based on the skin type, the test duration and the test sample type, a history vector meeting a preset matching rule between the vector to be matched and the vector to be matched is determined as a target vector, and the air pressure applied to the supply bin corresponding to the target vector is determined as the air pressure applied to the supply bin in the vector to be matched.
The preset matching rule may include a range in which the similarity between the history vector and the vector to be matched in the vector database is greater than a preset similarity (e.g., 80%, etc.). The preset matching rule may further include determining a history vector having the greatest similarity with the vector to be matched as a corresponding target vector. In some embodiments, the similarity between vectors may be expressed based on a vector distance, the greater the vector distance, the less the similarity; the vector distance may use a euclidean distance, a cosine distance, a hamming distance, or the like.
In some embodiments of the present disclosure, based on the historical vector database, the air pressure applied to the supply bin by the air pressure adjusting module is determined, so that the reasonable applied air pressure can be determined, and the safety and reliability of the transdermal test are ensured.
In some embodiments, the processor may use a sampling model to predict sampling times corresponding to the application of different pressures.
The sampling model refers to a model that determines a sampling time series. In some embodiments, the sampling model is a machine learning model, which may include any one or combination of various possible models, including a recurrent neural network model, a deep neural network model, a convolutional neural network model, and the like.
The inputs to the sampling model are the supply compartment air pressure, skin type, skin appearance data and standard sampling time series. The air pressure in the supply bin is the air pressure in the supply bin after the air pressure is applied to the supply bin, and the air pressure in the supply bin can be measured by an air pressure meter; skin type and skin appearance data are described in relation to above; the standard sampling time series refers to a series of conventional sampling time constructs, such as (2, 4,6,8, 10 … 60), when no air pressure is applied to the supply chamber, and represents sampling at 2,4,6,8, 10, … and 60 minutes, respectively, during transdermal testing.
In some embodiments, the standard sampling time series may be related to skin type, test sample type, and manually preset data. For example, if the permeability of the test sample species is poor, the time intervals in the standard sampling time series may be set longer, such as (0, 30, 60, 90, 120 …) or the like.
The output of the sampling model is a sampling time sequence updated from the standard sampling time sequence.
The sampling time series refers to the series constructed by the corresponding sampling time when the air pressure is applied in the supply bin, such as (1, 2,3,4,5, … 30), and represents sampling at 1 min, 2 min, 3 min, 4 min, 5 min … and 30 min respectively in the transdermal test.
In some embodiments, the initial sampling model may be trained based on a third training sample and a third label. The initial sampling model may be a sampling model with no parameters set. The third training samples may include a plurality of sets of training samples, each set of training samples may include a sample supply in-bin air pressure, a sample skin type, sample skin appearance data, and a sample standard sampling time sequence, with different sample supply in-bin air pressures in the plurality of sets of third training samples. The third tag may be its corresponding actual sampling time series. The sample skin appearance data in the third training sample can be obtained through the output of the embedded layer of the difference model, and the air pressure in the sample supply bin, the sample skin type and the sample standard sampling time sequence can be obtained based on historical data fetched from a storage device or a database. The third tag may be obtained by manual calculation followed by labeling, which is described in more detail below with respect to the actual sampling time series.
During training, the air pressure in the sample supply bin, the skin type of the sample, the apparent data of the skin of the sample and the standard sampling time sequence of the sample are input into the initial sampling model for training, the output sampling time sequence is obtained, a loss function is constructed based on the sampling time sequence and the actual sampling time sequence, the initial sampling model is updated based on the loss function in an iteration mode until preset conditions are met, and the training is completed, so that the trained sampling model is obtained. The preset condition may be that the loss function is less than a threshold, that the convergence or that the training period reaches a threshold.
In some embodiments, the processor may determine a sampling time sequence of the test samples in the receiving liquid when different air pressures are applied based on the concentration and sampling time of the test samples in the receiving liquid when no additional air pressure is applied. For example, the processor may obtain the relationship between the concentration of the test sample in the receiving liquid and the sampling time of the skin to be tested of the same skin type without additional application of air pressure, and may obtain a fitted curve a (i.e., a curve of the concentration of the test sample in the receiving liquid relative to the sampling time, whose abscissa is the sampling time and whose ordinate is the concentration of the test sample in the receiving liquid); the processor can also obtain the relation between the concentration of the test sample in the receiving liquid and the sampling time when different air pressures are applied to the skin to be tested of a certain skin type, and a plurality of fitting curves B when different air pressures are applied can be obtained i (i.e., the concentration of the test sample in the receiving liquid is plotted against the sampling time, i represents the amount of applied differential air pressure, and the abscissa represents the sampling time and the ordinate represents the concentration of the test sample in the receiving liquid).The processor can obtain the concentration y of the test sample in the receiving liquid corresponding to the sampling time in the standard sampling time sequence on the fitting curve A n N represents the concentration of the sample in the receiving liquid, and the air pressure P is applied 1 Fitting curve B obtained at the time 1 The ordinate of the obtained is y n A plurality of abscissa corresponding to the plurality of coordinate points is used for constructing the applied air pressure P 1 The time series is actually sampled.
By way of example only, the standard sampling time series is (10, 20, 30) with the concentrations of the test samples in the receiver fluid at 10, 20 and 30 minutes of sampling being 0.0001M, 0.0002M and 0.0003M, respectively; the actual sampling time sequences at 0.04KPa was (5, 10, 15) when the gas pressure was applied at 0.04KPa, with the corresponding sampling times at 0.0001M, 0.0002M and 0.0003M for the test samples in the receiving liquid at 5 minutes, 10 minutes and 15 minutes, respectively.
In the actual test, an actual curve can be established based on the update sampling time sequence and the concentration fitting of an actual test sample, whether the transdermal test equipment is qualified or not is judged by detecting whether the actual curve/data is consistent with the standard curve/data, and if not, the transdermal test equipment is judged to be unqualified.
The standard curve may be the concentration of standard test samples in the receiving fluid versus sampling time sequence for standard skin of the same skin type when the same air pressure is applied. The standard skin may be skin with a skin deviation index of 100 minutes. For more on the skin difference index see fig. 4 and its related description.
In some embodiments, detecting whether the actual curve/data is consistent with the standard curve/data may be understood as: whether the coordinate information of the actual curve corresponds to the coordinate information of the standard curve, for example, whether the concentration Y1 of the actual test sample in the actual curve is included within a preset range of the concentration Y2 of the standard test sample in the standard curve for the same sampling time X1. The preset range may be a range of values centered on a specific point (e.g., the concentration Y2 of the test sample in the standard curve).
In some embodiments, the error level may be determined based on the concentration of the actual test sample and the concentration of the corresponding standard test sample, and whether the transdermal test device is acceptable may be detected by determining whether the error level is less than or equal to a level threshold, e.g., if less than or equal to the level threshold. The rating threshold may be a manually preset value.
In some embodiments of the present disclosure, a sampling time sequence is determined by a sampling model, so that the sampling time of the transdermal test when different air pressures are applied is more accurate, and meanwhile, the test duration is shortened, and the test efficiency is improved.
In some embodiments, the processor sends a control instruction to the air pressure regulating module to control the air pressure regulating module to change the air pressure in the supply bin in response to the monitored parameter meeting a second preset condition.
The second preset condition is that the processor meets the preset condition according to the interaction data input by the interaction module and/or the monitoring parameters acquired by the monitoring module. In some embodiments, the preset condition may include the amplitude of the barometric pressure fluctuation output by the barometer meeting an amplitude threshold, the number of samples meeting a number of times threshold (e.g., greater than a minimum amplitude threshold), or the device and/or receiving fluid temperature exceeding a temperature threshold. The magnitude threshold may be manually preset, the number of times threshold may be 50 times, etc., and the temperature threshold may be 45 ℃ etc., as described in the related description below.
In some embodiments, the processor is responsive to the amplitude of the air pressure fluctuation output by the barometer meeting an amplitude threshold to issue a control instruction to the air pressure adjustment module to control the air pressure adjustment module to decrease the air pressure within the supply compartment or to cease applying air pressure. In some embodiments, the processor sends a control instruction to the air pressure adjustment module to control the air pressure adjustment module to stop applying air pressure in response to the number of samples meeting a number of times threshold, or the device and/or receiving liquid temperature exceeding a temperature threshold.
In some embodiments, the processor may also send a control instruction to the air pressure adjustment module in response to the interaction data input by the user at the interaction module, to control the air pressure adjustment module to change the air pressure within the supply compartment. For example, when the user inputs to stop applying air pressure, the processor sends a control command to the air pressure adjusting module to control the air pressure adjusting module to stop applying air pressure.
In some embodiments, the air pressure adjustment module stops applying air pressure when the skin to be tested is replaced, and the processor may determine the time to replace the skin to be tested based on the sampling time sequence.
In some embodiments, the processor may determine the time to replace the skin to be tested based on the last sampling time in the sequence of sampling times. For example, the last sampling time in the sampling time sequence (0, 30, 60, 90, 120, …, 300) is 300 minutes, and the skin to be tested can be replaced after sampling at 300 minutes, and the processor can determine the time point as the time for replacing the skin to be tested. The content of the sampling time sequence can be seen in fig. 5 and its related description.
In some embodiments of the present disclosure, the time for replacing the skin to be tested is determined based on the sampling time sequence, so that the time for replacing the skin to be tested can be accurately confirmed in advance, and the transdermal test can be performed efficiently.
In some embodiments, the processor may stop applying air pressure, change test sample, and enter the next test in response to the skin to be tested not meeting the test condition.
The test conditions refer to the test requirements that need to be met for conducting a transdermal test. For example, the skin to be tested meets the test requirements, etc.
In some embodiments, the processor may determine whether the transdermal test device is acceptable based on the air pressure fluctuation amplitude at a plurality of time points output by the barometer, and if the air pressure fluctuation amplitude at a plurality of time points is greater than the amplitude threshold, determine that the transdermal test device is unacceptable, and replace the transdermal test device to be tested (e.g., the test device leaks).
The amplitude threshold value refers to a threshold value of the air pressure fluctuation amplitude. For example, the amplitude threshold (-0.15, +0.15) indicates that the air pressure in the supply bin may drop by a value within 0.15KPa or rise by a value within 0.15KPa when no additional air pressure is applied or when air pressure is applied.
In some embodiments, the amplitude threshold may be set according to the tightness of the supply bin, and the tightness of the supply bin is good, the amplitude threshold may be moderately narrowed.
In some embodiments, the amplitude threshold may also be related to a skin variance index. See fig. 3 and its associated description for more details of the skin differential index.
In some embodiments, the amplitude threshold may be adjusted according to a skin difference index. For example, the processor may set a standard amplitude threshold (-0.15, +0.15), the larger the skin difference index, the smaller the variation value of the amplitude threshold, if the skin difference index is 90, the amplitude threshold may be adjusted to (-0.175, +0.175); if the skin difference index is 80, the amplitude threshold may be adjusted to (-0.2, +0.2), etc. The standard amplitude threshold value refers to a preset reference amplitude threshold value.
In some embodiments, the processor may calculate the amplitude threshold according to a preset formula. For example, the amplitude threshold is equal to the standard amplitude threshold multiplied by the coefficient of difference; the difference coefficient may be a difference index of 100/skin to be tested, i.e. the larger the skin difference index is, the smaller the variation value of the amplitude threshold is. For example only, the standard amplitude threshold is (-0.15, +0.15), and if the skin difference index is 80 and the difference coefficient is 100/80=1.25, the amplitude threshold may be adjusted to (-0.15×1.25, +0.15×1.25), i.e., (-0.1875, +0.1875).
In some embodiments of the present disclosure, the skin differential index of the skin to be tested is controlled, so that the test result error is controlled within a reasonable range, and meanwhile, the test efficiency is ensured, the test result error is avoided, and a large number of unqualified transdermal test devices are generated.
In some embodiments of the present disclosure, the application of air pressure is stopped when the test condition is not satisfied, the transdermal test device to be detected is replaced, the next test is performed, the test condition is ensured to be qualified, and the accuracy of the test result is improved.
In some embodiments of the present disclosure, the air pressure adjusting module may effectively shorten the detection period and improve the detection efficiency on the premise of ensuring reliable test results.
Some embodiments of the present disclosure provide a transdermal test device that includes a processor for performing a method of detecting a transdermal test device.
Some embodiments of the present description provide a computer-readable storage medium storing computer instructions that, when executed by a processor, implement a method of testing a transdermal test device.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.
Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.
Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are presented in the claims are required for the present description. Indeed, less than all of the features of a single embodiment disclosed above.
In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the number allows for a 20% variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations that may be employed in some embodiments to confirm the breadth of the range, in particular embodiments, the setting of such numerical values is as precise as possible.
Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., referred to in this specification is incorporated herein by reference in its entirety. Except for application history documents that are inconsistent or conflicting with the content of this specification, documents that are currently or later attached to this specification in which the broadest scope of the claims to this specification is limited are also. It is noted that, if the description, definition, and/or use of a term in an attached material in this specification does not conform to or conflict with what is described in this specification, the description, definition, and/or use of the term in this specification controls.
Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims (9)

1. A test system for a transdermal test device, the test system comprising: the device comprises an interaction module, a monitoring module, a liquid supplementing module, an air pressure adjusting module, a detection table and a processor; wherein,
The interaction module comprises an LCD touch screen;
the monitoring module comprises a camera and an infrared camera;
the fluid infusion module comprises a driving motor, an electromagnetic valve and a fluid infusion pipe;
the detection table is used for fixing the transdermal test equipment and comprises an extraction device and an auxiliary heating device;
the processor is respectively in communication connection with the interaction module, the monitoring module, the liquid supplementing module, the air pressure adjusting module and the detection platform; and the air pressure adjusting module is used for sending at least one group of control instructions according to the data input by the interaction module, the parameters output by the monitoring module and/or the parameters output by the detection platform so as to control the liquid supplementing module to execute liquid supplementing operation and control the air pressure adjusting module to adjust the air pressure of the supply bin in the transdermal test equipment.
2. The apparatus of claim 1, wherein the camera is adapted to obtain optical image data of the skin to be tested in accordance with instructions of the processor,
the processor is configured to:
acquiring at least one set of skin appearance data based on the optical image data, the skin appearance data including at least one of skin thickness, hair follicle density, scar, wrinkle;
Determining a skin difference index based on the at least one set of skin appearance data;
and responding to the skin difference index meeting a first preset condition, and sending out early warning.
3. The apparatus of claim 1, wherein the air pressure adjustment module comprises an air pressure gauge, a solenoid valve, and a vent tube; the air pressure adjusting module is mechanically connected with the supply bin through the vent pipe, and the air pressure adjusting module is in communication connection with the processor.
4. The apparatus of claim 3, wherein the processor is further configured to:
and responding to the parameter output by the monitoring module to meet a second preset condition, sending out the control instruction, and controlling the air pressure regulating module to change the air pressure in the supply bin.
5. A method of testing a transdermal test device, the method being performed by a processor of a test system of the transdermal test device, the system further comprising: the device comprises an interaction module, a monitoring module, a liquid supplementing module, an air pressure adjusting module and a detection platform, wherein the method comprises the following steps:
acquiring monitoring parameters based on the monitoring module and/or acquiring interaction data based on the interaction module;
issuing at least one set of control instructions based on the interaction data and/or the monitoring parameters; the at least one set of control instructions is used for controlling the fluid infusion module to perform fluid infusion operation and controlling the air pressure adjusting module to adjust the air pressure of the supply bin in the transdermal test device.
6. The method of claim 5, wherein the obtaining the monitoring parameters comprises:
acquiring optical image data of the skin to be tested; acquiring at least one set of skin appearance data based on the optical image data, the skin appearance data including at least one of skin thickness, hair follicle density, scar, wrinkle;
said issuing at least one set of control instructions based on said interaction data and/or said monitored parameters comprises:
determining a skin difference index based on the at least one set of skin appearance data;
and responding to the skin difference index meeting a first preset condition, and sending out early warning.
7. The method of claim 5, wherein said issuing at least one set of control instructions based on said interaction data and/or said monitored parameters comprises:
and responding to the monitoring parameters meeting a second preset condition, and sending at least one group of control instructions to control the air pressure regulating module to change the air pressure of the supply bin.
8. A device for the detection of a transdermal test device comprising a processor, wherein the processor is adapted to perform the method for the detection of a transdermal test device according to any one of claims 5 to 7.
9. A computer readable storage medium storing computer instructions which, when executed by a processor, implement a method of detecting a transdermal test device according to any one of claims 5 to 7.
CN202310200918.XA 2023-03-03 2023-03-03 Detection system, method, device and medium of transdermal test equipment Active CN116296503B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310200918.XA CN116296503B (en) 2023-03-03 2023-03-03 Detection system, method, device and medium of transdermal test equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310200918.XA CN116296503B (en) 2023-03-03 2023-03-03 Detection system, method, device and medium of transdermal test equipment

Publications (2)

Publication Number Publication Date
CN116296503A CN116296503A (en) 2023-06-23
CN116296503B true CN116296503B (en) 2024-02-13

Family

ID=86797205

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310200918.XA Active CN116296503B (en) 2023-03-03 2023-03-03 Detection system, method, device and medium of transdermal test equipment

Country Status (1)

Country Link
CN (1) CN116296503B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205175873U (en) * 2015-11-06 2016-04-20 天津市中宝制药有限公司 Intelligent transdermal measurement experiment device of dosing
CN106604677A (en) * 2014-09-04 2017-04-26 Rsp系统公司 Method and apparatus for transdermal in vivo measurement by raman spectroscopy
CN206431013U (en) * 2017-02-14 2017-08-22 武汉科福新药有限责任公司 A kind of transdermal diffusion apparatus with humidity display and regulatory function

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9339236B2 (en) * 2013-07-05 2016-05-17 James Tyler Frix Continuous transdermal monitoring system and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106604677A (en) * 2014-09-04 2017-04-26 Rsp系统公司 Method and apparatus for transdermal in vivo measurement by raman spectroscopy
CN205175873U (en) * 2015-11-06 2016-04-20 天津市中宝制药有限公司 Intelligent transdermal measurement experiment device of dosing
CN206431013U (en) * 2017-02-14 2017-08-22 武汉科福新药有限责任公司 A kind of transdermal diffusion apparatus with humidity display and regulatory function

Also Published As

Publication number Publication date
CN116296503A (en) 2023-06-23

Similar Documents

Publication Publication Date Title
US11192100B2 (en) Multi-factor urine test system that adjusts for lighting and timing
CN116296503B (en) Detection system, method, device and medium of transdermal test equipment
CN109976936B (en) Intelligent diagnosis analysis and maintenance guiding method and system for automobile four-wheel positioning fault
CN111189494A (en) Measurement label, image color restoration method thereof and measurement identification method
CN112105923A (en) Biological measurement object concentration measurement method using artificial intelligence deep learning
US20030225341A1 (en) Method and device for measuring blood gas parameters
CN108368471B (en) Identification of calibration offset for PH measuring devices
JP2003235544A (en) Method for controlling culture of biological cell, control device for controlling culture apparatus and culture apparatus
CN104237067B (en) Glass hydrometer detecting/calibrating device
CN114326863A (en) Viscosity and temperature online monitoring device for oiling tank and control system thereof
CN115523962A (en) Online monitoring control system for garment fabric production printing and dyeing process
CN111122635B (en) Online evaluation method and system for edible fungus drying state
CN111860464B (en) Substation auxiliary monitoring system pointer reading identification compensation method and device
CN113427969B (en) Vehicle-mounted air conditioner function self-checking method, system and equipment and readable storage medium
CN107297007B (en) Method and device for measuring operating parameters of breathing machine
CN104450499A (en) Early warning method of pichia pastoris fermentation process based on support vector machine
US11636952B2 (en) System and method of measuring body fluids
WO2017129634A1 (en) Estimating a substance concentration using multiple non-invasive sensors
JP4723209B2 (en) Temperature measuring method and apparatus for carrying out the method
CN110412026A (en) A kind of tobacco aromaticss preparation accuracy method for quickly detecting
CN117554601B (en) Detection data management method, device, equipment and storage medium
CN114648532B (en) Polyester film mechanical property detection device based on optical recognition
Zhang et al. Coupling a machine vision sensor and a neural net supervised controller: controlling microbial cultivations
CN204241331U (en) Glass overstatement testing calibration device
CN116840281B (en) Method for detecting curing of hot melt adhesive in moisture curing reaction type

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant