CN113686757A - Daily mask air permeability detection method and device - Google Patents
Daily mask air permeability detection method and device Download PDFInfo
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Abstract
The invention provides a method and a device for detecting the air permeability of a daily mask, wherein the method comprises the following steps: obtaining a first temperature set of a wearing face of a first daily mask in a first preset time period through a first temperature sensor; obtaining a second temperature set of the isolation surface through a second temperature sensor; obtaining a first temperature difference set according to the first temperature set and the second temperature set; obtaining a first humidity set of a wearing face of a first daily mask in a first preset time period through a first humidity sensor; obtaining a second humidity set of the isolation surface through a second humidity sensor; obtaining a first humidity difference set according to the first humidity set and the second humidity set; performing curve fitting on the first temperature difference set and the first humidity difference set to obtain a fitting characteristic set; and inputting the fitting feature set into a daily mask air permeability detection model to obtain a first air permeability detection result. The invention establishes a method for quantitatively detecting the air permeability of a daily mask.
Description
Technical Field
The invention relates to the technical field related to intelligent measurement and analysis technology, in particular to a method and a device for detecting the air permeability of a daily mask.
Background
With the outbreak of new crown epidemic situation, the medical mask becomes a daily consumable which needs to be prepared for all families, and the medical mask can effectively block most of droplets containing bacteria and viruses and protect the health of human bodies. In addition to medical masks, daily masks having functions of gas defense, dust prevention, allergy prevention, and the like are used in daily life.
No matter what kind of gauze mask, after using, because human breathing and external pollution can lead to the functions such as preventing flying the foam of gauze mask itself, preventing allergy to receive the influence, also can lead to the gas permeability of gauze mask to receive the influence, to not disposable gauze mask, people often need through wearing whether decay of experience judgement gauze mask's gas permeability, and then the decision is the gauze mask that will update or not. Or, users with different physiques (such as asthma patients) need to select the mask according to the air permeability of the mask, so that the influence on breathing is avoided.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
whether the air permeability of the daily mask is attenuated in use in the prior art needs to be worn by a user for experience judgment, and the judgment process is not accurate and intelligent enough.
Disclosure of Invention
The embodiment of the application provides a daily mask air permeability detection method and device, and is used for solving the technical problems that in the prior art, the air permeability of a daily mask is judged, the judgment process is too subjective and is not accurate and intelligent due to the fact that the daily mask is mainly worn by a user for experience. The temperature set of the wearing surface of the daily mask in a preset time period is detected through the first temperature sensor, the temperature set of the separating surface of the daily mask in the preset time period is detected through the second temperature sensor, and the temperature difference set is obtained through the two temperature sets; and acquiring a humidity set of the wearing face of the daily mask in a preset time period through a first humidity sensor, acquiring a humidity set of the separating face of the daily mask in the preset time period through a second humidity sensor, acquiring a humidity difference set through the two humidity sets, performing curve fitting on the temperature difference set and the humidity difference set to acquire a fitting characteristic set, and inputting the fitting characteristic set into a daily mask air permeability detection model to acquire a first air permeability detection result. The embodiment of the application carries out temperature detection through the wearing face and the isolating face to daily gauze mask and obtains first difference in temperature set to carry out humidity detection through the wearing face and the isolating face to daily gauze mask and obtain first difference in humidity set, carry out curve fitting and input daily gauze mask gas permeability detection model through first difference in temperature set and first difference in humidity set, obtain the gas permeability testing result of gauze mask, reached the technological effect that carries out accuracy, high-efficiently detection to the gas permeability of daily gauze mask.
In view of the above problems, the embodiments of the present application provide a method and an apparatus for detecting air permeability of a daily mask.
In a first aspect of the embodiments of the present application, there is provided a daily mask air permeability detection method, wherein the method is applied to a daily mask air permeability detection device, the device includes a dual temperature sensor and a dual humidity sensor, and the method includes: obtaining a first temperature set of a wearing face of a first daily mask in a first preset time period through a first temperature sensor; obtaining a second temperature set of the isolation surface of the first daily mask in the first predetermined period of time through a second temperature sensor; obtaining a first temperature difference set according to the first temperature set and the second temperature set; obtaining a first humidity set of a wearing surface of the first daily mask in the first preset time period through a first humidity sensor; obtaining a second humidity set of the isolation surface of the first daily mask in the first predetermined period of time through a second humidity sensor; obtaining a first humidity difference set according to the first humidity set and the second humidity set; performing curve fitting on the first temperature difference set and the first humidity difference set to obtain a fitting characteristic set; and inputting the fitting feature set into a daily mask air permeability detection model to obtain a first air permeability detection result.
In a second aspect of the embodiments of the present application, there is provided a daily mask air permeability detection device, wherein the device includes: a first obtaining unit for obtaining a first temperature set of a wearing face of a first daily mask in a first preset time period through a first temperature sensor; a second obtaining unit, configured to obtain, by a second temperature sensor, a second temperature set of the isolation surface of the first daily mask at the first predetermined period; a first processing unit, configured to obtain a first temperature difference set according to the first temperature set and the second temperature set; a third obtaining unit configured to obtain, by a first humidity sensor, a first humidity set of a wearing surface of the first daily mask for the first predetermined period of time; a fourth obtaining unit, configured to obtain, by a second humidity sensor, a second humidity set of the isolation surface of the first daily mask for the first predetermined period of time; a second processing unit, configured to obtain a first humidity difference set according to the first humidity set and the second humidity set; the third processing unit is used for performing curve fitting on the first temperature difference set and the first humidity difference set to obtain a fitting characteristic set; and the fifth obtaining unit is used for inputting the fitting feature set into the daily mask air permeability detection model to obtain a first air permeability detection result.
The third aspect of the embodiment of the application provides a daily gauze mask gas permeability detection device, includes: a processor coupled to a memory for storing a program that, when executed by the processor, causes an apparatus to perform the steps of the method according to the first aspect.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the embodiment of the application obtains first difference in temperature set through carrying out temperature detection to the wearing face and the isolation surface of daily gauze mask to carry out humidity detection through the wearing face and the isolation surface to the daily gauze mask and obtain first difference in humidity set, carry out curve fitting and input daily gauze mask gas permeability detection model through first difference in temperature set and first difference in humidity set, obtain the gas permeability testing result of gauze mask. The embodiment of the application respectively carries out the detection of temperature and humidity through wearing the face and the isolation surface to the gauze mask, can effectively synthesize the influence of temperature difference and humidity difference to the gauze mask gas permeability to establish the method of quantization detection daily gauze mask gas permeability, replaced the method of traditional human subjective experience daily gauze mask gas permeability of feeling, can limitedly avoid the relatively poor problem that influences user experience of using of gauze mask gas permeability to take place, reached the accurate and technical effect that detects daily gauze mask gas permeability high-efficiently.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flow chart of a method for detecting air permeability of a daily mask according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating a second air permeability detection result obtained in the daily mask air permeability detection method provided by the embodiment of the present application;
fig. 3 is a schematic flow chart of a force attenuation parameter obtained in the method for detecting the air permeability of a daily mask according to the embodiment of the present application;
fig. 4 is a schematic flow chart illustrating a third air permeability detection result obtained in the daily mask air permeability detection method provided in the embodiment of the present application;
fig. 5 is a schematic view of a flow chart of feature set obtained in the method for detecting the air permeability of a daily mask according to the embodiment of the present application;
fig. 6 is a schematic view illustrating a flow of information of materials obtained in a method for detecting air permeability of a daily mask according to an embodiment of the present application;
fig. 7 is a schematic flow chart illustrating a process of deleting partial temperature difference data in the method for detecting the air permeability of a daily mask according to the embodiment of the present application;
FIG. 8 is a schematic structural diagram of a device for detecting the air permeability of a daily mask according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a first processing unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a second processing unit 16, a third processing unit 17, a fifth obtaining unit 18, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The embodiment of the application provides a daily mask air permeability detection method and device, and is used for solving the technical problems that in the prior art, whether the air permeability of a daily mask is attenuated or not is judged, the judgment process is too subjective and is not accurate and intelligent due to the fact that the daily mask is worn mainly by a user for experience. The temperature set of the wearing surface of the daily mask in a preset time period is detected through the first temperature sensor, the temperature set of the separating surface of the daily mask in the preset time period is detected through the second temperature sensor, and the temperature difference set is obtained through the two temperature sets; and acquiring a humidity set of the wearing face of the daily mask in a preset time period through a first humidity sensor, acquiring a humidity set of the separating face of the daily mask in the preset time period through a second humidity sensor, acquiring a humidity difference set through the two humidity sets, performing curve fitting on the temperature difference set and the humidity difference set to acquire a fitting characteristic set, and inputting the fitting characteristic set into a daily mask air permeability detection model to acquire a first air permeability detection result. The method for quantitatively detecting the air permeability of the daily mask is established, the traditional method for subjectively feeling the air permeability of the daily mask by a human body is replaced, the problem that the air permeability of the mask is poor to influence the user use experience can be avoided to a limited extent, and the technical effect of accurately and efficiently detecting the air permeability of the daily mask is achieved.
Summary of the application
No matter what kind of gauze mask, after using, because human breathing and external pollution can lead to the functions such as preventing flying the foam of gauze mask itself, preventing allergy to receive the influence, also can lead to the gas permeability of gauze mask to receive the influence, to not disposable gauze mask, people often need through wearing whether decay of experience judgement gauze mask's gas permeability, and then the decision is the gauze mask that will update or not. Or, users with different physiques (such as asthma patients) need to select the mask according to the air permeability of the mask, so that the influence on breathing is avoided. To the gas permeability of daily gauze mask, need the user to wear to experience the judgement among the daily life, its judgement process is accurate, intelligent inadequately, and then has the experience that probably influences the user and use daily gauze mask, threatens healthy even.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a method and a device for detecting the air permeability of a daily mask, wherein the method comprises the following steps: obtaining a first temperature set of a wearing face of a first daily mask in a first preset time period through a first temperature sensor; obtaining a second temperature set of the isolation surface of the first daily mask in the first predetermined period of time through a second temperature sensor; obtaining a first temperature difference set according to the first temperature set and the second temperature set; obtaining a first humidity set of a wearing surface of the first daily mask in the first preset time period through a first humidity sensor; obtaining a second humidity set of the isolation surface of the first daily mask in the first predetermined period of time through a second humidity sensor; obtaining a first humidity difference set according to the first humidity set and the second humidity set; performing curve fitting on the first temperature difference set and the first humidity difference set to obtain a fitting characteristic set; and inputting the fitting feature set into a daily mask air permeability detection model to obtain a first air permeability detection result.
Having described the basic principles of the present application, the following embodiments will be described in detail and fully with reference to the accompanying drawings, it being understood that the embodiments described are only some embodiments of the present application, and not all embodiments of the present application, and that the present application is not limited to the exemplary embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Example one
As shown in fig. 1, the embodiment of the application provides a method for detecting air permeability of a daily mask, wherein the method comprises the following steps:
s100: obtaining a first temperature set of a wearing face of a first daily mask in a first preset time period through a first temperature sensor;
s200: obtaining a second temperature set of the isolation surface of the first daily mask in the first predetermined period of time through a second temperature sensor;
s300: obtaining a first temperature difference set according to the first temperature set and the second temperature set;
specifically, the first daily mask includes any mask for any purpose, and illustratively, the first daily mask includes a medical mask, a gas mask, a dust mask, an allergy mask, and the like. Also, the first day mask may include a disposable mask and a non-disposable mask. Wherein, if the first daily mask is a disposable mask, the air permeability of the first daily mask can be detected under the condition that the mask needs to be taken off for a short time such as dining; if the first daily mask is a non-disposable mask, the air permeability of the first daily mask can be detected after one wearing. The wearing surface is the surface which is attached to the face of the user after the user wears the mask, and the isolation surface is the surface opposite to the wearing surface and used for isolating external spray, dust, pollen and the like.
The first temperature sensor and the second temperature sensor are any devices capable of detecting temperature in the prior art, illustratively, the first temperature sensor and the second temperature sensor are both infrared temperature sensors, and can effectively detect the temperature of the wearing surface and the isolation surface of the first daily mask. The first predetermined period of time may be set to a period of any time width, for example, the first predetermined period of time is a period of time in which the first daily mask was last worn, or alternatively, the first predetermined period of time is a period of time of 2 hours of sprint, and the air permeability of the first daily mask after wearing the first daily mask for 2 hours of sprint is measured, but is not limited thereto.
The first temperature set is a set of temperatures detected by the first temperature sensor at a certain point of the wearing surface of the first daily mask for a first predetermined period of time, and the first temperature set is not limited to a set of temperatures detected by the first temperature sensor at a certain point of the wearing surface of the first daily mask for a first predetermined period of time, and may be a set of temperatures detected at a plurality of positions of the wearing surface of the first daily mask. The first day mask wearing face is closer to the mouth and nose breathing position of a user, the temperature is higher, the temperature is farther away from the mouth and nose breathing position of the user, the temperature is closer to the normal temperature, and normal distribution is formed. Therefore, the first temperature sensor can detect the temperature set of a certain point of the wearing face of the first daily mask in the first preset time period, and can also detect the multi-position temperature set of a plurality of positions of the wearing face of the first daily mask in the first preset time period, and a person skilled in the art can perform detection and acquisition according to the requirement. The principle of obtaining the second temperature set of the isolation surface of the first daily mask in the first preset time period by the second temperature sensor is the same as that of obtaining the first temperature set by the first temperature sensor, and the description is omitted here.
Specifically, the first set of temperature differences is a set of differences between a first set of temperatures and a second set of temperatures, wherein the first set of temperature differences may be a set of temperature differences between the first set of temperatures at a point on the wearing surface of the first daily mask and the second set of temperatures at a point on the isolation surface of the first daily mask, and the points corresponding to the wearing surface and the isolation surface of the first daily mask are opposite points on the first daily mask. The first temperature difference set can also be a temperature difference set of a first temperature set at a plurality of positions of the wearing surface of the first daily mask and a second temperature set at a plurality of positions of the isolation surface, and the first temperature set and the second temperature set correspond to a plurality of positions of the wearing surface and the isolation surface in a one-to-one correspondence mode. According to the method, the wearing surface and the isolation surface of the first daily mask are subjected to temperature detection to respectively obtain the first temperature set and the second temperature set, so that the first temperature difference set is obtained, the influence parameters of the temperature difference on the air permeability of the mask can be analyzed through the difference between the wearing surface and the isolation surface, the method for quantitatively detecting the air permeability of the daily mask is further constructed, and the technical effect of accurately and efficiently detecting the air permeability of the daily mask is achieved.
S400: obtaining a first humidity set of a wearing surface of the first daily mask in the first preset time period through a first humidity sensor;
s500: obtaining a second humidity set of the isolation surface of the first daily mask in the first predetermined period of time through a second humidity sensor;
s600: obtaining a first humidity difference set according to the first humidity set and the second humidity set;
specifically, the first humidity sensor and the second humidity sensor are any devices capable of detecting humidity in the prior art, and exemplarily, the first humidity sensor and the second humidity sensor are both capacitive humidity sensors and can effectively detect humidity of the wearing surface and the isolation surface of the first daily mask. The first humidity set is a set of humidities of the wearing face of the first daily mask in the first predetermined period detected by the first humidity sensor, and the first humidity set is not limited to a set of humidities of a certain point of the wearing face of the first daily mask in the first predetermined period detected by the first humidity sensor, and may also be a set of humidities detected in the first predetermined period at a plurality of positions of the wearing face of the first daily mask. And the second humidity sensor detects and obtains a second humidity set of the isolation surface of the first daily mask in the first preset time period, and the detection and obtaining principle of the first humidity set is the same, and the description is omitted here.
Specifically, the first humidity difference set is a set of differences between a first humidity set and a second humidity set, wherein the first humidity difference set may be a humidity difference set between the first humidity set at a certain point of the wearing surface of the first daily mask and the second humidity set at a certain point of the isolation surface, and one point of the first humidity set and the second humidity set corresponding to the wearing surface and the isolation surface is an opposite point on the first daily mask. The first humidity difference set can also be a humidity difference set of a first humidity set at a plurality of positions of the wearing surface of the first daily mask and a second humidity set at a plurality of positions of the isolation surface, and the first humidity set and the second humidity set correspond to a plurality of positions of the wearing surface and the isolation surface in a one-to-one correspondence mode. According to the method, the wearing surface and the isolation surface of the first daily mask are subjected to humidity detection to respectively obtain the first humidity set and the second humidity set and further obtain the first humidity difference set, influence parameters of the humidity difference on the air permeability of the mask can be analyzed through the difference of the wearing surface and the isolation surface, and then the method for quantitatively detecting the air permeability of the daily mask is constructed, so that the technical effect of accurately and efficiently detecting the air permeability of the daily mask is achieved.
S700: performing curve fitting on the first temperature difference set and the first humidity difference set to obtain a fitting characteristic set;
specifically, in actual daily mask use, the first temperature difference set and the first humidity difference set of the wearing surface and the isolation surface do not necessarily form a linear relationship with time in the first predetermined time period, and temperature difference data in the first temperature difference set and humidity difference data in the first humidity difference set tend to be discrete with respect to a time coordinate. Therefore, in the embodiment of the present application, the curve fitting is performed on the first temperature difference set and the first humidity difference set, and the data in the first temperature difference set and the first humidity difference set are approximated by "optimal" curves, so as to obtain a fitting feature set including the data in the first temperature difference set and the first humidity difference set. The fitting characteristic set comprises a certain functional relation between a first temperature difference set and a first humidity difference set in a first preset time period and time, the first temperature difference set and the first humidity difference set are subjected to curve fitting, so that the temperature difference and the humidity difference of a wearing surface and an isolation surface of the daily mask in the first preset time period form a data fitting characteristic set, the temperature difference and the humidity difference of the wearing surface and the isolation surface are represented through data, the accuracy of temperature difference and humidity difference data can be improved, and then the method for quantitatively detecting and judging the air permeability of the daily mask is constructed.
S800: and inputting the fitting feature set into a daily mask air permeability detection model to obtain a first air permeability detection result.
Specifically, the daily mask air permeability detection model is a neural network model, namely a neural network model in machine learning, reflects many basic characteristics of human brain functions, and is a highly complex nonlinear dynamic learning system. Wherein, it can carry out continuous self-training study according to training data, every group in the multiunit training data all includes: the daily mask air permeability detection model comprises a fitting feature set and identification information used for identifying the daily mask air permeability detection model, the fitting feature set is obtained by curve fitting of a first temperature difference set and a first humidity difference set, the daily mask air permeability detection model is continuously corrected by self, and when the output information of the daily mask air permeability detection model reaches a preset accuracy rate/convergence state, the supervision learning process is ended. Through right daily gauze mask gas permeability detection model carries out the data training, makes daily gauze mask gas permeability detection model handles the input data more accurate, and then makes the output first gas permeability testing result is also more accurate, and daily gauze mask gas permeability detection model in the embodiment of this application has stronger analysis computing power, can export comparatively accurate first gas permeability testing result, and then can judge the gas permeability grade of first daily gauze mask, if the gas permeability is relatively poor, then the user can change the gauze mask of using new daily gauze mask or chooseing for use other gas permeability preferred according to the demand. The method for quantitatively detecting the air permeability of the daily mask is established by establishing the daily mask air permeability detection model, outputting an accurate first air permeability detection result and matching with the temperature and humidity detection of the first daily mask, and the technical effect of accurately and efficiently detecting the air permeability of the daily mask is achieved.
As shown in fig. 2, the method provided in the embodiment of the present application further includes step S900, where step S900 includes:
s910: obtaining an initial expiratory force through a first force sensor;
s920: obtaining filtered expiratory force through a second force sensor;
s930: obtaining a strength attenuation parameter according to the initial expiratory strength and the filtered expiratory strength;
s940: and adjusting the first air permeability detection result according to the force attenuation parameter to obtain a second air permeability detection result.
Specifically, the first force sensor is used for detecting the initial expiratory force of the wearing face of the first daily mask, namely the force of the expired air to the wearing face when a user wears the first daily mask. The second force sensor is used for detecting the filtering exhalation force of the isolation surface of the second daily mask, namely the force generated outside the isolation surface after the exhaled air permeates the first daily mask when the user wears the first daily mask. Through detecting the initial expiratory dynamics that produces and pass the filtration expiratory dynamics that produces behind the first day gauze mask of wearing the face when the user wears first day gauze mask expiration, can know the filtration parameter of first day gauze mask to the expiratory dynamics, dynamics decay parameter promptly, and then know the gas permeability good degree of first day gauze mask. Illustratively, if the air permeability of the first daily mask is better, the difference value between the initial expiratory strength and the filtered expiratory strength is smaller, and the strength attenuation parameter is smaller; if the air permeability of the first daily mask is poor, the difference between the processed expiration strength and the filtered expiration strength is large, and the strength attenuation parameter is large.
The first air permeability detection result is adjusted through the force attenuation parameter, a second air permeability detection result is obtained, and the first air permeability detection result is obtained by inputting a daily mask air permeability detection model after curve fitting on the basis of the first temperature difference set and the first humidity difference set. This application embodiment adjusts first gas permeability testing result through dynamics decay parameter, and the breathing performance difference of first day with gauze mask two sides is appraised the gas permeability and is judged through exhaling, can effectively adjust first gas permeability testing result, has reached and has obtained more accurate second gas permeability testing result, improves the technological effect of the accuracy of daily gauze mask gas permeability aassessment.
As shown in fig. 3, step S930 in the embodiment of the present application includes:
s931: obtaining a first capture location of the first force sensor;
s932: obtaining a second acquisition location of the second force sensor;
s933: obtaining a first distance according to the first acquisition position and the second acquisition position;
s934: obtaining a self-attenuating expiratory force according to the initial expiratory force and the first distance;
s935: and obtaining the strength attenuation parameter through machine learning according to the self-attenuation expiratory strength and the filtering expiratory strength.
Specifically, the first force sensor and the second force sensor are respectively arranged at a first collecting position and a second collecting position on two sides of a wearing surface and an isolation surface of the first daily mask, the first force sensor can be attached to the wearing surface and can have a certain distance with the wearing surface, and similarly, the second force sensor can be attached to the isolation surface and can also have a certain distance with the isolation surface. Therefore, a first distance exists between the first collecting position and the second collecting position, and in the first distance, when the user wears the first daily mask to exhale, the strength of the exhaled breath is attenuated due to the resistance of air when the strength of the exhaled breath is transmitted within the first distance. The self-attenuating expiratory force can be obtained by a person skilled in the art by detecting the attenuating force of the expiratory force after propagation within the first distance when the first daily mask is not worn. When the first daily mask is worn and used, the expiratory strength is transmitted in a first distance and attenuated by air resistance, and the first daily mask is blocked by the first daily mask to attenuate, so that the filtering expiratory strength is obtained, wherein the only variable between the self-attenuating expiratory strength and the filtering expiratory strength is whether the first daily mask is worn or not, and therefore the strength attenuation parameter of the first daily mask to the expiratory strength can be obtained through machine learning according to the self-attenuating expiratory strength and the filtering expiratory strength.
Wherein, the in-process of machine learning has adopted the multiunit training data to study, and every group training data all includes the identification information who exhales the dynamics from the decay, filters exhale dynamics and dynamics decay parameter, through the contact of a large amount of training data for can obtain the dynamics decay parameter of the daily gauze mask of different kinds and different use degree. The embodiment of the mask body can output accurate strength attenuation parameters through machine learning, and then the first air permeability detection result is adjusted through the strength attenuation parameters, so that the technical effect of more accurately judging the air permeability of the first daily mask is achieved.
As shown in fig. 4, the method provided in the embodiment of the present application further includes step S1000, where step S1000 includes:
s1010: acquiring first image information according to the image acquisition device;
s1020: performing feature extraction according to the first image information to obtain a feature set of the first image information;
s1030: analyzing the characteristic set to obtain material information of the first daily mask;
s1040: obtaining standard air permeability parameters of the first daily mask according to the material information;
s1050: and correcting the first air permeability detection result of the first daily mask according to the standard air permeability parameter to obtain a third air permeability detection result.
Specifically, the image capturing device may be any device or apparatus capable of capturing an image of the first daily mask in the related art, and the image capturing device may also capture image information of each layer of the multilayer structure for the first daily mask having the multilayer structure. Illustratively, the image acquisition device comprises a plurality of cameras, and can obtain all-angle image information of each position of the first daily mask, and further perform feature extraction on the obtained first image information. The first daily gauze mask of different usage includes different materials, and then can be according to first image information obtains different feature sets, exemplarily, first daily gauze mask is anti-allergic gauze mask, can gather the feature set of the first image information of anti-allergic gauze mask.
Analyzing the collected feature set to obtain material information of the first daily mask, wherein the first daily mask is an anti-allergy mask and is made of sponge, namely the material information of the first daily mask is judged to be sponge according to the collected feature set. And obtaining standard air permeability parameters of the first daily mask according to the material information, wherein the standard air permeability parameters are air permeability parameters of materials corresponding to the material information. The first air permeability detection result of the first daily mask is corrected according to the standard air permeability parameters to obtain a third air permeability detection result, the first air permeability detection result is corrected according to the standard air permeability parameters of the material information of the first daily mask, a more accurate third air permeability detection result can be obtained, and the technical effect of accurately and intelligently detecting the air permeability of the daily mask is achieved.
As shown in fig. 5, step S1020 in the embodiment of the present application includes:
s1021: obtaining a highlight characteristic convolution kernel and a diffuse reflection characteristic convolution kernel;
s1022: performing traversal feature extraction on the highlight feature convolution kernel and the diffuse reflection feature convolution kernel on the first image information to obtain a first highlight feature and a first diffuse reflection feature;
s1023: obtaining a feature set of the first image information based on the first highlight feature and the first diffuse reflection feature.
Specifically, the feature set of the first image information includes a plurality of image features, and illustratively, the feature set includes: highlight features, diffuse reflection features, etc., which can characterize what material information the first image information corresponds to. And traversing feature extraction is carried out on all objects in the first image information by obtaining the highlight feature convolution kernel and the diffuse reflection feature convolution kernel, all highlight feature convolution kernels and diffuse reflection feature convolution kernels in the first image information are extracted, and the material information corresponding to the first image information can be determined according to the distribution, the quantity and the like of the highlight feature convolution kernels and the diffuse reflection feature convolution kernels in the first image information, so that the material information of the first daily mask is obtained. According to the embodiment of the application, all the highlight characteristic convolution kernels and all the diffuse reflection characteristic convolution kernels in the first image information are extracted in a traversing mode, the characteristic set in the first image information can be accurately extracted, the material information of the first daily mask corresponding to the first image information is accurately discriminated, the purpose that the standard air permeability parameters correct the first air permeability detection result is achieved, and the air permeability of the daily mask is accurately detected.
As shown in fig. 6, step S1030 in the embodiment of the present application includes:
s1031: training a feature fusion model according to the feature set of the first image information to obtain a daily mask material prediction model;
s1032: and inputting the first highlight characteristic and the first diffuse reflection characteristic into the daily mask material prediction model to obtain material information of the first daily mask.
Specifically, the first image information is the image information of the daily mask made of any material, the first image information further comprises a feature set of the image information of the daily mask made of any material, the feature fusion model is trained by adopting multiple groups of training data, each group of training data comprises the feature set in the first image information and identification information of the material information corresponding to the feature set, the feature fusion model can be continuously corrected by self, when the output information of the feature fusion model reaches a preset accuracy rate/convergence state, the training is finished, and at the moment, the feature fusion model can output accurate ground material information. Inputting the feature set in the first image information of the daily mask needing to be subjected to air permeability detection into the feature fusion model, and outputting material information corresponding to the feature set by the model. The embodiment of the application obtains the feature fusion model through the feature set training that adopts first image information, makes the material information of feature fusion model output more accurate, has reached the accurate material information that obtains, improves daily gauze mask gas permeability and detects intelligent technological effect.
As shown in fig. 7, the method provided in the embodiment of the present application further includes step S1100, where step S1100 includes:
s1110: obtaining a predetermined humidity difference threshold;
s1120: determining whether the data in the first set of humidity differences is completely within the predetermined humidity difference threshold;
s1130: deleting data that does not fall within the predetermined humidity difference threshold if the data in the first set of humidity differences is not completely within the predetermined humidity difference threshold.
Specifically, the predetermined humidity difference threshold is obtained based on big data or experiments, and under the condition that the ambient humidity is standard and constant, the humidity difference value of the wearing surface and the isolation surface of the daily mask is obtained after a human body wears the daily mask to normally breathe or move for a period of time. The predetermined humidity difference threshold is a range within which the humidity difference between the wearing surface and the isolation surface is mainly due to the humidity difference caused by human breathing. Determining whether the data in the first humidity difference set is completely within the predetermined humidity difference threshold, and if the data in the first humidity difference set is not within the predetermined humidity difference threshold, it may indicate that the humidity difference data is abnormal, for example, in a fog environment, the humidity of the environment is higher, which causes the humidity of the isolation surface of the daily mask to be higher than that of the wearing surface, and influences the detection and judgment of the air permeability of the daily mask, thus, if the data in the first humidity difference set is not fully within the predetermined humidity difference threshold, deleting data that does not fall within the predetermined humidity difference threshold, retaining humidity difference data that falls within the predetermined humidity difference threshold, keep normal data promptly, can effectively guarantee to detect the accuracy of judging daily gauze mask gas permeability through the humidity difference, avoid because other uncertain factor influence data, and then influence the measuring to daily gauze mask gas permeability.
To sum up, this application embodiment obtains first difference in temperature set through carrying out temperature detection to the wearing face and the isolation surface of daily gauze mask to carry out humidity detection to the wearing face and the isolation surface of daily gauze mask and obtain first difference in humidity set, carry out curve fitting and input daily gauze mask gas permeability detection model through first difference in temperature set and first difference in humidity set, obtain the gas permeability testing result of gauze mask. And then, a strength attenuation parameter is obtained by detecting the expiratory strength difference between the wearing surface and the isolation surface of the daily mask, the air permeability detection result is adjusted, a standard air permeability parameter is obtained by detecting the material information of the daily mask, and the air permeability detection result is adjusted. The embodiment of the application carries out the detection of a plurality of parameters respectively through wearing face and the isolation face to the gauze mask, can effectively synthesize the temperature difference, the humidity is poor, the expiratory dynamics is poor and the influence of gauze mask material to the gauze mask gas permeability to establish the method of quantization detection daily gauze mask gas permeability, replaced the method of traditional human subjective impression daily gauze mask gas permeability, can avoid the relatively poor problem that influences user and use experience of gauze mask gas permeability to take place limitedly, reached the accurate and technical effect who detects daily gauze mask gas permeability high-efficiently.
Example two
Based on the same inventive concept as the daily mask air permeability detection method in the previous embodiment, as shown in fig. 8, the present embodiment provides a daily mask air permeability detection device, wherein the device comprises:
a first obtaining unit 11 for obtaining a first set of temperatures of a wearing surface of a first daily mask for a first predetermined period of time by a first temperature sensor;
a second obtaining unit 12, wherein the second obtaining unit 12 is configured to obtain a second temperature set of the isolation surface of the first daily mask in the first predetermined period of time through a second temperature sensor;
a first processing unit 13, wherein the first processing unit 13 is configured to obtain a first temperature difference set according to the first temperature set and the second temperature set;
a third obtaining unit 14, wherein the third obtaining unit 14 is configured to obtain, by a first humidity sensor, a first humidity set of the wearing surface of the first daily mask for the first predetermined period of time;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to obtain, by a second humidity sensor, a second humidity set of the isolation surface of the first daily mask at the first predetermined period;
a second processing unit 16, said second processing unit 16 being configured to obtain a first set of humidity differences from said first set of humidities and said second set of humidities;
a third processing unit 17, where the third processing unit 17 is configured to perform curve fitting on the first temperature difference set and the first humidity difference set to obtain a fitting feature set;
a fifth obtaining unit 18, where the fifth obtaining unit 18 is configured to input the fitted feature set into the daily mask air permeability detection model, so as to obtain a first air permeability detection result.
Further, the apparatus further comprises:
a sixth obtaining unit for obtaining an initial expiratory force by the first force sensor;
a seventh obtaining unit for obtaining the filtered expiratory force through a second force sensor;
a fourth processing unit, configured to obtain a force attenuation parameter according to the initial expiratory force and the filtered expiratory force;
and the fifth processing unit is used for adjusting the first air permeability detection result according to the force attenuation parameter to obtain a second air permeability detection result.
Further, the apparatus further comprises:
an eighth obtaining unit for obtaining a first collecting position of the first force sensor;
a ninth obtaining unit for obtaining a second collecting position of the second force sensor;
a tenth obtaining unit, configured to obtain a first distance according to the first acquisition position and the second acquisition position;
a sixth processing unit for obtaining a self-attenuating expiratory force from the initial expiratory force and the first distance;
a seventh processing unit to obtain the force attenuation parameter by machine learning from the self-attenuating expiratory force and the filtered expiratory force.
Further, the apparatus further comprises:
an eleventh obtaining unit, configured to obtain first image information according to the image acquisition device;
a twelfth obtaining unit, configured to perform feature extraction according to the first image information, and obtain a feature set of the first image information;
an eighth processing unit, configured to analyze the feature set to obtain material information of the first daily mask;
a thirteenth obtaining unit for obtaining a standard air permeability parameter of the first daily mask according to the material information;
and the ninth processing unit is used for correcting the first air permeability detection result of the first daily mask according to the standard air permeability parameter to obtain a third air permeability detection result.
Further, the apparatus further comprises:
a fourteenth obtaining unit, configured to obtain a highlight feature convolution kernel and a diffuse reflection feature convolution kernel;
a tenth processing unit, configured to perform traversal feature extraction on the highlight feature convolution kernel and the diffuse reflection convolution feature kernel on the first image information to obtain a first highlight feature and a first diffuse reflection feature;
a fifteenth obtaining unit configured to obtain a feature set of the first image information based on the first highlight feature and the first diffuse reflection feature.
Further, the apparatus further comprises:
an eleventh processing unit, configured to train a feature fusion model according to the feature set of the first image information, to obtain a daily mask material prediction model;
a sixteenth obtaining unit, configured to input the first highlight feature and the first diffuse reflection feature into the daily mask material prediction model, and obtain material information of the first daily mask.
Further, the apparatus further comprises:
a seventeenth obtaining unit configured to obtain a predetermined humidity difference threshold;
a first determination unit for determining whether the data in the first set of humidity differences is completely within the predetermined humidity difference threshold;
a twelfth processing unit for deleting data that does not fall within the predetermined humidity difference threshold if the data in the first humidity difference set is not completely within the predetermined humidity difference threshold.
The electronic device of the embodiment of the present application is described below with reference to figure 9,
based on the same inventive concept as the method for detecting the air permeability of the daily mask in the previous embodiment, the embodiment of the application also provides a device for detecting the air permeability of the daily mask, which comprises the following steps: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes an apparatus to perform the steps of a method of embodiment one.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), wired access network, and the like.
The memory 301 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disc read-only memory (compact disc)
read-only memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer executed instructions stored in the memory 301, so as to implement the method for detecting the air permeability of the daily mask provided by the above embodiments of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
The embodiment of the application obtains first difference in temperature set through carrying out temperature detection to the wearing face and the isolation surface of daily gauze mask to carry out humidity detection through the wearing face and the isolation surface to the daily gauze mask and obtain first difference in humidity set, carry out curve fitting and input daily gauze mask gas permeability detection model through first difference in temperature set and first difference in humidity set, obtain the gas permeability testing result of gauze mask. And then, a strength attenuation parameter is obtained by detecting the expiratory strength difference between the wearing surface and the isolation surface of the daily mask, the air permeability detection result is adjusted, a standard air permeability parameter is obtained by detecting the material information of the daily mask, and the air permeability detection result is adjusted. The embodiment of the application carries out the detection of a plurality of parameters respectively through wearing face and the isolation face to the gauze mask, can effectively synthesize the temperature difference, the humidity is poor, the expiratory dynamics is poor and the influence of gauze mask material to the gauze mask gas permeability to establish the method of quantization detection daily gauze mask gas permeability, replaced the method of traditional human subjective impression daily gauze mask gas permeability, can avoid the relatively poor problem that influences user and use experience of gauze mask gas permeability to take place limitedly, reached the accurate and technical effect who detects daily gauze mask gas permeability high-efficiently.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer finger
The instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, where the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.
Claims (9)
1. A daily mask air permeability detection method is applied to a daily mask air permeability detection device, the device comprises a dual temperature sensor and a dual humidity sensor, and the method comprises the following steps:
obtaining a first temperature set of a wearing face of a first daily mask in a first preset time period through a first temperature sensor;
obtaining a second temperature set of the isolation surface of the first daily mask in the first predetermined period of time through a second temperature sensor;
obtaining a first temperature difference set according to the first temperature set and the second temperature set;
obtaining a first humidity set of a wearing surface of the first daily mask in the first preset time period through a first humidity sensor;
obtaining a second humidity set of the isolation surface of the first daily mask in the first predetermined period of time through a second humidity sensor;
obtaining a first humidity difference set according to the first humidity set and the second humidity set;
performing curve fitting on the first temperature difference set and the first humidity difference set to obtain a fitting characteristic set;
and inputting the fitting feature set into a daily mask air permeability detection model to obtain a first air permeability detection result.
2. The method of claim 1, wherein the device further comprises a dual force sensor, the method further comprising:
obtaining an initial expiratory force through a first force sensor;
obtaining filtered expiratory force through a second force sensor;
obtaining a strength attenuation parameter according to the initial expiratory strength and the filtered expiratory strength;
and adjusting the first air permeability detection result according to the force attenuation parameter to obtain a second air permeability detection result.
3. The method of claim 2, wherein said obtaining a force attenuation parameter from said initial expiratory force, said filtered expiratory force, further comprises:
obtaining a first capture location of the first force sensor;
obtaining a second acquisition location of the second force sensor;
obtaining a first distance according to the first acquisition position and the second acquisition position;
obtaining a self-attenuating expiratory force according to the initial expiratory force and the first distance;
and obtaining the strength attenuation parameter through machine learning according to the self-attenuation expiratory strength and the filtering expiratory strength.
4. The method of claim 1, wherein the device further comprises an image acquisition device, the method further comprising:
acquiring first image information according to the image acquisition device;
performing feature extraction according to the first image information to obtain a feature set of the first image information;
analyzing the characteristic set to obtain material information of the first daily mask;
obtaining standard air permeability parameters of the first daily mask according to the material information;
and correcting the first air permeability detection result of the first daily mask according to the standard air permeability parameter to obtain a third air permeability detection result.
5. The method of claim 4, wherein the performing feature extraction according to the first image information to obtain a feature set of the first image information comprises:
obtaining a highlight characteristic convolution kernel and a diffuse reflection characteristic convolution kernel;
performing traversal feature extraction on the highlight feature convolution kernel and the diffuse reflection convolution feature kernel on the first image information to obtain a first highlight feature and a first diffuse reflection feature;
obtaining a feature set of the first image information based on the first highlight feature and the first diffuse reflection feature.
6. The method of claim 5, wherein said analyzing said feature set to obtain material information of said first day mask comprises:
training a feature fusion model according to the feature set of the first image information to obtain a daily mask material prediction model;
and inputting the first highlight characteristic and the first diffuse reflection characteristic into the daily mask material prediction model to obtain material information of the first daily mask.
7. The method of claim 1, wherein the method further comprises:
obtaining a predetermined humidity difference threshold;
determining whether the data in the first set of humidity differences is completely within the predetermined humidity difference threshold;
deleting data that does not fall within the predetermined humidity difference threshold if the data in the first set of humidity differences is not completely within the predetermined humidity difference threshold.
8. A daily mask air permeability detection device, wherein the device comprises:
a first obtaining unit for obtaining a first set of temperatures of a wearing face of a first daily mask for a first predetermined period of time by a first temperature sensor;
a second obtaining unit, configured to obtain, by a second temperature sensor, a second temperature set of the isolation surface of the first daily mask at the first predetermined period;
a first processing unit, configured to obtain a first temperature difference set according to the first temperature set and the second temperature set;
a third obtaining unit configured to obtain, by a first humidity sensor, a first humidity set of a wearing surface of the first daily mask for the first predetermined period of time;
a fourth obtaining unit, configured to obtain, by a second humidity sensor, a second humidity set of the isolation surface of the first daily mask for the first predetermined period of time;
a second processing unit, configured to obtain a first humidity difference set according to the first humidity set and the second humidity set;
the third processing unit is used for performing curve fitting on the first temperature difference set and the first humidity difference set to obtain a fitting characteristic set;
and the fifth obtaining unit is used for inputting the fitting feature set into the daily mask air permeability detection model to obtain a first air permeability detection result.
9. A daily gauze mask gas permeability detection device includes: a processor coupled to a memory for storing a program that, when executed by the processor, causes an apparatus to perform the steps of the method of any of claims 1 to 7.
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