CN110069022B - Method for predicting allergen content beyond target and biomedical electronic device - Google Patents

Method for predicting allergen content beyond target and biomedical electronic device Download PDF

Info

Publication number
CN110069022B
CN110069022B CN201810059680.2A CN201810059680A CN110069022B CN 110069022 B CN110069022 B CN 110069022B CN 201810059680 A CN201810059680 A CN 201810059680A CN 110069022 B CN110069022 B CN 110069022B
Authority
CN
China
Prior art keywords
current
allergen
concentration
test
slope
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.)
Expired - Fee Related
Application number
CN201810059680.2A
Other languages
Chinese (zh)
Other versions
CN110069022A (en
Inventor
林宗其
黄裕翔
史德智
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.)
Foshan Daphne Home Decoration Co ltd
Original Assignee
Foshan Daphne Home Decoration 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 Foshan Daphne Home Decoration Co ltd filed Critical Foshan Daphne Home Decoration Co ltd
Priority to CN201810059680.2A priority Critical patent/CN110069022B/en
Publication of CN110069022A publication Critical patent/CN110069022A/en
Application granted granted Critical
Publication of CN110069022B publication Critical patent/CN110069022B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/01Arrangements or apparatus for facilitating the optical investigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6402Atomic fluorescence; Laser induced fluorescence
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6486Measuring fluorescence of biological material, e.g. DNA, RNA, cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/78Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428Safety, monitoring
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/26Pc applications
    • G05B2219/2656Instrumentation

Abstract

The invention relates to a method for predicting allergen content with over-target and a biomedical electronic device, which samples allergen on a test strip; detecting the concentration of the allergen and the external environment condition at present; analyzing the detected information; and the result after calculation and analysis is used for predicting when the allergen on the object (such as a quilt cover, a pillowcase, a sheet or cloth bedding) exceeds the standard, and actively advising and reminding the user when the object is cleaned.

Description

Method for predicting allergen content beyond target and biomedical electronic device
Technical Field
The invention relates to a method for predicting allergen content and a biomedical electronic device, in particular to a method for predicting allergen content with a higher target and a biomedical electronic device, wherein the allergen is generated by microorganisms (such as dust mites, bacteria or viruses) breeding on an object (such as a quilt cover, a pillowcase, a bed sheet or cloth material and the like).
Background
The investigation proves that the microorganism (such as dust mite, bacteria, virus, etc.) is a very strong allergen and is easy to cause a plurality of allergic diseases. Taking dust mites as an example, the excreta, bodies and eggs of the dust mites are all the allergens, and the excreta, bodies and eggs as the allergens are all diffused in the air. In a general household environment, dust mites are most likely to breed in a quilt cover, a pillowcase, a sheet, some cloth bedding, or other objects, so that excrement, worms and eggs of the dust mites are scattered around the quilt cover, the pillowcase, or a mattress, and allergic diseases such as allergic rhinitis, asthma, ocular allergy, atopic dermatitis, urticaria, etc. are easily caused.
In the prior art, water washing is the most effective means for removing microorganisms, and some users can regularly wash places where microorganisms are easy to grow, for example, the users wash bedding once every two worries. For example: taiwan patent No. M541725 describes that an image of a substrate with attached dust mites is captured by an image capturing device, and then the number of dust mites on the substrate is counted by an algorithm, so that a user can determine the time for cleaning bedding. For example, taiwan patent application No. M443857 and chinese patent application publication No. CN105021230 describe that the temperature, humidity and various microbial contamination (such as mold, dust mite, etc.) of the external environment are continuously sensed by the sensor to send the detection value to the control unit, and the control unit continuously monitors the quality of the external environment according to the received detection value to avoid health effects.
However, the growth rate of the microorganisms is not always the result of the allergy caused by the climate change. The user is unaware of the rate of microbial growth in bedding and has no way to predict through the above-described prior art how much time remains to clean the area where the microbes grow under the current environmental conditions. Therefore, if the user can be actively advised and reminded when to wash bedding in the future, the environmental management can be effectively performed, and the user is prevented from being exposed to the environment full of excessive allergens.
Disclosure of Invention
The problems to be solved by the invention are:
in the case of the prior art, the growth rate of the allergens produced by the microorganisms is not always constant due to climatic changes. In addition, the user is unaware of the rate of microbial growth in bedding and the user has no way to predict when the wash will be in the future through the prior art described above. Therefore, the present invention provides an innovative way to predict allergen content by detecting the current environmental conditions and using a mathematical formula to predict when the allergen concentration on an object (such as a quilt cover, pillow cover, sheet, cloth bedding, or other object prone to develop microorganisms) reaches a maximum tolerable concentration, so as to inform the user when the cleaning should be performed.
The technical means for solving the problems are as follows:
the present invention provides a method for predicting whether the content of an allergen exceeds a target, which predicts whether the allergen on an object exceeds the target according to the current temperature, the current humidity and the current concentration of the allergen. The allergen sampling method is to sample the allergen on the object or sample the allergen in the surrounding environment of the object by a test strip, and detect the sampled allergen to generate the current allergen concentration. In addition, there are many ways to generate the current temperature, current humidity and current allergen concentration. For example, the temperature, humidity and current allergen concentration of the surrounding environment are detected multiple times within a detection time interval. Then, averaging the temperatures or selecting one of the temperatures as a current temperature, averaging the humidities or selecting one of the humidities as a current humidity, averaging the allergen concentrations or selecting one of the allergen concentrations as a current allergen concentration, thereby obtaining more accurate current temperature, current humidity and current allergen concentration.
Furthermore, the method establishes a test table in advance, and the test table has a plurality of test slope functions for predicting when the current allergen concentration reaches the highest tolerance concentration. In the test table, each test slope function is a correlation function at a plurality of temperatures and a plurality of humidities. Each test slope function is in an exponential function increment with the corresponding temperature and is in direct proportion with the corresponding humidity.
Then, the method further selects a corresponding test slope function from the test table according to the detected current allergen concentration, and then substitutes the current temperature and the current humidity into the selected slope test function to generate a prediction slope; finally, the method calculates a prediction residual time through a calculation formula associated with the highest tolerance concentration, the current allergen concentration and the prediction slope, so as to provide the time for the user to obtain the time when the current allergen concentration reaches the highest tolerance concentration under the current temperature and the current humidity, and further know when the cleaning is performed.
Besides, the method is applied to a biomedical electronic device. The biomedical electronic device comprises a support plate, a body, a sensor module, a storage assembly and a processor. The carrier plate is provided with a test strip for sampling allergen. The body is internally provided with a sensor module, a storage component and a processor, and the sensor module, the storage component and the processor are used for detecting the current environmental conditions (such as the current temperature, the current humidity and the current allergen concentration) and predicting the time when the allergen concentration on the object reaches the highest tolerance concentration through data in a test table so as to inform a user when the cleaning is carried out.
In addition, the body is provided with a through hole and can be arranged on the upper surface, the lower surface or the side surface of the body, so that the test strip can sample the allergen through the through hole. The body may further have a fixing member for fixing to an object to facilitate sampling of the allergen on the object.
Furthermore, the biomedical electronic device can further execute an alarm (such as an LED lamp or a sound) when the time required for cleaning arrives, so as to inform the user that the cleaning is needed. The biomedical electronic device may also have a display for displaying the current environmental conditions (such as the current temperature, the current humidity, and the current allergen concentration).
Furthermore, the sensor module may have a function of setting time, such as detecting the current environmental condition at regular time each day, to determine when the user should wash. The biomedical electronic device can also have a reset button and a display button. When the user presses the reset button, the biomedical electronic device resets various functions (such as time measured at regular time, various items for detecting the current environmental condition, and a test slope function in a test table) to avoid calculating inaccurate prediction residual time. When the user presses the display button, the biomedical electronic device generates a prediction residual time again to predict in real time when the concentration of the microorganisms will exceed the standard (i.e. when the highest tolerated concentration is reached).
Efficacy against the prior art:
the method further predicts when the allergen on an object (such as a quilt cover, a pillow cover, a sheet, cloth bedding, or other object prone to microorganism growth) is out of tolerance based on the current environmental conditions detected in the prior art, and informs the user when to wash in the future. Furthermore, when the present method detects a current allergen concentration, the present method predicts a different predicted residual time (i.e. the time when the current allergen concentration reaches the highest tolerated concentration) due to the different temperatures and different humidities currently detected. For example, in the case where the same allergen concentration is detected by the method, if the current temperature is low and the current humidity is low, the predicted residual time is long. If the current temperature is high and the current humidity is high, the predicted residual time is short. The method has the following benefits:
a. actively predicting the cleaning time: the prior art can not assist the user to predict when the user should wash cloth bedding which is easy to have allergen, and the method and the used biomedical electronic device can actively inform the user of the time when the user should wash cloth bedding in the future so that the user can know the time of washing in advance.
b. More accurate prediction of future wash time: the method especially considers the factors that the allergen-producing microorganisms have different growth rates due to different environmental conditions (such as different temperature and different humidity), and predicts more accurate cleaning time according to the current environmental conditions.
By comprehensively considering the two technical characteristics, the method for predicting the allergen content ultra-target has the advantages and characteristics of actively predicting the cleaning time, predicting more accurate future cleaning time and the like.
For a better understanding of the nature and technical content of the present invention, reference should be made to the following detailed description of the invention, taken in conjunction with the accompanying drawings, which are set forth to illustrate, but are not to be construed to limit the scope of the invention.
Drawings
FIG. 1 is a flowchart of a method for predicting allergen content hyper-targeting according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating the calculation of predicted residual time using a test table according to an embodiment of the present invention.
Fig. 3 is a schematic view of the biomedical electronic device provided by the embodiment of the invention arranged on a quilt.
FIG. 4 is a perspective view of a biomedical electronic device according to an embodiment of the present invention.
FIG. 5 is a rear view of a biomedical electronic device provided in accordance with an embodiment of the present invention.
FIG. 6 is a block diagram of a biomedical electronic device according to an embodiment of the present invention.
Detailed Description
Hereinafter, the present invention will be described in detail by way of illustration of the drawings and various exemplary embodiments of the invention. The inventive concept may, however, be embodied in many different forms and should not be construed as limited to the exemplary embodiments set forth herein. Moreover, in the drawings, like reference numerals may be used to designate similar components.
The method for predicting allergen content hyper-target according to the embodiment of the invention is suitable for a biomedical electronic device, and is used for predicting when the allergen on an object (such as a quilt cover, a pillowcase, a sheet, cloth bedding or other objects easy to breed microorganisms) exceeds the standard (namely, when the allergen reaches a highest tolerance concentration), and actively advising and reminding a user when the cleaning object is reached so as to avoid the user from being exposed to the environment full of microorganism allergens. As shown in FIG. 1, the method of the present invention comprises the steps of sampling the allergen on the test strip, detecting the concentration of the allergen and the external environment, analyzing the detected information, and calculating the result of the analysis to predict the future cleaning time. The flow of the steps is as follows:
step S101: the allergen is sampled by a test strip.
In this step, the sampling is performed by sampling the allergen on the object or by sampling the allergen in the surrounding environment of the object.
Step S103: and detecting the current allergen concentration, the current temperature and the current humidity of the surrounding environment on the detection test piece.
In this step, the process of detecting the concentration of the allergen at present is to generate the result after sampling by an operation inside a microbial sensor. In this embodiment, the method for detecting the allergen concentration at present first detects the test strip multiple times in a detection time interval to generate multiple allergen concentrations. Then, the allergen concentrations are averaged to generate the current allergen concentration, or one of the allergen concentrations is selected as the current allergen concentration. The method for selecting one of the allergen concentrations may be to select the allergen concentration at an intermediate value, which is not limited by the present invention.
Furthermore, the process of detecting the current temperature and the current humidity is generated by the operation of the sampled result in a temperature and humidity sensor. In the present embodiment, the present temperature detecting method first detects the temperature of the ambient environment for a plurality of times in a detection time interval to generate a plurality of ambient temperatures. Then, the ambient temperatures are averaged to generate a current temperature, or one of the ambient temperatures is selected as the current temperature. The method of selecting one of the ambient temperatures may be to select the ambient temperature at an intermediate value, which is not limited by the present invention. Similarly, the current humidity detection method is substantially similar to the current temperature detection method, and therefore, the description thereof is omitted here.
Step S105: one of the test slope functions corresponding to the current allergen concentration is selected from a plurality of test slope functions in a test table, and the current temperature and the current humidity are substituted into the selected slope test function to generate a predicted slope.
In this step, the test form is completed before the method is performed and stored in a storage component in the biomedical electronic device. Each test slope function in the test table is a function of a plurality of temperatures associated with a plurality of humidities. Taking the test table TAB1 of fig. 2 as an example, the test table TAB has two test slope functions S1 and S2. Each test slope function S1-S2 exhibits an exponential function increase with respect to the corresponding temperature, and each test slope function S1-S2 is proportional to the corresponding humidity. The test slope function S1 can be generated by a user calculating breeding rates at different temperatures and different humidities in advance within an interval of allergen concentration, and finding the corresponding relationship between the breeding rates by a mathematical equation to generate the correlation function of the test slope function S1. Similarly, the manufacturing method of the test slope function S2 is substantially the same as the manufacturing method of the test slope function S1, and therefore, the description thereof is omitted here. The mathematical equations can be designed according to practical situations, and are not limited herein.
Thus, as shown in FIG. 2, the test slope function S1 is a correlation function calculated over the interval of 0-200 units of allergen concentration. The test slope function S2 is a correlation function calculated in the interval of 200-600 units of allergen concentration. These test slope functions S1 and S2 are used to predict when the current allergen concentration exceeds the standard (i.e. reaches a maximum tolerated concentration Cmax), and thereby predict the time to exceed the target (i.e. predict the residual time LT). Thus, if the number of test slope functions is larger, it will be possible to divide into intervals of larger allergen concentrations, so that it is more accurate to subsequently predict when an allergen will exceed the target accuracy.
Here, the predicted residual time LT represents a time at which the current allergen concentration is predicted to reach the highest tolerable concentration at the current temperature and the current humidity. The value of the target for the current allergen concentration (i.e. the highest tolerated concentration Cmax) may be set by the user. In the present embodiment, the maximum tolerated concentration Cmax is set to 600 units, which means that the method of the present invention predicts when the maximum tolerated concentration Cmax exceeds 600 units according to the current temperature, the current humidity and the current allergen concentration.
Therefore, in this step, one of the test slope functions (i.e. correlation functions under a plurality of temperatures and a plurality of humidities) corresponding to the current allergen concentration is selected from the test table, and then the current temperature and the current humidity are substituted into the selected slope test function to generate the predicted slope. For example, the current allergen concentration Cp is 400 units, the current temperature Tp is 30 degrees and the current humidity Hp is 45%. Therefore, the current allergen concentration Cp corresponds to a test slope function S2 (i.e. correlation function of multiple temperatures and multiple humidities). Then, the current temperature Tp (═ 30 degrees) and the current humidity Hp (═ 45%) are substituted into the test slope function S2 to generate a predicted slope (e.g., 2) correspondingly. The calculation of the time when the current allergen concentration reaches the highest tolerated concentration by predicting the slope (i.e. the predicted residual time LT) will be described in detail in the next step.
Step S107: the difference between the highest tolerated concentration and the current allergen concentration is divided by the prediction slope to produce a predicted residual time.
Referring to fig. 2, in this step, the predicted residual time LT is calculated according to the following equation:
Figure GDA0003253204260000071
in connection with the above example, the maximum tolerated concentration Cmax is 600 units, the current allergen concentration Cp is 400 units, the current temperature Tp is 30 degrees, the current humidity Hp is 45% and the predicted slope is 2. Therefore, the predicted residual time LT (hour) is (600-400)/2 is 100 hours (about 4.2 days). And the calculated predicted residual time LT represents a time for predicting that the current allergen concentration Cp (400 units) reaches the maximum tolerable concentration Cmax (600 units) at the current temperature Tp (═ 30 degrees) and the current humidity Hp (═ 45%) is 100 hours (about 4.2 days).
In order to make the user know the time of cleaning earlier, the next steps will be to inform the user when the time is close, and the detailed description is as follows.
Step S109: and judging whether the predicted residual time is less than or equal to the warning time.
In this step, the user can set the warning time by himself, for example, the warning time is set by a setting button of the biomedical electronic device or by an external electronic device, which is not limited in the present invention. Therefore, when the predicted residual time is less than or equal to the warning time, it represents that the object (such as quilt cover, pillowcase, sheet, cloth bedding, or other object prone to microorganism growth) needs to be cleaned at present. At this time, step S111 is executed, namely, the biomedical electronic device issues a warning signal. The warning signal can be a light signal, a sound signal or a communication signal, so as to inform the user that the cleaning time is up. On the contrary, when the predicted residual time is greater than the warning time, it represents a time longer than the time required to clean the object. At this time, step S113 is executed, i.e., the mobile terminal enters a standby state and does not operate, and no warning signal is issued to the user.
The structure and implementation of the method set forth in the embodiments of the present invention used in the biomedical electronic device will be further described below. Please refer to fig. 3, which shows a schematic view of the biomedical electronic device provided in the embodiment of the present invention disposed on a quilt. As shown in fig. 3, the biomedical electronic device 100 is disposed on an object 200, and the object 200 may be a quilt, a pillow, a sheet, a cloth bedding, a cloth material, or other objects that are prone to microorganism growth, which is not limited in the present invention. More specifically, the object 200 is detachably clamped between the body 110 of the biomedical electronic device 100 and the fixing member 190, so that the biomedical electronic device 100 can be fixed on the object 200.
Referring to fig. 4, a perspective view of the biomedical electronic device according to the embodiment of the invention is shown. As shown in fig. 4, the biomedical electronic device 100 has a body 110 and a carrier 120. The carrier 120 is provided with a test strip 122. The body 110 has a through hole (not shown in fig. 4) and an accommodating space 112, and the through hole is communicated with the accommodating space 112. The carrier plate 120 is disposed in the accommodating space 112 of the body 110, and the test strip 122 samples the object through the through hole. Referring to fig. 4-5, the body 110 has an upper surface UP, a lower surface DN and a side surface SE. The through hole 118 may be disposed on one of the upper surface UP, the lower surface DN, and the side surface SE of the body 110. Test strip 122 is disposed adjacent to the object through hole 118.
Furthermore, the test strip 122 may or may not contact the object through the through hole 118. As shown in fig. 5, in the present embodiment, the through hole 118 is disposed on the lower surface DN of the body 110, so that the test strip 122 can contact the object through the through hole 118 to sample the allergen on the object, or the test strip 122 does not contact the object to sample the allergen in the surrounding environment of the object.
Please refer to fig. 4 and 6, which show the structural diagrams of the biomedical electronic device according to an embodiment of the present invention. As shown in FIG. 6, the bio-medical electronic device 100 further comprises a sensor module (which includes a micro-organism sensor 130, a temperature and humidity sensor 140, a processor 150, a storage component 160, an alarm 170 and a display 180. the sensor module, the processor 150 and the storage component 160 are all disposed inside the body 110 for detecting, calculating and predicting when the cleaning object is to be cleaned by the user. the alarm 170 and the display 180 are disposed on the body 110 for informing the user when the cleaning object is to be cleaned.
More specifically, the microorganism sensor 130 in the sensor module is disposed opposite to the test strip 122 for detecting the current microorganism concentration Cp of the test strip 122. For example, the microorganism sensor 130 is disposed above or below the test strip 122 to detect the current microorganism concentration Cp. The present microorganism concentration Cp represents the concentration of microorganism metabolites, the number of worm bodies or eggs on the object, such as the concentration of excreta of dust mites, the number of dust mites, the concentration of bacteria or the concentration of viruses, and can also be information as the basis of the allergen, which is not limited in the present invention. However, persons skilled in the art should understand that the method for detecting the current microorganism concentration Cp by the microorganism sensor 130 may be, for example, an optical color-changing method, a fluorescence color-changing method, or a luminescence color-changing method, and thus, the description thereof is omitted here.
Temperature and humidity sensor 140 in the sensor module is used to detect the current temperature Tp and the current humidity Hp of the surrounding environment, so that processor 150 can predict the breeding rate of microorganisms on the object according to the current temperature Tp and the current humidity Hp. In other embodiments, the temperature/humidity sensor 140 may be divided into a temperature sensor and a humidity sensor, which are respectively disposed at suitable positions inside the body 110 according to actual conditions.
The storage component 160 stores the test table TAB described in the previous embodiment for the processor 150 to predict when the current microorganism concentration Cp will reach the highest tolerated concentration. The structure of the test table TAB is described in the previous embodiment, and therefore, is not described herein again.
The processor 150 is coupled to the microorganism sensor 130, the temperature and humidity sensor 140 and the storage component 160. The processor 150 receives the current microorganism concentration Cp, the current temperature Tp, the current humidity Hp and the test table TAB, selects one of the test slope functions corresponding to the current allergen concentration Cp among the plurality of test slope functions S1-S2 of the test table TAB, and substitutes the current temperature Tp and the current humidity Hp into the selected slope test function to generate a prediction slope. The processor 150 then generates a time representing the time for predicting the current allergen concentration Cp to reach the highest tolerable concentration at the current temperature Tp and the current humidity Hp by calculating an equation of the predicted residual time LT. The embodiment of calculating the prediction slope and the embodiment of predicting the residual time by the processor 150 are already described in steps S105 and S107 of the previous embodiment, and therefore are not described herein again.
Referring back to fig. 4 and 6, the processor 150 is coupled to the display 180, and displays the current microorganism concentration Cp detected by the microorganism sensor 130 on the display 180 for the user to view the current microorganism concentration Cp. The user can determine whether to replace the test strip 122 on the carrier 120 according to the current value. In addition, the processor 150 is also coupled to the temperature/humidity sensor 180, and displays the current temperature Tp and the current humidity Hp detected by the temperature/humidity sensor 180 on the display 180 for the user to view the values of the current temperature Tp and the current humidity Hp. The user can determine whether to adjust the temperature and humidity of the environment according to the current value so as to reduce the breeding rate of microorganisms.
Further, the processor 150 is coupled to an alarm 170. When the predicted residual time generated by the processor 150 is less than or equal to a warning time (e.g., one day), the processor 150 controls the alarm 170 to issue a warning signal to actively remind the user of the need to clean the object. In this embodiment, the alarm 170 may emit a warning signal in a sound or light manner, for example, the alarm 170 is a buzzer or a light emitting diode module. On the contrary, when the predicted residual time generated by the processor 150 is greater than the warning time, the processor 150 does not control the alarm 170 to send out the warning signal.
In other embodiments, the biomedical electronic device 100 may further have a reset button RST, as shown in FIG. 4. Reset button RST is coupled to processor 150. When the user presses the reset button RST, the processor 150 receives a reset signal to reset (reset) the functions of the components of the biomedical electronic device 100 (e.g., timing measurements, detecting various items of the current environmental conditions, and testing slope functions in the test table) to avoid calculating inaccurate predicted residual time. In addition, the biomedical electronic device 100 may further have a display button DIS, as shown in fig. 4. The display button DIS is coupled to the processor 150. When the user presses the display button DIS, the processor 150 receives a display signal and generates a prediction residual time again according to the display signal, so as to predict in real time when the concentration of microorganisms will exceed the standard (i.e. when the highest tolerance concentration is reached). The reset signal and the display signal may also be generated by a wireless control method, which is not limited in the present invention.
In summary, the method and the bio-medical electronic device provided by the embodiments of the invention predict when the allergen on the object (such as quilt cover, pillow cover, bed sheet, cloth bedding, or other object prone to develop microorganisms) is out of compliance according to the detected current environmental condition, and inform the user when to clean in the future. Therefore, the method and the biomedical electronic device have the advantages and characteristics of actively predicting the cleaning time, predicting more accurate future cleaning time and the like.
The above description is only for the best embodiment of the present invention, but the present invention is not limited thereto, and any changes or modifications that can be easily made by those skilled in the art within the field of the present invention can be covered in the claims of the present invention.

Claims (9)

1. A method for predicting allergen content exceeding a target, which is suitable for a biomedical electronic device and used for predicting whether an allergen on an object exceeds a standard or not, and the method comprises the following steps:
(A) sampling the allergen by a test strip;
(B) detecting a current allergen concentration, a current temperature and a current humidity of an ambient environment on the test strip;
(C) selecting one of test slope functions corresponding to the current allergen concentration from a plurality of test slope functions in a test table, and substituting the current temperature and the current humidity into the selected test slope function to generate a prediction slope, wherein each test slope function is a correlation function of a plurality of temperatures and a plurality of humidities and is used for predicting when the current allergen concentration reaches a highest tolerable concentration, an exponential function increment is presented between each test slope function and the temperatures, and each test slope function is in direct proportion to the humidities; and
(D) dividing a difference between the maximum tolerated concentration and the current allergen concentration by the prediction slope to generate a prediction residual time, wherein the prediction residual time represents a time at which the current allergen concentration is predicted to reach the maximum tolerated concentration at the current temperature and the current humidity.
2. The method of claim 1, wherein step (a) further comprises:
sampling the allergen on the object or sampling the allergen of the surroundings of the object.
3. The method of claim 1, wherein step (B) further comprises:
detecting the test strip for multiple times in a detection time interval to generate multiple allergen concentrations; and
averaging the allergen concentrations to generate the current allergen concentration, or selecting one of the allergen concentrations as the current allergen concentration.
4. The method of claim 1, wherein step (B) further comprises:
detecting the temperature of the surrounding environment for a plurality of times in a detection time interval to generate a plurality of environment temperatures; and
averaging the ambient temperatures to generate the current temperature, or selecting one of the ambient temperatures as the current temperature.
5. The method of claim 1, wherein step (B) further comprises:
detecting the humidity of the surrounding environment for a plurality of times in a detection time interval to generate a plurality of environmental humidities; and
averaging the environmental humidities to generate the current humidity, or selecting one of the environmental humidities as the current humidity.
6. The method of claim 1, further comprising, after step (D):
judging whether the predicted residual time is less than or equal to a warning time; and
if the predicted residual time is less than or equal to the warning time, a warning signal is sent out, and if the predicted residual time is greater than the warning time, a standby state is entered.
7. An electronic apparatus for predicting whether an allergen on an object exceeds a standard level, the electronic apparatus comprising:
a carrier plate provided with a test piece;
the body is provided with a through hole and an accommodating space, the through hole is communicated with the accommodating space, the carrier plate is arranged in the accommodating space, and the test strip samples the allergen through the through hole;
the sensor module is arranged in the body, detects the current allergen concentration of the detection test piece and detects the current temperature and the current humidity of the surrounding environment;
the storage component is arranged in the body and stores a test table, wherein the test table is provided with a plurality of test slope functions for predicting when the current allergen concentration reaches a highest tolerance concentration, each test slope function is a correlation function of a plurality of temperatures and a plurality of humidities, an exponential function is gradually increased between each test slope function and the temperature, and each test slope function is in direct proportion to the humidity; and
a processor, disposed inside the body, coupled to the sensor module and the storage component, for receiving the current allergen concentration, the current temperature and the current humidity, selecting one of the test slope functions corresponding to the current allergen concentration from the test slope functions of the test table, and substituting the current temperature and the current humidity into the selected test slope function to generate a prediction slope;
the processor divides a difference between the maximum tolerated concentration and the current allergen concentration by the prediction slope to generate a prediction residual time, and the prediction residual time represents a time at which the current allergen concentration is predicted to reach the maximum tolerated concentration at the current temperature and the current humidity.
8. The device of claim 7, wherein the body further comprises an upper surface, a lower surface and a side surface, and the through hole is disposed on one of the upper surface, the lower surface and the side surface.
9. The device of claim 7, wherein the test strip contacts the object through the through hole to sample the allergen on the object, or the test strip does not contact the object to sample the allergen in the surrounding environment of the object.
CN201810059680.2A 2018-01-22 2018-01-22 Method for predicting allergen content beyond target and biomedical electronic device Expired - Fee Related CN110069022B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810059680.2A CN110069022B (en) 2018-01-22 2018-01-22 Method for predicting allergen content beyond target and biomedical electronic device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810059680.2A CN110069022B (en) 2018-01-22 2018-01-22 Method for predicting allergen content beyond target and biomedical electronic device

Publications (2)

Publication Number Publication Date
CN110069022A CN110069022A (en) 2019-07-30
CN110069022B true CN110069022B (en) 2022-02-22

Family

ID=67365101

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810059680.2A Expired - Fee Related CN110069022B (en) 2018-01-22 2018-01-22 Method for predicting allergen content beyond target and biomedical electronic device

Country Status (1)

Country Link
CN (1) CN110069022B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005077140A (en) * 2003-08-28 2005-03-24 Sharp Corp Environment measuring system and environment measuring method
CN101658689A (en) * 2008-08-26 2010-03-03 夏普株式会社 Method for purifying inside of room
CN102768711A (en) * 2012-03-13 2012-11-07 山东省射频识别应用工程技术研究中心有限公司 Microbiological risk assessment method for meat product processing procedure
CN105143435A (en) * 2013-02-28 2015-12-09 远程医疗零距离公司 Diagnostic device for evaluating microbial content of a sample
CN105930936A (en) * 2016-05-04 2016-09-07 山东省标准化研究院 Growth prediction method of microorganisms included in food in production circulation process
CN107077776A (en) * 2014-09-08 2017-08-18 里欧公司 Environment monitoring device and method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005077140A (en) * 2003-08-28 2005-03-24 Sharp Corp Environment measuring system and environment measuring method
CN101658689A (en) * 2008-08-26 2010-03-03 夏普株式会社 Method for purifying inside of room
CN102768711A (en) * 2012-03-13 2012-11-07 山东省射频识别应用工程技术研究中心有限公司 Microbiological risk assessment method for meat product processing procedure
CN105143435A (en) * 2013-02-28 2015-12-09 远程医疗零距离公司 Diagnostic device for evaluating microbial content of a sample
CN107077776A (en) * 2014-09-08 2017-08-18 里欧公司 Environment monitoring device and method
CN105930936A (en) * 2016-05-04 2016-09-07 山东省标准化研究院 Growth prediction method of microorganisms included in food in production circulation process

Also Published As

Publication number Publication date
CN110069022A (en) 2019-07-30

Similar Documents

Publication Publication Date Title
CN106457115B (en) Air purifier, the method for determining the filter replacement time and the device and method for determining filter replacement time pressure difference
KR101402466B1 (en) An environmental monitoring apparatus and method thereof
JP2018532440A5 (en)
CN110730818A (en) Incubator, system and method for monitored cell growth
US8907901B2 (en) Motion sensor data processing and interface and method thereof
CN111613009A (en) Indoor dangerous heat source prediction alarm method and device based on infrared thermal imaging
JP6046116B2 (en) Analytical monitoring system and monitoring method
CN110069022B (en) Method for predicting allergen content beyond target and biomedical electronic device
Castaneda et al. Measurement error in heat tolerance assays
US20190062689A1 (en) Culture monitoring system, control method, and computer-readable medium
US8044811B2 (en) Sensing device and method
CN110914671B (en) Method, apparatus and computer program product for controlling components of a detection device
US10959398B1 (en) Experimental animal behavioral research methods and apparatuses
US20120057782A1 (en) Method and apparatus for testing water quality using a cell-phone application, mirror and plastic bag
TWI649562B (en) Biomedical electronic apparatus for predicting allergen content over standard
US20150233848A1 (en) Electronic indicator device for cleaning monitoring
JP2019115266A (en) Observation system, observation apparatus, and temperature control method
JP2011193843A (en) Field crop information management system
JP6863154B2 (en) Dry weight estimation program, dry weight estimation method and dry weight estimation device
JP4965316B2 (en) Data collection device
TWM561792U (en) Prediction device for microorganism contamination degree
Choi et al. Automated farm management embedded system using Internet of Things
US10596198B1 (en) Devices for selectively releasing volatile compounds
EP3401673A1 (en) Device and method for determining meat freshness
US20230200718A1 (en) Inflammatory response test kit

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
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20220222