CN111657726A - Intelligent chopsticks for diabetics - Google Patents
Intelligent chopsticks for diabetics Download PDFInfo
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- CN111657726A CN111657726A CN202010416639.3A CN202010416639A CN111657726A CN 111657726 A CN111657726 A CN 111657726A CN 202010416639 A CN202010416639 A CN 202010416639A CN 111657726 A CN111657726 A CN 111657726A
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47G—HOUSEHOLD OR TABLE EQUIPMENT
- A47G21/00—Table-ware
- A47G21/10—Sugar tongs; Asparagus tongs; Other food tongs
- A47G21/103—Chop-sticks
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/66—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving blood sugars, e.g. galactose
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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Abstract
The invention belongs to the technical field of intelligent chopsticks and discloses an intelligent chopstick for diabetics. This intelligence chopsticks includes: the intelligent chopsticks are internally provided with metal movable balls and used for impacting the quantity detection module when the diabetic eats so as to enable the quantity detection module to record the impact times of the metal movable balls; the method comprises the following steps that a glucose concentration detection module obtains an initial glucose concentration value of a diabetic patient and sends the initial glucose concentration value to a quantity detection module; the quantity detection module determines the current eating time according to the initial glucose concentration value, counts the effective impact times in the current eating time, and sends the effective impact times to the glucose concentration display module; the glucose concentration display module displays preset early warning prompt information according to the effective impact times so as to prompt the diabetic patients to eat normally or need to control food. By the method, the diet condition of the diabetic can be effectively controlled, so that effective diet monitoring is provided for treating the diabetic.
Description
Technical Field
The invention relates to the technical field of intelligent chopsticks, in particular to intelligent chopsticks for diabetics.
Background
In recent years, with improvement of living standards, the incidence rate of diabetes has been increasing year by year, the onset age has become younger, and the incidence rate of diabetes is on the increasing trend globally. Diabetes mellitus and its chronic complications, such as macroangiopathy, microangiopathy, neuropathy, etc., impose a heavy burden on patients, families and society. The most fundamental method for controlling the blood sugar of the diabetes patients is to effectively control the diet of the diabetes patients. Therefore, it is highly desirable to provide intelligent chopsticks capable of monitoring the diet of diabetic patients, so as to effectively control the diet of diabetic patients.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide intelligent chopsticks for diabetics and aims to solve the technical problem of how to effectively control the diets of the diabetics.
In order to achieve the above objects, the present invention provides intelligent chopsticks for diabetics, comprising: the device comprises a glucose concentration detection module, a quantity detection module and a glucose concentration display module;
a metal movable ball body is arranged in the intelligent chopsticks and used for impacting the quantity detection module when the diabetic eats, so that the quantity detection module records the impacting times of the metal movable ball body;
the glucose concentration detection module is used for acquiring an initial glucose concentration value of the diabetic patient and sending the initial glucose concentration value to the quantity detection module;
the quantity detection module is used for determining the current eating duration according to the initial glucose concentration value and counting the effective impact times of the metal movable ball in the current eating duration;
the quantity detection module is also used for sending the effective impact times to the glucose concentration display module;
and the glucose concentration display module is used for displaying preset early warning prompt information according to the effective impact times so as to prompt the diabetic patient to eat normally or to control food.
Preferably, the number detection module is further configured to obtain the number of times of impact corresponding to the metal movable sphere within the current eating duration;
the quantity detection module is further used for screening the impact times according to the saliva contact information of the diabetic patient and determining effective impact times according to a screening result.
Preferably, the preset early warning prompt information comprises primary early warning prompt information;
the glucose concentration display module is also used for judging whether the effective impact frequency is smaller than a preset impact threshold value;
the glucose concentration display module is further used for displaying the first-level early warning prompt information when the effective impact frequency is smaller than the preset impact threshold value so as to prompt the diabetic patient to eat normally.
Preferably, the glucose concentration display module is further configured to send the primary early warning prompt information to the glucose concentration detection module;
and the glucose concentration detection module is also used for detecting the prompt information of the primary early warning prompt information.
Preferably, the glucose concentration detection module is further configured to obtain a current glucose concentration value of the diabetic patient according to the primary early warning prompt information, and calculate a glucose concentration difference value according to the initial glucose concentration value and the current glucose concentration value;
the glucose concentration detection module is further used for judging whether the glucose concentration difference value is within a preset normal concentration difference value threshold range or not, and sending a judgment result to the glucose concentration display module so that the glucose concentration display module can carry out prompt information detection on the primary early warning prompt information.
Preferably, the glucose concentration detection module is further configured to send the concentration difference determination result to the glucose concentration display module when the glucose concentration difference is within the preset normal concentration difference threshold range, so that the glucose concentration display module keeps the primary early warning prompt information unchanged.
Preferably, the preset early warning prompt information further comprises secondary early warning prompt information;
the glucose concentration display module is further used for displaying the secondary early warning prompt information when the effective impact frequency is larger than or equal to the preset impact threshold value so as to prompt the diabetic patient to control food.
Preferably, the glucose concentration display module is further configured to send the secondary early warning prompt information to the glucose concentration detection module;
and the glucose concentration detection module is also used for detecting the prompt information of the secondary early warning prompt information.
Preferably, the glucose concentration detection module is further configured to obtain a current glucose concentration value of the diabetic patient according to the secondary early warning prompt information, and calculate a glucose concentration difference value according to the initial glucose concentration value and the current glucose concentration value;
the glucose concentration detection module is further used for judging whether the glucose concentration difference value is within a preset normal concentration difference value threshold range or not, and sending a judgment result to the glucose concentration display module so that the glucose concentration display module can carry out prompt information detection on the secondary early warning prompt information.
Preferably, the glucose concentration detection module is further configured to send the concentration difference determination result to the glucose concentration display module when the glucose concentration difference is not within the preset normal concentration difference threshold range, so that the glucose concentration display module keeps the preset secondary color prompt information unchanged.
The intelligent chopsticks comprise: the intelligent chopsticks comprise a glucose concentration detection module, a quantity detection module and a glucose concentration display module, wherein a metal movable ball body is arranged in the intelligent chopsticks and used for impacting the quantity detection module when a diabetic eats so as to enable the quantity detection module to record the impact times of the metal movable ball body, firstly, the glucose concentration detection module obtains an initial glucose concentration value of the diabetic and sends the initial glucose concentration value to the quantity detection module, the quantity detection module determines the current eating time according to the initial glucose concentration value and counts the effective impact times of the metal movable ball body in the current eating time, then, the quantity detection module sends the effective impact times to the glucose concentration display module, and finally, the glucose concentration display module displays preset early warning prompt information according to the effective impact times, to indicate to the diabetic that the meal is normal or needs to be taken. According to the invention, the dining time is determined according to the initial glucose concentration value of the diabetic, then the effective impact times of the metal movable ball are obtained within the dining time, the preset early warning prompt information is displayed according to the effective impact times, finally the current glucose concentration value of the diabetic after the diabetic is taken is obtained, and the current preset early warning prompt information is detected according to the glucose concentration value, so that the dining condition of the current diabetic can be more accurately judged, the intelligent reminding of the dining condition of the diabetic is realized, and the user experience effect is improved.
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FIG. 1 is a schematic flow chart of a first embodiment of the intelligent chopsticks for diabetic patients according to the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of intelligent chopsticks for diabetic patients according to an embodiment of the present invention.
In this embodiment, the intelligent chopsticks for diabetics comprise the following steps:
the intelligence thumb stall includes: a glucose concentration detection module 1001, a quantity detection module 1002 and a glucose concentration display module 1003; a metal movable ball body is arranged in the intelligent chopsticks and used for impacting the quantity detection module 1002 when the diabetic eats, so that the quantity detection module records the impact times of the metal movable ball body; the glucose concentration detection module 1001 is configured to obtain an initial glucose concentration value of the diabetic patient, and send the initial glucose concentration value to the quantity detection module 1002; the quantity detection module 1002 is configured to determine a current eating duration according to the initial glucose concentration value, and count the number of times of effective impacts of the metal movable sphere within the current eating duration; the quantity detection module 1002 is further configured to send the effective number of impacts to the glucose concentration display module 1003; the glucose concentration display module 1003 is configured to display preset early warning prompt information according to the effective impact times so as to prompt the diabetic patient to eat normally or to control eating.
The intelligent chopsticks are made of composite materials, and are structurally characterized in that metal balls, a quantity detector and a novel biosensor are adopted on the outer surface and the inner part of the ceramic made of the composite materials. The quantity detection instrument is a quantity detection module, and the novel biosensor is a glucose concentration detection module and a glucose concentration display module.
The surface composite layer system is composed of ceramics and other materials with high hardness and difficult to conduct electricity and heat. The surface layer composite system is made of materials which are not easy to conduct electricity and heat and easy to synthesize, so that on one hand, heat conduction is avoided, and on the other hand, synthesis of various materials is facilitated.
The novel biosensor comprises 3 main parts: a nanosheet layer made of graphene, platinum nanoparticles and glucose oxidase. The nano-sheets resemble tiny rose petals, and each petal comprises a plurality of stacked graphene layers. Incomplete chemical bonds are also hung on the edges of the petals, so that the platinum nanoparticles can be attached to the incomplete chemical bonds. The combination of the nanoplatelets and the platinum nanoparticles enables the formation of an electrode, and glucose oxidase can then also be attached to the platinum nanoparticles. The enzyme converts glucose to peroxide and a signal is generated at the electrodes and displayed on the instrument display. So as to measure the glucose concentration in the saliva and further achieve the purpose of controlling the food.
The glucose concentration detection module 1001 is configured to obtain an initial glucose concentration value of the diabetic patient, and send the initial glucose concentration value to the quantity detection module 1002.
It should be noted that the execution main body of the method of this embodiment is the intelligent chopsticks, that is, the intelligent chopsticks can obtain the glucose concentration value, the meal duration and the number of times of impact of the metal movable ball, display the preset early warning prompt information according to the number of times of impact, and detect the preset early warning prompt information according to the glucose concentration value.
The initial glucose concentration value mentioned above is the first glucose concentration value detected by the diabetic through the glucose concentration detection module by using saliva of the diabetic before eating.
The quantity detection module 1002 is configured to determine a current eating duration according to the initial glucose concentration value, and perform an operation of counting the number of times of effective impacts of the metal movable sphere within the current eating duration.
Determining the current eating time according to the initial glucose concentration value, and counting the effective impact times of the metal movable sphere in the current eating time, wherein the current eating time is different from the glucose concentration value of each diabetic before eating, so that the eating time of each diabetic, that is, the current eating time is also different, the eating time is the time set by a user in a self-defined manner according to the glucose concentration value of the diabetic, and may be 20min or 30min, and the effective impact times of the metal movable sphere are obtained according to the current eating time corresponding to different diabetic.
The intelligent chopsticks are internally provided with metal movable balls, and the metal movable balls are used for impacting the quantity detection module when a diabetic eats so as to enable the quantity detection module to record the impacting times of the metal movable balls.
The above mentioned number of effective collisions is the number of collisions of the metal movable ball obtained by the diabetic during the current eating period, but the number of collisions mentioned here may be the number of invalid collisions caused by food falling when the diabetic eats, the number of invalid collisions being related to the number of touches of saliva of the diabetic, wherein the number of invalid collisions is the number of collisions obtained by subtracting the number of invalid collisions from the number of collisions, wherein the number of invalid collisions is the number of touches of saliva of the diabetic, and the number of invalid collisions is also experienced by the metal movable ball when the diabetic uses the smart chopsticks, but the number of touches of saliva of the diabetic is not detected.
Further, for ease of understanding, the following is exemplified:
assuming that the current eating time of the diabetic is 20min, when the diabetic eats with the intelligent chopsticks, each time the diabetic eats one bite, the small balls in the chopsticks impact the quantity detector at the tail of the chopsticks, and the quantity detector counts every time the small balls impact the quantity detector, the obtained number of collisions of the metal movable ball is 100, but the number of collisions mentioned here may be 30 times of invalid collisions caused by food falling off when the diabetic eats, and the number of valid collisions of the diabetic is 70 times.
The quantity detection module 1002 is further configured to send the effective number of impacts to the glucose concentration display module 1003;
the glucose concentration display module 1003 is configured to display preset early warning prompt information according to the effective impact times so as to prompt the diabetic patient to eat normally or to control eating.
The glucose concentration display module judges whether the effective impact frequency is smaller than a preset impact threshold value or not, and when the effective impact frequency is smaller than the preset impact threshold value, the first-level early warning prompt information is displayed to prompt the diabetic patient to eat normally.
The preset impact threshold is a user-defined impact threshold, and can be 80 times, 90 times and the like. The preset early warning prompt information is color prompt information displayed by a glucose concentration display module of the intelligent chopsticks, and the color prompt information is also set by a user in a self-defining way and can be yellow, red, green and the like.
The first-level early warning prompt information is also set by a user in a self-defined mode and can be yellow, red, green and the like.
Assuming that the first-stage early warning prompt message is yellow, the effective impact frequency is 60 times, and the preset impact threshold value is 100 times, it can be known that the effective impact frequency is less than the preset impact threshold value, and the yellow prompt message is displayed on the intelligent chopsticks to prompt the diabetic patient to eat normally. The current eating time can be prolonged, the current eating time is assumed to be 30min, the statistical eating time is half an hour, the diabetic patients are generally full for seven minutes, namely the twenty-minute eating time is good, the number of times that the small ball can collide in one minute is known at the same time, and the eating time is calculated according to the total number of the small ball collisions, so that each time the user eats one meal, the small ball in the chopsticks can collide with the number detector at the tail of the chopsticks due to the eating action, the number detector counts once every time when the user collides, the number detector reaches the 15-minute collision threshold, the display is bright yellow, and the 20-minute number threshold is bright red. The red light is set as secondary early warning prompt information.
The glucose concentration display module sends the primary early warning prompt information to the glucose concentration detection module, and the glucose concentration detection module detects the primary early warning prompt information. The glucose concentration detection module acquires the current glucose concentration value of the diabetic patient according to the primary early warning prompt information, calculates a glucose concentration difference value according to the initial glucose concentration value and the current glucose concentration value, judges whether the glucose concentration difference value is within a preset normal concentration difference value threshold range or not, and sends a judgment result to the glucose concentration display module so that the glucose concentration display module can carry out prompt information detection on the primary early warning prompt information. And when the glucose concentration difference value is within the preset normal concentration difference value threshold range, the glucose concentration detection module sends the concentration difference value judgment result to the glucose concentration display module so that the glucose concentration display module keeps the primary early warning prompt information unchanged.
That is to say, it is assumed that the current smart chopsticks display yellow prompt information, then the current food intake is stopped to obtain a current glucose concentration value, a glucose concentration difference value is calculated according to an initial glucose concentration value and the current glucose concentration value, whether the glucose concentration difference value is within a preset normal concentration difference value threshold range or not is detected, the preset normal concentration difference value threshold is also a threshold value set by a user, and when the glucose concentration difference value is within the preset normal concentration difference value threshold range, a concentration difference value judgment result is sent to the glucose concentration display module, so that the glucose concentration display module keeps the primary early warning prompt information unchanged. And when the glucose concentration difference value is within the preset normal concentration difference value threshold range, primary early warning prompt information is also displayed, so that the glucose concentration display module keeps the primary early warning prompt information unchanged when the glucose concentration difference value is within the preset normal concentration difference value threshold range.
In addition, it should be noted that the glucose concentration display module displays the secondary early warning prompt information when the number of times of effective impact is greater than or equal to the preset impact threshold value, so as to prompt the diabetic patient to control food.
The preset impact threshold is a user-defined impact threshold, and can be 80 times, 90 times and the like. The preset early warning prompt information is color prompt information displayed by a glucose concentration display module of the intelligent chopsticks, and the color prompt information is also set by a user in a self-defining way and can be yellow, red, green and the like.
The mentioned second-level early warning prompt information is also set by the user in a self-defined way and can be yellow, red, green and the like.
Assuming that the secondary early warning prompt message is red, the effective impact frequency is 110 times, and the preset impact threshold value is 100 times, it can be known that the effective impact frequency is greater than or equal to the preset impact threshold value, and the red prompt message is displayed on the intelligent chopsticks to prompt the diabetic to control food. The current eating time can be prolonged, the current eating time is assumed to be 30min, the statistical eating time is half an hour, the diabetic patients are generally full for seven minutes, namely the twenty-minute eating time is good, the number of times that the small ball can collide in one minute is known at the same time, and the eating time is calculated according to the total number of the small ball collisions, so that each time the user eats one meal, the small ball in the chopsticks can collide with the number detector at the tail of the chopsticks due to the eating action, the number detector counts once every time when the user collides, the number detector reaches the 15-minute collision threshold, the display is bright yellow, and the 20-minute number threshold is bright red. The red light is set as secondary early warning prompt information.
The glucose concentration display module sends the second-stage early warning prompt information to the glucose concentration detection module, and the glucose concentration detection module detects the second-stage early warning prompt information. The glucose concentration detection module acquires the current glucose concentration value of the diabetic patient according to the secondary early warning prompt information, calculates a glucose concentration difference value according to the initial glucose concentration value and the current glucose concentration value, judges whether the glucose concentration difference value is within a preset normal concentration difference value threshold range or not, and sends a judgment result to the glucose concentration display module so that the glucose concentration display module can carry out prompt information detection on the secondary early warning prompt information. And when the glucose concentration difference value is not in the preset normal concentration difference value threshold range, the glucose concentration detection module sends the concentration difference value judgment result to the glucose concentration display module so that the glucose concentration display module keeps the preset secondary color prompt information unchanged.
That is to say, assuming that the current intelligent chopsticks display red prompt messages, then stopping current food intake to obtain a current glucose concentration value, calculating a glucose concentration difference value according to an initial glucose concentration value and the current glucose concentration value, and detecting whether the glucose concentration difference value is within a preset normal concentration difference value threshold range, where the preset normal concentration difference value threshold is also a threshold set by a user, and when the glucose concentration difference value is not within the preset normal concentration difference value threshold range, sending the concentration difference value determination result to the glucose concentration display module, so that the glucose concentration display module keeps the secondary early warning prompt messages unchanged. And when the glucose concentration difference value is not in the preset normal concentration difference value threshold range, displaying secondary early warning prompt information, so that the glucose concentration display module keeps the secondary early warning prompt information unchanged when the glucose concentration difference value is not in the preset normal concentration difference value threshold range.
Meanwhile, the intelligent chopsticks are used for reminding the juvenile diabetic of having a meal time by the number of times that the small balls impact the tail quantity detector when the diabetic has a meal with the chopsticks and then reflect the number of times onto the display, and the display can display different colors. (note: it is advisable to count that the meal time is half an hour, but the diabetic is generally suitable for being full in seven minutes, namely twenty minutes, and knowing the impact times of the small balls in one minute, the meal time is calculated through the total impact number of the small balls) before and after eating, the diabetic can still detect the glucose concentration in the body through the contact between the heads of the chopsticks and saliva in the oral cavity, so as to achieve the purpose of controlling eating.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
In this embodiment, an initial glucose concentration value of the diabetic patient is first obtained by the glucose concentration detection module, and the initial glucose concentration value is sent to the quantity detection module, the quantity detection module determines a current eating duration according to the initial glucose concentration value, and counts effective impact times of the metal movable sphere within the current eating duration, then the quantity detection module sends the effective impact times to the glucose concentration display module, the glucose concentration display module displays preset warning prompt information according to the effective impact times to prompt the diabetic patient to eat normally or need to control eating, and then the glucose concentration detection module obtains a current glucose concentration value of the diabetic patient according to the preset warning prompt information and calculates a glucose concentration difference value according to the initial glucose concentration value and the current glucose concentration value, and judging whether the glucose concentration difference value is within a preset normal concentration difference value threshold range or not, and sending a judgment result to the glucose concentration display module so that the glucose concentration display module carries out prompt information detection on the preset early warning prompt information. The glucose concentration difference value of the diabetic patient is utilized to detect the current preset early warning prompt information, so that the user can more accurately acquire the current dining condition, the dining condition of the diabetic patient can be controlled, and the probability of pathological changes of the diabetic patient is reduced.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not elaborated in this embodiment can be referred to the intelligent chopsticks for diabetic patients provided by any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A pair of intelligent chopsticks for diabetics, comprising: the device comprises a glucose concentration detection module, a quantity detection module and a glucose concentration display module;
a metal movable ball body is arranged in the intelligent chopsticks and used for impacting the quantity detection module when the diabetic eats, so that the quantity detection module records the impacting times of the metal movable ball body;
the glucose concentration detection module is used for acquiring an initial glucose concentration value of the diabetic patient and sending the initial glucose concentration value to the quantity detection module;
the quantity detection module is used for determining the current eating duration according to the initial glucose concentration value and counting the effective impact times of the metal movable ball in the current eating duration;
the quantity detection module is also used for sending the effective impact times to the glucose concentration display module;
and the glucose concentration display module is used for displaying preset early warning prompt information according to the effective impact times so as to prompt the diabetic patient to eat normally or to control food.
2. The pair of intelligent chopsticks for diabetics of claim 1, wherein the number detection module is further configured to obtain the number of impacts corresponding to the metal movable ball during the current eating duration;
the quantity detection module is further used for screening the impact times according to the saliva contact information of the diabetic patient and determining effective impact times according to a screening result.
3. The pair of intelligent chopsticks for diabetics of claim 1, wherein said preset early warning prompt message comprises a primary early warning prompt message;
the glucose concentration display module is also used for judging whether the effective impact frequency is smaller than a preset impact threshold value;
the glucose concentration display module is further used for displaying the first-level early warning prompt information when the effective impact frequency is smaller than the preset impact threshold value so as to prompt the diabetic patient to eat normally.
4. The intelligent chopsticks for the diabetic patient according to claim 3, wherein the glucose concentration display module is further configured to send the primary early warning prompt message to the glucose concentration detection module;
and the glucose concentration detection module is also used for detecting the prompt information of the primary early warning prompt information.
5. The intelligent chopsticks for the diabetic patient according to claim 4, wherein the glucose concentration detection module is further configured to obtain a current glucose concentration value of the diabetic patient according to the primary early warning prompt information, and calculate a glucose concentration difference value according to the initial glucose concentration value and the current glucose concentration value;
the glucose concentration detection module is further used for judging whether the glucose concentration difference value is within a preset normal concentration difference value threshold range or not, and sending a judgment result to the glucose concentration display module so that the glucose concentration display module can carry out prompt information detection on the primary early warning prompt information.
6. The intelligent chopsticks for diabetics as claimed in claim 5, wherein the glucose concentration detection module is further configured to send the concentration difference determination result to the glucose concentration display module when the glucose concentration difference is within the preset normal concentration difference threshold range, so that the glucose concentration display module keeps the primary warning prompt information unchanged.
7. The pair of intelligent chopsticks for diabetics of claim 3, wherein the preset early warning prompt information further comprises a secondary early warning prompt information;
the glucose concentration display module is further used for displaying the secondary early warning prompt information when the effective impact frequency is larger than or equal to the preset impact threshold value so as to prompt the diabetic patient to control food.
8. The intelligent chopsticks for the diabetic patient according to claim 7, wherein the glucose concentration display module is further configured to send the secondary early warning prompt message to the glucose concentration detection module;
and the glucose concentration detection module is also used for detecting the prompt information of the secondary early warning prompt information.
9. The intelligent chopsticks for the diabetic patient according to claim 8, wherein the glucose concentration detection module is further configured to obtain a current glucose concentration value of the diabetic patient according to the secondary early warning prompt information, and calculate a glucose concentration difference value according to the initial glucose concentration value and the current glucose concentration value;
the glucose concentration detection module is further used for judging whether the glucose concentration difference value is within a preset normal concentration difference value threshold range or not, and sending a judgment result to the glucose concentration display module so that the glucose concentration display module can carry out prompt information detection on the secondary early warning prompt information.
10. The intelligent chopsticks for diabetics as claimed in claim 9, wherein the glucose concentration detecting module is further configured to send the glucose concentration difference determination result to the glucose concentration displaying module when the glucose concentration difference is not within the preset normal concentration difference threshold range, so that the glucose concentration displaying module keeps the preset secondary color prompt information unchanged.
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Citations (7)
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| CN204049104U (en) * | 2014-09-24 | 2014-12-31 | 苏州兆乘软件有限公司 | Multi-functional chopsticks |
| CN106446508A (en) * | 2016-08-30 | 2017-02-22 | 陈维 | Intelligent chopstick prediction system and method for performing prediction by using system |
| CN106820874A (en) * | 2017-03-30 | 2017-06-13 | 张景峰 | A kind of intelligent chopsticks |
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| CN109613188A (en) * | 2018-12-26 | 2019-04-12 | 杭州蒙蒙科技有限公司 | A kind of method and apparatus detecting food performance |
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