CN114093489B - Method for confirming blood glucose detection time of non-intelligent blood glucose meter and related equipment - Google Patents

Method for confirming blood glucose detection time of non-intelligent blood glucose meter and related equipment Download PDF

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CN114093489B
CN114093489B CN202111149611.9A CN202111149611A CN114093489B CN 114093489 B CN114093489 B CN 114093489B CN 202111149611 A CN202111149611 A CN 202111149611A CN 114093489 B CN114093489 B CN 114093489B
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blood glucose
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local
electric quantity
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CN114093489A (en
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翟睿
张晓龙
董玉珠
邢磊洋
李晓利
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Beijing Sinomedisite Bio Tech Co Ltd
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Abstract

The utility model provides a method for determining the blood sugar detection time of a non-intelligent blood sugar meter and a related device, wherein the method comprises the steps of obtaining the local blood sugar detection time and the local blood sugar data uploading time of the non-intelligent blood sugar meter; acquiring the calibration time of the server and the current time for uploading the blood glucose data; determining the blood glucose detection time of the non-intelligent blood glucose meter according to the obtained local blood glucose detection time, the local blood glucose data uploading time, the calibration time and the current blood glucose data uploading time; the server performs time correction on the non-intelligent blood glucose meter based on preset conditions, and saves the latest correction time as the calibration time, so that the blood glucose detection time of the non-intelligent blood glucose meter is accurately determined, and further, the use of subsequent blood glucose data is guaranteed.

Description

Method for confirming blood glucose detection time of non-intelligent blood glucose meter and related equipment
Technical Field
The disclosure relates to the technical field of glucometers, in particular to a method for confirming blood glucose detection time of a non-intelligent glucometer and related equipment.
Background
At present, with the increasing number of diabetics, the use of the blood glucose meter is more and more frequent, and various blood glucose meters are also appeared on the market.
The old blood glucose meters used by early users can only detect blood glucose in real time and read data, but along with the attention of users and doctors to blood glucose fluctuation of the users, the old blood glucose meters are gradually eliminated, in the prior art, two blood glucose meters mainly can realize long-term statistics on the blood glucose fluctuation of the users, one is an intelligent blood glucose meter, the cost of the blood glucose meter is generally higher, the storage and calculation capacity of the blood glucose meter is higher, the blood glucose historical detection data can be stored by the blood glucose meter, the look-up function can be realized, the other is a non-intelligent blood glucose meter, the cost of the blood glucose meter is lower, the blood glucose meter can be accepted by the users more easily, and the detection data needs to be sent to a server because the blood glucose meter cannot store and calculate a large amount of data, and then the server processes and stores the data. However, the non-intelligent blood glucose meter is easy to cause the problem of inaccurate blood glucose detection time due to factors such as network delay and the like, thereby bringing inconvenience to the statistics of blood glucose data.
Disclosure of Invention
In view of the above, an object of the present disclosure is to provide a method and related device for determining a blood glucose detection time of a non-intelligent blood glucose meter.
Based on the above purpose, the present disclosure provides a method for determining a blood glucose detection time of a non-intelligent blood glucose meter, including:
acquiring local blood sugar detection time and local blood sugar data uploading time of a non-intelligent blood sugar meter;
acquiring the calibration time of a server and the current time for uploading blood glucose data;
determining a blood glucose detection time of the non-smart glucose meter based on the local blood glucose detection time, the local uploaded blood glucose data time, the calibration time, and the current uploaded blood glucose data time;
and the server corrects the time of the non-intelligent blood glucose meter based on preset conditions and saves the latest correction time as the calibration time.
Correspondingly, the present disclosure also provides a system for determining blood glucose detection time of a non-intelligent blood glucose meter, where the system includes the non-intelligent blood glucose meter and a server, the non-intelligent blood glucose meter is used to detect blood glucose and send detection data to the server, and the server is used to implement the method for determining blood glucose detection time of the non-intelligent blood glucose meter.
Accordingly, the present disclosure also proposes an electronic device, which includes a memory, a processor and a computer program stored on the memory and executable by the processor, and the processor executes the program to implement the method for determining the blood glucose detection time of the non-intelligent blood glucose meter as described above.
Accordingly, the present disclosure also proposes a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method for determining a blood glucose detection time of a non-smart blood glucose meter as described above.
As can be seen from the above description, the method for determining the blood glucose detection time of the non-intelligent blood glucose meter provided by the present disclosure obtains the local blood glucose detection time and the local blood glucose data uploading time of the non-intelligent blood glucose meter; acquiring the calibration time of the server and the current time for uploading the blood glucose data; determining the blood glucose detection time of the non-intelligent blood glucose meter according to the obtained local blood glucose detection time, the local blood glucose data uploading time, the calibration time and the current blood glucose data uploading time; the server corrects the time of the non-intelligent blood glucose meter based on a preset condition and saves the latest correction time as the calibration time. Therefore, the blood glucose detection time of the non-intelligent blood glucose meter is accurately determined, and further guarantee is provided for the use of subsequent blood glucose data.
Drawings
In order to more clearly illustrate the technical solutions in the present disclosure or related technologies, the drawings needed to be used in the description of the embodiments or related technologies are briefly introduced below, and it is obvious that the drawings in the following description are only embodiments of the present disclosure, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for determining a blood glucose measurement time of a non-intelligent blood glucose meter according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a device for determining a blood glucose detection time of a non-intelligent blood glucose meter according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a system for determining a blood glucose measurement time of a non-intelligent blood glucose meter according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a specific electronic device according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present disclosure more apparent, the present disclosure will be described in further detail below with reference to specific embodiments and the accompanying drawings.
It is to be noted that technical terms or scientific terms used in the embodiments of the present disclosure should have a general meaning as understood by those having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar terms in the embodiments of the disclosure is not intended to indicate any order, quantity, or importance, but rather to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used only to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
As described in the background art, the non-intelligent blood glucose meter cannot store and calculate a large amount of data by itself, and therefore, it is necessary to transmit the detection data to the server, and then perform data processing and storage by the server. However, when the non-intelligent blood glucose meter sends data information to the server, power failure and network disconnection may occur, which may cause that the detected blood glucose data cannot be uploaded to the server in time, and the time initialization is restored to the set departure time after each power failure or shutdown of the non-intelligent blood glucose meter, which may cause that the local blood glucose detection time stored by the non-intelligent blood glucose meter cannot be directly used, and further determination of whether the local blood glucose detection time is correct is required. In view of the situations that may occur in the using process of the non-intelligent blood glucose meters, the present disclosure provides a method for determining the blood glucose detection time of the non-intelligent blood glucose meters, which determines the blood glucose detection time of the non-intelligent blood glucose meters through the local blood glucose detection time, the local blood glucose data uploading time calibration time and the current blood glucose data uploading time; the accuracy of the blood glucose detection time counted by the server is ensured, and the use of the subsequent blood glucose data is guaranteed.
Referring to fig. 1, a schematic flowchart of a method for determining a blood glucose detection time of a non-intelligent blood glucose meter according to an embodiment of the present disclosure is shown, where the method includes the following steps:
s101, local blood sugar detection time and local blood sugar data uploading time of the non-intelligent blood sugar meter are obtained.
During specific implementation, when the non-intelligent blood glucose meter detects blood glucose each time, a local blood glucose detection time can be stored locally, the local blood glucose detection time represents the time of the non-intelligent blood glucose meter when the blood glucose is detected, and optionally, the local blood glucose detection time and the detected blood glucose value are uploaded to the server together. Then, when the non-intelligent blood glucose meter uploads the blood glucose data to the server every time, the local blood glucose data uploading time of the non-intelligent blood glucose meter is uploaded to the server at the same time. The local blood glucose data uploading time is the time of the non-intelligent blood glucose meter when the non-intelligent blood glucose meter uploads the blood glucose data to the server. When the server determines the blood sugar detection time, the server firstly obtains the local blood sugar detection time and the local blood sugar data uploading time of the non-intelligent blood sugar meter.
It should be noted that all time expressions in the present disclosure refer to a specific time, such as 18 o 'clock 30 o' clock at 10/1/2021, and all time expressions refer to a period of time, such as 1 hour, 1 day, etc. The non-intelligent blood glucose meter sends blood glucose detection data and time to the server generally immediately after detecting blood glucose, the server sends a piece of confirmation receiving information to the non-intelligent blood glucose meter after receiving the data, the non-intelligent blood glucose meter finishes the blood glucose detection after receiving the confirmation receiving information, and deletes the blood glucose data and time stored locally, but when a network fails or the blood glucose meter is shut down or powered off before not receiving the confirmation receiving information, the non-intelligent blood glucose meter continues to send the blood glucose detection data and time stored before the blood glucose meter is started next time until the confirmation receiving information sent by the server is received.
And S102, acquiring the calibration time of the server and the current time for uploading the blood glucose data.
In specific implementation, the time of the non-intelligent blood glucose meter is interfered by other external factors such as time initialization and the like, and the correction is generally carried out by the server at intervals, namely, the current time of the non-intelligent blood glucose meter is adjusted to be the current time of the server. Specifically, the server performs time correction on the non-intelligent blood glucose meter based on a preset condition, and saves the latest correction time as the calibration time. Optionally, the preset condition may be to perform timing correction, for example, timing correction is performed once every day, or correction is performed when a certain condition is met, such as time correction is performed each time the non-intelligent blood glucose meter is charged, or time correction is performed according to other preset conditions, which is not limited herein. Since the server only saves the latest correction time as the calibration time, the previous correction time is cleared, and the storage space of the server is further saved. When the server receives the blood glucose data sent by the non-intelligent blood glucose meter, the current time for uploading the blood glucose data of the server at the moment is recorded besides the calibration time, and the subsequent determination of the blood glucose detection time is used.
S103, determining the blood glucose detection time of the non-intelligent blood glucose meter based on the local blood glucose detection time, the local blood glucose data uploading time, the calibration time and the current blood glucose data uploading time.
In specific implementation, after the local blood glucose detection time, the local blood glucose data uploading time, the calibration time and the current blood glucose data uploading time are obtained, the working state of the non-intelligent blood glucose meter from the blood glucose detection to the data uploading is determined by comparing the relation of the four times, and after the working state is determined, the blood glucose detection time of the non-intelligent blood glucose meter is determined according to the obtained time according to different states, so that the accuracy of the blood glucose detection time is further ensured.
In some embodiments, determining a blood glucose test time for the non-smart glucose meter based on the local blood glucose test time, the local uploaded blood glucose data time, the calibration time, and the current uploaded blood glucose data time; the method specifically comprises the following steps:
in response to determining that the local glucose detection time is less than the calibration time and less than the local upload glucose data time, or indeed that the local glucose detection time is greater than the calibration time and less than the local upload glucose data time and greater than the current upload glucose data time, obtaining a glucose wait upload duration based on the local glucose detection time and the local upload glucose data time;
and determining the blood glucose detection time based on the blood glucose waiting uploading duration and the current blood glucose data uploading time.
In specific implementation, when the local blood glucose detection time is less than the calibration time and less than the local blood glucose data uploading time, it is indicated that the non-intelligent blood glucose meter performs blood glucose detection after time initialization, at this time, the local blood glucose detection time cannot be directly used as the blood glucose detection time, and the blood glucose wait uploading duration can be obtained by the local blood glucose detection time and the local blood glucose data uploading time, that is, the blood glucose wait uploading duration is obtained by subtracting the local blood glucose detection time from the local blood glucose data uploading time. When the local blood sugar detection time is longer than the calibration time, shorter than the local blood sugar data uploading time and longer than the current blood sugar data uploading time, the self time of the non-intelligent blood sugar meter is faster than the normal time, the blood sugar waiting uploading time can be obtained through the local blood sugar detection time and the local blood sugar data uploading time, and after the waiting uploading time is obtained, the blood sugar detection time can be determined through the blood sugar waiting uploading time and the current blood sugar data uploading time. Namely, the blood sugar detection time is obtained by subtracting the blood sugar waiting uploading duration from the current blood sugar data uploading time.
In some embodiments, determining a blood glucose test time for the non-smart glucose meter based on the local blood glucose test time, the local uploaded blood glucose data time, the calibration time, and the current uploaded blood glucose data time; the method specifically comprises the following steps:
determining the local blood glucose test time as the blood glucose test time in response to the local blood glucose test time being greater than the calibration time and less than the local upload blood glucose data time and less than the current upload blood glucose data time.
In specific implementation, when the local blood glucose detection time is greater than the calibration time and less than the local blood glucose data uploading time and less than the current blood glucose data uploading time, it is indicated that the local blood glucose detection time is accurate, and the local blood glucose detection time can be directly determined as the blood glucose detection time.
In order to further ensure the accuracy of the obtained blood glucose test time, in some embodiments, the determining the blood glucose test time based on the blood glucose wait upload duration and the current blood glucose data upload time specifically includes:
acquiring first electric quantity of the non-intelligent blood glucose meter corresponding to the local blood glucose detection time, second electric quantity of the non-intelligent blood glucose meter corresponding to the local blood glucose data uploading time, and charging information of the non-intelligent blood glucose meter between the first electric quantity and the second electric quantity;
and correcting the blood sugar waiting uploading time length based on the first electric quantity, the second electric quantity and the charging information, and determining the blood sugar detection time based on the corrected blood sugar waiting uploading time length and the current blood sugar data uploading time.
In specific implementation, the time of the non-intelligent blood glucose meter is considered to be prone to error, so that the time for waiting for uploading the blood glucose obtained only through the local blood glucose detection time and the local blood glucose data uploading time is possibly inaccurate, and therefore, the electric quantity of the non-intelligent blood glucose meter at different times can be further obtained, the change of the electric quantity and the time have a certain relation, and the corresponding time change can be indirectly calculated through the change of the electric quantity. Generally, the electric quantity of the non-intelligent blood glucose meter is gradually reduced along with the increase of time in the non-charging state, and the electric quantity of the non-intelligent blood glucose meter is gradually increased along with the increase of time in the charging state. Optionally, a first relation curve diagram of electric quantity and time of the non-intelligent blood glucose meter under the uncharged condition and a second relation curve diagram of electric quantity and time of the non-intelligent blood glucose meter under the charged condition can be obtained through experiments and stored in the server, then the time length of waiting for uploading blood glucose is corrected by obtaining the electric quantity corresponding to the local blood glucose detection time and the local blood glucose data uploading time and the charging information of the non-intelligent blood glucose meter between the two times, and the blood glucose detection time is determined according to the corrected time length of waiting for uploading blood glucose and the current blood glucose data uploading time.
In some embodiments, the charging information includes a third charge amount of the non-smart glucose meter corresponding to a time when charging is started and a fourth charge amount of the non-smart glucose meter corresponding to a time when charging is stopped; the correcting the blood sugar waiting uploading duration based on the first electric quantity, the second electric quantity and the charging information specifically comprises:
in response to determining that the charging information is blank information, correcting the blood glucose wait uploading duration based on the first electric quantity and the second electric quantity;
in response to determining that the charging information includes only the third amount of power, correcting the blood glucose wait upload duration based on the first amount of power, the second amount of power, and the third amount of power;
in response to determining that the charging information includes only the fourth amount of power, correcting the blood glucose wait upload duration based on the first amount of power, the second amount of power, and the fourth amount of power;
in response to determining that the charging information includes the third amount of electricity and the fourth amount of electricity, correcting the blood glucose wait upload duration based on the first amount of electricity, the second amount of electricity, the third amount of electricity, and the fourth amount of electricity.
In a specific implementation, the charging information generally includes a third electric quantity of the non-intelligent blood glucose meter corresponding to a time of starting charging and a fourth electric quantity of the non-intelligent blood glucose meter corresponding to a time of stopping charging, and meanwhile, the charging information may also be blank information, that is, during a period from a local blood glucose detection time to a time of locally uploading blood glucose data, the non-intelligent blood glucose meter does not start charging or stop charging. Optionally, the non-intelligent blood glucose meter stores the current electric quantity locally when starting or stopping charging, and makes a charging information mark so as to facilitate query of the server. When the charging information is blank information, the blood glucose uploading waiting time length only needs to be corrected according to the first electric quantity and the second electric quantity, optionally, the first electric quantity and the second electric quantity are compared, if the first electric quantity is larger than the second electric quantity, the non-intelligent blood glucose meter is always in an uncharged state, and at the moment, the blood glucose uploading waiting time length can be corrected through the first relation curve chart, the first electric quantity and the second electric quantity; if the first electric quantity is smaller than the second electric quantity, the non-intelligent blood glucose meter is always in a charging state, and at the moment, the blood glucose uploading waiting time length can be corrected through the second relation curve chart, the first electric quantity and the second electric quantity. When the charging information only comprises the third electric quantity, the non-intelligent blood glucose meter is charged once in the waiting uploading time, so that the first section of waiting time is determined through the first relation curve, the first electric quantity and the third electric quantity, then the second section of waiting time is determined through the second relation curve, the second electric quantity and the third electric quantity, and finally the two sections of waiting time are summed to correct the blood glucose waiting uploading time. By analogy, the charging time period and the non-charging time period are calculated separately, and the waiting uploading time length can be corrected according to different charging information. It should be noted that the third power amount and the fourth power amount may be multiple or one, respectively, that is, multiple charging and stopping of charging may be performed within the wait uploading duration, which is not limited herein.
In order to adapt to the special situation of the non-intelligent blood glucose meter, the blood glucose detection time of the non-intelligent blood glucose meter can still be accurately determined, in some embodiments, the blood glucose detection time of the non-intelligent blood glucose meter is determined based on the local blood glucose detection time, the local blood glucose data uploading time, the calibration time and the current blood glucose data uploading time; the method specifically comprises the following steps:
in response to determining that the local blood glucose detection time is less than the calibration time and greater than the local blood glucose data uploading time, obtaining the blood glucose wait uploading duration of the non-intelligent blood glucose meter based on a fifth electric quantity corresponding to the shutdown time of the non-intelligent blood glucose meter, the first electric quantity, the charging information, a sixth electric quantity corresponding to the startup time of the non-intelligent blood glucose meter, and the local blood glucose data uploading time;
determining the blood glucose detection time based on the blood glucose waiting uploading duration and the current blood glucose data uploading time;
the non-intelligent blood glucose meter is automatically powered off when the first preset electric quantity is obtained, and is automatically powered on when the second preset electric quantity is obtained.
In specific implementation, when the local blood glucose detection time is less than the calibration time and greater than the local blood glucose data uploading time, it is indicated that the non-intelligent blood glucose meter performs blood glucose detection after the initialization time, at this time, the local blood glucose detection time is inaccurate, and meanwhile, before the non-intelligent blood glucose meter does not upload detection data to the server, the non-intelligent blood glucose meter is restarted to cause the local blood glucose data uploading time to be closer to the initialization time, that is, less than the local blood glucose detection time. At this time, a fifth electric quantity corresponding to the off time of the non-intelligent blood glucose meter and a sixth electric quantity corresponding to the on time of the non-intelligent blood glucose meter need to be further obtained. It should be noted that, in order to prevent the non-intelligent blood glucose meter from having no electric quantity at all and causing the time having no electric quantity at all to be unable to be calculated, the non-intelligent blood glucose meter of the present disclosure is automatically turned off at a first preset electric quantity and is automatically turned on at a second preset electric quantity. The first preset electric quantity can be set as required, for example, the first preset electric quantity can be set to be 10% of the total electric quantity, and the specific value can refer to the time interval between two blood sugar tests of the user. Optionally, the second preset electric quantity may be set to be 100% of the total electric quantity, or set to be a second preset electric quantity of other values, which is not limited herein, in order to prevent the non-intelligent blood glucose meter from being still not powered on after being fully charged, and further, the accurate time when being powered off cannot be obtained. The method has the advantages that the electric quantity statistics can be automatically carried out after the non-intelligent blood glucose meter is shut down by setting the preset first electric quantity and the preset second electric quantity, and the shutdown duration is calculated through a third relation curve of the shutdown electric quantity change and the shutdown time. Optionally, in order to enable the non-intelligent blood glucose meter to still maintain the electric quantity when the user actively changes the battery of the non-intelligent blood glucose meter, the total electric quantity of the non-intelligent blood glucose meter may be composed of the electric quantities of the two batteries, and one of the batteries may not be detached at will. The method comprises the steps of recording current electric quantity when a non-intelligent blood glucose meter is charged, stops charging, shuts down and starts up, obtaining a third waiting time before starting up through the electric quantities and corresponding relation curves of the electric quantities and time, obtaining a fourth waiting time after starting up through the initialization time and the local blood glucose data uploading time, and finally summing the third waiting time and the fourth waiting time to obtain the blood glucose waiting uploading time.
In some embodiments, determining a blood glucose test time for the non-smart glucose meter based on the local blood glucose test time, the local uploaded blood glucose data time, the calibration time, and the current uploaded blood glucose data time; the method specifically comprises the following steps:
in response to determining that the local blood glucose detection time is less than the calibration time and less than the local blood glucose data uploading time, and the third electric quantity is less than the first preset electric quantity, obtaining the blood glucose wait uploading duration based on the first electric quantity, the preset electric quantity, the charging information, the sixth electric quantity, and the local blood glucose data uploading time;
and determining the blood glucose detection time based on the blood glucose waiting uploading duration and the current blood glucose data uploading time.
In specific implementation, when the local blood glucose detection time is less than the calibration time and less than the local blood glucose data uploading time, and the third electric quantity is less than the first preset electric quantity, in the waiting process of the non-intelligent blood glucose meter, although the local blood glucose data uploading time is greater than the local blood glucose detection time, the reason for this is that the blood glucose data is not uploaded to the server all the time due to a long time of poor network after the initialization time, so the blood glucose data uploading time is closer to the initialization time than the local blood glucose detection time, and in this case, the power is turned off due to too low electric quantity, so the blood glucose waiting uploading time needs to be obtained again according to the first electric quantity, the preset electric quantity, the charging information, the sixth electric quantity, and the local blood glucose data uploading time.
The method for determining the blood glucose detection time of the non-intelligent blood glucose meter obtains the local blood glucose detection time and the local blood glucose data uploading time of the non-intelligent blood glucose meter; acquiring the calibration time of the server and the current time for uploading the blood glucose data; determining the blood glucose detection time of the non-intelligent blood glucose meter according to the obtained local blood glucose detection time, the local blood glucose data uploading time, the calibration time and the current blood glucose data uploading time; the server corrects the time of the non-intelligent blood glucose meter based on a preset condition and saves the latest correction time as the calibration time. Therefore, the blood glucose detection time of the non-intelligent blood glucose meter is accurately determined, and further guarantee is provided for the use of subsequent blood glucose data. Meanwhile, the method and the device also judge various special conditions which may occur in the process of uploading data by the non-intelligent glucometer, accurately obtain the blood sugar detection time according to various special conditions, and further ensure the accuracy of the blood sugar detection time.
It should be noted that the method of the embodiment of the present disclosure may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may only perform one or more steps of the method of the embodiments of the present disclosure, and the devices may interact with each other to complete the method.
It should be noted that the above describes some embodiments of the disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same inventive concept, corresponding to the method of any embodiment, the disclosure also provides a device for determining the blood glucose detection time of the non-intelligent blood glucose meter.
Referring to fig. 2, the apparatus for determining a blood glucose test time of the non-intelligent blood glucose meter includes:
the first acquisition module 201 is used for acquiring local blood sugar detection time and local blood sugar data uploading time of the non-intelligent blood sugar meter;
the second obtaining module 202 obtains the calibration time of the server and the current time for uploading the blood glucose data;
a determining module 203, configured to determine a blood glucose detection time of the non-intelligent blood glucose meter based on the local blood glucose detection time, the local blood glucose data uploading time, the calibration time, and the current blood glucose data uploading time;
the server corrects the time of the non-intelligent blood glucose meter based on a preset condition and saves the latest correction time as the calibration time.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the various modules may be implemented in the same one or more software and/or hardware implementations of the present disclosure.
The device in the above embodiment is used for implementing the method for determining the blood glucose detection time of the corresponding non-intelligent blood glucose meter in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, corresponding to the method of any embodiment, the disclosure also provides a system for determining the blood glucose detection time of the non-intelligent blood glucose meter.
Referring to fig. 3, the system for determining the blood glucose test time of the non-intelligent blood glucose meter includes the non-intelligent blood glucose meter and a server, the non-intelligent blood glucose meter is configured to detect blood glucose and send test data to the server, and the server is configured to implement the method for determining the blood glucose test time of the non-intelligent blood glucose meter according to any one of the embodiments described above. And has the beneficial effects of the corresponding method embodiments, which are not described herein again.
Based on the same inventive concept, corresponding to the method of any embodiment, the disclosure further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the method for determining the blood glucose detection time of the non-intelligent blood glucose meter according to any embodiment is implemented.
Fig. 4 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via a bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
The bus 1050 includes a path to transfer information between various components of the device, such as the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040.
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
The electronic device of the foregoing embodiment is used to implement the method for determining the blood glucose detection time of the corresponding non-intelligent blood glucose meter in any of the foregoing embodiments. And has the beneficial effects of the corresponding method embodiments, which are not described herein again.
Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the method for determining a blood glucose detection time of a non-smart blood glucose meter according to any of the above-mentioned embodiments.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the method for determining the blood glucose detection time of the non-intelligent blood glucose meter according to any of the above embodiments, and have the beneficial effects of corresponding method embodiments, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the present disclosure, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures for simplicity of illustration and discussion, and so as not to obscure the embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring embodiments of the present disclosure, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the present disclosure are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that the embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
The disclosed embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalents, improvements, and the like that may be made within the spirit and principles of the embodiments of the disclosure are intended to be included within the scope of the disclosure.

Claims (8)

1. A method for confirming blood glucose test time of a non-intelligent blood glucose meter, comprising:
acquiring local blood sugar detection time and local blood sugar data uploading time of a non-intelligent blood sugar meter;
acquiring the calibration time of a server and the current time for uploading blood glucose data;
determining a blood glucose detection time of the non-smart glucose meter based on the local blood glucose detection time, the local uploaded blood glucose data time, the calibration time, and the current uploaded blood glucose data time;
the server performs time correction on the non-intelligent blood glucose meter based on preset conditions, and saves the latest correction time as the calibration time;
wherein the blood glucose detection time of the non-intelligent blood glucose meter is determined based on the local blood glucose detection time, the local blood glucose data uploading time, the calibration time and the current blood glucose data uploading time; the method specifically comprises the following steps:
in response to determining that the local glucose test time is less than the calibration time and less than the local upload glucose data time, or indeed that the local glucose test time is greater than the calibration time and less than the local upload glucose data time and greater than the current upload glucose data time, obtaining a glucose wait upload duration based on the local glucose test time and the local upload glucose data time;
determining the blood glucose detection time based on the blood glucose waiting uploading duration and the current blood glucose data uploading time;
wherein the blood glucose test time of the non-smart glucose meter is determined based on the local blood glucose test time, the local uploaded blood glucose data time, the calibration time, and the current uploaded blood glucose data time; the method specifically comprises the following steps:
determining the local blood glucose test time as the blood glucose test time in response to the local blood glucose test time being greater than the calibration time and less than the local upload blood glucose data time and less than the current upload blood glucose data time.
2. The method according to claim 1, wherein determining the blood glucose detection time based on the blood glucose wait upload duration and the current upload blood glucose data time specifically comprises:
acquiring first electric quantity of the non-intelligent blood glucose meter corresponding to the local blood glucose detection time, second electric quantity of the non-intelligent blood glucose meter corresponding to the local blood glucose data uploading time, and charging information of the non-intelligent blood glucose meter between the first electric quantity and the second electric quantity;
and correcting the blood sugar waiting uploading time length based on the first electric quantity, the second electric quantity and the charging information, and determining the blood sugar detection time based on the corrected blood sugar waiting uploading time length and the current blood sugar data uploading time.
3. The method of claim 2, wherein the charging information includes a third charge of the non-smart glucose meter corresponding to a time at which charging is started and a fourth charge of the non-smart glucose meter corresponding to a time at which charging is stopped; the correcting the blood sugar waiting uploading duration based on the first electric quantity, the second electric quantity and the charging information specifically includes:
in response to determining that the charging information is blank information, correcting the blood glucose wait uploading duration based on the first electric quantity and the second electric quantity;
in response to determining that the charging information includes only the third amount of power, correcting the blood glucose wait upload duration based on the first amount of power, the second amount of power, and the third amount of power;
in response to determining that the charging information includes only the fourth amount of power, correcting the blood glucose wait upload duration based on the first amount of power, the second amount of power, and the fourth amount of power;
in response to determining that the charging information includes the third amount of electricity and the fourth amount of electricity, correcting the blood glucose wait upload duration based on the first amount of electricity, the second amount of electricity, the third amount of electricity, and the fourth amount of electricity.
4. The method of claim 3, wherein a blood glucose test time of the non-smart glucose meter is determined based on the local blood glucose test time, the local uploaded blood glucose data time, the calibration time, and the current uploaded blood glucose data time; the method specifically comprises the following steps:
in response to determining that the local blood glucose detection time is less than the calibration time and greater than the local blood glucose data uploading time, obtaining the blood glucose wait uploading duration of the non-intelligent blood glucose meter based on a fifth electric quantity corresponding to the shutdown time of the non-intelligent blood glucose meter, the first electric quantity, the charging information, a sixth electric quantity corresponding to the startup time of the non-intelligent blood glucose meter, and the local blood glucose data uploading time;
determining the blood glucose detection time based on the blood glucose waiting uploading duration and the current blood glucose data uploading time;
the non-intelligent blood glucose meter is automatically powered off when the first preset electric quantity is obtained, and is automatically powered on when the second preset electric quantity is obtained.
5. The method of claim 4, wherein a blood glucose test time of the non-smart glucose meter is determined based on the local blood glucose test time, the local uploaded blood glucose data time, the calibration time, and the current uploaded blood glucose data time; the method specifically comprises the following steps:
in response to determining that the local blood glucose detection time is less than the calibration time and less than the local blood glucose data uploading time, and the third electric quantity is less than the first preset electric quantity, obtaining the blood glucose wait uploading duration based on the first electric quantity, the preset electric quantity, the charging information, the sixth electric quantity, and the local blood glucose data uploading time;
and determining the blood glucose detection time based on the blood glucose waiting uploading duration and the current blood glucose data uploading time.
6. A system for validating a blood glucose test time of a non-intelligent blood glucose meter, the system comprising the non-intelligent blood glucose meter and a server, the non-intelligent blood glucose meter for testing blood glucose and sending test data to the server, the server for implementing the method of any one of claims 1 to 5.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable by the processor, the processor implementing the method of any one of claims 1 to 5 when executing the program.
8. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1-5.
CN202111149611.9A 2021-09-29 2021-09-29 Method for confirming blood glucose detection time of non-intelligent blood glucose meter and related equipment Active CN114093489B (en)

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