CN107610775B - Data monitoring method and device of coffee machine - Google Patents
Data monitoring method and device of coffee machine Download PDFInfo
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- CN107610775B CN107610775B CN201710662687.9A CN201710662687A CN107610775B CN 107610775 B CN107610775 B CN 107610775B CN 201710662687 A CN201710662687 A CN 201710662687A CN 107610775 B CN107610775 B CN 107610775B
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Abstract
The disclosure relates to a data monitoring method and a device of a coffee machine, wherein the method comprises the following steps: monitoring parameters of each coffee making in a preset time period; determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making; and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive. The technical scheme can avoid the user from ingesting excessive caffeine and ensure the healthy diet of the user.
Description
Technical Field
The disclosure relates to the technical field of smart home, in particular to a data method and device of a coffee machine.
Background
Coffee is one of the most popular beverages in human society, caffeine in coffee can stimulate the central nervous system, heart and respiratory system, proper amount of caffeine can relieve muscle fatigue and promote secretion of digestive juice, but excessive intake of caffeine can cause symptoms such as acceleration of heartbeat and excitement, and intake of caffeine before sleep can affect sleep quality.
Disclosure of Invention
The embodiment of the disclosure provides a data monitoring method and device of a coffee machine. The technical scheme is as follows:
according to a first aspect of embodiments of the present disclosure, there is provided a data monitoring method of a coffee machine, including:
monitoring parameters of each coffee making in a preset time period;
determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making;
and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: according to the embodiment, the parameter of the made coffee can be monitored in the preset time period, and the content of the caffeine ingested by the user in the preset time period is further determined, so that when the content of the caffeine ingested by the user is too high and is greater than a safety threshold preset for the preset time period, prompt information is output, excessive caffeine ingested by the user is avoided, and healthy diet of the user is guaranteed.
In one embodiment, the parameters for each coffee-making include the type and content of each coffee-making; the preset time period includes a time period before a preset sleep time.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the embodiment can determine the content of the caffeine ingested by the user according to the type and the content of the coffee made each time, so that the determined content of the caffeine ingested by the user is more accurate, the user is prevented from ingesting a large amount of caffeine accurately, and the user is guaranteed to drink healthily; in addition, parameters of making coffee each time in a time period before the preset sleep time can be monitored, the content of caffeine ingested by the user in the time period before the preset sleep time is further determined, and when the content of the caffeine is larger than a safety threshold value aiming at the time period before the sleep time, prompt information is output to remind the user not to continue drinking coffee, so that the sleep quality of the user is guaranteed.
In one embodiment, when the caffeine content is greater than a safety threshold preset for the preset time period, the method further comprises:
and controlling the intelligent coffee machine to stop working within the preset time period.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: according to the embodiment, when the content of the caffeine is greater than a safety threshold preset for the preset time period, the intelligent coffee machine is controlled to stop working within the preset time period, so that the situation that a user continues to make drinking coffee within the preset time period and ingests the caffeine is avoided, and healthy diet of the user is guaranteed.
In one embodiment, the method further comprises:
receiving a drinking instruction of a user, wherein the drinking instruction of the user is used for indicating that the coffee drunk by the user occupies the proportion of the coffee made at this time;
the determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of the made coffee comprises:
and determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the coffee making.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: according to the embodiment, when a plurality of people use the intelligent coffee machine to make coffee, the content of caffeine ingested by the user in a preset time period is determined according to the proportion of the coffee drunk by the user to the coffee made at this time and the parameters of making the coffee each time, and the application scene is wide.
According to a second aspect of embodiments of the present disclosure, there is provided a data monitoring device of a coffee machine, comprising:
the monitoring module is used for monitoring the parameters of each coffee making in a preset time period;
the determining module is used for determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time;
and the output module is used for outputting prompt information when the caffeine content is greater than a safety threshold preset for the preset time period, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
In one embodiment, the parameters for each coffee-making include the type and content of each coffee-making; the preset time period includes a time period before a preset sleep time.
In one embodiment, the apparatus further comprises:
and the control module is used for controlling the intelligent coffee machine to stop working within the preset time period when the caffeine content is greater than a safety threshold preset for the preset time period.
In one embodiment, the apparatus further comprises:
the receiving module is used for receiving a drinking instruction of a user, wherein the drinking instruction of the user is used for indicating that the coffee drunk by the user occupies the proportion of the coffee made at this time;
the determining module includes:
and the determining submodule is used for determining the content of the caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the coffee making.
According to a third aspect of embodiments of the present disclosure, there is provided a data monitoring device of a coffee machine, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
monitoring parameters of each coffee making in a preset time period;
determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making;
and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer readable storage medium storing computer instructions which, when executed by a processor, implement the steps of:
monitoring parameters of each coffee making in a preset time period;
determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making;
and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flow chart illustrating a data monitoring method of a coffee maker according to an exemplary embodiment.
Fig. 2 is a flow chart illustrating a data monitoring method of a coffee maker according to an exemplary embodiment.
Fig. 3 is a flow chart illustrating a data monitoring method of a coffee maker according to an exemplary embodiment.
FIG. 4 is a block diagram illustrating a data monitoring device of a coffee maker according to an exemplary embodiment.
FIG. 5 is a block diagram illustrating a data monitoring device of a coffee maker according to an exemplary embodiment.
FIG. 6 is a block diagram illustrating a data monitoring device of a coffee maker according to an exemplary embodiment.
FIG. 7 is a block diagram illustrating a data monitoring device of a coffee maker according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flow chart illustrating a data monitoring method of a coffee machine according to an exemplary embodiment, which is used in a terminal or an intelligent coffee machine and the like, as shown in fig. 1, and includes the following steps 101 to 103:
in step 101, the parameters of each coffee making are monitored for a preset period of time.
In step 102, the caffeine content ingested by the user during the preset time period is determined according to the monitored parameters of each coffee making.
In step 103, when the caffeine content is greater than a safety threshold preset for the preset time period, a prompt message is output.
In one embodiment, the parameter of each coffee making process may be the content of coffee, the content of coffee may be the weight or volume of coffee, and the intelligent coffee maker may automatically count the content of coffee making process, so that the intelligent coffee maker may monitor the content of coffee in a preset time period, such as 0: 00-24: the content of coffee made each time in the time period of 00, when the embodiment is used for the terminal, the terminal can be bound with the intelligent coffee machine, so that the intelligent coffee machine can adjust the weight ratio of 0: 00-24: and sending the content of each coffee making monitored in the time period of 00 to the bound terminal. It should be noted that the content of each coffee making may also be input into the terminal or the intelligent coffee machine by the user, and the embodiment is not limited herein.
In an embodiment, the caffeine content in the coffee with a unit content is recorded in the terminal or the intelligent coffee machine, for example, the caffeine content in 1g of coffee is 2.5mg, and if it is monitored at 16:00 of the day that the content of each time coffee is made is 122g in total, it can be determined that the caffeine content ingested by the user in the day is 305mg, and the preset safety threshold of the ingestible caffeine content in the day is 300mg, 305mg is greater than 300mg, which indicates that the caffeine content ingested by the user in the day is already high, and at this time, for the physical health of the user, the terminal or the intelligent coffee machine can output a prompt message to prompt the user to drink coffee and pay attention to the physical health. For example, the terminal or the intelligent coffee machine can output the prompt information in a voice form, such as outputting voice, that the user has excessive caffeine intake in the current day and recommends not to drink coffee again, or outputting the prompt information in a ring mode, a vibration mode, a picture or character display mode and the like; or the intelligent coffee machine may send a prompt message to the server when it is determined that the caffeine content is greater than the safety threshold preset for the preset time period, and the server may forward the prompt message to the terminal of the user, and then the terminal of the user displays the prompt message to the user, where the output forms of the prompt message are various, which is not illustrated here.
According to the embodiment, the parameter of the made coffee can be monitored in the preset time period, and the content of the caffeine ingested by the user in the preset time period is further determined, so that when the content of the caffeine ingested by the user is too high and is greater than a safety threshold preset for the preset time period, prompt information is output, excessive caffeine ingested by the user is avoided, and healthy diet of the user is guaranteed.
In a possible embodiment, the parameters of the produced coffee comprise the type and content of the produced coffee; the preset time period includes a time period before a preset sleep time.
In one embodiment, the user may use a plurality of coffees, and in order to accurately determine the caffeine content of each coffee in the unit content, the intelligent coffee machine or the terminal needs to obtain the type and content of each coffee made in the preset time period, where the type of each coffee made may be inputted into the intelligent coffee machine or the terminal by the user. Meanwhile, the intelligent coffee machine or the terminal can store the caffeine content of each kind of coffee on the unit content, so that the intelligent coffee machine or the terminal can obtain the caffeine content ingested by the user in the preset time period according to the kind and the content of each time coffee is made in the preset time period.
In an embodiment, the preset time period may be a preset day, the intelligent coffee machine or the terminal may monitor the type and content of each time coffee is made every day in the day, obtain the content of caffeine taken by the user in the day, and output a prompt message when the content of caffeine taken by the user in the day is greater than a preset safety threshold value for each day, where the prompt message is used to prompt the user that the content of caffeine taken by the user in the day is excessive. Of course, the preset time period may also be preset for various time periods such as every hour and the like. In general, the ingestion of caffeine by a user before sleeping most likely affects the sleep quality, so the intelligent coffee machine or the terminal may set the monitored preset time period to a time period before the preset sleep time.
In one embodiment, in order to ensure the sleep quality of the user, the user may preset a sleep time, for example, 22:00 pm, at which the preset time period may be within a time period of 18:00 to 22:00 four hours before 22:00 pm, so that the intelligent coffee machine or the terminal may monitor the parameters of each coffee making during the time period of 18:00 to 22:00 every day, and determine the caffeine content ingested by the user during the preset time period according to the monitored parameters of each coffee making; if the content of caffeine corresponding to the parameter accumulated value of each time of making coffee is monitored to be 32g at 19:00 and is greater than 30g of a safety threshold preset for the time period from 18:00 to 22:00, the terminal or the intelligent coffee machine can output prompt information to prompt a user to drink coffee and guarantee sleep quality.
The embodiment can determine the content of the caffeine ingested by the user according to the type and the content of the coffee made each time, so that the determined content of the caffeine ingested by the user is more accurate, the user is prevented from ingesting a large amount of caffeine accurately, and the user is guaranteed to drink healthily; in addition, parameters of making coffee each time in a time period before the preset sleep time can be monitored, the content of caffeine ingested by the user in the time period before the preset sleep time is further determined, and when the content of the caffeine is larger than a safety threshold value aiming at the time period before the sleep time, prompt information is output to remind the user not to continue drinking coffee, so that the sleep quality of the user is guaranteed.
In the disclosed embodiment, referring to fig. 2, fig. 2 is a flowchart illustrating a data monitoring method of a coffee machine according to an exemplary embodiment, and as shown in fig. 2, when the caffeine content is greater than a safety threshold preset for the preset time period, the data monitoring method of the coffee machine further includes step 104.
In step 104, the coffee maker is controlled to stop operating for a preset period of time.
In an embodiment, after the terminal or the intelligent coffee machine determines that the content of caffeine taken by the user in the preset time period is greater than a preset safety threshold value for the preset time period and outputs the prompt message, the terminal or the intelligent coffee machine can also forcibly control the intelligent coffee machine to stop working in the preset time period, so that the situation that the user continues to make drinking coffee and takes caffeine in the preset time period is avoided.
According to the embodiment, when the content of the caffeine is greater than a safety threshold preset for the preset time period, the intelligent coffee machine is controlled to stop working within the preset time period, so that the situation that a user continues to make drinking coffee within the preset time period and ingests the caffeine is avoided, and healthy diet of the user is guaranteed.
In the disclosed embodiment, referring to fig. 3, fig. 3 is a flowchart illustrating a data monitoring method of a coffee machine according to an exemplary embodiment, as shown in fig. 3, the data monitoring method of the coffee machine further includes step 105, and step 102 of the data monitoring method of the coffee machine can be further implemented as step 1021.
In step 105, a user drinking instruction is received, wherein the user drinking instruction is used for indicating that the coffee drunk by the user at this time occupies the proportion of the coffee made at this time.
In step 1021, determining the content of caffeine ingested by the user within the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user in the making coffee this time.
In an embodiment, the intelligent coffee machine may be used by multiple persons, at this time, in order to determine the content of coffee drunk by the user, the user may input, in the terminal, a proportion, such as 1/2, 1/3 and the like, of the coffee drunk by the user to the coffee made this time after the user drinks the coffee made this time, so that the terminal may obtain a user drinking instruction input by the user, then the terminal may determine the content of coffee drunk by the user each time according to the monitored parameter for making coffee each time and the proportion of the coffee drunk by the user each time to the coffee made this time, then determine the content of caffeine drunk by the user each time according to the content of caffeine in unit content in the coffee made each time, further determine the content of caffeine drunk by the user within a preset time period, and when the content of caffeine drunk by the user within the preset time period exceeds a safety threshold, and (5) reminding the user.
According to the embodiment, when a plurality of people use the intelligent coffee machine to make coffee, the content of caffeine ingested by the user in a preset time period is determined according to the proportion of the coffee drunk by the user to the coffee made at this time and the parameters of making the coffee each time, and the application scene is wide.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
FIG. 4 is a block diagram illustrating a data monitoring apparatus of a coffee machine, which may be implemented as part or all of an electronic device, in software, hardware, or a combination of both, according to an exemplary embodiment. As shown in fig. 4, the data monitoring device of the coffee maker comprises: a monitoring module 401, a determining module 402 and an output module 403; wherein:
a monitoring module 401, configured to monitor a parameter of each coffee making within a preset time period;
a determining module 402, configured to determine, according to the monitored parameter of each coffee making, a caffeine content ingested by the user within the preset time period;
an output module 403, configured to output a prompt message when the caffeine content is greater than a safety threshold preset for the preset time period, where the prompt message is used to prompt a user that the caffeine content ingested by the user is excessive.
As a possible embodiment, in the data monitoring device of the coffee maker disclosed above, the parameters of each coffee making include the type and content of each coffee making; the preset time period includes a time period before a preset sleep time.
As a possible embodiment, the data monitoring device of the coffee machine disclosed above may also be configured to include a control module 404, fig. 5 is a block diagram of the data monitoring device relating to the coffee machine described above, wherein:
and the control module 404 is configured to control the intelligent coffee machine to stop working within the preset time period when the caffeine content is greater than a preset safety threshold for the preset time period.
As a possible embodiment, the data monitoring device of the coffee machine disclosed above may also be configured to include a receiving module 405, the determining module 402 is configured to include a determining sub-module 4021, fig. 6 is a block diagram of the data monitoring device relating to the coffee machine described above, wherein:
a receiving module 405, configured to receive a user drinking instruction, where the user drinking instruction is used to indicate that the coffee drunk by the user occupies a proportion of the coffee made at this time;
the determining sub-module 4021 is configured to determine the content of caffeine ingested by the user in the preset time period according to the monitored parameter of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the making coffee.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 7 is a block diagram illustrating a data monitoring apparatus of a coffee machine, which is suitable for a terminal device or an intelligent coffee machine according to an exemplary embodiment. For example, the apparatus 700 may be a mobile phone, a game console, a computer, a tablet device, a personal digital assistant, and the like.
The apparatus 700 may include one or more of the following components: processing components 701, memory 702, power components 703, multimedia components 704, audio components 705, input/output (I/O) interfaces 706, sensor components 707, and communication components 708.
The processing component 701 generally controls the overall operation of the device 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 701 may include one or more processors 720 to execute instructions to perform all or a portion of the steps of the methods described above. Further, processing component 701 may include one or more modules that facilitate interaction between processing component 701 and other components. For example, the processing component 701 may include a multimedia module to facilitate interaction between the multimedia component 704 and the processing component 701.
The memory 702 is configured to store various types of data to support operations at the apparatus 700. Examples of such data include instructions for any application or method operating on device 700, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 702 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 703 provides power to the various components of the device 700. The power components 703 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 700.
The multimedia component 704 includes a screen that provides an output interface between the device 700 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 704 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 700 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 705 is configured to output and/or input audio signals. For example, audio component 705 includes a Microphone (MIC) configured to receive external audio signals when apparatus 700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 702 or transmitted via the communication component 708. In some embodiments, audio component 705 also includes a speaker for outputting audio signals.
The I/O interface 706 provides an interface between the processing component 701 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 707 includes one or more sensors for providing various aspects of state assessment for the apparatus 700. For example, sensor assembly 707 may detect an open/closed state of apparatus 700, the relative positioning of components, such as a display and keypad of apparatus 700, the change in position of apparatus 700 or a component of apparatus 700, the presence or absence of user contact with apparatus 700, the orientation or acceleration/deceleration of apparatus 700, and the change in temperature of apparatus 700. The sensor assembly 707 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 707 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 707 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 708 is configured to facilitate communication between the apparatus 700 and other devices in a wired or wireless manner. The apparatus 700 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 708 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 708 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 702 comprising instructions, executable by the processor 720 of the apparatus 700 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present embodiments also provide a computer readable storage medium storing computer instructions that, when executed by a processor, implement the steps of:
monitoring parameters of each coffee making in a preset time period;
determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making;
and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
The computer instructions when executed by a processor implement the steps of:
the parameters of each coffee making include the type and content of each coffee making.
The computer instructions when executed by a processor implement the steps of:
the preset time period includes a time period before a preset sleep time.
The computer instructions when executed by a processor implement the steps of:
when the caffeine content is greater than a safety threshold preset for the preset time period, the method further comprises:
and controlling the intelligent coffee machine to stop working within the preset time period.
The computer instructions when executed by a processor implement the steps of:
the method further comprises the following steps:
receiving a drinking instruction of a user, wherein the drinking instruction of the user is used for indicating that the coffee drunk by the user occupies the proportion of the coffee made at this time;
the determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of the made coffee comprises:
and determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the coffee making.
The embodiment also provides a data monitoring device of a coffee machine, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
monitoring parameters of each coffee making in a preset time period;
determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making;
and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
The processor may be further configured to:
the parameters of each coffee making include the type and content of each coffee making.
The processor may be further configured to:
the preset time period includes a time period before a preset sleep time.
The processor may be further configured to:
when the caffeine content is greater than a safety threshold preset for the preset time period, the method further comprises:
and controlling the intelligent coffee machine to stop working within the preset time period.
The processor may be further configured to:
the method further comprises the following steps:
receiving a drinking instruction of a user, wherein the drinking instruction of the user is used for indicating that the coffee drunk by the user occupies the proportion of the coffee made at this time;
the determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of the made coffee comprises:
and determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the coffee making.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. A data monitoring method of an intelligent coffee machine is characterized by comprising the following steps:
monitoring parameters of each coffee making in a preset time period;
when a plurality of people use the intelligent coffee machine, receiving a user drinking instruction input by a user, wherein the user drinking instruction is used for indicating that the coffee drunk by the user occupies the proportion of the coffee made at this time;
determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making; the step of determining the caffeine content ingested by the user in the preset time period according to the monitored parameters of each coffee making includes: determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the making coffee;
and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
2. The method according to claim 1, wherein the parameters for each coffee-making include the type and content of each coffee-making; the preset time period includes a time period before a preset sleep time.
3. The method according to claim 1, characterized in that when the caffeine content is greater than a safety threshold preset for the preset time period, the method further comprises:
and controlling the intelligent coffee machine to stop working within the preset time period.
4. A data monitoring device of an intelligent coffee machine is characterized by comprising:
the monitoring module is used for monitoring the parameters of each coffee making in a preset time period;
the receiving module is used for receiving a user drinking instruction input by a user when a plurality of people use the intelligent coffee machine, wherein the user drinking instruction is used for indicating the proportion of the coffee drunk by the user to the coffee made at this time;
the determining module is used for determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time; the determining module includes: the determining submodule is used for determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the coffee making;
and the output module is used for outputting prompt information when the caffeine content is greater than a safety threshold preset for the preset time period, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
5. The apparatus of claim 4, wherein the parameters for each coffee-making include a type and content of each coffee-making, and the preset time period comprises a time period before a preset sleep time.
6. The apparatus of claim 4, further comprising:
and the control module is used for controlling the intelligent coffee machine to stop working within the preset time period when the caffeine content is greater than a safety threshold preset for the preset time period.
7. A data monitoring device of an intelligent coffee machine is characterized by comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
monitoring parameters of each coffee making in a preset time period;
when a plurality of people use the intelligent coffee machine, receiving a user drinking instruction input by a user, wherein the user drinking instruction is used for indicating that the coffee drunk by the user occupies the proportion of the coffee made at this time;
determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making; the step of determining the caffeine content ingested by the user in the preset time period according to the monitored parameters of each coffee making includes: determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the making coffee;
and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
8. A computer readable storage medium storing computer instructions, wherein the computer instructions when executed by a processor implement the steps of:
monitoring parameters of each coffee making in a preset time period;
when a plurality of people use the intelligent coffee machine, receiving a user drinking instruction input by a user, wherein the user drinking instruction is used for indicating that the coffee drunk by the user occupies the proportion of the coffee made at this time;
determining the caffeine content ingested by the user within the preset time period according to the monitored parameters of each coffee making; the step of determining the caffeine content ingested by the user in the preset time period according to the monitored parameters of each coffee making includes: determining the content of caffeine ingested by the user in the preset time period according to the monitored parameters of making coffee each time and the proportion of the coffee drunk by the user each time in the preset time period to the making coffee;
and when the caffeine content is greater than a safety threshold preset for the preset time period, outputting prompt information, wherein the prompt information is used for prompting that the caffeine content ingested by the user is excessive.
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| CN109938603A (en) * | 2019-04-25 | 2019-06-28 | 北京小米移动软件有限公司 | Drink preparation method, device and storage medium |
| CN111568192A (en) * | 2020-02-29 | 2020-08-25 | 佛山市云米电器科技有限公司 | Coffee brewing method, device and computer readable storage medium |
| CN111508585B (en) * | 2020-04-24 | 2022-07-15 | 珠海格力电器股份有限公司 | Diet recommendation method, device, storage medium and system |
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| CN106419546A (en) * | 2016-08-31 | 2017-02-22 | 绍兴联润五金制品有限公司 | Intelligent coffee machine based on WIFI remote control and control system |
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| US9907473B2 (en) * | 2015-04-03 | 2018-03-06 | Koninklijke Philips N.V. | Personal monitoring system |
| CN104433632A (en) * | 2014-12-25 | 2015-03-25 | 贵阳裕生万信息技术有限公司 | Intelligent coffee cup |
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