CN113915943A - Refrigerator and prompt message generation method - Google Patents
Refrigerator and prompt message generation method Download PDFInfo
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- CN113915943A CN113915943A CN202110514801.XA CN202110514801A CN113915943A CN 113915943 A CN113915943 A CN 113915943A CN 202110514801 A CN202110514801 A CN 202110514801A CN 113915943 A CN113915943 A CN 113915943A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000036541 health Effects 0.000 claims abstract description 240
- 230000002159 abnormal effect Effects 0.000 claims abstract description 25
- 238000012545 processing Methods 0.000 claims abstract description 17
- 230000037081 physical activity Effects 0.000 claims description 36
- 230000006698 induction Effects 0.000 claims description 32
- 230000005856 abnormality Effects 0.000 claims description 21
- 230000000694 effects Effects 0.000 claims description 19
- 238000012544 monitoring process Methods 0.000 claims description 12
- 238000013102 re-test Methods 0.000 claims description 12
- 238000012217 deletion Methods 0.000 claims description 6
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- 238000004891 communication Methods 0.000 description 11
- 230000006872 improvement Effects 0.000 description 9
- 230000000875 corresponding effect Effects 0.000 description 4
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/003—Arrangement or mounting of control or safety devices for movable devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D23/00—General constructional features
- F25D23/12—Arrangements of compartments additional to cooling compartments; Combinations of refrigerators with other equipment, e.g. stove
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2400/00—General features of, or devices for refrigerators, cold rooms, ice-boxes, or for cooling or freezing apparatus not covered by any other subclass
- F25D2400/36—Visual displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2600/00—Control issues
- F25D2600/06—Controlling according to a predetermined profile
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2700/00—Means for sensing or measuring; Sensors therefor
- F25D2700/04—Sensors detecting the presence of a person
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Abstract
The invention discloses a refrigerator, comprising: a cabinet having at least one storage chamber therein; the box door is arranged at the opening of the storage room; the display screen is arranged on the box body or the box door and is used for displaying data abnormity prompt information; the controller is configured to: the method comprises the steps of obtaining health data to be processed by responding to health data recording operation, comparing the health data to be processed with historical health data stored in a refrigerator in advance to obtain a data comparison result, and generating data abnormity prompt information on a display screen of the refrigerator when the data comparison result is that the health data to be processed is abnormal so that a user can perform data processing operation according to the data abnormity prompt information. The invention also discloses a prompt message generation method. By adopting the embodiment of the invention, the accuracy of the acquired health data to be processed is detected for the reference of the user, so that the reliability of the health data to be processed stored in the refrigerator is improved.
Description
Technical Field
The invention relates to the technical field of refrigerators, in particular to a refrigerator and a prompt message generation method.
Background
Along with the improvement of the living standard of people, the attention of the majority of users to health is also improved, and in order to better record the health data of the users and analyze the user data, the function of interconnection of health equipment is gradually increased in the refrigerator products at present. However, in the actual use process, even if a qualified manufacturer is selected for the interconnection equipment, the quality of the equipment detection is guaranteed, the detection data finally presented on the display screen of the refrigerator cannot reflect the real data of the user, and related technical means are not adopted in the prior art to guarantee the reliability of the health data recorded by the refrigerator.
Disclosure of Invention
The embodiment of the invention aims to provide a refrigerator and a prompt message generation method, which can be used for accurately detecting the acquired health data for a user to refer to, so that the reliability of the health data stored in the refrigerator is improved.
To achieve the above object, an embodiment of the present invention provides a refrigerator, including:
a cabinet having at least one storage chamber therein;
the door is arranged at the opening of the storage chamber;
the display screen is arranged on the box body or the box door and is used for displaying data abnormity prompt information;
the controller is configured to:
responding to the health data recording operation, and acquiring health data to be processed; the health data to be processed is health data of a user obtained by real-time monitoring of health equipment in real time;
comparing the health data to be processed with pre-stored historical health data to obtain a data comparison result;
when the data comparison result is that the health data to be processed is abnormal, generating the data abnormality prompt information on the display screen so that a user executes data processing operation according to the data abnormality prompt information; wherein the data processing operation is a storage operation or a deletion operation.
As an improvement of the above scheme, the refrigerator further comprises a human body induction sensor, wherein the human body induction sensor is arranged on the refrigerator body or the refrigerator door and is used for detecting the activity amplitude of a human body;
the controller is further configured to:
acquiring the human body activity amplitude monitored by the human body induction sensor;
and when the human body activity amplitude is larger than the preset amplitude, generating amplitude abnormity prompt information on the display screen.
As an improvement of the above, after the display screen generates the data abnormality prompt message, the controller is further configured to:
generating a storage label and a retest label on the display screen for a user to select the labels;
when the saving label is selected, saving the health data to be processed;
and when the retest tag is selected, new health data to be processed is obtained again.
As an improvement of the above scheme, the comparing the to-be-processed health data with the historical health data to obtain a data comparison result specifically includes:
generating a health data normal range according to historical health data;
comparing the health data to be processed with the normal range of the health data to obtain a data comparison result;
when the health data to be processed fall within the normal range of the health data, the data comparison result is that the health data to be processed is normal;
and when the health data to be processed does not fall within the normal range of the health data, the data comparison result is that the health data to be processed is abnormal.
As an improvement of the above, prior to the acquiring the health data to be processed, the controller is further configured to:
and reducing the running frequency of the compressor in the refrigerator.
As an improvement of the above scheme, the human body induction sensor includes at least one of an infrared human body induction sensor or a microwave human body induction sensor.
As an improvement of the above, the controller is further configured to:
and uploading the stored health data to be processed to a cloud.
The embodiment of the invention also provides a prompt message generation method, which is characterized in that the method is suitable for a refrigerator and comprises the following steps:
responding to the health data recording operation, and acquiring health data to be processed; the health data to be processed is health data of a user obtained by real-time monitoring of health equipment in real time;
comparing the health data to be processed with pre-stored historical health data to obtain a data comparison result;
when the data comparison result is that the health data to be processed is abnormal, generating data abnormality prompt information on a display screen in the refrigerator so that a user executes data processing operation according to the data abnormality prompt information; wherein the data processing operation is a storage operation or a deletion operation.
As an improvement of the above scheme, the method further comprises the following steps:
acquiring the activity amplitude of a human body monitored by a human body induction sensor arranged on the refrigerator;
and when the human body activity amplitude is larger than the preset amplitude, generating amplitude abnormity prompt information on the display screen.
As an improvement of the above solution, after the display screen in the refrigerator generates the data abnormality prompt information, the method further includes:
generating a storage label and a retest label on the display screen for a user to select the labels;
when the saving label is selected, saving the health data to be processed;
and when the retest tag is selected, new health data to be processed is obtained again.
Compared with the prior art, the refrigerator and the prompt information generation method in the embodiment of the invention obtain the health data to be processed by responding to the health data recording operation, obtain the data comparison result by comparing the health data to be processed with the historical health data stored in the refrigerator in advance, and generate the data abnormity prompt information on the display screen of the refrigerator when the data comparison result is that the health data to be processed is abnormal, so that a user executes the data processing operation according to the data abnormity prompt information. According to the refrigerator and the prompt information generation method disclosed by the invention, health data to be processed are compared with historical health data stored in the refrigerator in advance in the refrigerator, the reliability of the data is judged according to the comparison result, and the abnormal data prompt information is generated on the display screen of the refrigerator when the data are unreliable, so that reference is provided for a user to store the health data to be processed, and the reliability of the health data stored in the refrigerator is improved.
Drawings
Fig. 1 is a flowchart illustrating an operation of a controller in a refrigerator according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a prompt information generating system according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for generating a prompt message according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating an operation of a controller in a refrigerator according to an embodiment of the present invention, the refrigerator including:
a cabinet having at least one storage chamber therein;
the door is arranged at the opening of the storage chamber;
the display screen is arranged on the box body or the box door and is used for displaying data abnormity prompt information;
the controller is configured to:
s11, responding to the health data recording operation, and acquiring health data to be processed; the health data to be processed is health data of a user obtained by real-time monitoring of health equipment in real time;
s12, comparing the health data to be processed with pre-stored historical health data to obtain a data comparison result;
s13, when the data comparison result is that the health data to be processed is abnormal, generating the data abnormality prompt information on the display screen so that a user can execute data processing operation according to the data abnormality prompt information; wherein the data processing operation is a storage operation or a deletion operation.
The refrigerator provided by the embodiment of the invention can be used for normally refrigerating and storing food, and is also interconnected with health equipment to record health data of a user.
Specifically, in response to the health data recording operation, to-be-processed health data obtained by real-time monitoring of health equipment worn by a user is acquired in real time through Bluetooth.
Exemplarily, the health equipment is set to be a pulse indicator, and the health data to be processed is pulse data; the controller responds to the health data recording operation and obtains pulse data to be processed, which is obtained by monitoring the finger pulse instrument worn by the user in real time, through Bluetooth in real time.
It should be noted that the type of the health device is not limited to the above pulse indicator, the type of the health data to be processed is not limited to the above pulse data, the communication mode between the health device and the refrigerator is not limited to bluetooth communication, and the specific type of the health device, the type of the data to be processed, and the communication mode may be set according to actual situations.
Furthermore, the refrigerator also comprises a human body induction sensor which is arranged on the refrigerator body or the refrigerator door and used for detecting the activity amplitude of a human body;
the controller is further configured to:
s111, acquiring the human body activity amplitude monitored by the human body induction sensor;
and S112, when the human body activity amplitude is larger than a preset amplitude, generating an amplitude abnormity prompt message on the display screen.
Illustratively, the preset amplitude is set to be 150 degrees, the human body activity amplitude is a user arm swing amplitude, and before acquiring the health data to be processed, the controller is further configured to: the method comprises the steps of acquiring the swing amplitude of the user arm monitored by the human body induction sensor in real time, and generating amplitude abnormity prompt information on a display screen when the acquired swing amplitude of the user arm is 180 degrees. Further, the preset amplitude is set to be 2 times per second, the human body activity amplitude is the swing frequency of the user arm, the swing condition of the user arm monitored by the human body induction sensor is obtained in real time, the swing frequency of the user arm is calculated, and when the obtained swing frequency of the user arm is 5 times per second, amplitude abnormity prompt information is generated on a display screen. The physical signs of the user can be influenced by the activity condition of the user, when the user is in strenuous exercise, the pulse of the user can be accelerated correspondingly, and the obtained pulse data can be larger, so that the activity condition of the user can be monitored by acquiring the activity amplitude of the human body monitored by the human body induction sensor, and when the user is in strenuous exercise, corresponding prompt information is given, so that the user can process the health data to be processed according to the corresponding prompt information, and the reliability of the data stored in the refrigerator is improved.
It should be noted that the type and value of the human body activity amplitude and the type and value of the preset amplitude are not limited to the specific setting, and may be set according to actual situations. When the human body induction sensor is used for monitoring the human body activity amplitude, the human body induction sensor monitors the human body activity amplitude synchronously with the health equipment monitors the health data to be processed, but the controller does not limit the sequence between the acquisition of the health data to be processed and the acquisition of the human body activity amplitude, the comparison of the health data to be processed and the historical health data and the time sequence between the comparison of the human body activity amplitude and the preset amplitude are not limited, the comparison can be sequenced according to the actual situation, the time sequence between the generation of the data abnormity prompt information and the generation of the amplitude abnormity prompt information can be the generation of the data abnormity prompt information firstly, or the generation of the amplitude abnormity prompt information firstly, and the setting can be carried out according to the actual requirement.
Further, the human activity amplitude is correlated with the health data to be processed to ensure that the human activity amplitude and the health data to be processed correspond in time.
Further, after step S13, the controller is further configured to:
s14, generating a storage label and a retest label on the display screen for a user to select;
s15, when the saving label is selected, saving the health data to be processed;
and S16, when the retest tag is selected, acquiring new health data to be processed again.
It should be noted that, in the embodiment of the present invention, as long as the data comparison result is that the to-be-processed health data is abnormal or the human activity amplitude is greater than the preset amplitude, the controller executes steps S14 to S16.
In the first embodiment, when the data comparison result indicates that the data to be processed is normal, the steps S14 to S16 are executed; or, when the data comparison result is that the data to be processed is normal, the steps S14-S16 are not executed, and the health data to be processed is directly saved; or after step S13, that is, when the data comparison result is that the to-be-processed health data is abnormal, after the data abnormality prompt information is generated on the display screen, steps S14 to S16 are performed.
In the second embodiment, when the human body activity amplitude is less than or equal to the preset amplitude, the steps S14-S16 are executed; or when the human body activity amplitude is smaller than or equal to the preset amplitude, the steps S14-S16 are not executed, and the health data to be processed are directly stored; or, after the step S112, that is, when the human body activity amplitude is greater than the preset amplitude, after the amplitude abnormality prompting message is generated on the display screen, the steps S14 to S16 are performed.
In a third embodiment, when the data comparison result is that the data to be processed is normal and the human activity amplitude is less than or equal to a preset amplitude, performing steps S14-S16; or, when the data comparison result is that the data to be processed is normal and the human body activity amplitude is smaller than or equal to a preset amplitude, the step S14-S16 is not executed, and the health data to be processed is directly stored; or, after the display screen generates the data abnormity prompting information and the amplitude abnormity prompting information, executing the steps S14-S16; or, when the data comparison result is that the data to be processed is normal, after the display screen generates the prompt information of the abnormal amplitude, executing the steps S14-S16; or after the display screen generates the data abnormity prompting information, when the human body activity amplitude is smaller than or equal to a preset amplitude, executing the steps S14-S16.
It is worth mentioning that the user selects the label according to the data comparison result or the comparison result of the human body activity amplitude and the preset amplitude.
Specifically, step S12 includes steps S121 to S124:
s121, generating a health data normal range according to historical health data;
s122, comparing the health data to be processed with the normal range of the health data to obtain a data comparison result;
s123, when the health data to be processed fall within the normal range of the health data, the data comparison result is that the health data to be processed is normal;
and S124, when the to-be-processed health data does not fall within the normal range of the health data, determining that the to-be-processed health data is abnormal according to the data comparison result.
Illustratively, assuming that the historical health data is historical pulse data, the to-be-processed health data is to-be-processed pulse data, a specific operation rule for generating a normal range of the health data according to the historical health data is to take the historical pulse data of the last 6 days, take an average value, add 8 to the average value as an upper limit of the normal range of the health data, subtract 8 from the average value as a lower limit of the normal range of the health data, assume that the historical pulse data is 75, 74, 77, 79, 80, 74, and the unit is every minute, then the normal range of the health data is calculated to be 68.5-84.5, when the to-be-processed pulse data is 80, the data comparison result is that the to-be-processed health data is normal, and when the to-be-processed pulse data is 86, the data comparison result is that the to-be-processed health data is abnormal.
It should be noted that the historical health data, the health data to be processed, and the specific operation rule for generating the normal range of the health data according to the historical health data are not limited to the specific setting, and may be set according to actual requirements.
Further, before step S11, the controller is further configured to:
and S113, reducing the running frequency of the compressor in the refrigerator.
Illustratively, when the health equipment and the refrigerator are detected to be in Bluetooth communication connection, the running frequency of a compressor in the refrigerator is reduced, so that the compressor runs at the lowest frequency, the influence of the running of the compressor on the Bluetooth communication between the health equipment and the refrigerator is reduced, the error probability of the health data to be processed in the transmission process is reduced, and the accuracy of the health data to be processed obtained by the refrigerator is improved.
Optionally, the human body induction sensor includes at least one of an infrared human body induction sensor or a microwave human body induction sensor.
It should be noted that the human body induction sensor is not limited to the above specific sensor, and the sensor may be selected according to actual conditions.
Further, the controller is further configured to:
and S17, uploading the stored health data to be processed to a cloud.
For example, the to-be-processed health data is set as to-be-processed pulse data, and the stored to-be-processed pulse data is uploaded to the cloud, so that the user can download the stored to-be-processed pulse data from the cloud by using a terminal device, where the terminal device may be a mobile phone, a tablet, a laptop, or the like.
Referring to the prompt message generating system of fig. 2, when it is detected that the pulse indicator establishes a communication link with the refrigerator, the operating frequency of the compressor is reduced by the main control board; the health data to be processed of the finger pulse instrument are transmitted to the display screen for processing, after the health data to be processed are stored by a user, the health data to be processed are uploaded to the cloud, and the mobile phone APP can download the stored health data to be processed from the cloud.
Compared with the prior art, in the refrigerator according to the embodiment of the invention, the controller of the refrigerator acquires the health data to be processed by responding to the health data recording operation, the health data to be processed is compared with historical health data stored in the refrigerator in advance to obtain a data comparison result, and when the data comparison result is that the health data to be processed is abnormal, data abnormality prompt information is generated on a display screen of the refrigerator, so that a user executes data processing operation according to the data abnormality prompt information. According to the refrigerator and the prompt information generation method disclosed by the invention, health data to be processed are compared with historical health data stored in the refrigerator in advance in the refrigerator, the reliability of the data is judged according to the comparison result, and the abnormal data prompt information is generated on the display screen of the refrigerator when the data are unreliable, so that reference is provided for a user to store the health data to be processed, and the reliability of the health data stored in the refrigerator is improved.
Referring to fig. 3, fig. 3 is a flowchart of a method for generating a prompt message according to an embodiment of the present invention. The prompt message generation method is suitable for a refrigerator, and comprises the following steps:
s21, responding to the health data recording operation, and acquiring health data to be processed; the health data to be processed is health data of a user obtained by real-time monitoring of health equipment in real time;
s22, comparing the health data to be processed with pre-stored historical health data to obtain a data comparison result;
s23, when the data comparison result is that the health data to be processed are abnormal, generating data abnormality prompt information on a display screen in the refrigerator so that a user can execute data processing operation according to the data abnormality prompt information; wherein the data processing operation is a storage operation or a deletion operation.
Specifically, in response to the health data recording operation, to-be-processed health data obtained by real-time monitoring of health equipment worn by a user is acquired in real time through Bluetooth.
Exemplarily, the health equipment is set to be a pulse indicator, and the health data to be processed is pulse data; the controller responds to the health data recording operation and obtains pulse data to be processed, which is obtained by monitoring the finger pulse instrument worn by the user in real time, through Bluetooth in real time.
It should be noted that the type of the health device is not limited to the above pulse indicator, the type of the health data to be processed is not limited to the above pulse data, the communication mode between the health device and the refrigerator is not limited to bluetooth communication, and the specific type of the health device, the type of the data to be processed, and the communication mode may be set according to actual situations.
Further, the method also comprises steps S211 to S212:
s211, acquiring the activity amplitude of the human body monitored by a human body induction sensor arranged on the refrigerator;
and S212, when the human body activity amplitude is larger than a preset amplitude, generating an amplitude abnormity prompt message on the display screen.
Illustratively, the preset amplitude is set to be 150 degrees, the human body activity amplitude is a user arm swing amplitude, the user arm swing amplitude monitored by the human body induction sensor is acquired in real time before the health data to be processed is acquired, and when the acquired user arm swing amplitude is 180 degrees, amplitude abnormity prompt information is generated on the display screen. Further, the preset amplitude is set to be 2 times per second, the human body activity amplitude is the swing frequency of the user arm, the swing condition of the user arm monitored by the human body induction sensor is obtained in real time, the swing frequency of the user arm is calculated, and when the obtained swing frequency of the user arm is 5 times per second, amplitude abnormity prompt information is generated on a display screen. The physical signs of the user can be influenced by the activity condition of the user, when the user is in strenuous exercise, the pulse of the user can be accelerated correspondingly, and the obtained pulse data can be larger, so that the activity condition of the user can be monitored by acquiring the activity amplitude of the human body monitored by the human body induction sensor, and when the user is in strenuous exercise, corresponding prompt information is given, so that the user can process the health data to be processed according to the corresponding prompt information, and the reliability of the data stored in the refrigerator is improved.
It should be noted that the type and value of the human body activity amplitude and the type and value of the preset amplitude are not limited to the specific setting, and may be set according to actual situations. When the human body induction sensor is used for monitoring the human body activity amplitude, the human body induction sensor monitors the human body activity amplitude synchronously with the health equipment monitors the health data to be processed, but the controller does not limit the sequence between the acquisition of the health data to be processed and the acquisition of the human body activity amplitude, the comparison of the health data to be processed and the historical health data and the time sequence between the comparison of the human body activity amplitude and the preset amplitude are not limited, the comparison can be sequenced according to the actual situation, the time sequence between the generation of the data abnormity prompt information and the generation of the amplitude abnormity prompt information can be the generation of the data abnormity prompt information firstly, or the generation of the amplitude abnormity prompt information firstly, and the setting can be carried out according to the actual requirement.
Further, the human activity amplitude is correlated with the health data to be processed to ensure that the human activity amplitude and the health data to be processed correspond in time.
Further, steps S24 to S26 are included after step S23:
s24, generating a storage label and a retest label on the display screen for a user to select;
s25, when the saving label is selected, saving the health data to be processed;
and S26, when the retest tag is selected, acquiring new health data to be processed again.
It should be noted that, in the embodiment of the present invention, as long as the data comparison result is that the to-be-processed health data is abnormal or the human activity amplitude is greater than the preset amplitude, the controller executes steps S24 to S26.
In the first embodiment, when the data comparison result indicates that the data to be processed is normal, the steps S24 to S26 are executed; or, when the data comparison result is that the data to be processed is normal, the steps S14-S16 are not executed, and the health data to be processed is directly saved; or after step S23, that is, when the data comparison result is that the to-be-processed health data is abnormal, after the data abnormality prompt information is generated on the display screen, steps S24 to S26 are performed.
In the second embodiment, when the human body activity amplitude is less than or equal to the preset amplitude, the steps S24-S26 are executed; or when the human body activity amplitude is smaller than or equal to the preset amplitude, the steps S14-S16 are not executed, and the health data to be processed are directly stored; or, after the step S212, that is, when the human body activity amplitude is greater than the preset amplitude, after the amplitude abnormality prompting message is generated on the display screen, the steps S24 to S26 are performed.
In a third embodiment, when the data comparison result is that the data to be processed is normal and the human activity amplitude is less than or equal to a preset amplitude, performing steps S24-S26; or, when the data comparison result is that the data to be processed is normal and the human body activity amplitude is smaller than or equal to a preset amplitude, the step S14-S16 is not executed, and the health data to be processed is directly stored; after the display screen generates data abnormity prompt information and amplitude abnormity prompt information, executing steps S24-S26; or, when the data comparison result is that the data to be processed is normal, after the display screen generates the prompt information of the abnormal amplitude, executing the steps S24-S26; or after the display screen generates the data abnormity prompting information, when the human body activity amplitude is smaller than or equal to a preset amplitude, executing the steps S24-S26.
It is worth mentioning that the user selects the label according to the data comparison result or the comparison result of the human body activity amplitude and the preset amplitude.
Specifically, step S22 includes steps S221 to S224:
s221, generating a health data normal range according to historical health data;
s222, comparing the health data to be processed with the normal range of the health data to obtain a data comparison result;
s223, when the health data to be processed fall within the normal range of the health data, the data comparison result is that the health data to be processed is normal;
s224, when the health data to be processed does not fall within the normal range of the health data, the data comparison result is that the health data to be processed is abnormal.
Illustratively, assuming that the historical health data is historical pulse data, the to-be-processed health data is to-be-processed pulse data, a specific operation rule for generating a normal range of the health data according to the historical health data is to take the historical pulse data of the last 6 days, take an average value, add 8 to the average value as an upper limit of the normal range of the health data, subtract 8 from the average value as a lower limit of the normal range of the health data, assume that the historical pulse data is 75, 74, 77, 79, 80, 74, and the unit is every minute, then the normal range of the health data is calculated to be 68.5-84.5, when the to-be-processed pulse data is 80, the data comparison result is that the to-be-processed health data is normal, and when the to-be-processed pulse data is 86, the data comparison result is that the to-be-processed health data is abnormal.
It should be noted that the historical health data, the health data to be processed, and the specific operation rule for generating the normal range of the health data according to the historical health data are not limited to the specific setting, and may be set according to actual requirements.
Further, before step S21, step S213 is further included:
and S213, reducing the running frequency of the compressor in the refrigerator.
Illustratively, when the health equipment and the refrigerator are detected to be in Bluetooth communication connection, the running frequency of a compressor in the refrigerator is reduced, so that the compressor runs at the lowest frequency, the influence of the running of the compressor on the Bluetooth communication between the health equipment and the refrigerator is reduced, the error probability of the health data to be processed in the transmission process is reduced, and the accuracy of the health data to be processed obtained by the refrigerator is improved.
Optionally, the human body induction sensor includes at least one of an infrared human body induction sensor or a microwave human body induction sensor.
It should be noted that the human body induction sensor is not limited to the above specific sensor, and the sensor may be selected according to actual conditions.
Further, the method further includes step S27:
and S27, uploading the stored health data to be processed to a cloud.
For example, the to-be-processed health data is set as to-be-processed pulse data, and the stored to-be-processed pulse data is uploaded to the cloud, so that the user can download the stored to-be-processed pulse data from the cloud by using a terminal device, where the terminal device may be a mobile phone, a tablet, a laptop, or the like.
It should be noted that the above method is not only applicable to refrigerators, but also applicable to other apparatuses such as air conditioners, televisions, and the like.
Compared with the prior art, the prompt information generation method provided by the embodiment of the invention obtains the health data to be processed by responding to the health data recording operation, obtains the data comparison result by comparing the health data to be processed with the historical health data stored in the refrigerator in advance, and generates the data abnormity prompt information on the display screen of the refrigerator when the data comparison result is that the health data to be processed is abnormal, so that a user executes the data processing operation according to the data abnormity prompt information. According to the refrigerator and the prompt information generation method disclosed by the invention, health data to be processed are compared with historical health data stored in the refrigerator in advance in the refrigerator, the reliability of the data is judged according to the comparison result, and the abnormal data prompt information is generated on the display screen of the refrigerator when the data are unreliable, so that reference is provided for a user to store the health data to be processed, and the reliability of the health data stored in the refrigerator is improved.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A refrigerator, characterized by comprising:
a cabinet having at least one storage chamber therein;
the door is arranged at the opening of the storage chamber;
the display screen is arranged on the box body or the box door and is used for displaying data abnormity prompt information;
the controller is configured to:
responding to the health data recording operation, and acquiring health data to be processed; the health data to be processed is health data of a user obtained by real-time monitoring of health equipment in real time;
comparing the health data to be processed with pre-stored historical health data to obtain a data comparison result;
when the data comparison result is that the health data to be processed is abnormal, generating the data abnormality prompt information on the display screen so that a user executes data processing operation according to the data abnormality prompt information; wherein the data processing operation is a storage operation or a deletion operation.
2. The refrigerator according to claim 1, further comprising a human body induction sensor, the human body induction sensor is disposed on the refrigerator body or the refrigerator door, and is used for detecting a human body activity amplitude;
the controller is further configured to:
acquiring the human body activity amplitude monitored by the human body induction sensor;
and when the human body activity amplitude is larger than the preset amplitude, generating amplitude abnormity prompt information on the display screen.
3. The refrigerator of claim 1, wherein after the display screen generates the data anomaly prompting message, the controller is further configured to:
generating a storage label and a retest label on the display screen for a user to select the labels;
when the saving label is selected, saving the health data to be processed;
and when the retest tag is selected, new health data to be processed is obtained again.
4. The refrigerator according to claim 1, wherein the comparing the health data to be processed with the historical health data to obtain a data comparison result specifically comprises:
generating a health data normal range according to historical health data;
comparing the health data to be processed with the normal range of the health data to obtain a data comparison result;
when the health data to be processed fall within the normal range of the health data, the data comparison result is that the health data to be processed is normal;
and when the health data to be processed does not fall within the normal range of the health data, the data comparison result is that the health data to be processed is abnormal.
5. The refrigerator of claim 1, wherein prior to the obtaining the pending health data, the controller is further configured to:
and reducing the running frequency of the compressor in the refrigerator.
6. The refrigerator of claim 2, wherein the body-sensing sensor comprises at least one of an infrared body-sensing sensor or a microwave body-sensing sensor.
7. The refrigerator of claim 3, wherein the controller is further configured to:
and uploading the stored health data to be processed to a cloud.
8. A prompt message generation method is characterized by being suitable for a refrigerator and comprising the following steps:
responding to the health data recording operation, and acquiring health data to be processed; the health data to be processed is health data of a user obtained by real-time monitoring of health equipment in real time;
comparing the health data to be processed with pre-stored historical health data to obtain a data comparison result;
when the data comparison result is that the health data to be processed is abnormal, generating data abnormality prompt information on a display screen in the refrigerator so that a user executes data processing operation according to the data abnormality prompt information; wherein the data processing operation is a storage operation or a deletion operation.
9. The tip information generating method according to claim 8, further comprising:
acquiring the activity amplitude of a human body monitored by a human body induction sensor arranged on the refrigerator;
and when the human body activity amplitude is larger than the preset amplitude, generating amplitude abnormity prompt information on the display screen.
10. The method of generating a prompt message according to claim 8, wherein after the generating of the prompt message for data abnormality on the display screen in the refrigerator, further comprises:
generating a storage label and a retest label on the display screen for a user to select the labels;
when the saving label is selected, saving the health data to be processed;
and when the retest tag is selected, new health data to be processed is obtained again.
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Application publication date: 20220111 |