CN109933294A - Data processing method, device, wearable device and storage medium - Google Patents
Data processing method, device, wearable device and storage medium Download PDFInfo
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Abstract
The invention discloses a kind of data processing method, device, wearable device and storage mediums, this method comprises: when receiving the reported data that wearable device sensor reports, judge the reported data whether be intrinsic frequency attribute data；If the reported data be intrinsic frequency attribute data, judge the reported data whether headed by data；If data headed by the reported data, it is determined that the storage mode of the head data is the first storage mode；If the reported data is non-first data, it is determined that the storage mode of the non-first data is the second storage mode.The present invention solves existing wearable device and intrinsic frequency data is reported to store the technical issues of reported data occupies excessive memory space, causes the waste of resource to fixed storage mode in terminal procedures.
Description
Technical field
The present invention relates to wearable device technical field more particularly to a kind of data processing method, device, wearable devices
And storage medium.
Background technique
Currently, the interaction of data is more and more frequent between wearable device and terminal, for example, the sensing on wearable device
The step counting data that device detects, the data of the intrinsic frequencies attribute such as heart rate data, usually by wearable device in fixed frequency
Terminal is offered, so that user checks, step counting data, the fixed frequencies data such as heart rate data are reported to terminal mistake by wearable device
Cheng Zhong, it is often necessary to temporarily data to be reported are stored and are reported again, if sensor reports frequency on wearable device
It is reported once for 1s, then will store within wearable device 1 hour and is reported to 3600 data of terminal, wherein rate of uniting as one data
It should include at least the attributes such as timestamp (timeTick), data (value), currently, the storage form for rate data of uniting as one are as follows:
TimeTick1value1, timeTick2value2...timeTickN valueN mode, wherein data (value) i.e. heart rate
The char type that value can occupy 2 bytes with one stores, and a timestamp needs the long offset of 8 bytes of an occupancy
Storage, thus, the mode of existing wearable device fixed storage reported data causes wearable device usually to be accounted for by mass data
With big quantity space, the waste of resource is caused.
Summary of the invention
The main purpose of the present invention is to provide a kind of data processing method, device, wearable device and storage medium, purports
Intrinsic frequency data are reported to store reported data occupancy to fixed storage mode in terminal procedures solving existing wearable device
Excessive memory space, the technical issues of causing the waste of resource.
To achieve the above object, the embodiment of the present invention provides a kind of data processing method, the data processing method application
In wearable device, the data processing method includes:
When receiving the reported data that wearable device sensor reports, judge whether the reported data is intrinsic frequency
The data of rate attribute；
If the reported data be intrinsic frequency attribute data, judge the reported data whether headed by data；
If data headed by the reported data, it is determined that the storage mode of the head data is the first storage mode；
If the reported data is non-first data, it is determined that the storage mode of the non-first data is the second storage side
Formula.
Optionally, if data headed by the reported data, it is determined that the storage mode of the head data is the
One storage mode step includes:
If data headed by the reported data, obtain the first time stamp of the first data, first report frequency,
First data bulk counts and the content of first data；
First time stamp, described first are reported into frequency, first data bulk counting and the first item number
According to content be ranked up storage according to the first preset order, obtain the first ordering store data.
Optionally, if the reported data is non-first data, it is determined that the storage mode of the non-first data
Include: for the second storage mode step
If the reported data is non-first data, obtain the second timestamp of the non-first data, determine described in
The difference of the third timestamp of the previous data of second timestamp and the non-first data whether more than one report cycle；
If the difference of the third timestamp of the previous data of second timestamp and the non-first data is more than one
A report cycle, it is determined that the storage mode of the non-first data is the first sub- storage mode in the second storage mode；
If the difference of second timestamp and the third timestamp of the previous data of the non-first data is less than
One report cycle, it is determined that the storage mode of the non-first data is the second sub- storage mode in the second storage mode.
Optionally, if second timestamp and the third timestamp of the previous data of the non-first data
Difference is less than a report cycle, it is determined that the storage mode of the non-first data is the second son in the second storage mode
Storage mode step includes:
If the difference of second timestamp and the third timestamp of the previous data of the non-first data is less than
One report cycle then reports frequency and second timestamp to obtain the corresponding mesh of the non-first data according to described first
Mark counts；
It updates the first data bulk in first ordering store data according to the object count to count, and will be described
The non-first data content of non-head data is added in first ordering store data, obtains the second ordering store data.
Optionally, described and the non-first data content of non-first data is added to first ordering store data
In, obtaining the second ordering store data step includes:
The non-first data content of non-first data is added in first ordering store data, the second sequence is obtained
Storing data；
Wherein, the priority of the non-first data content is minimum.
Optionally, if second timestamp and the third timestamp of the previous data of the non-first data
Difference is more than a report cycle, it is determined that the storage mode of the non-first data is that the first son in the second storage mode is deposited
Storage mode step includes:
If the difference of the third timestamp of the previous data of second timestamp and the non-first data is more than one
A report cycle, then obtain the second timestamp of the non-first data, second report frequency, the second data bulk count and
The content of non-head data；
Second timestamp, second are reported in frequency, the counting of the second data bulk and the non-first data
Hold and be ranked up storage according to the second preset order, obtains third ordering store data.
Optionally, described when receiving the reported data that wearable device sensor reports, judge the reported data
It whether is that the data step of intrinsic frequency attribute includes:
When receiving the reported data that wearable device sensor reports, the type of the reported data is obtained；
If the type of the reported data is the heart rate data that heart rate sensor reports, determine that the reported data is solid
There are the data of frequency attribute.
The present invention also provides a kind of data processing equipment, the data processing equipment includes:
Receiving module, for when receiving the reported data that wearable device sensor reports, judging the upper count off
According to whether be intrinsic frequency attribute data；
Judgment module judges that the reported data is if being the data of intrinsic frequency attribute for the reported data
Data headed by no；
First determining module, if for data headed by the reported data, it is determined that the storage side of the head data
Formula is the first storage mode；
Second determining module, if being non-first data for the reported data, it is determined that the non-first data is deposited
Storage mode is the second storage mode.
The present invention also provides a kind of wearable device, the wearable device includes: memory, processor and is stored in institute
The data processor that can be run on memory and on the processor is stated, the data processor is held by the processor
It realizes when row such as the step of above-mentioned data processing method.
The present invention also provides a kind of storage medium, it is stored with data processor on the storage medium, at the data
Reason program is realized when being executed by processor such as the step of above-mentioned data processing method.
The present invention when receiving the reported data that wearable device sensor reports, judge the reported data whether be
The data of intrinsic frequency attribute；If the reported data is the data of intrinsic frequency attribute, whether the reported data is judged
Headed by data；If data headed by the reported data, it is determined that the storage mode of the head data is the first storage side
Formula；If the reported data is non-first data, it is determined that the storage mode of the non-first data is the second storage mode.?
It is no longer the storage that data are carried out according to intrinsic storage mode when receiving the data of intrinsic frequency attribute in the application,
But according to reported data whether headed by data, take different storage modes, data headed by the even described reported data,
The storage mode for then determining the first data is the first storage mode；If the reported data is non-first data, it is determined that
The storage mode of the non-first data is the second storage mode, causes storing data to occupy because of intrinsic storage mode to reduce
Excessive memory space, the phenomenon that in turn resulting in the waste of resource, thus, present application addresses existing wearable devices to report inherently
Frequency data store reported data to fixed storage mode in terminal procedures and occupy excessive memory space, cause the waste of resource
Technical problem.
Detailed description of the invention
Fig. 1 is a kind of hardware structural diagram of embodiment of wearable device provided in an embodiment of the present invention；
Fig. 2 is a kind of hardware schematic of embodiment of wearable device provided by the embodiments of the present application；
Fig. 3 is a kind of hardware schematic of embodiment of wearable device provided by the embodiments of the present application；
Fig. 4 is a kind of hardware schematic of embodiment of wearable device provided by the embodiments of the present application；
Fig. 5 is a kind of hardware schematic of embodiment of wearable device provided by the embodiments of the present application；
Fig. 6 is the flow diagram of one embodiment of data processing method of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
The wearable device provided in the embodiment of the present invention includes that Intelligent bracelet, smartwatch and smart phone etc. move
Dynamic terminal.With the continuous development of Screen Technology, the appearance of the screens form such as flexible screen, Folding screen, smart phone etc. is mobile eventually
End can also be used as wearable device.The wearable device provided in the embodiment of the present invention may include: RF (Radio
Frequency, radio frequency) unit, WiFi module, audio output unit, A/V (audio/video) input unit, sensor, display
The components such as unit, user input unit, interface unit, memory, processor and power supply.
It will be illustrated by taking wearable device as an example in subsequent descriptions, referring to Fig. 1, its each implementation to realize the present invention
A kind of hardware structural diagram of wearable device of example, which may include: RF (Radio
Frequency, radio frequency) unit 101, WiFi module 102, audio output unit 103, A/V (audio/video) input unit 104,
Sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, Yi Ji electricity
The components such as source 111.It will be understood by those skilled in the art that wearable device structure shown in Fig. 1 is not constituted to wearable
The restriction of equipment, wearable device may include perhaps combining certain components or difference than illustrating more or fewer components
Component layout.
It is specifically introduced below with reference to all parts of the Fig. 1 to wearable device:
Radio frequency unit 101 can be used for receiving and sending messages or communication process in, signal sends and receivees, specifically, radio frequency list
Uplink information can be sent to base station by member 101, and after the downlink information that in addition can also be sent base station receives, being sent to can be worn
The processor 110 for wearing equipment is handled, and base station can be to the downlink information that radio frequency unit 101 is sent and be sent out according to radio frequency unit 101
What the uplink information sent generated, it is also possible to actively push away to radio frequency unit 101 after the information update for detecting wearable device
It send, for example, base station can penetrating to wearable device after detecting that geographical location locating for wearable device changes
Frequency unit 101 sends the message informing of geographical location variation, and radio frequency unit 101, can should after receiving the message informing
The processor 110 that message informing is sent to wearable device is handled, and it is logical that the processor 110 of wearable device can control the message
Know on the display panel 1061 for being shown in wearable device；In general, radio frequency unit 101 include but is not limited to antenna, at least one
Amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, radio frequency unit 101 can also pass through channel radio
Letter communicated with network and other equipment, specifically may include: by wireless communication with the server communication in network system, example
Such as, wearable device can download file resource from server by wireless communication, for example can download and answer from server
With program, after wearable device completes the downloading of a certain application program, if the corresponding file of the application program in server
Resource updates, then the server can be by wireless communication to the message informing of wearable device push resource updates, to remind
User is updated the application program.Any communication standard or agreement can be used in above-mentioned wireless communication, including but not limited to
GSM (Global System of Mobile communication, global system for mobile communications), GPRS (General
Packet Radio Service, general packet radio service), CDMA2000 (Code Division Multiple
Access2000, CDMA 2000), WCDMA (Wideband Code Division Multiple Access, broadband code
Point multiple access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access, the time-division
S-CDMA-Synchronous Code Division Multiple Access), (Frequency Division Duplexing-Long Term Evolution, frequency division are double by FDD-LTE
Work long term evolution) and TDD-LTE (Time Division Duplexing-Long Term Evolution, time division duplex are long-term
Evolution) etc..
In one embodiment, wearable device 100 can access existing communication network by insertion SIM card.
In another embodiment, wearable device 100 can be come real by the way that esim card (Embedded-SIM) is arranged
Existing communication network is now accessed, by the way of esim card, the inner space of wearable device can be saved, reduce thickness.
It is understood that although Fig. 1 shows radio frequency unit 101, but it is understood that, radio frequency unit 101 its
And it is not belonging to must be configured into for wearable device, it can according to need within the scope of not changing the essence of the invention and save completely
Slightly.Wearable device 100 can realize the communication connection with other equipment or communication network separately through wifi module 102,
The embodiment of the present invention is not limited thereto.
WiFi belongs to short range wireless transmission technology, and wearable device can help user to receive and dispatch by WiFi module 102
Email, browsing webpage and access streaming video etc., it provides wireless broadband internet access for user.Although Fig. 1
WiFi module 102 is shown, but it is understood that, and it is not belonging to must be configured into for wearable device, it completely can root
It is omitted within the scope of not changing the essence of the invention according to needs.
Audio output unit 103 can be in call signal reception pattern, call mode, record in wearable device 100
When under the isotypes such as mode, speech recognition mode, broadcast reception mode, by radio frequency unit 101 or WiFi module 102 it is received or
The audio data that person stores in memory 109 is converted into audio signal and exports to be sound.Moreover, audio output unit
103 can also provide audio output relevant to the specific function that wearable device 100 executes (for example, call signal reception sound
Sound, message sink sound etc.).Audio output unit 103 may include loudspeaker, buzzer etc..
A/V input unit 104 is for receiving audio or video signal.A/V input unit 104 may include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the image data of the static images or video obtained in image capture mode by image capture apparatus (such as camera) carries out
Reason.Treated, and picture frame may be displayed on display unit 106.Through graphics processor 1041, treated that picture frame can be deposited
Storage is sent in memory 109 (or other storage mediums) or via radio frequency unit 101 or WiFi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (audio data), and can be audio data by such acoustic processing.Audio that treated (voice) data can
To be converted to the format output that can be sent to mobile communication base station via radio frequency unit 101 in the case where telephone calling model.
Microphone 1042 can be implemented various types of noises elimination (or inhibition) algorithms and send and receive sound to eliminate (or inhibition)
The noise generated during frequency signal or interference.
In one embodiment, wearable device 100 includes one or more cameras, by opening camera,
It can be realized the capture to image, realize the functions such as take pictures, record a video, the position of camera, which can according to need, to be configured.
Wearable device 100 further includes at least one sensor 105, for example, optical sensor, motion sensor and other
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein ambient light sensor can be according to ring
The light and shade of border light adjusts the brightness of display panel 1061, proximity sensor can when wearable device 100 is moved in one's ear,
Close display panel 1061 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions
The size of (generally three axis) acceleration, can detect that size and the direction of gravity, can be used to identify mobile phone posture when static
It (for example pedometer, is struck using (such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function
Hit) etc..
In one embodiment, wearable device 100 further includes proximity sensor, can by using proximity sensor
Wearable device can be realized non-contact manipulation, provide more modes of operation.
In one embodiment, wearable device 100 further includes heart rate sensor, when wearing, by close to using
Person can be realized the detecting of heart rate.
In one embodiment, wearable device 100 can also include that fingerprint sensor can by reading fingerprint
Realize the functions such as safety verification.
Display unit 106 is for showing information input by user or being supplied to the information of user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configure display panel 1061.
In one embodiment, display panel 1061 uses flexible display screen, and wearable using flexible display screen sets
For when wearing, screen is able to carry out bending, to more be bonded.Optionally, the flexible display screen can use OLED screen
Body and graphene screen body, in other embodiments, the flexible display screen is also possible to other display materials, the present embodiment
It is not limited thereto.
In one embodiment, the display panel 1061 of wearable device can take rectangle, ring when convenient for wearing
Around.In other embodiments, other modes can also be taken.
User input unit 107 can be used for receiving the number or character information of input, and generate and wearable device
User setting and the related key signals input of function control.Specifically, user input unit 107 may include touch panel 1071
And other input equipments 1072.Touch panel 1071, also referred to as touch screen collect the touch behaviour of user on it or nearby
Make (for example user uses any suitable objects or attachment such as finger, stylus on touch panel 1071 or in touch panel
Operation near 1071), and corresponding attachment device is driven according to preset formula.Touch panel 1071 may include touching
Two parts of detection device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch behaviour
Make bring signal, transmits a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and
It is converted into contact coordinate, then gives processor 110, and order that processor 110 is sent can be received and executed.This
Outside, touch panel 1071 can be realized using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves.In addition to touching
Panel 1071 is controlled, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072
It can include but is not limited to physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, operation
One of bar etc. is a variety of, specifically herein without limitation.
In one embodiment, one or more buttons have can be set in the side of wearable device 100.Button can be with
The various ways such as short-press, long-pressing, rotation are realized, to realize a variety of operating effects.The quantity of button can be different to be multiple
It can be applied in combination between button, realize a variety of operating functions.
Further, touch panel 1071 can cover display panel 1061, when touch panel 1071 detect on it or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, is followed by subsequent processing device 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, touch panel 1071 and display panel
1061 be the function that outputs and inputs of realizing wearable device as two independent components, but in certain embodiments,
Touch panel 1071 and display panel 1061 can be integrated and be realized the function that outputs and inputs of wearable device, specifically herein
Without limitation.For example, processor 110 can be controlled when receiving the message informing of a certain application program by radio frequency unit 101
The message informing show in a certain predeterminable area of display panel 1061 by system, the predeterminable area and touch panel 1071 certain
One region is corresponding, can be to corresponding to area on display panel 1061 by carrying out touch control operation to a certain region of touch panel 1071
The message informing shown in domain is controlled.
Interface unit 108 be used as at least one external device (ED) connect with wearable device 100 can by interface.Example
Such as, external device (ED) may include wired or wireless headphone port, external power supply (or battery charger) port, You Xianhuo
Wireless data communications port, memory card port, the port for connecting the device with identification module, audio input/output (I/O) end
Mouth, video i/o port, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in wearable device 100 or can
For transmitting data between wearable device 100 and external device (ED).
In one embodiment, wearable device 100 interface unit 108 using contact structure, by contact with
Corresponding other equipment connection, realizes the functions such as charging, connection.Use contact can be with waterproof.
Memory 109 can be used for storing software program and various data.Memory 109 can mainly include storing program area
The storage data area and, wherein storing program area can (such as the sound of application program needed for storage program area, at least one function
Sound playing function, image player function etc.) etc.；Storage data area can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 109 may include high-speed random access memory, it can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of wearable device, utilizes various interfaces and the entire wearable device of connection
Various pieces, by running or execute the software program and/or module that are stored in memory 109, and call and be stored in
Data in memory 109 execute the various functions and processing data of wearable device, to carry out to wearable device whole
Monitoring.Processor 110 may include one or more processing units；Preferably, processor 110 can integrate application processor and modulation
Demodulation processor, wherein the main processing operation system of application processor, user interface and application program etc., modulation /demodulation processing
Device mainly handles wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Wearable device 100 can also include the power supply 111 (such as battery) powered to all parts, it is preferred that power supply
111 can be logically contiguous by power-supply management system and processor 110, thus charged by power-supply management system realization management,
The functions such as electric discharge and power managed.
Although Fig. 1 is not shown, wearable device 100 can also be including bluetooth module etc., and details are not described herein.It is wearable to set
Standby 100, by bluetooth, can connect with other terminal devices, realize communication and the interaction of information.
Fig. 2-Fig. 4 is please referred to, is the structure under a kind of a kind of embodiment of wearable device provided in an embodiment of the present invention
Schematic diagram.Wearable device in the embodiment of the present invention, including flexible screen.In wearable device expansion, flexible screen is in
Strip；When wearable device is in wearing state, flexible screen bending is annular in shape.Fig. 2 and Fig. 3 show wearable device
Structural schematic diagram when screen is unfolded, Fig. 4 show structural schematic diagram when wearable device screen-bending.
Based on above-mentioned each embodiment, it can be seen that if the equipment is wrist-watch, bracelet or wearable device
When, the screen of the equipment can not overlay device watchband region, can also be with the watchband region of overlay device.Here, this Shen
It please propose a kind of optional embodiment, in the present embodiment, the equipment for wrist-watch, bracelet or wearable can be set
Standby, the equipment includes screen and interconnecting piece.The screen can be flexible screen, and the interconnecting piece can be watchband.It can
Choosing, the screen of the equipment or the viewing area of screen can be partly or completely covered on the watchband of equipment.Such as Fig. 5
Shown, Fig. 5 is a kind of a kind of hardware schematic of embodiment of wearable device provided by the embodiments of the present application, the equipment
Screen extends to two sides, and part is covered on the watchband of equipment.In other embodiments, the screen of the equipment can also be with
It is all covered on the watchband of the equipment, the embodiment of the present application is not limited thereto.
Specifically, the present invention provides a kind of data processing method, which is applied on wearable device,
In one embodiment of data processing method, referring to Fig. 6, data processing method includes:
Whether step S10 judges the reported data when receiving the reported data that wearable device sensor reports
For the data of intrinsic frequency attribute；
Step S20, if the reported data be intrinsic frequency attribute data, judge the reported data whether headed by
Data；
Step S30, if data headed by the reported data, it is determined that the storage mode of the head data is deposited for first
Storage mode；
Step S40, if the reported data is non-first data, it is determined that the storage mode of the non-first data is the
Two storage modes.
Specific step is as follows:
Whether step S10 judges the reported data when receiving the reported data that wearable device sensor reports
For the data of intrinsic frequency attribute；
It should be noted that in the present embodiment, wearable device includes Intelligent bracelet, such as smartwatch equipment
Outside, which further includes the equipment such as intelligent glasses, and each wearable device is provided in the wearable device and is passed
Sensor, the purpose for being provided with each wearable device sensor are to obtain convenient for user or user by wearable device
All data is taken, such as step counting data, heart rate data, GPS data etc., it should be noted that step counting data, heart rate data, GPS number
It according to waiting is acquired by wearable device sensor different sensors, step counting data, heart rate data, GPS data etc. are all
It is to be collected with intrinsic frequency, which can be what user was arranged in wearable device, due to the intrinsic frequency
Rate is setting, thus the intrinsic frequency is also that change can be set, thus, adjacent certain meters are corresponded to for times of collection
Step data, heart rate data, GPS data etc., there is also different frequency acquisitions.In addition, it is necessary to explanation, in the present embodiment
In, the terminal that either data interaction is interacted with wearable device is generally the mobile devices such as smart phone, on wearable device
Application usually in mobile device application be it is matched, the matching refer on wearable device application and mobile device
Upper corresponding application there are data sharing, thus, what the sensor that user can check at the terminal on wearable device detected
All data, currently, due in the application application data sharing process corresponding in mobile device on wearable device, usually
It needs temporarily to be stored data to be reported and report again, if it is that 1s reports one that sensor, which reports frequency, on wearable device
It is secondary, then it will store within wearable device 1 hour and be reported to 3600 data of terminal, wherein for example, the rate data of uniting as one at least are answered
Including attributes such as timestamp (timeTick), data (value), currently, the storage form for rate data of uniting as one are as follows:
TimeTick1value1, timeTick2value2...timeTickN valueN mode, wherein data (value) i.e. heart rate
The char type that value can occupy 2 bytes with one stores, and a timestamp needs the long offset of 8 bytes of an occupancy
Storage, thus, existing storage mode causes the memory consumption of wearable device excessive, is each storage one data such as heart
When rate data, requires storage time repeatedly and stab this data.
In addition, although wearable device may not cache either storing data, but the synchronization of data is carried out, due to same
During step data, needs to synchronize repeatedly to report and occupy more data including this byte of timestamp, thus, it can also cause wear
The memory consumption for wearing equipment is excessive, in addition, wearable device synchrodata speed can also be caused to slow down.
In the present embodiment, when receiving the reported data that wearable device sensor reports, judge the upper count off
According to whether be intrinsic frequency attribute data, judge whether the reported data is that the data of intrinsic frequency attribute generally refer to
The reported data reports whether attribute is intrinsic frequency, wherein judges whether the reported data is intrinsic frequency attribute
Data mode may include the following two kinds mode: mode one, the particular community mark carried in the reported data be obtained, according to this
Whether carry particular community mark to be judged, in the present embodiment, the data of particular community mark, are according to intrinsic frequency
It is reported；Mode two: judging whether the data are to preset certain types of data, in the present embodiment, presets certain kinds
The data of type are reported according to intrinsic frequency, wherein are preset certain types of data and also referred to preset and people
The relevant corresponding data of body index operated according to certain rule of body, such as heart rate data.
Step S20, if the reported data be intrinsic frequency attribute data, judge the reported data whether headed by
Data；
If the reported data be intrinsic frequency attribute data, judge the reported data whether headed by data,
Judge the reported data whether headed by the mode of data include such as under type: whether mode one obtains the reported data
Carry the specific label of wearable device respective sensor, wherein wearable device respective sensor is more than preset time period
It will be more than that the data detected for the first time after preset time period is not detected stamp specific label, mode when not detected
Two, the configuration information that first data whether is carried in the reported data is judged, if carrying first data in the reported data
Configuration information, it is determined that data headed by the reported data, wherein wearable device configuration information change when, it is wearable
The configuration information is corresponded to the first data after being sent to change configuration information by equipment.
Step S30, if data headed by the reported data, it is determined that the storage mode of the head data is deposited for first
Storage mode；
If data headed by the reported data, it is determined that the storage mode of the head data is the first storage mode,
Wherein, the first storage mode is the storage mode for being stored with timestamp.
Specifically, if data headed by the reported data, it is determined that the storage mode of the head data is the
One storage mode step includes:
Step S31, if data headed by the reported data, obtain the first data first time stamp, first
Report the content of frequency, the counting of the first data bulk and first data；
If data headed by the reported data obtains the attribute information of the head data, from the attribute information
Parsing obtains the first time stamp of the first data and the content of first data, wherein first report frequency can be from
It is acquired in entrained configuration information in first data, that is, first to report frequency be arranged in wearable device,
And the first data bulk counts generally 1.
First time stamp, described first are reported frequency, first data bulk counting and institute by step S32
The content for stating first data is ranked up storage according to the first preset order, obtains the first ordering store data.
It is stored due to data headed by the reported data, thus by first time stamp, in addition, will also be described
It stabs at the first time, described first reports that frequency, first data bulk count and the content of the first data is according to the
One preset order is ranked up storage, obtains the first ordering store data, and specifically, which can be first data
The Sort Priority of content is minimum, which is specifically as follows stamp (startTime), the first data bulk meter at the first time
Number (count), the content (value1) for reporting frequency (interval), first data.
Step S40, if the reported data is non-first data, it is determined that the storage mode of the non-first data is the
Two storage modes.
If the reported data is non-first data, it is determined that the storage mode of the non-first data is the second storage side
Formula carries out the subdivision of the second storage mode also according to the essential attributes of non-first data in the second storage mode, that is, the
Two storage modes are subdivided into the first storage submode and the second storage submode.Disappear in order to reduce the energy of wearable device
Consumption.
The present invention when receiving the reported data that wearable device sensor reports, judge the reported data whether be
The data of intrinsic frequency attribute；If the reported data is the data of intrinsic frequency attribute, whether the reported data is judged
Headed by data；If data headed by the reported data, it is determined that the storage mode of the head data is the first storage side
Formula；If the reported data is non-first data, it is determined that the storage mode of the non-first data is the second storage mode.?
It is no longer the storage that data are carried out according to intrinsic storage mode when receiving the data of intrinsic frequency attribute in the application,
But according to reported data whether headed by data, take different storage modes, data headed by the even described reported data,
The storage mode for then determining the first data is the first storage mode；If the reported data is non-first data, it is determined that
The storage mode of the non-first data is the second storage mode, causes storing data to occupy because of intrinsic storage mode to reduce
Excessive memory space, the phenomenon that in turn resulting in the waste of resource, thus, present application addresses existing wearable devices to report inherently
Frequency data store reported data to fixed storage mode in terminal procedures and occupy excessive memory space, cause the waste of resource
Technical problem.
Further, in another embodiment of data processing method of the present invention, if the reported data is non-first item
Data, it is determined that the storage mode of the non-first data is that the second storage mode step includes:
Step S41 obtains the second timestamp of the non-first data if the reported data is non-first data,
Determine the difference of the third timestamp of the previous data of second timestamp and the non-first data whether more than one
Report cycle；
If the reported data is non-first data, obtain the second timestamp of the non-first data, determine described in
The difference of the third timestamp of the previous data of second timestamp and the non-first data whether more than one report cycle,
Specifically, generally determining the difference of second timestamp and the third timestamp of the previous data of the non-first data is
It is no to be equal to a report cycle.
In the present embodiment, if the reported data is non-first data, when obtaining the second of the non-first data
Between stab, such as the second timestamp can be at 1 point 18 minutes and 5 seconds, determine the previous item of second timestamp and the non-first data
The difference of the third timestamp of data whether more than one report cycle, for example, third timestamp can be at 1 point 18 minutes and 7 seconds, and
One report cycle is 1 second, it is determined that the third time of the previous data of second timestamp and the non-first data
The difference of stamp is more than or not equal to a report cycle, and a report cycle is 2 seconds, it is determined that second timestamp with
The difference of the third timestamp of the previous data of the non-first data is equal to a report cycle.
Step S42, if the difference of the third timestamp of the previous data of second timestamp and the non-first data
It is worth more than one report cycle, it is determined that the storage mode of the non-first data is the first son storage in the second storage mode
Mode；
If the difference of the third timestamp of the previous data of second timestamp and the non-first data is more than one
A report cycle, it is determined that the storage mode of the non-first data is the first sub- storage mode in the second storage mode,
In the first sub- storage mode in the present embodiment, storage processing is carried out using the non-first data as new data.
Specifically, if second timestamp and the third timestamp of the previous data of the non-first data
Difference is more than a report cycle, it is determined that the storage mode of the non-first data is that the first son in the second storage mode is deposited
Storage mode step includes:
Step S421, if the difference of the third timestamp of the previous data of second timestamp and the non-first data
It is worth more than one report cycle, then obtains the second timestamp of the non-head data, second reports frequency, the second data bulk
The content of counting and non-first data；
If the difference of the third timestamp of the previous data of second timestamp and the non-first data is more than one
A report cycle, then obtain the second timestamp of the non-first data, second report frequency, the second data bulk count and
The content of non-head data, it should be noted that second reports frequency to be determined according to third timestamp and the second timestamp, and
It may be 1 that second data bulk of non-head data, which counts, that is, the counting of the second data bulk can be with the first data bulk
It counts identical.
Second timestamp, second are reported frequency, the counting of the second data bulk and the non-first item by step S422
The content of data is ranked up storage according to the second preset order, obtains third ordering store data.
Obtain the second timestamp, second report frequency, the second data bulk count and the non-first data in
Rong Hou carries out orderly sequence according to the second preset order and stores, obtains third ordering store data.Specifically, that is, when the
Between N number of data and the N+1 data, reporting time phase difference has been more than report cycle, then on the basis of the N+1 data, phase
Answer the storage form of N+1 data are as follows: startTime1interval N value1value2...valueN,
startTime2interval M valueN+1valueN+2...valueM。
Step S43, if the difference of the third timestamp of the previous data of second timestamp and the non-first data
Value is less than a report cycle, it is determined that the storage mode of the non-first data is that the second son in the second storage mode is deposited
Storage mode.
If the difference of second timestamp and the third timestamp of the previous data of the non-first data is less than
One report cycle, it is determined that the storage mode of the non-first data is the second sub- storage mode in the second storage mode,
In the second sub- storage mode, the timestamp of the not corresponding non-first data of storage.
In the present embodiment, if the reported data is non-first data, when obtaining the second of the non-first data
Between stab, determine second timestamp and the third timestamp of the previous data of the non-first data difference whether be more than
One report cycle；If the difference of the third timestamp of the previous data of second timestamp and the non-first data is super
Cross a report cycle, it is determined that the storage mode of the non-first data is the first sub- storage side in the second storage mode
Formula；If the difference of the third timestamp of the previous data of second timestamp and the non-first data is less than on one
Report the period, it is determined that the storage mode of the non-first data is the second sub- storage mode in the second storage mode.Due to root
According between different data, whether more than one report cycle carries out classification storage to non-first data, thus, it is avoiding because intrinsic
Storage mode and cause storing data to occupy outside excessive memory space, also avoid the entanglement of storage.
Further, the present invention provide another embodiment of data processing method in, if second timestamp with
The difference of the third timestamp of the previous data of the non-first data is less than a report cycle, it is determined that the non-head
The storage mode of data is that the second sub- storage mode step in the second storage mode includes:
Step S431, if the difference of the third timestamp of the previous data of second timestamp and the non-first data
Value is less than a report cycle, then reports frequency and second timestamp to obtain the non-first data according to described first
Corresponding object count；
In the present embodiment, if the third timestamp of the previous data of second timestamp and the non-first data
Difference be less than a report cycle, then report frequency and second timestamp to obtain the non-first item according to described first
The corresponding object count of data, the purpose for obtaining object count are, the label of timestamp is avoided to store, but according to target meter
Number can carry out the label storage of non-first data.
Step S432 updates the first data bulk meter in first ordering store data according to the object count
Number, and the non-first data content of the non-first data is added in first ordering store data, obtain second row
Sequence storing data.
Specifically, for example, the first data bulk is counted as 4, object count 5, then by the first data bulk count update
It is 5.
It is described and the non-first data content of non-first data is added in first ordering store data, obtain the
Two ordering store data steps include:
The non-first data content of non-first data is added in first ordering store data, obtains by step A1
Second ordering store data；Wherein, the priority of the non-first data content is minimum.
Namely in the present embodiment, the first data in first ordering store data are updated according to the object count
Quantity counts, and the non-first data content of the non-first data is added in first ordering store data, obtains
Second ordering store data, wherein the priority of the non-first data content is minimum, specifically, the second ordering store data
It can be with are as follows: startTime1interval N value1value2...valueN.
In the present embodiment, if when by the third of second timestamp and the previous data of the non-first data
Between the difference stabbed be less than a report cycle, then report frequency and second timestamp to obtain according to described first described non-
The corresponding object count of first data；The first data number in first ordering store data is updated according to the object count
Meter number, and the non-first data content of the non-first data is added in first ordering store data obtains the
Two ordering store datas.That is, in the present embodiment, avoid storing the more correspondent time of byte occupancy repeatedly, thus, it reduces
The consumption of the wearable device energy.
Further, it is provided in another embodiment of data processing method in the present invention, it is described to receive wearable device
When the reported data that sensor reports, judge whether the reported data is that the data step of intrinsic frequency attribute includes:
Step S11 obtains the class of the reported data when receiving the reported data that wearable device sensor reports
Type；
In the present embodiment, when receiving the reported data that wearable device sensor reports, the upper count off is obtained
According to type, the purpose for obtaining the type of reported data be to judge the reported data whether be intrinsic frequency attribute data,
That is, in the present embodiment, what the data of intrinsic frequency attribute were divided according to type.
Step S12 is reported described in determination if the type of the reported data is the heart rate data that heart rate sensor reports
Data are the data of intrinsic frequency attribute.
If the type of the reported data is the heart rate data that heart rate sensor reports, determine that the reported data is solid
Have the data of frequency attribute, wherein the value range of heart rate value be (0,220], can be stored with a char type storage,
Rather than need to occupy the more long offset storages of byte, thus, avoid the waste of resource.
In addition, the embodiment of the present invention also proposes a kind of data processing equipment, which is applied to wearable set
Standby, the data processing equipment includes:
Receiving module, for when receiving the reported data that wearable device sensor reports, judging the upper count off
According to whether be intrinsic frequency attribute data；
Judgment module judges that the reported data is if being the data of intrinsic frequency attribute for the reported data
Data headed by no；
First determining module, if for data headed by the reported data, it is determined that the storage side of the head data
Formula is the first storage mode；
Second determining module, if being non-first data for the reported data, it is determined that the non-first data is deposited
Storage mode is the second storage mode.
Optionally, first determining module includes:
First acquisition submodule, if obtaining the first of the first data for data headed by the reported data
Timestamp, first report frequency, the first data bulk to count and the content of first data；
Sub-module stored, for reporting frequency, first data bulk to count first time stamp, described first
And the content of the first data is ranked up storage according to the first preset order, obtains the first ordering store data.
Optionally, second determining module includes:
Second acquisition submodule obtains the non-first data if being non-first data for the reported data
Second timestamp determines that the difference of second timestamp and the third timestamp of the previous data of the non-first data is
No more than one report cycle；
First determines submodule, if the third for second timestamp and the previous data of the non-first data
The difference of timestamp is more than a report cycle, it is determined that the storage mode of the non-first data is in the second storage mode
First sub- storage mode；
Second determines submodule, if the third for second timestamp and the previous data of the non-first data
The difference of timestamp is less than a report cycle, it is determined that the storage mode of the non-first data is in the second storage mode
The second sub- storage mode.
Optionally, described second determine that submodule includes:
First acquisition unit, if when for the third of second timestamp and the previous data of the non-first data
Between the difference stabbed be less than a report cycle, then report frequency and second timestamp to obtain according to described first described non-
The corresponding object count of first data；
Second acquisition unit, for updating the first data in first ordering store data according to the object count
Quantity counts, and the non-first data content of the non-first data is added in first ordering store data, obtains
Second ordering store data.
Optionally, the second acquisition unit includes:
Subelement is added, for the non-first data content of non-first data to be added to first ordering store data
In, obtain the second ordering store data；
Wherein, the priority of the non-first data content is minimum.
Optionally, described first determine that submodule includes:
Third acquiring unit, if when for the third of second timestamp and the previous data of the non-first data
Between the difference stabbed be more than a report cycle, then obtain the second timestamp of the non-first data, second report frequency, second
Data bulk counts and the content of non-first data；
Sequencing unit, for by second timestamp, second report frequency, the second data bulk count and it is described non-
The content of first data is ranked up storage according to the second preset order, obtains third ordering store data.
Optionally, the receiving module includes:
Third acquisition submodule, for when receiving the reported data that wearable device sensor reports, described in acquisition
The type of reported data；
Third determines submodule, if the type for the reported data is the heart rate data that heart rate sensor reports,
Determine that the reported data is the data of intrinsic frequency attribute.
In addition, the embodiment of the present invention also proposes that a kind of wearable device, wearable device include: memory 109, processor
110 and it is stored in the data processor that can be run on memory 109 and on processor 110, data processor is processed
Device 110 realizes the step of each embodiment of above-mentioned data processing method when executing.
In addition, the present invention also provides a kind of computer storage medium, the computer storage medium be stored with one or
More than one program of person, the one or more programs can also be executed by one or more than one processor with
In the step of realizing each embodiment of above-mentioned data processing method.
The expansion content of the specific embodiment of wearable device and storage medium (i.e. computer storage medium) of the present invention
Essentially identical with each embodiment of above-mentioned data processing method, this will not be repeated here.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that wearable device (it can be mobile phone, computer,
Server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (10)
1. a kind of data processing method, which is characterized in that the data processing method is applied to wearable device, at the data
Reason method includes:
When receiving the reported data that wearable device sensor reports, judge whether the reported data is intrinsic frequency category
The data of property；
If the reported data be intrinsic frequency attribute data, judge the reported data whether headed by data；
If data headed by the reported data, it is determined that the storage mode of the head data is the first storage mode；
If the reported data is non-first data, it is determined that the storage mode of the non-first data is the second storage mode.
2. data processing method as described in claim 1, which is characterized in that if data headed by the reported data,
The storage mode for then determining the first data is that the first storage mode step includes:
If data headed by the reported data, obtains the first time stamp of the first data, first reports frequency, first
Data bulk counts and the content of first data；
First time stamp, described first are reported into frequency, first data bulk counting and the first data
Content is ranked up storage according to the first preset order, obtains the first ordering store data.
3. data processing method as claimed in claim 2, which is characterized in that if the reported data is non-first item number
According to, it is determined that the storage mode of the non-first data is that the second storage mode step includes:
If the reported data is non-first data, the second timestamp of the non-first data is obtained, determines described second
The difference of the third timestamp of the previous data of timestamp and the non-first data whether more than one report cycle；
If the difference of the third timestamp of the previous data of second timestamp and the non-first data is more than on one
Report the period, it is determined that the storage mode of the non-first data is the first sub- storage mode in the second storage mode；
If the difference of the third timestamp of the previous data of second timestamp and the non-first data is less than one
Report cycle, it is determined that the storage mode of the non-first data is the second sub- storage mode in the second storage mode.
4. data processing method as claimed in claim 3, which is characterized in that if second timestamp and the non-head
The difference of the third timestamp of the previous data of data is less than a report cycle, it is determined that the non-first data
Storage mode is that the second sub- storage mode step in the second storage mode includes:
If the difference of the third timestamp of the previous data of second timestamp and the non-first data is less than one
Report cycle then reports frequency and second timestamp to obtain the corresponding target meter of the non-first data according to described first
Number；
It updates the first data bulk in first ordering store data according to the object count to count, and by the non-head
The non-first data content of data is added in first ordering store data, obtains the second ordering store data.
5. data processing method as claimed in claim 4, which is characterized in that wherein, non-head described and by non-first data
Data content is added in first ordering store data, is obtained the second ordering store data step and is included:
The non-first data content of non-first data is added in first ordering store data, the second sequence storage is obtained
Data；
Wherein, the priority of the non-first data content is minimum.
6. data processing method as claimed in claim 3, which is characterized in that if second timestamp and the non-head
The difference of the third timestamp of the previous data of data is more than a report cycle, it is determined that the non-first data is deposited
Storage mode is that the first sub- storage mode step in the second storage mode includes:
If the difference of the third timestamp of the previous data of second timestamp and the non-first data is more than on one
The period is reported, then obtains the second timestamp of the non-first data, second report that frequency, the second data bulk counts and non-head
The content of data；
By second timestamp, second report frequency, the second data bulk count and the content of the non-first data by
It is ranked up storage according to the second preset order, obtains third ordering store data.
7. data processing method as claimed in any one of claims 1 to 6, which is characterized in that described to receive wearable device
When the reported data that sensor reports, judge whether the reported data is that the data step of intrinsic frequency attribute includes:
When receiving the reported data that wearable device sensor reports, the type of the reported data is obtained；
If the type of the reported data is the heart rate data that heart rate sensor reports, determine that the reported data is intrinsic frequency
The data of rate attribute.
8. a kind of data processing equipment, which is characterized in that the data processing equipment is applied to wearable device, at the data
Managing device includes:
Receiving module, for when receiving the reported data that wearable device sensor reports, judging that the reported data is
The no data for intrinsic frequency attribute；
Judgment module, if for the reported data be intrinsic frequency attribute data, judge the reported data whether be
First data；
First determining module, if for data headed by the reported data, it is determined that the storage mode of the head data is
First storage mode；
Second determining module, if being non-first data for the reported data, it is determined that the storage side of the non-first data
Formula is the second storage mode.
9. a kind of wearable device, which is characterized in that the wearable device includes: memory, processor and is stored in described
On memory and the data processor that can run on the processor, the data processor are executed by the processor
The step of data processing method of the Shi Shixian as described in any one of claims 1 to 7.
10. a kind of storage medium, which is characterized in that be stored with data processor, the data processing on the storage medium
The step of data processing method as described in any one of claims 1 to 7 is realized when program is executed by processor.
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| CN112835518A (en) * | 2021-01-27 | 2021-05-25 | 歌尔科技有限公司 | Data storage method and device, wearable device and storage medium |
| CN112835518B (en) * | 2021-01-27 | 2023-04-25 | 歌尔科技有限公司 | Data storage method and device, wearable device and storage medium |
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