CN109933294B - Data processing method and device, wearable device and storage medium - Google Patents
Data processing method and device, wearable device and storage medium Download PDFInfo
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Abstract
The invention discloses a data processing method, a device, a wearable device and a storage medium, wherein the method comprises the following steps: when receiving report data reported by a wearable device sensor, judging whether the report data is data of a natural frequency attribute; if the reported data are the data with the natural frequency attribute, judging whether the reported data are the first piece of data or not; if the reported data is the first data, determining that the storage mode of the first data is a first storage mode; and if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode. The invention solves the technical problem that the storage and reporting data of the fixed storage mode occupy too much storage space in the process of reporting the natural frequency data to the terminal by the existing wearable equipment, and the resource waste is caused.
Description
Technical Field
The present invention relates to the field of wearable devices, and in particular, to a data processing method and apparatus, a wearable device, and a storage medium.
Background
At present, data interaction between a wearable device and a terminal is more and more frequent, for example, data of natural frequency attributes such as step counting data and heart rate data detected by a sensor on the wearable device are often reported to the terminal by the wearable device at a fixed frequency for a user to view, in the process that the wearable device reports the fixed frequency data such as the step counting data and the heart rate data to the terminal, the data to be reported are often required to be temporarily stored and then reported, if the reporting frequency of the sensor on the wearable device is 1s, the wearable device stores and reports the data to the terminal 3600 pieces of data for 1 hour, wherein one piece of heart rate data at least comprises the attributes such as a time stamp (timeTick) and data (value), and at present, one piece of heart rate data is stored in the following form: the timetip 1value1, timetip 2value2.
Disclosure of Invention
The invention mainly aims to provide a data processing method, a device, a wearable device and a storage medium, and aims to solve the technical problem that the storage of reported data in a fixed storage mode occupies too much storage space in the process of reporting natural frequency data to a terminal by the existing wearable device, so that resources are wasted.
To achieve the above object, an embodiment of the present invention provides a data processing method, which is applied to a wearable device, including:
when receiving report data reported by a wearable device sensor, judging whether the report data is data of a natural frequency attribute;
if the reported data are the data with the natural frequency attribute, judging whether the reported data are the first piece of data or not;
if the reported data is the first data, determining that the storage mode of the first data is a first storage mode;
and if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode.
Optionally, if the reported data is the first piece of data, determining that the storage mode of the first piece of data is the first storage mode includes:
If the reported data is the first data, acquiring a first time stamp, a first reporting frequency, a first data quantity count and the content of the first data;
and sequencing and storing the first timestamp, the first reporting frequency, the first data quantity count and the content of the first piece of data according to a first preset sequence to obtain first sequencing and storing data.
Optionally, if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode includes:
if the reported data is non-first data, acquiring a second timestamp of the non-first data, and determining whether a difference value between the second timestamp and a third timestamp of a previous piece of data of the non-first data exceeds a reporting period;
if the difference value between the second time stamp and the third time stamp of the previous data of the non-first data exceeds a reporting period, determining that the storage mode of the non-first data is a first sub-storage mode in a second storage mode;
and if the difference value between the second timestamp and the third timestamp of the data which is not the first data is not more than one reporting period, determining that the storage mode of the non-first data is a second sub-storage mode in a second storage mode.
Optionally, if the difference between the second timestamp and the third timestamp of the data that is not the first piece of data does not exceed a reporting period, determining that the storage mode of the data that is not the first piece of data is a second sub-storage mode in a second storage mode includes:
if the difference value between the second time stamp and the third time stamp of the previous data of the non-first data does not exceed a reporting period, acquiring a target count corresponding to the non-first data according to the first reporting frequency and the second time stamp;
and updating a first data quantity count in the first sorting storage data according to the target count, and adding the non-first data content of the non-first data to the first sorting storage data to obtain second sorting storage data.
Optionally, the step of obtaining the second sorted stored data includes:
adding non-first data content of non-first data into the first ordering storage data to obtain second ordering storage data;
wherein the priority of the non-first piece of data content is lowest.
Optionally, if the difference between the second timestamp and the third timestamp of the data that is not the first piece of data exceeds a reporting period, determining that the storage mode of the data that is not the first piece of data is the first sub-storage mode in the second storage mode includes:
if the difference value between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data exceeds a reporting period, acquiring the second timestamp, the second reporting frequency, the second data quantity count and the content of the non-first piece of data;
and sequencing and storing the second timestamp, the second reporting frequency, the second data quantity count and the content of the non-first data according to a second preset sequence to obtain third sequencing and storing data.
Optionally, when receiving the report data reported by the wearable device sensor, the step of determining whether the report data is the data with the natural frequency attribute includes:
when receiving report data reported by a wearable device sensor, acquiring the type of the report data;
and if the type of the reported data is heart rate data reported by a heart rate sensor, determining that the reported data is data with inherent frequency attribute.
The present invention also provides a data processing apparatus comprising:
the receiving module is used for judging whether the reported data is the data of the natural frequency attribute or not when the reported data reported by the wearable device sensor is received;
the judging module is used for judging whether the reported data is first data or not if the reported data is the data with the natural frequency attribute;
the first determining module is used for determining that the storage mode of the first piece of data is a first storage mode if the reported data is the first piece of data;
and the second determining module is used for determining that the storage mode of the non-first data is a second storage mode if the reported data is the non-first data.
The invention also provides a wearable device comprising: the data processing system comprises a memory, a processor and a data processing program stored in the memory and capable of running on the processor, wherein the data processing program realizes the steps of the data processing method when being executed by the processor.
The present invention also provides a storage medium having stored thereon a data processing program which, when executed by a processor, implements the steps of the data processing method as described above.
When receiving report data reported by a wearable device sensor, judging whether the report data is data with inherent frequency attribute; if the reported data are the data with the natural frequency attribute, judging whether the reported data are the first piece of data or not; if the reported data is the first data, determining that the storage mode of the first data is a first storage mode; and if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode. In the application, when the data with the natural frequency attribute is received, the data is not stored according to the natural storage mode, but different storage modes are adopted according to whether the reported data is the first data, namely if the reported data is the first data, the storage mode of the first data is determined to be the first storage mode; if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode, so as to reduce the phenomenon that the stored data occupies too much storage space due to the inherent storage mode, and further cause resource waste.
Drawings
Fig. 1 is a schematic hardware structure of an implementation manner of a wearable device according to an embodiment of the present application;
fig. 2 is a hardware schematic diagram of an implementation manner of a wearable device according to an embodiment of the present application;
fig. 3 is a hardware schematic of an implementation manner of a wearable device according to an embodiment of the present application;
fig. 4 is a hardware schematic of an implementation manner of a wearable device according to an embodiment of the present application;
fig. 5 is a hardware schematic of an implementation manner of a wearable device according to an embodiment of the present application;
FIG. 6 is a flowchart of a data processing method according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In the following description, suffixes such as "module", "component", or "unit" for representing elements are used only for facilitating the description of the present application, and have no specific meaning per se. Thus, "module," "component," or "unit" may be used in combination.
The wearable device provided by the embodiment of the application comprises a mobile terminal such as an intelligent bracelet, an intelligent watch and an intelligent mobile phone. With the continuous development of screen technology, mobile terminals such as smart phones and the like can also be used as wearable devices due to the appearance of screen forms such as flexible screens, folding screens and the like. The wearable device provided in the embodiment of the application can comprise: RF (Radio Frequency) unit, wiFi module, audio output unit, A/V (audio/video) input unit, sensor, display unit, user input unit, interface unit, memory, processor, and power supply.
In the following description, a wearable device will be taken as an example, please refer to fig. 1, which is a schematic hardware structure of a wearable device implementing various embodiments of the present invention, where the wearable device 100 may include: an RF (Radio Frequency) unit 101, a WiFi module 102, an audio output unit 103, an a/V (audio/video) input unit 104, a sensor 105, a display unit 106, a user input unit 107, an interface unit 108, a memory 109, a processor 110, and a power supply 111. Those skilled in the art will appreciate that the wearable device structure shown in fig. 1 does not constitute a limitation of the wearable device, and that the wearable device may include more or fewer components than shown, or certain components in combination, or a different arrangement of components.
The following describes the various components of the wearable device in detail with reference to fig. 1:
the radio frequency unit 101 may be used to send and receive information or send signals in a call process, specifically, the radio frequency unit 101 may send uplink information to the base station, or may send downlink information sent by the base station to the processor 110 of the wearable device to process the downlink information, where the downlink information sent by the base station to the radio frequency unit 101 may be generated according to the uplink information sent by the radio frequency unit 101, or may be actively pushed to the radio frequency unit 101 after detecting that the information of the wearable device is updated, for example, after detecting that the geographic position where the wearable device is located changes, the base station may send a notification of the change of the geographic position to the radio frequency unit 101 of the wearable device, after receiving the notification of the message, the radio frequency unit 101 may send the notification of the message to the processor 110 of the wearable device to process, and the processor 110 of the wearable device may control the notification of the message to be displayed on the display panel 1061 of the wearable device; typically, the radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 may also communicate with a network and other devices through wireless communication, which may specifically include: through wireless communication with a server in a network system, for example, the wearable device can download file resources from the server through wireless communication, for example, an application program can be downloaded from the server, after the wearable device finishes downloading a certain application program, if the file resources corresponding to the application program in the server are updated, the server can push a message notification of the resource update to the wearable device through wireless communication so as to remind a user to update the application program. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication, global System for Mobile communications), GPRS (General Packet Radio Service ), CDMA2000 (Code Division Multiple Access, CDMA 2000), WCDMA (Wideband Code Division Multiple Access ), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access, time Division synchronous code Division multiple Access), FDD-LTE (Frequency Division Duplexing-Long Term Evolution, frequency Division Duplex Long term evolution), and TDD-LTE (Time Division Duplexing-Long Term Evolution, time Division Duplex Long term evolution), etc.
In one embodiment, the wearable device 100 may access an existing communication network by inserting a SIM card.
In another embodiment, the wearable device 100 may access an existing communication network by setting an esim card (Embedded-SIM), and by adopting the esim card, the internal space of the wearable device may be saved and the thickness may be reduced.
It will be appreciated that although fig. 1 shows a radio frequency unit 101, it will be appreciated that the radio frequency unit 101 is not an essential component of a wearable device and may be omitted entirely as required within the scope of not changing the essence of the invention. The wearable device 100 may implement communication connection with other devices or communication networks through the wifi module 102 alone, which is not limited by the embodiment of the present invention.
WiFi belongs to a short-distance wireless transmission technology, and the wearable device can help a user to send and receive emails, browse webpages, access streaming media and the like through the WiFi module 102, so that wireless broadband Internet access is provided for the user. Although fig. 1 shows a WiFi module 102, it is understood that it does not belong to the necessary constitution of the wearable device, and can be omitted entirely as required within the scope of not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the wearable device 100 is in a call signal reception mode, a talk mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output (e.g., call signal reception sound, message reception sound, etc.) related to a specific function performed by the wearable device 100. The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive an audio or video signal. The a/V input unit 104 may include a graphics processor (Graphics Processing Unit, GPU) 1041 and a microphone 1042, the graphics processor 1041 processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphics processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 can receive sound (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, and the like, and can process such sound into audio data. The processed audio (voice) data may be converted into a format output that can be transmitted to the mobile communication base station via the radio frequency unit 101 in the case of a telephone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting the audio signal.
In one embodiment, the wearable device 100 includes one or more cameras, and by opening the cameras, capturing of images, photographing, video recording and other functions can be achieved, and the positions of the cameras can be set as required.
The wearable device 100 further comprises at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and the proximity sensor can turn off the display panel 1061 and/or the backlight when the wearable device 100 moves to the ear. As one type of motion sensor, the accelerometer sensor can detect the acceleration in all directions (typically three axes), and can detect the gravity and direction when stationary, and can be used for applications for recognizing the gesture of a mobile phone (such as horizontal-vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer, knocking), and the like.
In one embodiment, the wearable device 100 further comprises a proximity sensor, by employing the proximity sensor, the wearable device is able to achieve non-contact manipulation, providing more modes of operation.
In one embodiment, the wearable device 100 further comprises a heart rate sensor, which when worn, enables detection of heart rate by being in close proximity to the user.
In one embodiment, the wearable device 100 may further include a fingerprint sensor, by reading a fingerprint, security verification or the like can be achieved.
The display unit 106 is used to display information input by a user or information provided to the user. The display unit 106 may include a display panel 1061, and the display panel 1061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like.
In one embodiment, the display panel 1061 employs a flexible display screen, and the wearable device employing the flexible display screen is capable of bending when worn, thereby fitting more. Optionally, the flexible display screen may be an OLED screen body and a graphene screen body, and in other embodiments, the flexible display screen may also be other display materials, which is not limited to this embodiment.
In one embodiment, the display panel 1061 of the wearable device may take a rectangular shape for ease of wrapping when worn. In other embodiments, other approaches may be taken as well.
The user input unit 107 may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the wearable device. In particular, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on the touch panel 1071 or thereabout by using any suitable object or accessory such as a finger, a stylus, etc.) and drive the corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 110, and can receive and execute commands sent from the processor 110. Further, the touch panel 1071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The user input unit 107 may include other input devices 1072 in addition to the touch panel 1071. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc., as specifically not limited herein.
In one embodiment, the sides of the wearable device 100 may be provided with one or more buttons. The button can realize a plurality of modes such as short pressing, long pressing, rotation and the like, thereby realizing a plurality of operation effects. The number of the buttons can be multiple, and different buttons can be combined for use, so that multiple operation functions are realized.
Further, the touch panel 1071 may overlay the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or thereabout, the touch panel 1071 is transferred to the processor 110 to determine the type of touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of touch event. Although in fig. 1, the touch panel 1071 and the display panel 1061 are two independent components for implementing the input and output functions of the wearable device, in some embodiments, the touch panel 1071 may be integrated with the display panel 1061 to implement the input and output functions of the wearable device, which is not limited herein. For example, when a message notification of a certain application is received through the rf unit 101, the processor 110 may control the message notification to be displayed in a certain preset area of the display panel 1061, where the preset area corresponds to a certain area of the touch panel 1071, and may control the message notification displayed in the corresponding area on the display panel 1061 by performing a touch operation on the certain area of the touch panel 1071.
The interface unit 108 serves as an interface through which at least one external device can be connected with the wearable apparatus 100. For example, the external devices may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the wearable apparatus 100 or may be used to transmit data between the wearable apparatus 100 and the external device.
In one embodiment, the interface unit 108 of the wearable device 100 adopts a contact structure, and is connected with other corresponding devices through the contact, so as to realize functions of charging, connection and the like. The contact can also be waterproof.
Memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area that may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and a storage data area; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, memory 109 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The processor 110 is a control center of the wearable device, connects various parts of the entire wearable device with various interfaces and lines, performs various functions of the wearable device and processes data by running or executing software programs and/or modules stored in the memory 109, and invoking data stored in the memory 109, thereby performing overall monitoring of the wearable device. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The wearable device 100 may further include a power source 111 (such as a battery) for powering the various components, and preferably, the power source 111 may be logically connected to the processor 110 through a power management system, so as to perform functions of managing charging, discharging, and power consumption management through the power management system.
Although not shown in fig. 1, the wearable device 100 may further include a bluetooth module or the like, which is not described herein. The wearable device 100 can be connected with other terminal devices through bluetooth to realize communication and information interaction.
Fig. 2 to fig. 4 are schematic structural diagrams of a wearable device according to an embodiment of the present application. The wearable device comprises a flexible screen. When the wearable device is unfolded, the flexible screen is in a strip shape; when the wearable device is in a wearing state, the flexible screen is bent to be annular. Fig. 2 and 3 show schematic structural diagrams of the wearable device screen when unfolded, and fig. 4 shows schematic structural diagrams of the wearable device screen when bent.
Based on the above embodiments, it can be seen that if the device is a wristwatch, a bracelet, or a wearable device, the screen of the device may not cover the watchband area of the device, or may cover the watchband area of the device. The application proposes an alternative embodiment, in which the device may be a wristwatch, a bracelet or a wearable device, comprising a screen and a connection. The screen may be a flexible screen and the connection may be a wristband. Alternatively, the screen of the device or the display area of the screen may be partially or fully overlaid on the wristband of the device. Fig. 5 is a schematic hardware diagram of an implementation manner of a wearable device according to an embodiment of the present application, where a screen of the device extends to two sides, and a part of the screen is covered on a watchband of the device. In other embodiments, the screen of the device may also be entirely covered on the watchband of the device, which is not limited to the embodiment of the present application.
Specifically, the present invention provides a data processing method, which is applied to a wearable device, and in an embodiment of the data processing method, referring to fig. 6, the data processing method includes:
step S10, when reporting data reported by a wearable device sensor is received, judging whether the reporting data is data of a natural frequency attribute or not;
step S20, if the reported data is the data with the natural frequency attribute, judging whether the reported data is the first piece of data;
step S30, if the reported data is the first data, determining that the storage mode of the first data is a first storage mode;
step S40, if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode.
The method comprises the following specific steps:
step S10, when reporting data reported by a wearable device sensor is received, judging whether the reporting data is data of a natural frequency attribute or not;
in this embodiment, the wearable device includes a smart bracelet, such as a smart watch, and other devices, and includes smart glasses, where each wearable device sensor is provided on the wearable device, and each wearable device sensor is provided to facilitate a user or a user to acquire various data, such as step counting data, heart rate data, GPS data, etc., through the wearable device, where the step counting data, heart rate data, GPS data, etc. are acquired by different sensors of the wearable device sensor, and the step counting data, heart rate data, GPS data, etc. are acquired at a natural frequency, which may be set by the user on the wearable device, and since the natural frequency is set, the natural frequency may also be set to be changed, and thus, for some step counting data, heart rate data, GPS data, etc. whose acquisition times correspond to adjacent step counting data, different acquisition frequencies exist. In addition, it should be noted that, in this embodiment, a terminal that interacts with a wearable device or is data interaction is generally a mobile device such as a smart phone, and an application on the wearable device is often matched with an application on the mobile device, where the matching refers to that the application on the wearable device and a corresponding application on the mobile device have data sharing, so that a user can view each item of data detected by a sensor on the wearable device on the terminal, at present, since the application on the wearable device and the corresponding application data sharing process on the mobile device often need to temporarily store and report data to be reported, if the reporting frequency of the sensor on the wearable device is 1s, the wearable device will store and report to the terminal 3600 pieces of data for 1 hour, where, for example, a piece of heart rate data should at least include attributes such as a timestamp (timeblock), a data (value), and at present, a piece of heart rate data is stored in a form: the timetip 1value1, timetip 2value2. Timetip n value n approach, wherein data (value), i.e. heart rate values, can be stored with a char type value occupying 2 bytes, and a time stamp requires a long type value occupying 8 bytes to be stored, so that the existing storage approach causes excessive memory consumption of the wearable device, i.e. the time stamp needs to be repeatedly stored each time a piece of data, such as heart rate data, is stored.
In addition, although the wearable device may not cache or store data, the data is synchronized, and in the process of synchronizing the data, the data occupying a large number of bytes including the timestamp needs to be repeatedly synchronously reported, so that excessive memory consumption of the wearable device is caused, and in addition, the speed of synchronizing the data of the wearable device is also caused to be reduced.
In this embodiment, when receiving the report data reported by the wearable device sensor, determining whether the report data is data with a natural frequency attribute, and determining whether the report data is data with a natural frequency attribute mainly refers to whether the report attribute of the report data is a natural frequency, where the data manner of determining whether the report data is data with a natural frequency attribute may include the following two manners: in the first mode, a specific attribute identifier carried in the reported data is obtained, and judgment is performed according to whether the specific attribute identifier is carried or not, and in the embodiment, the data of the specific attribute identifier is reported according to a natural frequency; mode two: judging whether the data is preset data of a specific type or not, in this embodiment, the preset data of the specific type is reported according to a natural frequency, wherein the preset data of the specific type may refer to preset data corresponding to body indexes related to a human body and running according to a certain rule, such as heart rate data and the like.
Step S20, if the reported data is the data with the natural frequency attribute, judging whether the reported data is the first piece of data;
if the reported data is the data with the natural frequency attribute, judging whether the reported data is the first data or not, wherein the judging mode of judging whether the reported data is the first data comprises the following modes: the method comprises the steps of firstly, obtaining whether the reported data carries a specific tag of a corresponding sensor of the wearable device, wherein when the corresponding sensor of the wearable device is not detected in a preset time period, marking the data which is obtained by first detection after the detection is not carried out in the preset time period, and secondly, judging whether the reported data carries configuration information of first data, if the reported data carries the configuration information of the first data, determining that the reported data is the first data, and when the configuration information of the wearable device is changed, correspondingly sending the configuration information to the first data after the configuration information is changed by the wearable device.
Step S30, if the reported data is the first data, determining that the storage mode of the first data is a first storage mode;
if the reported data is the first data, determining that the storage mode of the first data is a first storage mode, wherein the first storage mode is a storage mode with a stored time stamp.
Specifically, if the reported data is the first piece of data, determining that the storage mode of the first piece of data is the first storage mode includes:
step S31, if the reported data is the first data, acquiring a first time stamp, a first reporting frequency, a first data quantity count and the content of the first data;
if the reported data is the first piece of data, acquiring attribute information of the first piece of data, analyzing and acquiring a first timestamp of the first piece of data and content of the first piece of data from the attribute information, wherein the first reporting frequency can be acquired from configuration information carried in the first piece of data, that is, the first reporting frequency is set in the wearable device, and the first data quantity count is generally 1.
And step S32, sorting and storing the first timestamp, the first reporting frequency, the first data quantity count and the content of the first piece of data according to a first preset sequence to obtain first sorted and stored data.
The first timestamp is stored, and in addition, the first reporting frequency, the first data number count, and the content of the first data are sequentially stored according to a first preset sequence, so as to obtain first sequence storage data, specifically, the first sequence may be the lowest sequence priority of the content of the first data, and the first sequence may be specifically a first timestamp (startTime), a first data number count (count), a reporting frequency (interval), and a content of the first data (value 1).
Step S40, if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode.
If the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode, and in the second storage mode, subdividing the second storage mode according to the substantial attribute of the non-first data, namely subdividing the second storage mode into a first storage sub-mode and a second storage sub-mode. In order to reduce the energy consumption of the wearable device.
When receiving report data reported by a wearable device sensor, judging whether the report data is data with inherent frequency attribute; if the reported data are the data with the natural frequency attribute, judging whether the reported data are the first piece of data or not; if the reported data is the first data, determining that the storage mode of the first data is a first storage mode; and if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode. In the application, when the data with the natural frequency attribute is received, the data is not stored according to the natural storage mode, but different storage modes are adopted according to whether the reported data is the first data, namely if the reported data is the first data, the storage mode of the first data is determined to be the first storage mode; if the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode, so as to reduce the phenomenon that the stored data occupies too much storage space due to the inherent storage mode, and further cause resource waste.
Further, in another embodiment of the data processing method of the present invention, if the reported data is non-first data, the step of determining that the storage mode of the non-first data is a second storage mode includes:
step S41, if the reported data is non-first data, a second timestamp of the non-first data is obtained, and whether the difference value between the second timestamp and a third timestamp of the previous data of the non-first data exceeds a reporting period is determined;
if the reported data is non-first data, a second timestamp of the non-first data is obtained, whether a difference value between the second timestamp and a third timestamp of a previous data of the non-first data exceeds a reporting period is determined, and specifically, whether a difference value between the second timestamp and a third timestamp of a previous data of the non-first data is equal to the reporting period is generally determined.
In this embodiment, if the reported data is non-first data, a second timestamp of the non-first data is obtained, for example, the second timestamp may be 1 point for 18 minutes and 5 seconds, it is determined whether a difference between the second timestamp and a third timestamp of a previous data of the non-first data exceeds a reporting period, for example, the third timestamp may be 1 point for 18 minutes and 7 seconds, and a reporting period is 1 second, it is determined that a difference between the second timestamp and the third timestamp of the previous data of the non-first data exceeds or is not equal to a reporting period, and a reporting period is 2 seconds, and it is determined that a difference between the second timestamp and the third timestamp of the previous data of the non-first data is equal to a reporting period.
Step S42, if the difference between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data exceeds a reporting period, determining that the storage mode of the non-first piece of data is the first sub-storage mode in the second storage mode;
if the difference between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data exceeds a reporting period, determining that the storage mode of the non-first piece of data is a first sub-storage mode in the second storage mode, and in the first sub-storage mode in the embodiment, storing the non-first piece of data as new data.
Specifically, if the difference between the second timestamp and the third timestamp of the data that is not the first data exceeds a reporting period, determining that the storage mode of the non-first data is the first sub-storage mode in the second storage mode includes:
step S421, if the difference between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data exceeds a reporting period, acquiring the second timestamp, the second reporting frequency, the second data quantity count and the content of the non-first piece of data;
If the difference between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data exceeds a reporting period, the second timestamp, the second reporting frequency, the second data quantity count and the content of the non-first piece of data are obtained, and it is noted that the second reporting frequency is determined according to the third timestamp and the second timestamp, and the second data quantity count of the non-first piece of data may also be 1, that is, the second data quantity count may be the same as the first data quantity count.
And step S422, storing the second timestamp, the second reporting frequency, the second data quantity count, and the content of the non-first data in a sequence according to a second preset sequence, so as to obtain third sorted storage data.
And after the second timestamp, the second reporting frequency, the second data quantity count and the content of the non-first data are obtained, orderly sequencing and storing according to a second preset sequence to obtain third sequencing and storing data. Specifically, that is, when the reporting time difference between the nth data and the n+1th data exceeds the reporting period, the n+1th data is used as a reference, and the storage form of the corresponding n+1th data is as follows: startTime1interval N value1value 2..value N, startTime2interval M valueN +1value n+2..value m.
Step S43, if the difference between the second timestamp and the third timestamp of the data that is not the first data does not exceed a reporting period, determining that the storage mode of the non-first data is a second sub-storage mode in the second storage mode.
If the difference value between the second timestamp and the third timestamp of the data before the non-first data does not exceed a reporting period, determining that the storage mode of the non-first data is a second sub-storage mode in a second storage mode, and in the second sub-storage mode, not storing the timestamp of the non-first data correspondingly.
In this embodiment, if the reported data is non-first data, a second timestamp of the non-first data is obtained, and whether a difference value between the second timestamp and a third timestamp of a previous piece of data of the non-first data exceeds a reporting period is determined; if the difference value between the second time stamp and the third time stamp of the previous data of the non-first data exceeds a reporting period, determining that the storage mode of the non-first data is a first sub-storage mode in a second storage mode; and if the difference value between the second timestamp and the third timestamp of the data which is not the first data is not more than one reporting period, determining that the storage mode of the non-first data is a second sub-storage mode in a second storage mode. Because the non-first data is classified and stored according to whether the reporting period is more than one among different data, the storage data occupies too much storage space due to the inherent storage mode and the storage disorder is avoided.
Further, in another embodiment of the data processing method provided by the present invention, if the difference between the second timestamp and the third timestamp of the data that is not the first data does not exceed a reporting period, the step of determining that the storage mode of the non-first data is the second sub-storage mode in the second storage mode includes:
step S431, if the difference between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data does not exceed a reporting period, acquiring a target count corresponding to the non-first piece of data according to the first reporting frequency and the second timestamp;
in this embodiment, if the difference between the second timestamp and the third timestamp of the data that is not the first data does not exceed a reporting period, the target count corresponding to the non-first data is obtained according to the first reporting frequency and the second timestamp, and the purpose of obtaining the target count is to avoid the storing of the timestamp, but to perform storing of the non-first data according to the target count.
Step S432, updating the first data number count in the first sorted storing data according to the target count, and adding the non-first data content of the non-first data to the first sorted storing data to obtain second sorted storing data.
Specifically, for example, the first data number count is 4, the target count is 5, and the first data number count is updated to 5.
The step of obtaining second sorted stored data includes:
a1, adding non-first data content of non-first data into the first ordering storage data to obtain second ordering storage data; wherein the priority of the non-first piece of data content is lowest.
That is, in this embodiment, the first data amount count in the first sorted storing data is updated according to the target count, and the non-first data content of the non-first data is added to the first sorted storing data to obtain the second sorted storing data, where the priority of the non-first data content is the lowest, specifically, the second sorted storing data may be: startTime1interval N value1value2.
In this embodiment, if the difference between the second timestamp and the third timestamp of the data that is not the first data does not exceed a reporting period, the target count corresponding to the non-first data is obtained according to the first reporting frequency and the second timestamp; and updating a first data quantity count in the first sorting storage data according to the target count, and adding the non-first data content of the non-first data to the first sorting storage data to obtain second sorting storage data. That is, in the present embodiment, the repeated storage of bytes is avoided from occupying a large number of corresponding time stamps, and thus, the consumption of the wearable device power source is reduced.
Further, in another embodiment of the data processing method provided by the present invention, when receiving report data reported by a wearable device sensor, the step of determining whether the report data is data of a natural frequency attribute includes:
step S11, when receiving report data reported by a wearable device sensor, acquiring the type of the report data;
in this embodiment, when the report data reported by the wearable device sensor is received, the type of the report data is obtained, and the purpose of obtaining the type of the report data is to determine whether the report data is data with a natural frequency attribute, that is, in this embodiment, the data with the natural frequency attribute is divided according to the type.
And step S12, determining that the reported data is the data of the natural frequency attribute if the type of the reported data is the heart rate data reported by the heart rate sensor.
If the type of the reported data is heart rate data reported by a heart rate sensor, determining that the reported data is data with natural frequency attribute, wherein the range of the heart rate value is (0, 220), and storing by using a char type storage instead of long type value storage occupying more bytes is needed, so that the waste of resources is avoided.
In addition, an embodiment of the present invention further provides a data processing device, where the data processing device is applied to a wearable device, and the data processing device includes:
the receiving module is used for judging whether the reported data is the data of the natural frequency attribute or not when the reported data reported by the wearable device sensor is received;
the judging module is used for judging whether the reported data is first data or not if the reported data is the data with the natural frequency attribute;
the first determining module is used for determining that the storage mode of the first piece of data is a first storage mode if the reported data is the first piece of data;
and the second determining module is used for determining that the storage mode of the non-first data is a second storage mode if the reported data is the non-first data.
Optionally, the first determining module includes:
the first acquisition sub-module is used for acquiring a first timestamp, a first reporting frequency, a first data quantity count and the content of the first data if the reported data is the first data;
and the storage sub-module is used for sequencing and storing the first timestamp, the first reporting frequency, the first data quantity count and the content of the first piece of data according to a first preset sequence to obtain first sequencing and storing data.
Optionally, the second determining module includes:
the second obtaining sub-module is used for obtaining a second timestamp of the non-first data if the reported data is the non-first data, and determining whether the difference value between the second timestamp and a third timestamp of the previous data of the non-first data exceeds a reporting period;
the first determining submodule is used for determining that the storage mode of the non-first data is a first sub-storage mode in a second storage mode if the difference value between the second time stamp and the third time stamp of the data which is not the first data exceeds a reporting period;
and the second determining submodule is used for determining that the storage mode of the non-first data is a second sub-storage mode in a second storage mode if the difference value between the second timestamp and the third timestamp of the data which is not the first data does not exceed a reporting period.
Optionally, the second determining submodule includes:
the first acquisition unit is used for acquiring a target count corresponding to the non-first data according to the first reporting frequency and the second timestamp if the difference value between the second timestamp and the third timestamp of the data which is not the first data does not exceed a reporting period;
And the second acquisition unit is used for updating the first data quantity count in the first sorting storage data according to the target count, and adding the non-first data content of the non-first data to the first sorting storage data to obtain second sorting storage data.
Optionally, the second acquisition unit includes:
an adding subunit, configured to add non-first data content of non-first data to the first sorted storage data, to obtain second sorted storage data;
wherein the priority of the non-first piece of data content is lowest.
Optionally, the first determining submodule includes:
a third obtaining unit, configured to obtain, if a difference between the second timestamp and a third timestamp of a previous piece of data of the non-first piece of data exceeds a reporting period, the second timestamp, a second reporting frequency, a second data amount count, and a content of the non-first piece of data;
and the sorting unit is used for sorting and storing the second timestamp, the second reporting frequency, the second data quantity count and the content of the non-first data according to a second preset sequence to obtain third sorted and stored data.
Optionally, the receiving module includes:
the third acquisition sub-module is used for acquiring the type of the reported data when the reported data reported by the wearable device sensor is received;
and the third determination submodule is used for determining that the reported data is the data of the natural frequency attribute if the type of the reported data is the heart rate data reported by the heart rate sensor.
In addition, the embodiment of the invention also provides a wearable device, which comprises: memory 109, processor 110, and a data processing program stored on memory 109 and executable on processor 110, which when executed by processor 110, perform the steps of the various embodiments of the data processing method described above.
Furthermore, the present invention provides a computer storage medium storing one or more programs, which are further executable by one or more processors for implementing the steps of the embodiments of the data processing method described above.
The expansion content of the specific implementation manners of the wearable device and the storage medium (i.e., the computer storage medium) of the present invention is basically the same as that of the embodiments of the data processing method described above, and will not be described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a wearable device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.
Claims (7)
1. A data processing method, wherein the data processing method is applied to a wearable device, the data processing method comprising:
when receiving report data reported by a wearable device sensor, judging whether the report data is data of a natural frequency attribute;
if the reported data are the data with the natural frequency attribute, judging whether the reported data are the first piece of data or not;
if the reported data is the first data, determining that the storage mode of the first data is a first storage mode specifically includes: if the reported data is the first data, acquiring a first time stamp, a first reporting frequency, a first data quantity count and the content of the first data; sequencing and storing the first timestamp, the first reporting frequency, the first data quantity count and the content of the first piece of data according to a first preset sequence to obtain first sequencing and storing data;
If the reported data is non-first data, determining that the storage mode of the non-first data is a second storage mode, specifically including: if the reported data is non-first data, acquiring a second timestamp of the non-first data, and determining whether a difference value between the second timestamp and a third timestamp of a previous piece of data of the non-first data exceeds a reporting period;
if the difference value between the second time stamp and the third time stamp of the previous data of the non-first data exceeds a reporting period, determining that the storage mode of the non-first data is a first sub-storage mode in a second storage mode;
if the difference value between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data does not exceed a reporting period, determining that the storage mode of the non-first piece of data is a second sub-storage mode in a second storage mode;
if the difference between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data does not exceed a reporting period, determining that the storage mode of the non-first piece of data is a second sub-storage mode in a second storage mode includes:
If the difference value between the second time stamp and the third time stamp of the previous data of the non-first data does not exceed a reporting period, acquiring a target count corresponding to the non-first data according to the first reporting frequency and the second time stamp;
and updating a first data quantity count in the first sorting storage data according to the target count, and adding the non-first data content of the non-first data to the first sorting storage data to obtain second sorting storage data.
2. The data processing method of claim 1, wherein the step of adding non-first data content other than first data to the first sorted stored data to obtain second sorted stored data comprises:
adding non-first data content of non-first data into the first ordering storage data to obtain second ordering storage data;
wherein the priority of the non-first piece of data content is lowest.
3. The method for processing data according to claim 1, wherein the step of determining that the storage mode of the non-first data is the first sub-storage mode in the second storage mode if the difference between the second time stamp and the third time stamp of the data preceding the non-first data exceeds a reporting period comprises:
If the difference value between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data exceeds a reporting period, acquiring the second timestamp, the second reporting frequency, the second data quantity count and the content of the non-first piece of data;
and sequencing and storing the second timestamp, the second reporting frequency, the second data quantity count and the content of the non-first data according to a second preset sequence to obtain third sequencing and storing data.
4. A data processing method according to any one of claims 1 to 3, wherein the step of determining, when receiving report data reported by a wearable device sensor, whether the report data is data of a natural frequency attribute includes:
when receiving report data reported by a wearable device sensor, acquiring the type of the report data;
and if the type of the reported data is heart rate data reported by a heart rate sensor, determining that the reported data is data with inherent frequency attribute.
5. A data processing apparatus, wherein the data processing apparatus is applied to a wearable device, the data processing apparatus comprising:
the receiving module is used for judging whether the reported data is the data of the natural frequency attribute or not when the reported data reported by the wearable device sensor is received;
The judging module is used for judging whether the reported data is first data or not if the reported data is the data with the natural frequency attribute;
the first determining module is configured to determine, if the reported data is first data, that a storage mode of the first data is a first storage mode, where the first determining module is specifically configured to: if the reported data is the first data, acquiring a first time stamp, a first reporting frequency, a first data quantity count and the content of the first data; sequencing and storing the first timestamp, the first reporting frequency, the first data quantity count and the content of the first piece of data according to a first preset sequence to obtain first sequencing and storing data;
the second determining module is configured to determine, if the reported data is non-first data, that a storage manner of the non-first data is a second storage manner, and specifically configured to obtain a second timestamp of the non-first data if the reported data is non-first data, and determine whether a difference between the second timestamp and a third timestamp of a previous data of the non-first data exceeds a reporting period; if the difference value between the second time stamp and the third time stamp of the previous data of the non-first data exceeds a reporting period, determining that the storage mode of the non-first data is a first sub-storage mode in a second storage mode; if the difference value between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data does not exceed a reporting period, determining that the storage mode of the non-first piece of data is a second sub-storage mode in a second storage mode;
If the difference between the second timestamp and the third timestamp of the previous piece of data of the non-first piece of data does not exceed a reporting period, determining that the storage mode of the non-first piece of data is a second sub-storage mode in a second storage mode includes: if the difference value between the second time stamp and the third time stamp of the previous data of the non-first data does not exceed a reporting period, acquiring a target count corresponding to the non-first data according to the first reporting frequency and the second time stamp; and updating a first data quantity count in the first sorting storage data according to the target count, and adding the non-first data content of the non-first data to the first sorting storage data to obtain second sorting storage data.
6. A wearable device, the wearable device comprising: memory, a processor and a data processing program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the data processing method according to any one of claims 1 to 4.
7. A storage medium having stored thereon a data processing program which, when executed by a processor, implements the steps of the data processing method according to any one of claims 1 to 4.
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