CN116225493A - Intelligent hardware upgrade firmware configuration generation method - Google Patents
Intelligent hardware upgrade firmware configuration generation method Download PDFInfo
- Publication number
- CN116225493A CN116225493A CN202310116376.8A CN202310116376A CN116225493A CN 116225493 A CN116225493 A CN 116225493A CN 202310116376 A CN202310116376 A CN 202310116376A CN 116225493 A CN116225493 A CN 116225493A
- Authority
- CN
- China
- Prior art keywords
- intelligent hardware
- data
- user data
- firmware
- personalized
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000003287 optical effect Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 abstract description 6
- 238000012545 processing Methods 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/65—Updates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Mining & Analysis (AREA)
- Stored Programmes (AREA)
Abstract
The embodiment of the application provides a method and a system for generating personalized firmware of intelligent hardware, wherein a server side processes data acquired by the intelligent hardware all the day, and can provide personalized upgrade firmware for a user; the method comprises the steps that data with data volume larger than a certain threshold value are adopted for more than three continuous days, a time period frequently used by a user is analyzed in the data, and after the data volume reaches a second threshold value, personalized firmware is generated according to the data and the data processing information; the personalized firmware generated by the data can be more accurately matched with the personalized firmware upgrading requirement of the user.
Description
Technical Field
The application relates to the technical field of intelligent hardware firmware upgrading, in particular to a method for generating intelligent hardware firmware upgrading configuration.
Background
With the development of IoT (Internet of Things ) technology, intelligent hardware, particularly wearable devices, has come to a new round of development waves. The intelligent wearable device integrating the radio frequency identification technology, the infrared induction technology and the laser scanning technology becomes a new generation trend product.
With the advent of the information age, the design of intelligent hardware manufacturers is difficult to meet the overall demands of users, and more manufacturers provide more updated functions for the updated firmware as additional values to the users. Firmware version updating of intelligent hardware at present is generally to apply OTA (Over-the-Air Technology) to update remote Technology, and the general flow is as follows: the method comprises the steps that a server side firstly manages firmware versions, when updating is needed, the server side pushes an update package to an intelligent hardware side, after the update package is licensed by a user, the intelligent hardware downloads the update package and writes the partition, and after the writing is completed, the device is restarted, and the updating is completed.
The inventor finds that the current manufacturers all adopt a firmware upgrading mode with a fixed version, however, the upgrading mode cannot enable the intelligent wearable equipment to play the maximum function, for example, data are acquired in a full period and without difference in the use process, the battery endurance is reduced, and the customized development of intelligent hardware is greatly hindered. Therefore, how to configure and generate personalized upgrade firmware becomes a problem that vendors need to solve.
Disclosure of Invention
The embodiment of the application provides a method for generating intelligent hardware personalized firmware mainly by a server side, which is used for meeting the personalized firmware upgrading requirement of intelligent hardware of a user in the prior art.
The embodiment of the application provides a method for generating intelligent hardware personalized firmware, which comprises the following steps:
the sensor module of the intelligent hardware collects user data all the day; uploading the acquired user data and the user data attribute to a server;
the server judges whether the user data has data collected for more than three continuous days,
if so, judging whether the data volume of the data collected for more than three continuous days is larger than a first threshold value;
if so, analyzing a time period of coincidence data from the data acquired for more than three continuous days, and marking the time period as a time period frequently used by a user; the intelligent hardware continuously uploads the user data to the server until the sum of the data acquired for more than three consecutive days and the data volume of the user data continuously uploaded is larger than a second threshold, wherein the second threshold is larger than the first threshold; analyzing whether the user data which is continuously uploaded coincides with the marked time period or not;
if yes, generating a personalized firmware package according to the user data attribute, the data collected for more than three continuous days, the user data which is continuously uploaded and the marked time period;
if not, continuing to collect the user data and uploading the user data to the server.
Further, the sensor module includes at least one of a temperature sensor, an optical heart rate sensor, an ambient light sensor, and a gyroscope.
Further, the user data is at least one of a user body surface temperature, a heart rate and an ambient light intensity.
Further, the collected user data is uploaded to the server through Bluetooth low power consumption.
Further, the intelligent hardware is an intelligent finger ring, an intelligent watch or an intelligent bracelet.
Further, the uploading of the collected user data and the user data attribute to the server side is that the intelligent hardware uploads the collected user data to the IOT platform, and the firmware collects the user data from the IOT platform and uploads the user data to the server side through bluetooth or WiFi.
Further, the intelligent hardware judges whether the user data is in a wearing state currently, and if the user data is in the wearing state, the intelligent hardware collects the user data.
Further, the generated personalized firmware package is stored in a firmware information management library of the intelligent hardware.
Further, after the personalized firmware is generated, an upgrade task is issued on the platform, and then the platform pushes the personalized firmware to the intelligent hardware.
The embodiment of the application also provides a system for generating the intelligent hardware personalized firmware, and a method for generating the intelligent hardware personalized firmware is executed.
The embodiment provided by the application has at least the following beneficial effects:
the embodiment of the application provides a technical scheme of a method for generating personalized firmware of intelligent hardware, wherein a server side processes data acquired by the intelligent hardware all the day, and can provide personalized upgrading firmware for a user; the method comprises the steps that data with data volume larger than a certain threshold value are adopted for more than three continuous days, and a time period frequently used by a user is analyzed in the data to generate personalized firmware; the personalized firmware generated by the data can be more accurately matched with the personalized firmware upgrading requirement of the user.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a flowchart of a method for generating intelligent hardware personalized firmware according to an embodiment of the present application;
fig. 2 is a schematic diagram of a generating system of intelligent hardware personalized firmware according to an embodiment of the present application.
In fig. 1-2: 1. intelligent hardware; 2. a server; 3. and (5) cloud end.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Note that, the intelligent hardware 1 described in the present application may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto.
The intelligent hardware 1 can be any intelligent wearable device, intelligent watch, intelligent bracelet, intelligent foot ring, intelligent clothing, intelligent trousers, intelligent footware, etc. which can collect human health data, and can be especially, but not limited to, intelligent finger ring.
The intelligent hardware 1 may refer broadly to one of a plurality of intelligent hardware 1, and those skilled in the art will appreciate that the number of terminals may be greater or lesser. For example, the number of the intelligent hardware 1 may be only one, or the number of the intelligent hardware 1 may be tens or hundreds, or more, and the number and the device type of the intelligent hardware 1 are not limited in the embodiment of the present application.
Firmware (Firmware) is a program written in EPROM (erasable programmable read only memory) or EEPROM (electrically erasable programmable read only memory).
It should be noted that, the firmware refers to a device "driver" stored in the device, through which an operating system can implement operation of a specific machine according to a standard device driver, for example, an optical drive, a recorder, etc. all have internal firmware.
It should be noted that firmware is software that serves as the bottommost layer of the system. In the hardware device, the firmware is the soul of the hardware device, and because some hardware devices have no other software components except the firmware, the firmware also determines the functions and performances of the hardware device.
The method of the application requires three parties of intelligent hardware 1, a server 2 and a cloud 3 to cooperatively realize, and as shown in fig. 1 and 2, the embodiment of the invention provides a method for generating personalized firmware of intelligent hardware 1, which comprises the following steps:
the sensor module of the intelligent hardware 1 collects user data all the day; uploading the acquired user data and the user data attribute to a server side 2;
the server 2 judges whether the user data has data collected for more than three consecutive days,
if so, judging whether the data volume of the data collected for more than three continuous days is larger than a first threshold value;
if so, analyzing a time period of coincidence data from the data acquired for more than three continuous days, and marking the time period as a time period frequently used by a user; the intelligent hardware 1 continues uploading the user data to the server 2 until the sum of the data acquired for more than three consecutive days and the data amount of the user data which is continuously uploaded is greater than a second threshold, wherein the second threshold is greater than the first threshold; analyzing whether the user data which is continuously uploaded coincides with the marked time period or not;
if yes, generating a personalized firmware package according to the user data attribute, the data collected for more than three continuous days, the user data which is continuously uploaded and the marked time period;
if not, continuing to collect the user data and uploading the user data to the server 2.
It should be noted that, in the method of the present application, data processing is mainly completed by the server 2.
It is to be noted that the sensor module includes at least one of a temperature sensor, an optical heart rate sensor, an ambient light sensor, and a gyroscope, at least one of each sensor.
The user data attribute collected in the embodiment of the application is at least one of user body surface temperature, heart rate and environment light intensity. The present application is not limited to this, and other parameters such as humidity may be used.
And uploading the acquired user data to the server side 2 through Bluetooth low power consumption. The user data collected can be sent to the server 2 by any other existing or future new communication technology.
It should be noted that, the uploading the collected user data and the user data attribute to the server 2 is that the intelligent hardware 1 uploads the collected user data to the IOT platform, and the firmware collects the user data from the IOT platform and uploads the user data to the server 2 through bluetooth or WiFi.
The IOT platform can perform preliminary processing on data, and remove data which is lower than a certain frequency or data which cannot occur in user data, so as to reduce the data processing burden of the server side 2;
the IOT platform sends a command for inquiring whether the data is complete to the intelligent hardware 1, the intelligent hardware 1 receives the command to carry out self-checking whether the data uploaded to the server side 2 is complete or not, whether the data is correct or not, the intelligent hardware 1 carries out self-checking after receiving the command, a self-checking result is sent to the IOT platform after the self-checking is finished, and if abnormal conditions occur, an engineer can repair the intelligent hardware 1 according to the feedback result.
The IOT platform performs importance marking and secondary importance marking on the data uploaded by the received hardware, and sends the marked data to the server 2.
It should be noted that, the collected data does not have to be collected all the day, and the intelligent hardware 1 may also determine whether the user data is currently in a wearing state, if so, the intelligent hardware 1 collects the user data.
It should be noted that, the collected data does not have to be collected all the day, and the intelligent hardware 1 may also determine whether the user data is currently in a use state, and if the user data is in a use state, the intelligent hardware 1 collects the user data.
In the embodiment of the application, 3 days of data are preferable, and according to multiple experiments of the inventor, continuous 3 days of data basically meet the personalized requirements of users, and of course, if the data are 4 days or more, the generated firmware is more accurate, but the data processing amount is large, and the time spent for acquisition is longer, so that the efficiency is low.
The data has the limitation of days, and the limitation of the data volume, the data volume which is larger than a first threshold value capable of observing preliminary rules such as the daily use time of a user can be processed first, the processing efficiency is improved, and the value of the first threshold value can be set according to the experience of a person skilled in the art, and can also be obtained according to long-term experimental data.
The first threshold amount of data, although giving rise to a preliminary rule, is insufficient to meet the generation of the personalized firmware, so further data collection is required, and the generation of the personalized firmware is not performed until the data sufficient to generate the personalized firmware is collected.
The collected data are respectively processed differently according to the first threshold value and the second threshold value, so that the efficiency of generating personalized firmware can be improved.
It should be noted that, the generated personalized firmware package is stored in the firmware information management library of the intelligent hardware 1.
After the personalized firmware is generated, an upgrade task is issued on the platform, and then the platform pushes the personalized firmware to the intelligent hardware 1.
For example, after the server of the server 2 receives the temperature data from each of the access ports, it first determines whether the data satisfies the requirement of having acquisition every day (three days or more), and whether the data amount reaches a certain level. Such as: samsung (i.e., second threshold): the data quantity reaches 1800; two star threshold (i.e., first threshold): the data amount reaches 1500; a star: the acquired data is less than 1000. After the acquired data volume reaches the two-star level, starting to analyze the data, analyzing the time period of the coincident data through the uploaded data, preferentially marking the time period as the time period frequently used by a user, analyzing whether the data volume reported by the intelligent hardware 1 is coincident with the marked time period or not after the data volume reported by the intelligent hardware 1 reaches the three-star level, and if so, generating a special firmware packet; and if not, continuing to collect data analysis. And by analogy, after the firmware package is generated, the firmware is pushed to the user for upgrading, so that the optimal function level of the equipment is achieved, and the user experience can be optimized.
It should be noted that the big data platform performs the matched data analysis. For example, a certain device (for example, a ring for collecting temperature) can obtain a scene used by a user, such as a time point of wearing frequently, a wearing duration and a wearing environment, through the attribute collected by the device. And then analyzing the scene and duration of the user using the equipment according to the acquired information to generate a proprietary firmware package. The power consumption of the equipment is guaranteed to be optimal, if the time point of the equipment which is frequently worn by a user is 9-18 points, a special firmware package is generated, the temperature is collected for the user at the time point, and the other time points are in a silent state, so that the power consumption condition of the equipment is guaranteed, and the user experience is optimal. And storing the generated exclusive firmware package in a device firmware information management library, pushing a device firmware upgrading message to each platform (IOS/APP/applet/server) used by the user, and actively acquiring a firmware upgrading task by the device. In another way, after the proprietary firmware is produced, the platform issues the upgrade task, and then the platform is pushed to each device.
The embodiment of the application also provides a system for generating the personalized firmware of the intelligent hardware 1, and the method for generating the personalized firmware of the intelligent hardware 1 is executed.
It should be noted that, the firmware management background may actively detect the upgrade condition of the device. Under the condition that the big data platform is matched for use, the firmware management module can clearly detect various abnormal conditions, and the equipment firmware management module can be adapted to each platform to achieve equipment output and specific use conditions in the most intuitive mode.
It should be noted that, the dedicated firmware package generated after the analysis of the data generated by the device and the user is combined, and the upgrade task is directly generated by the AI matching device. And adding a task queue, pushing an upgrade task to the exclusive user equipment in cooperation with applets such as android or IOS APP, detecting byte transmission progress through a platform matched technology, and generating an update progress bar. The platform can more intuitively check the upgrading condition of the equipment so as to exclude the condition analysis of certain firmware upgrading failures.
It should also be noted that 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.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (10)
1. The method for generating the intelligent hardware personalized firmware is characterized by comprising the following steps of:
the sensor module of the intelligent hardware collects user data all the day; uploading the acquired user data and the user data attribute to a server;
the server judges whether the user data has data collected for more than three continuous days,
if so, judging whether the data volume of the data collected for more than three continuous days is larger than a first threshold value;
if so, analyzing a time period of coincident data from the data acquired for more than three continuous days, and marking the time period as a time period frequently used by a user; the intelligent hardware continuously uploads the user data to the server until the sum of the data acquired for more than three consecutive days and the data volume of the user data continuously uploaded is larger than a second threshold, wherein the second threshold is larger than the first threshold; analyzing whether the user data which is continuously uploaded coincides with the marked time period or not;
if yes, generating a personalized firmware package according to the user data attribute, the data collected for more than three continuous days, the user data which is continuously uploaded and the marked time period;
if not, continuing to collect the user data and uploading the user data to the server.
2. The method of claim 1, wherein the sensor module comprises at least one of a temperature sensor, an optical heart rate sensor, an ambient light sensor, and a gyroscope.
3. The method of claim 1, wherein the user data attribute is at least one of a user body surface temperature, a heart rate, and an ambient light intensity.
4. The method for generating intelligent hardware personalized firmware according to claim 1, wherein the collected user data is uploaded to the server through bluetooth with low power consumption.
5. The method for generating intelligent hardware personalized firmware according to claim 1, wherein the intelligent hardware is an intelligent finger ring, an intelligent watch or an intelligent bracelet.
6. The method for generating the intelligent hardware personalized firmware according to claim 1, wherein the uploading the collected user data and the user data attribute to a server side is that the intelligent hardware uploads the collected user data to an IOT platform, and firmware collects the user data from the IOT platform and uploads the user data to the server side through bluetooth or WiFi.
7. The method for generating intelligent hardware personalized firmware according to claim 1, wherein the intelligent hardware judges whether the intelligent hardware is currently in a wearing state, and if the intelligent hardware is in the wearing state, the intelligent hardware collects the user data.
8. The method for generating intelligent hardware personalized firmware according to claim 6, wherein the generated personalized firmware package is stored in a firmware information management library of the intelligent hardware.
9. The method for generating intelligent hardware personalized firmware according to claim 6, wherein after the personalized firmware package is generated, an upgrade task is issued on a platform, and then the platform pushes the personalized firmware package onto the intelligent hardware.
10. A system for generating intelligent hardware personalized firmware, characterized in that the method for generating intelligent hardware personalized firmware according to any one of claims 1 to 9 is performed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310116376.8A CN116225493A (en) | 2023-02-15 | 2023-02-15 | Intelligent hardware upgrade firmware configuration generation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310116376.8A CN116225493A (en) | 2023-02-15 | 2023-02-15 | Intelligent hardware upgrade firmware configuration generation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116225493A true CN116225493A (en) | 2023-06-06 |
Family
ID=86570899
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310116376.8A Pending CN116225493A (en) | 2023-02-15 | 2023-02-15 | Intelligent hardware upgrade firmware configuration generation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116225493A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140223421A1 (en) * | 2013-02-06 | 2014-08-07 | Abraham Carter | Updating Firmware to Customize the Performance of a Wearable Sensor Device for a Particular Use |
| WO2016037354A1 (en) * | 2014-09-12 | 2016-03-17 | 华为技术有限公司 | Wearable device and data acquisition method thereof |
| US20170083312A1 (en) * | 2015-09-22 | 2017-03-23 | Mc10, Inc. | Method and system for crowd-sourced algorithm development |
| CN106681619A (en) * | 2015-11-05 | 2017-05-17 | 中国移动通信集团公司 | Method and device for controlling energy consumption of electronic equipment |
| CN108683575A (en) * | 2018-05-11 | 2018-10-19 | 福来宝电子(深圳)有限公司 | Intelligent sound box control method and intelligent sound box based on user behavior custom |
| CN109388224A (en) * | 2018-09-26 | 2019-02-26 | 广东小天才科技有限公司 | A kind of power consumption optimization method of smart machine, system and smart machine |
| CN114073493A (en) * | 2020-08-18 | 2022-02-22 | 华为终端有限公司 | Physiological data acquisition method and device and wearable equipment |
-
2023
- 2023-02-15 CN CN202310116376.8A patent/CN116225493A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140223421A1 (en) * | 2013-02-06 | 2014-08-07 | Abraham Carter | Updating Firmware to Customize the Performance of a Wearable Sensor Device for a Particular Use |
| WO2016037354A1 (en) * | 2014-09-12 | 2016-03-17 | 华为技术有限公司 | Wearable device and data acquisition method thereof |
| US20170083312A1 (en) * | 2015-09-22 | 2017-03-23 | Mc10, Inc. | Method and system for crowd-sourced algorithm development |
| CN106681619A (en) * | 2015-11-05 | 2017-05-17 | 中国移动通信集团公司 | Method and device for controlling energy consumption of electronic equipment |
| CN108683575A (en) * | 2018-05-11 | 2018-10-19 | 福来宝电子(深圳)有限公司 | Intelligent sound box control method and intelligent sound box based on user behavior custom |
| CN109388224A (en) * | 2018-09-26 | 2019-02-26 | 广东小天才科技有限公司 | A kind of power consumption optimization method of smart machine, system and smart machine |
| CN114073493A (en) * | 2020-08-18 | 2022-02-22 | 华为终端有限公司 | Physiological data acquisition method and device and wearable equipment |
Non-Patent Citations (1)
| Title |
|---|
| 邵理煜等: "《商业银行大数据治理研究与实践》", 30 September 2020, 机械工业出版社, pages: 94 - 96 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10914619B2 (en) | Electronic device and hardware diagnosis result-based process execution method thereof | |
| US10275200B2 (en) | Activity information processing method and electronic device supporting the same | |
| US11086290B2 (en) | Electronic apparatus for monitoring state of machine tool and control method thereof | |
| CN108701495B (en) | Method for integrating and providing data collected from a plurality of devices and electronic device for implementing the method | |
| US10044215B2 (en) | Method, apparatus, and server for updating software | |
| CN105955973B (en) | User information processing method and electronic device supporting the same | |
| CN109960507A (en) | Compile optimization method, device, storage medium, intelligent terminal and server | |
| CN108376546A (en) | Pronunciation inputting method and the electronic equipment for supporting this method and system | |
| KR102365412B1 (en) | Electronic device and method for authenticating finger print | |
| CN110109899B (en) | Internet of things data filling method, device and system | |
| KR20170077730A (en) | Content recognition device and method for controlling thereof | |
| CN109756562B (en) | User interface pushing method and device, electronic equipment and storage medium | |
| KR20200015000A (en) | Method for memory leak detection and electronic device thereof | |
| KR20180023330A (en) | Method for recognizing location and electronic device implementing the same | |
| WO2020169876A1 (en) | Providing user guidance on erasure process selection based on accumulated erasure reports | |
| KR20170100309A (en) | Electronic apparatus for providing a voice recognition control and method thereof | |
| US10203969B2 (en) | Method for providing additional information about application and electronic device for supporting the same | |
| Khan et al. | Daily life activities on smartphones and their effect on battery life for better personal information management: smartphones and their effect on battery life for better personal information management | |
| US20170046279A1 (en) | Content security processing method and electronic device supporting the same | |
| CN107169005B (en) | POI recommendation method, device, equipment and computer readable storage medium | |
| CN116225493A (en) | Intelligent hardware upgrade firmware configuration generation method | |
| CN107154971A (en) | One kind application method for down loading and device | |
| KR20150020398A (en) | Apparatas and method for unified search of application in an electronic device | |
| Merzougui | Adaptation of an intelligent mobile assistant medical (IMAM) of the heterogeneous data for the telemedicine services: Design and implementation | |
| KR20180013304A (en) | Method for managing notifications of applications and an electronic device thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |