CN110686699A - Step counting method and device - Google Patents
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- CN110686699A CN110686699A CN201910765081.7A CN201910765081A CN110686699A CN 110686699 A CN110686699 A CN 110686699A CN 201910765081 A CN201910765081 A CN 201910765081A CN 110686699 A CN110686699 A CN 110686699A
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- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
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Abstract
The invention discloses a step counting method and device, relates to the technical field of mobile terminals, and can effectively combine step counting results of a plurality of devices to bring better step counting experience to users. The method comprises the following steps: periodically acquiring step counting data from a plurality of devices; selecting step counting data of any equipment as effective step counting data of the current time period; and summarizing the effective step counting data of each time period to obtain the total step number corresponding to the time period. The device is applied with the method provided by the scheme.
Description
Technical Field
The invention relates to the technical field of mobile terminals, in particular to a step counting method and device.
Background
The equipment that has the meter step function has a plurality ofly, for example smart mobile phone, intelligent bracelet, intelligent wrist-watch, walking machine etc. discovers in the in-service use, if the user carries foretell multiple equipment to walk simultaneously, every equipment all can be based on respective built-in algorithm meter step, because the meter step rule of every equipment algorithm is different, will lead to the meter step result inconsistent of each equipment, the common scene of multiple equipment meter step includes:
in the first scenario, a user simultaneously carries the smart phone and the smart band to walk, and the final step counting results of the smart phone and the smart band are inconsistent;
in the second scenario, a user only carries the smart phone to walk at the previous moment and only carries the smart bracelet to walk at the current moment, and the step counting data of the two devices cannot be shared and combined, so that the user can only select the step counting data of one device as the step counting result of the current day, and the step counting data of the other device is discarded;
therefore, the prior art cannot combine and count the step counting results of various devices, and troubles of step counting statistics are brought to users.
Disclosure of Invention
The invention aims to provide a step counting method and a step counting device, which can effectively combine step counting results of a plurality of devices and bring better step counting experience to users.
In order to achieve the above object, an aspect of the present invention provides a step counting method, including:
periodically acquiring step counting data from a plurality of devices;
selecting step counting data of any equipment as effective step counting data of the current time period;
and summarizing the effective step counting data of each time period to obtain the total step number corresponding to the time period.
Preferably, before the step-counting data is periodically acquired in the plurality of devices, the method further comprises:
setting the acquisition time period of the step counting data, and uploading the step counting data at the end moment of each time period, or uploading the step counting data generated in the time period uniformly at intervals of preset time period;
wherein the time period comprises at least one preset duration, the preset duration comprising at least one time period.
Preferably, the method for periodically acquiring step-counting data from a plurality of devices comprises:
binding and networking a plurality of devices with a server respectively;
each device automatically uploads step counting data counted in the current time period to a server at the end moment of the current time period, or uploads step counting data generated in the time period at intervals of preset time period in a unified manner;
the equipment comprises a smart phone, a smart watch, a smart bracelet and a treadmill;
the step counting data comprises a user ID, a device ID, a starting timestamp, the number of statistical steps in the current time period, a device model and a device type.
Further, the method for selecting the step counting data of any one device as the effective step counting data of the current time period comprises the following steps:
selecting step counting data collected by equipment corresponding to the highest priority from online equipment as effective step counting data of the current time period based on step counting priorities set by a user; alternatively, the first and second electrodes may be,
comparing the step counting data collected by each device, and selecting the maximum step counting data from the step counting data as effective step counting data of the current time period; alternatively, the first and second electrodes may be,
collecting step counting data counted by various equipment types and/or equipment models, obtaining step counting precision sequencing of each equipment type and/or equipment model after big data analysis, and selecting the step counting data collected by the equipment with the highest precision from the online equipment as effective step counting data of the current time period based on the step counting precision sequencing.
Preferably, after summarizing the valid step counting data of each time period and obtaining the total number of steps corresponding to the time period, the method includes:
and in the total steps corresponding to the time period, displaying the devices corresponding to the effective step counting data of each time period in a distinguishing way.
Preferably, after summarizing the valid step counting data of each time period and obtaining the total number of steps corresponding to the time period, the method includes:
and extracting effective step counting data of corresponding time periods and accumulating the effective step counting data to obtain the total step number corresponding to the user-defined time periods according to the user-defined time period query instruction.
Compared with the prior art, the step counting method provided by the invention has the following beneficial effects:
according to the step counting method provided by the invention, step counting data are periodically obtained from a plurality of devices, then one step counting data is screened from the plurality of step counting data to be used as effective step counting data of the current time period, so that each time period corresponds to one effective step counting data, and finally the effective step counting data of each time period in the time period are accumulated to obtain the total step number corresponding to the time period.
Therefore, the invention can effectively combine and screen the step counting data acquired from a plurality of devices periodically, avoids the occurrence of the event that the step counting result is disordered, such as repeated step counting, and the like when a user carries a plurality of devices simultaneously, and ensures the accuracy of the step counting result in a time period.
Another aspect of the present invention provides a step counting device, which is applied to the step counting method mentioned in the above technical solution, and the device includes:
the data acquisition unit is used for periodically acquiring step counting data from a plurality of devices;
the data processing unit is used for selecting the step counting data of any equipment as effective step counting data of the current time period;
and the statistical output unit is used for summarizing the effective step counting data of each time period to obtain the total step number corresponding to the time period.
Preferably, the data acquisition unit includes:
the binding networking module is used for binding and networking the plurality of devices and the server respectively;
the data uploading module is used for each device to automatically upload the step counting data counted in the current time period to the server at the end moment of the current time period or upload the step counting data generated in the time period at intervals of preset time period;
the equipment comprises a smart phone, a smart watch, a smart bracelet and a treadmill;
the step counting data comprises a user ID, a device ID, a starting timestamp, the number of statistical steps in the current time period, a device model and a device type.
Preferably, the data processing unit is specifically configured to:
selecting step counting data collected by equipment corresponding to the highest priority from online equipment as effective step counting data of the current time period based on step counting priorities set by a user; alternatively, the first and second electrodes may be,
comparing the step counting data collected by each device, and selecting the maximum step counting data from the step counting data as effective step counting data of the current time period; alternatively, the first and second electrodes may be,
collecting step counting data counted by various equipment types and/or equipment models, obtaining step counting precision sequencing of each equipment type and/or equipment model after big data analysis, and selecting the step counting data collected by the equipment with the highest precision from the online equipment as effective step counting data of the current time period based on the step counting precision sequencing.
Compared with the prior art, the beneficial effects of the step counting device provided by the invention are the same as those of the step counting method provided by the technical scheme, and the detailed description is omitted here.
A third aspect of the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described step counting method.
Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the invention are the same as the beneficial effects of the step counting method provided by the technical scheme, and the detailed description is omitted here.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of a stepping method according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the present embodiment provides a step counting method, including:
periodically acquiring step counting data from a plurality of devices; selecting step counting data of any equipment as effective step counting data of the current time period; and summarizing the effective step counting data of each time period to obtain the total step number corresponding to the time period.
In the step counting method provided in this embodiment, step counting data is periodically acquired from a plurality of devices, and then one step counting data is screened from the plurality of step counting data to be used as effective step counting data of a current time period, so that each time period corresponds to one effective step counting data, and finally, the effective step counting data of each time period in a time period is accumulated to obtain a total step count corresponding to the time period.
Therefore, the step counting data acquired from the multiple devices can be periodically and effectively combined and screened, the occurrence of the event that the user carries the step counting result confusion such as the repeated step counting and the like of the multiple devices at the same time is avoided, and the accuracy of the step counting result in the time period is ensured.
Preferably, in the above embodiment, before the step-counting data is periodically acquired in the plurality of devices, the step-counting method further includes:
setting the acquisition time period of the step counting data, and uploading the step counting data at the end moment of each time period, or uploading the step counting data generated in the time period uniformly at intervals of preset time period; wherein the time period comprises at least one preset duration, the preset duration comprising at least one time period.
In specific implementation, the time period may be set to 24 hours, each hour may include 12 time periods or 30 time periods, the preset time period is 1 hour, each corresponding time period is 5 minutes or 2 minutes, when each hour includes 12 time periods, each device needs to upload step data every five minutes, such as every 6: 00 minutes, every 6: 05 minutes, every … …, and every 6: 55 minutes, and when each hour includes 30 time periods, each device needs to upload step data every two minutes, such as every 6: 00 minutes, every 6: 02 minutes, every … …, and every 6: 58 minutes, or after each hour is finished, upload step data generated in the current hour in a unified manner, such as upload step data generated in a time period from 6: 00 minutes to 7: 00 minutes in a unified manner at 7: 00 minutes; it should be noted that the shorter the uploading interval is, the faster the data updating speed is, the higher the frequency of uploading data by the corresponding device is, and the power consumption of the device is increased, whereas the longer the uploading interval is, the slower the data updating speed is, the lower the frequency of uploading data by the corresponding device is, and the longer the duration of the device is, so that the time period, the preset duration and the time interval can be selected by the operator or selected by the user through the device.
Specifically, the method for periodically acquiring step counting data from a plurality of devices in the above embodiment includes:
binding and networking a plurality of devices with a server respectively; each device automatically uploads step counting data counted in the current time period to a server at the end moment of the current time period, or uploads step counting data generated in the time period at intervals of preset time period in a unified manner; the equipment comprises a smart phone, a smart watch, a smart bracelet and a treadmill; the step counting data includes a user ID, a device ID, a start time stamp, a current period count step number, a device model, and a device type. Wherein, the meter step data will be packed into JSON form and upload, and the initial time stamp is for marking the period, and the equipment type is smart mobile phone, intelligent wrist-watch, intelligent bracelet or treadmill etc. promptly.
During specific implementation, the equipment comprises a smart phone, a smart watch, a smart bracelet, a treadmill and the like, the same step counting software is installed on the equipment, wherein a primary account number of the step counting software is logged in the smart phone, other equipment logs in a sub-account number of the step counting software, the primary account number is associated with the sub-account numbers, step counting data generated by any equipment can be uploaded to a server at the end moment of each time interval, and the step counting data of a user are not omitted.
It can be understood that, because the counters in the devices only have a simple logical operation function, the display result of the step counting data of each device in the current time period in the time period is generally the sum of the display result of the step counting data in the previous time period and the step counting data actually generated in the current time period, for example, the current time period is the 3 rd time period, the corresponding step counting data display result is 5000 steps, the display result of the step counting data in the previous time period, that is, the step counting data corresponding to the 2 nd time period is 3000 steps, the step counting data actually generated in the current time period is 2000 steps, and only the step counting data of the 2000 steps is uploaded when the server is uploaded.
The method for selecting the step counting data of any equipment as the effective step counting data of the current time period in the embodiment comprises the following steps:
selecting step counting data collected by equipment corresponding to the highest priority from online equipment as effective step counting data of the current time period based on step counting priorities set by a user; alternatively, the first and second electrodes may be,
comparing the step counting data collected by each device, and selecting the maximum step counting data from the step counting data as effective step counting data of the current time period; alternatively, the first and second electrodes may be,
collecting step counting data counted by various equipment types and/or equipment models, obtaining step counting precision sequencing of each equipment type and/or equipment model after big data analysis, and selecting the step counting data collected by the equipment with the highest precision from the online equipment as effective step counting data of the current time period based on the step counting precision sequencing.
In specific implementation, the present embodiment provides the three step-counting logics, and a user or an operator may select any one of the step-counting logics to implement and use, which is specifically as follows:
the first method is that a user sets step counting priority through a smart phone, then step counting data collected by highest priority equipment is selected from online equipment according to the set priority sequence to serve as effective step counting data of the current time period, for example, the online equipment comprises a smart band, the smart phone and a smart watch, the set priority sequence is that the smart band is higher than the smart phone and the smart watch, and at the moment, if the user wears the smart band, the smart phone and the smart watch to walk at the same time, the server only takes the step counting data collected by the smart band as the effective step counting data.
The second method is to compare the size of the step counting data collected by the online device in the current time period, and select the largest step counting data from the step counting data as the effective step counting data in the current time period, for example, the online device includes an intelligent bracelet, an intelligent mobile phone and an intelligent watch, if the step counting data generated by the intelligent bracelet in the current time period is the largest, the server takes the step counting data collected by the intelligent bracelet as the effective step counting data.
The third type is that a plurality of step counting data samples are collected from the background of the server, after big data analysis, the step counting precision of the device types and the corresponding device models in the server is identified, and precision sequencing is recorded, if a user wears the smart bracelet, the smart phone and the smart watch to walk at the same time, the step counting precision of the smart bracelet in the precision sequencing is higher than that of the smart phone, the step counting precision of the smart phone is higher than that of the smart watch, and at the moment, the server selects the step counting data collected by the smart bracelet to serve as effective step counting data to be uploaded.
In the actual use process, any one of the above logic step counting can be selected, which is not limited in this embodiment, and in addition, if the user wears a plurality of devices of the same type, such as two bracelets, the maximum step counting data is defaulted as the effective step counting data in the current time period.
Preferably, in the above embodiment, after summarizing the valid step counting data of each time period and obtaining the total number of steps corresponding to the time period, the method includes:
and in the total steps corresponding to the time period, the equipment corresponding to the effective step counting data of each time period is displayed in a distinguishing way. For example, the APP of the smart phone can request the total step number collected in the current time period from the server interface, the total step number is displayed on the APP interface through a circular ring, and the collection equipment corresponding to the effective step counting data in each time period is distinguished through different colors, so that the user can know the collection equipment clearly after checking.
Further, in the above embodiment, after summarizing the valid step counting data of each time period and obtaining the total number of steps corresponding to the time period, the method includes:
and extracting effective step counting data of corresponding time periods according to a user self-defined time period query instruction, and accumulating to obtain the total step number corresponding to the self-defined time period. The step improves the flexibility of data query, and the summary of effective step-counting data in different time periods can be easily queried.
Example two
The present embodiment provides a step counting device, including:
the data acquisition unit is used for periodically acquiring step counting data from a plurality of devices;
the data processing unit is used for selecting the step counting data of any equipment as effective step counting data of the current time period;
and the statistical output unit is used for summarizing the effective step counting data of each time period to obtain the total step number corresponding to the time period.
Preferably, before the data acquisition unit, there are further provided:
the cycle setting unit is used for setting the acquisition time interval of the step counting data and uploading the step counting data at the end moment of each time interval;
wherein the time period comprises at least one period.
Preferably, the data acquisition unit comprises:
the binding networking module is used for binding and networking the plurality of devices and the server respectively;
the data uploading module is used for each device to automatically upload the step counting data counted in the current time period to the server at the end moment of the current time period or upload the step counting data generated in the time period at intervals of preset time period;
the equipment comprises a smart phone, a smart watch, a smart bracelet and a treadmill;
the step counting data includes a user ID, a device ID, a start time stamp, a current period count step number, a device model, and a device type.
The data processing unit is specifically configured to:
selecting step counting data collected by equipment corresponding to the highest priority from online equipment as effective step counting data of the current time period based on step counting priorities set by a user; alternatively, the first and second electrodes may be,
comparing the step counting data collected by each device, and selecting the maximum step counting data from the step counting data as effective step counting data of the current time period; alternatively, the first and second electrodes may be,
collecting step counting data counted by various equipment types and/or equipment models, obtaining step counting precision sequencing of each equipment type and/or equipment model after big data analysis, and selecting the step counting data collected by the equipment with the highest precision from the online equipment as effective step counting data of the current time period based on the step counting precision sequencing.
Preferably, after the statistical output unit, there are further provided:
and the display unit is used for displaying the equipment corresponding to the effective step counting data of each time interval in the total step number corresponding to the time cycle in a distinguishing way.
Further, still include:
and the query unit is used for extracting effective step counting data of the corresponding time interval according to a user-defined time interval query instruction and accumulating the effective step counting data to obtain the total step number corresponding to the user-defined time interval.
Compared with the prior art, the beneficial effects of the step counting device provided by the embodiment are the same as those of the step counting method provided by the embodiment, and are not repeated herein.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, performing the steps of the step counting method described above.
Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiment are the same as the beneficial effects of the step counting method provided by the above technical scheme, and are not described herein again.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the invention may be implemented by hardware that is instructed to be associated with a program, the program may be stored in a computer-readable storage medium, and when the program is executed, the program includes the steps of the method of the embodiment, and the storage medium may be: ROM/RAM, magnetic disks, optical disks, memory cards, and the like.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A step counting method, comprising:
periodically acquiring step counting data from a plurality of devices;
selecting step counting data of any equipment as effective step counting data of the current time period;
and summarizing the effective step counting data of each time period to obtain the total step number corresponding to the time period.
2. The method of claim 1, wherein periodically obtaining step count data in the plurality of devices further comprises:
setting the acquisition time period of the step counting data, and uploading the step counting data at the end moment of each time period, or uploading the step counting data generated in the time period uniformly at intervals of preset time period;
wherein the time period comprises at least one preset duration, the preset duration comprising at least one time period.
3. The method of claim 1 or 2, wherein the step-counting data is periodically obtained from a plurality of devices by:
binding and networking a plurality of devices with a server respectively;
each device automatically uploads step counting data counted in the current time period to a server at the end moment of the current time period, or uploads step counting data generated in the time period at intervals of preset time period in a unified manner;
the equipment comprises a smart phone, a smart watch, a smart bracelet and a treadmill;
the step counting data comprises a user ID, a device ID, a starting timestamp, the number of statistical steps in the current time period, a device model and a device type.
4. The method of claim 3, wherein selecting the step count data for any device as valid step count data for the current time period comprises:
selecting step counting data collected by equipment corresponding to the highest priority from online equipment as effective step counting data of the current time period based on step counting priorities set by a user; alternatively, the first and second electrodes may be,
comparing the step counting data collected by each device, and selecting the maximum step counting data from the step counting data as effective step counting data of the current time period; alternatively, the first and second electrodes may be,
collecting step counting data counted by various equipment types and/or equipment models, obtaining step counting precision sequencing of each equipment type and/or equipment model after big data analysis, and selecting the step counting data collected by the equipment with the highest precision from the online equipment as effective step counting data of the current time period based on the step counting precision sequencing.
5. The method of claim 1, wherein after summarizing the valid step counting data for each time period to obtain a total step count corresponding to the time period, the method comprises:
and in the total steps corresponding to the time period, displaying the devices corresponding to the effective step counting data of each time period in a distinguishing way.
6. The method according to claim 1 or 5, wherein after summarizing the valid step counting data of each time period to obtain the total step count corresponding to the time period, the method comprises:
and extracting effective step counting data of corresponding time periods and accumulating the effective step counting data to obtain the total step number corresponding to the user-defined time periods according to the user-defined time period query instruction.
7. A step counter, comprising:
the data acquisition unit is used for periodically acquiring step counting data from a plurality of devices;
the data processing unit is used for selecting the step counting data of any equipment as effective step counting data of the current time period;
and the statistical output unit is used for summarizing the effective step counting data of each time period to obtain the total step number corresponding to the time period.
8. The apparatus of claim 7, wherein the data acquisition unit comprises:
the binding networking module is used for binding and networking the plurality of devices and the server respectively;
the data uploading module is used for each device to automatically upload the step counting data counted in the current time period to the server at the end moment of the current time period or upload the step counting data generated in the time period at intervals of preset time period;
the equipment comprises a smart phone, a smart watch, a smart bracelet and a treadmill;
the step counting data comprises a user ID, a device ID, a starting timestamp, the number of statistical steps in the current time period, a device model and a device type.
9. The apparatus according to claim 7, wherein the data processing unit is specifically configured to:
selecting step counting data collected by equipment corresponding to the highest priority from online equipment as effective step counting data of the current time period based on step counting priorities set by a user; alternatively, the first and second electrodes may be,
comparing the step counting data collected by each device, and selecting the maximum step counting data from the step counting data as effective step counting data of the current time period; alternatively, the first and second electrodes may be,
collecting step counting data counted by various equipment types and/or equipment models, obtaining step counting precision sequencing of each equipment type and/or equipment model after big data analysis, and selecting the step counting data collected by the equipment with the highest precision from the online equipment as effective step counting data of the current time period based on the step counting precision sequencing.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of the claims 1 to 6.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112965886A (en) * | 2021-02-25 | 2021-06-15 | 苏宁智能终端有限公司 | Step counting method and device, terminal equipment and computer readable storage medium |
CN114304097A (en) * | 2021-12-31 | 2022-04-12 | 广西真典科技有限公司 | Intelligent insect condition forecasting device and insect pest monitoring method thereof |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080171636A1 (en) * | 2007-01-11 | 2008-07-17 | Yamaha Corporation | Apparatus for displaying fitness exercise condition |
CN104537132A (en) * | 2015-01-30 | 2015-04-22 | 小米科技有限责任公司 | Motion data recording method and device |
CN106156480A (en) * | 2015-07-01 | 2016-11-23 | 安徽华米信息科技有限公司 | A kind of data statistical approach and device |
CN106705989A (en) * | 2015-07-21 | 2017-05-24 | 华为终端(东莞)有限公司 | Step counting method, equipment and terminal |
CN107004055A (en) * | 2014-12-04 | 2017-08-01 | 皇家飞利浦有限公司 | System and method for providing the annexation between wearable device |
CN108362304A (en) * | 2018-02-09 | 2018-08-03 | 维沃移动通信有限公司 | A kind of data processing method and mobile terminal |
CN108701495A (en) * | 2016-02-19 | 2018-10-23 | 三星电子株式会社 | Method for integrating and providing the data collected from multiple equipment and the electronic equipment for realizing this method |
-
2019
- 2019-08-19 CN CN201910765081.7A patent/CN110686699A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080171636A1 (en) * | 2007-01-11 | 2008-07-17 | Yamaha Corporation | Apparatus for displaying fitness exercise condition |
CN107004055A (en) * | 2014-12-04 | 2017-08-01 | 皇家飞利浦有限公司 | System and method for providing the annexation between wearable device |
CN104537132A (en) * | 2015-01-30 | 2015-04-22 | 小米科技有限责任公司 | Motion data recording method and device |
CN106156480A (en) * | 2015-07-01 | 2016-11-23 | 安徽华米信息科技有限公司 | A kind of data statistical approach and device |
CN106705989A (en) * | 2015-07-21 | 2017-05-24 | 华为终端(东莞)有限公司 | Step counting method, equipment and terminal |
CN108701495A (en) * | 2016-02-19 | 2018-10-23 | 三星电子株式会社 | Method for integrating and providing the data collected from multiple equipment and the electronic equipment for realizing this method |
CN108362304A (en) * | 2018-02-09 | 2018-08-03 | 维沃移动通信有限公司 | A kind of data processing method and mobile terminal |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112965886A (en) * | 2021-02-25 | 2021-06-15 | 苏宁智能终端有限公司 | Step counting method and device, terminal equipment and computer readable storage medium |
CN114304097A (en) * | 2021-12-31 | 2022-04-12 | 广西真典科技有限公司 | Intelligent insect condition forecasting device and insect pest monitoring method thereof |
CN114304097B (en) * | 2021-12-31 | 2023-08-18 | 广西真典科技有限公司 | Intelligent insect condition observation and report equipment and insect pest monitoring method thereof |
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