US 10,484,248 B2Granted

Data decision method, apparatus and system

AssigneeHuawei Technologies Co., Ltd.

InventorXijun Xue

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Abstract

A data decision method, apparatus and system relate to the field of communications technologies, where they accurately and effectively analyze information included in fragmented data. The method includes obtaining, by a data decision apparatus, analysis conditions for data analysis, reporting, by the data decision apparatus, the analysis conditions to a cloud server such that the cloud server determines, according to the analysis conditions, a first data type that the data decision apparatus can process, obtaining, by the data decision apparatus, first data satisfying the first data type, where the first data is perception data generated by a human body device, performing, by the data decision apparatus, data analysis and data decision on the first data, and generating first decision data, where the first decision data is decision information of a data characteristic reflected for the first data.

Claims22

Dependent claims

A data decision method, comprising:

obtaining, by a data decision apparatus, analysis conditions for data analysis, wherein the analysis conditions refer to storage space information and computing rate information of the data decision apparatus and information about a communication rate between the data decision apparatus and a cloud server, and wherein the cloud server is connected to the data decision apparatus;
reporting, by the data decision apparatus, the analysis conditions to the cloud server;
receiving, from the cloud server, a message indicating that the data decision apparatus has a capability to process a first data type;
obtaining, by the data decision apparatus from a human body device coupled to the data decision apparatus, first data satisfying the first data type, wherein the first data is perception data and includes data regarding at least one human body characteristic of a user of the data decision apparatus;
performing, by the data decision apparatus, data analysis on the first data to generate at least one analysis result regarding the at least one human body characteristic;
performing, by the data decision apparatus, data decision on the at least one analysis result to determine an action regarding the user's health;
and
generating, by the data decision apparatus, first decision data based on the data decision, wherein the first decision data advises the user to take the action regarding the user's health.

5 more elements

A data decision method, comprising:

receiving, by a cloud server, analysis conditions for data analysis from a data decision apparatus, wherein the analysis conditions refer to storage space information and computing rate information of the data decision apparatus and information about a communication rate between the data decision apparatus and the cloud server, and wherein the cloud server is connected to the data decision apparatus;
determining, by the cloud server according to the analysis conditions, a first data type that the data decision apparatus can process;
sending, by the cloud server to the data decision apparatus, an indication of the first data type;
receiving, by the cloud server from the data decision apparatus, second data and first decision data, wherein the second data refers to data regarding at least one human body characteristic of a user of the data decision apparatus that does not satisfy the first data type, and wherein the first decision data advises the user of the data decision apparatus to take a first action regarding the user's health;
performing, by the cloud server, data analysis according to the second data in order to obtain an analysis result for the second data;
modifying, by the cloud server, the first decision data according to the analysis result for the second data to determine a second action regarding the user's health;
and
obtaining, by the cloud server, second decision data after the modification, wherein the second decision data advises the user to take the second action regarding the user's health.

5 more elements

A data decision apparatus, comprising:

a memory comprising instructions;
and
a processor coupled to the memory, wherein the instructions cause the processor to be configured to:
obtain analysis conditions for data analysis, wherein the analysis conditions refer to storage space information and computing rate information of the data decision apparatus and information about a communication rate between the data decision apparatus and a cloud server, and wherein the cloud server is connected to the data decision apparatus;
obtain, from a human body device coupled to the data decision apparatus, first data satisfying a first data type, wherein the first data is perception data and includes data regarding at least one human body characteristic of a user of the data decision apparatus;
report the analysis conditions to the cloud server;
receive, from the cloud server, a message indicating that the data decision apparatus has a capability to process the first data type;
perform data analysis on the first data to generate at least one analysis result regarding the at least one human body characteristic;
perform data decision on the at least one analysis result to determine an action regarding the user's health;
and
generate first decision data based on the data decision, wherein the first decision data advises the user to take the action regarding the user's health.

8 more elements

A cloud server, comprising:

a memory comprising instructions;
and
a processor coupled to the memory, wherein the instructions cause the processor to be configured to:
receive analysis conditions for data analysis from a data decision apparatus, wherein the analysis conditions refer to storage space information and computing rate information of the data decision apparatus and information about a communication rate between the data decision apparatus and the cloud server, and wherein the cloud server is connected to the data decision apparatus;
determine, according to the analysis conditions, a first data type that the data decision apparatus can process;
send, to the data decision apparatus, an indication of the first data type;
receive, from the data decision apparatus, second data and first decision data, wherein the second data refers to data regarding at least one human body characteristic of a user of the data decision apparatus that does not satisfy the first data type, and wherein the first decision data advises the user of the data decision apparatus to take a first action regarding the user's health;
perform data analysis according to the second data in order to obtain an analysis result for the second data;
modify the first decision data according to the analysis result for the second data to determine a second action regarding the user's health;
and
obtain second decision data after the modification, wherein the second decision data advises the user to take the second action regarding the user's health.

8 more elements

A data decision system, comprising:

a data decision apparatus;
and
a cloud server connected to the data decision apparatus,
wherein the data decision apparatus comprises:
a first memory comprising first instructions;
and
a first processor coupled to the first memory, wherein the fit instructions cause the first processor to be configured to:
obtain analysis conditions for data analysis, wherein the analysis conditions refer to storage space information and computing rate information of the data decision apparatus and information about a communication rate between the data decision apparatus and the cloud server;
obtain, from a human body device coupled to the data decision apparatus, first data satisfying a first data type, wherein the first data is perception data and includes data regarding at least one human body characteristic of a user of the data decision apparatus;
report the analysis conditions to the cloud server;
receive, from the cloud server, a message indicating that the data decision apparatus has a capability to process the first data type;
perform data analysis on the first data to generate at least one analysis result regarding the at least one human body characteristic;
perform data decision on the at least one analysis result to determine an action regarding the user's health;
and
generate first decision data based on the data decision, wherein the first decision data advises the user to take the action regarding the user's health, and
wherein the cloud server, comprises:
a second memory comprising second instructions;
and
a second processor coupled to the second memory, wherein the second instructions cause the second processor to be configured to:
receive the analysis conditions for the data analysis sent by the data decision apparatus;
and
determine, according to the analysis conditions, the first data type that the data decision apparatus can process;
send, by the cloud server to the data decision apparatus, an indication of the first data type;
receive, by the cloud server from the data decision apparatus, second data and first decision data, wherein the second data refers to data regarding at least one human body characteristic of a user of the data decision apparatus that does not satisfy the first data type, wherein the first decision data advises the user of the data decision apparatus to take a first action regarding the user's health;
perform, by the cloud server, data analysis according to the second data in order to obtain an analysis result for the second data;
modify, by the cloud server, the first decision data according to the analysis result for the second data to determine a second action regarding the user's health;
and
obtain, by the cloud server, second decision data after the modification, wherein the second decision data advises the user to take the second action regarding the user's health.

25 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/596,862Filed 16 May 2017 · continuation
Priority: CN 2015 1 013037424 Mar 2015
Published: US 2017/0250872 A131 Aug 2017
Granted: 19 Nov 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification12 codes

G16H 40/67
For the operation of medical equipment or devices: for remote operation
G06F 16/951
Retrieval from the web: indexing; Web crawling techniques
G06Q 10/00
Administration
G16H 50/20
ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or…: for…

Family

PCT/CN2015/092951Parent of this continuation · filed 27 Oct 2015
US 2017/0250872 A1Pre-grant publication · published 31 Aug 2017
US 10,484,248 B2This patent

From the US filing history. Foreign family members aren’t listed.

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