# US 10,484,248 B2 · Data decision method, apparatus and system

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- Number: US 10,484,248 B2
- Document ID: US10484248B2
- Status: Granted
- Kind: B2
- Application number: 15/596,862
- Filed: 2017-05-16
- Published: 2017-08-31
- Granted: 2019-11-19
- Earliest claimed: 2015-03-24
- Assignees: Huawei Technologies Co., Ltd.
- Applicants: Huawei Technologies Co., Ltd.
- Inventors: Xijun Xue
- Web page: https://patentgrep.com/patent/US10484248B2

## CPC

- G16H 40/67: for remote operation
- G06F 16/951: Indexing; Web crawling techniques
- G06Q 10/00: Administration; Management
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- H04L 67/10: in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46)
- H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04W 88/16: Gateway arrangements
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## 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.

## Claims

### Claim 1

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.

### Claim 2 (depends on 1)

The method of claim 1, wherein after reporting the analysis conditions to the cloud server, the method further comprises:
determining, by the data decision apparatus, a second data type according to the analysis conditions;
sending, by the data decision apparatus, the second data type to the cloud server; and
obtaining, by the data decision apparatus, data satisfying the first data type or the second data type when the data decision apparatus receives a message indicating that the data decision apparatus comprises the capability to process data of the second data type.

### Claim 3 (depends on 2)

The method of claim 2, wherein before sending the second data type to the cloud server, the method further comprises:
determining, by the data decision apparatus, whether the first data type is consistent with the second data type; and
sending, by the data decision apparatus, the second data type to the cloud server when the first data type is inconsistent with the second data type.

### Claim 4 (depends on 1)

The method of claim 1, further comprising sending, by the data decision apparatus to the cloud server, second data that does not satisfy the first data type when the second data is received.

### Claim 5 (depends on 4)

The method of claim 4, wherein after generating the first decision data, the method further comprises sending, by the data decision apparatus, the first decision data to the cloud server.

### Claim 6 (depends on 4)

The method according to claim 4, wherein after generating the first decision data, the method further comprises sending, by the data decision apparatus, the first data and the first decision data to the cloud server.

### Claim 7

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.

### Claim 8 (depends on 7)

The method according to claim 7, wherein after receiving the analysis conditions for the data analysis, the method further comprises:
receiving, by the cloud server, a second data type from the data decision apparatus; and
sending, to the data decision apparatus, a message indicating that the data decision apparatus has a capability to process data of the second data type when the cloud server determines according to the analysis conditions that the data decision apparatus comprises the capability to process the second data type.

### Claim 9 (depends on 1)

The method according to claim 1, wherein the first data is perception data received by the data decision apparatus from multiple human body devices connected to the data decision apparatus, wherein the at least one human body characteristic of the user comprises multiple human body characteristics respectively corresponding to the multiple human body devices, wherein the at least one analysis result comprises multiple analysis results respectively corresponding to the multiple human body characteristics, and wherein the data decision is further performed using the multiple analysis results and based on an association relationship between the multiple human body characteristics.

### Claim 10 (depends on 7)

The method according to claim 7, wherein the cloud server further receives first data satisfying the first data type from the data decision apparatus, and wherein modifying the first decision data comprises modifying, by the cloud server, the first decision data according to the first data and the analysis result for the second data, and wherein obtaining the second decision data comprises obtaining, by the cloud server, the second decision data after modifying the first decision data.

### Claim 11 (depends on 7)

The method according to claim 7, further comprising:
obtaining, by the cloud server, perception data from a first gateway, wherein the first gateway refers to any gateway except the data decision apparatus; and
modifying, by the cloud server, the first decision data according to the perception data obtained from the first gateway.

### Claim 12

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.

### Claim 13 (depends on 12)

The data decision apparatus according to claim 12, wherein the instructions further cause the processor to be configured to:
determine a second data type according to the analysis conditions;
send the second data type to the cloud server to determine whether the data decision apparatus comprises a capability to process data of the second data type; and
obtain data satisfying the first data type or the second data type when the data decision apparatus receives a message from the cloud server that indicates that the data decision apparatus has the capability to process data of the second data type.

### Claim 14 (depends on 13)

The data decision apparatus according to claim 13, wherein the instructions further cause the processor to be configured to:
determine whether the first data type is consistent with the second data type; and
send the second data type to the cloud server when the first data type is inconsistent with the second data type to cause the cloud server to determine, according to the analysis conditions, whether the data decision apparatus comprises the capability to process the second data type.

### Claim 15 (depends on 12)

The data decision apparatus according to claim 12, wherein the instructions further cause the processor to be configured to send second data that does not satisfy the first data type to the cloud server when the second data that does not satisfy the first data type is received.

### Claim 16 (depends on 15)

The data decision apparatus according to claim 15, wherein the instructions further cause the processor to be configured to send the first decision data to the cloud server.

### Claim 17 (depends on 15)

The data decision apparatus according to claim 15, wherein the instructions further cause the processor to be configured to send the first data and the first decision data to the cloud server.

### Claim 18

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.

### Claim 19 (depends on 18)

The cloud server according to claim 18, wherein the instructions further cause the processor to be configured to:
receive a second data type from the data decision apparatus; and
send, to the data decision apparatus, a message indicating that the data decision apparatus has a capability to process data of the second data type when the cloud server determines according to the analysis conditions that the data decision apparatus comprises the capability to process the second data type.

### Claim 20 (depends on 18)

The cloud server according to claim 18, wherein the instructions further cause the processor to be configured to receive, from the data decision apparatus, first data satisfying the first data type, wherein the instructions that cause the processor to be configured to modify the first decision data further cause the processor to modify the first decision data according to the first data and the analysis result for the second data.

### Claim 21 (depends on 18)

The cloud server according to claim 18, wherein the instructions further cause the processor to be configured to:
obtain perception data from a first gateway, wherein the first gateway refers to any gateway except the data decision apparatus; and
further modify the first decision data according to the perception data from the first gateway.

### Claim 22

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.