TERMINAL DEVICE, SYSTEM, AND METHOD FOR PROCESSING SENSOR DATA STREAM

• US 20150161021A1
• Filed: 12/09/2014
• Published: 06/11/2015
• Est. Priority Date: 12/09/2013
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Yeo, Hae-dong
• Granted Patent: US 10,613,956 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 11/30 Monitoring
• CPC Class Codes: H04L 43/0817 by checking functioning
• CPC Class Codes: H04L 43/10 Active monitoring, e.g. heartbeat, ping or trace-route
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: 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
• CPC Class Codes: H04W 4/00 Services specially adapted for wireless communication networks; Facilities therefor
• CPC Class Codes: H04W 4/38 for collecting sensor information

Abstract

A terminal device, a system, and a method for efficiently processing sensor data streams. The system for processing sensor data streams includes: at least one data collection unit for receiving the sensor data streams from at least one terminal device; and an allocation unit for monitoring a status of the at least one data collection unit, selecting one of the at least one data collection unit by using a monitoring result, and allocating the at least one terminal device to the selected data collection unit, wherein the at least one data collection unit receives the sensor data streams from the at least one terminal device allocated by the allocation unit.

Claims

1. A system for processing sensor data, the system comprising:

a plurality of data collection units each configured for receiving the sensor data from at least one terminal device; and

an allocation unit, controlled by a processor, for monitoring a status of each of the data collection units, selecting a data collection unit of the plurality of data collection units based on a monitoring result, and allocating the at least one terminal device to the selected data collection unit.

2. The system of claim 1, wherein the allocation unit receives status information of the at least one terminal device or a user of the at least one terminal device and an allocation request from the at least one terminal device, and selects the data collection unit by using the status information and the monitoring result in response to the allocation request.

3. The system of claim 2, wherein the status information comprises an activity history of the user, status time information, location information of the at least one terminal device, or information corresponding to the sensor data.

4. The system of claim 2, wherein the allocation unit monitors information regarding an availability of each of the data collection units and a load level thereof, and selects the data collection unit by using the information regarding the availability of each of the data collection units and the load level thereof.

5. The system of claim 1, wherein the allocation unit receives status information of the at least one terminal device and a user of the at least one terminal device and an allocation request from the at least one terminal device, predicts an amount of data included in the sensor data from the at least one terminal device by using the received status information and a prediction reference, and selects the data collection unit by using the predicted amount of data and the monitoring result in response to the allocation request.

6. The system of claim 5, wherein the prediction reference comprises information regarding a relationship between the status information and the amount of data.

7. The system of claim 5, further comprising:

a pattern analyzing unit for analyzing the relationship between the status information and the amount of data and renewing the prediction reference by using an analysis result.

8. The system of claim 1, further comprising:

a postprocessing unit for removing noise data from the sensor data received by the at least one data collection unit.

9. The system of claim 8, wherein the postprocessing unit detects and removes the noise data according to a filtering reference and compresses the sensor data from which noise data has been removed.

10. The system of claim 9, further comprising:

a pattern analyzing unit for analyzing a pattern of the sensor data and renewing the filtering reference by using an analysis result.

11. The system of claim 1, wherein the selected data collection unit receives the sensor data from the at least one terminal device allocated by the allocation unit.

12. A system for processing sensor data, the system comprising:

a load adjustment unit, controlled by a processor, for receiving the sensor data and status information of at least one terminal device or a user of the at least one terminal device, from the at least one terminal device; and

a plurality of data collection units each configured for receiving the sensor data streams from the load adjustment unit,

wherein the load adjustment unit monitors a status of the at least one terminal device, predicts an amount of data included in the sensor data from the at least one terminal device by using the status information and a prediction reference, selects one of the the plurality of data collection units based on the predicted amount of data and a monitoring result, and transmits the sensor data of the at least one terminal device to the selected data collection unit.

13. The system of claim 12, further comprising:

a pattern analyzing unit for analyzing a relationship between the received status information and the sensor data and renewing the prediction reference by using an analysis result.

14. The system of claim 12, further comprising:

a postprocessing unit for removing noise data from the sensor data.

15. A method of processing sensor data streams, the method comprising:

detecting status information of a terminal device or a user of the terminal device;

transmitting a request for information regarding a first object server that is to transmit the sensor data streams and the status information to a relay server;

receiving the information regarding the first object server in response to the request; and

transmitting the sensor data streams and the status information to the first object server.

16. The method of claim 15, further comprising:

after transmitting the sensor data streams and the status information to the first object server,

receiving information regarding a second object server from the relay server; and

transmitting the sensor data streams and the status information to the second object server.

17. The method of claim 15, wherein the status information comprises an activity history of the user, status time information, location information of the at least one terminal device, or information corresponding to sensor data included in the sensor data streams.

18. A method of processing sensor data streams, the method comprising:

monitoring a status of at least one server that is to receive the sensor data streams from a terminal device;

receiving status information of the terminal device or a user of the terminal device and an allocation request for the at least one server from the terminal device;

selecting one of the at least one server by using the received status information and a monitoring result in response to the allocation request;

transmitting information regarding the selected server to the terminal device; and

receiving the sensor data streams from the terminal device by using the selected server.

19. The method of claim 18, wherein the selecting of the one of the at least one server comprises:

predicting an amount of data included in the sensor data streams from the terminal device by using the received status information and a prediction reference; and

selecting one of the at least one server by using the predicted amount of data and a monitoring result.

20. The method of claim 19, further comprising:

after receiving the sensor data streams from the terminal device by using the selected server,

analyzing a relationship between sensor data included in the received sensor data streams and the status information; and

renewing the prediction reference by using an analysis result.

21. The method of claim 18, further comprising:

after receiving the sensor data streams from the terminal device by using the selected server, removing noise data from sensor data included in the received sensor data streams according to a filtering reference.

22. The method of claim 21, further comprising:

after removing noise data from sensor data included in the received sensor data streams according to a filtering reference,

analyzing a pattern of sensor data included in the received sensor data streams; and

renewing the filtering reference by using an analysis result.

23. A data processing apparatus comprising:

a plurality of data collection units each configured to receive sensor data streams and status information from an external device; and

an allocation unit, controlled by a processor, to monitor a status of each of the plurality of data collection units and to allocate a data collection unit of the plurality of data collection units to a first external device of the plurality of external devices based on the respective status of the data collection units and the status information received from the external device.

24. The data processing apparatus of claim 23, wherein the status monitored by the allocation unit comprises a respective load level of each of the plurality of data collection units.

25. The data processing apparatus of claim 24, wherein the status information received from the external device indicates a data output of the external device.

26. The data processing apparatus of claim 25, wherein the status information received from the external device comprises a predicted data output of the external device.

27. The data processing apparatus of claim 26, wherein the allocation unit predicts the predicted data output of the external device using the status information received from the external device and a prediction reference comprising information about a relationship between the status information received from the external device and the predicted data output.