AGGREGATING AND FILTERING DATA FROM MOBILE DEVICES

• US 20150032418A1
• Filed: 07/16/2014
• Published: 01/29/2015
• Est. Priority Date: 07/25/2013
• Status: Abandoned Application

• Current Assignee: GlobalFoundries, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Akiyama, Kazuhito, Yamashita, Yuhji
• Application Number:
  US14/332,607
• Publication Number:
  US 20150032418A1
• Time in Patent Office: Days
• US Class Current: 702/190
• CPC Class Codes: G07C 5/085 using electronic data carriers

Abstract

Data from movable devices, each of which has at least one sensor, is aggregated using a method comprising: receiving data from multiple movable devices, where each datum from the data is generated by at least one sensor within a movable device from the multiple movable devices; determining, based on received data from the multiple movable devices, whether at least two movable devices from the multiple movable devices are mutually related; determining, based on received data from the multiple movable devices, whether the received data from different sensors are mutually related; and filtering at least a part of the data from the multiple movable devices judged to be mutually related and that was generated by sensors that are mutually related according to shared attributes of the multiple movable devices and the sensors in the multiple movable devices.

Claims

1. A method for aggregating data from movable devices, wherein each of the movable devices comprises at least one sensor, wherein each of the movable devices is capable of performing filtering processing, and wherein the method comprises:

receiving, by one or more processors, data from multiple movable devices, wherein each datum from the data is generated by at least one sensor within a movable device from the multiple movable devices;

determining, by one or more processors and based on received data from the multiple movable devices, whether at least two movable devices from the multiple movable devices are mutually related;

determining, by one or more processors and based on received data from the multiple movable devices, whether the received data from different sensors are mutually related; and

filtering, by one or more processors, at least a part of the data from the multiple movable devices judged to be mutually related and that was generated by sensors that are mutually related according to shared attributes of the multiple movable devices and the sensors in the multiple movable devices.

2. The method according to claim 1, further comprising:

defining, by one or more processors, a first sensor from a first movable device as a main sensor;

defining, by one or more processors, multiple second sensors from the multiple movable devices as subordinate sensors; and

mutually associating, among different sensors provided in the multiple movable devices judged to be mutually related and among the different sensors transmitting the data judged to be mutually related, the main sensor with the subordinate sensors.

3. The method according to claim 2, further comprising:

retaining, by one or more processors, all data from the main sensor while deleting all data from the subordinate sensors.

4. The method according to claim 2, further comprising:

supplementing, by one or more processors, data from the main sensor with a portion of data from the subordinate sensors.

5. The method according to claim 1, further comprising:

determining, by one or more processors, whether a relation among the multiple movable devices judged to be mutually related and a relation among the data judged to be mutually related is to be canceled, wherein said determining is based on contents of the data received from the multiple movable devices; and

in response to the relation among the multiple movable devices judged to be mutually related and the relation among the data judged to be mutually related being reversed, such that the relation is canceled, stopping, by one or more processors, said filtering of at least a part of the data from the multiple movable devices judged to be mutually related.

6. The method according to claim 5, wherein cancellation of the relation among the multiple movable devices judged to be mutually related is performed in response to a movable device physically moving in a different direction than other movable devices that were previously judged to be mutually related.

7. The method according to claim 1, further comprising:

identifying, by one or more processors, a first movable device that is performing a same physical movement as other related movable devices; and

determining, by one or more processors, that the first movable device and the other related movable devices are related based on past history data describing past movement and ownership of the first movable device and the other related movable devices.

8. The method according to claim 1, further comprising:

retaining, by one or more processors, received data from a high-precision sensor while deleting received data from other sensors, wherein the other sensors have been predetermined to not be as precise as the high-precision sensor in generating sensor data, and wherein the received data from the high-precition sensor is retained in a storage device;

deleting, by one or more processors, any data that shows a value that has been predetermined to be abnormal for a particular movable device, wherein said any data is deleted from the storage device;

comparing, by one or more processors, collection times of data from the movable device judged to be mutually related;

retaining within the storage device, by one or more processors, only received data that is collected by the multiple moveable devices within a predetermined collection interval; and

combining, by one or more processors, received data that is deemed to be mutually related with data that is deemed to be mutually unrelated into a single data set.

9. An apparatus for aggregating data from movable devices, wherein each of the movable devices comprises at least one sensor, wherein each of the movable devices is capable of performing filtering processing, and wherein the apparatus comprises:

a hardware receiver for receiving data from multiple movable devices, wherein each datum from the data is generated by at least one sensor within a movable device from the multiple movable devices;

a first hardware determining device for determining, based on received data from the multiple movable devices, whether at least two movable devices from the multiple movable devices are mutually related;

a second hardware determining device for determining, based on received data from the multiple movable devices, whether the received data from different sensors are mutually related; and

a filtering hardware device for filtering at least a part of the data from the multiple movable devices judged to be mutually related and that was generated by sensors that are mutually related according to shared attributes of the multiple movable devices and the sensors in the multiple movable devices.

10. The apparatus according to claim 9, further comprising:

a first hardware defining device for defining a first sensor from a first movable device as a main sensor;

a second hardware defining device for defining multiple second sensors from the multiple movable devices as subordinate sensors; and

an associating hardware device for mutually associating, among different sensors provided in the multiple movable devices judged to be mutually related and among the different sensors transmitting the data judged to be mutually related, the main sensor with the subordinate sensors.

11. The apparatus according to claim 10, further comprising:

a retaining hardware device for retaining all data from the main sensor while deleting all data from the subordinate sensors.

12. The apparatus according to claim 10, further comprising:

a supplementing hardware device for supplementing data from the main sensor with a portion of data from the subordinate sensors.

13. The apparatus according to claim 9, further comprising:

a first retaining hardware device for retaining received data from a high-precision sensor while deleting received data from other sensors, wherein the other sensors have been predetermined to not be as precise as the high-precision sensor in generating sensor data, and wherein the received data from the high-precision sensor is retained in a storage device;

a deleting hardware device for deleting any data that shows a value that has been predetermined to be abnormal for a particular movable device, wherein said any data is deleted from the storage device;

a comparing hardware device for comparing collection times of data from the multiple movable devices judged to be mutually related;

a second retaining hardware device for retaining within the storage device only received data that is collected by the multiple moveable devices within a predetermined collection interval; and

a combining hardware device for combining received data that is deemed to be mutually related with data that is deemed to be mutually unrelated into a single data set.

14. A computer program product for aggregating data from multiple movable devices, wherein each of the multiple movable devices comprises at least one sensor, wherein each of the multiple movable devices is capable of performing filtering processing, wherein the computer program product comprises a computer readable medium having program code embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and wherein the program code is readable and executable by a processor to perform a method comprising:

receiving data from the multiple movable devices, wherein each datum from the data is generated by at least one sensor within a movable device from the multiple movable devices;

determining, based on received data from the multiple movable devices, whether at least two movable devices from the multiple movable devices are mutually related;

determining, based on received data from the multiple movable devices, whether the received data from different sensors are mutually related; and

filtering at least a part of the data from the multiple movable devices judged to be mutually related and that was generated by sensors that are mutually related according to shared attributes of the multiple movable devices and the sensors in the multiple movable devices.

15. The computer program product of claim 14, wherein the method further comprises:

defining a first sensor from a first movable device as a main sensor;

defining multiple second sensors from the multiple movable devices as subordinate sensors; and

mutually associating, among different sensors provided in the multiple movable devices judged to be mutually related and among the different sensors transmitting the data judged to be mutually related, the main sensor with the subordinate sensors.

16. The computer program product of claim 15, wherein the method further comprises:

retaining all data from the main sensor while deleting all data from the subordinate sensors.

17. The computer program product of claim 15, wherein the method further comprises:

supplementing data from the main sensor with a portion of data from the subordinate sensors.

18. The computer program product of claim 14, wherein the method further comprises:

determining whether a relation among the multiple movable devices judged to be mutually related and a relation among the data judged to be mutually related is to be canceled, wherein said determining is based on contents of the data received from the multiple movable devices; and

in response to the relation among the multiple movable devices judged to be mutually related and the relation among the data judged to be mutually related being reversed, such that the relation is canceled, stopping said filtering of at least a part of the data from the multiple movable devices judged to be mutually related.

19. The computer program product of claim 18, wherein cancellation of the relation among the multiple movable devices judged to be mutually related is performed in response to a movable device physically moving in a different direction than other movable devices that were previously judged to be mutually related.

20. The computer program product of claim 14, wherein the method further comprises:

retaining received data from a high-precision sensor while deleting received data from other sensors, wherein the other sensors have been predetermined to not be as precise as the high-precision sensor in generating sensor data, and wherein the received data from the high-precision sensor is retained in a storage device;

deleting any data that shows a value that has been predetermined to be abnormal for a particular movable device, wherein said any data is deleted from the storage device;

comparing collection times of data from the multiple movable devices judged to be mutually related;

retaining within the storage device only received data that is collected by the multiple movable devices within a predetermined collection interval; and

combining received data that is deemed to be mutually related with data that is deemed to be mutually unrelated into a single data set.