Big telematics data constructing system

• US 20170148231A1
• Filed: 11/20/2015
• Published: 05/25/2017
• Est. Priority Date: 11/20/2015
• Status: Active Grant

• Current Assignee: GeoTab Incorporated
• Original Assignee: GeoTab Incorporated
• Inventors: Cawse, Neil Charles, Zhao, Yi, Dodgson, Daniel Michael
• Granted Patent: US 10,074,220 B2
• Time in Patent Office: Days
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]

Abstract

Apparatus, device, methods and system relating to a vehicular telemetry environment for the real time generation and transformation of raw telematics big data into analytical telematics big data that includes raw telematics big data and supplemental data.

Claims

1. A real time analytical telematics big data constructing device comprising:

a data segregator,

a data amender, and a

data amalgamator,

said data segregator for receiving raw telematics big data and segregating said raw telematics big data into at least one preserve data and at least one alter data,

said data amender for receiving said at least one alter data and at least one supplemental data to provide at least one amended data,

said data amalgamator for combining said at least one preserve data with said at least said one amended data,

whereby said raw telematics big data is transformed into analytical telematics big data including said at least one preserve data and said at least one alter data.

2. A real time analytical telematics big data constructing device as in claim 1 wherein said taw telematics big data is selected from the group of manufacturer indications for vehicle information number, debug data, manufacturer diagnostic trouble codes, latitude coordinates, longitude coordinates, accelerometer data, sensor data, near field communication data, or beacon object data.

3. A real time analytical telematics big data constructing device as in claim 1 wherein said at least one preserve data is selected from the group of manufacturer indications for vehicle information number, debug data, or accelerometer data.

4. A real time analytical telematics big data constructing device as in claim 1 wherein said alter data is selected from the group of raw vehicle data or raw GPS data.

5. A real time analytical telematics big data constructing device as in claim 1 wherein said supplemental data is at least one of augment data or translate data.

6. A real time analytical telematics big data constructing device as in claim 5 wherein said augment data is selected from the group of postal codes, zip codes, street names, addresses or commercial business names.

7. A real time analytical telematics big data constructing device as in claim 5 wherein said translate data is selected from the group of fault descriptions, odometer value, fuel, air metering, ignition system, emissions, vehicle speed control, idle control, transmission, current speed, engine RPM, battery voltages, pedal positions, tire pressure, oil level, airbag status, seatbelt indications, emission control data, engine temperature, intake manifold pressure, braking information, fuel levels, mass air flow values, traffic data, hours of service data, driver identification data, distance data, time data, amounts of material, truck scale weight data, driver distraction data, remote worker data, school bus warning light activation or door position.

8. A real time analytical telematics big data constructing device as in claim 1 further comprising an active big data load balancer.

9. A real time analytical telematics big data constructing device as in claim 8 wherein said active big data load balancer is an active buffer.

10. A real time analytical telematics big data constructing device as in claim 9 wherein said active buffer is at least one active buffer for receiving said alter data.

11. A real time analytical telematics big data constructing device as in claim 9 wherein said active buffer is at least one active double buffer for receiving said analytical telematics big data.

12. A real time analytical telematics big data constructing device as in claim 8 wherein said active big data load balancer is auto scaling.

13. A real time analytical telematics big data constructing device as in claim 12 wherein said auto scaling pertains to said data segregator and said raw telematics big data.

14. A real time analytical telematics big data constructing device as in claim 12 wherein said auto scaling pertains to said data amender and said supplemental data.

15. A real time analytical telematics big data constructing device as in claim 12 wherein said auto scaling pertains to said data amalgamator and said analytical telematics big data.

16. A real time analytical telematics big data constructing device as in claim 8 wherein said active big data load balancer is an active telematics pipeline.

17. A real time analytical telematics big data constructing device as in claim 16 wherein said active telematics pipeline is at least one preserve data pipeline configured to auto scale for said at least one preserve data.

18. A real time analytical telematics big data constructing device as in claim 16 wherein said active telematics pipeline is at least one alter data pipeline configured to auto scale for said at least one alter data.

19. A real time analytical telematics big data generating process comprising:

a data segregator state,

a data amender state, and a

data amalgamator state,

said data segregator state configured to receive raw telematics big data and segregating said raw telematics big data into at least one preserve data and at least one alter data,

said data amender state for receiving said at least one alter data and at least one supplemental data to provide at least one amended data,

said data amalgamator state for combining said at least one preserve data with said at least said one amended data,

whereby said raw telematics big data is transformed into analytical telematics big data including said at least one preserve data and said at least one alter data.

20. A real time analytical telematics big data constructing device as in claim 19 wherein said raw telematics big data is selected from the group of manufacturer indications for vehicle information number, debug data, manufacturer diagnostic trouble codes, latitude coordinates, longitude coordinates, accelerometer data, sensor data, near field communication data, or beacon object data.

21. A real time analytical telematics big data constructing device as in claim 19 wherein said at least one preserve data is selected from the group of manufacturer indications for vehicle information number, debug data, or accelerometer data.

22. A real time analytical telematics big data constructing device as in claim 19 wherein said alter data is selected from the group of raw vehicle data or raw GPS data.

23. A real time analytical telematics big data constructing device as in claim 19 wherein said supplemental data is at least one of augment data or translate data.

24. A real time analytical telematics big data constructing device as in claim 23 wherein said augment data is selected from the group of postal codes, zip codes, street names, addresses or commercial business names.

25. A real time analytical telematics big data constructing device as in claim 23 wherein said translate data is selected from the group of fault descriptions, odometer value, fuel, air metering, ignition system, emissions, vehicle speed control, idle control, transmission, current speed, engine RPM, battery voltages, pedal positions, tire pressure, oil level, airbag status, seatbelt indications, emission control data, engine temperature, intake manifold pressure, braking information, fuel levels, mass air flow values, traffic data, hours of service data, driver identification data, distance data, time data, amounts of material, truck scale weight data, driver distraction data, remote worker data, school bus warning light activation or door position.

26. A real time analytical telematics big data constructing device as in claim 19 further comprising an active big data load balancer.

27. A real time analytical telematics big data constructing device as in claim 26 wherein said active big data load balancer is an active buffer.

28. A real time analytical telematics big data constructing device as in claim 27 wherein said active buffer is at least one active buffer for receiving said alter data.

29. A real time analytical telematics big data constructing device as in claim 27 wherein said active buffer is at least one active double buffer for receiving said analytical telematics big data.

30. A real time analytical telematics big data constructing device as in claim 26 wherein said active big data load balancer is auto scaling.

31. A real time analytical telematics big data constructing device as in claim 30 wherein said auto scaling pertains to said data segregator state and said raw telematics big data.

32. A real time analytical telematics big data constructing device as in claim 30 wherein said auto scaling pertains to said data amender state and said supplemental data.

33. A real time analytical telematics big data constructing device as in claim 30 wherein said auto scaling pertains to said data amalgamator state and said analytical telematics big data.

34. A real time analytical telematics big data constructing device as in claim 26 wherein said active big data load balancer is an active telematics pipeline.

35. A real time analytical telematics big data constructing device as in claim 34 wherein said active telematics pipeline is at least one preserve data pipeline configured to auto scale for said at least one preserve data.

36. A real time analytical telematics big data constructing device as in claim 34 wherein said active telematics pipeline is at least one alter data pipeline configured to auto scale for said at least one alter data.

37. A real time analytical telematics big data constructing system comprising,

at least one mobile telematics device,

at least one analytical telematics big data constructor,

said at least one telematics device for providing raw telematics big data to said at least one analytical telematics big data constructor,

said at least on analytical telematics big data constructor for segregating said raw telematics big data into at least one preserve data and at least one alter data,

said at least on analytical telematics big data constructor for receiving at least one alter data and at least one supplemental data to provide at least one amended data,

said at least one analytical telematics big data constructor for combining said at least one preserve data with said at least said one amended data,

whereby said raw telematics big data is transformed into analytical telematics big data including said at least one preserve data and said at least one alter data.

38. A real time analytical telematics big data constructing system as in claim 37 wherein said raw telematics big data is selected from the group of manufacturer indications for vehicle information number, debug data, manufacturer diagnostic trouble codes, latitude coordinates, longitude coordinates, accelerometer data, sensor data, near field communication data, or beacon object data.

39. A real time analytical telematics big data constructing system as in claim 37 wherein said at least one preserve data is selected from the group of manufacturer indications for vehicle information number, debug data, or accelerometer data.

40. A real time analytical telematics big data constructing system as in claim 37 wherein said alter data is selected from the group of raw vehicle data or raw GPS data.

41. A real time analytical telematics big data constructing system as in claim 37 wherein said supplemental data is at least one of augment data or translate data.

42. A real time analytical telematics big data constructing system as in claim 41 wherein said augment data is selected from the group of postal codes, zip codes, street names, addresses or commercial business names.

43. A real time analytical telematics big data constructing system as in claim 41 wherein said translate data is selected from the group of fault descriptions, odometer value, fuel, air metering, ignition system, emissions, vehicle speed control, idle control, transmission, current speed, engine RPM, battery voltages, pedal positions, tire pressure, oil level, airbag status, seatbelt indications, emission control data, engine temperature, intake manifold pressure, braking information, fuel levels, mass air flow values, traffic data, hours of service data, driver identification data, distance data, time data, amounts of material, truck scale weight data, driver distraction data, remote worker data, school bus warning light activation or door position.

44. A real time analytical telematics big data constructing system as in claim 37 wherein said analytical big data constructor further comprises an active big data load balancer.

45. A real time analytical telematics big data constructing system as in claim 44 wherein said active big data load balancer is an active buffer.

46. A real time analytical telematics big data constructing system as in claim 45 wherein said active buffer is at least one active buffer for receiving said alter data.

47. A real time analytical telematics big data constructing system as in claim 45 wherein said active buffer is at least one active double buffer for receiving said analytical telematics big data.

48. A real time analytical telematics big data constructing system as in claim 44 wherein said active big data load balancer is auto scaling.

49. A real time analytical telematics big data constructing system as in claim 48 wherein said auto scaling pertains to segregating said raw telematics big data into at least one preserve data and at least one alter data.

50. A real time analytical telematics big data constructing system as in claim 48 wherein said auto scaling pertains to said receiving at least one alter data and at least one supplemental data to provide at least one amended data.

51. A real time analytical telematics big data constructing system as in claim 48 wherein said auto scaling pertains to said combining said at least one preserve data with said at least one amended data.

52. A real time analytical telematics big data constructing device as in claim 44 wherein said active big data load balancer is an active telematics pipeline.

53. A real time analytical telematics big data constructing device as in claim 52 wherein said active telematics pipeline is at least one preserve data pipeline configured to auto scale for said at least one preserve data.

54. A real time analytical telematics big data constructing device as in claim 52 wherein said active telematics pipeline is at least one alter data pipeline configured to auto scale for said at least one alter data.