Big telematics data constructing system

• US 10,074,220 B2
• Filed: 11/20/2015
• Issued: 09/11/2018
• 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
• Primary Examiner(s): Merlino, David P.
• Application Number:
  US14/757,112
• Publication Number:
  US 20170148231A1
• Time in Patent Office: 1,026 Days
• Field of Search: None
• 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:

at least one processor; and

at least one memory having encoded thereon executable instructions that, when executed by said at least one processor, cause said at least one processor to carry out a method of processing raw telematics data, said method comprising;

receiving in real time a plurality of separate streams of raw telematics data associated with a plurality of separate vehicles, said streams of raw telematics data comprising units of data,

identifying, for each unit of said raw telematics data, a category for the unit of said raw telematics data from among a plurality of categories of data, each category of the plurality of categories of data being associated with an indication of whether received data of the category is to be altered,

separating said raw telematics data based upon a result of the identifying for each unit of said raw telematics data, wherein the separating comprises separating said raw telematics data into at least one unit of preserve data and at least one unit of alter data, wherein

said preserve data includes units of said raw telematics data for one or more categories associated with an indication that received data is not to be altered, and

said alter data includes units of said raw telematics for one or more categories associated with an indication that received data is to be altered,

for units of said alter data, producing altered data at least in part by altering each unit of said alter data dependent on the category identified for the unit in the identifying, and

assembling and formatting said preserve data and said altered data into analytical telematics data including said preserve data and said altered data for fleet management.

2. The real time analytical telematics big data constructing device as in claim 1 wherein said raw telematics data includes at least one 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. The real time analytical telematics big data constructing device as in claim 1 wherein said preserve data includes at least one of manufacturer indications for vehicle information number, debug data, or accelerometer data.

4. The real time analytical telematics big data constructing device as in claim 1 wherein said alter data includes at least one of raw vehicle data or raw GPS data.

5. The real time analytical telematics big data constructing device as in claim 1 wherein:

altering each unit of said alter data comprises, for each unit of said alter data, determining supplemental data for the unit of said alter data; and

said supplemental data is at least one of augment data or translate data.

6. The real time analytical telematics big data constructing device as in claim 5 wherein said augment data includes at least one of postal codes, zip codes, street names, addresses or commercial business names.

7. The real time analytical telematics big data constructing device as in claim 5 wherein said translate data includes at least one 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. The real time analytical telematics big data constructing device as in claim 1 further comprising an active big data load balancer to balance the load of said plurality of separate streams of raw telematics data.

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

10. The real time analytical telematics big data constructing device as in claim 9 wherein said active buffer is at least one active buffer for receiving and balancing the load of said alter data.

11. A The 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 and balancing the load of said analytical telematics data.

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

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

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

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

16. The 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. The 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 preserve data.

18. The 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 alter data.

19. The real time analytical telematics big data constructing device of claim 1, wherein altering each unit of the alter data comprises:

determining, for each unit of the alter data, an action associated with the category identified for the unit of alter data in the identifying; and

performing the action associated with the category to alter the unit of alter data.

20. The real time analytical telematics big data constructing device of claim 19, wherein:

determining, for each unit of the alter data, whether the category of the unit is associated with an augment action or a translate action; and

performing the action comprises;

in response to determining that the action for the category of the unit of alter data is an augment action,

determine, based on the category for the unit, a type of data to be aggregated with the unit of alter data; and

aggregating the type of data with the unit of alter data; and

in response to determining that the action for the category of the unit of alter data is a translate action,

determine, based on the category for the unit, a type of data according to which the unit of alter data is to be edited; and

editing the unit of alter data according to the type of data.

21. The real time analytical telematics big data constructing device of claim 20, wherein:

aggregating the type of data with the unit of alter data comprises;

determining, based on at least one value of the unit of data, a value of the type of data; and

aggregating the value of the type of data with the unit of alter data; and

editing the unit of data according to the type of data comprises;

determining, based on at least one value of the unit of data, a value of the type of data; and

editing the unit of data according to the value of the type of data.

22. The real time analytical telematics big data constructing device of claim 20, wherein editing the unit of data according to the type of data comprises replacing at least a portion of the unit of data with data of the type of data.

23. The real time analytical telematics big data constructing device of claim 1, wherein:

assembling and formatting said preserve data and said altered data into said analytical telematics data comprises generating an output stream of said analytical telematics data including said preserve data and said altered data; and

the method further comprises outputting the output stream of analytical telematics data, including said preserve data and said altered data, to at least one computing device configured to perform analytics on the stream of analytical telematics data.

24. A real time analytical telematics big data constructing system comprising, at least one mobile telematics device, at least one analytical telematics data constructor, said at least one mobile telematics device including a processor, memory and firmware for monitoring a vehicle to create and communicate a log of raw telematics data, said at least one mobile telematics device for providing said raw telematics data in real time to said at least one analytical telematics data constructor, said at least one analytical telematics data constructor including at least one processor and at least one memory having encoded thereon executable instructions that, when executed by said at least one processor, cause said at least one processor to carry out a method of processing said raw telematics data, said method comprising:

receiving in real time a plurality of separate streams of raw telematics data associated with a plurality of separate vehicles, said streams of raw telematics data comprising units of data,

identifying, for each unit of said raw telematics data, a category for the unit of said raw telematics data from among a plurality of categories of data, each category of the plurality of categories of data being associated with an indication of whether received data of the category is to be altered,

separating said raw telematics data based upon a result of the identifying for each unit of said raw telematics data, wherein the separating comprises separating said raw telematics data into at least one unit of preserve data and at least one unit of alter data, wherein

said preserve data includes units of said raw telematics data for one or more categories associated with an indication that received data is not to be altered, and

said alter data includes units of said raw telematics for one or more categories associated with an indication that received data is to be altered,

for units of said alter data, producing altered data at least in part by altering each unit of said alter data dependent on the category identified for the unit in the identifying, and

assembling and formatting said preserve data and said altered data into analytical telematics data including said preserve data and said altered data for fleet management.

25. The real time analytical telematics big data constructing system as in claim 24 wherein said raw telematics data includes at least one 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.

26. The real time analytical telematics big data constructing system as in claim 24 wherein said preserve data includes at least one of manufacturer indications for vehicle information number, debug data, or accelerometer data.

27. The real time analytical telematics big data constructing system as in claim 24 wherein said alter data includes at least one of raw vehicle data or raw GPS data.

28. The real time analytical telematics big data constructing system as in claim 24 wherein:

altering each unit of said alter data comprises, for each unit of said alter data, determining supplemental data for the unit of said alter data; and

said supplemental data is at least one of augment data or translate data.

29. The real time analytical telematics big data constructing system as in claim 28 wherein said augment data includes at least one of postal codes, zip codes, street names, addresses or commercial business names.

30. The real time analytical telematics big data constructing system as in claim 28 wherein said translate data includes at least one 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.

31. The real time analytical telematics big data constructing system as in claim 24 wherein said analytical big data constructor further comprises an active big data load balancer to balance the load of said plurality of separate streams of raw telematics data.

32. The real time analytical telematics big data constructing system as in claim 31 wherein said active big data load balancer is an active buffer and balancing the load of said alter data.

33. The real time analytical telematics big data constructing system as in claim 32 wherein said active buffer is at least one active buffer for receiving and balancing the load of said alter data.

34. The real time analytical telematics big data constructing system as in claim 32 wherein said active buffer is at least one active double buffer for receiving said analytical telematics big data.

35. The real time analytical telematics big data constructing system as in claim 31 wherein said active big data load balancer is auto scaling.

36. The real time analytical telematics big data constructing system as in claim 35 wherein said auto scaling pertains to said raw telematics data.

37. The real time analytical telematics big data constructing system as in claim 35 wherein said auto scaling pertains to said supplemental data.

38. The real time analytical telematics big data constructing system as in claim 35 wherein said auto scaling pertains to said preserve data.

39. The real time analytical telematics big data constructing system as in claim 31 wherein said active big data load balancer is an active telematics pipeline.

40. The real time analytical telematics big data constructing system as in claim 39 wherein said active telematics pipeline is at least one preserve data pipeline configured to auto scale for said preserve data.

41. The real time analytical telematics big data constructing system as in claim 39 wherein said active telematics pipeline is at least one alter data pipeline configured to auto scale for said alter data.