METHOD AND SYSTEM FOR MOBILE ASSET MANAGEMENT

• US 20100262450A1
• Filed: 04/10/2009
• Published: 10/14/2010
• Est. Priority Date: 04/10/2009
• Status: Abandoned Application

• Current Assignee: Asset Intelligence LLC (PowerFleet, Inc.)
• Original Assignee: Asset Intelligence LLC (PowerFleet, Inc.)
• Inventors: DiMarzio, Bethany Lynne, Bhattacharjee, Sudip, Kalish, Christopher, Wu, Qiqing, Sen, Rohini, Sankaranarayanan, Ramesh, Vellutino, Gain-Carlo, Chen, Sixing
• Application Number:
  US12/421,764
• Publication Number:
  US 20100262450A1
• Time in Patent Office: Days
• US Class Current: 705/8
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/085 using electronic data carriers

Abstract

A method and system related to managing mobile assets, the method including receiving asset event data associated with a plurality of mobile assets including information indicative of location status, motion status, and cargo status of the plurality of mobile assets; determining asset segment data defined by the asset event data of the plurality of mobile assets during a time interval based on the asset event data; determining turn time data for each of the plurality of mobile assets; calculating a set of metrics for the plurality of mobile assets based on the asset segment data and the turn time data; determining an optimal asset pool size for a location to be serviced by the plurality of mobile assets; and providing an output of the determined optimal asset pool size for the location.

Claims

1. A computer-implemented method, the method comprising:

receiving asset event data associated with a plurality of mobile assets, the asset event data including information indicative of location status, motion status, and cargo status of the plurality of mobile assets;

determining, by a computer, asset segment data for the plurality of mobile assets based on the asset event data, the asset segment data defined by the asset event data of the plurality of mobile assets during a time interval;

determining, by the computer, turn time data for each of the plurality of mobile assets, the turn time data being based on the asset segment data and a user-defined delivery cycle;

calculating, by the computer, a set of metrics for the plurality of mobile assets based on the asset segment data and the turn time data;

determining, by the computer, an optimal asset pool size for a location to be serviced by the plurality of mobile assets; and

providing an output of the determined optimal asset pool size for the location.

2. The method of claim 1, further comprising:

determining errors in the received asset event data;

storing the asset event data minus the determined errors; and

determining asset segment data for the plurality of mobile assets based on the asset event data minus the determined errors.

3. The method of claim 1, wherein the asset segment data is defined by the location status, the motion status, and the cargo status of the asset event data.

4. The method of claim 1, wherein the time interval is one of the following:

an in transit time interval during which the mobile asset is in transit from a one location to another location, an idle time interval during which the mobile asset is stationary at a particular location, and a dormant time interval during which the mobile asset a location status and motion status is not available from the mobile asset.

5. The method of claim 1, further comprising:

determining errors in the asset segment data;

storing the asset segment data minus the determined errors; and

determining the turn time data for the plurality of mobile assets based on the asset segment data minus the determined errors.

6. The method of claim 1, wherein the calculated set of metrics includes a count of unique mobile assets, a count of occurrences of outbound mobile assets, and an average turn time per mobile asset.

7. The method of claim 1, wherein the determined optimal asset pool size for the location is the minimum number of mobile assets required to service the location.

8. The method of claim 1, further comprising storing the asset segment data and the turn time data for the plurality of mobile assets.

9. The method of claim 1, wherein the plurality of mobile assets comprise a fleet.

10. A system for managing mobile assets, the system comprising:

a data source; and

a computer including a processor and in communication with the data source, the computer operable to;

receive asset event data associated with a plurality of mobile assets comprising a fleet, the asset event data including information indicative of location status, motion status, and cargo status of the plurality of mobile assets;

determine asset segment data for the plurality of mobile assets based on the asset event data, the asset segment data defined by the asset event data of the plurality of mobile assets during a time interval;

determine turn time data for each of the plurality of mobile assets, the turn time data being based on the asset segment data and a user-defined delivery cycle;

calculate a set of metrics for the plurality of mobile assets based on the asset segment data and the turn time data;

determine an optimal asset pool size for a location to be serviced by the plurality of mobile assets; and

provide an output of the determined optimal asset pool size for the location.

11. The system of claim 10, where the computer is further operable to:

determine errors in the received asset event data;

store the asset event data minus the determined errors; and

determine asset segment data for the plurality of mobile assets based on the asset event data minus the determined errors.

12. The system of claim 10, wherein the asset segment data is defined by the location status, the motion status, and the cargo status of the asset event data.

13. The system of claim 10, wherein the time interval is one of the following:

an in transit time interval during which the mobile asset is in transit from one location to another location, an idle time interval during which the mobile asset is stationary at a particular location, and a dormant time interval during which a location status and a motion status is not available from the mobile asset.

14. The method of claim 10, wherein the processor is further operable to:

determine errors in the asset segment data;

store the asset segment data minus the determined errors; and

determine the turn time data for the plurality of mobile assets based on the asset segment data minus the determined errors.

15. The system of claim 10, wherein the calculated set of metrics includes a count of unique mobile assets, a count of occurrences of outbound mobile assets, and an average turn time per mobile asset.

16. The system of claim 10, wherein the determined optimal asset pool size for the location is the minimum number of mobile assets required to service the location.

17. The system of claim 10, further comprising storing the asset segment data and the turn time data for the plurality of mobile assets.

18. The system of claim 10, wherein the plurality of mobile assets comprises a fleet.