Automated machine management system with destination selection

• US 20090216410A1
• Filed: 02/26/2008
• Published: 08/27/2009
• Est. Priority Date: 02/26/2008
• Status: Abandoned Application

• Current Assignee: Caterpillar Incorporated
• Original Assignee: Caterpillar Incorporated
• Inventors: Grembowicz, Conrad Gene, Koch, Roger Dale, Everett, Bryan James, Allen, William Edward
• Application Number:
  US12/071,769
• Publication Number:
  US 20090216410A1
• Time in Patent Office: Days
• US Class Current: 701/50
• CPC Class Codes: G05D 1/0238 using obstacle or wall sensors G05D1/0246 and G05D1/0289 take precedence; lidar systems designed for anti-collision purposes G01S17/93
• CPC Class Codes: G05D 1/0278 using satellite positioning signals, e.g. GPS
• CPC Class Codes: G05D 1/0297 by controlling means in a control room
• CPC Class Codes: G06Q 10/08355 Routing methods

Abstract

A management system is provided having a data storage device configured to receive and store data from a loading machine and at least one of a plurality of transport machines. The data stored in the machines is indicative of at least one of a position and status of the loading machine and at least one of the plurality of transport machines. The management system also has a destination generator configured to estimate a location of an event and select and direct one of the plurality of transport machines to the estimated location. The estimated location is based on data received from the loading machine and data stored in the data storage device. The received and stored data are indicative of at least one of a current position and status of the loading machine and at least one of a previous position and status of the loading machine.

Claims

1. A management system comprising:

a data storage device configured to receive and store data from a loading machine and at least one of a plurality of transport machines, wherein the data is indicative of at least one of a position and status of the loading machine and at least one of the plurality of transport machines; and

a destination generator configured to estimate a location of an event and select and direct one of the plurality of transport machines to the estimated location, the estimate being based on data received from the loading machine and data stored in the data storage device, the received and stored data being indicative of at least one of a current position and status of the loading machine and at least one of a previous position and status of the loading machine.

2. The management system of claim 1, wherein the destination generator is configured to determine a trend in the stored data and base the estimate of the location of the event on the trend.

3. The management system of claim 2, wherein the destination generator is configured to modify the estimated location of the event in response to data received from the loading machine while the selected transport machine travels toward the estimated location and redirect the selected transport machine toward the modified estimated location.

4. The management system of claim 3, further including a destination location monitor configured to determine an actual location of the event based on data received from the loading machine, the data indicating a current position and status of the loading machine.

5. The management system of claim 4, wherein the destination location monitor directs the selected transport machine to the actual location when the actual and estimated locations are different.

6. The management system of claim 5, wherein the destination location monitor is configured to delete the data stored in the data storage device used to generate the estimated location in response to a discrepancy between the estimated and actual locations.

7. The management system of claim 1, wherein the data storage device and the destination generator are located remotely from the loading machine and the plurality of transport machines.

8. A method for automatically positioning a machine for an event, comprising:

receiving and storing data from a loading machine;

receiving and storing data from at least one of a plurality of transport machines;

automatically estimating a location of the event based on the received data and previously stored data; and

automatically selecting and directing a transport machine toward the estimated location.

9. The method of claim 8, further including determining a trend in the previously stored data and basing the estimate of the location of the event on the trend.

10. The method of claim 9, further including receiving data from the loading machine while the selected transport machine is traveling toward the estimated location, modifying the estimated location in response to the received data, and directing the selected transport machine to the modified estimated location.

11. The method of claim 10, further including determining an actual location of the event based on data received from the loading machine.

12. The method of claim 11, further including directing the selected transport machine to the actual location of the event when the estimated and actual locations of the event are different.

13. The method of claim 12, further including deleting the stored data used to generate the estimated location in response to a discrepancy between the estimated and actual locations of the event.

14. The method of claim 13, further including deleting the stored data used to generate the estimated location when the discrepancy between the estimated and actual locations of the event is greater than a threshold distance.

15. A local machine, comprising:

a data storage device configured to receive and store data from the local machine and at least one remote machine, the data being indicative of at least one of a position and status of the machine and the at least one of the remote machines; and

a destination generator configured to estimate a location of an event and select and direct one of the remote machines to the estimated location, the estimate being based on data received from the local machine and data stored in the data storage device, the received and stored data being indicative of at least one of a current position and status of the local machine and at least one of a previous position and status of the local machine.

16. The local machine of claim 15, wherein the destination generator is configured to determine a trend in the stored data and base the estimate of the location of the event on the trend.

17. The local machine system of claim 16, wherein the destination generator is configured to modify the estimated location of the event in response to data received from the local machine while the selected remote machine travels toward the estimated location and redirect the selected remote machine toward the modified estimated location.

18. The local machine of claim 17, further including a destination location monitor configured to determine an actual location of the event based on data received from the local machine, the data indicating a current position and status of the local machine.

19. The local machine of claim 18, wherein the destination location monitor directs the selected remote machine to the actual location when the actual and estimated locations are different.

20. The local machine of claim 19, wherein the destination location monitor is configured to delete the data stored in the data storage device used to generate the estimated location in response to a discrepancy between the estimated and actual locations.