System and method for remotely analyzing machine performance

• US 8,306,797 B2
• Filed: 05/09/2011
• Issued: 11/06/2012
• Est. Priority Date: 08/26/2003
• Status: Active Grant

• Current Assignee: Siemens Large Drives LLC
• Original Assignee: Siemens Industry Incorporated (Siemens AG)
• Inventors: Furem, Ken, Robertson, Daniel W., Madhavarao, Gopal
• Primary Examiner(s): JONES, HUGH M
• Application Number:
  US13/103,543
• Publication Number:
  US 20110231169A1
• Time in Patent Office: 547 Days
• Field of Search: 703/6, 703/8
• US Class Current: 703/8
• CPC Class Codes: E02F 9/2054 Fleet management
• CPC Class Codes: E02F 9/267 Diagnosing or detecting failure of vehicles

Abstract

Certain exemplary embodiments can comprise obtaining and analyzing data from at least one discrete machine, automatically determining relationships related to the data, taking corrective action to improve machine operation and/or maintenance, automatically and heuristically predicting a failure associated with the machine and/or recommending preventative maintenance in advance of the failure, and/or automating and analyzing mining shovels, etc.

Claims

1. A method for managing mining machine information comprising a plurality of activities, the activities comprising:

receiving a plurality of values for a plurality of mining machine system variables associated with one or more mining machine system components, the plurality of mining machine system variables including at least one operational variable comprising non-binary values;

determining a mathematical correlation between at least two variables of the plurality of mining machine system variables;

analyzing the determined correlation between the at least two variables using a pattern recognition algorithm to determine a performance of the one or more mining machine system components; and

rendering a visually-renderable graphical analysis report that indicates the determined performance of the one or more mining machine system components wherein the mining machine components include a shovel and the report indicates a performance of swing, crowd and hoist motors of the shovel.

2. The method of claim 1, the at least two variables comprising at least one non-load-related variable and at least one non-positional variable.

3. The method of claim 1, further comprising automatically determining at least one statistical metric related to at least one of the plurality mining machine system variables.

4. The method of claim 1, further comprising automatically determining a trend in at least one of the plurality of mining machine system variables.

5. The method of claim 1, further comprising automatically generating the visually-renderable graphical analysis report.

6. The method of claim 1, further comprising automatically comparing at least one value from the plurality of values to a predetermined standard.

7. The method of claim 1, further comprising automatically notifying a management entity responsive to the analyzing activity.

8. The method of claim 1, further comprising automatically notifying a maintenance entity to perform a maintenance activity.

9. The method of claim 1, wherein the plurality of mining machine system variables comprises at least:

an operational variable, an environmental variable, a variable related to maintenance of a mining machine, or a variable related to electrical performance of a mining machine.

10. The method of claim 1, wherein said analyzing activity comprises utilizing at least:

one heuristic rule, predicting performance, predicting a failure, predicting a failure of a mechanical component, or predicting a failure of an electrical component.

11. The method of claim 1, wherein receiving a plurality of values for a plurality of mining machine system variables associated with one or more mining machine system components comprises:

receiving the plurality of mining machine system variables at a transmission rate selected by a wirelessly receiving user.

12. A machine-readable medium comprising stored computer executable instructions for:

receiving a plurality of values for a plurality of mining machine system variables associated with one or more mining machine system components, the plurality of mining machine system variables including at least one operational variable comprising non-binary values;

determining a mathematical correlation between at least two variables of the plurality of mining machine system variables;

analyzing the determined correlation between the at least two variables using a pattern recognition algorithm to determine a performance of the one or more mining machine system components; and

rendering a visually-renderable graphical analysis report that indicates the determined performance of the one or more mining machine system components wherein the mining machine components include a shovel and the report indicates a performance of swing, crowd and hoist motors of the shovel.

13. The medium of claim 12, the at least two variables comprising at least one non-load-related variable and at least one non-positional variable.

14. A system for remotely analyzing a mining machine, the system comprising:

a hardware input processor adapted to receive a plurality of values for a plurality of mining machine system variables associated with one or more mining machine system components, the plurality of mining machine system variables including at least one operational variable comprising non-binary values;

a hardware analytic processor adapted to determine a mathematical correlation between at least two variables of the plurality of mining machine system variables; and

a hardware report processor adapted to render a visually-renderable graphical analysis report that indicates the determined performance of the one or more mining machine system components wherein the mining machine components include a shovel and the report indicates a performance of swing, crowd and hoist motors of the shovel.

15. The system of claim 14, wherein the hardware input processor is adapted to receive at a transmission rate selected by a wirelessly receiving user.

16. The system of claim 15, wherein the hardware analytic process is adapted to analyze the determined correlation between the at least two variables using a pattern recognition algorithm to determine a performance of the one or more mining machine system components.

17. The system of claim 16, wherein the at least two correlated variables comprise non-load-related and non-positional variables.

18. The system of claim 14, wherein the hardware report processor is adapted to render a visually-renderable graphical analysis report that indicates the determined performance of the one or more mining machine system components.

19. The system of claim 17, wherein the hardware report processor is adapted to render a visually-renderable graphical analysis report that indicates the determined performance of the one or more mining machine system components.