SYSTEMS AND METHODS FOR THE AUTONOMOUS CONTROL, AUTOMATED GUIDANCE, AND GLOBAL COORDINATION OF MOVING PROCESS MACHINERY

• US 20070271002A1
• Filed: 05/22/2006
• Published: 11/22/2007
• Est. Priority Date: 05/22/2006
• Status: Abandoned Application

• Current Assignee: Battelle Energy Alliance LLC (Battelle Memorial Institute)
• Original Assignee: Battelle Energy Alliance LLC (Battelle Memorial Institute)
• Inventors: Kenney, Kevin L., Anderson, Matthew O., McKay, Mark D., Hoskinson, Reed L.
• Application Number:
  US11/419,699
• Publication Number:
  US 20070271002A1
• Time in Patent Office: Days
• US Class Current: 700/245
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G05D 1/0291 Fleet control monitoring fleets in traffic control systems for road vehicles G08G1/127, G08G1/127
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A control system for controlling and coordinating a plurality of moving machines includes a global coordinator; a first subsystem controlled by the global coordinator, the first subsystem including a plurality of automated moving machines, the machines including sensors and actuators, including actuators for automated guidance and movement; and a local control system, under guidance of the global coordinator coupled to the sensors and actuators of one of the machines and configured to control automated functions for the machine, including automated guidance and movement; and an intelligent communications system configured to allow communications between the first subsystem and the global coordinator or a second subsystem.

Claims

1. A control system for controlling and coordinating a plurality of moving machines, the system comprising:

a global coordinator; and

a plurality of subsystems controlled by the global coordinator, respective subsystems including;

an intelligent real-time task planner including a job planner and job optimizer;

intelligent communications hardware configured to allow communications between the subsystem and the global coordinator or another subsystem;

an application intelligence system configured to control functions related to a specific task a machine has been given; and

a local intelligence system coupled to sensors and actuators of one of the machines and configured to control automated functions for the machine.

2. A control system in accordance with claim 1 and including an intelligent communications system configured to coordinate opportunistic communications between a subsystem and the global coordinator or another subsystem.

3. A control system in accordance with claim 2 wherein the intelligent communications system is configured to coordinate opportunistic communications by causing machines to pass a message from one machine to the other when they come within communications range.

4. A control system in accordance with claim 1 wherein the local intelligence is coupled to at least one sensor in a machine for sensing at least one of physical objects, chemicals, radiations, and electromagnetic signals, and wherein the local intelligence is configured to use the information from the sensor to protect the machine.

5. A control system in accordance with claim 1 wherein the local intelligence is coupled to at least one sensor in a machine for sensing at least one of chemicals, physical objects, radiation, and electromagnetic signals, and wherein the local intelligence is configured to use the information from the sensor to make decisions on partitioning work processes within a particular machine.

6. A control system in accordance with claim 1 wherein the local intelligence guides a particular machine through its environment.

7. A control system in accordance with claim 1 wherein the local intelligence guides a particular machine for movement relative to the ground.

8. A control system in accordance with claim 1 wherein the application intelligence is configured to interact with payload hauled by a machine, and with a sensor configured to measure a parameter related to payload.

9. A control system in accordance with claim 1 wherein the application intelligence is configured to optimize the settings of concaves of a combine.

10. A control system in accordance with claim 1 wherein the application intelligence is configured to optimize rotor speed of a combine.

11. A control system in accordance with claim 1 wherein the application intelligence is configured to optimize fan speed of a combine.

12. A control system in accordance with claim 1 and configured to optimize a bulk mining process.

13. A control system in accordance with claim 1, wherein the subsystems include an ore extraction subsystem, wherein the control system further includes a bulk transport subsystem including local intelligence, and an ore processing subsystem including local intelligence.

14. A control system in accordance with claim 13, wherein the bulk transport subsystem includes automated transport vehicles.

15. A method of controlling and coordinating a plurality of moving machines, the method comprising:

providing a global coordinator;

controlling a plurality of subsystems using the global coordinator; and

for at least one of subsystems;

planning and optimizing jobs;

communicating between the subsystem and the global coordinator or another subsystem;

controlling functions related to a specific task a machine in the subsystem has been given; and

controlling automated functions for the machine.

16. A method in accordance with claim 15 and further comprising performing opportunistic communications between a subsystem and the global coordinator or another subsystem.

17. A method in accordance with claim 16 and further comprising performing opportunistic communications by causing machines to pass a message from one machine to the other when they come within communications range.

18. A method in accordance with claim 15 wherein controlling automated functions comprises sensing at least one of physical objects, chemicals, radiations, and electromagnetic signals.

19. A method in accordance with claim 15 wherein controlling automated functions comprises sensing at least one of chemicals, physical objects, radiation, and electromagnetic signals, and using the information from the sensor to make decisions on partitioning work processes within a particular machine.

20. A method in accordance with claim 15 wherein controlling automated functions comprises guiding a particular machine through its environment.

21. A method in accordance with claim 15 wherein controlling the automated functions comprises guiding a particular machine for movement relative to the ground.

22. A method in accordance with claim 15 wherein controlling functions related to a specific task comprises sensing a parameter related to a payload hauled by a machine.

23. A method in accordance with claim 15 wherein controlling functions related to a specific task comprises optimizing the settings of concaves of a combine.

24. A method in accordance with claim 15 wherein controlling functions related to a specific task comprises optimizing rotor speed of a combine.

25. A method in accordance with claim 15 wherein controlling functions related to a specific task comprises optimizing fan speed of a combine.

26. A method in accordance with claim 15 and configured to optimize a bulk mining process.

27. A method in accordance with claim 15, wherein the subsystems include an ore extraction subsystem having a bulk transport subsystem and an ore processing subsystem.

28. A method in accordance with claim 27, wherein the bulk transport subsystem includes automated transport vehicles.

29. A control system for controlling and coordinating a plurality of moving machines, the system comprising:

a global coordinator;

a first subsystem controlled by the global coordinator, the first subsystem including;

a plurality of automated moving machines, the machines including sensors and actuators, including actuators for automated guidance and movement; and

a local control system, under guidance of the global coordinator coupled to the sensors and actuators of one of the machines and configured to control automated functions for the machine, including automated guidance and movement;

a second subsystem controlled by the global coordinator, the second subsystem including;

a plurality of automated moving machines, the machines of the second subsystem including sensors and actuators, including actuators for automated guidance and movement; and

a second local control system, under guidance of the global coordinator coupled to the sensors and actuators of one of the machines of the second subsystem and configured to control automated functions for the machine, including automated guidance and movement; and

an intelligent communications system configured to allow communications between the first subsystem and the global coordinator or the second subsystem.

30. A control system in accordance with claim 29 wherein the intelligent communications system is configured to coordinate opportunistic communications between the first subsystem and the global coordinator or the second subsystem.

31. A control system in accordance with claim 30 wherein the intelligent communications system is configured to coordinate opportunistic communications by causing machines to pass a message from one machine to the other when they come within communications range.

32. A control system in accordance with claim 29 wherein at least one of the machines of the first subsystem includes a sensor for sensing at least one of physical obstacles, chemicals, radiations, and electromagnetic signals, the local control system of the first subsystem being coupled to the at least one sensor and being configured to use information from the sensor to protect the machine.

33. A control system in accordance with claim 29 wherein at least one of the machines of the first subsystem includes a sensor and the local control system of the first subsystem is configured to use the information from the sensor to make decisions on partitioning work processes within a particular machine.

34. A control system in accordance with claim 29 wherein the local control system of the first subsystem guides a particular machine of the first subsystem through its environment.

35. A control system in accordance with claim 29 wherein the local control system of the first subsystem guides a particular machine in the first subsystem for movement relative to the ground.

36. A control system in accordance with claim 29 and further comprising a sensor configured to measure a parameter related to payload of a machine of the first subsystem, and wherein the local control system of the first subsystem is configured to interact with the payload in response to the payload parameter sensor.

37. A control system in accordance with claim 29 wherein the first subsystem includes a combine having concaves having selectable settings and wherein the local control system is configured to optimize the settings of concaves of a combine.

38. A control system in accordance with claim 29 wherein the first subsystem includes a combine having rotors having selectable speeds and wherein the local control system is configured to optimize rotor speed of a combine.

39. A control system in accordance with claim 29 wherein the first subsystem includes a combine and the local control system of the first subsystem is configured to optimize fan speed of the combine.

40. A control system in accordance with claim 29 and configured to optimize a bulk mining process.

41. A control system in accordance with claim 29, wherein the first subsystem is an ore extraction subsystem, wherein the second subsystem is a bulk transport subsystem, and wherein the control system further includes an ore processing subsystem.

42. A control system in accordance with claim 41, wherein the bulk transport subsystem includes automated transport vehicles.