System and method for indentifying, validating, weighing and characterizing moving or stationary vehicles and cargo

• US 20060111868A1
• Filed: 11/24/2004
• Published: 05/25/2006
• Est. Priority Date: 11/24/2004
• Status: Active Grant

• Current Assignee: UT-Battelle LLC
• Original Assignee: UT-Battelle LLC
• Inventors: Abercrombie, Robert K., Beshears, David L., Batsell, Stephen G., White, Clifford P., Scudiere, Matthew B.
• Granted Patent: US 7,305,324 B2
• Time in Patent Office: Days
• US Class Current: 702/173
• CPC Class Codes: G01G 19/02 for weighing wheeled or rolling bodies, e.g. vehicles
• CPC Class Codes: G01G 23/3735 using a digital network

Abstract

An asset identification and information infrastructure management (AI3M) device having an automated identification technology system (AIT), a Transportation Coordinators'"'"' Automated Information for Movements System II (TC-AIMS II), a weigh-in-motion system (WIM-II), and an Automated Air Load Planning system (AALPS) all in electronic communication for measuring and calculating actual asset characteristics, either statically or in-motion, and further calculating an actual load plan.

Claims

12. A WIM-II device comprising;

a) at least one transducer pad, said pad having at least one transducer group with transducers positioned essentially perpendicular to the direction of travel, each transducer group positioned at a pre-defined distance from each other in a direction essentially parallel to the direction of travel;

b) at least one pad microcomputer on each transducer pad, said pad microcomputer using a means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed;

c) at least one host microcomputer in electronic communication with each pad microcomputer, said host microcomputer using a means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance;

d) a network communication system for transferring data between said pad microcomputer and said host microcomputer.

13. The WIM-II device of claim 12 wherein said means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed further comprises the method of moments.

14. The WIM-II device of claim 12 wherein said means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance further comprises the least squares method.

15. The WIM-II device of claim 12 wherein said network communication system is a controller area network.

16. A method of characterizing assets comprising the steps of:

a) establishing an electronic communication path between AIT, TC-AIMS-II, WIM-II, and AALPS,

b) identifying an asset with AIT,

c) retrieving planned asset characteristics from TC-AIMS-II,

d) transmitting said planned asset characteristics to WIM-II,

e) measuring actual asset characteristics using WIM-II,

f) transmitting said actual asset characteristics to TC-AIMS-II and AALPS,

g) calculating an actual load plan using AALPS.

17. The method of claim 16 wherein said AIT further comprises,

a) at least one data storage device,

b) at least one hardware device for writing information on said data storage device,

c) at least one data reception device, and

d) at least one communications infrastructure linking said AIT to said TC-AIMS II.

18. The method of claim 17 wherein said data storage device is selected from at least one of the group consisting of bar code label, optical memory card, smart card, and radio frequency (RFID) tag.

19. The method of claim 18 wherein said RFID tag is selected from at least one of the group consisting of active tags and passive tags.

20. The method of claim 16 wherein said TC-AIMS II further comprises an interface to a Global Transportation Network.

21. The method of claim 16 wherein said AIT further comprises a wireless interrogator.

22. The method of claim 16 wherein said AALPS further comprises a means for calculating a load plan.

23. The method of claim 16 wherein said WIM-II further comprises;

a) at least one set of transducer pads, each pad having at least one transducer group with transducers positioned essentially perpendicular to the direction of travel, each transducer group positioned at a pre-defined distance from each other in a direction essentially parallel to the direction of travel;

b) at least one pad microcomputer on each transducer pad, said pad microcomputer using a means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed;

c) at least one host microcomputer in electronic communication with each pad microcomputer, said host microcomputer using a means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance;

d) a network communication system for transferring data between said pad microcomputer and said host microcomputer.

24. The method of claim 23 wherein said means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed further comprises the method of moments.

25. The method of claim 23 wherein said means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance further comprises the least squares method.

26. The method of claim 23 wherein said network communication system is a controller area network.

27. A method of measuring asset characteristics comprising the steps of;

a) passing said asset over at least one transducer pad, said pad having at least one transducer group with transducers positioned essentially perpendicular to the direction of travel, each transducer group positioned at a pre-defined distance from each other in a direction essentially parallel to the direction of travel;

b) measuring asset characteristics using at least one pad microcomputer on each transducer pad, said pad microcomputer using a means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed;

c) calculating asset characteristics using at least one host microcomputer in electronic communication with each pad microcomputer, said host microcomputer using a means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance;

d) communicating said asset characteristics over a network communication system between said pad microcomputer and said host microcomputer.

28. The method of claim 27 wherein said means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed further comprises the method of moments.

29. The method of claim 27 wherein said means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance further comprises the least squares method.

30. The method of claim 27 wherein said network communication system is a controller area network.

31. An asset identification and information infrastructure management device comprising,

a) at least one automated identification technology system,

b) at least one information management system, and

c) at least one weigh-in-motion system,

wherein said automated identification technology system is in electronic communication with said information management system and said information management system is in electronic communication with said weigh-in-motion system.

1. An asset identification and information infrastructure management (AI3M) device comprising,

a) at least one automated identification technology system (AIT),

b) at least one Transportation Coordinators'"'"' Automated Information for Movements System II (TC-AIMS II),

c) at least one weigh-in-motion system (WIM-II), and

d) at least one Automated Air Load Planning system (AALPS), wherein said AIT is in electronic communication with said TC-AIMS II, said TC-AIMS II is in electronic communication with said AALPS, and said WIM-II is in electronic communication with said AIT, said TC-AIMS II and said AALPS.

2. The AI3M device of claim 1 wherein said AIT further comprises,

a) at least one data storage device,

b) at least one hardware device for writing information on said data storage device,

c) at least one data reception device, and

d) at least one communications infrastructure linking said AIT to said TC-AIMS II.

3. The AI3M device of claim 2 wherein said data storage device is selected from at least one of the group consisting of bar code label, optical memory card, smart card, and radio frequency (RFID) tag.

4. The AI3M device of claim 3 wherein said RFID tag is selected from at least one of the group consisting of active tags and passive tags.

5. The AI3M device of claim 1 wherein said TC-AIMS II further comprises an interface to a Global Transportation Network.

6. The AI3M device of claim 1 wherein said AIT further comprises a wireless interrogator.

7. The AI3M device of claim 1 wherein said AALPS further comprises a means for calculating a load plan.

8. The AI3M device of claim 1 wherein said WIM-II further comprises;

a) at least one set of transducer pads, each pad having at least one transducer group with transducers positioned essentially perpendicular to the direction of travel, each transducer group positioned at a pre-defined distance from each other in a direction essentially parallel to the direction of travel;

b) at least one pad microcomputer on each transducer pad, said pad microcomputer using a means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed;

c) at least one host microcomputer in electronic communication with each pad microcomputer, said host microcomputer using a means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance;

d) a network communication system for transferring data between said pad microcomputer and said host microcomputer.

9. The AI3M device of claim 8 wherein said means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed further comprises the method of moments.

10. The AI3M device of claim 8 wherein said means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance further comprises the least squares method.

11. The AI3M device of claim 8 wherein said network communication system is a controller area network.

32. The device of claim 31 wherein said automated identification system further comprises,

a) at least one data storage device,

b) at least one hardware device for writing information on said data storage device,

c) at least one data reception device, and

d) at least one communications infrastructure linking device.

33. The device of claim 32 wherein said data storage device is selected from at least one of the group consisting of bar code label, optical memory card, smart card, and radio frequency (RFID) tag.

34. The device of claim 33 wherein said RFID tag is selected from at least one of the group consisting of active tags and passive tags.

35. The device of claim 31 wherein said automated information technology further comprises a wireless interrogator.

36. The device of claim 31 wherein said weigh-in-motion system further comprises;

a) at least one set of transducer pads, each pad having at least one transducer group with transducers positioned essentially perpendicular to the direction of travel, each transducer group positioned at a pre-defined distance from each other in a direction essentially parallel to the direction of travel;

b) at least one pad microcomputer on each transducer pad, said pad microcomputer using a means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed;

c) at least one host microcomputer in electronic communication with each pad microcomputer, said host microcomputer using a means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance;

d) a network communication system for transferring data between said pad microcomputer and said host microcomputer.

37. The device of claim 36 wherein said means for calculating first output signal indicative of weight, second output signal indicative of time, and third output signal indicative of speed further comprises the method of moments.

38. The device of claim 36 wherein said means for calculating at least one unknown selected from the group consisting of individual tire weight, individual axle weight, axle spacing, speed profile, longitudinal center of balance, and transverse center of balance further comprises the least squares method.

37-1. The device of claim 36 wherein said network communication system is a controller area network.