Method for establishing a risk profile using RFID tags

• US 8,669,861 B1
• Filed: 01/05/2012
• Issued: 03/11/2014
• Est. Priority Date: 01/06/2011
• Status: Active Grant

• Current Assignee: Globaltrak LLC (ORBCOMM Incorporated)
• Original Assignee: Globaltrak LLC (ORBCOMM Incorporated)
• Inventors: Meyers, Richard C.
• Primary Examiner(s): Pham, Toan N
• Application Number:
  US13/343,999
• Time in Patent Office: 796 Days
• Field of Search: 340/539.1, 340/572.1, 340/572.4, 340/572.8, 340/666, 340/673, 340/5.1, 235/384, 235/487, 177/136, 177/45, 702/101, 702/173, 702/174, 702/175
• US Class Current: 340/539.1
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083

Abstract

A system and method for establishing a weight related risk profile using RFID technology is provided. While the cargo container is in transit, a RFID reader inside a cargo container polls the contents of the container by reading RFID data from each RFID tagged item and calculate the payload weight. When the truck transporting the cargo container passes a weigh station, or a high-speed scale embedded in the road, a payload weight is measured by a scale. A risk factor is assessed by comparing the estimated weight by the RFID reader with the measured weight by the scale. According to one aspect of the invention, the RFID based polling system has the ability to map the weight and location for each tagged item and estimate a container weight distribution. The estimated weight distribution is compared with the weight distribution measured by the scale to determine potential anomalies.

Claims

1. A system for a monitoring cargo container which is capable of transport by a vehicle and which is available to be weighed via a scale, the system comprising:

a RFID reader that scans contents of the cargo container for RFID data regarding RFID tagged items in the cargo container;

a processor that is configured to estimate a payload weight of the cargo container according to the RFID data, wherein the processor is further configured to compare the payload weight measured by the scale with the payload weight determined from the RFID data, and for determining a risk factor according to a comparison of the two weights; and

a communication device, wherein the communication device signals an alert when the risk factor is high.

2. The system of claim 1, wherein the scale is a high-speed electronic scale embedded in a road.

3. The system of claim 1, wherein the system further comprises:

a transponder attached to the vehicle for automatic vehicle identification; and

an electronic reader communicatively coupled with the scale, wherein the electronic reader scans the transponder to identify information regarding the vehicle when the vehicle is weighed.

4. The system of claim 3, wherein the processor is configured to receive the vehicle identification, the payload weight measured by the scale, and the payload weight estimated by the RFID data;

further wherein, the processor is further configured to establish a weight related risk profile based on the received information.

5. The system of claim 4, wherein the processor is located in a central station.

6. The system of claim 5, wherein the system is further configured to receive cargo content information collected by the RFID reader.

7. The system of claim 6, wherein the processor integrates the vehicle registration information, the payload weight measured by the scale, the payload weight estimated by the RFID data, and the cargo content information into a risk profile.

8. The system of claim 1, wherein the scale is provided within the vehicle transporting the cargo container.

9. The system of claim 1, wherein the system is configured to detect locations for RFID tagged items in the cargo container, further wherein the system is configured to map the location and weight for RFID tagged items and to estimate a weight distribution for the cargo container.

10. The system of claim 9, wherein the processor is configured to receive payload weight distribution data from a physical measurement of the container, wherein the processor is further configured to compare the measured weight distribution data with the payload weight distribution estimated by the RFID data.

11. A method for monitoring a cargo container which is capable of being transported by a vehicle and which is available to be weighed via a scale, the method comprising:

scanning the contents of the cargo container for RFID data from one or more RFID tagged items;

estimating a payload weight of the cargo container from the RFID data;

measuring a payload weight of the vehicle using a scale;

comparing the payload weight measured by the scale with the payload weight estimated from the RFID data;

determining a risk factor according to the differences between the two weights;

providing an alert when the risk factor is high.

12. The method of claim 11, wherein the scale is a high-speed electronic scale embedded in a road.

13. The method of claim 11, wherein the method further comprises:

determining the identification of the vehicle from a transponder attached to the vehicle.

14. The method of claim 13, further comprising:

receiving the vehicle identification, the vehicle registration information, the payload weight measured by the scale, and the payload weight estimated from the RFID data.

15. The method of claim 14, further comprising:

establishing a weight related risk profile using the vehicle identification, the payload weight measured by the scale, and the payload weight estimated from the RFID data.

16. The method of claim 15, further comprising:

determining cargo content information from RFID data.

17. The method of claim 16, further comprising:

integrating the vehicle registration information, the payload weight measured by the scale, the payload weight estimated from the RFID data, and the cargo contents information into a risk profile.

18. The method of claim 11, further comprising:

attaching a new RFID tag to items in the cargo container to account for weight discrepancies; and

reclassifying the vehicle as a low risk.

19. The method of claim 11, further comprising:

determining a location of RFID tagged items in the cargo container;

mapping the location and weight for each RFID tagged item; and

estimating a weight distribution for the cargo container.

20. The method of claim 19, further comprising:

determining a weight distribution for the cargo container;

comparing the payload weight distribution measured by the scale with the payload weight distribution estimated by the RFID reader; and

determining whether the two weight distributions match with each other.

21. The method of claim 11, further comprising:

determining the weight of a missing item based on a comparison of the payload weight measured by the scale and the payload weight estimated from the RFID data.

22. The method of claim 21, further comprising:

determining the identity of a missing item based on comparing the determined weight of the missing item with additional cargo content information.