US 11,868,948 B2
Transportation system
Stan Kevin Daley, Atlanta, GA (US); Craig M. Trim, Ventura, CA (US); Michael Bender, Rye Brook, NY (US); and Martin G. Keen, Cary, NC (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Jun. 25, 2019, as Appl. No. 16/451,154.
Prior Publication US 2020/0410436 A1, Dec. 31, 2020
Int. Cl. G06Q 10/0832 (2023.01); G07C 5/08 (2006.01); H04L 9/06 (2006.01); A01M 31/00 (2006.01); G06Q 50/30 (2012.01); G06Q 50/28 (2012.01); H04L 9/00 (2022.01)
CPC G06Q 10/0832 (2013.01) [A01M 31/002 (2013.01); G07C 5/085 (2013.01); H04L 9/0643 (2013.01); G06Q 50/28 (2013.01); G06Q 50/30 (2013.01); H04L 9/50 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
identifying, by one or more processors of a computer system, a presence of a pest infestation problem with one or more items in transport using cognitive analytics to notice patterns and draw conclusions based on detected patterns and using information received from at least one sensing device to determine that one or more conditions are met which indicate a particular pest infestation is likely to be present, wherein the identifying the presence of the pest infestation problem with one or more items in transport using cognitive analytics and information received from the at least one sensing device further comprises:
identifying, by the one or more processors of the computer system, one or more points in a supply chain for transporting the one or more items that need to be tracked;
identifying, by the one or more processors of the computer system, a container used to transport the one or more items; and
scanning, by at least one sensing device, the container at the one or more points in the supply chain to detect whether a pest infestation is found within the containers;
in response to the identifying, storing, by the one or more processors of the computer system, an identification of the presence of the pest infestation problem in a block chain ledger by a secure and validated feed having an indexed encryption identifying the sensing device; and
recommending, by the one or more processors of the computer system, a remediation action to fix the pest infestation problem with the one or more items.