US 12,190,054 B2
Asset management reporting system
Zachary A. Silverstein, Jacksonville, FL (US); and Jacob Ryan Jepperson, St. Paul, MN (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Sep. 16, 2020, as Appl. No. 17/022,472.
Prior Publication US 2022/0083731 A1, Mar. 17, 2022
Int. Cl. G06F 40/20 (2020.01); G06F 16/35 (2019.01); G06N 20/00 (2019.01); G06Q 10/08 (2023.01)
CPC G06F 40/20 (2020.01) [G06F 16/35 (2019.01); G06N 20/00 (2019.01); G06Q 10/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, the method comprising:
monitoring, by one or more computer processors, a communication between two or more users, wherein the two or more users have opted-in to processing of a set of personal and non- personal data by an asset health program;
identifying, by one or more computer processors, a reference to at least one office building asset made by at least one user of the two or more users in the monitored communication, wherein the at least one office building asset is reliant on a first user to report any issue with the at least one office building asset to at least one of an asset management tool, an asset management company, a maintenance person responsible for the at least one office building asset, and an owner of the at least one office building asset;
retrieving, by one or more computer processors, a plurality of baseline information associated with the at least one user of the two or more users;
determining, by one or more computer processors, the at least one office building asset is a local asset available to the at least one user of the two or more users;
dynamically identifying, by one or more computer processors, an issue with the at least one office building asset included in the plurality of baseline information;
determining, by one or more computer processors, location of the at least one office building asset associated with the identified issue by cross-referencing locations of the two or more users with location of office building assets based on a floorplan;
predicting, by one or more computer processors using one or more machine learning models, a time of failure and a cause for the identified issue by correlating user communication with usage for the at least one office building asset; and
transmitting, by one or more computer processors, a service request associated with the at least one office building asset with the dynamically identified issues to the at least one of the asset management tool, the asset management company, the maintenance person responsible for the at least one office building asset, and the owner of the at least one office building asset in order to reduce a down time of the at least one office building asset.