US 11,721,133 B2
Augmented generation of vehicular diagnostics
Edwin J. Bruce, Corinth, TX (US); Gregory D Green, Corinth, TX (US); and Joseph Di Silvestri, Ventura, CA (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Mar. 30, 2021, as Appl. No. 17/216,730.
Prior Publication US 2022/0319239 A1, Oct. 6, 2022
Int. Cl. G07C 5/00 (2006.01); G06N 20/00 (2019.01); G07C 5/08 (2006.01)
CPC G07C 5/006 (2013.01) [G06N 20/00 (2019.01); G07C 5/008 (2013.01); G07C 5/0808 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
generating a digital twin from monitored data received from a plurality of sensors associated with a computing device, wherein the plurality of sensors comprises one or more sensors for monitoring a plurality of observational angles associated with the computing device and one or more sensors for detecting chemical observations that simulate human senses within the plurality of observation angles;
dynamically detecting, using the digital twin, an anomaly within the monitored data based on dynamically filtering the monitored data for a plurality of predicted deteriorations;
in response to dynamically detecting the anomaly, generating a plurality of ameliorative actions, wherein each ameliorative action in the plurality of ameliorative actions is based on a generated notification transmitted to a graphic user interface for user input; and
dynamically implementing at least one ameliorative action of the plurality of ameliorative actions that corrects the detected anomaly within the computing device.