US 12,468,618 B2
Parsing event logs for internet of things devices
Charles W. Roark, Frisco, TX (US); Mounika Ayila, Visakhapatnam (IN); and Prateek Kulkarni, Bangalore (IN)
Assigned to Zebra Technologies Corporation, Lincolnshire, IL (US)
Filed by ZEBRA TECHNOLOGIES CORPORATION, Lincolnshire, IL (US)
Filed on Apr. 28, 2022, as Appl. No. 17/732,005.
Prior Publication US 2023/0350780 A1, Nov. 2, 2023
Int. Cl. G06F 11/34 (2006.01); G16Y 40/10 (2020.01); G16Y 40/20 (2020.01)
CPC G06F 11/3476 (2013.01) [G16Y 40/10 (2020.01); G16Y 40/20 (2020.01)] 21 Claims
OG exemplary drawing
 
1. A method to perform a process mining operation on case data associated with an Internet of Things (IoT) device, comprising:
receiving, by a device, an event log including event data associated with a plurality of events that were performed by one or more external devices including the IoT device, the event data being detected and stored by the one or more external devices including the IoT device and the event log being a text data structure including the event data;
training, by the device, a machine learning model based on historical event log data;
parsing, by the device and utilizing the trained machine learning model, the event log to identify activity data, from the event data, associated with at least one operation that includes one or more events of the plurality of events;
generating, by the device, case data associated with the at least one operation and including the identified activity data;
performing, by the device, a process mining operation on the case data; and
configuring the one or more external devices including the IoT device based on an output of the processing mining operation.