IoT Event Log Parsing for Efficient Process Mining
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Solution Overview
Problem
Existing process mining software for IoT devices consumes significant processing resources and obscures useful observations related to user tasks or device operations, necessitating a method to identify operations associated with IoT devices more efficiently.
Innovation Solution
A system and method for parsing event logs to identify activity data from IoT devices, using a model to generate case data, and applying process mining operations to improve resource consumption and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If process mining software collects and configures task data to compare to established processes, then descriptive analytics can be generated, but processing resources are consumed significantly
Solution Approach 1:
The patent segments the monolithic process mining approach into distinct components: event collection, event parsing/ filtering, and selective analysis. By dividing the task data into relevant and irrelevant portions, the system performs only necessary process mining operations on filtered subsets, reducing overall processing resource consumption while preserving useful observations about user tasks and device operations.
2Loss of information
If process mining software analyzes all task data, then comprehensive analytics are obtained, but useful observations about user tasks and device operations are obscured
Solution Approach 1:
The patent extracts and isolates relevant event data from the broader task data stream through parsing and filtering operations. By taking out only the pertinent events related to user tasks and device operations, the system eliminates noise and complexity, making useful observations more visible and analyzable without being obscured by comprehensive but irrelevant data.
3Measurement precision
If event logs are parsed to identify activity data, then operations associated with IoT devices can be identified, but processing time and resources are required
Solution Approach 1:
The patent performs preliminary parsing and filtering of event logs to identify and extract activity data associated with IoT device operations before conducting full process mining analysis. This preliminary action pre-processes the data into a more manageable and relevant format, enabling faster and more accurate operation identification while reducing the time and resources required for subsequent analysis.
Data Source
AI summary
In some implementations, a system may receive 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. Accordingly, the system may parse the event log to identify activity data, from the event data, associated with at least one activity that includes one or more events of the plurality of events. The system may further generate a case associated with the at least one activity and including information generated based on the activity data and may perform a process mining operation on the case including the activity data.