Industrial Machine Setting Change Correlation for Alarm Root Cause
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Identifying the specific setting data that causes a predetermined event in an industrial machine is laborious due to the large number of parameters involved, making it difficult to analyze and troubleshoot issues such as alarms and performance degradation.
Innovation Solution
An industrial machine management system that includes a management server, robot system, and user terminal, which allows users to register and track setting data related to alarms, displaying changes made to these settings when an event occurs, assisting in the analysis of what caused the event by providing detailed change information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all setting data parameters are monitored and analyzed, then the completeness of troubleshooting information is improved, but the complexity of the analysis system increases
Solution Approach 1:
The patent extracts and displays only the specific setting data parameters that changed before an alarm event, rather than showing all parameters. This selective extraction reduces information overload and system complexity while maintaining troubleshooting completeness by focusing on relevant changes.
Solution Approach 2:
The patent segments the large set of all setting data parameters into individual change records, each showing specific parameter name, old value, and new value. This segmentation makes the information manageable and analyzable while preserving complete troubleshooting data.
2Measurement precision
If detailed change information of all setting data is displayed, then the accuracy of cause analysis is improved, but the time required for troubleshooting increases
Solution Approach 1:
The patent extracts and displays only the changed setting data parameters relevant to the alarm event, eliminating unnecessary information. This reduces troubleshooting time by presenting only accurate, relevant cause information without requiring analysis of all parameters.
3Reliability
If the system tracks and stores all setting data changes, then the reliability of event analysis is improved, but the data management complexity increases
Solution Approach 1:
The patent extracts and stores only the essential change information (parameter name, old value, new value, timestamp) for each setting data modification. This selective data extraction maintains event analysis reliability by preserving critical information while reducing data management complexity through focused storage requirements.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An industrial machine management system includes a collector, a change determiner, an obtainer, an event determiner, an identifier, and an outputter. The collector collects changeable setting data of an industrial machine. Based on the setting data at each time point of a plurality of time points, the change determiner determines whether a change has been made to the setting data. The obtainer obtains change information regarding the change when the change is determined as being made to the setting data. The event determiner determines whether a predetermined event has occurred in the industrial machine. When the predetermined event is determined as occurring, the identifier identifies the change information such that the change information is related to the predetermined event. The outputter outputs the change information that is identified.