Industrial Machine Setting Change Tracking With Influence Analysis
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Solution Overview
Problem
Existing industrial machine management systems lack efficient mechanisms to track and manage changes made to setting data, leading to difficulties for users in monitoring and controlling these changes.
Innovation Solution
An industrial machine management system that collects changeable setting data, determines changes over time, and outputs influence information based on pre-change and post-change data, facilitating user awareness and management of changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If setting data is uploaded to cloud server for backup, then data security is improved, but ability to track and analyze changes is worsened
Solution Approach 1:
The system performs preliminary actions by collecting and storing setting data at multiple time points before changes occur. The server saves pre-change setting data and compares it with post-change data to detect modifications. This preliminary data collection enables subsequent change detection and analysis without requiring additional real-time monitoring infrastructure.
Solution Approach 2:
The system implements feedback by continuously monitoring setting data changes and providing notifications to users. The server compares pre-change and post-change data, detects modifications, and feeds back change information to users through notifications. This closed-loop feedback mechanism ensures users are informed of any setting changes while maintaining data security through cloud backup.
2Measurement precision
If all setting data is monitored continuously, then change detection precision is improved, but system complexity is worsened
Solution Approach 1:
The system extracts only the essential elements needed for change detection: setting data at different time points. Instead of monitoring all machine parameters continuously, the server collects and stores setting data specifically, then compares pre-change and post-change data to detect modifications. This extraction approach achieves precise change detection while keeping the system relatively simple.
Solution Approach 2:
The system creates copies of setting data at multiple time points and stores them on the server. Rather than continuously monitoring the original data stream, the server works with copied data snapshots that can be compared and analyzed. This copying mechanism enables precise change detection through comparison while avoiding the complexity of continuous real-time monitoring systems.
3Loss of information
If pre-change and post-change information is collected and compared, then change analysis capability is improved, but data processing time is worsened
Solution Approach 1:
The system performs preliminary data collection by storing setting data at multiple predetermined time points before changes occur. The server saves pre-change setting data in advance, so when a change is detected, the comparison can be performed quickly using pre-prepared data. This preliminary action reduces the time needed for change analysis by avoiding real-time data collection during the comparison process.
Data Source
AI summary
An industrial machine management system includes circuitry that collects changeable setting data of an industrial machine, determines, based on the setting data at each time point of multiple time points, whether a change has been made to the setting data, obtains pre-change information when the change is determined as having been made to the setting data, the pre-change information regarding a pre-change state of the industrial machine as of a first time prior to the change having been made to the setting data, obtains post-change information when the change is determined as having been made to the setting data, the post-change information regarding a post-change state of the industrial machine as of a second time after the change has been made to the setting data, and based on the pre-change information and the post-change information, outputs influence information regarding an influence of the change.