Engineering Tool Asset History Extraction From Operation Logs
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Solution Overview
Problem
Existing asset management systems require manual input or limited automation for generating change history information, necessitating user interaction to identify changed portions in file assets.
Innovation Solution
An asset management system that automatically generates summary information of changes by analyzing operation logs from engineering tools, extracting relevant changes, and storing them in a database, along with detailed information for easy retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual input or limited automation is used for generating change history information, then user control and verification are maintained, but user workload and time consumption increase
Solution Approach 1:
The system performs preliminary actions by automatically capturing operation history information from engineering tool logs before the user needs to review changes. The asset management device proactively extracts change content from operation logs and prepares summary information in advance, eliminating the need for users to manually track changes after they occur.
Solution Approach 2:
The system enables self-service by automatically generating change history information without requiring user intervention. The asset management device independently extracts operation history from engineering tool logs, identifies changed portions, and creates summary information automatically, allowing the system to serve itself rather than relying on manual user input.
2Ease of operation
If automatic generation of change history information is implemented, then user workload is reduced, but the ability to readily recognize changed portions deteriorates
Solution Approach 1:
The system extracts only the essential change information from operation logs, separating relevant change content from unnecessary operational details. The asset management device identifies and extracts specific changed portions by analyzing operation history information, pulling out only the critical elements that users need to recognize changes without being overwhelmed by raw log data.
Solution Approach 2:
The system applies local quality by providing detailed change information specifically where needed rather than uniformly processing all operation data. The asset management device focuses extraction on portions of operation logs that contain actual changes to file assets, applying different processing quality to different segments of the operation history based on their relevance to change detection.
3Loss of information
If detailed operation history information is stored, then complete change tracking is achieved, but data storage requirements and processing complexity increase
Solution Approach 1:
The system extracts only the necessary change-related information from comprehensive operation logs, removing redundant operational details. The asset management device selectively extracts change content by analyzing operation history information and identifying only the portions that represent actual file asset changes, thereby maintaining information completeness while reducing data volume.
Solution Approach 2:
The system segments operation history information into distinct change events and non-change operations. The asset management device divides the continuous operation log into discrete change portions, separating actual file asset modifications from other operational activities, which simplifies processing while preserving complete change tracking information.
Data Source
AI summary
An asset management program causes a computer to function as an acquirer that acquires operation history information indicating a history of operations on a file asset in an engineering tool from an operation log file generated in the engineering tool, and an extractor that extracts summary information indicating a summary of content of a change made to the file asset from the operation history information. The asset management program controls the computer such that the extractor causes the summary information to be stored into a database.