Data File Revision History from Structural Difference Analysis
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Solution Overview
Problem
Construction projects face challenges in managing multiple copies of data files, leading to the risk of accessing outdated versions, which can cause scheduling delays and costly mistakes due to unreliable data dissemination among teams.
Innovation Solution
A computing platform automatically determines a revision history for multiple data files by analyzing their structures, identifying differences, and presenting the most up-to-date copy through a SaaS application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review and comparison of multiple data file copies is performed by users, then the most up-to-date copy can be identified, but the process becomes cumbersome, labor intensive, and time-consuming
Solution Approach 1:
The patent replaces the manual mechanical process of reviewing and comparing data files with an automated computer-based system. The computing platform automatically retrieves multiple copies of data files, extracts information from each copy, compares the extracted information, and identifies the most up-to-date copy without human intervention, thereby eliminating the time-consuming manual effort while maintaining accuracy
Solution Approach 2:
The system enables self-service by automatically performing the entire process of retrieving, comparing, and identifying data file versions. The computing platform independently executes the comparison task using automated information extraction and analysis, freeing users from manual intervention while ensuring reliable identification of the most current version
2Reliability
If manual review of multiple data file copies is performed, then revision history can be determined, but user error may occur leading to identification of incorrect copy as most up-to-date
Solution Approach 1:
The patent replaces manual cognitive processes with automated computational processes. The computing platform systematically extracts information from each data file copy using automated methods, compares the extracted data through algorithmic analysis, and determines revision history objectively, thereby eliminating user error while maintaining operational simplicity through automated execution
3Quantity of substance
If the number of data files associated with a construction project increases, then more comprehensive project information is available, but the user-driven approach for determining revision history becomes increasingly cumbersome and labor intensive
Solution Approach 1:
The patent replaces manual processing with automated computational processing that scales efficiently. The computing platform can retrieve and compare any number of data file copies simultaneously using automated information extraction and comparison algorithms, allowing the system to handle increasing quantities of data files without degradation in productivity, as the automated process does not suffer from the diminishing returns that plague manual approaches
Solution Approach 2:
The system provides a universal automated solution that can handle any number of data files and any type of construction project. The computing platform executes the same automated retrieval, extraction, and comparison processes regardless of the volume of data files, making the productivity efficient scalable to accommodate growing project requirements without additional manual effort
Data Source
AI summary
A computing platform is configured to: (i) obtain a plurality of data files; (ii) for each respective data file of the plurality of obtained data files, obtain contents associated with the respective data file and evaluate the contents associated with the respective data file to determine a respective data structure for the respective data file; (iii) compare the determined respective data structures and thereby identify one or more data structure differences among the determined respective data structures for the data files; (iv) based on the identified one or more data structure differences among the determined respective data structures for the data files, determine a revision history for the plurality of data files; and (v) transmit, to a client station, a communication related to the revision history and thereby cause an indication of the revision history to be presented at a user interface of the client station.