Automated Screen Component Name Registration
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Solution Overview
Problem
Existing techniques face difficulties in easily acquiring a correspondence between a component's name and specifying information on a system screen, particularly when the screen is formatted like an Excel form, making it hard to automate the registration of this correspondence.
Innovation Solution
An information acquisition apparatus that acquires tree information from the system screen, classifies nodes into operable and label components, determines the likelihood of label components indicating operable component names based on distance, and registers the corresponding information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual association and registration of component names and specifying information is performed, then accuracy of correspondence acquisition is improved, but work efficiency and time consumption deteriorate
Solution Approach 1:
The system automatically acquires correspondence between component names and specifying information by analyzing screen images and hierarchical structures, eliminating the need for manual association and registration operations while maintaining accuracy
Solution Approach 2:
Manual mechanical operations of associating and registering component information are replaced by automated image processing and data analysis mechanisms that extract correspondence relationships from screen images
2Ease of operation
If system screen is formatted like Excel form to enable automated processing, then ease of automated processing is improved, but adaptability to different system screens deteriorates
Solution Approach 1:
The system employs universal processing mechanisms that can handle various system screen formats including Excel-like forms, making the automated processing approach adaptable to different screen layouts without requiring format-specific customization
Solution Approach 2:
The system adjusts processing parameters and analysis methods based on the detected screen format and structure, enabling flexible adaptation to different system screen configurations while maintaining automated processing capabilities
3Measurement precision
If manual registration of correspondence is performed, then accuracy of information acquisition is improved, but time consumption and labor requirements deteriorate
Solution Approach 1:
The system performs preliminary automated analysis of screen images and hierarchical structures to acquire correspondence information before any manual verification is needed, significantly reducing the overall time required for information acquisition
Solution Approach 2:
The system automatically performs the time-consuming task of acquiring and registering correspondence between component names and specifying information, eliminating manual labor while maintaining accuracy through automated image processing and data matching
Data Source
AI summary
An information acquisition apparatus (100) includes an acquisition unit (121), a classification unit (122), a determination unit (123), and a registration unit (124). The acquisition unit (121) acquires tree information representing information of a system screen by a plurality of nodes having a tree structure. The classification unit (122) classifies the plurality of nodes having a tree structure into an operable component and a label component based on the tree information. The determination unit (123) determines whether the label component indicates a name of the operable component based on a distance between the operable component and the label component. The registration unit (124) registers a correspondence between a text corresponding to the label component and specifying information for specifying the operable component in a case where the determination unit (123) determines that the label component indicates a name of the operable component.