Snapshot Information Processing for Lower Manual Database Effort
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Solution Overview
Problem
Existing information processing systems require significant manual effort to impart human recognition for generating databases, leading to inefficiencies and high man-hours.
Innovation Solution
An information processing system that automates the generation of structured information by associating snapshot information with unit meaning and situation information, determining peculiarity, classifying process information, and imparting human-understandable meaning to structured data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If database is generated based on definition by human recognition, then accuracy of structured information is improved, but enormous number of man-hours are required
Solution Approach 1:
The patent segments the information processing task into multiple automated stages: snapshot information acquisition, process information generation (time-series arrangement), peculiarity determination, state information generation (classification), and structured information generation. This segmentation allows each stage to be handled automatically by the system rather than requiring human recognition for the entire process, thereby reducing man-hours while maintaining accuracy through systematic processing
Solution Approach 2:
The patent replaces the mechanical system of human recognition with an automated information processing system that uses algorithms and computational methods to perform the same functions. The system automatically acquires snapshot information, generates process information, determines peculiarities, classifies states, and generates structured information without human intervention, substituting human cognitive effort with computational processes
2Measurement precision
If snapshot information is processed in large volumes, then accuracy of structured information is improved, but processing complexity increases
Solution Approach 1:
The patent divides the complex processing of large volumes of snapshot information into distinct modular stages: acquisition of snapshot information, generation of process information through time-series arrangement, determination of peculiarities, classification into state information, and generation of structured information. This segmentation reduces processing complexity by making each stage manageable and automatable, while still handling large volumes of data effectively
Solution Approach 2:
The patent implements dynamic processing where the system adapts its processing based on the input data characteristics. The time-series arrangement dynamically organizes snapshot information based on timing relationships, the peculiarity determination dynamically identifies unique characteristics, and the classification dynamically groups information into states. This dynamic approach allows the system to efficiently process large volumes of varying data without requiring overly complex static processing structures
Data Source
AI summary
An information processing system includes a snapshot information acquisition unit configured to acquire snapshot information in which unit meaning information and situation information are associated with each other, the unit meaning information being obtained by dividing information indicating a state of a subject into a meaningful unit, the situation information including at least timing information indicating a timing at which the state indicated by the unit meaning information occurs and identification information for identifying the subject; and a process information generation unit configured to generate process information in which the snapshot information is arranged in a time series for each of the subjects based on the timing information.