Operation Model Extraction for Target Object Visualization
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Solution Overview
Problem
Existing technologies are insufficient for visualizing the operation of a target object with a smaller amount of information, as they require a substantial amount of data for accurate representation.
Innovation Solution
An information processing apparatus that acquires an operation model related to a target object, calculates an overall operation including identified partial operations using this model, and outputs information indicating the calculated overall operation, allowing visualization from a reduced data set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a substantial amount of data is used to visualize the operation of a target object, then the accuracy of visualization is improved, but the information processing complexity and data requirements increase
Solution Approach 1:
The patent extracts and utilizes only the essential operation patterns from the operation data. The operation model acquisition section identifies and extracts key operation patterns that characterize the target object's behavior, rather than processing all raw operation data. This extraction approach maintains visualization accuracy while significantly reducing the amount of data that needs to be processed and stored.
Solution Approach 2:
The patent creates simplified copies of operation data in the form of operation models. Instead of storing and processing the complete raw operation datasets, the system generates condensed operation models that replicate the essential characteristics and patterns of the original data. These model copies enable accurate visualization with reduced data volumes and processing complexity.
2Loss of information
If operation models are acquired and used to calculate overall operations, then the amount of information required for visualization is reduced, but the complexity of the processing mechanism increases
Solution Approach 1:
The patent segments the information processing function into distinct modular components: an operation model acquisition section that handles model retrieval, an operation calculation section that performs computations, and an output control section that manages result delivery. This segmentation allows each component to specialize in specific tasks, reducing the cognitive and processing complexity while enabling efficient use of operation models to minimize information requirements.
Solution Approach 2:
The operation model serves as an intermediary between the raw operation data and the visualization output. Rather than directly processing large volumes of raw data, the system uses the operation model as a mediating structure that encapsulates essential patterns and relationships. This intermediary approach reduces the information amount needed for visualization while keeping the processing mechanism manageable through structured model-based computation.
Data Source
AI summary
An information processing apparatus including an acquisition section that acquires an operation model indicating an operation pattern related to a target object, a calculation section that calculates an overall operation including an identified partial operation of operations of the target object, with reference to the operation model acquired by the acquisition section, and an output control section that outputs information indicating the overall operation of the target object that has been calculated by the calculation section.