Data Model Selection for Factory Site Efficiency
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Solution Overview
Problem
Existing methods for data collection in production facilities do not consider the characteristics of the target site data, leading to suboptimal data model selection and potential performance issues.
Innovation Solution
An information processing apparatus and method that calculates a cost based on site information and selects an optimum data model from multiple models by associating site costs with data models, ensuring efficient data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data models are selected based on comprehensive performance judgment according to access patterns, then the system can determine whether to use data models, but the selected data model may not be optimal because site data characteristics are not considered
Solution Approach 1:
The patent applies local quality by selecting data models based on specific site characteristics and data features rather than using a uniform selection criterion. The system evaluates site-specific parameters and chooses data models that are locally optimized for each site's unique conditions, ensuring that the data model structure and parameters match the local data characteristics and performance requirements
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting data model selection based on site-specific parameters and data characteristics. The system changes the selection criteria from generic access patterns to site-specific parameters including data types, update frequencies, and performance requirements, thereby adapting the data model choice to match the specific operational context
2Productivity
If a single data model is used for all sites, then the system structure is simple, but the data acquisition efficiency is reduced due to lack of optimization for specific site characteristics
Solution Approach 1:
The patent applies preliminary action by pre-establishing multiple data models with different structures and parameters before actual data acquisition. The system prepares a library of candidate data models that are designed in advance for different site scenarios, allowing rapid selection without complex real-time analysis during data acquisition operations
Solution Approach 2:
The patent implements copying by creating multiple data model templates that can be copied and adapted for different sites. Instead of designing unique data models for each site, the system maintains reusable templates that can be selected and instantiated based on site characteristics, reducing the overall system complexity while maintaining site-specific optimization
Data Source
AI summary
The present invention proposes an information processing apparatus and an information processing method which are capable of efficiently acquiring site data by selecting an optimum data model from a plurality of data models according to a factory site. A processor receives site identifying information for identifying a site from an input/output unit, calculates a first cost which is a cost of the site identified by the site identifying information based on site information of the site identified by the site identifying information, selects a specific data model corresponding to a site having a second cost similar to the first cost from among the plurality of data models based on the first cost and related information, and outputs the selected specific data model to the input/output unit.