Setting Value Conversion for Cross-Version Device Compatibility
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Solution Overview
Problem
Existing technologies face challenges in efficiently converting and managing setting values for the same setting item across different electronic apparatuses, particularly when the values have different meanings or complex structures, leading to inefficient and complicated setting work.
Innovation Solution
An information processing apparatus and method that includes a reception unit, search unit, conversion unit, and classification unit to receive, search, and convert setting values and their ranges, and classify differences between versions, enabling automatic determination of conversion types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If setting values are manually converted and managed for different electronic apparatuses, then compatibility can be achieved, but the setting work becomes inefficient and complicated
Solution Approach 1:
The system performs automatic conversion of setting values between different electronic apparatuses without requiring manual intervention. The conversion unit automatically identifies the source and target apparatus types, retrieves appropriate conversion rules, and executes the conversion process, allowing the system to serve itself rather than requiring operator involvement.
Solution Approach 2:
The invention introduces a conversion unit that acts as an intermediary between setting value management for different apparatus types. This conversion unit mediates the transformation by applying conversion rules stored in storage, enabling seamless translation of setting values between apparatuses with different value structures without direct manual conversion.
2Adaptability or versatility
If conversion rules are stored for all possible apparatus combinations, then complete coverage is achieved, but storage requirements increase
Solution Approach 1:
The conversion rules stored in the storage unit are designed to be universally applicable across multiple apparatus types and combinations. Rather than storing separate rules for each specific apparatus pair, the system uses generalized conversion rules that can handle multiple source and target apparatus types, reducing the total number of rules required while maintaining broad compatibility coverage.
Solution Approach 2:
The system manages conversion rules as parameterized data structures that can adapt to different apparatus combinations through parameter substitution. By storing conversion rules with placeholder parameters rather than hardcoding specific apparatus pairs, the system achieves versatile coverage with compact storage, allowing the same rule template to serve multiple apparatus combinations.
3Ease of operation
If automatic conversion is implemented, then setting work is simplified, but handling complex non-proportional relationships becomes difficult
Solution Approach 1:
The conversion process is segmented into distinct operational phases: identification of source and target apparatus types, retrieval of applicable conversion rules, execution of conversion operations, and validation of results. By dividing the complex conversion task into manageable segments, the system can handle non-proportional relationships through a series of simpler, rule-based transformations rather than requiring complex mathematical modeling.
Solution Approach 2:
The system performs preliminary validation and error checking before finalizing conversions to prevent incorrect handling of complex relationships. By anticipating potential issues with non-proportional conversions and implementing preventive measures in advance, the system maintains ease of operation while safely handling complex value structures that don't follow simple proportional relationships.
Data Source
AI summary
An information processing apparatus includes a reception unit, a search unit, a conversion unit, a classification unit, and an output unit. The reception unit receives an initial value of each setting item for an electronic apparatus, a range of setting values for each setting item, apparatus information indicating whether or not the setting values are compatible with the electronic apparatus, and key data that associates the setting values with a data type. The search unit searches for the data type, definitions of parameters in the data type, and descriptions of the parameters. The conversion unit converts the initial value and the range of the setting values into those in the definitions of the parameters in the data type. The classification unit classifies categories representing a difference between setting item versions. The output unit outputs capability information for automatically determining a conversion type.


