System Change Assistance Vector Redefinition
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Solution Overview
Problem
Existing systems struggle to derive a change procedure for system changes where only setting values differ, as they treat state transitions based on discrete states rather than continuous value variations, leading to inefficient processing and unnecessary operations.
Innovation Solution
A system change assistance system that compares vectors of discrete and continuous value sets to redefine the current state, allowing for correct processing of change requests by reinterpreting states and generating appropriate procedures, such as reloading settings, without requiring unnecessary state transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If state transition is used to derive change procedures based on discrete states, then change procedures can be derived for state changes, but change requests with only setting value differences cannot be processed correctly
Solution Approach 1:
The patent extends the traditional state transition model by incorporating setting values as additional parameters. Instead of treating state changes and setting value changes as entirely different scenarios, the system unifiedly handles both by allowing state elements to include both state information and setting value information. This enables the derivation of change procedures for setting value differences without requiring temporary state transitions, directly resolving the limitation of existing systems.
2Adaptability or versatility
If all setting value variations are treated as separate states, then change procedures for setting values can be derived, but the number of states becomes huge and impractical
Solution Approach 1:
The patent segments the change derivation process into two distinct phases: state transition derivation and setting value change derivation. By separating these concerns, the system can handle setting value changes without creating a separate state for every possible setting combination. The state element structure allows setting values to be tracked independently of state transitions, reducing the state space while maintaining the ability to derive appropriate change procedures.
Solution Approach 2:
The patent adds a new dimension to the state representation by incorporating setting values as a separate attribute dimension rather than enumerating all combinations as discrete states. This dimensional extension allows the system to track setting value changes independently, enabling change procedure derivation for setting differences without exponentially increasing the number of states.
3Reliability
If procedure manuals are created with deep system understanding, then correct change procedures can be described, but enormous time and expertise are required
Solution Approach 1:
The patent enables automatic derivation of change procedures from state element definitions and change requests, eliminating the need for manual creation of procedure manuals by experts. The system self-generates appropriate change procedures by analyzing the difference between current and requested states, automatically determining the necessary operations and their correct sequence. This automation maintains high reliability while dramatically reducing the time and expertise requirements.
4Productivity
If temporary state transitions are used to derive setting value changes, then change procedures can be derived, but unnecessary operations are executed
Solution Approach 1:
The patent directly handles setting value changes by comparing setting values between current and requested states, deriving change procedures without introducing temporary state transitions. This approach eliminates unnecessary operations such as temporary stops or state changes that would be required in traditional state transition-based systems, improving productivity while reducing wasted processing energy.
Data Source
AI summary
A system change assistance system includes value redefinition means 501 configured to compare two vectors, one of which is set to a first comparison subject vector and the other is set to a second comparison subject vector, each configured from a set of a value of a first item having a discrete value in which the number of possible values is finite or less than a predetermined value, and a value of a second item having a continuous value or a discrete value in which the number of possible values is equal to or larger than a predetermined value, and to change the value of the first item of the first comparison subject vector in a case where the value of the first item of each vector is matched and the value of the second item of each vector is different.


