Relay Apparatus Filtering Rule Generation via Classification Items
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Solution Overview
Problem
Existing relay apparatuses require large record areas for storing numerous filtering rules, which can lead to resource constraints, especially when only specific addresses need to be allowed for transmission and reception, necessitating the preparation of many filtering rules.
Innovation Solution
A relay apparatus with an item group record portion, a condition record portion, and a process execution portion that generates filtering rules by extracting valid classification items and associating them with process content, reducing the need to prepare individual filtering rules and allowing for the generation of multiple filtering rules based on combinations of item groups and action conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If many filtering rules are prepared to allow specific addresses for transmission and reception, then the filtering capability is improved, but the record area capacity required increases
Solution Approach 1:
The filtering rule is segmented into multiple classification items (first classification item, second classification item, etc.) that can be independently configured. Each classification item corresponds to a specific address or condition, allowing the system to break down complex filtering requirements into manageable segments stored in the record area.
Solution Approach 2:
The relay apparatus is designed to perform multiple filtering operations using a single unified filtering rule structure. By combining multiple classification items within one filtering rule, the system achieves universal filtering capability across different addresses and conditions without requiring separate rules for each case, thereby reducing the overall record area capacity needed.
2Measurement precision
If many filtering rules are prepared, then the filtering precision for specific addresses is improved, but the device complexity increases
Solution Approach 1:
The filtering rule is divided into distinct classification items, each responsible for a specific address or condition. This segmentation allows the system to maintain high filtering precision by evaluating multiple specific conditions independently, while the structured organization prevents management complexity from escalating.
Solution Approach 2:
Multiple classification items are merged into a single filtering rule structure, allowing the system to achieve high filtering precision through combined conditions without requiring separate rules for each address. This merging reduces the number of individual rules that need to be managed, thereby controlling device complexity.
3Measurement precision
If filtering rules are stored in advance with large capacity, then the filtering accuracy is improved, but the loss of substance (memory resources) increases
Solution Approach 1:
The filtering rule is segmented into multiple classification items that can be selectively applied. This segmentation allows the system to achieve high filtering accuracy by evaluating specific conditions only when relevant, rather than storing and processing all possible filtering scenarios, thereby reducing memory resource consumption.
Solution Approach 2:
A single filtering rule with multiple classification items serves multiple filtering purposes simultaneously. This multi-functionality allows the system to maintain high filtering accuracy across different addresses and conditions without requiring separate stored rules for each case, thus conserving memory resources.
Data Source
AI summary
A relay apparatus relays a frame between communication lines. The relay apparatus includes an item group record portion that records at least one item group that includes classification items for identifying a received frame; a condition record portion that records action conditions each of which includes a setting of whether each of the classification items is set to be valid, and a process content for the frame; a rule generation portion that generates a filtering rule for the received frame by extracting at least one of the classification items set to be valid for each of the action conditions and by associating the extracted classification item with the process content, when receiving the frame; and a process execution portion that executes a process on the received frame in accordance with the filtering rule.