Multi-Port Nested Model Connection Analysis via Instance Relationship Tree
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The analysis of connection relationships in multi-port nested models for application-specific integrated circuit systems is time-consuming and prone to errors, as current methods require layer-by-layer examination of instances, which is cumbersome and difficult to manage.
Innovation Solution
A connection analysis method that involves building an instance relationship tree, acquiring and adding port and connection information, and creating a connection dictionary to facilitate the retrieval of port-to-port connection information, allowing for efficient and accurate analysis within a single tree structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If layer-by-layer analysis of instances is conducted according to instance hierarchy levels, then connection relationships can be analyzed systematically, but analysis time increases significantly and error probability increases
Solution Approach 1:
The patent creates a virtual instance relationship tree that copies and represents the hierarchical structure of instances and their nested relationships. This virtual model allows analysts to work with a simplified representation rather than traversing the actual complex hierarchy layer by layer, significantly reducing analysis time while maintaining accuracy through the faithful replication of connection relationships in the virtual model
Solution Approach 2:
The patent introduces a connection relationship dictionary as an intermediary data structure that pre-processes and stores connection information between instances. This dictionary acts as a mediator between the instance hierarchy and the analysis process, allowing direct lookup of connection relationships without traversing multiple hierarchy levels, thus reducing both time and error probability
2Reliability
If layer-by-layer analysis of instances is conducted according to instance hierarchy levels, then comprehensive connection coverage is achieved, but complexity of the analysis process increases
Solution Approach 1:
The virtual instance relationship tree copies the complete hierarchical structure and nested relationships of instances, preserving all connection information in a simplified format. This allows comprehensive connection coverage to be achieved through the copied structure without dealing with the complexity of the original multi-layer hierarchy, as all relationships are represented in a single accessible model
Solution Approach 2:
The connection relationship dictionary serves as an intermediary that pre-organizes all connection information between instances in a structured format. This mediator handles the complexity of mapping hierarchical relationships to connection pairs, allowing analysts to query connections directly without navigating the complex instance hierarchy, thus reducing process complexity while maintaining completeness
3Measurement precision
If repeated searches are performed to retrieve port-to-port connection information, then accurate connection data can be obtained, but analysis efficiency decreases
Solution Approach 1:
The patent performs preliminary action by pre-processing the instance hierarchy and nested relationships to build the virtual instance relationship tree and connection relationship dictionary before analysis begins. All connection information is pre-organized and stored in these data structures, eliminating the need for repeated searches during analysis. Analysts can directly retrieve accurate connection data from the pre-prepared dictionary, maintaining precision while dramatically improving efficiency
Solution Approach 2:
The connection relationship dictionary creates a copied and simplified representation of all port-to-port connections. Instead of repeatedly searching through the complex instance hierarchy to find connection information, the dictionary provides direct access to pre-extracted connection data, ensuring accuracy through faithful copying of relationship information while improving retrieval efficiency
Data Source
AI summary
A connection analysis method for a multi-port nested model and a medium. The method includes: acquiring instance information and nested relationships of a multi-port nested model, and building an instance relationship tree; reading port information and connection information of instances, and adding the port information and the connection information to the instance relationship tree; acquiring the port information and the connection information of the instances of each node layer by layer according to the instance relationship tree to build a connection dictionary; and acquiring port-to-port connection information of the instances by retrieving the connection dictionary to perform connection analysis on the multi-port nested model.