Cloud EDA Tool with Activity-Based Design Suggestions
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Solution Overview
Problem
Electronic design automation tools often require high engineering acumen, limiting their adoption and utilization due to complexity, especially when designing multi-discipline devices that incorporate analog, digital, and electro-mechanical components, as users may lack expertise in specific areas.
Innovation Solution
A collaborative and interactive electronic design automation system that utilizes web-based or cloud-based tools, monitoring user activity and providing design suggestions based on crowd-sourced information, allowing users to interact and collaborate through forums and user groups, thereby reducing the complexity barrier.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If electronic design automation tools provide thorough and powerful multi-discipline functionality, then design capability and precision are improved, but engineering knowledge requirements and operational difficulty increase
Solution Approach 1:
The system monitors user activity and provides real-time design suggestions based on crowd-sourced information from other users. This feedback loop helps users make better design decisions without requiring deep expertise in all disciplines, thus maintaining high design precision while reducing operational difficulty
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between users and complex multi-discipline design functions. This intermediary automatically performs knowledge-intensive tasks such as component selection, parameter optimization, and design validation, allowing users to access powerful design capabilities without needing expert-level engineering knowledge
2Reliability
If electronic design automation tools require high engineering acumen, then design quality is improved, but tool adoption and utilization decrease
Solution Approach 1:
The system enables users to access expert-level design capabilities through automated assistance that performs knowledge-intensive tasks independently. Users can leverage crowd-sourced design patterns and recommendations to achieve high design quality without personally possessing expert-level engineering acumen, thereby increasing tool adoption across diverse user skill levels
Solution Approach 2:
The system pre-processes and analyzes crowd-sourced design data to generate ready-to-use design suggestions and best practices. This preliminary action prepares expert-level knowledge in advance, allowing users to immediately access high-quality design guidance without needing to develop expertise over time, thus improving both design quality and tool adoption
Data Source
AI summary
This application discloses web or cloud-based electronic design automation tools, which can incorporate functionality to enable collaborative and/or social interaction among multiple different users of the electronic design automation tools. The electronic design automation tools can monitor activity of a user on a design tool, compare the activity of the user on the design tool to previous design activities of one or more different users of the design tool, and prompt presentation of a design suggestion to the user based, at least in part, on a commonality between the activity of the user and previous design activities of the one or more different users.