Idempotent Token Management for Digital Engineering Operations
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Solution Overview
Problem
Current digital engineering tools face challenges in interoperability, require specialized skill sets, lack of seamless sharing and reuse of digital engineering models, and necessitate costly physical testing, leading to inefficiencies and delays in product development and certification.
Innovation Solution
An interconnected digital engineering and certification ecosystem with a centralized computing system that interfaces with various digital engineering tools via APIs, includes digitized regulatory standards, and provides a unified user interface, enabling seamless interoperability, skill-level adaptation, and secure, digital certification without physical testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple digital engineering tools are integrated directly with one another, then interoperability between tools is improved, but the complexity and cost of integration increases significantly (N2 complexity)
Solution Approach 1:
The patent introduces an intermediary layer (platform or service) that mediates between multiple digital engineering tools. This intermediary handles the integration logic centrally, allowing tools to interact through standardized interfaces rather than requiring direct pairwise integrations. This resolves the N2 complexity problem by replacing it with a scalable hub-and-spoke architecture.
Solution Approach 2:
The patent implements a universal interface layer that enables multiple digital engineering tools to communicate through common standards and protocols. This universal interface acts as a multi-functional adapter that can connect different tool types without requiring custom integration logic for each tool combination, thereby reducing integration complexity while maintaining interoperability.
2Measurement precision
If digital engineering tools require specialized skill sets for operation, then tool functionality and precision are improved, but ease of operation and accessibility deteriorate
Solution Approach 1:
The patent introduces an intermediary platform that provides standardized access interfaces and automation capabilities. This intermediary layer shields users from complex tool-specific operations by providing unified, simplified interfaces that handle the complexity behind the scenes, thereby improving ease of operation without sacrificing tool precision through automated workflows.
Solution Approach 2:
The patent implements self-service capabilities through automated workflows, machine learning models, and intelligent agents that can autonomously perform complex digital engineering tasks. This reduces the need for highly specialized manual operation while maintaining precision through automated processes that consistently apply best practices and validated methods.
3Reliability
If physical testing is conducted for certification, then certification accuracy and reliability are improved, but time consumption and cost increase
Solution Approach 1:
The patent creates and utilizes digital twins (virtual copies) of physical systems that can be tested and certified in the digital domain. These digital replicas accurately simulate physical system behavior, allowing certification to be performed on the digital model before physical deployment. This approach maintains certification reliability by using validated simulation models while dramatically reducing the time and cost associated with physical prototyping and testing iterations.
Solution Approach 2:
The patent performs digital certification and validation activities before physical manufacturing and testing. By conducting preliminary virtual testing, verification, and validation in the digital engineering phase, the system identifies and resolves issues before committing to physical production, thereby maintaining high certification reliability while reducing the time and resources needed for physical testing and rework.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for security of a digital engineering ecosystem. In some implementations, a digital platform receives a request to execute an operation on a digital model. The digital platform generates a fungible idempotent token that uniquely identifies the request. The digital platform selects data that identifies one or more tools for executing the operation. The digital platform generates one or more nonfungible idempotent tokens associated with the data that identifies the one or more selected tools. The digital platform executes the operation on the digital model using the tools. While executing the operation, the digital platform determines whether to additionally execute the operation on the digital model based on a subsequent request. In response to determining that the additional execution of the operation has been requested while the operation is being executed, the digital platform prevents the additional execution.