Vehicle Design System Confidential Data Integration

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Solution Overview

Problem

Current vehicle design systems are inefficient due to disparate functional areas, inability to integrate confidential innovative vehicle features, and lack of mechanisms to quantify customer value, leading to long development cycles and high costs.

Innovation Solution

A computer-implemented method and system that securely accesses and processes confidential documents to extract parallel data on innovative vehicle features, maps customer attributes to optimize vehicle design, and generates a feature production list that balances customer value, cost, and production constraints.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If confidential documents containing innovative vehicle technology are secured with access mechanisms, then security and confidentiality are improved, but data accessibility and integration into design systems deteriorate

Engineering Contradiction:
ImprovesecurityVSAvoiddata accessibility
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent introduces an intermediary processing system that acts as a mediator between confidential documents and the vehicle design system. This intermediary extracts data from secured documents, processes it through controlled interfaces, and makes it available to authorized design processes without compromising the original security mechanisms. The intermediary layer enables information flow while maintaining security boundaries.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If traditional vehicle design systems are used with siloed confidential technology, then security is maintained, but development time and costs increase

Engineering Contradiction:
ImprovesecurityVSAvoiddevelopment time
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent merges previously siloed confidential technology data with the main vehicle design system through a unified data extraction and processing framework. By combining access to confidential documents with the vehicle design process in a controlled manner, the system eliminates information silos while maintaining security, thereby reducing development time and enabling better integration of innovative features.

Inventive Principle:
Principle #5Merging (Combining)

3Adaptability or versatility

If confidential innovative features are integrated into vehicle design, then customer value and technology optimization are improved, but system complexity and access control requirements increase

Engineering Contradiction:
Improvecustomer valueVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the complex access control system into distinct functional modules: document access mechanisms, data extraction processes, processing logic, and output generation. This segmentation allows each component to be independently managed and secured, reducing overall system complexity while enabling comprehensive integration of confidential innovative features with customer value optimization.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20220366094A1Systems and methods of vehicle design with controlled processing of confidential information
Publication Date: 2022.11.17 HONDA MOTOR CO LTD
  • US20220366094A1 patent drawing
  • US20220366094A1 patent drawing
  • US20220366094A1 patent drawing

AI summary

A method for vehicle design includes accessing a plurality of confidential documents secured by at least one access mechanism. The method also includes extracting a set of parallel data including at least one of: a vehicle feature implementing the innovative vehicle technology, a vehicle feature cost, and a vehicle feature production time, and storing each set of parallel data in a parallel data store. The method includes mapping a customer vehicle attribute to the vehicle feature in each set of parallel data by applying a customer core values model. Further, the method includes identifying potential vehicle features from the parallel data store that satisfy one or more production constraints and optimizes customer value according to the customer vehicle attributes. The method also includes generating a vehicle feature production list for the new vehicle model based on the potential vehicle features.