Blockchain Data Marketplace for Electrification Ecosystems
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Solution Overview
Problem
In the electrification ecosystem, the lack of a standardized data framework and integration challenges hinder effective data sharing among multiple stakeholders, such as battery suppliers, OEMs, asset owners, and service partners, which is essential for collaborative workflows and decision-making.
Innovation Solution
The method involves creating or updating shared data schema and data governance rules, submitting them for approval, and applying approved decision logics to enable automated decision optimization across multi-party workflows in the electrification ecosystem.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data are stored in organization silos to maintain data security and control, then data trust and integration are improved, but data sharing and collaboration among partners are hindered
Solution Approach 1:
The patent introduces a blockchain-based data marketplace as an intermediary layer between organizations. This intermediary enables secure data sharing by providing a trusted environment where data can be exchanged without organizations needing to directly trust each other. The blockchain platform acts as a neutral mediator that ensures data integrity, manages access permissions, and facilitates transactions while maintaining organizational data sovereignty.
Solution Approach 2:
The patent segments data access permissions and control mechanisms into modular components that can be independently managed. Different levels of data access rights are created, allowing organizations to share specific data subsets while maintaining control over sensitive information. This segmentation enables fine-grained data sharing where partners can access only the data they need for specific collaborations.
2Ease of manufacture
If pre-defined data schema is used to simplify data collection, then data standardization is improved, but adaptability to evolving business workflows is reduced
Solution Approach 1:
The patent implements a dynamic data schema system that can evolve with changing business requirements. The blockchain platform stores schema definitions that can be updated through consensus mechanisms, allowing the data structure to adapt to new workflows while maintaining historical versioning. This enables the system to transition from static pre-defined schemas to dynamic, evolvable schemas that grow with business needs.
Solution Approach 2:
The patent creates a universal data framework that serves multiple functions: it provides standardized data collection capabilities while simultaneously accommodating custom workflow requirements. The blockchain-based platform offers a common infrastructure that can be configured for different industry standards and business processes, making the system universally applicable across diverse electrification ecosystem participants.
3Measurement precision
If manual data integration processes are used to ensure data quality, then data accuracy is improved, but collaboration efficiency and decision-making speed are reduced
Solution Approach 1:
The patent replaces manual data integration processes with automated blockchain-based mechanisms. Smart contracts automatically validate, verify, and integrate data from multiple sources according to pre-agreed rules stored on the blockchain. This substitution of mechanical manual processes with automated computational processes maintains data accuracy through cryptographic verification while dramatically improving collaboration efficiency and decision-making speed.
Solution Approach 2:
The patent implements automated feedback loops where data quality is continuously monitored and verified through blockchain validation mechanisms. The system provides real-time feedback on data integrity, automatically rejecting or correcting problematic data entries. This continuous feedback mechanism maintains high data accuracy standards while operating at automated speeds, eliminating the need for slow manual verification processes.
Data Source
AI summary
A method for sharing and analyzing information to support execution of multi-party workflows in an electrification ecosystem. The method may include creating or updating shared data schema and data governance rules associated with data to be received from a plurality of parties, wherein the plurality of parties are stakeholders to the multi-party workflows, and the data is associated with a battery system; submitting the shared data schema and the data governance rules for approval to the plurality of parties; creating or updating decision logics associated with the data to be received; submitting the decision logics for approval to the plurality of parties; receiving the data from the plurality of parties; and applying the approved shared data schema, the approved data governance rules, and the approved decision logics to the multi-party workflows and the received data from the plurality of parties to perform automated decision optimization.