Distributed Ledger Product Lifetime Prediction
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Solution Overview
Problem
Current systems lack the ability to accurately verify the authenticity and condition of resold products, leading to revenue loss and quality issues due to counterfeit products being passed off as originals, and there is no reliable method to determine the remaining lifetime of used products.
Innovation Solution
The implementation of a blockchain-based system that utilizes telemetry data from products to predict their remaining lifetime and authenticate their authenticity, storing this data in a distributed ledger system accessible by certified vendors and end users, ensuring transparency and trust in the resale process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If products are resold through distribution channels, then revenue streams are increased and green technology initiatives are supported, but counterfeit products may be passed off as originals causing revenue loss
Solution Approach 1:
The system performs preliminary authentication of products before they enter the resale market. By scanning and registering products at the point of sale through the distributed ledger, the system pre-verifies authenticity and condition, preventing counterfeits from entering the supply chain and enabling reliable resale operations.
Solution Approach 2:
The distributed ledger system acts as an intermediary between manufacturers and resale marketplaces. It provides a trusted intermediary layer that verifies product authenticity and maintains a verified list of authorized resellers, preventing counterfeit products from being passed off as originals while enabling legitimate resale operations.
2Measurement precision
If telemetry data is collected and stored in distributed ledger, then product lifetime prediction accuracy is improved, but system complexity increases
Solution Approach 1:
The system extracts and stores only the essential telemetry data points needed for lifetime prediction in the distributed ledger, rather than capturing all product data. This selective extraction maintains prediction accuracy while minimizing the complexity and data storage requirements of the blockchain system.
Solution Approach 2:
The system creates a digital copy of product telemetry data and authentication records on the distributed ledger, separate from the physical product. This copying allows the actual product to remain simple while the digital twin stores all necessary prediction data, separating the complexity of data management from the physical device.
3Device complexity
If no authentication system is used, then system complexity is minimized, but counterfeit products cannot be identified causing quality issues
Solution Approach 1:
The authentication system operates autonomously through automated scanning and verification processes. Products self-identify through their unique identifiers, and the distributed ledger automatically verifies their authenticity without requiring manual intervention, maintaining simplicity while ensuring reliable quality verification.
Data Source
AI summary
Systems, methods, and devices are disclosed for authenticating and predicting the remaining lifetime of a resold product. Telemetry data is received from a transceiver within the product, which is then stored within a distributed ledger. The lifetime of the product is determined by analyzing the telemetry data in the distributed ledger according to one or more models. In response to receiving a query about the product, the user is granted read access to the distributed ledger, including read access to the determined lifetime of the product and the authentication of the product (in real or near real time).