Bridge Protocol for Geospatial Token Updates During Calamities
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack an efficient method to assign geospatial data to tokenized resources, particularly in the context of calamities, leading to cumbersome and inefficient manual processing of multiple claims and updates in indemnity policies.
Innovation Solution
A system and method utilizing a bridge protocol to integrate a geo-spatial analyzer with a distributed ledger, enabling automated validation and modification of resource information in tokens, including the use of machine learning models for proactive event detection and consensus mechanisms for secure data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processing methods are used for updating tokenized resource information, then system complexity is reduced, but productivity and responsiveness to calamity events deteriorate
Solution Approach 1:
The patent introduces a bridge protocol as an intermediary layer between the distributed ledger and external geo-spatial analysis systems. This bridge handles the complex tasks of data validation, consensus verification, and secure communication, allowing the core ledger system to remain relatively simple while achieving automated, high-speed updates of tokenized resource information during calamity events.
2Productivity
If automated validation and modification systems are implemented, then productivity improves, but device complexity increases
Solution Approach 1:
The system segments the automated validation process into distinct modular components: geo-spatial analyzers that detect events, bridges that transmit and validate data, consensus mechanisms that verify authenticity, and token generators that create updated resources. Each component performs a specific function independently, reducing overall system complexity while maintaining high automation capability for processing calamity-related claims.
3Measurement precision
If geospatial data integration is implemented for tokenized resources, then measurement precision of resource location improves, but device complexity increases
Solution Approach 1:
The bridge protocol serves multiple functions simultaneously: it integrates geo-spatial data from various analyzers, validates resource information, manages consensus verification, and updates tokenized resources. This multi-functional design consolidates what would otherwise require separate complex systems into a single unified interface, achieving precise geospatial tracking while managing integration complexity through versatility.
Data Source
AI summary
Embodiments of the invention are directed to systems, computer program products, and methods for assigning geospatial data to tokenized resources via a bridge protocol. The present invention is structured to electronically receive, over a distributed network, a request for a token for a resource. Thereafter, a token generator is initiated and the token is generated, wherein the token comprises resource information and the token is published on a marketplace. Resource information is transmitted to or from the token via a bridge, the resource information comprising geo-spatial data from a geo-spatial analyzer. Thereafter, a consensus is obtained, and the token is recorded on a distributed network.