Grid-Based Blockchain Correlation and Referencing
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Solution Overview
Problem
Current blockchain technologies lack efficient methods for correlating and referencing multiple blockchains, leading to data duplication and inefficiencies in data aggregation and analysis across different blockchain systems.
Innovation Solution
A system and method that utilize a grid-based approach to map blockchains to positions referenced by coordinates, allowing for the association of functions that operate on selected blocks across multiple blockchains, reducing data duplication and enabling efficient data aggregation and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain technology is used to track information across multiple fields, then data reliability and traceability are improved, but data duplication and storage inefficiency occur
Solution Approach 1:
The patent creates a copy of blockchain data structure (grid blockchain) that references multiple existing blockchains without duplicating their actual content. The grid blockchain stores coordinate references and function definitions that point to data in source blockchains, enabling efficient data aggregation while avoiding redundant storage of the same information across multiple chains.
2Adaptability or versatility
If multiple blockchains are used to store information from different fields, then data coverage and versatility are improved, but system complexity and correlation difficulty increase
Solution Approach 1:
The grid blockchain serves as an intermediary layer between multiple source blockchains. It contains a grid structure with positions that reference blocks from different blockchains through coordinates, and functions that operate on selected blocks. This intermediary structure simplifies the complexity of directly correlating multiple blockchains by providing a unified reference framework.
Solution Approach 2:
The patent introduces a new dimensional structure (grid with positions and coordinates) that overlays the existing blockchain structures. Instead of trying to correlate blockchains directly in their native linear structure, the system projects them onto a multi-dimensional grid space where relationships can be efficiently managed through coordinate references and position-based organization.
3Productivity
If data is aggregated from multiple blockchains, then analytics capability is improved, but data retrieval and processing time increase
Solution Approach 1:
The system performs preliminary organization of blockchain data by mapping blocks to grid positions in advance. The grid blockchain pre-establishes the structure with positions and coordinates that reference source blockchain blocks, and pre-defines functions at grid positions. This preliminary structuring enables efficient data retrieval and aggregation during analytics operations without requiring time-consuming searches through multiple source blockchains each time data is needed.
Data Source
AI summary
Systems and methods for correlating and referencing blockchains are described herein. An example method may include providing a database configured to store at least one grid. The grid comprises positions referenced by coordinates. The method may include acquiring, by a processor communicatively coupled to the database, a plurality of blockchains. The method may further include mapping, by the processor, the blockchains to the positions within the grid. The method may include acquiring, by the processor, a subset of coordinates ({P}) corresponding to a subset of the positions within the grid and a set of specifications ({S}). The specifications include an instruction for selection of blocks of one or blockchains mapped to on or more position of the subset of the positions. The method may include associating a function F({P}, {S}) with a further position within the grid, wherein the function F ({P}, {S}) operates on contents of the selected blocks.