Data Processing System for Blockchain Reliability
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Solution Overview
Problem
Traditional centralized computing platforms face cumbersome data migration and unreliable data processing when performing trusted computing across multiple data sources with different storage technologies, lacking efficiency and reliability.
Innovation Solution
A data processing method and apparatus that receives query parameters, obtains query result data from various data sources, converts it into target reliable data conforming to a predetermined data reliability protocol, and sends it to a blockchain node for multi-dimensional computing, utilizing a decentralized node as a footstone to simplify blockchain processing and ensure data reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data from multiple data sources is migrated into a centralized platform system, then data processing can be performed, but the data migration process becomes cumbersome and data reliability cannot be guaranteed
Solution Approach 1:
The system segments data from multiple different data sources (blockchain, traditional database, cloud storage) and keeps them in their original locations rather than migrating to a centralized platform. Each data source maintains its own storage structure and characteristics, eliminating cumbersome migration processes while preserving data reliability through localized processing.
Solution Approach 2:
The patent introduces an intermediary data processing system that acts as a mediator between multiple data sources and the processing platform. This intermediary layer handles data conversion, validation, and protocol adaptation, enabling reliable data processing across different sources without requiring direct migration to a centralized system.
2Adaptability or versatility
If data from multiple data sources with different storage technologies is processed, then multi-dimensional computing is enabled, but the complexity of data integration increases
Solution Approach 1:
The patent creates a universal data processing framework that can handle multiple types of data sources (blockchain, traditional databases, cloud storage) through a common interface and protocol. This universal approach enables multi-dimensional computing across diverse sources without requiring separate integration processes for each data type, thereby reducing overall integration complexity.
Solution Approach 2:
The system transforms data from different storage technologies by changing key parameters such as data format, protocol structure, and validation rules to a standardized form. This parameter transformation enables seamless integration of diverse data sources while maintaining their original storage characteristics, reducing integration complexity through systematic parameter adaptation.
Data Source
AI summary
Methods, systems, and devices, including computer programs encoded on computer storage media, for data processing are provided. One of the methods includes: receiving a query parameter; obtaining query result data from each of one or more predetermined data sources according to the query parameter; converting the query result data into target reliable data conforming to a predetermined data reliability protocol; and sending the target reliable data to a blockchain node.