Edge-Blockchain Data Quality Management for Secure Error Correction
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Solution Overview
Problem
Existing data quality management platforms are inadequate for diverse industries, leading to fragmented data storage, increased operational complexity, elevated error rates, and heightened security risks, limiting their ability to meet varied data quality needs.
Innovation Solution
A hybrid system combining edge computing and blockchain technology, where edge servers perform initial data analysis and transmit data to blockchain nodes for smart contracts to execute predefined rules for error correction and quality assessment, generating reports or entries based on threshold values, with iterative updates to rules for improved data quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional centralized data quality platforms are used, then data quality management is limited to specific industries, but system complexity and security risks increase
Solution Approach 1:
The patent implements a universal data quality management platform that serves multiple industries through blockchain technology. The system uses standardized smart contracts that can be applied across different industries (finance, healthcare, manufacturing) while maintaining industry-specific requirements through configurable parameters. This eliminates the need for separate platforms for each industry, reducing overall system complexity while increasing versatility.
Solution Approach 2:
The system segments data quality management into modular components: data collection modules, validation modules, correction modules, and reporting modules. Each module operates independently on the blockchain network, allowing the system to scale by adding only the necessary modules for specific industry needs rather than implementing complete complex platforms for each sector.
2Reliability
If data is stored in fragmented locations, then data quality can be maintained locally, but security risks and operational complexity increase
Solution Approach 1:
The patent combines fragmented data storage into a unified blockchain-based distributed ledger. Data entries from multiple sources are consolidated into a single immutable chain, maintaining data quality through smart contract validation while eliminating security risks associated with fragmented storage. The blockchain network distributes copies of the same data across multiple nodes, providing both centralization benefits for security and decentralization benefits for reliability.
3Manufacturing precision
If manual data quality correction is performed, then data accuracy can be improved, but operational complexity and error rates increase
Solution Approach 1:
The system implements self-service automated correction through smart contracts that automatically detect data quality issues and apply predefined correction rules without human intervention. The smart contracts continuously monitor data entries, identify anomalies based on configurable parameters, and execute corrections automatically. This maintains high data accuracy while dramatically simplifying operations and reducing human error compared to manual correction processes.
4Measurement precision
If edge computing is used for initial data analysis, then data quality issues can be identified earlier, but system complexity increases
Solution Approach 1:
The patent implements preliminary data quality analysis at the edge computing level before data enters the blockchain network. Edge devices perform initial validation, filtering, and preprocessing of data entries, identifying obvious quality issues early in the data lifecycle. This preliminary action reduces the burden on the blockchain network while maintaining high detection precision, as the edge layer handles routine quality checks and only problematic entries require full blockchain validation.
Data Source
AI summary
A method for enhancing security, reliability, and efficiency of data quality management comprising edge computing and blockchain network is disclosed. An edge server off-chain from the blockchain network is located in close proximity to a plurality of data sources with respect to other servers. The edge server performs an initial data analysis on received data entries. The blockchain node uses the plurality of data entries received from the edge server to determine whether the data quality is above or below a predetermined threshold value, and executes the smart contract based on the determined data quality and predefined rules.