Interface Buffer for Error-Resistant Data Transfer
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Solution Overview
Problem
Existing data transfer methods between systems are inefficient and error-prone due to the handling of large volumes of data from upstream sources, requiring cumbersome and sporadic data intake for analysis, especially in retail and wholesale operations, where data varies by region and industry.
Innovation Solution
A buffering method and system that codes data records with status flags and position identifiers, allowing efficient data cataloging and retrieval by downstream systems without direct communication between upstream and downstream systems, using an interface buffer to manage data processing and updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is transferred directly between upstream and downstream systems, then data transfer speed is improved, but error resistance and data integrity deteriorate due to sporadic data intake and system compatibility issues
Solution Approach 1:
The patent introduces a buffer system as an intermediary between upstream data sources and downstream analysis systems. The buffer receives, stores, and manages data records with status flags, allowing downstream systems to retrieve complete and accurate data without direct communication with upstream systems. This intermediary layer resolves compatibility issues and ensures data integrity while maintaining efficient access.
2Adaptability or versatility
If data intake is performed in a sporadic fashion to match varying analysis needs, then adaptability to different analysis requirements is improved, but data management complexity and time consumption worsen
Solution Approach 1:
The buffer system performs preliminary actions by pre-processing and organizing incoming data records with status flags and position identifiers before downstream retrieval. Data is catalogued and prepared in advance, allowing downstream systems to quickly access needed information without performing time-consuming data intake operations at the moment of analysis.
Solution Approach 2:
The buffer autonomously manages data organization, status tracking, and retrieval operations without requiring direct intervention from upstream or downstream systems. The system self-regulates data flow, updates status flags, and handles positioning information, reducing the time and complexity of manual data management.
3Device complexity
If direct communication between upstream and downstream systems is maintained, then system simplicity is improved, but compatibility issues and operational inefficiency worsen due to different software systems
Solution Approach 1:
The buffer serves as a universal intermediary that interfaces with both upstream data sources and downstream analysis systems. It handles compatibility transformations and data format conversions, allowing systems with different software to communicate efficiently through a common interface without requiring direct integration between them.
Data Source
AI summary
One embodiment of the invention includes a method of buffering data between an upstream system sending data to a buffer and a downstream system obtaining data from the buffer. This method may include receiving a data record containing a status flag and a position identifier, reading the status flag and the position identifier of the received data record, and searching an existing buffer location associated with the received position identifier. In some instances, when the existing buffer location associated with the received position identifier has an existing record associated with the received position identifier, the condition of a processing flag associated with the existing record and buffering the received data at the buffer location may be reviewed and subsequent updates to a processing flag may be made.