Machine Readable Code Portion Analysis for Data Throughput
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Solution Overview
Problem
Data processing and analysis systems experience delayed processing speeds when additional data processing is added, leading to slower performance in basic tasks, necessitating improved data flow and throughput strategies.
Innovation Solution
Implementing a machine-readable code with portion analysis, where a complete code is generated and divided into portions, encouraging users to collect and assemble these portions to receive additional information, thereby enhancing data flow and throughput by motivating users to contribute more data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If additional data processing and analysis functions are added to the system, then the system's data processing capability is improved, but the processing speed of basic tasks deteriorates
Solution Approach 1:
The patent segments data processing into multiple processing levels or stages, where different types of data undergo different levels of processing. Basic data processing tasks are handled at a faster, less intensive level, while additional analysis functions operate on separate or prioritized data streams. This segmentation allows the system to maintain high processing speed for basic tasks while still providing advanced processing capabilities when needed, resolving the contradiction between enhanced productivity and maintained speed.
2Quantity of substance
If data is pending and available to process in large quantities, then the system has more data for analysis, but the processing efficiency deteriorates
Solution Approach 1:
The patent implements partial processing where not all available data is processed with the same level of intensity. Instead, the system applies different processing depths to different data sets based on priorities, recency, or other criteria. This allows the system to handle large volumes of data efficiently by processing only the most critical portions in detail while handling other data at a lighter level, thus maintaining processing efficiency despite large data volumes.
3Measurement precision
If the system processes all available data with extensive analysis, then the quality of data analysis is improved, but the time required for processing increases
Solution Approach 1:
The patent applies local quality by providing different levels of processing quality to different data elements or data streams. Critical or high-priority data receives extensive analysis with high measurement precision, while other data receives lighter processing. This selective approach allows the system to maintain high analysis quality for important data without incurring the time penalty of applying the same level of analysis to all data, thus resolving the contradiction between analysis quality and processing time.
Data Source
AI summary
Embodiments are directed to methods and systems to increase flow and throughput of particular data through the use of a machine readable code with portion analysis. The machine readable code may be generated by a transaction processing network and correspond with one or more resource provider computers. When data is received by the transaction processing network that corresponds with one of the resource provider computers, a portion of the machine readable code that is proportional to a size or measurement of the data may be provided in exchange for the data. The recipient of the portion of the code and, once the recipient collects a predetermined number of machine readable code portions to complete the machine readable code, the complete machine readable code may be scanned and transmitted back to the transaction processing network to be exchanged for additional information or to initiate further processing.