Dynamic Data Compression Optimization Device

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Solution Overview

Problem

Current data transmission optimization methods, such as static compression, apply uniform compression factors to all data regardless of original quality, leading to suboptimal results for both high and low-quality data, particularly in mobile environments.

Innovation Solution

A dynamic optimization method that analyzes the quality of transmission data before compression, allowing for individualized optimization by determining a specific degree of compression based on the data's original quality, initiated by the receiving end device, and carried out by an optimization device with access to quality reference values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If uniform compression factor is applied to all transmission data, then device complexity is reduced and ease of operation is improved, but data quality deteriorates for both high-quality and low-quality data

Engineering Contradiction:
Improveease of operationVSAvoiddata quality
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The patent implements dynamic optimization by analyzing the original quality of transmission data and adjusting the compression factor accordingly. The optimization device determines different compression levels based on quality analysis results, transforming the static uniform compression approach into a dynamic adaptive process that responds to actual data characteristics

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent applies local quality by treating different portions of transmission data differently based on their individual quality characteristics. High-quality data receives higher compression factors while low-quality data receives lower or no compression, allowing each data segment to be optimized according to its specific properties rather than applying a global uniform compression factor

Inventive Principle:
Principle #3Local quality

2Productivity

If high compression factor is applied to high-quality data, then transmission time is reduced and storage space is conserved, but data quality deteriorates to unacceptable levels

Engineering Contradiction:
Improvetransmission speedVSAvoiddata quality
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent changes the compression parameter dynamically based on the original quality of the transmission data. The optimization device analyzes quality metrics and adjusts the compression factor parameter accordingly, allowing high-quality data to undergo stronger compression while maintaining acceptable quality thresholds, thus resolving the contradiction between compression efficiency and quality preservation

Inventive Principle:
Principle #35Parameter changes

3Quantity of substance

If high compression factor is applied to low-quality data, then storage space is conserved, but data quality deteriorates significantly

Engineering Contradiction:
Improvestorage spaceVSAvoiddata quality
Core Design Contradiction:
Quantity of substanceVSManufacturing precision

Solution Approach 1:

The patent identifies low-quality data segments through quality analysis and applies a different compression strategy specifically to these segments. By recognizing the local quality characteristics of each data portion, the system applies minimal or no compression to already low-quality data, preventing further quality degradation while still optimizing storage space for high-quality segments

Inventive Principle:
Principle #3Local quality

4Manufacturing precision

If individual quality analysis is performed on each transmission data, then data quality is improved through customized compression, but device complexity increases

Engineering Contradiction:
Improvedata qualityVSAvoiddevice complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent introduces an optimization device as an intermediary component between the data source and transmission channel. This intermediary performs quality analysis and determines appropriate compression factors, centralizing the complexity in a dedicated component rather than distributing it throughout the entire system, thus managing device complexity while enabling individualized optimization

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentEP2506630B1Method for optimising transmission data and optimisation device
Publication Date: 2019.11.06 VODAFONE GMBH
  • EP2506630B1 patent drawingFigure 1
  • EP2506630B1 patent drawingFigure 2

AI summary

The method involves providing an optimizing unit (13) between a data source and a data destination, where the optimizing unit optimizes i.e. compresses, transmission data. The compressed data are transmitted from the optimizing unit to the data destination, where a data-quality analyzing process is performed before compressing the transmission data. Individual optimization level i.e. compression degree, of the transmission data is determined. The transmission data is allowed to be compressed in the optimizing unit based on the determined optimization level. An independent claim is also included for an optimizing device.