Dynamic Data Transmission Optimization via Parameter Feedback
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Solution Overview
Problem
Existing data transmission connections lack dynamic optimization, failing to adapt to changing environmental conditions such as data transmission speed and network framework, leading to suboptimal performance and user dissatisfaction.
Innovation Solution
A method and device that continuously determine and compare transmission parameters with reference values to adjust settings automatically, ensuring optimal configuration based on current conditions, including speed, quality, and bandwidth, across various network types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If static optimization settings are retained for the entire duration of the connection, then configuration stability is maintained, but adaptability to changing transmission conditions deteriorates
Solution Approach 1:
The patent implements dynamic optimization by continuously monitoring transmission parameters (speed, quality, bandwidth) and automatically adjusting settings in real-time. The system transitions from static configuration retention to dynamic adaptation, where optimization settings are continuously updated based on current network conditions, thereby resolving the contradiction between configuration stability and adaptability.
2Ease of operation
If manual selection and setting of network parameters is required, then user control is maintained, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service automation where the system automatically monitors transmission parameters, compares them with reference values, and adjusts optimization settings without user intervention. The automated system serves itself by continuously adapting to changing conditions, thereby dramatically improving ease of operation while maintaining high automation levels.
3Productivity
If optimization settings are not dynamically adjusted, then system complexity is reduced, but productivity of data transmission deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where transmission parameters are continuously monitored and fed back to the optimization system. The system compares current parameters with reference values and automatically adjusts settings based on this feedback loop. This feedback-driven approach enhances data transmission performance while managing system complexity through automated decision-making algorithms.
4Adaptability or versatility
If static image optimization level is set, then configuration simplicity is maintained, but adaptability to different connection media deteriorates
Solution Approach 1:
The patent dynamically changes optimization parameters (such as image optimization level, TCP/IP settings, compression degree) based on detected transmission conditions. The system automatically adjusts these parameters according to the specific connection media and current network state, thereby achieving high adaptability to different connection media while managing configuration complexity through automated parameter adjustment.
Data Source
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AI summary
A method and a computer setup for optimizing an existing data transmission connection are described. To achieve this, the value of at least one transmission parameter of the existing data transmission connection is determined, particularly continuously. The determined value of at least one transmission parameter is then compared with reference data, which includes transmission parameter reference values linked to configuration data for the data transmission connection. Based on this comparison, settings for the data transmission connection are adjusted using the configuration data linked to the transmission parameter reference values.