UAV Image Transmission Adaptation to Network Fluctuations
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) face challenges in real-time image transmission due to network interference and bandwidth reduction, leading to issues like delay and screen corruption, especially in poor network environments.
Innovation Solution
A data transmission control method that adjusts data encoding quality based on network status by discarding appropriate data frames and using acknowledgement signals to determine network congestion, allowing for rapid adaptation to network changes and improved image quality recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If data transmission continues at high encoding quality during network fluctuation, then image quality is maintained, but network delay and packet loss increase causing screen corruption
Solution Approach 1:
The system dynamically adjusts data encoding quality based on real-time network status feedback. When network fluctuation is detected through acknowledgement signals, the encoding quality is adaptively modified to match current network conditions, resolving the contradiction between maintaining image quality and ensuring transmission stability
Solution Approach 2:
The patent changes the parameter of data encoding quality in response to network status changes. By monitoring network conditions and adjusting encoding parameters accordingly, the system optimizes the balance between image quality and transmission reliability under varying network conditions
2Manufacturing precision
If all data frames are transmitted to maintain image quality, then complete image data is provided, but transmission delay increases in poor network conditions
Solution Approach 1:
The system extracts and transmits only critical data frames that are essential for maintaining acceptable image quality. Non-critical frames are omitted during network degradation, reducing transmission delay while preserving the core image information needed for real-time viewing
Solution Approach 2:
Different data frames are treated with different quality priorities. Critical frames receive full transmission resources to maintain essential image quality, while non-critical frames are selectively discarded or reduced in quality to minimize overall transmission delay
3Productivity
If data encoding quality is continuously adjusted to adapt to network status, then transmission efficiency is improved, but system complexity increases
Solution Approach 1:
The system uses acknowledgement signals as feedback to monitor network status and automatically adjusts data encoding quality in response. This feedback mechanism enables efficient adaptive transmission without requiring complex manual control systems, as the network itself provides the information needed for optimization
Data Source
AI summary
The present invention relates to a data transmission control method, an information sending end and receiving end, and an aerial vehicle image transmission system. The data transmission control method includes: receiving data frames sent by a sending end, the data frames being sequentially sent by the sending end in an order of a data frame sequence; and returning an acknowledgement signal corresponding to a currently-received data frame N to the sending end, to enable the information sending end to determine a current network status according to the acknowledgement signal, and adjusting data encoding quality of the sent data frame based on the current network status. In the method, delays for image quality and transmission speed to recover when a network status recovers can be effectively reduced by rapidly determining a current network status based on the feedback of an acknowledgement signal.