A method for optimizing transmission of super-large text based on dynamic block compression and routing
By using dynamic block compression and routing methods, and leveraging semantic analysis and machine learning techniques to optimize the transmission of ultra-large text files, the problems of low transmission efficiency, resource waste, and network instability in traditional methods are solved, achieving efficient and stable text data transmission.
Patent Information
- Application Number
- CN202511198575.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-26
- Publication Date
- 2026-05-05
- Estimated Expiration
- 2045-08-26
AI Technical Summary
Existing methods for transmitting large amounts of text suffer from problems such as low transmission efficiency, huge bandwidth consumption, difficulty in ensuring data transmission reliability, and storage pressure during transmission when dealing with massive amounts of data. In particular, fixed block and static compression strategies cannot adapt to different data characteristics and dynamic changes in network conditions.
A dynamic block compression and routing method is adopted. Logical segments are divided through semantic analysis, the optimal compression algorithm is dynamically selected, and the transmission path is adjusted in real time according to the network status. Natural language processing and machine learning techniques are used to optimize the block size and routing strategy.
It improves the efficiency of ultra-large text transmission, optimizes text compression performance, ensures the stability and efficiency of data transmission, adapts to the characteristics of different types of text data and changes in network conditions, reduces storage space and bandwidth usage, and avoids routing oscillations.