A cloud intelligence digital information network transmission system

By adopting forward error correction technology, data block processing and optimization of particle swarm algorithm in the cloud smart digital information network transmission system, the problems of data loss and transmission errors are solved, efficient and reliable data transmission is achieved, and the overall efficiency of the system is improved.

CN119172038BActive Publication Date: 2025-03-18CHANGZHOU DATA TECH CO LTD
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Patent Information

Application Number
CN202411667032.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-21
Publication Date
2025-03-18
Estimated Expiration
2044-11-21

AI Technical Summary

Technical Problem

During the transmission of cloud smart digital information network, data loss or damage leads to damage to data integrity, which in turn causes system failure or business interruption, and the prior art cannot effectively detect and correct errors during transmission.

Method used

Forward error correction technology and data blocking processing based on confidentiality requirements level are adopted, combined with an optimized particle swarm algorithm to find the best transmission path in the transmission directed graph, and the number of data packets is controlled by dynamically adjusting the window size to ensure the security and efficiency of the data during transmission.

Benefits of technology

Through forward error correction technology and optimized particle swarm algorithm, the security and reliability of data during transmission are enhanced, network congestion is avoided, bandwidth utilization is improved, and transmission delay and maintenance costs are reduced.

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Abstract

The present invention discloses a cloud intelligence digital information network transmission system, which relates to the field of information network transmission. The key points of its technical solution include: collecting original information and transmission path information of an initial data packet, and using forward error correction technology to preliminarily preprocess the initial data packet at the transmission starting endpoint to obtain an actual data packet; extracting the transmission path information of each actual data packet, constructing a transmission directed graph, and using an optimized particle swarm algorithm to obtain the best transmission path of the actual data packet in the transmission directed graph; controlling the number of actual data packets at each transmission starting endpoint and transmission ending endpoint by dynamically adjusting the size of the starting window and the ending window, and the actual data packet is transmitted to nodes in sequence according to the best transmission path until it stops at the transmission ending endpoint; providing a visualization tool to view the transmission process in real time, and performing interface interaction to realize the optimized transmission of the cloud intelligence digital information network.
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