Rwa digital copyright transaction system in cultural industry field

By constructing a cultural asset value memory network and monitoring the discrete entropy of trading groups, tracing the transmission path, calculating the repricing step probability, and isolating suspected bubble trading nodes, the problem of identifying and isolating hidden risks in digital copyright transactions has been solved, achieving stable operation and risk control of the trading market.

CN122175661APending Publication Date: 2026-06-09CHANGSHA KEJIMAO CULTURE MEDIA CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGSHA KEJIMAO CULTURE MEDIA CO LTD
Filing Date
2026-01-20
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies cannot effectively identify and isolate the risks of implicit cultural value transmission in digital copyright transactions, resulting in the inability to provide timely warnings and isolation when bubbles form, leading to flash crashes in market prices and liquidity depletion.

Method used

Construct a cultural asset value memory network, monitor the discrete entropy of trading groups, trace the transmission path, calculate the repricing step probability, and isolate suspected bubble trading nodes when the risk threshold is reached to block the spread of risk.

Benefits of technology

By gaining a deep understanding of the implicit value transfer patterns among cultural assets, identifying abnormal patterns in trading groups, providing timely warnings of potential risks, dynamically assessing price fluctuations, preventing the expansion of bubbles, and ensuring the stability of the trading market.

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Abstract

This invention relates to the field of digital asset analysis technology, and more particularly to the RWA digital copyright trading system in the cultural industry. It includes constructing a cultural asset value memory network and extracting implicit cultural value transmission relationships to provide a comprehensive and accurate data foundation and value correlation basis for subsequent transaction analysis and risk assessment; calculating the discrete entropy of trading groups to promptly identify abnormal group structures, enabling early detection of potential transaction risks and abnormal market fluctuations; tracing the transmission path and calculating the attenuation coefficient when a sudden change in discrete entropy is detected to pinpoint the source and intensity of risk propagation, providing crucial clues for risk prevention and control; calculating the repricing step probability by combining transmission intensity and price fluctuations to quantitatively assess the likelihood of significant price changes in target assets; and locking suspected bubble trading nodes and isolating the links when the repricing step probability exceeds a risk threshold, effectively blocking risk spread and ensuring the stability and security of the trading system.
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