A digital asset value reconstruction system and method based on computing power pricing
By using computing power pricing and BSN consortium blockchain for rights confirmation and notarization, a full-scenario circulation mechanism for data assets has been established, solving the problems of ambiguous data asset value assessment and low efficiency of cross-regional collaboration, and realizing the efficient transformation of data resources and secure and reliable value realization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHIFENG VOCATIONAL COLLEGE OF APPLIED TECH
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies have failed to establish a unified and stable data asset pricing model, resulting in vague value assessments, insufficient integration of data and reality, low efficiency in cross-entity and cross-regional data collaboration and resource scheduling, a lack of reliable technical support for data ownership confirmation and transactions, and difficulty in transforming data resources into industrial value and economic benefits.
The system adopts a digital asset value reconstruction system based on computing power pricing, realizes trusted confirmation and evidence storage through the BSN consortium blockchain, conducts compliant settlement in conjunction with the UnionPay regulatory module, builds a full-scenario circulation mechanism, and uses GSD digital asset rights certificates to reconstruct value, establishing a complete technical closed loop of 'physical assets → data assets → digital certificates → value realization'.
It enables standardized pricing of data assets, ensuring value quantification and transparent allocation, improving cross-regional collaboration efficiency and security, supporting the efficient transformation and large-scale implementation of data resources, and is applicable to fields such as smart agriculture and animal husbandry and specialty agriculture.
Smart Images
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