Model-based land sale management system

By using a semantic version-chain storage model and a data intelligent inference algorithm, the problems of data traceability difficulties, data inconsistency, and decision-making reliance on subjective experience in the land transfer management system have been solved. This has enabled data traceability, tamper-proofing, and real-time consistency, thereby improving the scientific nature and efficiency of the transfer scheme.

CN122199201APending Publication Date: 2026-06-12SHANGHAI WANDA INFORMATION SYST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI WANDA INFORMATION SYST CO LTD
Filing Date
2026-03-12
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

The existing land transfer management system has problems such as difficulty in tracing data changes, inability to reliably reproduce historical status, tight coupling between business logic and data status leading to data inconsistency, and reliance on subjective experience in formulating transfer plans without scientific decision support.

⚗Method used

It adopts a semantic version-chain storage model to achieve data traceability, tamper-proofing, and highly reliable historical query. It ensures data consistency among multiple subsystems through an event-driven mechanism and provides scientific decision support by using data intelligent inference algorithms.

🎯Benefits of technology

It has achieved traceability and tamper-proofness of land transfer business data throughout the entire lifecycle, ensured real-time automatic linkage of data between multiple subsystems and real-time synchronization of business changes, improved the scientific nature and market adaptability of transfer plan formulation, and reduced the risk of auction failure.

✦ Generated by Eureka AI based on patent content.

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Abstract

The technical scheme of the present application discloses a land transfer management system based on a model, characterized in that all business entities exist in the form of an aggregate root in a unified semantic version-chain storage model, and the creation, change and termination of any data are stored and managed in the form of a semantic version as a clue and a chain event as a unit. The present application integrates business semantics into version management, and each change clearly records the operation type, reason and influence range. This technical feature enables the data not only to have a version number, but also to have a business meaning that can be understood by a machine, which directly brings the technical effect that the system can better adapt to changes in policy rules and business processes, and provides a solid and semantic data foundation for subsequent function expansion and complex business analysis (such as impact assessment and trend prediction), which cannot be achieved by traditional static data models.
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