Blockchain-based natural resource information system distributed storage virtual node construction method

By constructing virtual nodes for the natural resource information system and utilizing blockchain technology for data collection, matching, and storage, the issues of data security and resource management are resolved, achieving secure data isolation and efficient management.

CN120223713BActive Publication Date: 2026-04-28NINGXIA HUI AUTONOMOUS REGION NATURAL RESOURCES INFORMATION CENT (AUTONOMOUS REGION NATURAL RESOURCES ARCHIVES)
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Patent Information

Application Number
CN202510352651.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2024-06-18
Filing Date
2025-03-24
Publication Date
2026-04-28
Estimated Expiration
2045-03-24

AI Technical Summary

Technical Problem

How can we use blockchain technology to build virtual resource nodes for extracting key resources, achieve secure data storage and management, ensure data integrity and reliability, and optimize resource allocation and utilization?

Method used

By constructing a natural area plan map, collecting comprehensive resource data, setting up a capture and extraction terminal for data collection, constructing virtual resource nodes, extracting key resources and performing state transitions, generating key node signals, performing symbol conversion and matrix combination, achieving matching storage and multilateral matching, and forming matching node resources.

Benefits of technology

It achieves effective data isolation, prevents unauthorized access or tampering, ensures data security and privacy, and can recover data in the event of node failure, thereby improving data integrity and reliability and optimizing resource management and utilization efficiency.

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Abstract

The application discloses a natural resource information system distributed storage virtual node construction method based on a blockchain, relates to the technical field of the blockchain, constructs a virtual resource node to extract a key resource, obtains a node keyword, extracts features of the node keyword, and obtains a key node coefficient; performs symbol conversion and in-segment grouping on the obtained key node coefficient to obtain a key node code group, performs dynamic combination and exchange variation on the key node code group to obtain a front-end node matrix, statistically combines the front-end node matrix to obtain a node matrix set; transforms comprehensive resource data to obtain a resource code group set, matches and extracts the resource code group set according to the node matrix set to obtain an extraction state code, and performs matching storage and multi-edge matching through the extraction state code to obtain matched node resources and multi-state matching node resources; the utilization rate of the natural resources is improved, hardware resources are better managed and distributed, management is simplified, and costs are reduced.
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