BlockNet Spatial Data Storage Mapping for Security and Efficiency
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Solution Overview
Problem
Current technologies face challenges in effectively organizing and securely storing large amounts of three-dimensional geographic data, including latitude, longitude, and height, while ensuring data accuracy and security during the mapping from real to virtual spaces, especially in decentralized data storage scenarios.
Innovation Solution
A spatial data-oriented BlockNet security organization storage mapping method is developed, utilizing a BlockNet gene propagation mechanism, multi-source gene propagation, and three-dimensional logical distance calculation to ensure data security and accuracy, incorporating features like one-way propagation, in-out-degree control, and spherical multi-source translation projection to handle complex data mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional blockchain technology is applied to spatial data storage, then data security is improved, but data organization efficiency and retrieval speed deteriorate due to linear storage structure
Solution Approach 1:
The patent divides spatial data into multi-level hierarchical structures (global blocks, regional blocks, local blocks) based on geographic scope and granularity. Each level is independently organized and managed, allowing efficient retrieval at different scales while maintaining security through distributed hashing across segments.
Solution Approach 2:
The patent transitions from conventional linear blockchain storage to a multi-dimensional spatial indexing structure using longitude, latitude, and elevation coordinates. Data blocks are organized in three-dimensional space with hierarchical levels, enabling efficient spatial queries and retrieval while maintaining security through cryptographic hashing at each dimension.
2Adaptability or versatility
If multi-dimensional spatial data is mapped to virtual space, then virtual reality application capability is improved, but data accuracy and security during mapping deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where spatial data is hashed into BlockNet structures that maintain cryptographic verification capabilities. Each mapping operation is recorded and verified through hash chains, providing feedback loops that ensure data accuracy can be validated and audited even as data is transformed for virtual reality applications.
Solution Approach 2:
The patent introduces BlockNet as an intermediary layer between real-world spatial data and virtual space representations. This intermediary maintains cryptographic hashes and verification structures that ensure data accuracy and security during the mapping process, acting as a trusted mediator that preserves integrity while enabling VR applications.
3Reliability
If decentralized data storage is implemented, then data security and resistance to oligopoly are improved, but data consistency and coordination across multiple centers deteriorate
Solution Approach 1:
The patent establishes predetermined hash relationships and spatial indexing structures before data is distributed across multiple centers. BlockNet structures are pre-configured with hierarchical block relationships and spatial coordinates, enabling automatic consistency verification and coordination when data is stored or retrieved from any decentralized location.
Solution Approach 2:
The patent replaces traditional centralized coordination mechanisms with cryptographic hash-based verification systems. Instead of relying on centralized control for data consistency, the system uses immutable hash chains and spatial indexing that automatically verify data integrity across decentralized centers through mathematical proofs rather than mechanical coordination.
4Productivity
If three-dimensional spatial data is organized with multi-level division, then data retrieval efficiency is improved, but system complexity and implementation difficulty worsen
Solution Approach 1:
The patent creates a universal BlockNet data structure that serves multiple functions simultaneously: spatial indexing, hierarchical organization, cryptographic verification, and efficient retrieval. The same multi-level block structure handles both data organization and security verification, reducing overall system complexity despite the advanced capabilities provided.
Data Source
AI summary
A BlockNet security organization storage mapping method for spatial data includes: first constructing a BlockNet gene propagation mechanism according to the characteristics of the BlockNet storage space data, and then designing multi-source gene propagation in a multi-space data center scenario mechanism. In the multi-source gene propagation mechanism, the propagation round control and the in/out-degree control mechanism are designed for the possible radiation crossover problems and radiation impact problems. A BlockNet information update plan is designed for data modification and update requirements in spatial data storage scenarios. In addition to realizing the unique primary key block coding of spatial data and accelerating the indexing speed, it also retains elevation information through multi-dimensional coding, expands the amount of information, improves the utilization efficiency of spatial data, and the security of data mapping and storage process is greatly improved.