A method and system for large-scale vector data deconstruction and adaptive transmission
Through the deconstruction and adaptive transmission methods of vector data, the problem of low efficiency of large-scale vector data transmission is solved, and more efficient data transmission and real-time performance of online applications is achieved.
CN114048276BActive Publication Date: 2025-03-21INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Patent Information
- Application Number
- CN202111322961.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-09
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2041-11-09
AI Technical Summary
Technical Problem
Due to bandwidth limitations in network transmission, large-scale vector data is transmitted too long, affecting the real-time and user experience of online applications.
Method used
Adaptive transmission of vector data is achieved by deconstructing and storing vector data according to vector elements and grids. The server deconstructs the vector data spatially and attributes, and the client requests and reconstructs the data according to the required spatial range.
Benefits of technology
It effectively reduces the amount and time of transmission, improves the transmission efficiency of vector data, and meets the needs of time-sensitive applications such as online spatio-temporal computing and visualization.
✦ Generated by Eureka AI based on patent content.
Abstract
Applications such as online spatiotemporal analysis, network sharing and interoperability of spatial objects in the field of geology rely on the real-time and authenticity of vector data. The present invention discloses a deconstruction and adaptive transmission method for online network access and spatial analysis of large-scale vector data, which mainly solves the problems of large-scale vector data transmission efficiency and ensures the authenticity of transmitted data. The method for vector data deconstruction and adaptive transmission disclosed in the present invention uses vector elements as processing units, and includes four sub-processes: process one: server-side vector data deconstruction, process two: storage of vector data after deconstruction, process three: on-demand adaptive transmission of deconstructed vector data, and process four: transmission of deconstructed vector data to the client for reconstruction and assembly. The present invention also provides a system for vector data deconstruction and adaptive transmission in a network environment to ensure the implementation of the above method in practical applications. The present invention has application significance in the current real-time analysis, online calculation, real-time visualization and other aspects of vector data based on the Internet and cloud computing.
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