基于大数据的区域生育能力普查统计预测系统
The regional fertility census statistical prediction system based on big data has solved the problems of data fragmentation and poor real-time performance, and has achieved efficient integration and accurate prediction of multi-source heterogeneous data, thereby improving the system's adaptability and efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- THE SEVENTH MEDICAL CENTER OF PLA GENERAL HOSPITAL
- Filing Date
- 2025-10-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing regional fertility census and statistical prediction methods suffer from problems such as data fragmentation, poor real-time performance, insufficient semantic understanding, and weak regional adaptability, resulting in difficulties in efficient data integration, inaccurate analysis results, and high system complexity.
A regional fertility census statistical prediction system based on big data is adopted, including a spatiotemporal semantic computing module, a hierarchical computing architecture, a two-layer optimization module, a computational migration module, a semantic resonance module, a semantic focusing module, and a collaborative perception module. Through a unified spatiotemporal semantic representation and hierarchical computing architecture, it achieves efficient fusion and semantic understanding of multi-source heterogeneous data, dynamically adjusts data collection and analysis strategies, and improves prediction accuracy and system efficiency.
It achieves efficient fusion of multi-source heterogeneous data, shortens system response time, improves prediction accuracy, reduces system complexity, and enhances model adaptability and resource utilization, adapting to the data distribution characteristics of different regions.
Smart Images
Figure CN121301808B_ABST