一种基于电子地图的通道点位聚合与框选查询方法
By building a standardized point grid aggregation model and a multi-form bounding box query method on the backend of the electronic map, the problems of strong dependence on third parties, poor computational stability and insufficient business integration in the existing technology are solved. This achieves efficient and flexible point aggregation and bounding box query, improving the system's deployment adaptability and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU ARTECH
- Filing Date
- 2026-03-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing electronic map point aggregation and bounding box query solutions are heavily reliant on third-party map SDKs and dedicated spatial database plugins. They lack server-side aggregation calculation and data statistics capabilities, making it difficult to balance the performance and versatility of multi-form bounding box queries. They also cannot be deeply integrated with general business logic, resulting in poor system deployment flexibility, insufficient real-time computing, and a fragmented user experience.
By building a standardized point grid aggregation model and a spatial range judgment mechanism based on mathematical formulas in the backend, the server can calculate and perceive the aggregation center, point density and distribution data in real time. Combined with standardized multi-form box selection judgment logic and row-level permission control, and integrating pagination loading and caching mechanisms, the system's high-concurrency response performance and business scalability are improved.
It enables efficient backend aggregation and accurate multi-form bounding box query of massive channel points without the need to install spatial database extension components, improving the system's deployment flexibility, computing real-time performance, and business scalability, and solving the problems of strong dependency, poor computing stability, and functional fragmentation in existing technologies.
Smart Images
Figure CN121919244B_ABST