云边端一体的时空数据处理系统及方法
By using a cloud-edge-device integrated spatiotemporal data processing system, which leverages the collaborative computing of servers, edge devices, and end-devices, the system solves the problems of high storage costs, difficulty in synchronizing data redundancy, and transmission delays in cloud-edge-device systems, achieving efficient data processing and rapid response.
CN122412482APending Publication Date: 2026-07-17TSINGHUA UNIVERSITY
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TSINGHUA UNIVERSITY
- Filing Date
- 2026-03-06
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing cloud-edge-device systems suffer from high storage costs, difficulty in synchronizing data redundancy, and transmission delays when processing large-scale sensor data, leading to inaccurate query results.
Method used
The system adopts a cloud-edge-device integrated spatiotemporal data processing system. Through collaborative computing of servers, edge devices and end devices, it utilizes metadata information for hierarchical management and computing task scheduling, realizing local data processing and result integration, and reducing network transmission pressure.
Benefits of technology
It improves data processing efficiency, reduces storage costs, reduces data redundancy and transmission latency, and enhances overall system performance and response speed.
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Figure CN122412482A_ABST
Abstract
本申请涉及分布式数据处理技术领域，特别涉及一种云边端一体的时空数据处理系统及方法，其中，系统包括：服务器、边缘设备和端侧设备，其中服务器下辖边缘设备，边缘设备下辖端侧设备；服务器接收用户查询请求，将其拆分为不同类型算子生成候选查询业务，下发至边缘设备并反馈结果；边缘设备存储端侧元数据信息，分析候选业务生成算子表，将算子表及候选业务发送至本地计算单元和端侧设备，并整合计算结果反馈服务器，元数据信息包括传感器空间分布和时间戳时序信息；端侧设备识别算子内容，将算子表及候选业务发送至边缘设备和端侧计算单元，并返回计算结果。由此，解决了相关技术存储成本高、数据冗余难以同步及传输延迟等问题。
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