A method for constructing an intelligent monitoring network based on STC space-time coding

By providing a unified spatiotemporal reference for the monitoring network and generating globally unique STC spatiotemporal codes, the problems of low tracking efficiency and high resource requirements across cameras in traditional video surveillance networks are solved, achieving efficient and reliable target trajectory association and monitoring capabilities.

CN122420138APending Publication Date: 2026-07-17HUANENG POWER INT INC DALIAN POWER PLANT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUANENG POWER INT INC DALIAN POWER PLANT
Filing Date
2026-06-02
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional video surveillance networks lack a unified spatiotemporal coding system, resulting in low efficiency and high computational overhead for cross-camera target tracking. Centralized analysis methods using central servers have high resource requirements and are difficult to apply in large-scale wide-area monitoring scenarios.

Method used

The STC spatiotemporal coding method is adopted, which provides a unified spatiotemporal reference for the monitoring network by deploying a time synchronization server and a high-precision positioning base station. The monitoring nodes generate globally unique STC spatiotemporal codes, and a distributed storage and dynamic routing construction mechanism is used to realize cross-node trajectory association of target objects.

Benefits of technology

It achieves low computational complexity and millisecond-level trajectory association latency for cross-node target association, reduces network bandwidth requirements, improves system reliability and scalability, and provides efficient target trajectory tracking capabilities.

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Abstract

本发明公开了一种基于STC时空编码的智能监控网络构建方法,包括以下步骤:时空基准统一、监控节点布设、时空编码生成、编码同步分发、动态路由构建、跨域轨迹关联、监控网络输出。本发明通过为每个目标对象分配全局唯一的时空编码,将目标的时空轨迹进行结构化表征,使得跨监控节点的目标关联从图像特征比对问题转化为编码匹配问题,大幅降低了计算复杂度,轨迹关联时延可控制在毫秒级别;采用分布式存储与对等网络同步机制,STC时空编码在网络中冗余备份,避免了对中心服务器的过度依赖,提升了系统整体的可靠性与可扩展性;边缘计算节点仅上传编码与结构化数据,原始视频保留在本地,显著节约了网络带宽资源,同时保护了数据隐私。
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