[1]李 婷,溥 江,杨伟力.一种多节点自适应安防监控系统设计与研究[J].机械与电子,2025,(07):30-35.
　LI Ting,PU Jiang,YANG Weili.Design and Research of a Multi-node Adaptive Security Monitoring System[J].Machinery & Electronics,2025,(07):30-35.
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一种多节点自适应安防监控系统设计与研究()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年07期
页码:
30-35
栏目:
自动控制与检测
出版日期:
2025-07-27

文章信息/Info

Title:
Design and Research of a Multi-node Adaptive Security Monitoring System
文章编号:
1001-2257 ( 2025 ) 07-0030-06
作者:
李 婷; 溥 江; 杨伟力
贵州民族大学物理与机电工程学院,贵州 贵阳 550025
Author(s):
LI Ting ;  PU Jiang ;  YANG Weili
( School of Physics and Mechatronics Engineering , Guizhou Minzu University , Guiyang 550025 , China )
关键词:
安防监控; 入侵检测; 多节点; 自适应; RK3588
Keywords:
security monitoring ;  intrusion detection ;  multi-node ;  self-adaptation ;  RK3588
分类号:
TP277
文献标志码:
A
摘要:
针对传统安防监控系统部署复杂、检测节点受线束与数量限制等问题,设计了一种多节点自适应安防监控系统。首先,在局域网内 RK3588 中央控制单元分别与终端节点建立 UDP 广播服务、与摄像头节点建立 ONVIF 通信服务,实现节点的自适应匹配,达到自动发现、连接与信息获取的目的。其次,终端节点使用多传感器进行入侵检测,通过 HTTP 协议向中央控制单元发送入侵信息;摄像头节点使用 RTSP 协议获取图像,利用 RKNN 模型进行推理,搭配高性能 NPU 进行神经网络计算,加速推理速度,提升入侵检测效率。最后,搭建云监控平台,与中央控制单元进行网络通信,实现入侵事件的实时展示,并提供友好的操作界面和数据可视化功能。实验结果表明,入侵检测节点能够快速自动接入系统,并准确、高效地进行入侵检测,具有较高的实用性与拓展性,为增加安全相关产品的应用场景提供了有价值的参考。
Abstract:
In view of the complicated deployment of traditional security monitoring system and the limited number of detection nodes , a multi-node adaptive security monitoring system is designed.First of all , the RK3588 central control unit in the LAN establishes UDP broadcast service with the terminal node and ONVIF communication service with the camera node to realize the adaptive matching of nodes and achieve the purpose of automatic discovery , connection and information acquisition.Secondly , the terminal node uses multiple sensors for intrusion detection and sends intrusion information to the central control unit through HTTP protocol ; the camera node uses RTSP protocol to obtain images , uses RKNN model for reasoning , and uses high performance NPU for neural network calculation to accelerate reasoning speed and improve the efficiency of intrusion detection.Finally , the cloud monitoring platform is built to communicate with the central control unit to realize real-time display of intrusion events , and provide friendly operation interface and data visualization functions.The experimental results show that the intrusion detection node can quickly and automatically access the system , and carry out the intrusion detection accurately and efficiently , which has high practicability and expansibility , and provides a valuable reference for increasing the application scenarios of security-related products.

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备注/Memo

备注/Memo:
收稿日期: 2025-02-07
基金项目:贵州民族大学自然科学基金资助项目( GZMUZK [ 2023 ] YB04 );贵州民族大学博士启动基金资助项目( GZMUZK [ 2024 ] QD73 )
作者简介:李 婷 ( 2001- ),女,贵州威宁人,硕士研究生,研究方向为嵌入式系统集成与应用;溥 江 ( 1977- ),女,云南玉溪人,硕士,副教授,研究方向为在机器视觉下缺陷检测与分析;杨伟力 ( 1990- ),男,贵州务川人,博士,副教授,研究方向计算机视觉、生物特征识别。
更新日期/Last Update: 2025-09-01