Intelligently Closed-loop Video Monitoring System based on Multi-module Collaboration: A Case Study on Jinan Metro

Gang Li; Qi Wang; Junfeng An; Yunyun Cen; Jinbao Zhao; Changhao Chen

doi:10.15878/j.instr.202600361

Vol. 13 No. 3 (2026), Articles

Vol. 13 No. 3 (2026)

Intelligently Closed-loop Video Monitoring System based on Multi-module Collaboration: A Case Study on Jinan Metro

Articles

https://doi.org/10.15878/j.instr.202600361

Published 2026-11-10

Gang Li
Qi Wang⁺⁻
Junfeng An⁺⁻
Yunyun Cen⁺⁻
Jinbao Zhao⁺⁻
Changhao Chen

Gang Li

Qi Wang

Jinan Rail Transit Group Operation Co., Ltd

Junfeng An

bjtu

Yunyun Cen

Jinan Rail Transit Group Co.

Jinbao Zhao

School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China

Changhao Chen

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Keywords

compression technology, AI abnormal behavior detection

How to Cite

Li, G., Wang, Q., An, J., Cen, Y., Zhao, J., & Chen, C. (2026). Intelligently Closed-loop Video Monitoring System based on Multi-module Collaboration: A Case Study on Jinan Metro. Instrumentation, 13(3). https://doi.org/10.15878/j.instr.202600361

Abstract

认识到城市轨道交通（URT）异常场景的自动识别，对于URT的安全有效运行至关重要。以智南地铁智能视频系统成功应用为例，本文深入探讨了该系统平台的建设内容，分析了视频压缩技术、人工智能异常行为检测和移动终端业务的闭环构建。尤其是视频压缩技术有效节省存储空间，AI系统能自动检测30多种异常行为，开发的移动终端能快速推送预警信息、提供处置措施并生成事件报告。济南地铁智能视频系统的成功经验及有效策略为URT运营商提升URT安全水平和管理效率提供了有力参考。

https://doi.org/10.15878/j.instr.202600361

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