目的 在城市化加速拓展与城市交通安全风险日益复杂化的背景下,针对现有城市轨道交通安防系统缺乏动态人机权责分配机制的短板,旨在构建基于多模态感知与人机协同框架的智能安防系统,探索保障城市轨道交通运营安全稳定的模式与路径。方法 以安防数智化理念为指导,通过安全需求分析,探讨如何细化轨道交通站场安全节点,架构系统化的安防逻辑体系,以提升其感知效率、响应速度,以及乘客交互的舒适度与视觉体验。结果 提出了一套系统性的智能安防系统效能优化设计策略。结论 通过对城市轨道交通智能安防系统的解构与研究,完善了其整体安防结构,构建了站场安防系统线性逻辑优化的可借鉴范式。
Abstract
Under the background of accelerating urbanization and increasing complexity of the urban traffic safety risks, in view of the shortcomings of the existing urban rail transit security system lacking a dynamic human-machine rights and responsibilities distribution mechanism, the work aims to construct an intelligent security system based on multi-modal perception and human-machine collaboration framework, and explore the mode and path to ensure the safety and stability of urban rail transit operation. Guided by the concept of digital intelligence of security, through the analysis of safety requirements, the discussion was conducted on how to refine the safety nodes of rail transit stations and build a systematic security logic system to improve their perception efficiency, response speed, and comfort and visual experience of passenger interaction. Then, a systematic design strategy for optimizing the performance of intelligent security system was put forward. Through the deconstruction and research of the intelligent security system of the urban rail transit, the overall security structure is improved, and a reference paradigm for linear logic optimization of the station security system is constructed.
关键词
城市轨道交通 /
智能安防系统 /
多模态人机协同 /
升级优化
Key words
urban rail transit /
intelligent security system /
multi-modal human-machine collaboration /
upgrade and optimization
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