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基于策略的厂区安全与监控系统的设计与实现
引用本文:焦生金.基于策略的厂区安全与监控系统的设计与实现[J].计算机测量与控制,2019,27(10):104-108.
作者姓名:焦生金
作者单位:中车永济电机有限公司,山西永济,044500
摘    要:为了解决企业目前存在的人工监控注意力不能长时间集中、发生事故后只可逐一倒查而无法提前预警、监控视频图像数据存档分析困难、重点区域进出权限无法有效管控等问题,本文提出一种基于策略的厂区安全与监控智能管理系统,本系统以网络闸机、智能网络摄像头、移动终端设备为硬件基础,基于厂区现有的网络通路,通过配置区域入侵、人员徘徊、滞留、倒地和安全帽佩戴检测等不同安全策略组合,实现重点区域的人体异常行为智能识别、危险预警、报警转发和远程监控,将企业现有的“被动监控”模式转换为可提前危险预警的“主动监控”模式,将现有的单台闸机设备联网,通过远程下发MES系统生成的车间生产排程任务到相关车间入口的闸机设备,实现对厂区内部不同车间、不同时段的放行权限管控。

关 键 词:安全策略  危险预警  智能管控  主动监控
收稿时间:2019/6/4 0:00:00
修稿时间:2019/6/20 0:00:00

Design and Implementation of Strategy-based Plant Safety and Monitoring System
Abstract:n order to solve the problems existing in enterprises, such as manual monitoring attention can not be concentrated for a long time, after an accident can only be checked one by one without early warning, the difficulty of archiving and analyzing surveillance video and image data, and the inability of effective control of access rights in key areas, this paper proposes a strategy-based intelligent management system for plant safety and monitoring. This system uses network gates and intelligent networks cameras and mobile terminal equipments are the hardware basis. Based on the existing network access in the factory area, through configuring different security strategy combinations such as area intrusion, personnel wandering, detention, falling to the ground and safety helmet wearing detection, the in-telligent recognition of human abnormal behavior, danger warning, alarm forwarding and remote monitoring in key areas can be realized, and the existing "passive monitoring" mode of enterprises can be transformed into "passive monitoring". The "active monitoring" mode of early warning of danger connects the existing single gate equipment to the network, and realizes the management and control of the release rights of different workshops and different time periods in the inner part of the plant by sending down the production scheduling tasks generated by MES sys-tem to the gate equipment at the entrance of relevant workshops remotely.
Keywords:safe strategy  Risk early warning  Intelligent control  proactive monitoring
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