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作 者:高松 刘威[1] Gao Song;Liu Wei(School of Physics Science and Technology,Wuhan University,Wuhan 430072,Chin)
机构地区:[1]武汉大学物理科学与技术学院,武汉430072
出 处:《计算机测量与控制》2018年第8期10-13,45,共5页Computer Measurement &Control
基 金:国家自然科学基金(61474084);国家自然科学基金(61722405)
摘 要:为解决重点行业领域安全信息化水平不高,存在监测盲点等问题,设计并实现了一种多场景智能头盔监测系统;系统从功能角度分为3个部分,集成在头盔上的环境数据采集终端以STM32为核心,负责检测环境状态;无线视频数传单元根据使用场景的网络状况的不同,灵活选择OpenWrt路由模块或安卓手机来传输视频与环境参数;多样化监测平台则负责现场画面、环境参数的显示与存储;实验结果表明,系统具有良好的适应性,能够实时监测人员的作业环境与画面。In order to solve the problems of low level of security informatization and monitoring blind spots in key industries,a multi-scene intelligent helmet monitoring system was designed and implemented.The system is divided into three parts from the perspective of function.The environment data collecting terminal integrated in the helmet based on STM32 is responsible for detecting the state of the environment.According to the different network scenarios,the wireless video data transmission unit can flexibly choose OpenWrt routing module or Android mobile phone to transmit video and environment parameters.Diversified monitoring platform is responsible for the display and storage of the scene,the environment parameters.The results show that the system has good adaptability,and can monitor the working environment and screen of the staff in real time.
分 类 号:TN92[电子电信—通信与信息系统]
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