武警哨兵国产CPU芯片集成多生理参数及环境信息智能监测系统的设计与应用研究
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摘要
目的利用信息化途径构建起武警哨位与执勤监控站点,以及上级管理站点间武警哨兵生理信号参数、环境信息参数监测信息初筛,为武警监管站点提供直观的哨兵的生理状态及环境状况预警。方法应用大数据和人工智能,设计一套基于国产CPU芯片的武警哨兵集成多生理参数及环境信息的智能监测系统,对在一个集成融合的监控中心实现对武警哨兵的生理信号参数和哨位环境信息参数进行实时监测分析。结果通过该系统的建设最大限度地依托国产CPU芯片进行开发,极大地优化了信息安全手段,提高对武警哨兵的多途径实时有效看护,武警监管站点能及时根据参数的改变和预警判断哨兵身体突发状况,及时给出处置方案,严防武警哨兵在执勤过程中的意外事件发生。结论实现对武警哨兵的生理信号参数和哨位环境信息参数进行实时监测分析,为执勤监控站点及上级管理站点预警。
Objective To design a surveillance system for the Chinese Armed Police Force(CAPF below) that can monitor integrated physiological signal parameters with environment prescreening using informationization methods so as to provide visualized early warning about the physiological and environmental status of CAPF sentry for supervisors. Methods Massive data and artificial intelligence(AI) were used to build an intelligent surveillance system based on home-made CPU that could collect integrated multi-physiological parameters and environment information for CAPF sentry. This system was capable of real-time monitoring and analysis of CAPF sentry's physiological signal parameters and the environment information on the post in an integrated monitoring center. Results The construction of this system optimized information security methods to a great extent,thus improving the quality of real-time and multipath care to CAPF sentry. Sentry supervisors could be warned of any health emergency according to the change of physiological parameters of the sentry in order to take immediate measures. Conclusions This system is capable of real-time surveillance and analysis of physiological signal parameters and environment information of the sentry so that early warning has become possible.
Objective To design a surveillance system for the Chinese Armed Police Force(CAPF below) that can monitor integrated physiological signal parameters with environment prescreening using informationization methods so as to provide visualized early warning about the physiological and environmental status of CAPF sentry for supervisors. Methods Massive data and artificial intelligence(AI) were used to build an intelligent surveillance system based on home-made CPU that could collect integrated multi-physiological parameters and environment information for CAPF sentry. This system was capable of real-time monitoring and analysis of CAPF sentry's physiological signal parameters and the environment information on the post in an integrated monitoring center. Results The construction of this system optimized information security methods to a great extent,thus improving the quality of real-time and multipath care to CAPF sentry. Sentry supervisors could be warned of any health emergency according to the change of physiological parameters of the sentry in order to take immediate measures. Conclusions This system is capable of real-time surveillance and analysis of physiological signal parameters and environment information of the sentry so that early warning has become possible.
引文
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[4]刘红梅,苏彬,武周,等.武警官兵高温高湿环境下执行抗洪救灾任务发病规律分析[J].武警医学,2017,28(7):660-663.
[5]王骥,沈玉利.基于无线传感器网络生理参数采集系统的设计[J].电子测量与仪器学报,2009,23(2):94-99.
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[7]冯爱民.武警某部守桥官兵疾病调查与分析[J].武警医学,2004,15(7):789-790.
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