| 基于GPS/LBS双模定位人体监护系统的研究 |
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| 引用本文： | 何昌东,余红英,樊永生,杨臻.基于GPS/LBS双模定位人体监护系统的研究[J].应用声学,2015,23(2). |
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| 作者姓名： | 何昌东 余红英 樊永生 杨臻 |
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| 作者单位： | 中北大学 计算机与控制学院,中北大学 计算机与控制学院,中北大学 计算机与控制学院, |
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| 基金项目： | 国家自然基金(50475176,50675015)；山西省自然科学基金(2013011017-8) |
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| 摘 要： | 据报道每年中国丢失的儿童、老人、智障患者共有80多万,只有极少数可以被安全找回,再者当今社会经常出现老年人摔倒在地而无人搀扶的情况。为解决此类问题,本文设计了一款基于GPS/LBSS的人体定位监护系统。该系统以ARMSCortex-M3S系列的STM32F103ZE为核心处理器,结合GPS卫星定位模块、无线通信模块、三轴加速度计和三轴陀螺仪以及在VC++平台开发的GIS上位机构成监护系统。该监护系统可根据用户的需求实现实时定位、紧急求救、跌倒检测、电子围栏等功能。定位模式采用GPS/LBS双模式定位,提高定位精度；通信方式采取GSM/GPRS双通信模式,无通信盲区,数据传输稳定。
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| 关 键 词： | STM32F103ZE GPS/LBS 人体定位 跌倒检测 |
The Research of body dual-mode positioning monitoring system based on GPS / LBS |
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| Yu Hongying,Fan Yongsheng and Yang Zhen.The Research of body dual-mode positioning monitoring system based on GPS / LBS[J].Applied Acoustics,2015,23(2). |
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| Authors: | Yu Hongying Fan Yongsheng and Yang Zhen |
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| Institution: | School of Computer and Control Engineering,North University of China,School of Computer and Control Engineering,North University of China,School of Computer and Control Engineering,North University of China, |
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| Abstract: | It is reported that China will lost children, the elderly, mentally handicapped patients to a total of 80 million each year, only a handful can be safely recovered, Moreover in today's society elderly often fall to the ground without any help. To solve this problem we design a body monitoring system based on GPS/LBS. The ARM Cortex-M3 is used as the main processor. Using STM32F103ZE series combines GPS satellite positioning module, GSM wireless communication module, tri axial accelerometer and three-axis gyroscope. The upper PC detection system is designed based on the VC++ platform combined with the GIS monitoring system, which can be positioned according to the needs of users in real time to handle emergency, fall detection, electronic fences and other functions. Using GPS/LBS positioning dual-mode can improve positioning accuracy; The GSM/ GPRS dual-mode of communication without communications blackout, stably data transmission. |
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| Keywords: | STM32F103ZE GPS/LBS Body positioning Fall detection |
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