视觉物联网下智能养老监控系统信号控制技术
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平顶山学院,信息工程学院,,

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基于可穿戴设备的跌倒检测及远程监护系统研究


Signal control technology of intelligent endowment monitoring system under visual Internet of things
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    摘要:

    传统控制技术仅适用于无信号干扰,在有其它信号干扰条件下的控制效果较差,提出了视觉物联网下智能养老监控系统信号控制技术。设计信号控制流程,并对信号进行分发处理。根据节点密度来估计信号分发情况,在视觉物联网环境下,记录并统计每个节点受到信号影响而传输延迟的时间,选择一条最短路径,作为信号分发处理方案。采用自适应联合滤波信号定位方法,将分发处理后的信号自动推算传递方向,利用影像编码器可获取信号传递位置,并对其定位所产生的误差进行适当补偿,访问区域性子模块,实现对有效信号的控制。由实验结果可知,该技术最高控制效果可达到90%,为养老监控系统信号的控制提供支持。

    Abstract:

    The traditional control technology is only applicable to non signal interference, and the control effect is poor under other signal interference conditions, and the signal control technology of intelligent old-age monitoring system under the Internet of things is proposed. Design the signal control flow and distribute the signal. According to the node density, the signal distribution is estimated. In the environment of the Internet of things, the time that each node is delayed by the signal is recorded and counted, and a shortest path is selected as the signal distribution processing scheme. The adaptive joint filtering signal location method is used to automatically calculate the transmission direction after the distributed signal processing, and the signal transmission position can be obtained by using the image encoder, and the error generated by the location is properly compensated and the regional sub module is accessed to realize the control of the effective signal. The experimental results show that the maximum control effect of the technology can reach 90%, which provides support for the signal control of the pension monitoring system.

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丁亚飞,王启明,王飞飞.视觉物联网下智能养老监控系统信号控制技术计算机测量与控制[J].,2018,26(9):117-120.

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  • 收稿日期:2018-06-13
  • 最后修改日期:2018-07-04
  • 录用日期:2018-07-04
  • 在线发布日期: 2018-09-14
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