基于视觉物联网的隧道人员定位系统的设计

Tunnel Personnel Positioning System Design Based on Visual Internet of Things

针对当前的隧道人员监控系统中,多半处于半自动化状态,以人工为主,很难做到完全、及时和准确,另外,传统的基于射频信号的隧道人员定位方法在抗干扰方面有着无法解决的缺陷;为此提出一种以视觉物联网技术为基础的隧道人员定位系统的设计方法;通过图像采集设备对隧道内的情况实时进行计算机视觉监控,运用无线传感器组成的物联网络对采集到的实时图像信息进行分析、处理、传递;运用以嵌入式技术为基础的图像处理终端进行相关人员的判断,一旦判断为异常情况,进行定位跟踪;实验证明,基于视觉物联网的系统能够对非常规区域的人员进行异常监控,准确度较高。

In view of the current tunnel monitoring system of personnel, mostly at half automation state, it is difficult to be totally, time- ly and accurate, in addition, the traditional RF signaI based on the tunnel personnel localization method in anti--interference can not solve de- fect. Therefore proposed visual lot （Internet of Things） technology as the foundation of the tunnel personnel positioning system design method. Through the image acquisition of equipment on the tunnel real--time computer vision monitoring, and applying wireless sensor net- work composed of content league for the collected real-- time image information analysis, processing and transmitting. Using embedded tech- nology based on image processing terminal relevant personnel of judgment, once the judgment to the abnormal situation, positioning track- ing. Experiments show, based on visual IoT （Internet of Things） systems can on irregular area personnel abnormal monitoring and accurate.