基于红外技术的物联网异常节点智能定位系统设计

The design of intelligent positioning system of Internet of things abnormal nodes based on infrared technology

为了解决传统方法定位精准度低、耗时长和准确率不高的问题,在红外技术基础上设计出一种物联网异常节点智能定位系统。提出测量角度信息得出双站测角定位原理,实现三角交叉定位,根据"几何稀释"原理同时融合红外平台本身具有的特点,构建正交多站测角红外被动定位模型。根据该模型获取出对应节点距离灵敏度曲线结论以及异常节点大概范围区域,为解决传统DV-HOP算法容易受环境因素影响导致定位结果出现偏差问题,通过获取节点跳数、计算平均跳距以及节点定位三个主要点位阶段进行改进,实现对物联网中异常节点定位,完成物联网异常节点智能定位系统设计。仿真实验结果,验证所提系统计算过程简便,定位精度高,定位耗时较短,且误差值小准确率较高。

In order to solve the problem of low accuracy and long time consumption of traditional positioning methods,this paper designs an intelligent positioning system of abnormal nodes in the Internet of things based on infrared technology.According to the principle of geometric dilution and the characteristics of the infrared platform,the infrared passive positioning model of orthogonal multi-station angle measurement is constructed.According to the conclusion of the corresponding node distance sensitivity curve and the approximate range of abnormal nodes,in order to solve the problem that traditional DV-Hop algorithm is easy to be affected by environmental factors and leads to the deviation of positioning results,the three main point stages of node hop number,average hop distance and node positioning are improved to realize the positioning of abnormal nodes in the Internet of things and to complete the design of intelligent positioning system for network abnormal nodes positioning of abnormal nodes in the Internet of things.The simulation results show that the proposed system has the advantages of simple calculation process,high positioning accuracy,short positioning time and high accuracy with small error value.