改进DV-Hop定位算法在钢构建筑健康监测中的应用

Application of improved DV-Hop positioning algorithm insteel structure health monitoring

针对钢构建筑中故障点定位精度不高的问题,提出了一种改进的DV-Hop定位算法,设计出无线传感网络技术检测故障点的方案。描述了钢构建筑健康监测系统中故障点定位方式,分析传统DV-Hop算法节点定位精度不高的缺陷,并对其进行针对性的3点改进:首先采用四通信半径来细化节点间的跳数;然后利用加权处理平均跳距进行修正;最后通过改进的麻雀搜索算法对故障点进行位置定位。以秦始皇陵兵马俑一号展厅钢构屋盖作为仿真对象,通过MADIS_GEN软件进行建模和降维化处理,将改进的ISSADV-Hop与传统DV-Hop、IPSODV-Hop和IGWODV-Hop算法应用于钢构建筑中故障点定位进行仿真对比,结果表明归一化定位误差分别降低了19.64%、14.87%、8.96%,验证了本文设计方案能够有效地提高定位精度,更适合于钢构建筑健康监测系统中故障点定位。

Aiming at the problem of low positioning accuracy to fault points in steel structures, an improved DV-Hop location algorithm is proposed, and a scheme of fault points detection based on the wireless sensor network technology is designed. This paper described the fault point location method in the steel structure building health monitoring system, analyzes the defects of the low node location accuracy of the traditional DV-Hop algorithm, and makes three targeted improvements. Firstly, four communication radiuses are adopted to refine the hops between nodes. Then, the weighted average hop distance is corrected by weighted processing. Finally, the improved sparrow search algorithm is used to locate the fault point. Taking the steel structure roof of the Terracotta Warriors and Horses Exhibition Hall No.1 of Qin Shihuang Mausoleum as the simulation object, the MADIS_GEN software is used for modeling and dimensionality reduction. The improved ISSADV-Hop is compared with the traditional DV-Hop, IPSODV-Hop, and IGWODV-Hop algorithms in the fault point location of steel structure buildings. The results show that the normalized location errors are reduced by 19.64%, 14.87% and 8.96% respectively, which verifies that the design scheme in this paper can effectively improve the positioning accuracy and is more suitable for fault point positioning in the steel structure health monitoring system.