工业建筑结构耐久性无线监测系统设计与优化研究

发布时间：2018-12-10 10:33

【摘要】：工业建筑结构受到所服役的工业生产环境及自然环境等因素影响,导致工业建筑结构耐久性问题日益严重,使得工业建筑往往不能达到理想的服役年限,给工业生产安全造成了严重威胁,并且工业建筑结构性能退化及劣化使得后期针对工业建筑结构的维护加固费用不断增加,给国民经济带来了极大的损失。因此,针对工业建筑结构耐久性无线监测系统的设计及优化研究,不仅能够弥补传统的工业建筑结构检测的技术缺陷,还能保障工业生产过程的安全性,并对促进国民经济发展具有重要意义。论文在调研工业建筑结构耐久性监测系统国内外研究现状的基础上,总结了当前工业建筑结构耐久性检测技术的现状,对其所存在缺陷进行分析。首先,确定了工业建筑结构耐久性监测参数类别及无线监测系统的总体架构,通过对工业建筑结构耐久性无线监测系统的进行硬件选型和软件设计,完成了工业建筑结构耐久性无线监测系统的整体设计。其次,采用网络模拟仿真软件NS-allinone-2.34对工业建筑结构耐久性无线监测网络进行了仿真分析,通过与传统的不相交路径算法比较,验证了自适应分布式不相交多路径拓扑控制算法(ADPV)在无线监测网络的容错性、节点连接修复及网络寿命等方面的优越性。最后,论文对大数据技术在工业建筑结构耐久性无线监测系统中的应用进行研究,通过对工业建筑结构耐久性的大数据种类进行归类,设计了工业建筑结构耐久性大数据模型,并运用Tableau大数据分析工具实现了工业建筑结构耐久性数据的可视化分析及耐久性可视化数据的存储及管理。本研究对于保障工业建筑的安全运营具有重要的意义,为后期针对工业建筑结构的服役状态及其结构耐久性的整体评估提供了可靠的数据支撑,对于工业建筑结构的维修加固具有现实指导意义。
[Abstract]:The industrial building structure is affected by the industrial production environment and the natural environment, which leads to the problem of durability of industrial building structure becoming more and more serious, which makes the industrial building often can not reach the ideal service life. It poses a serious threat to the industrial production safety, and the degradation and deterioration of industrial building structure make the maintenance and reinforcement cost of industrial building structure increase continuously in the later period, and bring great loss to the national economy. Therefore, the design and optimization of wireless monitoring system for durability of industrial building structure can not only make up for the technical defects of traditional industrial building structure inspection, but also guarantee the safety of industrial production process. And to promote the development of the national economy has important significance. On the basis of investigating the present situation of durability monitoring system of industrial building structure at home and abroad, this paper summarizes the present situation of durability detection technology of industrial building structure, and analyzes its defects. First of all, the durability monitoring parameters of industrial building structure and the overall framework of wireless monitoring system are determined. The hardware selection and software design of the wireless monitoring system for industrial building structure durability are carried out. The overall design of wireless monitoring system for durability of industrial building structure is completed. Secondly, the network simulation software NS-allinone-2.34 is used to simulate and analyze the wireless monitoring network of industrial building structure durability, which is compared with the traditional disjoint path algorithm. The advantages of adaptive distributed disjoint multipath topology control algorithm (ADPV) in fault tolerance node connection repair and network lifetime of wireless monitoring network are verified. Finally, the paper studies the application of big data technology in the wireless monitoring system of industrial building structure durability. The visual analysis of durability data of industrial building structure and the storage and management of durability visualization data are realized by using Tableau big data analysis tool. This study is of great significance for ensuring the safe operation of industrial buildings and provides reliable data support for the overall evaluation of the service state and durability of industrial buildings in the later stage. It has practical guiding significance for the maintenance and reinforcement of industrial building structure.
【学位授予单位】：西安建筑科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP274;TU317

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