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基于LABVIEW及LINUX的远程结构监测系统的软件设计

Design of Remote Structural Monitoring System Based on LABVIEW and LINUX Software

【作者】 景玉冰

【导师】 刘晓平;

【作者基本信息】 北京邮电大学 , 检测技术与自动化装置, 2008, 硕士

【摘要】 目前,大型结构监测技术已经成为国内外学术界、工程界研究的热点,为了保证大型结构的安全性,必须对其进行有效的远程监测。远程监测技术是网络技术、计算机技术和自动化技术的结合。借助上述技术并通过构建网络,远程监测系统则可有效的利用各种设备的信息资源及其数据处理能力,真正意义上实现资源共享和协同工作。因此实现远程结构监测的现场采集网络化和远程监控智能化对远程结构监测的发展有深远的意义。本论文根据远程结构的主要特点和长期实时监测的需求,提出一套基于LABVIEW和LINUX软件开发的远程结构监测系统的方案,并对监测中心和监测点进行了详细的系统设计和软件开发。本文针对目前数据处理完全依靠监测中心软件的低效率方式,设计并实现了双层网络的组网方式。首先采用嵌入式系统开发监测点,并实现根据路由表进行网络拓扑、实时加载数据算法等功能。这充分利用了嵌入式系统的高效数据处理能力及其功能可定制的特点,从根本上实现了一个监测系统可以定制多种监测对象的要求。其次本课题采用在LABVIEW平台上开发监测中心软件,实现了数据实时显示、预警、模态参数计算等功能模块。监测中心不但可与下位机监测点进行双向通讯,而本身也可以进行网络拓扑,这就可以形成了监测中心和监测点的双层网络,彼此分担大量的数据处理及计算,提高了整体的数据传输及运算效率。本系统具有通用性好、可靠性高、可扩展性强等优点,它可针对不同的对象信息设置不同的数据处理算法,还可以在同一监测对象下动态重新组网,这些灵活性和扩展性将为系统带来广阔的应用领域。本论文对系统的软件做了全面的开发,为今后进一步开展系统的硬件配套研究工作打下了良好的基础。

【Abstract】 At present, monitoring techniques of large-scale structure both at home and abroad have become the focus of academics and engineers, and in order to ensure the safety of large-scale structure, effective remote monitoring is important. Remote monitoring technology is combined by Internet technology, computer technology and automation technology. With these technologies and by building networks, the information resources and data processing capabilities can be used effectively by remote monitoring system, and the sharing of resources and working together is realized indeed. So the realization of the network of on-site collection system and the realization of the intelligence of the remote monitoring is of far-reaching significance. According to the main characteristics of long-range structure and the long-term demand of real-time monitoring, the paper put forward a project of a remote monitoring system based on LINUX-and-LABVIEW, and carried out a detailed system design and software development of the monitoring center and of the monitoring point.The current system processing the data only by monitoring center is inefficient, so the two-tier network method is designed and implemented in this paper. Firstly the monitoring point is developed by embedded system. The function of achieving the network topology according to the route table and the function of real-time loading algorithm are also realized. The efficient data processing capabilities and the functional customization features of the embedded system are fully utilized, and the monitoring system which can be customized to a variety of monitoring requirements is developed. Secondly, the monitoring center is developed in the platform of LABVIEW, and the functions of real-time display of data, early warning and modal parameters’ calculation are realized. Monitoring centre not only could bidirectional communicates with the monitoring point, but also could conduct their own network topology. So the two-tier network formed by the monitoring center and the monitoring point is constructed, and the overall operation and data transmission efficiency is improved by the mutual process of large amounts of data.The system is versatile, high reliable, scalable, and of other advantages. It can have different targets with different data processing algorithms, and also can re-group network dynamically under the same monitoring object. The system will have immense fields of application for its flexibility and scalability. In the paper, the software is developed systematically, and a good foundation is laid for our further research of the hardware support.

  • 【分类号】TP311.52
  • 【下载频次】255
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