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机构地区:[1]苏州科技大学土木工程学院,江苏苏州215011
出 处:《苏州科技学院学报(工程技术版)》2016年第3期28-34,共7页Journal of Suzhou University of Science and Technology (Engineering and Technology)
基 金:国家自然科学基金项目(11172193)
摘 要:针对工程中对远程、长期、实时、自动监测的需要,设计了一套基于机器视觉的无线自动监测系统。在OpenWrt平台上,根据无线路由器映射原理、Web服务器访问原理以及MJPG-streamer的工作原理进行编程设计,实现了监测端的实时采集与远程无线传输;在LabVIEW平台上,结合MATLAB的函数功能,设计了系统登录、图像预览、区域选择、循环采集、实时计算、数据可视化、自动报警等模块;计算模块根据图像相关法、图像处理技术等算法进行编程,实现了对全场应变、裂缝宽度等参数的监测,并针对实际监测中环境振动与变焦距的影响,提出了标定修正公式。文中给出了监测铝板全场应变与混凝土块裂缝这两个应用实例。As to the need of the remote, long-term, real-time, automatic monitoring system in the project, the pa- per designs a wireless and automatic monitoring system based on the machine vision. The programming design is made according to the wireless router mapping principle, the server access principle and the working principles of the MJPG-streamer, which helps realize the real-time collection and the remote wireless transmission at the monitoring terminal on the platform of OPENWRT. The modules such as system login, image preview, regional selection, cycle collection, real-time computation and data visualization, automatic alarm, etc. are designed by combining the functionality of MATLAB on the platform of LABVIEW. The calculation module carries out the programming according to the image correlation method and image processing technology, and implements the monitoring of parameters in full strain and crack width. Based on the effects of the ambient vibration and zooms in the practical monitoring, the correction formula is proposed. Two application examples of full strain of the monitoring aluminum plate and the crack width of the concrete block are also given in this paper.
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