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BRIDGE KEY COMPONENT DISEASE EARLY-WARNING SYSTEM AND METHOD BASED ON IMAGE MONITORING DATA

机译:基于图像监测数据的桥梁关键要素病害预警系统及方法

摘要

A bridge key component disease early-warning system and method based on image monitoring data. The system comprises an image collection and data transmission system, an image processing system and an assessment early-warning system. The image collection and data transmission system consists of high-definition cameras, a solar module, an auxiliary light source, a wireless transmission network and a data receiving end; the high-definition cameras are provided on key structure parts of a bridge, and image data is collected according to a certain frequency and transmitted to the data receiving end. The image processing system has the functions of automatic reading and optimization of a high-definition image and disease recognition and classification, and achieves machine vision analysis on monitoring component operation quality. The assessment early-warning system performs tracking and condition evaluation on the development of a possible disease by using a disease binary image as a research object, and if the disease development rate and severity exceed a threshold limit value, an early-warning is given. Automatic monitoring of bridge key components is achieved, and the early-warning system and method are of great significance in ensuring the safety of the structure.
机译:基于图像监测数据的桥梁关键成分疾病预警系统和方法。该系统包括图像采集和数据传输系统,图像处理系统和评估预警系统。图像采集与数据传输系统由高清摄像机,太阳能模块,辅助光源,无线传输网络和数据接收端组成。高清晰度摄像机设置在桥梁的关键结构部分,图像数据按照一定的频率采集后发送到数据接收端。该图像处理系统具有自动读取和优化高清图像以及疾病识别和分类的功能,并实现了对部件运行质量进行监控的机器视觉分析。评估预警系统通过使用疾病二值图像作为研究对象,对可能疾病的发展进行跟踪和条件评估,如果疾病发展的速度和严重性超过阈值极限,则给出预警。实现了桥梁关键构件的自动监测,预警系统和方法对确保结构安全具有重要意义。

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