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TUNNEL STRUCTURE DISEASE MULTI-SCALE MEASUREMENT AND INTELLIGENT DIAGNOSIS SYSTEM AND METHOD

机译:隧道结构疾病多尺度测量和智能诊断系统和方法

摘要

Provided are a tunnel structure disease multi-scale measurement and intelligent diagnosis system, a floating attachment device, a multifunctional pan-tilt and a radar-measurement-data-based method for intelligently identifying a target body. The tunnel structure disease multi-scale measurement and intelligent diagnosis system comprises: a walking portion; a supporting portion, which is arranged on the walking portion, wherein the supporting portion comprises a rotatable extendable rack, and double mechanical arms (3, 4) working in parallel are arranged on the rotatable extendable rack; a measurement portion, which is mounted on the supporting portion, and is used for carrying out multi-scale measurement on apparent diseases and internal diseases of a tunnel structure that are at the same position but with different depths, and transmitting measured disease information to a control portion (5); and the control portion (5), which is configured to build a disease diagnosis model based on a deep neural network. A data set is constructed by using historical apparent disease and internal disease information, and the disease diagnosis model is trained based on the deep neural network; and multi-scale measurement information is received in real time, and the types, positions, contours and dielectric properties of internal and apparent diseases are automatically identified.
机译:提供了隧道结构疾病多尺度测量和智能诊断系统,浮动附件装置,多功能泛倾斜和基于雷达测量数据的方法,用于智能地识别目标体。隧道结构疾病多尺度测量和智能诊断系统包括:行走部分;布置在行走部分上的支撑部分,其中支撑部分包括可旋转的可伸展架,并且并联工作的双机械臂(3,4)布置在可旋转的可伸展架上;安装在支撑部分上的测量部分,并且用于对表观疾病和隧道结构的内部疾病进行多尺度测量,该隧道结构处于相同位置,但具有不同的深度,并将测量的疾病信息传送到a控制部分(5);和控制部分(5),其被配置为基于深神经网络构建疾病诊断模型。通过使用历史表观疾病和内部疾病信息构建数据集,并且疾病诊断模型基于深度神经网络培训;和多尺度测量信息实时接收,以及自动识别内部和表观疾病的类型,位置,轮廓和介电性质。

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