一种创新的车载处理器,用于实时GPR监测铁路路基状况

S. Caorsi, G. Cevini, F. Burro, M. Sciotti, S. Sorge
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引用次数: 1

摘要

SAFE-RAIL系统和相应的处理单元是实时应用中求解电磁逆问题的成功案例。SAFE-RAIL系统车载处理单元旨在通过创新的探地雷达设备提供实时利用微波传感行动产生的原始数据的功能。特别是,根据欧洲STREP项目SAFE-RAIL声明,主要目标集中在与铁路轨道地下相关的微波传感数据的自动解释,旨在表征镇流器和亚镇流器层的特性,并随后实时提取地球物理参数。基于神经网络的方法已经被利用作为一种有效的方法来解决逆问题,通过“实例学习”的方法。对SAFE-RAIL系统满足实时性能要求的能力进行了研究。系统的可操作性和成本效益的实施问题也得到了深入的解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An innovative on-board processor for the real-time GPR monitoring of railway substructure conditions
The SAFE-RAIL system and the relevant processing unit are hereafter described as a success case for the solution of an electromagnetic inverse problem in real-time applications. The SAFE-RAIL system on-board processing unit is conceived for providing functionalities for real-time exploitation of raw data deriving from microwave sensing action through innovative GPR equipment. In particular, the main objective, as per European STREP project SAFE-RAIL statements, is focused on automatic interpretation of microwave sensed data relevant to rail-track subsurface, aiming at characterizing the ballast and sub-ballast layer properties with consequent extraction in real-time of geophysical parameters. A neural network based approach has been exploited as an efficient way for solving the inverse problem through a "learning-by-examples" approach. The capability of the SAFE-RAIL system in matching real-time performance requirements has been investigated. System operability and cost-effective implementation issues have also been deeply addressed.
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