Senkans Ugis, Silkans Nauris, Spolitis Sandis, Braunfelds Janis
Institute of Photonics, Electronics and Telecommunications, Riga Technical University, LV-1048 Riga, Latvia.
Fiber Optical Sensor Research Group (RTU FiberSens), Riga Technical University, Azenes street 12, LV-1048 Riga, Latvia.
Sensors (Basel). 2025 Aug 25;25(17):5283. doi: 10.3390/s25175283.
This study focuses on a comprehensive analysis of the common methods for road infrastructure monitoring, as well as the perspective of various fiber-optic sensor (FOS) realization solutions in road monitoring applications. Fiber-optic sensors are a topical technology that ensures multiple advantages such as passive nature, immunity to electromagnetic interference, multiplexing capabilities, high sensitivity, and spatial resolution, as well as remote operation and multiple physical parameter monitoring, hence offering embedment potential within the road pavement structure for needed smart road solutions. The main key factors that affect FOS-based road monitoring scenarios and configurations are analyzed within this review. One such factor is technology used for optical sensing-fiber Bragg grating (FBG), Brillouin, Rayleigh, or Raman-based sensing. A descriptive comparison is made comparing typical sensitivity, spatial resolution, measurement distance, and applications. Technological approaches for monitoring physical parameters, such as strain, temperature, vibration, humidity, and pressure, as a means of assessing road infrastructure integrity and smart application integration, are also evaluated. Another critical aspect concerns spatial positioning, focusing on the point, quasi-distributed, and distributed methodologies. Lastly, the main topical FOS-based application areas are discussed, analyzed, and evaluated.
本研究聚焦于对道路基础设施监测常用方法的全面分析,以及各种光纤传感器(FOS)在道路监测应用中的实现方案视角。光纤传感器是一项热门技术,具有无源特性、抗电磁干扰、复用能力、高灵敏度、空间分辨率以及远程操作和多物理参数监测等多种优势,因此在道路路面结构中具有为所需智能道路解决方案提供嵌入的潜力。本综述分析了影响基于FOS的道路监测场景和配置的主要关键因素。其中一个因素是用于光学传感的技术——光纤布拉格光栅(FBG)、布里渊、瑞利或拉曼传感。对典型灵敏度、空间分辨率、测量距离和应用进行了描述性比较。还评估了监测物理参数(如应变、温度、振动、湿度和压力)的技术方法,以此作为评估道路基础设施完整性和智能应用集成的手段。另一个关键方面涉及空间定位,重点关注点式、准分布式和分布式方法。最后,对基于FOS的主要热门应用领域进行了讨论、分析和评估。