An Android Sensors-Based Portable Road Health Monitoring System Utilizing Measurement Uncertainty Analysis

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering Pub Date : 2024-06-04 DOI:10.1115/1.4065664

Yiping Wang, Xixi Geng, Pengfei Ma, Deren Zhang, Hongzheng Shi, Junyu Li, Weibing Peng, Yi Zhang

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Abstract

Road health monitoring systems aim to obtain the technical indexes of roads, and then analyze the usage and the degree of damage of the roads, which can provide an important basis for road construction, maintenance, and management. Road roughness is one of the main technical indexes for road quality evaluation and road health monitoring. This study built a system and implemented it as an application to measure and analyze road longitudinal profiles simply and conveniently using the sensors in a mobile phone. The application uses the accelerometer sensor and the gravity sensor to obtain vertical acceleration by a projection method, then denoises through empirical mode decompositions and a Butterworth filter, which has a repeated measurement error of 11%. Different filters were compared and the repeatability, accuracy, robustness, and effectiveness of the system were analyzed. An index to evaluated road longitudinal profiles is given, so that the results can be analyzed and viewed interactively in the application, and a series of cases are given in this paper.

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利用测量不确定性分析的基于安卓传感器的便携式道路健康监测系统

道路健康监测系统旨在获取道路的技术指标，进而分析道路的使用情况和损坏程度，为道路建设、养护和管理提供重要依据。道路粗糙度是道路质量评价和道路健康监测的主要技术指标之一。本研究建立了一个系统，并将其实施为一个应用程序，利用手机中的传感器简单方便地测量和分析道路纵剖面。该应用程序使用加速度传感器和重力传感器，通过投影法获得垂直加速度，然后通过经验模式分解和巴特沃斯滤波器进行去噪，重复测量误差为 11%。对不同的滤波器进行了比较，并分析了系统的可重复性、准确性、鲁棒性和有效性。本文给出了评估道路纵剖面的索引，以便在应用程序中以交互方式分析和查看结果，并给出了一系列案例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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