• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于手机的交通标志杆健康监测便捷方法及应用

The convenient method and application for monitoring the health of traffic sign poles based on mobile phone.

作者信息

Xie Xiao, Chen Yumin, Li Changchun, Guo Junwei, Sarajpoor Saeed

机构信息

College of Civil and Transportation Engineering, Hohai University, Nanjing, 210098, China.

Institute for Smart City of Chongqing University in Liyang, Liyang, 213300, China.

出版信息

Sci Rep. 2023 Nov 23;13(1):20585. doi: 10.1038/s41598-023-47400-5.

DOI:10.1038/s41598-023-47400-5
PMID:37996450
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10667241/
Abstract

Traffic sign poles are crucial components of the highway system, and their maintenance mainly relies on the subjective judgment of staff, which is low-efficiency and will lead to mistaken inspections. This paper proposes a convenient and effective method to monitor the health of sign poles by using a mobile phone. It is unknown whether a mobile phone can be used as a conventional acceleration sensor. Therefore, the performance of the mobile phone was initially tested to ensure its suitability for acquiring the acceleration data of the traffic sign pole. The results show that the acceleration sensor of mobile phones is high-performance and can be used as a traditional acceleration sensor under the similar sampling frequency. The mobile phone can measure the 1st, 2nd and 5th natural frequencies of the traffic sign pole. Although the 1st and 5th natural frequencies have a large error with simulation, the 2nd natural frequency is accurate and stable. The looseness of the base connection greatly impacts on the 2nd natural frequency, which can be used as a measure of the loose base connection. The 2nd natural frequency was measured for 21 times and found to conform to a normal distribution. The relationship between the 2nd natural frequency and base connection loosening was investigated, which fitted to the equation. The fitting result is good and can be used to predict the degree of sign pole base connection loosening. Therefore, the mobile phone based convenient health monitoring method for traffic sign poles is feasible.

摘要

交通标志杆是公路系统的关键部件,其维护主要依赖工作人员的主观判断,效率低下且会导致检查失误。本文提出一种利用手机监测标志杆健康状况的便捷有效方法。手机是否能作为传统加速度传感器尚不清楚。因此,首先对手机性能进行测试,以确保其适用于获取交通标志杆的加速度数据。结果表明,手机加速度传感器性能良好,在相似采样频率下可作为传统加速度传感器使用。手机能测量交通标志杆的一阶、二阶和五阶固有频率。虽然一阶和五阶固有频率与模拟结果有较大误差,但二阶固有频率准确且稳定。底座连接松动对二阶固有频率影响很大,可将二阶固有频率作为衡量底座连接松动的指标。对二阶固有频率进行了21次测量,发现其符合正态分布。研究了二阶固有频率与底座连接松动之间的关系,并拟合出方程。拟合效果良好,可用于预测标志杆底座连接松动程度。因此,基于手机的交通标志杆便捷健康监测方法是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/836380b52e51/41598_2023_47400_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/94c533aee565/41598_2023_47400_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/82fae41d3743/41598_2023_47400_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/450c005a5556/41598_2023_47400_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/704c8fbb3d0b/41598_2023_47400_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/0ec27d65007c/41598_2023_47400_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/bdc17f3cf64b/41598_2023_47400_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/323115c1307f/41598_2023_47400_Fig7a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/89d8371d7d88/41598_2023_47400_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/00e09b005eee/41598_2023_47400_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/99fd28d12b5f/41598_2023_47400_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/7615f2271319/41598_2023_47400_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/f37dfabf129f/41598_2023_47400_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/836380b52e51/41598_2023_47400_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/94c533aee565/41598_2023_47400_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/82fae41d3743/41598_2023_47400_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/450c005a5556/41598_2023_47400_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/704c8fbb3d0b/41598_2023_47400_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/0ec27d65007c/41598_2023_47400_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/bdc17f3cf64b/41598_2023_47400_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/323115c1307f/41598_2023_47400_Fig7a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/89d8371d7d88/41598_2023_47400_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/00e09b005eee/41598_2023_47400_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/99fd28d12b5f/41598_2023_47400_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/7615f2271319/41598_2023_47400_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/f37dfabf129f/41598_2023_47400_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f56/10667241/836380b52e51/41598_2023_47400_Fig13_HTML.jpg

相似文献

1
The convenient method and application for monitoring the health of traffic sign poles based on mobile phone.基于手机的交通标志杆健康监测便捷方法及应用
Sci Rep. 2023 Nov 23;13(1):20585. doi: 10.1038/s41598-023-47400-5.
2
Total recall in the SCAMP cohort: Validation of self-reported mobile phone use in the smartphone era.总体召回率在 SCAMP 队列中:验证在智能手机时代自我报告的手机使用情况。
Environ Res. 2018 Feb;161:1-8. doi: 10.1016/j.envres.2017.10.034.
3
4
Developing Multipollutant Exposure Indicators of Traffic Pollution: The Dorm Room Inhalation to Vehicle Emissions (DRIVE) Study.开发交通污染的多污染物暴露指标:宿舍吸入车辆排放(DRIVE)研究。
Res Rep Health Eff Inst. 2018 Apr;2018(196):3-75.
5
2Loud?: Community mapping of exposure to traffic noise with mobile phones.噪音太大?:利用手机进行交通噪音暴露的社区地图绘制。
Environ Monit Assess. 2014 Oct;186(10):6193-206. doi: 10.1007/s10661-014-3848-9. Epub 2014 Jun 12.
6
A parametric duration model of the reaction times of drivers distracted by mobile phone conversations.驾驶员在手机通话中分心时的反应时间的参数持续时间模型。
Accid Anal Prev. 2014 Jan;62:42-53. doi: 10.1016/j.aap.2013.09.010. Epub 2013 Sep 21.
7
Mobile phone use while driving in a sample of Spanish university workers.西班牙大学教职工样本中开车时使用手机的情况。
Accid Anal Prev. 2007 Mar;39(2):347-55. doi: 10.1016/j.aap.2006.08.006. Epub 2006 Oct 10.
8
Association between mobile phone traffic volume and road crash fatalities: A population-based case-crossover study.手机话务量与道路交通事故死亡人数之间的关联:基于人群的病例交叉研究。
Accid Anal Prev. 2018 Jun;115:25-33. doi: 10.1016/j.aap.2018.03.008. Epub 2018 Mar 12.
9
The effectiveness of introducing detection cameras on compliance with mobile phone and seatbelt laws: a before-after study among drivers in Riyadh, Saudi Arabia.引入检测摄像头对遵守手机和安全带法律的有效性:沙特阿拉伯利雅得司机的前后对照研究。
Inj Epidemiol. 2018 Aug 6;5(1):31. doi: 10.1186/s40621-018-0161-z.
10
Investigating the impact of environmental and temporal features on mobile phone distracted driving behavior using phone use data.利用手机使用数据研究环境和时间特征对手机分心驾驶行为的影响。
Accid Anal Prev. 2023 Feb;180:106925. doi: 10.1016/j.aap.2022.106925. Epub 2022 Dec 10.

本文引用的文献

1
Remaining capacity estimation of lithium-ion batteries based on the constant voltage charging profile.基于恒压充电曲线的锂离子电池剩余容量估计。
PLoS One. 2018 Jul 6;13(7):e0200169. doi: 10.1371/journal.pone.0200169. eCollection 2018.
2
Single Image Super-Resolution Using Gaussian Process Regression With Dictionary-Based Sampling and Student- ${t}$ Likelihood.基于字典采样和学生-${t}$似然的高斯过程回归的单幅图像超分辨率
IEEE Trans Image Process. 2017 Jul;26(7):3556-3568. doi: 10.1109/TIP.2017.2700725. Epub 2017 May 3.
3
Image Restoration Using Gaussian Mixture Models With Spatially Constrained Patch Clustering.
基于空间约束补丁聚类的高斯混合模型图像恢复。
IEEE Trans Image Process. 2015 Nov;24(11):3624-36. doi: 10.1109/TIP.2015.2447836. Epub 2015 Jun 19.