• 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

通过路面振动物联网监测系统实现实时高效的交通信息采集

Real-Time and Efficient Traffic Information Acquisition via Pavement Vibration IoT Monitoring System.

作者信息

Ye Zhoujing, Yan Guannan, Wei Ya, Zhou Bin, Li Ning, Shen Shihui, Wang Linbing

机构信息

National Center for Materials Service Safety, University of Science and Technology Beijing, Haidian District, Beijing 100083, China.

Department of Civil Engineering, Tsinghua University, Haidian District, Beijing 100084, China.

出版信息

Sensors (Basel). 2021 Apr 10;21(8):2679. doi: 10.3390/s21082679.

DOI:10.3390/s21082679
PMID:33920249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8069318/
Abstract

Traditional road-embedded monitoring systems for traffic monitoring have the disadvantages of a short life, high energy consumption and data redundancy, resulting in insufficient durability and high cost. In order to improve the durability and efficiency of the road-embedded monitoring system, a pavement vibration monitoring system is developed based on the Internet of things (IoT). The system includes multi-acceleration sensing nodes, a gateway, and a cloud platform. The key design principles and technologies of each part of the system are proposed, which provides valuable experience for the application of IoT monitoring technology in road infrastructures. Characterized by low power consumption, distributed computing, and high extensibility properties, the pavement vibration IoT monitoring system can realize the monitoring, transmission, and analysis of pavement vibration signal, and acquires the real-time traffic information. This road-embedded system improves the intellectual capacity of road infrastructure and is conducive to the construction of a new generation of smart roads.

摘要

传统的用于交通监测的道路嵌入式监测系统存在寿命短、能耗高和数据冗余的缺点，导致耐久性不足且成本高昂。为了提高道路嵌入式监测系统的耐久性和效率，基于物联网（IoT）开发了一种路面振动监测系统。该系统包括多加速度传感节点、一个网关和一个云平台。提出了系统各部分的关键设计原则和技术，为物联网监测技术在道路基础设施中的应用提供了宝贵经验。路面振动物联网监测系统具有低功耗、分布式计算和高扩展性等特点，能够实现路面振动信号的监测、传输和分析，并获取实时交通信息。这种道路嵌入式系统提高了道路基础设施的智能化水平，有利于新一代智能道路的建设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/4533e93c1c5b/sensors-21-02679-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/565ec087a191/sensors-21-02679-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/7d8f9bfb8403/sensors-21-02679-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/dd759079528b/sensors-21-02679-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/00d2242d8a68/sensors-21-02679-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/0dd7b4e0a314/sensors-21-02679-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/bf10d32a9626/sensors-21-02679-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/8f7aed6f6b4a/sensors-21-02679-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/1889e8512bc8/sensors-21-02679-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/b31ecbcf8768/sensors-21-02679-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/687725765ad8/sensors-21-02679-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/9b74feaf8187/sensors-21-02679-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/ab36feb61529/sensors-21-02679-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/4533e93c1c5b/sensors-21-02679-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/565ec087a191/sensors-21-02679-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/7d8f9bfb8403/sensors-21-02679-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/dd759079528b/sensors-21-02679-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/00d2242d8a68/sensors-21-02679-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/0dd7b4e0a314/sensors-21-02679-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/bf10d32a9626/sensors-21-02679-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/8f7aed6f6b4a/sensors-21-02679-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/1889e8512bc8/sensors-21-02679-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/b31ecbcf8768/sensors-21-02679-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/687725765ad8/sensors-21-02679-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/9b74feaf8187/sensors-21-02679-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/ab36feb61529/sensors-21-02679-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/245e/8069318/4533e93c1c5b/sensors-21-02679-g013.jpg

相似文献

1
Real-Time and Efficient Traffic Information Acquisition via Pavement Vibration IoT Monitoring System.通过路面振动物联网监测系统实现实时高效的交通信息采集
Sensors (Basel). 2021 Apr 10;21(8):2679. doi: 10.3390/s21082679.
2
The Development and Field Evaluation of an IoT System of Low-Power Vibration for Bridge Health Monitoring.物联网系统在桥梁健康监测中的低功耗振动开发与现场评估。
Sensors (Basel). 2019 Mar 11;19(5):1222. doi: 10.3390/s19051222.
3
Developing IoT Sensing System for Construction-Induced Vibration Monitoring and Impact Assessment.开发用于施工诱发振动监测和影响评估的物联网感知系统。
Sensors (Basel). 2020 Oct 27;20(21):6120. doi: 10.3390/s20216120.
4
Development of Real-Time Monitoring System Based on IoT Technology for Curing Compound Application Process during Cement Concrete Pavement Construction.基于物联网技术的水泥混凝土路面施工中养护剂涂抹过程实时监测系统的开发
Sensors (Basel). 2023 Sep 30;23(19):8187. doi: 10.3390/s23198187.
5
Internet-of-Things (IoT) Platform for Road Energy Efficiency Monitoring.物联网（IoT）平台用于道路能效监测。
Sensors (Basel). 2023 Mar 2;23(5):2756. doi: 10.3390/s23052756.
6
A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling.智慧城市中交通管理的统一视角：物联网驱动的道路交通建模新环境。
Sensors (Basel). 2016 Nov 8;16(11):1872. doi: 10.3390/s16111872.
7
Self-Powered Wireless Temperature and Vibration Monitoring System by Weak Vibrational Energy for Industrial Internet of Things.用于工业物联网的基于微弱振动能量的自供电无线温度和振动监测系统
ACS Appl Mater Interfaces. 2023 Aug 30;15(34):40569-40578. doi: 10.1021/acsami.3c08016. Epub 2023 Aug 17.
8
Smart Industrial IoT Monitoring and Control System Based on UAV and Cloud Computing Applied to a Concrete Plant.基于无人机和云计算的智能工业物联网监控与控制系统应用于混凝土搅拌站
Sensors (Basel). 2019 Jul 28;19(15):3316. doi: 10.3390/s19153316.
9
Performance Testing of Micro-Electromechanical Acceleration Sensors for Pavement Vibration Monitoring.用于路面振动监测的微机电加速度传感器性能测试
Micromachines (Basel). 2023 Jan 7;14(1):153. doi: 10.3390/mi14010153.
10
Edge Computing Based IoT Architecture for Low Cost Air Pollution Monitoring Systems: A Comprehensive System Analysis, Design Considerations & Development.基于边缘计算的物联网架构用于低成本空气污染监测系统：全面系统分析、设计考虑因素与开发。
Sensors (Basel). 2018 Sep 10;18(9):3021. doi: 10.3390/s18093021.

引用本文的文献

1
Enhancing Last-Mile Logistics: AI-Driven Fleet Optimization, Mixed Reality, and Large Language Model Assistants for Warehouse Operations.加强最后一英里物流：人工智能驱动的车队优化、混合现实以及用于仓库运营的大语言模型助手。
Sensors (Basel). 2025 Apr 24;25(9):2696. doi: 10.3390/s25092696.
2
Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring.用于路面监测的基于Zigbee的MEMS加速度计无线传感器网络
Sensors (Basel). 2024 Oct 9;24(19):6487. doi: 10.3390/s24196487.
3
Research on the Reliability of a Core Control Unit of Highway Electromechanical Equipment Based on Virtual Sensor Data.

本文引用的文献

1
Estimation of the Vehicle Speed Using Cross-Correlation Algorithms and MEMS Wireless Sensors.使用互相关算法和MEMS无线传感器估计车速
Sensors (Basel). 2021 Mar 2;21(5):1721. doi: 10.3390/s21051721.
2
Monitoring Traffic Information with a Developed Acceleration Sensing Node.利用已开发的加速度传感节点监测交通信息。
Sensors (Basel). 2017 Dec 5;17(12):2817. doi: 10.3390/s17122817.
3
A Novel Vehicle Classification Using Embedded Strain Gauge Sensors.一种使用嵌入式应变片传感器的新型车辆分类方法。
基于虚拟传感器数据的公路机电设备核心控制单元可靠性研究。
Sensors (Basel). 2022 Oct 13;22(20):7755. doi: 10.3390/s22207755.
4
Real-Time Learning and Monitoring System in Fighting against SARS-CoV-2 in a Private Indoor Environment.实时学习与监测系统在私人室内环境中抗击 SARS-CoV-2
Sensors (Basel). 2022 Sep 15;22(18):7001. doi: 10.3390/s22187001.
Sensors (Basel). 2008 Nov 5;8(11):6952-6971. doi: 10.3390/s8116952.