• 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

智能压实分析仪:用于道路材料压实实时记录、监测和分析的多功能平台。

An Intelligent Compaction Analyzer: A Versatile Platform for Real-Time Recording, Monitoring, and Analyzing of Road Material Compaction.

作者信息

Ranasinghe Rajitha, Sounthararajah Arooran, Kodikara Jayantha

机构信息

SPARC Hub, Department of Civil Engineering, Monash University, Clayton Campus, Clayton, VIC 3800, Australia.

出版信息

Sensors (Basel). 2023 Aug 29;23(17):7507. doi: 10.3390/s23177507.

DOI:10.3390/s23177507
PMID:37687964
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10490652/
Abstract

Intelligent compaction (IC) is a technology that uses non-contact sensors to monitor and record the compaction level of geomaterials in real-time during road construction. However, current IC devices have several limitations: (i) they are unable to visualize or compare multiple intelligent compaction measurement values (ICMVs) in real-time during compaction; (ii) they are not retrofittable to different conventional rollers that exist in the field; (iii) they do not incorporate corrections for ICMVs reflecting variable field conditions; (iv) they are unable to integrate construction specifications as needed for performance-based compaction; and (v) they do not record all the key roller parameters for further compaction analysis. To address these issues, an innovative retrofittable platform with cutting-edge hardware and software was developed. This platform, called the intelligent compaction analyzer (ICA) platform, is effective at calculating conventional acceleration amplitude-based ICMVs and stiffness-based parameters and at displaying the spatial distributions of these parameters in a color-coded map in real-time during compaction.

摘要

智能压实(IC)是一种利用非接触式传感器在道路施工过程中实时监测和记录土工材料压实程度的技术。然而,当前的智能压实设备存在若干局限性:(i)它们无法在压实过程中实时可视化或比较多个智能压实测量值(ICMV);(ii)它们无法改装到现场现有的不同传统压路机上;(iii)它们没有对反映可变现场条件的ICMV进行校正;(iv)它们无法根据基于性能的压实要求整合施工规范;以及(v)它们没有记录所有关键压路机参数以供进一步的压实分析。为了解决这些问题,开发了一个具有前沿硬件和软件的创新型可改装平台。这个平台称为智能压实分析仪(ICA)平台,它能够有效地计算基于传统加速度幅值的ICMV和基于刚度的参数,并在压实过程中实时以彩色编码地图显示这些参数的空间分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/c2d3f43c7e9c/sensors-23-07507-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/d4d481cf6551/sensors-23-07507-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/f772e5baf9c4/sensors-23-07507-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/74a32855ab69/sensors-23-07507-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/a2c7ef527ca4/sensors-23-07507-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/f31675033c2e/sensors-23-07507-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/2e082162d9ff/sensors-23-07507-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/c2d3f43c7e9c/sensors-23-07507-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/d4d481cf6551/sensors-23-07507-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/f772e5baf9c4/sensors-23-07507-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/74a32855ab69/sensors-23-07507-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/a2c7ef527ca4/sensors-23-07507-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/f31675033c2e/sensors-23-07507-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/2e082162d9ff/sensors-23-07507-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db08/10490652/c2d3f43c7e9c/sensors-23-07507-g007.jpg

相似文献

1
An Intelligent Compaction Analyzer: A Versatile Platform for Real-Time Recording, Monitoring, and Analyzing of Road Material Compaction.智能压实分析仪:用于道路材料压实实时记录、监测和分析的多功能平台。
Sensors (Basel). 2023 Aug 29;23(17):7507. doi: 10.3390/s23177507.
2
Recent Development in Intelligent Compaction for Asphalt Pavement Construction: Leveraging Smart Sensors and Machine Learning.沥青路面施工智能压实的最新进展:利用智能传感器和机器学习
Sensors (Basel). 2024 Apr 26;24(9):2777. doi: 10.3390/s24092777.
3
Development of soil compaction analysis software (SCAN) integrating a low cost GPS receiver and compactometer.开发土壤紧实度分析软件 (SCAN),集成低成本 GPS 接收器和紧实度计。
Sensors (Basel). 2012;12(3):2351-72. doi: 10.3390/s120302351. Epub 2012 Feb 23.
4
Smart Device-Supported BDS/GNSS Real-Time Kinematic Positioning for Sub-Meter-Level Accuracy in Urban Location-Based Services.智能设备支持的北斗卫星导航系统/全球导航卫星系统实时动态定位用于城市基于位置服务中的亚米级精度
Sensors (Basel). 2016 Dec 21;16(12):2201. doi: 10.3390/s16122201.
5
A Fusion Positioning System Based on Camera and LiDAR for Unmanned Rollers in Tunnel Construction.一种基于相机和激光雷达的隧道施工无人压路机融合定位系统。
Sensors (Basel). 2024 Jul 7;24(13):4408. doi: 10.3390/s24134408.
6
Driving Behavior Analysis of City Buses Based on Real-Time GNSS Traces and Road Information.基于实时 GNSS 轨迹和道路信息的城市公交车驾驶行为分析。
Sensors (Basel). 2021 Jan 20;21(3):687. doi: 10.3390/s21030687.
7
Rigorous Performance Evaluation of Smartphone GNSS/IMU Sensors for ITS Applications.用于智能交通系统应用的智能手机全球导航卫星系统/惯性测量单元传感器的严格性能评估
Sensors (Basel). 2016 Aug 5;16(8):1240. doi: 10.3390/s16081240.
8
Open core control software for surgical robots.手术机器人的开源核心控制软件。
Int J Comput Assist Radiol Surg. 2010 May;5(3):211-20. doi: 10.1007/s11548-009-0388-9. Epub 2009 Jul 28.
9
A New Method for Compaction Quality Evaluation of Asphalt Mixtures with the Intelligent Aggregate (IA).一种利用智能集料(IA)评估沥青混合料压实质量的新方法。
Materials (Basel). 2021 May 6;14(9):2422. doi: 10.3390/ma14092422.
10
Recording human electrocorticographic (ECoG) signals for neuroscientific research and real-time functional cortical mapping.记录用于神经科学研究和实时功能性皮层图谱绘制的人类皮层脑电图(ECoG)信号。
J Vis Exp. 2012 Jun 26(64):3993. doi: 10.3791/3993.

引用本文的文献

1
Recent Development in Intelligent Compaction for Asphalt Pavement Construction: Leveraging Smart Sensors and Machine Learning.沥青路面施工智能压实的最新进展:利用智能传感器和机器学习
Sensors (Basel). 2024 Apr 26;24(9):2777. doi: 10.3390/s24092777.

本文引用的文献

1
A hybrid optical-wireless network for decimetre-level terrestrial positioning.一种用于分米级地面定位的混合光-无线网络。
Nature. 2022 Nov;611(7936):473-478. doi: 10.1038/s41586-022-05315-7. Epub 2022 Nov 16.
2
Facilitating chemical and biochemical experiments with electronic microcontrollers and single-board computers.利用电子微控制器和单板计算机促进化学和生化实验。
Nat Protoc. 2020 Mar;15(3):925-990. doi: 10.1038/s41596-019-0272-1. Epub 2020 Jan 29.
3
The DIY electronics transforming research.改变研究的 DIY 电子产品。
Nature. 2017 Apr 5;544(7648):125-126. doi: 10.1038/544125a.
4
Co-Creating the Cities of the Future.共同创造未来城市。
Sensors (Basel). 2016 Nov 23;16(11):1971. doi: 10.3390/s16111971.
5
Global Ionospheric Modelling using Multi-GNSS: BeiDou, Galileo, GLONASS and GPS.利用多 GNSS 进行全球电离层建模:北斗、伽利略、格洛纳斯和 GPS。
Sci Rep. 2016 Sep 15;6:33499. doi: 10.1038/srep33499.
6
Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP.惯性导航系统紧密辅助的多全球导航卫星系统电离层约束精密单点定位的实时动态定位
Sci Rep. 2016 Jul 29;6:30488. doi: 10.1038/srep30488.
7
Coefficient of cross correlation and the time domain correspondence.互相关系数与时域对应关系。
J Electromyogr Kinesiol. 1999 Dec;9(6):385-9. doi: 10.1016/s1050-6411(99)00012-7.