CN108896552A - 桥梁箱室内病害自动检测系统 - Google Patents
桥梁箱室内病害自动检测系统 Download PDFInfo
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- CN108896552A CN108896552A CN201810434566.3A CN201810434566A CN108896552A CN 108896552 A CN108896552 A CN 108896552A CN 201810434566 A CN201810434566 A CN 201810434566A CN 108896552 A CN108896552 A CN 108896552A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8874—Taking dimensions of defect into account
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112329531A (zh) * | 2020-09-30 | 2021-02-05 | 山东大学 | 用于管廊表观病害检测的线阵双目成像系统与工作方法 |
CN114002218A (zh) * | 2021-11-03 | 2022-02-01 | 河南易事建设工程有限公司 | 桥梁底部检测设备 |
CN116295020A (zh) * | 2023-05-22 | 2023-06-23 | 山东高速工程检测有限公司 | 一种桥梁病害定位方法及定位装置 |
CN117705800A (zh) * | 2023-11-23 | 2024-03-15 | 华南理工大学 | 一种基于导轨滑动的机械臂视觉桥梁检测系统及其控制方法 |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101713167A (zh) * | 2009-10-23 | 2010-05-26 | 周劲宇 | 桥梁结构健康监测车 |
CN102842203A (zh) * | 2012-09-04 | 2012-12-26 | 广东省公路管理局 | 基于视频图像的桥梁病害监测方法 |
CN103018255A (zh) * | 2012-12-05 | 2013-04-03 | 上海同岩土木工程科技有限公司 | 一种地铁隧道病害数据自动化采集方法 |
CN104568972A (zh) * | 2015-02-09 | 2015-04-29 | 中核华泰建设有限公司 | 一种混凝土桥梁底面裂缝检测装置 |
CN105178181A (zh) * | 2015-09-09 | 2015-12-23 | 郑州育才交通科技有限公司 | 快速移动桥梁安全智能视频检测系统装置 |
CN106284071A (zh) * | 2016-10-25 | 2017-01-04 | 郑州育才交通科技有限公司 | 桥梁病害智能视频检测系统 |
CN106677037A (zh) * | 2016-11-21 | 2017-05-17 | 同济大学 | 基于机器视觉的便携式沥青路面病害检测方法及装置 |
CN106885706A (zh) * | 2017-04-05 | 2017-06-23 | 西南交通大学 | 半自动多角度拍摄式隧道内壁病害检测实验小车 |
CN206470211U (zh) * | 2017-01-17 | 2017-09-05 | 南京火眼猴信息科技有限公司 | 一种地铁隧道病害检测装置 |
CN206618550U (zh) * | 2016-12-30 | 2017-11-07 | 上海浦江桥隧运营管理有限公司嘉青分公司 | 基于桥梁病害板梁扰度实时监测的装置 |
CN206650786U (zh) * | 2017-04-20 | 2017-11-17 | 云南省公路科学技术研究院 | 一种自动化快速桥梁外观检查设备 |
CN107642036A (zh) * | 2017-09-11 | 2018-01-30 | 中交第公路勘察设计研究院有限公司 | 桥梁快速可视化检测装置及其系统和方法 |
CN208969010U (zh) * | 2018-05-09 | 2019-06-11 | 赵启林 | 桥梁箱室内病害自动检测系统 |
-
2018
- 2018-05-09 CN CN201810434566.3A patent/CN108896552A/zh active Pending
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101713167A (zh) * | 2009-10-23 | 2010-05-26 | 周劲宇 | 桥梁结构健康监测车 |
CN102842203A (zh) * | 2012-09-04 | 2012-12-26 | 广东省公路管理局 | 基于视频图像的桥梁病害监测方法 |
CN103018255A (zh) * | 2012-12-05 | 2013-04-03 | 上海同岩土木工程科技有限公司 | 一种地铁隧道病害数据自动化采集方法 |
CN104568972A (zh) * | 2015-02-09 | 2015-04-29 | 中核华泰建设有限公司 | 一种混凝土桥梁底面裂缝检测装置 |
CN105178181A (zh) * | 2015-09-09 | 2015-12-23 | 郑州育才交通科技有限公司 | 快速移动桥梁安全智能视频检测系统装置 |
CN106284071A (zh) * | 2016-10-25 | 2017-01-04 | 郑州育才交通科技有限公司 | 桥梁病害智能视频检测系统 |
CN106677037A (zh) * | 2016-11-21 | 2017-05-17 | 同济大学 | 基于机器视觉的便携式沥青路面病害检测方法及装置 |
CN206618550U (zh) * | 2016-12-30 | 2017-11-07 | 上海浦江桥隧运营管理有限公司嘉青分公司 | 基于桥梁病害板梁扰度实时监测的装置 |
CN206470211U (zh) * | 2017-01-17 | 2017-09-05 | 南京火眼猴信息科技有限公司 | 一种地铁隧道病害检测装置 |
CN106885706A (zh) * | 2017-04-05 | 2017-06-23 | 西南交通大学 | 半自动多角度拍摄式隧道内壁病害检测实验小车 |
CN206650786U (zh) * | 2017-04-20 | 2017-11-17 | 云南省公路科学技术研究院 | 一种自动化快速桥梁外观检查设备 |
CN107642036A (zh) * | 2017-09-11 | 2018-01-30 | 中交第公路勘察设计研究院有限公司 | 桥梁快速可视化检测装置及其系统和方法 |
CN208969010U (zh) * | 2018-05-09 | 2019-06-11 | 赵启林 | 桥梁箱室内病害自动检测系统 |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112329531A (zh) * | 2020-09-30 | 2021-02-05 | 山东大学 | 用于管廊表观病害检测的线阵双目成像系统与工作方法 |
CN114002218A (zh) * | 2021-11-03 | 2022-02-01 | 河南易事建设工程有限公司 | 桥梁底部检测设备 |
CN116295020A (zh) * | 2023-05-22 | 2023-06-23 | 山东高速工程检测有限公司 | 一种桥梁病害定位方法及定位装置 |
CN116295020B (zh) * | 2023-05-22 | 2023-08-08 | 山东高速工程检测有限公司 | 一种桥梁病害定位方法及定位装置 |
CN117705800A (zh) * | 2023-11-23 | 2024-03-15 | 华南理工大学 | 一种基于导轨滑动的机械臂视觉桥梁检测系统及其控制方法 |
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Inventor after: Zhao Qilin Inventor after: Yang Ling Inventor after: Zhou Jianhua Inventor after: Zhu Bin Inventor after: Yin Haihua Inventor after: Zhou Wei Inventor after: Zhou Debao Inventor after: You Qimeng Inventor after: Wang Guojun Inventor after: Sun Chengqi Inventor before: Zhao Qilin Inventor before: Sun Chengqi Inventor before: Yang Ling Inventor before: Zhou Jianhua Inventor before: Zhu Bin Inventor before: Yin Haihua Inventor before: Rui Ting Inventor before: Zhou Wei Inventor before: Zhou Debao Inventor before: You Qimeng Inventor before: Wang Guojun |