首页|基于汉宁窗变密度条纹的储罐沉降视觉测量方法

基于汉宁窗变密度条纹的储罐沉降视觉测量方法

Vision measurement system for tank settlement using Hanning-window changing density fringes

扫码查看
针对储罐沉降问题,提出一种基于汉宁窗变密度条纹和二维视觉的储罐沉降测量系统.将设计的汉宁窗变密度条纹附于被测储罐的表面,在一定距离处通过远焦成像相机对表面的条纹进行实时采集,再通过特定的图像处理算法对图像进行处理以提取储罐的沉降位移.通过SOLIDWORKS三维建模、运动仿真和图像成像模块模拟了不同条件下储罐沉降的图像序列,对主要的测量性能影响因素、测量可行性和准确性进行了模拟分析.搭建了储罐沉降模拟实验测量系统,对系统的测量性能进行了实验分析.结果表明,本测量方法可实现储罐沉降位移的实时监测,在7.5 m距离外沉降位移测量精度优于10 μm.
A novel measurement system based on Hanning-window-changing density fringes and two-dimensional vision was proposed for monitoring the tank settlement.The artificial Hanning-window-changing density fringes were attached to the surface of the tested storage tank,and the surface fringes were collected in real time by a far-focus imaging camera at a certain distance,and then the images were processed by a specific image processing algorithm to extract the settlement displacement of the storage tank.The image sequences of tank settlement under different conditions were simulated by SOLIDWORKS 3D modeling,motion simulation and image imaging module,and the main measurement performance influencing factors,measurement feasibility and accuracy were simulated and analyzed.The simulated experimental measurement system of tank settlement was constructed,and its measurement performance was analyzed experimentally.The results show that the proposed system can realize real-time monitoring of the tank settlement displacement,and the measurement accuracy can be better than 10 μm at a distance of 7.5 m.

Hanning-window density fringesfar-focus imaging cameratank settlementvision monitoring

伏喜斌、魏崴、黄学斌、刘东明、钟剑锋、王东、钟舜聪、张焱

展开 >

厦门市特种设备检验检测院,福建厦门 361000

福州大学机械工程及自动化学院,福建福州 350116

中国航空油料有限责任公司厦门分公司,福建厦门 361000

浙江创力电子股份有限公司,浙江温州 325025

展开 >

汉宁窗变密度条纹 远焦成像相机 储罐沉降 视觉监测

国家自然科学基金国家自然科学基金国家自然科学基金中国博士后科学基金福建省产业技术开发与应用计划引导性项目闽江学院福建省信息处理与智能控制重点实验室开放课题厦门特检院科研项目

5190510252275523522750962019M6622262021H0012MJUKF-IPIC202005XMTJ2020GL001

2024

应用光学
中国兵工学会 中国兵器工业第二0五研究所

应用光学

CSTPCD北大核心
影响因子:0.517
ISSN:1002-2082
年,卷(期):2024.45(1)
  • 4