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液面三维面型测量技术综述
引用本文:周文俊,冯诗愚,李超越,彭浩,潘俊.液面三维面型测量技术综述[J].航空动力学报,2022,37(2):375-382.
作者姓名:周文俊  冯诗愚  李超越  彭浩  潘俊
作者单位:1.南京航空航天大学 航空学院 飞行器环境控制与生命保障工业和信息化部重点实验室,南京 210016
基金项目:国家自然科学基金委员会-中国民用航空局民航联合研究基金(U1933121); 中央高校基本科研业务费专项资金; 江苏高校优势学科建设工程; 金陵科技学院高层次人才科研启动基金(jit-b-202044);南京航空航天大学研究生创新基地(实验室)开放基金(kfjj20200110)
摘    要:综述了目前被用于液体液面三维重建的光学测量方法,目的是将光学三维测量方法用于飞机燃油箱中来测量油箱油位和燃油晃动时液面的三维形态。主要介绍了立体视觉匹配法、条纹分析法和条纹放置法的基本原理,简述了3种方法在测量液面面形的应用场景和发展现状,分析了3种方法在不同场景使用时的优劣。总结和归纳了液面面型测量技术目前面临的挑战,包括了对透明液体液面三维面型测量研究相对较少、传统三维测量方法无法直接使用、求解速度是否能达到实时动态测量,表明了光学三维测量技术应用于飞机燃油箱油位测量和油面检测将朝着更加快速、精确和智能的方向发展。 

关 键 词:油位测量    燃油量测量    光学测量    结构光    液面三维(3D)重建
收稿时间:2021/3/2 0:00:00

Summary of three-dimensional measurement technology of liquid surface
ZHOU Wenjun,FENG Shiyu,LI Chaoyue,PENG Hao,PAN Jun.Summary of three-dimensional measurement technology of liquid surface[J].Journal of Aerospace Power,2022,37(2):375-382.
Authors:ZHOU Wenjun  FENG Shiyu  LI Chaoyue  PENG Hao  PAN Jun
Abstract:The optical measurement methods used in the three-dimensional reconstruction of liquid level was summarized to use the optical three-dimensional measurement method in the aircraft fuel tank to measure the three-dimensional shape of the liquid level when the fuel tank and fuel sloshed.The basic principles of stereo vision matching method,fringe analysis method,and fringe placement method were mainly introduced,the application scenarios and development status of the three methods in measuring the liquid surface were briefly described,and the advantages and disadvantages of the three methods in different scenes were analyzed.The challenges of liquid surface measurement technology were also summarized,including the relative lack of research on transparent liquid three-dimensional surface measurement,the fact that traditional three-dimensional measurement method can not be used directly,and whether the solution speed can achieve real-time dynamic measurement.It shows that the application of optical 3D measurement technology to aircraft fuel tank level measurement and oil level detection will develop towards a faster,more accurate and intelligent direction. 
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