传感技术学报2016，Vol.29Issue(11)：1779-1784,6.DOI:10.3969/j.issn.1004-1699.2016.11.025
基于图像识别的喷嘴流量试验台油位检测系统
Nozzle Flow Test Bench Level Detection System Based on Image Recognition
摘要
Abstract
Considering the use static volumetric method of nozzle flow test rig using the magnetostrictive liquid level sensor at room temperature with high temperature,but the temperature is higher than room temperature,will pro⁃duce great temperature drift can not guarantee the measurement precision of the test system. In this paper,the im⁃age recognition applications in nozzle flow measurement system,is discharged from the nozzle slide oil volume to carry on the automatic recognition of the ignore effects of temperature changes,and the sensor precision on the mea⁃surement accuracy. Through image filtering,segmentation,recognition,digital calibration scale line recognition and recognition level automatic measurement of oil level. By comparing the experimental method and the artificial reading,the magnetostrictive liquid level sensor and the temperature compensated sensor,the sensor readings were compared. The results show that using image recognition technology of flow test bench test results and real val⁃ues closest to the can effectively improve the detection accuracy and efficiency,reduce the workload of the test cost and test personnel and the test result is most reliable.关键词
喷嘴流量试验/磁致伸缩液位传感器/图像识别/油位检测Key words
Nozzle flow test/magnetostrictive liquid level sensor/image recognition/level detection分类
航空航天引用本文复制引用
谢苗,谢春雪,毛君,刘治翔..基于图像识别的喷嘴流量试验台油位检测系统[J].传感技术学报,2016,29(11):1779-1784,6.基金项目
辽宁省教育厅创新团队项目（LT2013009）；辽宁省煤矿液压技术与装备工程研究中心开放基金项目（CMHT-201206）；辽宁省教育厅项目 （）
