基于机器视觉的飞机总装测试显控板状态自动识别

Automatic Recognition of Display and Control Board Status for Aircraft Assembly Testing Based on Machine Vision

飞机总装配阶段的大量机载功能测试需通过驾驶舱内部显控板状态读取反馈结果,传统方式采用人员在环的开环测试方法,存在效率较低、准确率受人为影响、数据无法溯源等问题。为解决上述问题,提出了一种基于机器视觉的飞机显控板状态识别方法,用于在飞机总装测试阶段代替人工读取记录操作,由机器视觉系统自动获取和判读驾驶舱内部显控板状态信息。经测试,采用该方法可以准确判读模拟显示页面各项状态参数,能够显著提高飞机总装阶段机载功能测试效率和准确率。

A large number of airborne functional testings in the aircraft general assembly stage need to read the feedback results through the status of the display and control board inside the cockpit.The traditional open-loop test method of personnel in the loop is adopted,which has some problems,such as low efficiency,artificial influence on the accuracy and inability to trace the source of data.In order to solve the above problems,a aircraft display and control board status recognition method based on machine vision is proposed,which is used to replace the manual reading and recording operation during the aircraft assembly testing stage.The machine vision system automatically obtains and judges the status of the display and control board information inside the cockpit.After testing,this method can accurately interpret the status parameters of the simulation display page,which can significantly improve the efficiency and accuracy of the airborne function testing during the aircraft assembly stage.