A Laser Line Scanner Based Hole Position Correction Mechanism for Automatic Drilling and Riveting in Aircraft Assembly

The low-stiffness of aircraft skins may results in the differences between aircraft actual parts and their theoretical models,which will consequently affect the accuracy of automatic drilling and riveting in aircraft assembly.In this paper,a novel approach of hole position correction using laser line scanner(LLS)is proposed to assign a single row of holes on the parts’surfaces.First,we adopt a space circle fitting method and the random sample consensus(RANSAC)to obtain the precise coordinates of center of the datum holes’coordinates.Second,LLS is calibrated by the laser tracker,and the relations between the LLS coordinate system and the tool coordinate system(TCS)can be calculated.Third,the kinematics model of the automatic riveting machine is established based on a two-point referencing strategy proposed in this paper.Thus,the positions of the holes to be drilled can be adjusted.Finally,the experimental results show that in TCS the measurement error of LLS is less than 0.1 mm,and the correction error of the hole position is less than 0.5 mm,which demonstrates the reliability of our method.

Research on HJ-1A/B satellite data automatic geometric precision correction design

Developed independently by China,HJ-1A/B satellites have operated well on-orbit for five years and acquired a large number of high-quality observation data.The realization of the observation data geometric precision correction is of great significance for macro and dynamic ecological environment monitoring.The paper analyzed the parameter characteristics of HJ-1 satellite and geometric features of HJ-1 satellite level 2 data(systematic geo- corrected data).Based on this,the overall HJ- 1 multi- sensor geometric correction flow and charge-coupled device(CCD) automatic geometric precision correction method were designed.Actual operating data showed that the method could achieve good result for automatic geometric precision correction of HJ-1 satellite data,automatic HJ-1 CCD image geometric precision correction accuracy could be achieved within two pixels and automatic matching accuracy between the images of same satellite could be obtained less than one pixel.

An automatic seismic signal detection method based on fourth-order statistics and applications

Real-time, automatic, and accurate determination of seismic signals is critical for rapid earthquake reporting and early warning. In this study, we present a correction trigger function（CTF） for automatically detecting regional seismic events and a fourth-order statistics algorithm with the Akaike information criterion（AIC） for determining the direct wave phase, based on the differences, or changes, in energy, frequency, and amplitude of the direct P- or S-waves signal and noise. Simulations suggest for that the proposed fourth-order statistics result in high resolution even for weak signal and noise variations at different amplitude, frequency, and polarization characteristics. To improve the precision of establishing the S-waves onset, first a specific segment of P-wave seismograms is selected and the polarization characteristics of the data are obtained. Second, the S-wave seismograms that contained the specific segment of P-wave seismograms are analyzed by S-wave polarization filtering. Finally, the S-wave phase onset times are estimated. The proposed algorithm was used to analyze regional earthquake data from the Shandong Seismic Network. The results suggest that compared with conventional methods, the proposed algorithm greatly decreased false and missed earthquake triggers, and improved the detection precision of direct P- and S-wave phases.

Contact High-Temperature Strain Automatic Calibration and Precision Compensation Research

Automated control and calibration are important components in industrial process and in artificial intelligence system and robotics.In order to solve the problem of contact high-temperature strain precision measurement,this paper established an automatic calibration device for high-temperature strain gauges.The temperature of the high-temperature furnace is automatically controlled by the temperature control device.The electric cylinder is driven by the servo motor to apply the load to the calibration beam.The output signal of the high-temperature strain gauge,the thermocouple signal,and the displacement signal of the grating ruler are collected at the same time.The deformation measurement results obtained after temperature correction are used to calculate the theoretical mechanical strain,which are fed back to control the loading action to complete the automatic calibration process.Based on the above calibration device,the hightemperature strain measurement accuracy correction software is developed to calibrate the high-temperature strain gauge with multiparameters,and the curves of sensitivity coefficient,thermal output,zero drift,and creep characteristics with temperature are obtained,and a strain measurement accuracy compensation model is established.The high-temperature strain measurement experiment is carried out to verify that the modified model can meet the requirements in each temperature range.

Image Correction Method of Color Line-Scan System

As the development of machine vision technology, the color line-scan system is widely applied in the on-line inspection. Due to the non-uniform gray scale and color distortion of the image acquired by the system, the image correction is needed to reduce the problem of image processing and the stability system. Based on reasons mentioned above, a method that using polynomial fitting to correct the image is presented to solve the problem in this paper. The method has been used in the automatic optical inspection of PCB, and has been proved to be effective. So this method will have a potential application to the development of the color line-scan machine vision system.

Three-body Force Effect from Different Elementary Processes and Relativistic Correction in Dirac-Brueckner Approach

Adopting the charge-dependent ArgonneV_(18) plus microscopic three-body forces,the equation of state(EOS) and single particle properties of symmetric nuclear matter have been investigated in Brueckner-Hartree-Fock(BHF) framework~[1].The microscopic three-body force

Geometric Correction Analysis of Highly Distortion of Near Equatorial Satellite Images Using Remote Sensing and Digital Image Processing Techniques

The Near-equatorial orbit (NEqO) satellite represents a new generation of optical satellite images characterized by nonlinear distortion when captured. Conventional modeling techniques are insufficient to overcome the geometric distortion in these satellite images. This study proposes a new methodology for overcoming the geometric distortion of the NEqO images. The data used are obtained from RazakSAT and SPOT-5 satellite images in Malaysia. The method starts with applying the RI-SIFT algorithm to extract control points (CPs) automatically. These CPs are used to solve for the transformation parameters of the geometric correction model by applying spline transformations. The result is verified through statistical comparison: 1) geometric correction on the RazakSAT image is performed with Spot satellite image with using first-order polynomial trans-formation. 2) Then calculate the root mean square error (RMSE). 3) Compare the calculated RMSE with that obtained from the first step with that of the proposed method. The RMSE value of the geometric corrections using the proposed method was 7.08 × 10−9 m. The proposed method provides promising results.

Use Single－chip Computer to Realize Automatic Compensation for Optical Fiber Sensors

Being directed against two kinds of noise in optical fiber sensors,a simple and effective method of automatic compensation for optical fiber sensors is presented.Not only the unstability effect of light source,but also zero drift of photoelectronic devices,can be eliminated or enormously restrained with the aid of this method.In another way,by using single-chip microcomputer,the optical fiber sensor system fabricated is connected to a computer network to realize an automatic compensation.

自动光学检测技术在引线键合中的应用

微电子产品内部结构复杂,引线数量多且分布无规律,给人工检验带来了巨大挑战。自动光学检测具有效率高且漏检率低的特点,可实现产品引线键合正确性的自动化检验。对引线键合的自动光学检测原理进行深入分析,结合实际生产,着重介绍键合点编号技术。实现了引线键合的自动化检验,确保引线键合的正确性,并且极大降低了误报率。

面向深度学习的高质量纠错语料库自动生成方法研究

基于海量数据驱动的学习模型是目前的主流算法,但通常需要大量的标注数据驱动模型才能获得精准的结果。然而,高质量标注数据获取是一个繁琐且耗时的过程,缺乏足够的标注数据会严重影响算法的性能。本文以信息检索中的查询文本串为例,探索自动数据标注方法。针对中文查询串纠错任务,本文提出了一种新颖的语料自动生成方法,该方法结合了规则筛选和循环神经网络的优点,使用了两种方式来构造音素资源库。同时结合考虑用户的输入习惯和发音等特点,用规则模拟出更多种类的输入错误,使用神经网络语言模型将拼音转换为文字。通过这种方法可以生成更广泛的错误类别,有助于提高机器学习算法的性能。实验结果表明,采用序列到序列的数据生成模型,在自动生成纠错语料库方面具有良好的效果,生成的语料能够模拟真实语料中发生的错误情况,可以有效地提高模型的训练效果。

人工智能在职业教育自动批改中的应用

对学生学习效果的评价是教学的重要环节,而评价的对象包括作品与项目等。职业教育的主要目标之一是培养学生的职业实践能力,文章以软件技术专业软件测试岗位的职业实践任务为研究对象,探索了职业实践能力智能化自动评价的路线。同时,利用短文本相似度分析等新技术研究了职业实践能力智能化自动评价的方法,并对其进行了实践应用与分析。

基于机器视觉的手写钢板号图像增强及矫正算法研究与应用

钢板号的正确识别检查是实现生产线自动化生产的重要基础条件之一。近年来,许多生产线在备料位置配备了喷印机用于自动标记物料编号。喷印的字迹清晰且耐高温,在没有涂抹的情况下使用钢板号识别设备可以实现接近100%的识别率。然而,由于喷印设备故障或受限于资金和空间等原因,有时无法安装喷印设备,只能依赖人工手写的方式在钢板表面标记编号。与喷印编号相比,手写编号存在书写随意、连笔、字迹歪斜扭曲等复杂情况,这些因素限制了识别系统的准确性。鉴于识别效果较差,通常需要依赖人工目测来辅助识别,从而影响了物料跟踪自动化的实施效果。为了提升手写钢板号的识别效果,对传统机器学习光学字符识别(OCR)文本区域检测算法进行改进研究,并针对手写钢板号的特征,提出一种图像增强和扭曲矫正处理的算法。应用结果表明,该算法可以改善手写钢板号的图像质量和形状,提高识别的准确性。该研究旨在提升手写钢板号识别效果,以解决自动化生产中的难题。通过图像增强和矫正处理,使识别系统更好地处理手写钢板号,推动物料跟踪的自动化实施。

基于误差修正的光面塞规直径高精度自动检定

针对航空制造企业光面塞规大批量检定中存在的检定精度及效率低、人工操作烦琐等不足,提出一种基于机器视觉和激光测径相结合的光面塞规直径测量方法。由激光测径仪测量塞规直径,机器视觉模块同步检测塞规在测径仪光幕当中的姿态,并对测径仪测量值进行修正。同时,利用专用工装配合气浮运动机构实现多个塞规的自动切换及单个塞规的多位置自动测量。试验结果表明,该系统的重复测量标准差为0.16μm,与立光计测量值相比的绝对测量误差≤0.5μm,塞规单端测量时间≤45 s,能够满足生产中的常用光面塞规快速高精度检定要求。

南极光学天文望远镜控制软件关键技术

南极天文望远镜控制软件是望远镜软件系统的重要组成部分,是控制计算机在望远镜用户层和设备层之间运行的关键技术。对于用户层,控制软件需具备全自动观测的交互接口、卫星通信条件下的远程访问和故障诊断等功能;对于设备层,控制软件不但要完成对天体目标的精确指向和精密跟踪、计算并补偿系统误差和控制关键部件以达到目标像质,而且需实现对电源分配系统、除霜及加热系统的控制、设备及环境信息的采集和监测等。相比于普通台址,在南极大陆运行的光学天文望远镜有其独特的特点,控制软件需进行特殊设计。本文重点从操作系统选择、远程建立望远镜指向误差修正模型方法、全自动观测软件接口、卫星通信及远程运维、望远镜实时状态监测和故障诊断等方面探讨了南极天文光学望远镜控制软件的关键技术和设计原则,并展望未来技术的发展,为南极天文望远镜的研制和控制系统研发提供技术储备。

自动垂直钻井工具纠斜液压系统的研究

对一种用于石油自动垂直钻井工具的纠斜液压系统展开研究,以实现钻具的纠斜力稳定、可变及钻具矢量纠斜效果。针对油缸压力无法调节及液压泵引起油缸压力不易稳定的问题,研究一种新型纠斜液压系统。在建立纠斜液压系统数学模型的基础上,进行了系统和油缸压力的动态响应分析。仿真结果表明,新型纠斜液压系统提供的导向推力较传统系统稳定性更高,压力波动幅度更低;调节比例溢流阀的输入电流55~85 mA,并保持比例溢流阀输入电流增量不变,钻杆转速越大,油缸压力在单位时间内的开环调节精度就越高。

基于数字图像技术振动台试验结构位移信息捕捉技术研究

针对振动台试验模型箱位移、围岩错动以及隧道衬砌变形监测的需求,将YOLO-V2、改进Canny边缘检测、Hough变换及倾斜矫正技术相结合,提出了一种倾斜影像的自动矫正技术,实现了将倾斜影像修正为相机光轴垂直于测点运动平面的图像分析;提高了试验数据结果的处理精度,扩大了目标追踪算法在结构位移和变形监测的使用范围。同时通过核相关滤波技术完成对修正后的影像进行追踪,形成一套完整的地震动信号捕捉与监测系统。采用该系统进行了强震作用下穿越断层隧道韧性结构减震抗错性能试验研究,分别对模型箱位移、围岩错动和隧道衬砌变形进行信号识别与捕捉,同时对比分析了高精度拉线式位移计和位移传感器采集的数据,验证了系统的可靠性。结果表明:在监测点位设有标记物时,首先对采集结果进行倾斜矫正后追踪,通过监测结果与位移传感器进行对比,两者的2-范数小于0.005;而在无标记物时对结构表面特征物进行追踪,精度达到了97.5%;试验数据证明通过倾斜影像自动矫正技术来完成非对正对标记物时的影像进行追踪具有较高可靠性。

蔬菜嫁接用砧木苗位置纠偏机构试验研究

茄果类蔬菜砧木苗由于播种偏差和生长差异导致砧木苗中心偏移穴盘中心,可能在自动嫁接作业时对砧木苗造成损伤。为此,设计了一种砧木苗位置纠偏机构,通过1对拢苗手和砧木推板对砧木进行全方位约束,实现对砧木位置的纠偏。为了考察砧木苗位置纠偏机构对嫁接苗体的损伤情况,进行了砧木位置纠偏对嫁接苗体的损伤试验。结果表明:纠偏机构可以实现砧木苗偏移穴盘中心点4mm范围内的纠偏;当砧木苗向前偏移时,砧木苗位置纠偏机构“搂”回偏移的嫁接苗体的损伤率为4.9%;当砧木苗向后偏移时,砧木苗位置纠偏机构“推”出偏移的嫁接苗体的损伤率12.3%;当拢苗手和砧木推板的缓冲材料使用EVA缓冲时,没有嫁接苗体损伤;当拢苗手和砧木推板的缓冲材料使用0.3mm塑料薄膜缓冲时,嫁接苗体的损伤率为4.9%;当拢苗手和砧木推板没有缓冲材料时,嫁接苗体的损伤率为6.17%。

基于JESD204B确定性延迟的多芯片同步自动校正设计

针对高速模数转换器JESD204B接口多芯片同步系统在稳定性、可靠性和可重复性上面临的确定性延迟问题,提出一种解决方案。该方案基于子类1同步原理,通过自动校正参考时钟相对于器件时钟的建立保持时间,以及利用确定性延迟原理实现可重复确定性延迟的自动校正。采用可调SYSREF延迟与模数转换器内部检测机制自动校正技术,确定最优延迟时刻,实现多片模数转换器的固定相位采样。在可编程逻辑芯片接收端自动校正数据到达与本地多帧时钟的相对位置,从而建立稳定、可重复的确定性延迟。本设计有助于多芯片同步系统更好地应对恶劣环境和自身敏感的延迟变化。

基于详细规格的管舾件安装任务包计划工时自动计算

根据管舾件安装任务包计划工时计算方法,提出基于详细规格的计划工时自动计算要点。提取管舾件规格与属性数据,建立工时标准库,确定修正因数,实现计划工时自动计算,并采用工时效率分析进行工时标准库修订。在相关企业开展的实际应用证明基于详细规格的管舾件安装任务包计划工时自动计算具有实用性。

基于粒子群优化的模糊掘进纠偏控制系统研究与应用

为解决控制盾构导向偏差时既要保证盾构推进速度稳定又要控制导向偏差的问题,研发一种基于粒子群算法的模糊掘进纠偏控制算法,实现盾构设备自动掘进纠偏。首先,基于掘进数据和经验建立纠偏模糊控制规则,实现盾构导向纠偏控制合力和总推进力增量的输出;然后,以纠偏合力和总推进力为求解目标,采用粒子群算法对分区油缸目标控制压力进行求解;最后,采用PID控制器,实现油缸压力的闭环控制,保证盾构掘进纠偏稳定运行。通过在南昌地铁中铁1182号土压平衡盾构测试应用,单环纠偏目标和目标推进速度在每环开始前进行设定,研发的盾构掘进纠偏控制系统实现了连续环自动掘进纠偏控制,其中单环纠偏误差控制在±2 mm,连续环平均误差控制在±1 mm,推进速度平均波动在±5 mm/min。