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机构地区:[1]安徽理工大学深部煤矿动力响应与灾害防控国家重点实验室,安徽淮南232001 [2]安徽理工大学机电工程学院,安徽淮南232001
出 处:《科技创新与应用》2025年第1期141-145,共5页Technology Innovation and Application
基 金:安徽省煤炭安全精准开采工程实验室开放基金项目(ESCMP202406)。
摘 要:分析国内外虚拟装配技术,发现由于输电塔零件尺寸较大,尺寸参数获取误差较大,使得虚拟装配这一技术在输电塔的应用上准确率偏低。该文构建螺栓孔内螺纹尺寸检测系统,并进行算法模型改进,提升模型的鲁棒性,增强重建图像的质量,通过实验验证该尺寸检测系统的标准差为0.000854 mm、极差为0.002 mm,相比传统的输电塔上尺寸检测系统在精度和稳定性上有着较大提升,对于提高输电塔的虚拟装配的准确性有着积极意义。By analyzing the virtual assembly technologies at home and abroad,it is found that due to the relatively large size of transmission tower components,the acquisition error of size parameters is relatively large,resulting in a relatively low accuracy rate of the application of virtual assembly technology in transmission towers.In this paper,a size detection system for internal threads in bolt holes is constructed,and the algorithm model is improved,which enhances the robustness of the model and improves the quality of reconstructed images.Through experiments,it is verified that the standard deviation of this size detection system is 0.000854 mm and the range is 0.002 mm.Compared with the traditional size detection systems on transmission towers,it has a significant improvement in accuracy and stability,which has a positive significance for improving the accuracy of virtual assembly of transmission towers.
分 类 号:TG85[金属学及工艺—公差测量技术]
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