標題：基于UG二次開發的汽車焊點數據智能化提取與應用研究
作者：郝大陸1，陳魯1，劉奇2，唐紅濤2（1.華域汽車車身零件（上海）有限公司，上海200433；2.武漢理工大學機電工程學院，湖北武漢430070）
摘要：車身設計制造過程中，焊接板件名稱、料厚、最小焊接尺寸等信息依賴于各零件屬性的讀取，焊點分布及組合件焊點個數仍需手動捕捉截屏，效率低。基于UG/NX二次開發平臺，通過對焊點的智能識別，過濾相同的焊點信息，篩選不同種類的板件層級，最終實現快速準確地輸出所需圖表。
關鍵詞：焊接板件；焊點；智能化識別；數據采集
中圖分類號：TG44 文獻標識碼：B 文章編號：1001-2168（2020）07-0068-05
DOI：10.16787/j.cnki.1001-2168.dmi.2020.07.015
Research and application on intelligent extraction for automobile welding points data based on UG secondary development
HAO Da-lu1, CHEN Lu1, LIU Qi2, TANG Hong-tao2 (1.Huayu Automotive Body Components Technology(Shanghai) Co.,Ltd., Shanghai 200433, China; 2.School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China)
Abstract: In the car body design and manufacture process, the information such as the name, material thickness, and minimum welding size of the welding plate depended on reading the properties of each part. The distribution and the number of welding points still need manually capture screenshots, which was inefficient. Based on the UG/NX secondary development platform, the same welding points information was filtered by intelligent identification of welding points, and different types of sheet material levels were screened and finally the charts were output quickly and accurately.
Key words: welding plate; welding spot; intelligent identification; data collection