H型鋼構件智慧塗裝路徑優化研究;The research of H-shaped steel intelligent coating

NCU Institutional Repository > 工學院 > 營建管理研究所碩士在職專班 > 博碩士論文 > Item 987654321/84410

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/84410

题名:	H型鋼構件智慧塗裝路徑優化研究;The research of H-shaped steel intelligent coating
作者:	戴萬源;Tai, Wan-Yuan
贡献者:	土木系營建管理碩士在職專班
关键词:	H型鋼構件;鋼構件塗裝;塗裝優化路徑;路徑規劃;H-steel component;coating path;optimization;recognition;construction industry
日期:	2020-07-28
上传时间:	2020-09-02 19:34:52 (UTC+8)
出版者:	國立中央大學
摘要:	由於工廠的生產塗裝H型鋼結構部件的配置複雜性和尺寸因素，H型鋼結構部件的塗層工作通常由人工完成。 H型鋼結構件非常巨大且複雜，這是塗裝廠需要面對的生產率較低的問題，特別是對於行業中高度以客戶為導向的需求。研究目標是為H型鋼部件開發最佳的塗層路徑。文獻綜述提出了用於設置參數，識別構型和優化H型鋼組件塗層路徑的方法。通過針對大多數H型鋼部件的定義數據庫，構建了該算法以高精度（> 90％）識別鋼結構部件，然後進行塗層處理。與手動塗層相比，本研究模擬了100種不同的H型鋼塗層情況。研究結果表明，平均節省時間可達到總手動塗佈時間的24.6％。這是非常重要的，因為該行業正面臨熟練工人的短缺和高塗料成本，這兩者都給從業人員帶來了經營困難。;The coating work for H-steel components is usually carried out by manual due to factory capacity and H-steel components’ configuration complexity and size. The larger and more complex the H-steel components are the lower productivity a coating factory needs to face, especially for highly customer-oriented demands from the industries. The research objective is to develop optimal coating paths for H-steel components. The literature review suggests the methods setting parameters, recognizing configuration and optimizing coating paths for H-steel components. By a given database for most H-steel components, the algorithm is built to recognize the components with a high accuracy (>90%) and then to deal with coating. The evaluation simulates 100 different cases of H-steel coating, compared to manual coating. Findings turn out that the average time saving can reach 24.6% of the total manual coating time. It is significant since the industry is facing the shortage of skillful workers and high coating costs which both have caused difficult for practitioners to run their business.
显示于类别:	[營建管理研究所碩士在職專班] 博碩士論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	225	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing

数据加载中.....