機械工廠內之異質機臺連網整合與應用

Integration of Heterogeneous Machines and Its Applications in a Machining Factory

李維楨(Wei-chen Lee) ； 鍾俊輝(Chunhui Chung) ； 劉孟昆(Meng-Kun Liu) ； 郭重顯(Chung-Hsien Kuo) ； 項天瑞(Tien-Ruey Hsiang) ； 楊朝龍(Chao-Lung Yang) ； 羅乃維(Nai-Wei Lo)

《科儀新知》 221期 (2019/12) Pp. 26-34

摘要

在工業4.0的推動下，智慧製造及智慧工廠的概念遍植於臺灣的工業界。大家期待智慧工廠對環境的改變能夠自動回應，並收集工廠中生成的大量資訊以進行資料分析。為了實現這一點，如何在工廠內連接各式機臺是當務之急。在本研究中，我們使用了各種通訊的方法來連接各式機臺，並在生產過程中監控機臺，以收集機臺資訊，並將其上傳到雲端伺服器。在應用的部份，本研究中將機臺進行線上量測所取得的量測資料用來進行誤差補償，可降低標準差達30%以上。

並列摘要

With the advocate of Industry 4.0, the wave of smart manufacturing and the smart factory has swept through the industry in Taiwan. It is expected that the smart factories can automatically respond to the change of the environment, and collect massive information generated in the factories for data analytics. To achieve this, how to connect various machines in a machine shop is a top priority. In this research, we used various communication methods to connect the machines on the shop floor, monitored them during the production process, collected their information, and then uploaded to the cloud server. Regarding the application of the data collected, we used the online measurement data for error compensation. The experimental results showed that the proposed method reduced the standard deviation by at least 30%.