在製造業中自動化提升了生產效率及減省人力成本，但隨著工業 4.0 的發展中，人們期望將工廠數位化、智慧化，而在電腦數值工具機(Computer Numerical Control, CNC)加工中，了解刀具加工之狀態是智慧工廠重要課題之一，常見之刀具監測法有主軸電功率法、振動法、切削力法等，本研究將進行振動法，在加工製程中利用虎鉗上的加速規擷取振動訊號進行監測，實驗對於 YTM763 立式綜合加工機、Vcenter-P76 立式加工中心機、各個機台皆採用 2mm、4mm 鎢鋼平銑刀對工件進行銑削，並使用 DDS(Data Distribution Service) 傳輸與儲存加工資訊，包含主軸轉速、進給、三軸振動值等機台參數，最終針對收集之數據，建立可視化視窗實現大數據之分析及展示。 本研究使用 PyQt5 開發圖形使用者介面(Graphic User Interface, GUI)，介面將圖形和視覺元素呈現資訊和操作介面，使用者可以透過直觀的操作與軟體進行時實交互，增強使用者之參與感和互動性，不僅將龐大且複雜的數據以圖表方式呈現，還實現了介面內圖表交互功能，讓使用者更輕鬆分析數據，直觀的觀察刀具加工狀態，並理解大數據的之涵義，介面的製作是為了讓使用者更方便的掌握加工過程中的資訊，並協助未來做出加工決策，而這樣的介面可以讓製造業更有效的運用數據和技術，提高生產效率，節省人力成本，以實現更智慧化的製造流程。

In the manufacturing industry, automation has significantly improved production efficiency and reduced labor costs. However, with the development of Industry 4.0, there is a growing expectation to digitize and smartify factories. In the context of Computer Numerical Control (CNC) machining, understanding the status of cutting tools is a crucial aspect of smart factory initiatives. Various tool monitoring methods, such as spindle power method, vibration method, and cutting force method, are commonly used. In this research, the vibration method will be employed, utilizing accelerometers attached to the tool holder to monitor the tool's vibration signals during the machining process.Experiments will be conducted on different CNC machines, including YTM763 vertical comprehensive machining centers and Vcenter-P76 vertical machining centers. The cutting process will involve using 2mm and 4mm tungsten carbide end mills on workpiece. The collected data, including spindle speed, feed rate, and three-axis vibration values, will be transmitted and stored using the Data Distribution Service (DDS). The ultimate goal is to establish a visualization window for data analysis and presentation, harnessing big data. A Graphical User Interface (GUI) using PyQt5 will be developed, presenting information and operational elements through graphics and visual elements. This GUI allows users to interact with the software in real-time through intuitive operations, enhancing user engagement and interactivity. The GUI will not only present the vast and complex data in graphical forms but also enable interactive functionality for easier data analysis. Users will be able to intuitively observe the cutting tool's machining status and comprehend the implications of big data. The development of this GUI is aimed at providing users with a more convenient means of monitoring information during the machining process and assisting in making informed machining decisions in the future. Such an interface enables the manufacturing industry to effectively utilize data and technology, thereby improving production efficiency, reducing labor costs, and achieving a more intelligent manufacturing process.

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