近年來在各國製造業整合硬體及資訊擷取、傳遞之功能，取得廠區機台之監控資訊，達成對於廠區機台之加工參數監控，並將物聯網概念導入，逐步邁向自動化、智能化的目標。若能使用統一之通訊協定，則可以在各設備及各系統之整合上更具優勢，同時可使廠區監控具備行動化的能力。
為此本研究依據國際通用之OPC UA通訊協定建置機台資訊傳遞架構。並以三軸工具機為例，依據不同資訊來源及元件相關性建立其通用訊息模型，並將所取得之資訊對應至所規劃之節點。本研究於加工機台上裝設震動、聲音感測器以擷取機台感測資訊，並於嵌入式系統進行感測資訊預處理；並於加工機台上裝設工業相機，取得加工件影像，同樣在嵌入式系統上進行影像處理取得特徵參數，再透過OPC UA通訊協定傳遞感測資訊及影像特徵參數至相關系統。本研究亦開發一可透過OPC UA通訊協定傳遞機台相關資訊之行動化加工監控平台，可達成機台資訊、感測資訊之遠端監看；亦可進行遠端加工之運動控制；並可進行感測、加工數據之歷史紀錄檢視。
最後針對本系統應用於異質介面及不同通訊方式進行測試與分析，討論在不同規劃下傳遞所需時間差異，並針對異廠機台和需額外監控之節點，提出連線規劃及解決辦法，以探討導入跨廠區實際加工應用之可行性。

In recent years, manufacturing industry in countries is developing towards automation and intelligence. Hence, the integration of hardware, data extraction and transfer are essentially needed to achieve data monitoring via factory machine. Even though there are many mobile factory monitoring systems present, if a unified communication protocol can be used, the advantage in the integration of equipment and systems can further be improved.
A machine information transmission framework based on OPC UA communication protocol is built in this study, as well as establishes a message model that can be used in three-axis machine tools based on the correlation of different information sources and components, to transmit machine processing information accordingly. Sensor are also installed in the machine to capture the sensing information, and the embedded system is used to preprocess the sensed information. An industrial camera is installed on the machine to obtain the image of the processed part. Image processing is also performed on the embedded system to obtain the image characteristic parameters. Then transmit the sensing information and image characteristic parameters through the OPC UA communication protocol. A mobile processing monitoring platform for machine operators is also developed in this research. Allowing operators to remotely monitor machine information and sensing information, to perform remote processing motion control, and to provide historical records view of the sensing and processing data.
Finally, the connection method of applying the system to heterogeneous interfaces and different connection methods are introduced. The difference in the time required for different transmission methods has been discussed. Connection planning and solutions for the situation of different machines and additional nodes that need to be monitored, and explores the possibility of introducing different application cases were proposed.

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