- 學位論文
連結物聯網及雲端運算之智慧型結露偵測系統開發
Development of a smart condensation detection system linking the Internet of Things and cloud computing
摘要
本論文目的在建構一套雲端智慧型結露預警系統，透過Arduino電路板及其程式，安裝溫度及濕度感測器，用以擷取環境中的溫度變化及濕度變化，計算露點溫度並比對鋼板之表面溫度，配合實驗室自製的環境模擬裝置，模擬工廠的實際環境及溫濕度參數。本論文也透過結合雲端智能及物聯網系統，進行環境中溫度、濕度檢測，分析該環境下結露現象的發生風險，並發送預警訊息，用以減少鋼捲存放時因結露現象造成的經濟損失以及傳統預防結露現象時所需消耗的人力物力。 本論文實際將此套雲端智慧型結露預警系統，應用於南部某鋼鐵公司的鋼捲存放區，並於本系統啟動後，成功偵測到結露現象的發生，也確實透過網路發出警示訊息給遠端的作業主管，避免因結露現象所造成的經濟損失。 本論文透過此套雲端智慧型結露預警系統，分析結露現象發生時之數據，並建立一套理論模型，用於評估結露現象發生之風險。依照不同的溫濕度參數，即時給予警示訊息，透過多點同時偵測的特性，減少因感測器所造成的誤差，提高此系統的準確性與實用性。 本論文也致力於開發新型的結露檢測裝置及系統，相較於先前版本的裝置，新一型的結露偵測器，由於其所使用的程式與硬體皆較舊型裝置高階，在靈敏度上有顯著提升，在評估結露現象的風險上有較高的準確性，因此本篇研究也針對新舊兩種不同結露偵測器之裝置與程式，進行再現性測試與結露現象風險分析。
並列摘要
The purpose of this paper is to construct a cloud-based intelligent dewing warning system. Through the Arduino circuit board and its program, temperature and humidity sensors are installed to capture the temperature and humidity changes in the environment, calculate the dew point temperature and compare the steel plate. The surface temperature is matched with the laboratory's self-made environmental simulation device to simulate the factory's actual environment and temperature and humidity parameters. This paper also combines cloud intelligence and IoT systems to detect temperature and humidity in the environment, analyzes the risk of dewing in the environment, and sends early warning messages to reduce the economic loss caused by dewing when steel coils are stored. The traditional manpower and material resources are needed to prevent dewing. This paper may be applied this cloud-based intelligent dewing early warning system to the steel coil storage area of a steel company in the south. After the system was activated, it successfully detected dewing and sent a warning message through the Internet. The remote operation supervisor avoids economic losses caused by dewing. This paper uses this cloud-based intelligent dewing early warning system to analyze the data when condensation occurs, and establish a theoretical model to evaluate the risk of dewing. According to different temperature and humidity parameters, real-time warning messages are given. Through the feature of multi-point simultaneous detection, the error caused by the sensor is reduced, and the accuracy and practicability of the system are improved. This paper is also devoted to the development of a new type of dewing detection device and system. Compared with the previous version of the device, the new type of dewing detector, because the program and hardware used are higher than the old device, in terms of sensitivity It has been significantly improved and has higher accuracy in assessing the risk of dewing. Therefore, this research also conducts reproducibility tests and analyses of dewing risks for the new and old devices and programs of the two different dewing detectors.