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  • 學位論文

運用邊緣運算技術於PLC之工安消防智慧系統實現

Factory Environment Safety via Edge Computing Technology

指導教授 : 李揚漢

摘要


隨著自動化工業的發展,工廠內的人員數量逐漸因設備的升級而減少,也因此增加每位工人需要巡視的範圍,進而造成因火災發生時,無法第一時間得知與作出相對應的處裡。本研究設計一套便於安裝且使用藍牙廣播協議的藍牙感測器,負責感測環境數據並藉由藍牙廣播將數據傳送至邊緣計算機。本研究設計的邊緣計算機會對周圍的藍牙訊號進行掃描,從中辨別出包含環境數據的藍牙感測器廣播信號。邊緣計算機取得環境數據後,會經由演算法進行演算環境變化並進行智慧判斷,如果邊緣計算機演算結果為環境數值變化過快,會主動發送警告訊息給使用者;如果邊緣計算機演算結果為環境處於危險之中,不只會通知使用者,還會主動啟動相關設備(可程式邏輯控制器,PLC)進行補救,並停止生產線的運作,以求降低工廠損失。

並列摘要


With the development of the automation industry, the number of worker in the factory is reduced. Therefore, for each worker it is not easy to detect and put out the fire immediately. We design a system with Bluetooth sensors and Bluetooth broadcast protocol. This system can sense environmental data and transmit the data to the edge computer through Bluetooth broadcast. The edge computer will scan the surrounding Bluetooth signals to identify the Bluetooth sensor broadcast signals that contain environmental data. After the edge computer obtains the environmental data, it will use the algorithms to calculate environmental changes and make the intelligent decision. If the edge computer find out the environment to be in danger, it will send warning message to the users. The edge computer will notify the users. And it will stop the PLC equipments. So the operation of the production line will be stopped to reduce the loss of the factory.

並列關鍵字

Environment Safety IoT Edge computing Bluetooth PLC

參考文獻


[1] A. Imteaj, T. Rahman, M. K. Hossain, M. S. Alam and S. A. Rahat, "An IoT based fire alarming and authentication system for workhouse using Raspberry Pi 3," 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2017, pp. 899-904.
[2] S. Kabir, M. E. H. Riyad, U. T. Tanisha, M. H. R. Bhuiyan, T. R. Toha and S. M. M. Alam, "Automatic Fire Monitoring System in Textile Industry," 2020 11th International Conference on Electrical and Computer Engineering (ICECE), 2020, pp. 471-474.
[3] M. Song et al., "Design of Distributed Factory Fire Alarm System," 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS), 2020, pp. 132-135.
[4] A. R. Hutauruk, J. Pardede, P. Aritonang, R. F. Saragih and A. Sagala, "Implementation of Wireless Sensor Network as Fire Detector using Arduino Nano," 2019 International Conference of Computer Science and Information Technology (ICoSNIKOM), 2019, pp. 1-4.
[5] C. Bhawesh and N. Gouthamkumar, "Advanced Integrated Fire Controlling System to Reduce Casualty and Minimize Deaths," 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2020, pp. 472-476.

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