- 期刊
建置智慧物聯網工業園區以即時監測管理廢污水系統
THE REAL TIME WATER QUALITY AND ALERTING FOR WASTEWATER TREATMENT PLANT BY INTELLIGENT SYSTEM
摘要
物聯網（Internet of Things, IoT）為現今資訊科技發展重要趨勢之一，是網際網路、傳統電信網等資訊承載體，讓所有能行使獨立功能的普通物體實作互聯互通，由下到上將硬體感測層所收集的資訊透過網路層連結至雲端軟體應用平台，透過三層之科技整合應用，突破人類資訊管理的極限，大幅降低大數據分析的成本與困難度。AIoT為融合人工智慧技術（Artificial Intelligence, AI）與物聯網技術的新應用型態，將物聯網所收集大量數據儲存於雲端以及邊端，再透過大數據分析以及更高形式的人工智能，實現萬物智慧化。本研究於各工業區內設置監測點，利用即時監測設備全時監測不同工業區需求項目，如污水排放源頭監督、雨水下水道水位水質監測、污水排放口水質監督管理等，將測量數據及影像即時透過物聯網回傳，以使人員可於遠端監看即時測值，並整合各項目之監控平台，不僅有助於設施設備監控預警，亦能檢討評估處理操作成效，以達成預測性維護及災害預防等操作成效。
並列摘要
Internet of Things (IoT) is one of import trend in information technology. The ＂things＂ are embedded sensors, gateways and software. The IoT system helps us collection the big data. It is useful to decrease the cost of data collection. The big data needs complicated computing. Artificial Intelligence is the simulation of human intelligence processes by machines. Combination of Artificial Intelligence and IoT (AIoT) are bringing intelligence to the edge. This study sets up monitoring points in each industrial zone, and uses real-time monitoring equipment to monitor the needs of different industrial zones at all times, such as monitoring the source of sewage discharge, monitoring the water level of rainwater channels, and monitoring the water quality of sewage discharge outlets. The measurement data and images are real-time Through the Internet of Things backhaul, so that personnel can remotely monitor real-time measured values, and integrate the monitoring platform of each project, not only to help facility equipment monitoring and early warning, but also to review and evaluate the effectiveness of processing operations to achieve predictive maintenance and perational effectiveness such as disaster prevention.