- 期刊
- OpenAccess
人工智慧應用於空氣污染源燃燒優化和排放監測
Combustion Optimization and Emission Monitoring of Fossil Fuel-fired Units by using Artificial Intelligence Technologies
摘要
近年，由於大數據（big data）、工業4.0、智慧電網（smart grid）乃至智慧城市（smart city）的廣泛應用，除了因感測器的技術成熟、成本降低而得廣泛設置在各個領域，其所監測到的數據資料也可透過類神經網路（neural network）、機器學習（machine learning）、深度學習（deep learning）等人工智慧（artificial intelligence, AI）將其進一步解析變成有用的資訊。在空氣品質管理與污染管制上的應用可以包括空氣品質監測與推估預測、空氣污染源查緝、燃料調配、污染源／防制設備操作條件調整、設備維護保養管理等。
並列摘要
In recent years, due to the wide application of big data, industry 4.0, smart grids and even smart cities, in addition to the mature technology of sensors and the reduction of costs, they have been widely installed in various fields. The monitored data can also be further parsed into useful information through artificial intelligence (AI) such as neural network, machine learning, deep learning, etc. Applications in air quality management and pollution control can include air quality monitoring and estimation, air pollution source detection, fuel deployment, pollution source/control equipment operating condition adjustment, equipment maintenance management, etc.