Abstract:
With the development of economy, people pay more and more attention to urban sewage treatment. At present, the operation and management of sewage treatment plants are gradually changing from digital to intelligent. As an emerging technology, digital twin can make an important contribution to the development of intelligent water. Based on digital twin, machine learning, Internet of Things, and other technologies, this study constructed a smart control system applied to sewage treatment plants. Water quality information such as COD, TN, and TP collected on site is driven into the 3D model of the system. At the same time, based on the historical data, the effluent quality is predicted. Assist staff in dosing and equipment maintenance according to forecast results. Preliminary experimental results show that the system realizes the data-driven 3D model, completes the data prediction and remote interaction, and runs stably. It can save a lot of manpower and material resources and has feasibility. Β© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
