Scientific Results

  • ID:
    publications-5262
  • Type:
    Conference paper
  • Year:
    2022
  • Authors:
    Yingxin W.; Xintong H.; Jiangang M.
  • Title:
    A digital twin-driven water plant flocculation and precipitation pharmacy control system
  • Venue/Journal:
    2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022
  • DOI:
    10.1109/ICAICA54878.2022.9844466
  • Research type:
  • Water System:
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  • Abstract:
    As an indispensable part of production and life, tap water has a large scale of consumption every year. Among them, coagulation drug injection is an important link in purifying water quality in the production process of tap water treatment. At present, the drug injection mode of domestic water purification plants is mainly feedforward control or single-factor closed-loop control based on flow current. The parameter response to multiple parameters cannot be responded quickly, which limits the control effect and causes the problem of flocculant drug waste. Therefore, in view of the above problems, the project has built an intelligent control system of waterworks flocculant drugs based on big data by comprehensively using big data, digital twin, Internet of Things and deep learning, so as to realize the precise dosage of flocculant. Β© 2022 IEEE.
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