2023 – The Benefits of Real Time Decision Support System Using Digital Twin and Machine Learning in Dams Operation

Sean Ho, Suzanne Burow, Nasrine Tomasi

Digital twins are becoming popular with operators across various infrastructure projects, made available by the rapid adoption of BIM models during design and construction phases.
The recent advances in data science and machine learning allows us process large quantity of data at an accelerated speed and connect datasets across different systems that were not previously possible, unlocking new and valuable insights for dam operators.

This paper discusses the potentials of a decision support system that combines both the geo-graphical power of digital twins and the data processing power of machine learning algorithms to present a unique opportunity for dam owners to enhance their daily operation as well as during an emergency.

Adopting the latest technologies in digital twin, data science and machine learning could lead to better outcomes for stakeholders and streamline business processes.

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