We analyse the requirement profile for intelligent pump and lock management. This involves investigating techniques for forecasting water levels and devising methods to reduce water loss. We model and evaluate data which enables us to predict ship movements. We develop a predictive maintenance concept with the help of artificial intelligence, deep learning and neural networks.
