Environmental impacts (key theme).
Water transport (sea & inland), Assessment & decision support methodologies
The aim of the project is to reduce environmental pollution on the basis of previously estimated environmental conditions, and to activate the preventive measures corresponding to the envisaged climatic conditions. Advanced artificial intelligence techniques will be used, including a rule inference motor through the combination of fuzzy logic and rough sets. The company's solid grain terminal has a dust problem that cannot be resolved by conventional solutions, primarily due to the limited water supply for the permanent humidification of the grain storage. This project involves the design and installation of an intelligent computer system that will use weather prediction, current meteorological readings and data on port activity (including the types of products being moved and type of activity) to supervise the dust emission control systems. The fundamental objectives of this system are to minimise water consumption, environmental irritation and loss of material. The system is expected to be applicable to most grain-handling ports in southern and even northern Europe, where rational water usage is being encouraged.