The main objective and original contribution of this project is the study, design and implementation of intelligent automated measurement systems for the continuous monitoring of parameters considered important for the environment quality. These systems include smart cells (i.e. smart sensors or smart actuators) for some physical quantities with digital processing structures with prediction capabilities. As new intelligent techniques that will be developed within the project it should be underlined:
·The sensor fusion and integration that combine the information in a way that removes inconsistencies and presents clearly the best interpretation of readings input from many individual sources.
·Neural and neuro-fuzzy information processing that includes linearisation, prediction and the correction of sensor characteristics.
Another direction of work will be the establishment of a client-server architecture linked through a computer network for distributed measurement systems. The client performs the continuous monitoring of the electrical signals related to the quantities to be measured and their transmission to the server database. For the water quantities the transmission is via the Global Standard for Mobile telecommunication (GSM) and a Global Position Sensor (GPS) is used for sensors position detection.

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