The main objective of the project consists in conceiving, designing, implementing and testing a complex system dedicated to continuously monitoring over 3 axes the movement of the geomorphological structures, in order to detect incipient landslides. The system uses smart sensors based on micro and nanostructured special materials and advanced techniques for information processing.

The system is able to automatically acquire data from field sensors, to process the information, to locally store and to transmit them remotely via a wireless communications network to a central server. It consists of three components:

a) the measurement component,

b) the communication network,

c) the data processing and presenting component.

The measurement component is based on a set of new type of transducers. They can measure the displacement of the geological layers over 3 axes in a certain area, the pore water pressure in the monitored geological structure, the conductivity and temperature at different underground levels. The communication is realized via a wireless network where the sensors are the nodes of the network and which works on especially developed protocols for this kind of application. The information gathered from the sensors is permanently updated in a database, available to all users via a web interface.

The project brings together 5 partners: the coordinator and four partners, of which one is a SME company. The project activities are organized into four phases. The first stage is dedicated to building the intelligent measurement sensors, the second one is dedicated to laboratory tests and to the calibration of the devices, the third supposes the development and testing of the network communication protocols, and the fourth step is for testing the entire monitoring system in real conditions. The project is aimed to provide specific results obtained from four new types of intelligent sensors, to develop communication protocols for the wireless network system and a database with the information collected from a high-risk landslide area,?? accessible through special user interfaces and through the Internet.