Research And Application For Geological Disaster Monitoring System Based On ZigBee Wireless Sensor Networks

In recent years, along with the vario us huma n trans formationprojects， the disaster increase significa ntly. During the ra in y season,geolo gical d isasters happen freque ntly. The country has paid great atte ntionon the m, since there is no time to delay. The current prediction methods arerelatively backward, since these ways could not make much earlier warningfor disaster. Thus it is necessary for us we to deve lop a mo nitoring s ystem tomake warning earlier, protecting people’s lives and property. Generally, it is abig proble m for us to monitor multip le adjacent locations in the same area s.According to current wire less sensor techno logy, it becomes possiblethat people could mo nitor the multip le adjacent points. We ma y send thecollecting results to server in time. ZigBee comes into our s ight, which is aautomatic network with low power consumption and cost. Resorting to thisadvantage, this techno logy is quite s uitable to monitor multip le adjacentlocations in sa me areas.The ma in miss ion is to establish a geo logica l disaster mo nitoringnetwork, next to geologica l disaster-prone regions, to present local conditionsto managers. The network system is comprised by three parts. Each detailedsensor node would send to its father node data whic h inc lude two parts. Thefirst one is directly co llected by sensor node itself, and second one isind irectly from the lower-le ve l node. These sensor data would be emerged atthe base station node by the way of rela y. Close-transmissio n module ofnetwork uses TI’s CC2530. Finally, the base station node would send all datato server through GPRS module. People could monitor data to predictwhether a geo logica l disaster will happen. Once encountering, they have achance to warn residents to immed iate ly evac uate these areas for their ownsafety and contro l the disaster.We can build a test platform and conduct series simulation experime nts to acquire data. Analyzing the collected data, we find that the system isfeas ible, accurate and stable. The energy consumption for this s ystem is quitereasonable. The s ystem would cost very little e nergy during its hibernatio n.While in the norma l work ing cond itio n, the syste m wo uld relative ly consumemore energy.