Smart Disaster Management system is for management of three types of disasters i.e.
Smart Disaster Management will be implemented in collaboration with Beijing global safety technology. The system will be implemented at various sites along the CPEC in KPK regions.
The system aims at planning and management of floods using real time information management system and efficient prediction models. It also identifies areas prone to floods through Wireless Sensor Networks (WSNs). Additionally, it aims at designing and manufacturing of sensors and development of appropriate distribution architecture to monitor the areas for the prediction of potential flooding followed by the training of the prediction system for future use. Floods have long been considered as unpredictable and unavoidable threat to Mankind. Flood claims over 20,000 lives worldwide and creates damages up to nine-billion dollars every year. Flood management aims to reduce the vulnerability to life due to flooding, as well as to alleviate the damages resulting from flood disaster.
Smart Landslide Management project aims to provide an artificial intelligent system that will predict the likelihood of land slides. The whole model stems from the concept of installing 5 types of sensors called soil moisture sensor, Rain Sensor, Accelerometer, Flex Sensor and Strain Gauge Sensor at different parts of land prone to sliding. These sensors will send collective data to a slide meter which using an artificial intelligent evolved prediction model will predict the likelihood of a land slide. In case of an imminent slide the slide meter will generate a visual alert for vehicles moving in the direction of the land slide to halt their further progress. It will also notify a control center for immediate rescue and relief services. Satellite imagery will be used along with sensors data to predict whether there will be more land sliding or not.
Smart Earthquake management project aims to detect the level of aftershocks after earthquakes in order to prevent further catastrophes. The system will not only predict the magnitude of the aftershock but also an accurate time of occurrence and their frequency. Global Positioning System (GPS) sensors that provide very accurate measurements of ground displacement before the earth quake will be periodically recorded after a certain time interval throughout the day via a quake meter. The quake meter will send the data to a RDC. In case of an earthquake the rector scale measurements will be transmitted to the regional control center. Satellite images of the earthquake affected areas will be obtained. All this data will then be used to predict the magnitude and time for aftershocks occurrence using an artificially intelligently evolved prediction model.