BALASUBRAMANIAM VEDAGIRIVICE PRESIDENT

MPHASIS

The Problem Statement• Natural disasters are caused by– Floods resulting in traffic disruption, loss of crops,

people, animals etc– Cyclone devastation in coastal areas– Earthquake, Landslides, tsunami & Avalanches

• Delayed warning of natural disasters causing extensive loss/damage

• Absence of relief infrastructure

The Solution – Flood as pilot

• Objective is to identify hot spots based on past incidents, predict future disasters, aid relief measures, provide reports for real time analytics in a cost effective manner with an intent to enable trauma care with the help of businesses that focuses on trauma relief– Early Warning - Effective geo-spatial communication system &

use of analytics and predictive algorithms– Infra setup - Provide proper means of uninterrupted

infrastructure with redundancy/continuity & Faster and alternate data connectivity via cloud for cost effectiveness

– Actual relief - Convergence of agencies driven by dedicated toll-free services for trauma care

The Constraints

• Availability of weather and met data on real-time basis

• Investments related to setting up redundant infrastructure

• Power during and post disaster• Interest/common goal by other agencies

Implementation Steps

• Set-up sensors and M2M platform for flood prone areas• Tie up with Met/Weather office for satellite data• Usage of big data to arrive at predictive analytics

algorithm• Identify Hot-spots, send early warning and invoke disaster

mitigation plans using Push Notification from cell tower• Integrated portal for intra-agency coordination for relief

measures• Set-up toll free services and PRI• Monitor, track and coordinate relief • Communication of outcome to all stakeholders

Technologies Used

• Sensors• M2M, Push Notification from Cell tower• Toll free services and PRI• Solr open source enterprise search platform • Advanced Big data analysis with Cloudera

Hadoop and R

Outcomes• Accelerated pace of warning• Reduced damage/loss• Proactive and timely evacuation• Effective trauma care• Enhanced prediction at low cost and <80% loss• Delivers a flexible solution topology using ‘power of many’• Improvement of forecasting, warning, communication and

effective pro-active disaster management• 75% improvement in disaster management than last

year

Thank you