Earthquake, Flood and Fire Management We enable cities to offer more effective and sustainable solutions in disaster preparedness, response and reconstruction processes.

Real Time Monitoring

The status of infrastructure systems (electricity, water, natural gas lines), roads, bridges and buildings are constantly monitored through sensors. The effects of seismic movements are mapped instantly during an earthquake. In disasters such as floods or fires, spreading areas and risk zones are monitored in real time.

Forecast and Risk Analysis

Critical areas are determined before the disaster; for example, areas with weak soil structure or buildings that do not comply with earthquake regulations. The effects of disasters such as floods and landslides are simulated according to geographical and meteorological data. Long-term planning is made by creating risk maps.

Disaster Scenarios Simulation

Scenarios such as earthquakes, floods or forest fires of different magnitudes are modeled. These scenarios are detailed to include building destruction, infrastructure damage and human movements. The results are analyzed to develop intervention strategies.

Evacuation Planning

Safe evacuation routes, open areas and temporary shelters are determined during disasters. Dynamic route suggestions are provided considering heavy traffic areas and access difficulties. Evacuation plans are constantly updated according to population density and current data.

Resource Management

Post-disaster equipment, rescue teams and logistic resources are managed effectively. Post-earthquake road conditions (accessibility) and repair priorities of critical infrastructures are determined. Humanitarian aid supplies are planned to be delivered quickly to the places where they are needed most.

Damage Detection and Visualization

Post-disaster building destruction, infrastructure damage, and impacts on the natural environment are visualized with 3D models. These visuals help response teams determine which areas to prioritize. Damage intensity maps are also used in insurance and reconstruction processes.

Artificial Intelligence and Machine Learning

It analyzes disaster data to better predict recurring risks and possible outcomes. It creates more accurate scenarios based on data collected over time. It optimizes intervention strategies with post-disaster data.

Sustainability and Restructuring

The most appropriate reconstruction scenarios are suggested for infrastructure and superstructures destroyed after a disaster. Analysis is made for environmentally friendly and durable building designs. It guides the construction of cities that are more resilient to disasters in the long term.

Digital Twin Disaster System Management

1. Risk Analysis and Mapping

We take the first step against disasters by identifying potential risks:

  • Real-Time Data Collection: We integrate data from meteorology, seismic activity, and weather conditions.

  • Defining Risk Areas: Our mapping tool provides detailed risk analysis for disaster types such as floods, earthquakes, and fires.

  • Scenario Simulations: Different disaster scenarios are created to foresee potential impacts in advance.

2. Early Warning Systems

To predict disasters beforehand, we offer an advanced infrastructure:

  • Sensor Integration: We ensure real-time data flow with IoT devices.

  • Machine Learning Algorithms: We generate early warnings by learning from historical and real-time data.

  • Notification System: Alerts are delivered on time via SMS, email, and mobile applications.

3. Disaster Management and Emergency Planning

For effective management during disasters:

  • Evacuation Planning: We determine safe evacuation methods and prioritize high-risk areas.

  • Resource Management: We ensure the efficient placement of personnel and equipment.

  • Uninterrupted Communication: We establish alternative communication channels to maintain connections during emergencies.

4. Impact Prediction and Management

To manage pre- and post-disaster processes effectively:

  • Damage Estimation: We predict the levels of impact on buildings, infrastructure, and the environment.

  • Cost Analysis: We forecast repair and support costs to enable strategic prioritization.

5. Social Aid and Coordination

For effective assistance and support during crises:

  • Safe Zone Management: We identify shelters and aid centers.

  • Integration with Stakeholders: We optimize collaboration with public institutions and NGOs.

  • Data Sharing: We ensure transparent and effective information flow.

6. Continuous Improvement and Feedback

We consider feedback and analysis to improve our disaster module:

  • Reporting: We analyze post-disaster processes in detail to provide solution recommendations.

  • User Feedback: We actively evaluate user experiences to enhance the module further.

7. Simulations and Drills

To support training and preparedness processes:

  • Virtual Drills: We offer interactive simulations to improve users’ crisis management skills.

  • Training Materials: We provide various resources and materials on disaster management.

Conclusion

Our disaster module has been developed to design a safer future for cities, institutions, and individuals. Our platform offers an innovative perspective aimed at reducing the impact of disasters while protecting human lives and infrastructure.

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