Mapmost

Natural Disaster & Engineering Safety

This solution covers monitoring and early-warning system building for typhoons, heavy rain, droughts, floods, avalanches, debris flows and more. With “precision smart governance of emergency risks” as the core need and “greatly improving prediction, warning, forecasting and command-rescue capability” as the key goal, it builds a disaster prevention mechanism based on real-time sensing, risk assessment, emergency decision-making and coordinated response — and plans a full-process disaster monitoring and early-warning platform on this foundation.

Support

sales@mapmost.com

+86 512 6763 2003

Solution Video

Construction Approach & Core Value

Sensing Device Data Access

Connecting sensors and surveillance cameras deployed in disaster-prone areas, the system collects disaster-related data in real time — temperature, humidity, rainfall, wind speed, seismic waves and more

Digital Twin Base Construction

Digital twin technology fuses with cloud computing, big data, IoT and mobile internet to deliver comprehensive analysis for natural-disaster emergency rescue on a single map.

Business Thematic Applications

Business applications include: disaster-correlation prediction using multi-source data; dynamic risk early warning with real-time monitoring; intelligent plan matching for rescue technical support; analyzing disaster trends and development; assessing incident impact range considering geographic and social factors; intelligently recommending evacuation plans and safe shelters; dispatching rescue forces with coordinated plans; and comprehensively analyzing emergency situations by integrating multi-domain data for monitoring, command and decision support.

Core Value

With the digital-twin platform as the foundation, front-end sensing devices comprehensively monitor triggers of various natural disasters, using disaster-chain digital model algorithms to predict the likelihood of disasters in the short, medium and long term. Combined with numerical computation models simulating disaster evolution under different warning scenarios, it helps formulate response plans — ensuring timely warnings about affected extent and impact, rapid evacuation and emergency rescue, and ultimately closed-loop disaster management across agencies.

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