MuhanIT submitted 'AiMAPS EWMS ver1.1', a real-time disaster prediction and warning solution based on big data and artificial intelligence (AI).

This product is a comprehensive management system for collecting and analyzing usual measurement and observation information, managing and monitoring disasters, and radio waves. It is used in the Internet of Things (IoT)-based disaster and safety field.

△Early warning system for public enterprises △ Inundation prediction service for provincial, metropolitan, and basic local governments △ IoT sensor monitoring at construction sites of large construction companies △It is used to build IoT-based digital twin platforms.

It is characterized by expressing the field situation on the real-time situation board. It also sets thresholds for each IoT sensor and spreads real-time situations. It provides a linkage module for automatic sensor information collection. It is equipped with a flood prediction simulation function.

The effect of use is great. It can respond quickly to disasters as it groups closed-circuit (CC) TVs and IoT information by region and integrated control. Through this, the loss of life by local governments is minimized. Maximize deployment cost savings by selling solutions. If more than 200 local governments across the country are applied, including 200 million won reduction per location, 40 billion won in cost savings is expected.

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"The demand for systems to monitor and control disaster situations has increased due to global warming and increased localized heavy rains," said Bae Kyung-rok, CEO of MuhanIT. "We will provide solutions to solve this problem and improve the service by patching the functions required by local governments."