Predict disasters & minimize damage with simulation Aanalysis, ‘3D GIS-based Urban Disaster Visualization Solution’

Lamilab is a software development company that has developed a 3D GIS-based Urban Disaster Visualization Solution that can perfectly cope with various disasters and natural disasters. It is a disaster safety system that helps local government officials make quick and accurate decisions and provides optimal routes for citizens to evacuate safely through AI-based scenario analysis and simulation analysis/prediction for each type of disaster. “This is a support system that enables the government to make decisions about disasters by predicting information such as the expected damage situation in the future after running a simulation based on Digital Twin for disaster issued by the city” says CEO Park Beong-yong. The Lamilab system consists of four modules: ∼ Disaster Decision Support Solution ∼ Simulation ∼ Situation Reporting App ∼ Safe Evacuation. The disaster decision support solution visualizes the expected inundation area based on numerical simulation in case of flooding and automatically detects the expected risk area according to real-time precipitation. It also monitors vulnerable areas in real time by linking inundation sensors and CCTV, and supports visualization screen saving and briefing functions (for situation reporting such as disaster broadcasting). If an earthquake occurs, it analyzes population, buildings, and hardwood damage rules through ground motion and building damage simulation, and analyzes supercomputer-based ground motion simulation technology (seismic wave propagation). It also provides animation of shaking of old public facilities with displacement sensors. 

Rapid disaster decision-making in the situation room and safe evacuation of citizens!!

The second simulation module performs distributed rainfall-runoff simulation, including: quick visualization of simulation results in 3D; input of DEM, sewer network, land cover, infiltration capacity, buildings, etc.; comparison with other data such as flood traces and predicted inundation; and display of inundation area, inundation volume, and manhole in/out quantities by time step. The third situation reporting app is a real-time communication application for disaster sites and situation rooms for quick and fast decision-making by the command center. It provides real-time communication functions for tasks such as ﹦ transmitting real-time photos and videos based on the location of field personnel; making quick decisions through location-based situation reporting; searching for map radius and filtering reports, reporters, departments, and chat rooms; and supporting report writing and policy formulation through data management functions. The fourth module is a solution for providing safe evacuation routes for citizens, a service that provides safe evacuation routes and various information to residents in areas where danger is predicted via mobile. It provides citizens with real-time risk areas and optimal evacuation routes, GPS-based directions to the nearest safe shelter, shelter information system (capacity, contact information, etc.), and optimal route generation by integrating various road data (road name address, MOLIT standard node link). In conclusion, the above four modules can be considered as an all in one solution that helps to establish a quick and accurate work system in the field and situation room in the event of a disaster, helping to make quick situational judgments and decisions, and minimizing the damage to citizens. 

▲ Lamilab / Park Beong-yong

Use it for general government work

It can be applied to any general situation. Daejeon Jung-gu Office is expanding the scope of use to general tasks such as festivals, events, and social welfare, as it believes it will be of great help in administrative tasks for safety management in everyday life. In August, Lamilab’s platform was actively utilized at the 0 o’clock festival held in Daejeon, where it was installed in the Festival command center and helped the tourism festival team operate the command center. In addition, the environment and cleaning team reported the status of environmental maintenance such as garbage collection in real time, and the sanitation and public health team actively used it to prevent various safety accidents such as food poisoning prevention promotion and inspection. In addition, the platform was also utilized for traffic and illegal parking enforcement. The company is also developing a technology that detects only information about flooding from CCTV footage. The solution is to measure the depth level of the city being submerged in the video, analyze the physical model in a simulation, and check the results in real time for flood prediction. If a levee breaks due to heavy rainfall, you can see in real time how far the flooding will progress in an hour. The solution is being tested with Seocho-gu, Seoul, at Gangnam Station, Sadang Station, and Gyodae Station, which were severely flooded by heavy rains in 2020. Since the local government uses the existing equipment such as CCTV and only installs the software, it does not cost much, so the local government is considering actively introducing it after the demonstration.