E8, Expands Supply of Disaster Prevention Simulation for Corporate Data Centers
Leading digital twin company E8 announced on the 4th that it has conducted disaster simulation and prevention planning services for major domestic financial institution data centers, following last year. The target area is adjacent to forests and rivers, with terrain prone to flooding damage during the monsoon season and localized heavy rains.
In this project, E8 enhanced the accuracy of 3D modeling by reflecting the number of underground and aboveground floors and floor heights of the target building and surrounding buildings. To estimate the worst conditions caused by heavy rain, simulations were conducted without considering stormwater drainage pipes for all buildings. The impact of building flooding was analyzed under conditions of the highest hourly rainfall recorded in the past 30 years (92mm) and concentrated heavy rain (120mm) considering abnormal climate. Using E8’s simulation solution NFLOW, rainfall, water flow, sewer, and drainage pipe inflow were visualized in 3D, confirming the insufficient capacity of drainage facilities, one of the main causes of urban flooding, and measures to supplement this were established.
Through disaster simulation analysis, the client identified vulnerabilities of the data center to disasters and established prevention measures, including △confirmation of heavy rain flood damage range △planning countermeasures such as installation of flood barriers △securing evacuation routes in case of flooding △preparing abnormal climate prevention protocols through repeated simulations.
As the importance of data centers grows with the popularization of artificial intelligence (AI) and cloud technologies, companies are showing great interest in disaster simulation to build safe data centers. E8 applies digital twin technology in various fields, including not only heavy rain and flood simulations but also crowd density simulations and fire route simulations.
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An E8 representative stated, “We are enhancing simulation accuracy by integrating generative AI technology, and digital twin, which offers high cost-effectiveness, is evolving into an essential technology in our daily lives,” expressing their thoughts on the completion of the project.
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