• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.915-938
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• 2017

This study examines the case of living lab led by intermediary and explores the development possibility as living lab platform. The analyzed cases are 'The Seoul Innovation Park Living lab', 'Korea Senior Living lab' of Seongnam Senior Experience complex, and 'Disaster Safety Living lab'. As a result of the analysis, all three cases have formed a user panel to form a living lab platform, and provide living lab service to internal and external organizations. A common feature that combines a technology platform with a 4Ps-based governance platform is identified. However, the characteristics, the meaning, and the process are different from case to case. In the future, the living lab platform needs to share learning experiences that are going on individually, since domestic living lab platform is in the early stage. Through this, it is necessary to seek collaboration and cooperation with related similar projects, and to jointly promote institutional and physical infrastructures related to living labs.

• Journal of the Society of Disaster Information
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• v.20 no.3
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• pp.484-499
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• 2024

Purpose: Recently, due to the aging of safety facilities in national industrial complexes, there has been an increase in the frequency and scale of safety accidents, highlighting the need for a shift toward a prevention-centered disaster management paradigm and the establishment of a digital safety network. In response, this study aims to provide an information system that supports more rapid and precise decision-making during disasters by utilizing digital twin-based integrated control technology to predict the spread of hazardous substances, trace the origin of accidents, and offer safe evacuation routes. Method: We considered various simulation results, such as surface diffusion, upper-level diffusion, and combined diffusion, based on the actual characteristics of hazardous substances and weather conditions, addressing the limitations of previous studies. Additionally, we designed an integrated management system to minimize the limitations of spatiotemporal monitoring by utilizing an IoT sensor-based backtracking model to predict leakage points of hazardous substances in spatiotemporal blind spots. Results: We selected two pilot companies in the Gumi Industrial Complex and installed IoT sensors. Then, we operated a living lab by establishing an integrated management system that provides services such as prediction of hazardous substance dispersion, traceback, AI-based leakage prediction, and evacuation information guidance, all based on digital twin technology within the industrial complex. Conclusion: Taking into account the limitations of previous research, we used digital twin-based AI analysis to predict hazardous chemical leaks, detect leakage accidents, and forecast three-dimensional compound dispersion and traceback diffusion.