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01.01.2025Область исследования
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This article introduces an ontological model of digital twins and explores their classification specifically in the context of ensuring human life safety. The paper delves into how digital twins - virtual replicas of physical systems or processes - can be used to improve safety standards, especially in high-risk industries like oil and gas. By simulating real-world scenarios and potential hazards, digital twins provide valuable insights that can help predict and mitigate risks before they impact human life. The article also highlights various examples of digital twins successfully applied to enhance safety measures, such as monitoring dangerous environments, predicting equipment failures, and providing real-time data to improve decision-making during emergencies. Moreover, the prospects for developing digital twins are discussed, particularly in integrating advanced technologies like artificial intelligence, machine learning, and IoT. These advancements could significantly enhance the capabilities of digital twins in safeguarding human life, making them an indispensable tool in industrial safety and risk management practices. © 2024 Copyright for this paper by its authors.DOI
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Digital twins in ensuring human life safety.pdf