This chapter studies the transformative integration of Artificial Intelligence (AI) in Virtual Safety Engineering (VSE), a progression that markedly enhances hazard identification and risk control across various industries. By employing advanced technologies such as digital twins, machine learning, and real-time data analytics, VSE significantly surpasses traditional safety methodologies by providing more accurate, efficient, and dynamic risk management solutions. The chapter explores diverse applications, demonstrating how industries such as aerospace, manufacturing, nuclear energy, construction, and healthcare leverage AI-enhanced tools for safety management. This chapter highlights the capabilities of AI in optimizing safety protocols and discusses the integration of sophisticated simulation tools and software platforms that facilitate proactive safety measures. Through comprehensive examples, it illustrates the practical applications and effectiveness of AI-driven VSE in real-world scenarios, thereby underscoring its pivotal role in future safety management practices.

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Virtual Safety Engineer: From Hazard Identification to Risk Control in the Age of AI

  • Mohammad Yazdi,
  • Sidum Adumene,
  • Daniel Tamunodukobipi,
  • Abbas Mamudu,
  • Elham Goleiji

摘要

This chapter studies the transformative integration of Artificial Intelligence (AI) in Virtual Safety Engineering (VSE), a progression that markedly enhances hazard identification and risk control across various industries. By employing advanced technologies such as digital twins, machine learning, and real-time data analytics, VSE significantly surpasses traditional safety methodologies by providing more accurate, efficient, and dynamic risk management solutions. The chapter explores diverse applications, demonstrating how industries such as aerospace, manufacturing, nuclear energy, construction, and healthcare leverage AI-enhanced tools for safety management. This chapter highlights the capabilities of AI in optimizing safety protocols and discusses the integration of sophisticated simulation tools and software platforms that facilitate proactive safety measures. Through comprehensive examples, it illustrates the practical applications and effectiveness of AI-driven VSE in real-world scenarios, thereby underscoring its pivotal role in future safety management practices.