The concept of 'digital twins' has gained significant traction in industrial engineering, referring to virtual replicas of physical systems that are continuously updated with real-time data. These dynamic models enable predictive maintenance, optimize operational efficiency, and reduce downtime by simulating various scenarios before implementation. However, the efficacy of digital twins hinges on the quality and integration of sensor data, as well as the sophistication of the algorithms used to process it. Moreover, ethical concerns arise regarding data privacy and the potential for over-reliance on automated decision-making, particularly in sectors like healthcare and aviation where errors carry high stakes. Despite these challenges, proponents argue that digital twins represent a paradigm shift towards more resilient and adaptive infrastructure, provided that robust governance frameworks are established to mitigate risks.
❓ 지문에 따르면, 디지털 트윈의 효과적인 작동을 위한 핵심 요소는 무엇인가?
A. A. 자동 의사결정 시스템의 사용
B. B. 센서 데이터의 품질 및 통합
C. C. 엄격한 윤리 지침의 시행
D. D. 헬스케어 및 항공 분야에서 디지털 트윈의 도입
✅ 正确答案
B. The quality and integration of sensor data
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