The concept of 'digital twin' has gained significant traction in industrial engineering, referring to a virtual replica of a physical system that is continuously updated with real-time data. This technology enables predictive maintenance by simulating potential failures before they occur, thereby reducing downtime and operational costs. However, the efficacy of digital twins hinges on the quality and volume of data collected, as well as the sophistication of the algorithms used to process it. Critics argue that over-reliance on such models may lead to complacency, particularly when the physical system deviates from its digital counterpart due to unforeseen environmental factors. Nevertheless, proponents maintain that with robust validation protocols, digital twins offer an unprecedented level of insight into complex machinery, facilitating more informed decision-making and optimization of performance.
❓ 이 글에서 언급된 디지털 트윈 사용에 관한 주요 우려 사항은 무엇인가?
A. A. 대부분의 산업에서 구현하기에는 너무 비용이 많이 든다.
B. B. 그들은 물리적 시스템에서 예상치 못한 변화를 고려하지 않을 수 있다.
C. C. 그것들은 효과적이기 위해 너무 많은 인간의 개입을 필요로 한다.
D. D. 그들은 기존 기계가 아닌 새로운 기계에만 유용하다.
✅ 正确答案
B. They may not account for unexpected changes in the physical system.
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