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 models enable predictive maintenance by simulating potential failures before they occur, thereby reducing downtime and operational costs. However, the effectiveness of digital twins hinges on the quality and granularity of the data collected. Sparse or biased data can lead to inaccurate simulations, undermining their reliability. Moreover, the integration of digital twins into legacy infrastructure poses substantial technical challenges, requiring significant investment in sensors and connectivity. Despite these hurdles, proponents argue that the long-term benefits, including enhanced efficiency and extended asset lifespan, justify the initial expenditure, particularly in sectors like aerospace and energy where equipment failures carry high risks.
❓ Theo đoạn văn, yếu tố chính nào quyết định sự thành công của digital twins?
A. Kỷ nguyên của hệ thống vật lý mà chúng mô phỏng
B. Chất lượng và chi tiết của dữ liệu được sử dụng để cập nhật chúng
C. Chi phí ban đầu để triển khai công nghệ này
D. Quy mô của công ty áp dụng công nghệ
✅ 正确答案
The quality and detail of the data used to update them
IELTS Reading Tips
Skim the questions first, underline keywords, then locate in the passage
Watch for paraphrasing; correct answers are often reworded
Be wary of absolute statements (all, always, never) — usually wrong
Pay attention to content after transition words (however, but, yet)
Manage time: about 20 minutes per passage; skip difficult questions first