The concept of 'digital twins' has evolved from a niche engineering tool into a cornerstone of modern infrastructure management. A digital twin is a virtual replica of a physical asset, system, or process, continuously updated with real-time data from sensors and IoT devices. This dynamic model allows engineers and urban planners to simulate scenarios, predict failures, and optimize performance without disrupting real-world operations. For instance, in smart city initiatives, digital twins of transportation networks can model traffic flow under various conditions, enabling proactive adjustments that reduce congestion and emissions. However, the reliance on massive data streams raises concerns about cybersecurity and data privacy. Moreover, the accuracy of a digital twin is only as good as the data feeding it; incomplete or biased data can lead to flawed simulations, undermining the very benefits it promises. Thus, while digital twins offer unprecedented opportunities for efficiency, they also demand robust governance frameworks to ensure reliability and ethical use.
❓ 根据文章所述，数字孪生的一个显著局限性是什么？
A. A. 对于大多数城市项目而言，它们过于昂贵。
B. B. 其预测准确性取决于输入数据的质量。
C. C. 它们无法模拟实时交通状况。
D. D. 它们消除了物理基础设施维护的需求。
✅ 正确答案
B. Their predictive accuracy depends on the quality of input data.