数字双胞胎是物理对象，系统或过程的虚拟模型或复制品。这就像一个数字镜，允许我们实时模拟，监视和预测现实世界实体的行为。
A digital twin is a virtual model or replica of a physical object, system or process. Like a digital mirror, it allows us to simulate, monitor and predict the behavior of real-world entities in real-time.
数字双胞胎是物理对象，系统或过程的虚拟模型或复制品。像数字镜像一样，它使我们能够实时模拟，监视和预测现实世界实体的行为。
These virtual counterparts are designed to pull data from physical sensors or inputs, providing a continuous feedback loop that helps with analysis, optimization and deception. Optimized for specific tasks, such as optimizing traffic flow in a city or simulating human behavior for marketing campaigns, digital twins can adapt and learn over time.
这些虚拟对应物旨在从物理传感器或输入中提取数据，提供一个有助于分析，优化和欺骗的连续反馈循环。数字双胞胎可以针对特定任务进行优化，例如优化城市中的交通流量或为营销活动模拟人类行为，可以随着时间的流逝而适应和学习。
In industries like healthcare, automotive, manufacturing and urban planning, digital twins are being used for better resource management, predictive maintenance and more accurate simulations before physical changes are made. In essence, they help prevent costly mistakes by modeling complex systems in the virtual world before implementing them in the real world.
在医疗保健，汽车，制造业和城市规划等行业中，数字双胞胎被用于更好的资源管理，预测性维护和更准确的模拟，然后进行身体变化。从本质上讲，它们通过对虚拟世界中的复杂系统进行建模，在将它们实施在现实世界中，从而有助于预防昂贵的错误。
However, in the blockchain and cryptocurrency sectors, digital twins have taken on a darker role. Cybercriminals are using the technology not to simulate physical objects but rather to create synthetic identities – replicas of real individuals, often derived from stolen data. These digital copies are then used to infiltrate online communities, impersonate influencers or executives, or manipulate systems for financial gain.
但是，在区块链和加密货币部门中，数字双胞胎扮演了更黑暗的角色。网络犯罪分子正在使用该技术来模拟物理对象，而是用来创建合成身份 - 实际个人的复制品，通常来自被盗数据。然后，这些数字副本被用来渗透在线社区，模仿有影响力的人或高管，或操纵系统以进行经济利益。
