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DHL 在德国 DHL 创新中心举行的首届物联网 (IoT) 日上发布了一份关于“物流中的数字孪生”的新趋势报告。该报告解释了数字孪生的概念和兴起，以及它如何创造价值。这项涉及使用数字模型更好地理解和管理实物资产的技术已经在某些行业得到很好的应用，并有可能显着改变物流运营。

　　数字孪生是物理事物的独特虚拟表示，可监控和模拟事物的物理状态和行为。数字副本不断连接到物理对象并更新自身以反映现实世界的变化。应用于产品、机器甚至整个商业生态系统，数字孪生可以揭示过去的见解，优化现在，甚至预测未来的表现。

　　“数字孪生市场预计每年增长 38% 以上，到 2025 年将超过 260 亿美元大关，”DHL gaoji副总裁兼创新与商业发展全球主管 Matthias Heutger 解释说。“数字孪生提供了的跟踪、监控和诊断资产的能力。它们将改变传统的供应链，提供一系列选项来促进数据驱动的决策和协作、简化的业务流程和新的业务模式。我们热衷于与我们的客户和合作伙伴合作，共同探索我们行业的应用。”

　　数字孪生的物流应用

　　在物流中，数字孪生可用于整个价值链中的各种应用，包括集装箱车队管理、运输监控或物流系统设计。例如，单个容器上的物联网传感器显示其位置并监控损坏或污染。这些数据流入容器网络的数字双胞胎，它使用机器学习来确保尽可能高效地部署容器。数字孪生不仅可以应用于单个资产，还可以应用于整个网络和生态系统，例如仓库，将设施的 3D 模型与库存和运营数据相结合。该系统将能够提供机器状态和产品可用性的概览，并可以对库存或交付做出预测和自主决策。

　　DHL 客户解决方案与创新部创新与趋势研究副总裁 Markus Kückelhaus 补充道：“在物联网、云计算、人工智能和先进的可视化工具的支持下，数字孪生正成为公司更具吸引力和更容易获得的选择。然而，将这些和其他相关技术整合到一个完整的数字孪生实施中是一项复杂且具有挑战性的任务。因此，价值链上所有合作伙伴之间的密切合作对于充分挖掘潜力至关重要。”

　　在趋势报告中，DHL 研究了实施方面的挑战，例如网络安全问题，但强调实施数字事物的商业案例正变得越来越引人注目。随着相关技术变得更加可靠和实惠，许多行业的企业将发现数字双胞胎在实时管理复杂的资产系统和提高流程效率方面非常宝贵。报告考虑了在物流中成功实施数字孪生所需的投资和变革。

　　DHL has released a new Trend Report on “Digital Twins in Logistics” at the inaugural Internet of Things (IoT) Day, at DHL’s Innovation Center in Germany. The report explains the concept and rise of digital twins as well as how it creates value. The technology, which involves using digital models to better understand and manage physical assets is already well established in some industries and has the potential to significantly change logistics operations.

　　A digital twin is a unique, virtual representation of a physical thing that monitors and simulates both the physical state and behavior of the thing. The digital copy is continually connected to the physical object(s) and updates itself to reflect real-world changes. Applied to products, machines and even entire business ecosystems, digital twins can reveal insights from the past, optimize the present and even predict future performance.

　　“The market for digital twins is expected to grow more than 38 percent each year, passing the $26 billion mark by 2025,” explains Matthias Heutger, Senior Vice President, Global Head of Innovation & Commercial Development at DHL. “Digital twins offer unparalleled capabilities to track, monitor, and diagnose assets. They will change traditional supply chains, with a range of options to facilitate data-driven decision making and collaboration, streamlined business processes, and new business models. We are keen to work with our customers and partners to jointly explore applications in our industry.”

　　Logistics applications of digital twins

　　In logistics digital twins could be used in a variety of applications along the entire value chain, including the management of container fleets, monitoring of shipments or the design of logistics systems. IoT sensors on individual containers for example, show their location and monitor for damage or contamination. This data flows into a digital twin of the container network, which uses machine learning to ensure that containers are being deployed as efficiently as possible. Digital twins can be applied not only for individual assets but entire networks and ecosystems such as warehouses, combining a 3D model of a facility with inventory and operational data. The system would be able to provide an overview of the state of machines and product availability and could make predictions and autonomous decisions about stock or deliveries. The same principle applies to major logistics hubs or global logistics networks.