Figure 1, Digital Twin image

图1, 数字孪生图像




Engineering companies are dependent on effective information management to control, design and build new assets such as bridges or refineries. They are expected to handover an operations ready physical asset and the required information for their customer to maintain and operate the asset.




A key facilitator to this is the creation and maintenance of a Digital Twin (or information asset) that shadows the physical asset through its lifecycle, by providing an evolving accurate virtual 3D model of the asset with all necessary data and documents provided in context. This Digital Twin is evolved through build and then kept up-to-date beyond as changes and maintenance planning is applied through its operational lifecycle.




Figure 2, Digital Twin Architecture

图2, 数字孪生架构


The Digital Twin provides a complete and accurate definition of the deployed infrastructure and its hierarchy, as well as, providing easy contextual access to the kept processes and procedures needed to run the asset effectively through its operational lifecycle.




The Digital Twin is subject to management processes and tools in the same way as the physical asset. It must be planned, deployed and managed in accordance with best practice methodologies and tools. Building the Digital Twin starts as soon as possible in the project lifecycle and its content must be enhanced by all action parties including vendors in the global supply chain, throughout the project and asset operations lifecycles.




Project owners must clearly specify the expectations of contributing third parties such as engineering design offices, equipment manufacturers and construction partners. These third parties are expected to provide the required quality of information to build the Digital Twin and sustain it as changes are applied to the physical twin.




The Digital Twin has two main user stakeholders a) the project team – tasked with designing, building and handing over the asset and b) the operations (maintenance) team – tasked to operate the plant with all its various systems and sub-systems (including maintenance systems such as Maximo or SAP PM).


使用数字孪生系统时,有两个利益攸关方:1,项目团队,负责设计、建设,并交付;2,运营运维团队,负责运营基建平台,这会涉及到各种不同的系统与相关子系统(比如Maximo 或 SAP PM)。


The software market contains many vendors offering readymade solutions to help companies manage their Digital Twin in an integrated manner with their engineering and maintenance activities.  Vendors include Siemans , Autodesk, Hexagon (Integraph), Cadence, Bentley, Aviva amongst others.




For project teams Digital Twins provide transparency and insights on required actions needed to address delivery risks. For asset operations they help drive optimisation and efficiency in operating the delivered asset.




Well managed Digital Twins can also help show material waste, assist with reuse of design, drive standardisation and avoid repetition of design work from project to project. Collecting all engineering and operational data centrally over time (often called the digital thread) mitigates risk of common oversights that occur when data is spread across multiple, disparate systems.




And finally, adding in models and analytics to describe the behaviour of operational assets creates the ‘brain’ of the digital twin, enabling it to predict what may occur in the future and provide proactive guidance on how to respond for the best overall outcomes.




Figure 3, Digital Twin Operation involves many systems and data streams, as well as partners 

图3, 数字孪生的运营,汇集多个系统与参与方


The ‘Digital Twin’ and emerging engineering and operations digital solutions, integrated with it, also help projects to better prepare for what is next in a project or maintenance schedule by improving decision making based on Trusted Engineering Information, available globally to all participants in Asset delivery and operations.




Uptake of Digital Twin concepts and related best practices, is growing rapidly in Infrastructure projects, as a facilitator for collaboration of distributed teams, remote working and running fast changing global supply chains; all of which is needed to deliver projects at affordable prices and within stretch timeline targets.




Companies are addressing project costs by using Digital Twins to underpin flexible workflows and solutions designed to automate repetitive tasks.  Sharing of Data Twins with Third Party collaborators is improving functional and commercial integration.





                                                                                                                                                        图4, 凌锐蓝信数字网络架构,基于业务导向的网络


For Digital Twins and global delivery models to work they need high performance and cost effective datacoms that can adapt to ever changing connectivity challenges on a global scale. Digital Networking Solutions such as those offered by InfoQuick are proven to support such needs on a global scale, including their patented technology of “Back to Source Data Access Acceleration” and the Private SecHX protocol (follows IETF RFC 8926, GENEVE Standard).  


数字孪生与全球交付模式,需要高性能低成本而且安全的数据通讯手段,才能适应不断变化的网络连接挑战。凌锐蓝信提供的数字网络方案,包括其专利技术“动态数据回源加速”与私有底层协议SecHX(遵循IETF RFC 8926的GENEVE标准),已经被证明完全支持数字孪生这样的关键应用,保障在复杂多方多系统场景下的合规、安全、高效运营。




凌锐蓝信资深专家兼英国分部负责人—B.Lynas先生拥有丰富的大型石油天然气企业IT架构设计与实践经验,特别在SAP/ERP领域有独到之处。Lynas先生于1984年获得伯明翰大学计算机软件工程学士学位,且获得大学少有的荣誉毕业生称号,在石油行业IT领域拥有35年工作经验,历任Shell(壳牌)英国区商业分析设计师, Shell欧洲区特聘关键项目总监,Shell全球特聘项目主管,Shell 集团IT部长兼商业分析部主管,Shell全球DRM北半球主管等。