会议议程

报告题目：关于制造数字孪生之浅见

报告题目：【从工业大数据到工业大模型：数字孪生技术发展的途径】

报告题目：【人工智能赋能高端装备创新发展的探索】

报告题目：【Advancing Smart Manufacturing by Smart AI Algorithms】

报告简介：

As emerging technologies, artificial intelligence (AI) and collaborative robots have attracted increasing attentions in recent years, both in academia and in industry. For example, in human-robot collaborative assembly, robots are often required to dynamically change their pre-planned trajectories and control parameters to collaborate with humans in a shared workspace. Moving into the future, the relationship among AI, robots and humans is essential where human-centricity should be placed centrally in any AI-enabled human-robot systems, to ensure sustainability and resilience in future factories. In response to the need of better adaptability, human motion prediction for example is crucial for both collision avoidance and proactive assistance of robots to humans, in addition to multi-modal robot control and in-situ operator support. AI is proven to be useful for classification, recognition and context awareness identification. Within the context, this presentation first provides a snapshot of AI history, and then offers a futuristic perspective on the latest advancement and technical treatments of relevant technologies employed in human-centric assembly. Remaining challenges and future research directions will also be briefly highlighted.

报告题目：【Cognitive Digital Twins to support service-oriented manufacturing - an OPC UA approach】

报告简介：

Manufacturing is transitioning from being product-based to service-based, meaning manufacturing integrates products with services to provide customers with comprehensive solutions. Companies that adopt this approach aim to provide producer services for one another, forming a service-oriented manufacturing network. One way to enable such a network is through the concept of cloud manufacturing. Cyber-physical Systems, as a key technological fundamental of Industry 4.0, are offering new “ideas” and enabling tools in the realization of the cloud manufacturing scenario. A key element in a Cyber-physical System is Cyber Twin otherwise commonly known as Digital Twin. Digital Twins, when embedded with cognitive capabilities, offer enhanced perception and decision-making. OPC Unified Architecture (OPC UA) is a machine-to-machine communication protocol used for industrial automation and, more specifically, for enabling digital twins to communicate with field-level devices. Compared to other established fieldbus solutions, only OPC UA technology scales from the sensor to the cloud and back, transporting standardized information models via secure communications across plant networks in a way that streamlines the deployment and operation of service-oriented manufacturing implementations. This talk will provide an overview of the background, concepts, and key technologies underpinning Cognitive Digital Twins in service-oriented manufacturing, highlighting the role of OPC UA in realizing these advanced manufacturing scenarios. 

报告题目：【浅析智能工厂中的数字孪生技术与应用】

报告简介：

智能制造是促进我国从制造大国转向制造强国的根本技术，而智能工厂作为智能制造的核心技术正广泛得到推广并深刻影响我国制造业的发展，近年来，数字孪生的兴起正进一步丰富智能工厂技术内涵，并在生产过程中得到了实际应用。本次报告将介绍智能工厂技术需求，分析智能工厂的发展趋势，介绍数字孪生技术在智能产线中的应用情况和案例，从支撑人工智能发展的工业网络以及软硬件基础角度出发，研判AI大模型、芯片算力等新一代人工智能技术在智能工厂应用中的发展前景，以及对数字孪生的应用形态等做了一些个人的思考。

报告题目：【数字孪生再思考及未来趋势探讨】

报告简介：

结合国内数字孪生学术会议八年发展历程，以及国内外数字孪生研究与应用实践现状，从数字孪生成熟度角度，再次探索讨论“何为数字孪生”。在此基础上，从产品或系统生命周期角度和复杂系统级数字孪生应用需求出发，探讨数字孪生系统工程概念和发展趋势。最后对数字孪生未来若干可能研究趋势进行讨论。

报告题目：【卫星规模化柔性装配生产线关键技术】

报告简介：

分析当前卫星规模化制造的薄弱和瓶颈环节，指出卫星规模化装配生产线的柔性化、敏捷化、智能化、标准化和互联化等五个主要特征，给出构建生产线的四个关键成果，包括适应多品种卫星变批量制造的“四化”产业新模式、多品种变批量卫星柔性生产线规划与重构、人机共融的总装集成装备研制、数字孪生驱动的装配生产线智能管控系统等，最后阐述了成果产业化推广成效。

报告题目：【基于数字孪生的智能工厂能碳精益管控】

报告简介：

探讨我国离散制造企业在双碳领域发展的挑战与机遇，提出数字孪生驱动的“碳核算-碳诊断-碳减排”技术路径。通过物理实体对能源、物料、碳排放数据进行全面智能感知与管理；结合大数据、工业互联网等技术，通过虚拟实体集成碳排放核算模型，在线监测、核算、挖掘、评价、预测等，实现碳排放的精确透明化管控；通过孪生平台集成应用数字化精益管理、OEE 管理、价值管理手段服务于设备、产线、车间、工厂的智能优化调控。在上述研究基础上，搭建符合工业领域碳达峰碳中和需求的双碳大数据与智能精益管控孪生平台。

报告题目：【高档数控机床数字孪生关键技术及其应用】

报告简介：

高档数控机床是国家战略层面的基础制造装备。数字孪生是保证和提升高档数控机床精度和性能的关键技术之一。围绕高档数控机床数字孪生建模、仿真、预测与控制等方面的难题，团队在精密数控机床数字孪生多要素建模、加工误差实时预测、加工精度自适应控制、关键部件智能运维等方面开展了系统的研究，研发了精密数控机床数字孪生系统，并应用于五轴磨铣复合中心、高精度数控立式复合磨床等系列高档数控机床的研发。