英语口语考试(Oral English Test)作业要求Choose a topic to make an in-depth oral presentation, your topic shall be closely related to your major, your job or any project you have worked on. take a 5-minute video and submit by the 29th of March, 2026.作业提交要求最小作业时长5分0秒我的作业 作业类型视频作业 拍摄视频作业。在拍摄过程中你可以实时看到作业要求并有AI辅助评价你的表现,你可以根据AI的提示,反复录制多次练习将最佳表现作为最终作业提交。选择一个主题来进行一次深入的口头报告你的主题应与你的专业、工作或你参与过的任何项目紧密相关。请录制一段 5 分钟的视频并于 2026 年 3 月 29 日之前提交。——————————————————————————————————Good morning/afternoon, respected teachers. Today I’m honored to deliver a presentation on the topic of **Application and Innovation of Industrial Modeling Engine in Manufacturing Digitalization**. As a postgraduate majoring in Engineering Management and an engineer engaged in industrial modeling engine software development, I have been deeply exploring how this technology empowers the digital transformation of the manufacturing industry. My presentation will cover three parts: the core definition of industrial modeling engine, its practical applications in current industrial scenarios, and the future development trends I’m focusing on now. First of all, let’s clarify what an industrial modeling engine is. Simply speaking, it is a core software framework that realizes the parametric modeling, 3D visualization and data-driven simulation of industrial products and production processes. Different from ordinary 3D modeling software, the industrial modeling engine is characterized by **industrialization, customization and integration**. It can accurately fit the design standards, manufacturing processes and quality requirements of different industrial fields, and realize the seamless connection with enterprise management systems, industrial Internet platforms and intelligent production equipment. Its core value lies in turning the physical industrial assets and processes into digital models, laying a solid foundation for the digital twin, intelligent manufacturing and supply chain collaborative management of enterprises. For my daily work, the key research and development directions include optimizing the parametric modeling algorithm of the engine, improving the real-time rendering efficiency of 3D models, and enhancing the compatibility of the engine with various industrial software and hardware interfaces. Secondly, I’d like to talk about the practical applications of industrial modeling engine in the current industrial field, which is also the focus of my daily work projects. On the one hand, it is widely used in the **design and development of non-standard mechanical equipment**. In the process of non-standard equipment design, engineers can use the industrial modeling engine to build parametric 3D models. By adjusting key parameters such as equipment size, structural form and motion path, they can quickly complete the scheme design and iteration, which greatly shortens the research and development cycle and reduces the design cost. Taking the non-standard automation production line design project I participated in before as an example, with the support of the self-developed industrial modeling engine, the design cycle of the whole production line was shortened by 30% compared with the traditional method, and the design error rate was reduced by more than 20%. On the other hand, the industrial modeling engine is an important core technology in the construction of **digital twin workshop**. It can realize the real-time mapping of the physical workshop and the digital workshop by collecting the real-time operation data of the production equipment and fusing it with the 3D model of the workshop. Through this digital twin model, enterprises can monitor the production process in real time, predict equipment failures, and optimize the production scheduling scheme, thus improving the overall efficiency of the workshop and reducing the production loss caused by equipment downtime. In addition, in the field of new energy vehicle supply chain, the industrial modeling engine can build digital models of core components such as power batteries and drive motors, realize the whole-life-cycle data tracking and quality management of components, and effectively improve the stability and reliability of the new energy vehicle supply chain. Finally, I’d like to share the future development trends of industrial modeling engine that I’m currently paying attention to and researching. The first trend is the **deep integration with artificial intelligence technology**. By integrating AI algorithms such as machine learning and generative AI into the industrial modeling engine, the engine can realize intelligent design recommendation, automatic model optimization and intelligent fault diagnosis, which further liberates the labor of engineers and improves the intelligence level of industrial modeling. The second trend is the **development towards lightweight and cloudization**. With the popularization of the industrial Internet, the demand for remote collaborative design and cloud-based modeling is increasing. Therefore, optimizing the lightweight processing technology of 3D models and developing cloud-based industrial modeling engine has become an important research direction. This can realize the multi-terminal access and real-time collaborative editing of industrial models, which is especially important for the cross-regional collaborative design and supply chain collaborative management of large manufacturing enterprises. The third trend is the **in-depth customization for vertical industries**. Different industrial fields such as new energy vehicles, aerospace and mechanical manufacturing have their own unique industrial characteristics and technical requirements. Therefore, the industrial modeling engine needs to carry out in-depth customized development for different vertical industries, and form industry-specific solutions to better meet the actual needs of enterprises. In my future research and work, I will focus on the integration of industrial modeling engine and new energy vehicle industry, and strive to develop a set of industrial modeling engine solutions suitable for the whole life cycle of new energy vehicle products, so as to provide technical support for the digital transformation of the new energy vehicle industry. To sum up, the industrial modeling engine is a core key technology in the process of manufacturing digitalization. It has important practical value in industrial design, digital twin construction and supply chain management. With the deep integration of artificial intelligence, cloud computing and other emerging technologies, the industrial modeling engine will play a more important role in the future intelligent manufacturing development. In the process of my postgraduate study and work, I will continue to deepen the research and development of industrial modeling engine technology, combine theoretical knowledge with engineering practice, and strive to make my own contributions to the digital transformation of the manufacturing industry. Thank you for your listening!