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数字孪生

通过数据驱动和基于仿真的数字孪生软件实现运营转型

数字孪生的业务价值

过去,工程仿真软件一直被用于新产品设计,但随着先进的嵌入式传感器的出现,工程师现在可以使用这些数据来创建数字孪生。数字孪生可用于实时系统分析,以支持预定的预测性维护并实施性能优化。借助Ansys的混合分析功能,通过将基于机器学习(ML)的分析与基于物理的方法相结合,工程师可以使用预测分析来达到业界领先的准确性。

免费试用数字孪生

构建、验证、部署和扩展

使用Ansys Twin Builder构建和验证、部署和扩展混合数字孪生

使用Ansys Twin Builder构建和验证、部署和扩展混合数字孪生

Ansys数字孪生

Ansys数字孪生软件的优势

Ansys Twin Builder使您能够部署真实系统的完整虚拟原型。这些原型经过部署,可用来管理产品和资产的整个生命周期。这种数字孪生仿真模式,使您能够逐步地大幅提高效率,并根据预测方法安排维护,而这些方法通过实际测试和响应会变得更加准确。通过访问这些信息,工程师可以从现有设备资产中解锁更多价值,从而防止计划外停机并降低运营成本,同时以最佳效率开展工作,所有这些都能通过与物联网(IoT)平台无关的技术实现。

数字孪生产品

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January 2025

What's New

Ansys 2025 R1 enhances its digital twin capabilities with hybrid analytics, scaled deployment, and new features for improved flexibility and usability. Key updates include the Ansys Unified Installer, a scriptable Python interface for reduced order models (ROMs), and enhancements to hybrid analytics post-processing. Ansys TwinAI now supports SysML v2 snippet export, menu-based help, expanded file export options, and new examples for PyAEDT and PyTwin to streamline development.

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Webinars

Ansys

Ansys 2025 R1: Ansys Digital Twin What’s New

Join this webinar to learn about Ansys 2025 R1 Digital Twin updates, featuring hybrid analytics, improved flexibility, and new tools for enhanced usability.

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面向混合数字孪生的Ansys技术

将物理场与数据建模相结合,实现实时监控、预测性维护和性能优化。 

Electrified powertrain system integration

集成式电气化动力总成系统

使用Ansys仿真软件集成高度复杂的电动汽车和混合动力汽车总成系统,以及其子系统和组件。

数字孪生自动化

专题网络研讨会

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Ansys TwinAI: Combining Physics Accuracy with Data- Driven Insights

Learn how Ansys TwinAI integrate the accuracy of physics models with insights from real-world data powered by AI techniques.

On Demand Webinar
Ansys Digital Twin and Tata Steel
How Digital Twin is a Game Changer for Tata Steel Nederland to Achieve Their Targets

Hear from Tata Steel Nederland experts, who will uncover how they are digitalizing the thermal process management for their iron & steelmaking plants. Using simulation-based digital twins and AI/ML techniques, they can now pursue their initiatives in energy consumption optimization. 

ON DEMAND WEBINAR
PyTwin
Ansys Digital Twin and ROMs with PyTwin

Learn about the latest updates of the PyAnsys package PyTwin, which gives easy access to the power of Ansys Digital Twin Runtimes through Python. The webinar will detail PyTwin and the APIs for users to implement their Python applications.

ON DEMAND WEBINAR
Mechanical Modal ROM
Boost Simulation with Reduced Order Models using Ansys Twin Builder

Discover the core concepts behind ROMs, their benefits, and their applications across various industries. Learn how to create, validate, and deploy ROMs within Ansys Twin Builder.

On Demand Webinar
EV batteries
Streamlining EVs from Design to Operations with Ansys Hybrid Digital Twins

Learn about the different use cases of twin integration with IIoT. Participants will gain insights on AI, COVESA EV powertrain optimization, and more. Ansys experts will also showcase the live demo of this solution.

On Demand Webinar
PyAnsys
Creating and Exploiting a Bioreactor Digital Twin

What if you could almost instantaneously predict the likely evolution of a bioreactor exposed to adverse internal or external events so that you can take corrective measures?

This customized digital twin solution is available and used by large biopharmaceutical companies.


案例研究

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Ansys + UKAEA

UKAEA, with the help of Ansys Twin Builder, worked toward creating a fusion component digital twin used for the virtual testing and monitoring all the components of a fusion reactor test rig called “CHIMERA.”

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Ansys + GSK

GSK team used Ansys Twin Builder’ ROMs to overcome the inconsistencies observed in the performance of their processes and cell lines between different bioreactor scales.

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Ansys + HSD Mechatronics

The HSD engineering team relies on Ansys simulation software and Ansys Twin Builder to engineer their existing electrospindle designs for maximum performance, power density, durability, and consistency over time.

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Ansys + KTM MotorCross

The inclusion of a virtual battery pack helped KTM team identify and eliminate potential problems in battery design, including design issues early in the development process.

WHITE PAPERS & ARTICLES

Edge Computing: New Support for Digital Twins

Discover how edge computing leverages local resources that are close to the physical product’s location, which reduces latency while improving responsiveness, agility, and privacy.  


Videos

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