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。
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。
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 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。
January 2025
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.
Learn how Ansys TwinAI integrate the accuracy of physics models with insights from real-world data powered by AI techniques.
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.
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.
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.
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.
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.