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公开(公告)号：EP3232346A1
公开(公告)日：2017-10-18
申请号：EP17164711.8
申请日：2017-04-04
CPC分类号： G06F17/5009 , G06T19/006 , G06T2210/61
摘要： Embodiments of the present invention provide an augmented reality by defining a model representing a real-world system. After defining the model, a plurality of model simulations are performed using the defined model which produce predicted field data that is stored in memory. In turn, data from one or more sensors in the real-world system is received and the defined model is calibrated using the received field data relative to the stored predicted field data. Then, an augmented reality of the real-world system is provided using the calibrated model.
摘要翻译： 本发明的实施例通过定义表示真实世界系统的模型来提供增强现实。 在定义模型之后，使用产生存储在存储器中的预测场数据的定义模型来执行多个模型模拟。 接着，接收来自真实系统中的一个或多个传感器的数据，并使用所接收的相对于所存储的预测场数据的场数据来校准所定义的模型。 然后，使用校准模型提供真实世界系统的增强现实。
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公开(公告)号：EP3502933A1
公开(公告)日：2019-06-26
申请号：EP18212155.8
申请日：2018-12-13
IPC分类号： G06F17/50
摘要： Unlike existing methods that rely on a manual procedure for setting conditions for performing computer-based simulations, embodiments automatically set conditions for a simulation of a real-world object represented by a computer aided design (CAD) model. In one such embodiment, the morphology of a CAD mode is analyzed to identify a function of an element of the CAD model. In turn, conditions for a simulation are defined based upon one or more rules corresponding to the identified function of the element of the CAD model, where said defining includes automatically setting conditions in a simulation of the real-world physical object.
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公开(公告)号：EP3035219A1
公开(公告)日：2016-06-22
申请号：EP15201084.9
申请日：2015-12-18
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , G06F17/10 , G06F17/50
摘要： Embodiments provide methods and systems for constructing surrogate models for use in interactive experiences. One such embodiment begins by defining a model that includes a parametric state vector and a design variable vector and represents a real world system. Next, a first and second experiment are performed to determine a response over time of the parametric state vector and to produce a dataset of the parametric state vector and the design variable vector as a function of time. The dataset is then modified with one or more derivatives of the parametric state vector and a set of surrogate differential equations is constructed that approximates a higher derivative of the parametric state vector relative to that in the dataset and the set of surrogate differential equations is stored as a surrogate model. The surrogate model is in turn provided from memory in a manner accelerating simulated behavior in response to user-interaction with the model.
摘要翻译： 实施例提供了用于构建用于交互式体验的代理模型的方法和系统。 一个这样的实施例开始于定义包括参数状态向量和设计变量向量并且表示真实世界系统的模型。 接下来，执行第一和第二实验以确定参数状态向量随时间的响应，并且产生作为时间的函数的参数状态向量和设计变量向量的数据集。 然后用参数状态向量的一个或多个导数修改数据集，并且构造一组代数微分方程，其相对于数据集中的参数状态向量近似于参数状态向量的较高导数，并且替代微分方程组被存储为 代理模式。 替代模型反过来又通过与模型的用户交互来加速模拟行为的方式从内存提供。
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公开(公告)号：EP3739495A3
公开(公告)日：2021-02-17
申请号：EP20171168.6
申请日：2020-04-23
IPC分类号： G06F30/27 , G06F113/10
摘要： A method includes simulating a process, with computer-based software, to produce virtual data about the process; identifying process parameters for a real-world version of the process; providing a real-world sensor to sense a parameter associated with the real-world version of the process; receiving sensor readings from the real-world sensor while the real-world version is being performed; and training a machine-learning software model to predict a behavior of the real-world sensor based on the virtual data about the process, the process parameters, and the sensor readings.
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公开(公告)号：EP3739495A2
公开(公告)日：2020-11-18
申请号：EP20171168.6
申请日：2020-04-23
IPC分类号： G06F30/27 , G06F113/10
摘要： A method includes simulating a process, with computer-based software, to produce virtual data about the process; identifying process parameters for a real-world version of the process; providing a real-world sensor to sense a parameter associated with the real-world version of the process; receiving sensor readings from the real-world sensor while the real-world version is being performed; and training a machine-learning software model to predict a behavior of the real-world sensor based on the virtual data about the process, the process parameters, and the sensor readings.
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公开(公告)号：EP3499468A1
公开(公告)日：2019-06-19
申请号：EP18212148.3
申请日：2018-12-13
IPC分类号： G06T17/20
摘要： Unlike existing methods that rely on manual procedures for repairing finite element meshes in computer-based simulations, embodiments automatically repair finite element meshes for use in simulations of real-world objects. One such embodiment begins by identifying a non-compliant mesh element in a finite element mesh and extracting a mesh patch from the finite element mesh that includes the identified non-compliant mesh element. To continue, an invariant patch description for the extracted mesh patch is generated and a repair solution corresponding to the generated invariant patch description is obtained from a database storing pre-determined repair solutions. In turn, the mesh patch in the finite element mesh is repaired using the obtained repair solution.
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