公开(公告)号：US20230359864A1

公开(公告)日：2023-11-09

申请号：US18043400

申请日：2020-08-31

申请人： Siemens Corporation ,  SIEMENS INDUSTRY, INC.

发明人： Martin Sehr ,  Eugen Solowjow ,  Wei Xi Xia ,  Shashank Tamaskar ,  Ines Ugalde Diaz ,  Heiko Claussen ,  Juan L. Aparicio Ojea

IPC分类号： G06N3/045

CPC分类号： G06N3/045 ,  G05B13/027

摘要： An edge device can be configured to perform industrial control operations within a production environment that defines a physical location. The edge device can include a plurality of neural network layers that define a deep neural network. The edge device be configured to obtain data from one or more sensors at the physical location defined by the production environment. The edge device can be further configured to perform one or more matrix operations on the data using the plurality of neural network layers so as to generate a large scale matrix computation at the physical location defined by the production environment. In some examples, the edge device can send the large scale matrix computation to a digital twin simulation model associated with the production environment, so as to update the digital twin simulation model in real time.

公开(公告)号：US20230228688A1

公开(公告)日：2023-07-20

申请号：US17852417

申请日：2022-08-10

申请人： Siemens Corporation

发明人： Eduardo Moura Cirilo Rocha ,  Shashank Tamaskar ,  Wei Xi Xia ,  Eugen Solowjow ,  Nan Tian ,  Gokul Narayanan Sathya Narayanan

IPC分类号： G01N21/88 ,  G01B11/24 ,  G06T7/11 ,  G06T7/70

CPC分类号： G01N21/8851 ,  G01B11/24 ,  G06T7/11 ,  G06T7/70 ,  G06T2200/04 ,  G06T2207/10012 ,  H04N13/207

摘要： Robots might interact with planar objects (e.g., garments) for process automation, quality control, to perform sewing operations, or the like. It is recognized herein that robots interacting with such planar objects can pose particular problems, for instance problems related to detecting the planar object and estimating the pose of the detected planar object. A system can be configured to detect or segment planar objects, such as garments. The system can include a three-dimensional (3D) sensor positioned to detect a planar object along a transverse direction. The system can further include a first surface that supports the planar object. The first surface can be positioned such that the planar object is disposed between the first surface and the 3D sensor along the transverse direction. In various examples, the 3D sensor is configured to detect the planar object without detecting the first surface.

公开(公告)号：US20240012400A1

公开(公告)日：2024-01-11

申请号：US18041718

申请日：2020-08-28

申请人： Siemens Corporation

发明人： Shashank Tamaskar ,  Martin Sehr ,  Eugen Solowjow ,  Wei Xi Xia ,  Juan L. Aparicio Ojea ,  Ines Ugalde Diaz

IPC分类号： G05B19/418

CPC分类号： G05B19/41875 ,  G05B2219/32193

摘要： A computer-implemented method for failure classification of a surface treatment process includes receiving one or more process parameters that influence one or more failure modes of the surface treatment process and receiving sensor data pertaining to measurement of one or more process states pertaining to the surface treatment process. The method includes processing the received one or more process parameters and the sensor data by a machine learning model deployed on an edge computing device controlling the surface treatment process to generate an output indicating, in real-time, a probability of process failure via the one or more failure modes. The machine learning model is trained on a supervised learning regime based on process data and failure classification labels obtained from physics simulations of the surface treatment process in combination with historical data pertaining to the surface treatment process.