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    Digital telephone apparatus
    1.
    发明授权
    Digital telephone apparatus 失效
    数字电话机

    公开(公告)号：US4389544A

    公开(公告)日：1983-06-21

    申请号：US249400

    申请日：1981-03-31

    申请人： Theodore W. Wagner ,  Sam Liang ,  Deepak R. Muzumdar

    发明人： Theodore W. Wagner ,  Sam Liang ,  Deepak R. Muzumdar

    IPC分类号： H04M1/253 ,  H04Q11/04 ,  H04M11/06 ,  H04J3/06

    CPC分类号： H04M1/253 ,  H04Q11/04

    摘要： Digital telephone apparatus suitable for use as a subscriber station as well as for an attendant console. The telephone apparatus is connectable for full duplex communication with a four wire telephone transmission line. The telephone apparatus is capable of transmitting PCM speech data and/or digital data from a digital data interface to a peripheral data system. The telephone apparatus comprises an internal data bus to which are connected a digital transceiver, a sync/signalling generator, a serial frame synchronizer and at least one codec/PCM filter. The transceiver transmits and receives digital data to and from the telephone transmission line. The sync/signalling generator repeatedly supplies an 8 bit first data word to the internal data bus containing a binary synchronizing code and a signalling code. Simultaneously, the serial frame synchronizer repeatedly receives from the data bus and decodes an 8 bit first data word containing a synchronizing code and a signalling code. The codec/PCM filter repeatedly receives from and transmits to said internal data bus 8 bit PCM voice samples as additional data words immediately following the first data word. A microcomputer, including a number of input/output devices, receives successive signalling codes from the serial frame synchronizer and repeatedly transmits signalling codes to the sync/signalling generator for communicating with the telephone exchange to which the apparatus is connected.

    摘要翻译： 数字电话设备适合用作用户台以及话务台。 电话设备可连接四线电话传输线进行全双工通信。 电话设备能够将PCM语音数据和/或数字数据从数字数据接口传送到外围数据系统。 电话设备包括连接数字收发器，同步信号发生器，串行帧同步器和至少一个编解码器/ PCM滤波器的内部数据总线。 收发器向和从电话传输线路发送和接收数字数据。 同步/信令发生器重复地将8位第一数据字提供到包含二进制同步码和信令码的内部数据总线。 同时，串行帧同步器从数据总线反复接收并解码包含同步码和信令码的8位第一数据字。 编解码器/ PCM滤波器重复接收并发送到所述内部数据总线8位PCM语音样本作为紧跟在第一数据字之后的附加数据字。 包括多个输入/输出设备的微型计算机从串行帧同步器接收连续的信令代码，并重复发送信号代码给同步信号发生器，以便与设备所连接的电话交换机进行通信。

    FAILURE PREDICTION IN SURFACE TREATMENT PROCESSES USING ARTIFICIAL INTELLIGENCE
    2.
    发明公开
    FAILURE PREDICTION IN SURFACE TREATMENT PROCESSES USING ARTIFICIAL INTELLIGENCE 审中-公开

    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.

    LARGE-SCALE MATRIX OPERATIONS ON HARDWARE ACCELERATORS
    3.
    发明公开
    LARGE-SCALE MATRIX OPERATIONS ON HARDWARE ACCELERATORS 审中-公开

    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.

    FINE-GRAINED INDUSTRIAL ROBOTIC ASSEMBLIES
    4.
    发明公开
    FINE-GRAINED INDUSTRIAL ROBOTIC ASSEMBLIES 审中-公开

    公开(公告)号：US20230330858A1

    公开(公告)日：2023-10-19

    申请号：US18044242

    申请日：2021-09-09

    申请人： Siemens Corporation

    发明人： Eugen Solowjow ,  Juan L. Aparicio Ojea ,  Avinash Kumar ,  Matthias Loskyll ,  Gerrit Schoettler

    IPC分类号： B25J9/16

    CPC分类号： B25J9/1687 ,  B25J9/1697 ,  B25J5/007

    摘要： In an example aspect, a first object (e.g., an electronic component) is inserted by a robot into a second object (e.g., a PCB). An autonomous system can capture a first image of the first object within a physical environment. The first object can define a mounting interface configured to insert into the second object. Based on the first image, a robot can grasp the first object within the physical environment. While the robot grasps the first object, the system can capture a second image of the first object. The second image can include the mounting interface of the first object. Based on the second image of the first object, the system can determine a grasp offset associated with the first object. The grasp offset can indicate movement associated with the robot grasping the first object within the physical environment. The system can also capture an image of the second object. Based on the grasp offset and the image of the second object, the robot can insert the first object into the second object.

    EMBEDDED DEEP COMPRESSION FOR TIME-SERIES DATA
    6.
    发明申请
    EMBEDDED DEEP COMPRESSION FOR TIME-SERIES DATA 有权

    公开(公告)号：US20220190842A1

    公开(公告)日：2022-06-16

    申请号：US17439836

    申请日：2019-03-22

    申请人： Siemens Corporation ,  Stanford University

    发明人： Chengtao Wen ,  Lingyun Wang ,  Juan L. Aparicio Ojea ,  Shubham Chandak ,  Kedar Shriram Tatwawadi ,  Tsachy Weissman

    IPC分类号： H03M7/30 ,  G06N3/08

    摘要： A lossy compression algorithm is described for performing data compression of high-frequency floating point time-series data, for example. The compression algorithm utilizes a prediction engine that employs at least one of a linear prediction model or a non-linear prediction model to calculate one-step-ahead prediction of a current data value at current sampling time t using N previous quantized data values, where N is the model order. A prediction error is determined between the predicted value and an actual value, and the prediction error is quantized. A quantized current data value is determined from the predicted value and the quantized prediction error. The quantized prediction error is sent from an edge device to a data decompressor on a cloud device. The decompressor reconstructs the quantized current data value using the received quantized prediction error and by generating the same predicted value as the compressor.

    WEB-BASED DIGITAL THREAD DRIVEN SUSTAINABLE MANUFACTURING VIA DIGITALLY-INTEGRATED, MULTI-LIFECYCLE PRODUCT DEVELOPMENT
    7.
    发明申请
    WEB-BASED DIGITAL THREAD DRIVEN SUSTAINABLE MANUFACTURING VIA DIGITALLY-INTEGRATED, MULTI-LIFECYCLE PRODUCT DEVELOPMENT 有权

    公开(公告)号：US20220036273A1

    公开(公告)日：2022-02-03

    申请号：US17414074

    申请日：2020-01-06

    申请人： Siemens Corporation ,  The University of Kentucky Research Foundation

    发明人： Dmitriy Okunev ,  Sanjeev Srivastava ,  Fathima Badurdeen

    IPC分类号： G06Q10/06 ,  G06Q10/10 ,  G06Q50/04

    摘要： A system and a method that enable a digital thread-driven sustainability design wherein a Digital Thread (DT) is proposed as a distributed enterprise software platform that is designed for managing lifecycle sustainability data of a product throughout its lifecycle. A digitally integrated total lifecycle product design using a Digital Thread model is provided that enables one to perform predictive computational modeling for multi-lifecycle product design. The Digital Thread enables a set of predictive computational modeling tools for total lifecycle product design optimization, simulation and uncertainty and risk analysis integrated to access data through the Digital Thread. A systematic approach for development and analysis of a lifecycle sustainability model of a designed product is provided. Also, a central repository concept or a single point of access to the lifecycle sustainability data is provided.

    Building energy split calculation and visualization
    9.
    发明授权
    Building energy split calculation and visualization 有权

    公开(公告)号：US10719895B2

    公开(公告)日：2020-07-21

    申请号：US16503941

    申请日：2019-07-05

    申请人： Siemens Corporation

    发明人： Zhen Song ,  Sanjeev Srivastava ,  Xianjun S. Zheng

    IPC分类号： G06Q50/06 ,  G06F1/3203 ,  G01R21/00 ,  F24F11/46 ,  F24F11/63 ,  F24F11/52 ,  F24F11/00 ,  G05B15/02 ,  F24F140/60 ,  F24F140/20

    摘要： A computer-implemented method of splitting whole building energy consumption includes collecting sensor data from a plurality Variable Air Volume (VAV) boxes in a building, an electric meter in the building, and a gas meter in the building. The total heating energy consumption is split across a plurality of zones within the building using the sensor data, thereby yielding heating energy consumption for each zone. The total cooling energy consumption is split across the plurality of zones using the sensor data, thereby yielding cooling energy consumption for each zone and the total ventilation energy consumption is split across the plurality of zones using the sensor data, thereby yielding ventilation energy consumption for each zone. Zone energy consumption by aggregating the heating energy consumption for the zone, the cooling energy consumption for the zone, and the ventilation energy consumption for the zone.