公开(公告)号：US20230205200A1

公开(公告)日：2023-06-29

申请号：US18113479

申请日：2023-02-23

申请人： STRONG FORCE TP PORTFOLIO 2022, LLC

发明人： Charles Howard Cella

IPC分类号： G05D1/00 ,  G06N20/00 ,  G06N3/086 ,  G07C5/00 ,  G07C5/08 ,  G01C21/34 ,  G01C21/36 ,  G06Q30/0208 ,  G10L15/16 ,  G10L25/63 ,  G06V20/59 ,  G06F40/40 ,  G06V20/64 ,  B60W40/08 ,  G05B13/02 ,  G05D1/02 ,  G06N3/04 ,  G06N3/08 ,  G06Q50/18 ,  G06Q50/30 ,  G07C5/02 ,  G06N3/045

CPC分类号： G05D1/0022 ,  G06N20/00 ,  G05D1/0088 ,  G06N3/086 ,  G07C5/008 ,  G07C5/0808 ,  G01C21/3461 ,  G01C21/3617 ,  G06Q30/0208 ,  G10L15/16 ,  G10L25/63 ,  G06V20/59 ,  G06F40/40 ,  G06V20/64 ,  B60W40/08 ,  G01C21/3438 ,  G01C21/3469 ,  G05B13/027 ,  G05D1/0212 ,  G05D1/0287 ,  G06N3/0418 ,  G06N3/08 ,  G06Q50/188 ,  G06Q50/30 ,  G07C5/006 ,  G07C5/02 ,  G07C5/08 ,  G07C5/0816 ,  G06N3/045 ,  B60W2040/0881 ,  G05D2201/0213 ,  G06N3/02

摘要： A rider interface for a vehicle includes a data processor configured to facilitate communication between a rider using the rider interface and the vehicle, the vehicle and the rider interface communicating location and orientation of the vehicle. An augmented reality system with a display is disposed to facilitate presenting an augmentation of content in an environment of the rider using the rider interface, the augmentation responsive to a registration of the communicated location and orientation of the vehicle, wherein at least one parameter of the augmentation is determined by machine learning on at least one input relating to at least one of the rider and the rider interface.

公开(公告)号：US11685605B2

公开(公告)日：2023-06-27

申请号：US16874401

申请日：2020-05-14

申请人： INTELLIGRATED HEADQUARTERS, LLC

发明人： Abhijit Makhal ,  Dikshya Swain ,  Sagar Lakhmani

IPC分类号： B65G15/00 ,  B65G43/10 ,  B65G43/08 ,  G06N20/00 ,  G06N3/02 ,  G01B11/26 ,  G05B13/02

CPC分类号： B65G15/00 ,  G01B11/26 ,  G05B13/027 ,  B65G2201/02 ,  B65G2203/0225 ,  B65G2203/0291 ,  B65G2203/041 ,  B65G2811/095

摘要： Various embodiments described herein relate to techniques for reinforcement learning based conveyoring control. In this regard, a conveyor system is configured to transport one or more objects via a conveyor belt. Furthermore, a vision system comprises one or more sensors configured to scan the one or more objects associated with the conveyor system. A processing device is configured to employ a machine learning model to determine object pose data associated with the one or more objects. The processing device is further configured to generate speed control data for the conveyor belt of the conveyor system based on a set of control policies associated with the object pose data.

公开(公告)号：US11669078B2

公开(公告)日：2023-06-06

申请号：US17304613

申请日：2021-06-23

申请人： Nanotronics Imaging, Inc.

发明人： Matthew C. Putman ,  John B. Putman ,  Vadim Pinskiy ,  Damas Limoge

IPC分类号： G05B13/02 ,  G05B19/418

CPC分类号： G05B19/41875 ,  G05B13/027 ,  G05B2219/32193 ,  G05B2219/32194 ,  G05B2219/32195

摘要： Aspects of the disclosed technology encompass the use of a deep learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving a plurality of control values from two or more stations, at a deep learning controller, wherein the control values are generated at the two or more stations deployed in a manufacturing process, predicting an expected value for an intermediate or final output of an article of manufacture, based on the control values, and determining if the predicted expected value for the article of manufacture is in-specification. In some aspects, the process can further include steps for generating control inputs if the predicted expected value for the article of manufacture is not in-specification. Systems and computer-readable media are also provided.

公开(公告)号：US11669057B2

公开(公告)日：2023-06-06

申请号：US16761834

申请日：2017-12-13

申请人： Hewlett-Packard Development Company, L.P.

发明人： Jun Zeng ,  He Luan

IPC分类号： G05B13/02 ,  B33Y10/00

CPC分类号： G05B13/027 ,  B33Y10/00

摘要： Examples of a thermal behavior prediction method are described herein. In some examples of the thermal behavior prediction method, a predicted heat map of a layer corresponding to a three-dimensional (3D) model is computed using at least one neural network. The predicted heat map is computed based on a contone map corresponding to the 3D model.

公开(公告)号：US11668485B2

公开(公告)日：2023-06-06

申请号：US16597364

申请日：2019-10-09

申请人： LG Electronics Inc.

发明人： Jaehong Kim ,  Hyoeun Kim ,  Hyejeong Jeon

IPC分类号： F24F11/49 ,  F24F11/56 ,  F24F11/64 ,  F24F11/80 ,  G05B13/04 ,  G05B13/02 ,  F24F110/10 ,  F24F110/12 ,  F24F110/20 ,  F24F110/50 ,  F24F140/00

CPC分类号： F24F11/49 ,  F24F11/56 ,  F24F11/64 ,  F24F11/80 ,  G05B13/027 ,  G05B13/041 ,  F24F2110/10 ,  F24F2110/12 ,  F24F2110/20 ,  F24F2110/50 ,  F24F2140/00 ,  F24F2221/00

摘要： Provided is an artificial intelligence air conditioner for calibrating sensor data. The artificial intelligence air conditioner includes a sensor unit configured to acquire sensor data; a communication unit configured to receive at least one of external sensor data or environment information from at least one of an external air conditioner or an internet of things (IoT) device; and a processor. The processor is configured to generate estimated sensor data corresponding to the sensor unit using a sensor data estimation model, the received external sensor data and the received environment information, determine whether the acquired sensor data is abnormal using the generated estimated sensor data, perform an air conditioning function using the acquired sensor data if the acquired sensor data is determined as normal, and perform the air conditioning function using the generated estimated sensor data if the acquired sensor data is determined as abnormal.

公开(公告)号：US20230145448A1

公开(公告)日：2023-05-11

申请号：US17523567

申请日：2021-11-10

申请人： Johnson Controls Tyco IP Holdings LLP

发明人： Michael M. Huber ,  Gerald A. Asp ,  Daniel A. Mellenthin ,  Bao H. Ung

IPC分类号： G05B13/02 ,  G06N5/04

CPC分类号： G05B13/027 ,  G06N5/04

摘要： A method for predicting time periods in which faults are likely to occur for a piece of building equipment. The method includes receiving a plurality of measurements for one or more points that are associated with a piece of building equipment, the plurality of measurements measured during a first time period; executing a machine learning model using the plurality of measurements as an input to generate fault data for a plurality of time periods subsequent to the first time period; selecting a second time period from the plurality of time periods responsive to an assessment of the fault data for the plurality of time periods indicating a fault will likely occur in the piece of building equipment during the second time period of the plurality of time periods; and performing an automated action responsive to the selection of the second time period.

公开(公告)号：US11645499B2

公开(公告)日：2023-05-09

申请号：US16466814

申请日：2017-09-04

申请人： Robert Bosch GmbH

发明人： Andre Guntoro ,  Ernst Kloppenburg ,  Heiner Markert ,  Martin Schiegg

IPC分类号： G06N20/00 ,  G06N3/048 ,  F02D41/26 ,  G05B13/02 ,  G06N3/063 ,  G06N3/08

CPC分类号： G06N3/048 ,  F02D41/266 ,  G05B13/027 ,  G06N3/063 ,  G06N3/08

摘要： A model calculating unit for calculating a neural layer of a multilayer perceptron model having a hardwired processor core developed in hardware for calculating a definitely specified computing algorithm in coupled functional blocks. The processor core is designed to calculate, as a function of one or multiple input variables of an input variable vector, of a weighting matrix having weighting factors and an offset value specified for each neuron, an output variable for each neuron for a neural layer of a multilayer perceptron model having a number of neurons, a sum of the values of the input variables weighted by the weighting factor, determined by the neuron and the input variable, and the offset value specified for the neuron being calculated for each neuron and the result being transformed using an activation function in order to obtain the output variable for the neuron.

公开(公告)号：US11644827B2

公开(公告)日：2023-05-09

申请号：US17275320

申请日：2019-08-15

申请人： Endress+Hauser SE+Co. KG

发明人： Manfred Niederer ,  Stefan Robl ,  Ervin Binkert ,  Alexey Malinovskiy ,  Heiko Oehme ,  Zurab Khadikov ,  Ulrich Kaiser

IPC分类号： G05B23/02 ,  G05B13/02

CPC分类号： G05B23/0283 ,  G05B13/027 ,  G05B23/0254

摘要： Disclosed is a method for improving the measuring performance of automation field devices, wherein each of the field devices determines a process variable using a measuring algorithm and is exposed to measurable environmental influences. The method includes capturing the calibration data of the field devices and capturing an item of environmental information of the field devices at defined time intervals; storing the environmental information, the calibration data, and a time stamp in a database; selecting a group of field devices which determine a process variable using the same measuring algorithm and which are exposed to the same environmental influences; correlating the environmental information and calibration data captured over time; creating a mathematical model relating the calibration data and the environmental information; adapting the measuring algorithm on the basis of the model; and transmitting the adapted measuring algorithm to all field devices in the group.

公开(公告)号：US11642740B2

公开(公告)日：2023-05-09

申请号：US17111782

申请日：2020-12-04

申请人： Siemens Aktiengesellschaft

发明人： Oliver Theile ,  Jan Drendel

IPC分类号： B33Y50/02 ,  B23K15/02 ,  B33Y10/00 ,  B33Y30/00 ,  G05B13/02 ,  B23K15/00

CPC分类号： B23K15/02 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02 ,  G05B13/027 ,  B23K15/0086

摘要： Various embodiments of the teachings herein include an apparatus for identifying a smoke event in an electron beam melting installation comprising: a current meter measuring a grounding current; and a processor programmed to identify a smoke event by evaluating the grounding current.

公开(公告)号：US20180311663A1

公开(公告)日：2018-11-01

申请号：US15498282

申请日：2017-04-26

申请人： Lawrence Livermore National Security, LLC

发明人： Brian Giera ,  Eric Duoss ,  Du Nguyen ,  William Smith ,  Sachin Subhash Talathi ,  Aaron Creighton Wilson ,  Congwang Ye

IPC分类号： B01L3/00 ,  G05B13/02 ,  G05D7/06 ,  G01N35/00

CPC分类号： G01N35/00871 ,  B01L3/502784 ,  B01L2200/0652 ,  B01L2200/143 ,  G01N15/00 ,  G01N15/1429 ,  G01N15/1475 ,  G01N35/00623 ,  G01N2015/149 ,  G01N2035/00643 ,  G01N2035/00881 ,  G05B13/027 ,  G05D7/0635 ,  G05D7/0694

摘要： A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.