公开(公告)号：US20240361756A1

公开(公告)日：2024-10-31

申请号：US18767569

申请日：2024-07-09

申请人： Industrial Video Solutions Inc.

发明人： Slawek Frackowiak ,  Leszek Frackowiak

IPC分类号： G05B19/418

CPC分类号： G05B19/41865

摘要： Aspects of the present invention provide methods, systems, and/or the like for: (1) receiving first imaging data from a first imaging device, the first imaging data comprising infrared imaging data for at least a first portion of an article of manufacture during a manufacturing process; (2) deriving moisture profile data from the infrared imaging data the infrared imaging data; and (3) providing the moisture profile data to a quality control system for use in cross-direction and machine-direction control. In some aspects, the first imaging device may be placed in any suitable location along a papermaking or other manufacturing process to provide real-time, full-width moisture profiles of a paper web at any location in the process. They system may be utilized at papermaking startup and implemented to optimize paper machine dewatering on a component-by-component basis.

公开(公告)号：US12130610B2

公开(公告)日：2024-10-29

申请号：US16181194

申请日：2018-11-05

申请人： R4N63R Capital LLC

发明人： Prasad Narasimha Akella ,  Ananya Honnedevasthana Ashok ,  Zakaria Ibrahim Assoul ,  Krishnendu Chaudhury ,  Sameer Gupta ,  Sujay Venkata Krishna Narumanchi ,  David Scott Prager ,  Devashish Shankar ,  Ananth Uggirala ,  Yash Raj Chhabra

IPC分类号： G06F16/24 ,  G05B19/418 ,  G06F9/448 ,  G06F9/48 ,  G06F11/07 ,  G06F11/34 ,  G06F16/22 ,  G06F16/23 ,  G06F16/2455 ,  G06F16/901 ,  G06F16/9035 ,  G06F16/904 ,  G06F30/20 ,  G06F30/23 ,  G06N3/008 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/06 ,  G06Q10/0631 ,  G06Q10/0639 ,  G06T19/00 ,  G06V10/25 ,  G06V10/44 ,  G06V10/82 ,  G06V20/52 ,  G06V40/20 ,  G09B19/00 ,  B25J9/16 ,  G01M99/00 ,  G05B19/423 ,  G05B23/02 ,  G06F18/21 ,  G06F111/10 ,  G06F111/20 ,  G06N3/006 ,  G06Q10/083 ,  G06Q50/26 ,  G16H10/60

CPC分类号： G05B19/4183 ,  G05B19/41835 ,  G06F9/4498 ,  G06F9/4881 ,  G06F11/0721 ,  G06F11/079 ,  G06F11/3452 ,  G06F16/2228 ,  G06F16/2365 ,  G06F16/24568 ,  G06F16/9024 ,  G06F16/9035 ,  G06F16/904 ,  G06F30/20 ,  G06F30/23 ,  G06N3/008 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/06 ,  G06Q10/063112 ,  G06Q10/06316 ,  G06Q10/06393 ,  G06Q10/06395 ,  G06Q10/06398 ,  G06T19/006 ,  G06V10/25 ,  G06V10/454 ,  G06V10/82 ,  G06V20/52 ,  G06V40/20 ,  G09B19/00 ,  B25J9/1664 ,  B25J9/1697 ,  G01M99/005 ,  G05B19/41865 ,  G05B19/423 ,  G05B23/0224 ,  G05B2219/32056 ,  G05B2219/36442 ,  G06F18/217 ,  G06F2111/10 ,  G06F2111/20 ,  G06N3/006 ,  G06Q10/083 ,  G06Q50/26 ,  G16H10/60

摘要： The systems and methods provide an action recognition and analytics tool for use in manufacturing, health care services, shipping, retailing and other similar contexts. Machine learning action recognition can be utilized to determine cycles, processes, actions, sequences, objects and or the like in one or more sensor streams. The sensor streams can include, but are not limited to, one or more video sensor frames, thermal sensor frames, infrared sensor frames, and or three-dimensional depth frames. The analytics tool can provide for automatic creation of certificates for each instance of a subject product or service. The certificates can string together snippets of the sensor streams along with indicators of cycles, processes, action, sequences, objects, parameters and the like captured in the sensor streams.

公开(公告)号：US12117809B2

公开(公告)日：2024-10-15

申请号：US17405070

申请日：2021-08-18

申请人： Hitachi, Ltd.

发明人： Atsuko Enomoto ,  Daiki Kajita ,  Takahiro Nakano ,  Takaharu Matsui

IPC分类号： G05B19/418 ,  B25J9/16 ,  G06F16/24 ,  G06F16/28

CPC分类号： G05B19/41865 ,  B25J9/1661 ,  G06F16/24 ,  G06F16/283 ,  G05B2219/31053

摘要： In an arrangement design of a robot cell and of robot work, a planning device searches an arrangement graph, that shows candidates for relative positions and orientations between a robot and a fixture; searches a disassembly task sequence, of disassembly tasks that are operations of the robot for disassembling components from the assembly in an arrangement of the relative positions and orientations between the robot and the fixture, and searches for, based on a point sequence of positioning relay points of the robot, a trajectory in which the robot disassembles the components from the assembly; and generates assembly tasks formed of a point sequence obtained by reversing the point sequence of the relay points, an assembly trajectory of the robot which is reverse to a disassembly trajectory formed of interpolation points between the point sequences, and an assembly sequence, which is a reverse order of the disassembly task sequence.

公开(公告)号：US20240338015A1

公开(公告)日：2024-10-10

申请号：US18612467

申请日：2024-03-21

申请人： KOKUSAI ELECTRIC CORPORATION

发明人： Yuanze QI ,  Shinichiro Mori ,  Junichi Kawasaki

IPC分类号： G05B19/418 ,  G05B19/4155 ,  H01L21/67

CPC分类号： G05B19/41865 ,  G05B19/4155 ,  H01L21/67253 ,  G05B2219/45031

摘要： There is provided a technique that includes: a recipe including a plurality of steps for which a processing condition for a substrate is defined; a display capable of displaying at least one selected from information on the plurality of steps included in the recipe and information on the processing condition of at least one step selected from the plurality of steps; an operator configured to perform an editing operation for the processing condition; and a controller capable of controlling information on a step for which the editing operation for the processing condition is performed to be displayed in a different manner from information on a step for which the editing operation is not performed.

公开(公告)号：US20240329624A1

公开(公告)日：2024-10-03

申请号：US18614475

申请日：2024-03-22

申请人： SCREEN Holdings Co., Ltd.

发明人： Jun KAWAI ,  Takashi KASAHARA

IPC分类号： G05B19/418 ,  G06Q10/0639

CPC分类号： G05B19/41865 ,  G06Q10/0639 ,  G05B2219/45031

摘要： A schedule creation program generating method generates, through reinforcement learning, a schedule creation program for creating a time schedule for a plurality of components included in a substrate processing apparatus. The method includes: increasing a value of a reward by repeating experiencing through the reinforcement learning, the experiencing including arranging and reward determining; and changing a reward function that defines a relationship between an amount of time taken according to the time schedule and a value of a corresponding reward. The arranging includes sequentially arranging a plurality of planning factors in a timetable, the plurality of planning factors being given in advance to each of the plurality of substrates. The reward determining includes determining the value of the corresponding reward based on the reward function. The changing includes changing the reward function whose gradient in a partial section is larger than a gradient in the partial section of the reward function before the changing.

公开(公告)号：US20240319718A1

公开(公告)日：2024-09-26

申请号：US18732269

申请日：2024-06-03

申请人： Quantiphi, Inc.

发明人： Dagnachew Birru ,  Anirudh Deodhar ,  Achint Chaudhary ,  Soumya Rani Samineni

IPC分类号： G05B19/418

CPC分类号： G05B19/41865 ,  G05B19/41875 ,  G05B19/41885

摘要： The present invention discloses a system for scheduling jobs within a manufacturing environment, integrating a plurality of sensors to capture operational parameters. A processing unit, linked to the plurality of sensors, analyzes datasets to determine the operational parameters. A machine learning module coupled to the processing unit, enhances a scheduling algorithm using the operational parameters. This machine learning module includes a first predictor for estimating job processing times and forecasting operating conditions based on these parameters. A formulator adjusts the scheduling algorithm using the forecasted operating conditions for distinct time intervals. Additionally, a second predictor forecasts subsequent operating conditions based on the modified scheduling algorithm and initial forecasts. The system optimizes job scheduling, enhancing efficiency and productivity within the manufacturing environment.

公开(公告)号：US12099344B2

公开(公告)日：2024-09-24

申请号：US16181239

申请日：2018-11-05

申请人： R4N63R Capital LLC

发明人： Prasad Narasimha Akella

IPC分类号： G06Q10/06 ,  G05B19/418 ,  G06F9/448 ,  G06F9/48 ,  G06F11/07 ,  G06F11/34 ,  G06F16/22 ,  G06F16/23 ,  G06F16/2455 ,  G06F16/901 ,  G06F16/9035 ,  G06F16/904 ,  G06F30/20 ,  G06F30/23 ,  G06F30/27 ,  G06N3/008 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/0631 ,  G06Q10/0639 ,  G06T19/00 ,  G06V10/25 ,  G06V10/44 ,  G06V10/82 ,  G06V20/52 ,  G06V40/20 ,  G09B19/00 ,  B25J9/16 ,  G01M99/00 ,  G05B19/423 ,  G05B23/02 ,  G06F18/21 ,  G06F111/10 ,  G06F111/20 ,  G06N3/006 ,  G06Q10/083 ,  G06Q50/26 ,  G16H10/60

CPC分类号： G05B19/4183 ,  G05B19/41835 ,  G06F9/4498 ,  G06F9/4881 ,  G06F11/0721 ,  G06F11/079 ,  G06F11/3452 ,  G06F16/2228 ,  G06F16/2365 ,  G06F16/24568 ,  G06F16/9024 ,  G06F16/9035 ,  G06F16/904 ,  G06F30/20 ,  G06F30/23 ,  G06F30/27 ,  G06N3/008 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/06 ,  G06Q10/063112 ,  G06Q10/06316 ,  G06Q10/06393 ,  G06Q10/06395 ,  G06Q10/06398 ,  G06T19/006 ,  G06V10/25 ,  G06V10/454 ,  G06V10/82 ,  G06V20/52 ,  G06V40/20 ,  G09B19/00 ,  B25J9/1664 ,  B25J9/1697 ,  G01M99/005 ,  G05B19/41865 ,  G05B19/423 ,  G05B23/0224 ,  G05B2219/32056 ,  G05B2219/36442 ,  G06F18/217 ,  G06F2111/10 ,  G06F2111/20 ,  G06N3/006 ,  G06Q10/083 ,  G06Q50/26 ,  G16H10/60

摘要： In one embodiment a method comprises: accessing information associated with a first actor, including sensed activity information associated with an activity space; analyzing the activity information, including analyzing activity of the first actor with respect to a plurality of other actors; and forwarding feedback on the results of the analysis, wherein the results includes identification of a second actor as a replacement actor to replace the first actor, wherein the second actor is one of the plurality of other actors. The activity space can include an activity space associated with performance of a task. The analyzing can comprise: comparing information associated with activity of the first actor within the activity space with anticipated activity of the respective ones of the plurality of the actors within the activity space; and analyzing/comparing deviations between the activity of the first actor and the anticipated activity of the second actor.

公开(公告)号：US20240302827A1

公开(公告)日：2024-09-12

申请号：US18665107

申请日：2024-05-15

申请人： Mitsubishi Electric Corporation

发明人： Maki KITAMURA

IPC分类号： G05B19/418

CPC分类号： G05B19/41865 ,  G05B19/41885 ,  G05B2219/31449 ,  G05B2219/32365

摘要： A production planning device (100) includes a simulation unit (106). A simulation unit (106) performs a discrete simulation based on a fixed plan model indicating a work related to a fixed plan product, which is a product, and a fixed plan period, which is a period in which the work related to the fixed plan product is performed, a semi-fixed plan model indicating a preparation period for performing the work related to the fixed plan product, and a fluid plan model indicating a work related to a fluid plan product, which is a product, so as to calculate a candidate period, which is a period not overlapping with the fixed plan period, as a candidate for a fluid plan period, which is a period in which the work indicated by the fluid plan model is performed, and when at least part of the candidate period overlaps with at least part of the preparation period and in a case where preparation for performing the work related to the fixed plan product is ready at a start time of the fixed plan period, determines the candidate period as the fluid plan period.

公开(公告)号：US20240295873A1

公开(公告)日：2024-09-05

申请号：US18346845

申请日：2023-07-04

申请人： GUANGDONG UNIVERSITY OF TECHNOLOGY

发明人： Jiewu LENG ,  Jiwei GUO ,  Xiaofeng ZHU ,  Caiyu XU ,  Hongye SU ,  Qiang LIU

IPC分类号： G05B19/418

CPC分类号： G05B19/41865

摘要： A method for constructing a topology reference structure for a production line is provided. The present disclosure is based on historical production line topology data of an enterprise to extract a commonly used topology reference structure for a production line of the enterprise by a computer through a machine learning (ML) algorithm, so as to form a typical production line topology group of the enterprise. The present disclosure can record typical production line characteristics and production habits of the enterprise, realize reuse of a production line structure and production line construction knowledge, reduce the workload of production line designers, and improve the production line construction efficiency of the enterprise. In addition, the present disclosure avoids the interference of designers' subjective decisions to a certain extent, and the reference structure extracted by the computer has high reference value, and is objective, mature, and stable.

公开(公告)号：US20240288858A1

公开(公告)日：2024-08-29

申请号：US18434851

申请日：2024-02-07

申请人： Machinery Technology Development Co., Ltd

发明人： Sheng ZHANG ,  Haoyuan QU ,  Peng ZHAO ,  Bin XU ,  Yang LIU ,  Changchen LI

IPC分类号： G05B19/418

CPC分类号： G05B19/41895 ,  G05B19/41865

摘要： An Automated Guided Vehicle (AGV) scheduling method based on a narrow alley, electronic equipment and a storage medium are provided, and the method includes: through an AGV scheduling system, receiving a message that a to-be-driven-in AGV arrives at a driving-in platform, obtaining job information of each AGV in the narrow alley at the current moment, and determining whether the to-be-driven-in AGV can enter the narrow alley for performing the job fully according to the number of the AGVs in the narrow alley at the current moment, the job information and a loading/unloading position where the to-be-driven-in AGV will perform the job, so as to achieve concurrent collaborative job of the AGVs as many as possible in a confined workspace by making use of fragmented time and every bit of time, to form an efficient and flexible distribution solution, and to further achieve intelligent scheduling of the AGVs.