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公开(公告)号：US20250066221A1
公开(公告)日：2025-02-27
申请号：US18721986
申请日：2022-12-22
Inventor： Thomas Munk-Nielsen , Henrik Andreas Rønnow Thomsen , Henrik Madsen , Peter Alexander Stentoft , Jan Kloppenborg Møller
IPC: C02F1/00 , C02F1/52 , C02F3/12 , C02F11/147 , C02F101/10 , C02F101/16 , G05B13/04
Abstract: The present disclosure provides method of monitoring a plurality of processes in an urban water cycle. The method comprises the steps of: defining an event having impact on a process activity of at least one process, defining a time-period, defining a first data set representing at least one expected process activity under impact of the event, the first data set comprising interrelated values of expected process activity and point in time in the time-period, determining a second data set representing actual process activity in the time-period, the actual process activity being the process activity under impact of the event, comparing the second data set representing actual process activity with the first data set representing expected process activity. Based thereon, a notification relating to the process activity for the at least one process is generated, if a deviation between the first data set and the second data set exceeds a predetermined threshold value in the time-period.
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公开(公告)号：US20250066136A1
公开(公告)日：2025-02-27
申请号：US18944952
申请日：2024-11-12
Applicant: Intelligrated Headquarters, LLC
Inventor： Mark Kenneth VEGH
Abstract: A method for auto-calibration of a sorter is described. The method includes transmitting, by a carrier transmit board of a sorter, a short discharge command to a first section of the sorter. The short discharge command can be generated based on a first clock offset. Further, the method includes receiving at the carrier transmit board a status message indicative of a status of a first motor control board associated with the first section of the sorter. Furthermore, in response to the status message indicating that the first motor control did not receive the short discharge command, the method includes modifying the first clock offset to a second clock offset and retransmitting the short discharge command based on a second clock offset. If the first motor control receives the short discharge command, the method includes configuring a sorter control system based on the first clock offset.
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公开(公告)号：US12235119B2
公开(公告)日：2025-02-25
申请号：US17804644
申请日：2022-05-31
Applicant: HERE Global B.V.
Inventor： Jerome Beaurepaire
Abstract: A network apparatus, for example, obtains probe data corresponding to a respective vehicle making a late lane change while traversing a TME of a traversable network. Location information indicating a location of the late lane change is extracted from the probe data. Map, weather, and/or traffic data for the location is obtained. A late lane change feature description is generated based on information extracted from the probe data and the map, weather, and/or traffic data. A model is trained using a machine learning technique and training data comprising the late lane change feature description. The model is executed to generate a late lane change prediction corresponding to a TME of a digital map. The network apparatus causes at least one of (a) the digital map to be updated, (b) traffic data corresponding to the TME to be updated, or (c) a navigation-related function to be performed based on the prediction.
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公开(公告)号：US20250060712A1
公开(公告)日：2025-02-20
申请号：US18719796
申请日：2022-11-29
Applicant: Henkel AG & Co. KGaA
Inventor： Nick TALKEN , Natarajan CHENNIMALAI KUMAR , Zack KISNER
Abstract: A method for use in manufacturing a material having a value for a first measurable material property in a pre-determined range of values is disclosed, the method comprising obtaining a first set of input parameters; predicting or triggering predicting a value for the first measurable material property of a material based on the obtained first set of input parameters using a predictive model trained based on a stored plurality of data sets; and determining or triggering determining, at least based on the predicted value for the first measurable material property, a second set of input parameters for manufacturing a material. A corresponding method for use in manufacturing a material having a value for a first measurable material property in a pre-determined range of values comprising training the predictive model is disclosed. Additionally, a corresponding system, corresponding apparatuses and corresponding computer programs are disclosed.
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公开(公告)号：US20250060711A1
公开(公告)日：2025-02-20
申请号：US18809126
申请日：2024-08-19
Applicant: Feng Ju , Feifan Wang
Inventor： Feng Ju , Feifan Wang
IPC: G05B13/04
Abstract: A computer-implemented model is trained or otherwise configured for real-time production control. The model incorporates a plurality of classes of residence time control and optimizes produce performance by managing an associated machine's behavior according to real-time system states. The model can formulate a Markov decision process and feature-extraction method and feature-based approximation architecture to reduce state space of the model. Simulation is employed in training to estimate parameters of feature-based approximate architecture to obtain a lookahead function of the Markov decision process.
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公开(公告)号：US12228893B2
公开(公告)日：2025-02-18
申请号：US17635585
申请日：2019-08-30
Applicant: NEC Corporation
Inventor： Hiroyuki Oyama
Abstract: The information processing device 1B mainly includes an abstract model information acquisition unit 34X, a measurement information acquisition unit 34Y, and an abstract model generation unit 34Z. The abstract model information acquisition unit 34X is configured to acquire abstract model information I5 regarding an abstract model in which dynamics in a workspace 6 where a robot 5 performs an objective task is abstracted. The measurement information acquisition unit 34Y is configured to acquire measurement information Im indicating a measurement result in the workspace 6. The abstract model generation unit 34Z is configured to generate an abstract model Σ based on the abstract model information I5 and the measurement information Im.
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公开(公告)号：US20250054008A1
公开(公告)日：2025-02-13
申请号：US18773391
申请日：2024-07-15
Applicant: Strong Force VCN Portfolio 2019, LLC
Inventor： Charles H. Cella , Andrew S. Locke
IPC: G06Q30/0201 , G05B13/04 , G06F9/48 , G06N5/043 , G06N10/60 , G06N10/80 , G06N20/00 , G06Q10/0631 , G06Q10/087 , G06Q30/0601 , G06Q40/04
Abstract: A digital product network system includes a set of digital products each having a product processor, a product memory, and a product network interface. The digital product network system includes a product network control tower having a control tower processor, a control tower memory, and a control tower network interface. The product processor and the control tower processor collectively include non-transitory instructions that program the digital product network system to generate product level data at the product processor, transmit the product level data from the product network interface, receive the product level data at the control tower network interface, encode the product level data as a product level data structure configured to convey parameters indicated by the product level data across the set of digital products, and write the product level data structure to at least one of the product memory and the control tower memory.
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公开(公告)号：US20250045607A1
公开(公告)日：2025-02-06
申请号：US18822421
申请日：2024-09-02
Applicant: Yechezkal Evan Spero
Inventor： Yechezkal Evan Spero
Abstract: An artificial-intelligence, personalized-service robot used in living and working spaces is presented. The robot, equipped with sensors, appliances, and devices and an inference engine is capable of automatically providing room residents with services tailored to their “learned” individual preferences. Using multiple sensors to obtain information regarding the room environment and persons therein, the AI computer processes algorithms for operation and a knowledge base for making decisions to automatically detect the needs of room residents. These needs include illumination, thermal comfort, security, wellness, and safety. Within the course of providing these services, the computer senses the efficacy of the service including reactions by room residents. Using the computer's machine learning algorithms, this user reaction serves as supervised learning for updating the knowledge base and improving future service. As the computer “learns” the personal preferences of each identified room resident, the knowledge base is updated, and quality of service continues to improve.
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公开(公告)号：US20250044755A1
公开(公告)日：2025-02-06
申请号：US18722565
申请日：2022-12-20
Applicant: BASF SE
Inventor： Gimmy Alex FERNANDEZ RAMIREZ
Abstract: The invention refers to an apparatus 110 for controlling a process for producing a substance by coupled chemical reactors 131, 132 being coupled with respect to an operation parameter. An efficiency model providing unit 111 provides a model for each reactor providing a simulated efficiency of each reactor based on the operation parameter. An optimization model providing unit 112 provides a model providing an optimizable function of a substance output of the reactors depending on the operation parameter and the efficiency of the reactors. An optimization unit 113 optimizes the substance output by utilizing the simulated efficiency models and the respective simulated efficiencies in the optimization model for determining an optimized operation parameter that optimizes the substance output of the reactors, and a control signal providing unit 114 provides a signal indicative of the optimized operation parameter to control the operation of the reactors.
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公开(公告)号：US12210804B2
公开(公告)日：2025-01-28
申请号：US15996407
申请日：2018-06-01
Applicant: AUTODESK, INC.
Inventor： Nigel Morris , Adrian Butscher , Francesco Iorio
IPC: G05B19/18 , B33Y10/00 , B33Y30/00 , B33Y50/02 , G05B13/04 , G06F17/16 , G06F30/15 , G06F30/17 , G06F30/20 , G06F30/23 , G06T15/06
Abstract: Design process that performs geometry synthesis on a 3D model of a product based on a design problem statement and manufacturing constraints associated with a manufacturing machine intended to manufacture the product. The manufacturing constraints may include dimensions for a tool bit, dimensions for a tool head, a set of machining directions of the manufacturing machine, or any combination thereof. For a 5-axis manufacturing machine, the set of machining directions may be determined by a “NormalSearch” algorithm and/or a “HeatSearch” algorithm. The geometry synthesis produces a design solution comprising a final 3D model of the product, whereby each point on the boundary of the final 3D model is determined to be accessible by a tool bit and/or tool head in at least one machining direction of the manufacturing machine. Thus, the design solution for the product is more easily and directly manufacturable by the manufacturing machine.
