AUGMENTED REALITY (AR) BASED OPTIMIZATION OF AGGREGATED POWER CONSUMPTION

    公开(公告)号:US20250042424A1

    公开(公告)日:2025-02-06

    申请号:US18363070

    申请日:2023-08-01

    Abstract: Provided are techniques for Augmented Reality (AR) based optimization of aggregated power consumption. Digital twin simulation is performed using vehicle data to generate a plurality of possible configurations of a first vehicle and a second vehicle with AR views and to determine associated power savings. A message request to form a group and the plurality of possible configurations with the AR views and the associated power savings are sent to the second vehicle, where the AR views and the associated power savings are projected in an AR interface at the second vehicle. From the second vehicle, a message response is received approving a possible configuration of the plurality of possible configurations to form the group. The group is formed by automatically moving the first vehicle to a first position and notifying the second vehicle to move to a second position based on the approved configuration.

    CREATING A DYNAMIC AUGMENTED REALITY-BASED SESSION FOR COMMUNICATION AND COLLABORATION

    公开(公告)号:US20250005871A1

    公开(公告)日:2025-01-02

    申请号:US18341826

    申请日:2023-06-27

    Abstract: An approach is provided for creating a dynamic augmented reality (AR)-based communication and collaboration session. A workflow involving multiple users and activities of the workflow are analyzed based on a current context, service level agreements established for the activities, permissions of the multiple users related to completing certain activities, hardware required to complete the activities, and capabilities of the hardware. Based on the analyzed workflow, an AR-based session is proactively established among the multiple users. Communication and collaboration are established among the multiple users based on the AR-based session. The communication and collaboration are established as the multiple users are performing respective activities within the workflow.

    IOT AND SENSOR FEED ANALYSIS BASED MACHINE MAINTENANCE

    公开(公告)号:US20240419164A1

    公开(公告)日:2024-12-19

    申请号:US18211340

    申请日:2023-06-19

    Abstract: A computer-implemented method, system, and computer program product to create optimized maintenance plans to reduce machine downtime for IoT machine. The method may include determining one or more sets of minimum functionalities required to perform an activity. The method may also include determining machines capable of supporting the one or more sets of minimum functionalities. The method may also include determining a minimal level of maintenance for the machines. The method may also include generating a maintenance plan for one or more of the machines based on the minimal level of maintenance for the machines.

    ELECTRONIC MAP ENGAGEMENT FOR EFFECTIVE VEHICLE-TO-INFRASTRUCTRURE NETWORK

    公开(公告)号:US20240337501A1

    公开(公告)日:2024-10-10

    申请号:US18297184

    申请日:2023-04-07

    CPC classification number: G01C21/367 G01C21/3492

    Abstract: An embodiment for engaging with an electronic map for an effective vehicle-to-infrastructure (V2I) network is provided. The embodiment may include receiving real-time and historical data from one or more IoT devices and an electronic map of one or more roadways. The embodiment may also include identifying one or more characteristics associated with the one or more roadways. The embodiment may further include identifying one or more driving conditions of each roadway in the electronic map and capabilities of one or more vehicles. The embodiment may also include executing a digital twin simulation of a digital twin model of each vehicle driving along the one or more roadways. The embodiment may further include in response to determining at least one vehicle is unable to make a driving decision, recommending a relative location of one or more infrastructure devices on the one or more roadways.

    DIGITAL TWIN BASED DATA DEPENDENCY INTEGRATION IN AMELIORATION MANAGEMENT OF EDGE COMPUTING DEVICES

    公开(公告)号:US20240330715A1

    公开(公告)日:2024-10-03

    申请号:US18194681

    申请日:2023-04-03

    CPC classification number: G06N5/022

    Abstract: A computer-implemented method, a computer program product, and a computer system for amelioration management of edge computing devices. A computer generates digital twin models of respective ones of edge devices. A computer uses the digital twin models to predict an impacted edge device which has a health issue in edge computing. A computer uses the digital twin models to predict impact occurring time. A computer, based on simulations with the digital twin models, reassign a portion of edge computing loads that originally assigned to the impacted edge device to other edge devices. A computer keeps remaining edge computing loads on the impacted edge device such that the impacted edge device is able to complete the remaining edge computing loads prior to the impact occurring time. A computer removes dependencies of the other edge devices on the impacted edge device, in response to the remaining edge computing loads being completed.

    RECORDING SELECTIVE METAVERSE COLLABORATION CONTENT

    公开(公告)号:US20240323236A1

    公开(公告)日:2024-09-26

    申请号:US18123419

    申请日:2023-03-20

    CPC classification number: H04L65/1066 G06Q10/101

    Abstract: A computer-implemented method, system and computer program product for selectively recording metaverse collaboration content. Contextual boundaries to perform selective recording in a collaborative environment of a metaverse are received from a user. Contextual boundaries refer to designations in the collaborative environment, including participants and collaboration content being shared, based on the context of the collaborative environment. In addition to receiving contextual boundaries, a workflow sequence, which defines portions of the contextual boundaries to record, is received from the user. A workflow sequence refers to the order of the selective recording in the collaborative environment of the metaverse. Metaverse collaboration content in the collaborative environment is then recorded using a recording node sequence based on the workflow sequence. A second collaborative environment of the metaverse may then be created based on the recorded metaverse collaboration content. In this manner, user-designated metaverse collaboration content in the metaverse may be selectively recorded.

    Intelligent Machine Environment Layout Adjustment

    公开(公告)号:US20240281703A1

    公开(公告)日:2024-08-22

    申请号:US18172466

    申请日:2023-02-22

    CPC classification number: G06N20/00

    Abstract: Managing machine layouts to improve machine activity workflows is provided. An analysis of a digital twin simulation of an environment is performed in accordance with a machine activity workflow corresponding to a plurality of machines located in the environment. A machine layout is generated for the environment that includes at least one of a particular set of machines having a determined amount of computational capability needed to analyze a type, volume, and frequency of data generated in each logical group of machines within the environment based on the analysis of the digital twin simulation. The machine layout is implemented automatically in the environment by positioning the at least one of the particular set of machines having the determined amount of computational capability needed to analyze the type, volume, and frequency of the data generated in each logical group of machines within the environment.

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