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    DISTRIBUTED QUALITY MANAGEMENT AND CONTROL SYSTEMS AND METHODS FOR DECENTRALIZED MANUFACTURING USING CONNECTED SENSOR DEVICES
    7.
    发明申请
    DISTRIBUTED QUALITY MANAGEMENT AND CONTROL SYSTEMS AND METHODS FOR DECENTRALIZED MANUFACTURING USING CONNECTED SENSOR DEVICES 有权

    公开(公告)号：US20220121172A1

    公开(公告)日：2022-04-21

    申请号：US17121088

    申请日：2020-12-14

    Applicant: HONEYWELL INTERNATIONAL INC.

    Inventor： Sujaya Rao ,  Donald Godfrey ,  Raghavendra Muniraju ,  Satyanarayan Kar ,  Rakesh Hota ,  Keerthi Jayarajan ,  Vinayakumar Kasimsetty

    IPC: G05B19/4099

    Abstract: A method for additive manufacturing process parameter monitoring of additively manufactured articles and associated raw materials, the method comprising the steps of: at an additive manufacturing raw material supplier located at a first location, packaging a raw additive manufacturing material, which may be a metal powder, and placing a sensor device inside the packaging, wherein the sensor device, which is powered by ambient energy, monitors one or more material parameters, as the packaging moves through a supply chain, and wherein sensed parameters from the sensor device are recorded periodically until the raw material is loaded to an additive manufacturing tool at a second location, different from the first location; prior to utilizing the sensor device, registering an identity for the sensor with blockchain rules to establish a trust on data originating from the sensor device; at an additive manufacturing article supplier located at the second location, using an additive manufacturing tool, manufacturing an article in accordance with a design file provided to the additive manufacturing supplier from an additive manufacturing designer located at a location different from the first and second locations; at the additive manufacturing supplier, utilizing the sensor device to monitor one or more process parameters associated with manufacturing the article, wherein the sensor device is: (1) connected to wireless network, (2) powered by ambient energy, and (3) sized and configured for monitoring the process parameters in situ at the additive manufacturing tool; at the additive manufacturing supplier, sending data regarding the one or more process parameters from the sensor device to a network node associated with the additive manufacturing tool; at the additive manufacturing supplier, generating a cryptographic distributed ledger comprising the data regarding the one or more process parameters, wherein the ledger is generated in the manner of a blockchain; and from the additive manufacturing supplier, the distributed ledger that is also accessible to the additive manufacturing designer using a private network, wherein the analyses of the data regarding the one or more process parameters are performed automatically by the blockchain rules, where in rules defined by additive manufacturing designer, for any anomalies during the manufacture of the article.

    PROGNOSTIC AND HEALTH MONITORING SYSTEM FOR A DEVICE WITH A ROTATING COMPONENT
    9.
    发明公开
    PROGNOSTIC AND HEALTH MONITORING SYSTEM FOR A DEVICE WITH A ROTATING COMPONENT 审中-公开

    公开(公告)号：US20230260332A1

    公开(公告)日：2023-08-17

    申请号：US17705612

    申请日：2022-03-28

    Applicant: Honeywell International Inc.

    Inventor： Balasubramanya Raju B K ,  Manu Shastry C R ,  Raghavendra Muniraju

    IPC: G07C5/00 ,  G07C5/08

    CPC classification number: G07C5/008 ,  G07C5/0808 ,  B64F5/60

    Abstract: A prognostic and health monitoring system for a device with a rotating component is provided. The system includes a plurality of sensors. Each sensor is configured to sense a parameter of the device. A controller is in communication output sensor signals. The controller, based on instructions stored in a memory, is configured to filter the output sensor signals based on operational speed data of the rotating component to obtain normalized sensor data, construct multivariate gaussian distribution parameters from the normalized sensor data using a central limit theorem, compare a model generated with a learning algorithm applied to previous constructed multivariate gaussian distribution parameters with the constructed multivariate gaussian distribution parameters, and determine a state of the device based at least in part on the comparison of model with the constructed multivariate gaussian distribution parameters. A communication system communicates the determined state of the device to a remote location.

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