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    Method and system for detecting and avoiding loss of separation between vehicles and updating the same
    1.
    发明授权
    Method and system for detecting and avoiding loss of separation between vehicles and updating the same 有权

    公开(公告)号：US11989625B2

    公开(公告)日：2024-05-21

    申请号：US16370141

    申请日：2019-03-29

    Applicant: Honeywell International Inc.

    Inventor： Megan Hawley ,  Raj Mohan Bharadwaj

    IPC: G06Q30/00 ,  G06N20/00 ,  G08G5/00

    CPC classification number: G06N20/00 ,  G08G5/0095

    Abstract: Disclosed are methods, systems, and non-transitory computer-readable mediums for detecting and avoiding loss of separation between vehicles. A first method may include training a vehicle interaction machine learning model to predict future vehicle interactions based on identified vehicle interactions and an identified risk of encounter between two or more selected vehicles. A second method may include obtaining real-time data associated with a vehicle-of-interest; evaluating the real-time data associated with the vehicle-of-interest to form encounter models; monitoring the encounter models with a model access function of the vehicle interaction machine learning model to detect real-time anomalies; and in response to detecting a real-time anomaly, transmitting an alert. A third method may include obtaining trajectory information; analyzing the trajectory information to determine whether a trajectory is a new trajectory type or whether the trajectory is a member of a new interaction; updating training data for the vehicle interaction machine learning model.

    RADAR-BASED VIBRATION SENSOR SELF-CALIBRATION METHOD
    4.
    发明申请
    RADAR-BASED VIBRATION SENSOR SELF-CALIBRATION METHOD 审中-公开
    基于雷达的振动传感器自校准方法

    公开(公告)号：US20140260523A1

    公开(公告)日：2014-09-18

    申请号：US13827464

    申请日：2013-03-14

    Applicant: HONEYWELL INTERNATIONAL INC.

    Inventor： Andy Peczalski ,  Raj Mohan Bharadwaj ,  Hai Pham ,  David Wunderlin ,  Kyusung Kim ,  Dinkar Mylaraswamy

    IPC: G01H3/00

    CPC classification number: G01H3/005

    Abstract: A method of calibrating a radar-based vibration sensor that includes a radar head coupled to a vibration device includes disposing the vibration sensor at a fixed distance from a target, and transmitting radio frequency (RF) signals toward, and receiving RF signals reflected by, the target. An excitation voltage is supplied, at a plurality of different excitation frequencies, to the vibration device to cause the vibration sensor to vibrate. Vibration sensor acceleration is determined at each of the different excitation frequencies. A calibration curve is generated based on the determined vibration sensor acceleration at each of the different excitation frequencies, and on the reflected RF signals at each of the different excitation frequencies.

    Abstract translation: 一种校准基于雷达的振动传感器的方法，其包括耦合到振动装置的雷达头，包括：将振动传感器设置在与目标相距一定距离处，并且将射频（RF）信号传输到射频信号， 目标。 以多个不同的激励频率向振动装置提供激励电压，以使振动传感器振动。 在每个不同的激励频率下确定振动传感器的加速度。 基于在每个不同激发频率下确定的振动传感器加速度以及每个不同激励频率处的反射RF信号产生校准曲线。

    SYSTEM AND METHOD FOR ADDITIVE MANUFACTURING PROCESS MONITORING
    5.
    发明申请
    SYSTEM AND METHOD FOR ADDITIVE MANUFACTURING PROCESS MONITORING 有权

    公开(公告)号：US20210191381A1

    公开(公告)日：2021-06-24

    申请号：US17190988

    申请日：2021-03-03

    Applicant: HONEYWELL INTERNATIONAL INC.

    Inventor： Raj Mohan Bharadwaj ,  Andrew Peter Vechart ,  Suresh Sundarraj ,  Piyush Ranade

    IPC: G05B23/02 ,  G05B13/02 ,  B22F10/20

    Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.

    SYSTEM AND METHOD FOR ADDITIVE MANUFACTURING PROCESS MONITORING
    7.
    发明申请
    SYSTEM AND METHOD FOR ADDITIVE MANUFACTURING PROCESS MONITORING 审中-公开

    公开(公告)号：US20190384274A1

    公开(公告)日：2019-12-19

    申请号：US16008621

    申请日：2018-06-14

    Applicant: HONEYWELL INTERNATIONAL INC.

    Inventor： Raj Mohan Bharadwaj ,  Andrew Peter Vechart ,  Suresh Sundarraj ,  Piyush Ranade

    IPC: G05B23/02 ,  G05B13/02 ,  B22F3/105

    Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.

    METHODS AND SYSTEMS FOR ADAPTIVE CYBER REASONING
    8.
    发明申请
    METHODS AND SYSTEMS FOR ADAPTIVE CYBER REASONING 审中-公开
    自适应光纤推理的方法与系统

    公开(公告)号：US20170006047A1

    公开(公告)日：2017-01-05

    申请号：US14788181

    申请日：2015-06-30

    Applicant: HONEYWELL INTERNATIONAL INC.

    Inventor： Raj Mohan Bharadwaj ,  Srivatsan Varadarajan ,  Darryl Busch ,  Jun Ho Huh ,  Daniel P. Johnson

    IPC: H04L29/06

    CPC classification number: H04L63/1408 ,  G06F21/554

    Abstract: Methods and systems are provided for monitoring cyber activity in a system having multiple networks. A method includes: receiving an evidence stream generated by a plurality of monitoring systems associated with a plurality of hardware and software components that communicate over the multiple networks; processing the evidence stream using at least one reference model to identify at least one cyber issue, where the cyber issue relates to at least one of security, safety, and resources; and generating at least one of actuator data and user interface data based on the identified cyber issue.

    Abstract translation: 提供了用于在具有多个网络的系统中监视网络活动的方法和系统。 一种方法包括：接收与由多个网络通信的多个硬件和软件组件相关联的多个监控系统产生的证据流; 使用至少一个参考模型处理证据流，以识别至少一个网络问题，其中网络问题与安全性，安全性和资源中的至少一个相关; 以及基于所识别的网络问题生成致动器数据和用户界面数据中的至少一个。

    System and method for additive manufacturing process monitoring
    9.
    发明授权
    System and method for additive manufacturing process monitoring 有权

    公开(公告)号：US11009863B2

    公开(公告)日：2021-05-18

    申请号：US16008621

    申请日：2018-06-14

    Applicant: HONEYWELL INTERNATIONAL INC.

    Inventor： Raj Mohan Bharadwaj ,  Andrew Peter Vechart ,  Suresh Sundarraj ,  Piyush Ranade

    IPC: G05B23/02 ,  B22F3/105 ,  G05B13/02 ,  B33Y50/02 ,  B22F10/00 ,  B22F10/10

    Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.

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