MAINTENANCE SYSTEMS AND METHODS FOR ECS ELEMENTS

    公开(公告)号:US20180012423A1

    公开(公告)日:2018-01-11

    申请号:US15202681

    申请日:2016-07-06

    Abstract: A maintenance system is provided for an environment conditioning element of an environmental control system (ECS) of a vehicle. The system includes a data collection module configured to receive geographical areas of travel for the vehicle over respective periods of time. The data collection module is configured to determine a pollution value and a time value for each of the geographic areas of travel. The system further includes a pollution count module coupled to the data collection module and receiving the pollution values and the time values. The pollution count module is configured to determine a pollution count for the environment conditioning element based on the pollution values and the time values. The system further includes a reporting module coupled to the pollution count module and receiving the pollution count. The reporting module is configured to generate a report for a user that includes the pollution count.

    SYSTEM AND METHOD FOR ASSET FLEET MONITORING AND PREDICTIVE DIAGNOSTICS USING ANALYTICS FOR LARGE AND VARIED DATA SOURCES
    14.
    发明申请
    SYSTEM AND METHOD FOR ASSET FLEET MONITORING AND PREDICTIVE DIAGNOSTICS USING ANALYTICS FOR LARGE AND VARIED DATA SOURCES 审中-公开
    资产流动监测系统和方法及使用分析数据进行大量和变化数据来源的预测诊断

    公开(公告)号:US20160282847A1

    公开(公告)日:2016-09-29

    申请号:US14871205

    申请日:2015-09-30

    Abstract: A method includes receiving information associated with operation of multiple pieces of industrial equipment at multiple sites. The multiple pieces of industrial equipment are of a same or similar type, and the information represents different types of data including operational data associated with the multiple pieces of industrial equipment and text-based data associated with the multiple pieces of industrial equipment. The method also includes analyzing the information to identify correlations in the information associated with one or more conditions involving the pieces of industrial equipment. The method further includes, based on the analyzing, generating one or more monitoring rules or routines to be used to identify the one or more conditions. The multiple pieces of industrial equipment could include machines with rotating components, machines with heat transfer equipment, or general process equipment.

    Abstract translation: 一种方法包括在多个站点处接收与多个工业设备的操作相关联的信息。 多个工业设备是相同或类似的,并且该信息表示不同类型的数据,包括与多个工业设备相关联的操作数据和与多个工业设备相关联的基于文本的数据。 该方法还包括分析信息以识别与涉及工业设备的一个或多个条件相关联的信息中的相关性。 该方法还包括基于分析,生成用于识别一个或多个条件的一个或多个监视规则或例程。 多台工业设备可以包括具有旋转部件的机器,具有传热设备的机器或一般工艺设备。

    RADAR-BASED VIBRATION SENSOR SELF-CALIBRATION METHOD
    16.
    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

    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。

    Methods and systems for vehicle contact prediction and auto brake activation

    公开(公告)号:US11260838B2

    公开(公告)日:2022-03-01

    申请号:US16009852

    申请日:2018-06-15

    Abstract: Systems and methods are disclosed for predicting a hot spot. One method comprises receiving, by a hot spot prediction system, vehicle characteristics associated with a vehicle and traffic data. Then the hot spot prediction system determines a hot spot and an estimated arrival time at the hot spot based on the vehicle characteristics and the traffic data. Following the determination, an auto brake application system receives the hot spot and the estimated arrival time and determines a safe stop time based on the vehicle characteristics, the hot spot and the estimated arrival time. The auto brake application system then sends a notification to the vehicle based on determining that the vehicle can stop within the safe stop time, and performs an action in response to receiving a confirmation from the vehicle.

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