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    NETWORK-BASED SPRAY APPLICATION MONITORING AND MANAGEMENT
    2.
    发明申请
    NETWORK-BASED SPRAY APPLICATION MONITORING AND MANAGEMENT 有权

    公开(公告)号：US20220326687A1

    公开(公告)日：2022-10-13

    申请号：US17711360

    申请日：2022-04-01

    Applicant: Spraying Systems Co.

    Inventor： Kyle M. Bade ,  Rudolf J. Schick

    IPC: G05B19/4155 ,  H04N7/18 ,  H04N5/225 ,  G06T5/00 ,  G06T3/40

    Abstract: A networked spray application management arrangement is described herein. The spray application management arrangement includes a spray scan data server and a spray application. The spray scan application, in turn, includes: a spray nozzle monitoring apparatus that renders a process variable data indicative of a current status of a spray nozzle system; and a first network interface that sends a message comprising a data payload comprising information corresponding to the process variable data to the spray scan data server. The spray scan data server includes: a second network interface for receiving the message; a spray scan database for storing the information corresponding to the process variable data; and a spray scan data analysis engine.

    Machine learning-based particle-laden flow field characterization
    3.
    发明授权
    Machine learning-based particle-laden flow field characterization 有权

    公开(公告)号：US11709121B2

    公开(公告)日：2023-07-25

    申请号：US16950011

    申请日：2020-11-17

    Applicant: Spraying Systems Co.

    Inventor： Chad Sipperley ,  Rudolf J. Schick

    IPC: G01N15/02 ,  G06N3/04 ,  G06N3/08 ,  G06V10/70

    CPC classification number: G01N15/0211 ,  G01N15/0227 ,  G06N3/04 ,  G06N3/08 ,  G06V10/70

    Abstract: A particle measurement system and method of operation thereof are described. The system and method render a characteristic for a set of particles measured while passing through a measurement volume. The system includes a source that generates a particle-laden field containing the set of particles. The system further includes a sensor that generates a raw particle data corresponding to the set particles passing through the measurement volume of the particle measurement system, where the raw particle data comprises a set of raw particle records and each of one of the raw particle records includes a particle data content. A preconditioning stage carries out a preconditioning operation on the particle data content of the set of raw particle records to render a conditioned input data. A machine learning stage processes the conditioned input data to render an output characteristic parameter value for the set of particles.

    SYSTEM FOR DETERMINING AN ENSEMBLE CHARACTERISTIC OF A PARTICLE-LADEN FLOW
    4.
    发明申请
    SYSTEM FOR DETERMINING AN ENSEMBLE CHARACTERISTIC OF A PARTICLE-LADEN FLOW 审中-公开

    公开(公告)号：US20190383716A1

    公开(公告)日：2019-12-19

    申请号：US16442067

    申请日：2019-06-14

    Applicant: Spraying Systems Co.

    Inventor： Chad Sipperley ,  Rudolf J. Schick ,  Kyle M. Bade

    IPC: G01N15/02

    Abstract: A system and method are described for rendering a characteristic for a set of particles passing through a measurement volume of a particle optical measurement system. The method includes acquiring raw particle data for the particles passing through the measurement volume. The raw particle data comprises a set of raw particle records. Each particle record comprises at least: a trajectory of at least one particle, and a second primary mark of the at least one particle whose value influences an effective sampling area corresponding to the measurement volume. The method includes generating and storing an effective sampling area based upon: the trajectory of the at least one particle, and the second primary mark. Thereafter, an ensemble characteristic is rendered for the set of particles by performing an operation on the sampling area-corrected set of particle records.

    FLOW-CONTROL VALVE SYSTEM AND METHOD
    5.
    发明申请
    FLOW-CONTROL VALVE SYSTEM AND METHOD 审中-公开
    流量控制阀系统及方法

    公开(公告)号：US20150057816A1

    公开(公告)日：2015-02-26

    申请号：US14468585

    申请日：2014-08-26

    Applicant: Spraying Systems Co.

    Inventor： Rudolf J. Schick ,  Fadi Alameddine

    IPC: G05D7/06

    CPC classification number: G05D7/0635 ,  G01F1/36 ,  G01F15/005 ,  G05D23/1919

    Abstract: The disclosure describes a method for operating a flow-control valve that includes comparing a desired flow with an actual flow through the valve and re-calibrating a valve iso-curve at periodic intervals when the actual flow falls outside of a predetermined threshold relative to the desired flow. When operating in a nested control loop based on a control parameter, a flow setpoint is selected based on the control parameter and maintained independently of pressure across the flow-control valve.

    Abstract translation: 本公开描述了一种用于操作流量控制阀的方法，该方法包括将期望的流量与通过阀的实际流量进行比较，并且当实际流量相对于所述流量控制阀的预定阈值超出预定阈值时，以周期性间隔重新校准阀门等值线 所需流。 当基于控制参数在嵌套控制回路中操作时，基于控制参数选择流量设定点，并独立于流量控制阀上的压力进行维护。

    Spray plume shaping system and method
    8.
    发明授权
    Spray plume shaping system and method 有权

    公开(公告)号：US11077454B2

    公开(公告)日：2021-08-03

    申请号：US16245497

    申请日：2019-01-11

    Applicant: Spraying Systems Co.

    Inventor： Paul W. Vesely ,  Rudolf J. Schick

    IPC: B05B5/053 ,  B05B5/043 ,  B05B5/025 ,  B05B5/057 ,  B05D1/04

    Abstract: A system and method for shaping and/or directing a spray stream includes electrostatically charging a spray stream by exposing fluid to be sprayed to an electrical field within a fluid sprayer to create an electrostatically charged spray stream, and then creating an electrical field between secondary electrodes externally to the fluid sprayer such that the electrostatically spray stream is shaped and/or redirected as it passes through the electrical field.

    MACHINE LEARNING-BASED PARTICLE-LADEN FLOW FIELD CHARACTERIZATION
    9.
    发明申请
    MACHINE LEARNING-BASED PARTICLE-LADEN FLOW FIELD CHARACTERIZATION 有权

    公开(公告)号：US20210148802A1

    公开(公告)日：2021-05-20

    申请号：US16950011

    申请日：2020-11-17

    Applicant: Spraying Systems Co.

    Inventor： Chad Sipperley ,  Rudolf J. Schick

    IPC: G01N15/02 ,  G06N3/04 ,  G06N3/08

    Abstract: A particle measurement system and method of operation thereof are described. The system and method render a characteristic for a set of particles measured while passing through a measurement volume. The system includes a source that generates a particle-laden field containing the set of particles. The system further includes a sensor that generates a raw particle data corresponding to the set particles passing through the measurement volume of the particle measurement system, where the raw particle data comprises a set of raw particle records and each of one of the raw particle records includes a particle data content. A preconditioning stage carries out a preconditioning operation on the particle data content of the set of raw particle records to render a conditioned input data. A machine learning stage processes the conditioned input data to render an output characteristic parameter value for the set of particles.

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