HIGH THROUGHPUT CHARACTERIZATION OF AGGREGATE PARTICLES

    公开(公告)号:US20240169030A1

    公开(公告)日:2024-05-23

    申请号:US17990569

    申请日:2022-11-18

    CPC classification number: G06F18/214 G06F18/251

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterization of aggregate particles. A method includes obtaining, from a set of low fidelity sensors, first sensor data of a first portion of particles; obtaining, from a set of high fidelity sensors, second sensor data of the first portion of particles, the second sensor data comprising a higher fidelity representation of characteristics of the first portion of particles than the first sensor data; training a characterization model using the first sensor data and the second sensor data, the training comprising: providing, as training data to the characterization model, the second sensor data; and processing the second sensor data with the characterization model to correlate the first sensor data with the second sensor data. The first sensor data can indicate shape characteristics of each particle; and the second sensor data indicates a surface area of each particle.

    IN-PROCESS ADJUSTMENT TO CRUSHING SYSTEMS
    2.
    发明公开

    公开(公告)号:US20240165634A1

    公开(公告)日:2024-05-23

    申请号:US17990558

    申请日:2022-11-18

    CPC classification number: B02C25/00 G05B13/027 G05B13/042

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for in-process adjustment to crushing systems. A method includes obtaining pre-crush particle data indicating characteristics of a portion of particles before crushing the portion of particles with a crushing system; obtaining settings data indicating one or more settings of the crushing system; obtaining post-crush particle data indicating characteristics of the portion of particles after crushing the portion of particles; and training a prediction model using the pre-crush particle data, the settings data, and the post-crush particle data, comprising: processing, using the prediction model, the pre-crush particle data and the settings data to obtain a corresponding output including predicted characteristics of the portion of particles after crushing the portion of particles with the crushing system; and adjusting parameters of the prediction model based on comparing the output of the prediction model to the post-crush particle data.

    EMPIRICAL OPTIMIZATION OF CONCRETE RECIPES
    3.
    发明公开

    公开(公告)号:US20240047020A1

    公开(公告)日:2024-02-08

    申请号:US17882250

    申请日:2022-08-05

    CPC classification number: G16C60/00 C04B40/0032

    Abstract: Methods, systems, and apparatus for developing recipes for concrete mixtures are disclosed. A method includes obtaining second input data including a second recipe for combining the plurality of ingredients; mixing the plurality of ingredients according to the second recipe to produce a second mixture; obtaining sensor data representing one or more qualities of the second mixture; evaluating the second mixture using the sensor data to obtain performance measures of the concrete mixture; processing the input data with the mixture prediction model to obtain a corresponding output of the mixture prediction model, the corresponding output including predicted performance measures for the second mixture; and adjusting parameters of the mixture prediction model based on comparing the output of the mixture prediction model to the performance measures of the second mixture.

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