Computer System and Method of Evaluating Fuel Efficiency of Assets Using a Predictive Model

    公开(公告)号:US20210012263A1

    公开(公告)日:2021-01-14

    申请号:US16505416

    申请日:2019-07-08

    IPC分类号: G06Q10/06 G07C5/02 G06N5/02

    摘要: A computing system may define a predictive model that is configured to receive, for a given set of data variables, data values that are related to operation of an asset during an observation period, and based on the received data values, output a prediction of fuel consumption of the asset during the observation period, where the given set of data variables may include data variables from different categories of data variables. The computing system may then obtain a dataset that includes, for the given set of data variables, data values that are related to operation of a given asset during a given observation period, apply the predictive model to the obtained dataset, and perform an evaluation of whether any data variable in the given set of data variables presented a fuel savings opportunity for the given asset during the given observation period.

    Computer Architecture and Method for Recommending Asset Repairs

    公开(公告)号:US20180039956A1

    公开(公告)日:2018-02-08

    申请号:US15231587

    申请日:2016-08-08

    摘要: Disclosed herein are systems, devices, and methods related for generating a recommendation to repair an asset based on operating data. A computing system may be configured maintain a hierarchy that comprises two or more distinct levels of conditions that operating data may be checked against in order to determine which repair recommendation (if any) should be output. The hierarchy may include at least (1) a first condition that corresponds to a first repair recommendation having a first level of precision, and (2) a second condition that corresponds to a second repair recommendation having a second level of precision. Once repair recommendations are identified for satisfied conditions, the computer system may select the recommendation having the highest level of precision and then cause that recommendation to be output.

    COMPUTING SYSTEM AND METHOD FOR DETERMINING AGGREGATED RISK VALUES

    公开(公告)号:US20240272630A1

    公开(公告)日:2024-08-15

    申请号:US18107586

    申请日:2023-02-09

    IPC分类号: G05B23/02 G06N5/022

    CPC分类号: G05B23/0283 G06N5/022

    摘要: Computing systems and methods for determining aggregated risk are disclosed herein. An exemplary computing platform includes: a communication interface, one or more processors, a non-transitory computer-readable medium, and program instructions stored on the non-transitory computer-readable medium. The program instructions, when executed, cause the computing platform to: execute a set of predictive models that are each configured to (i) evaluate operating data for the asset and (ii) output a respective prediction related to an operation of the asset; detect a triggering event for determining an aggregated risk value for the asset; identify (i) a set of predictions related to the operation of the asset and (ii) a risk dataset; determine the aggregated risk value of the asset based on the set of predictions and the risk dataset; and cause a client device to display a visual representation of the aggregated risk value.

    Computer System and Method for Recommending an Operating Mode of an Asset

    公开(公告)号:US20200278273A9

    公开(公告)日:2020-09-03

    申请号:US16125335

    申请日:2018-09-07

    IPC分类号: G01M99/00

    摘要: Disclosed herein are systems, devices, and methods related to assets and asset operating conditions. In particular, examples involve determining health metrics that estimate the operating health of an asset or a part thereof, determining recommended operating modes for assets, analyzing health metrics to determine variables that are associated with high health metrics, and modifying the handling of operating conditions that normally result in triggering of abnormal-condition indicators, among other examples.