公开(公告)号：US20240086801A1

公开(公告)日：2024-03-14

申请号：US17930444

申请日：2022-09-08

Applicant: Caterpillar Inc.

Inventor： Vishnu Gaurav Selvaraj ,  Duraivel Rajendran ,  Kavitharani Ramamoorthy ,  Mugesh Ganesh ,  Nigitha Selvaraj

IPC: G06Q10/06

CPC classification number: G06Q10/06313

Abstract: A job at a worksite can be performed by different numbers of machines, and machines can be deployed to perform the job according to different dispatch schemes. A computing system can use job design data and other job parameters associated with the job to determine projected job performance times and costs associated with different combinations of candidate fleet sizes and candidate dispatch schemes. The computing system can identify a particular fleet size and dispatch scheme combination, among the possible fleet size and dispatch scheme combinations, that is associated with a projected job performance time and a projected job cost that best satisfies a time-cost goal for the job.

公开(公告)号：US20170038281A1

公开(公告)日：2017-02-09

申请号：US15332752

申请日：2016-10-24

Applicant: Caterpillar Inc.

Inventor： Ankitkumar P. Dhorajiya ,  William D. Hankins ,  Vishnu Gaurav Selvaraj ,  Kavitharani Ramamoorthy ,  John Mathew ,  Balaraju Bende

IPC: G01M99/00

CPC classification number: G06Q10/20

Abstract: A method of predicting life of a component of a machine is provided. The method includes receiving input data associated with the machine from a data repository. The input data include data associated with machine events and repairs. The method further includes analyzing the input data. Analyzing the input data includes determining a time difference between the machine event and the repair associated with the machine event, a repair reoccurrence, and the repair and a repair of an associated component. Analyzing the input data includes mapping the data associated with the machine event and repair based on the time difference, determining a weightage of a parameter for the machine events and the repairs based on the mapping, and computing a confidence rate of the machine event and the repair based on the weightage. The method further includes generating maintenance data of the component based on the confidence rate.

Abstract translation: 提供了一种预测机器部件寿命的方法。 该方法包括从数据存储库接收与机器相关联的输入数据。 输入数据包括与机器事件和维修相关的数据。 该方法还包括分析输入数据。 分析输入数据包括确定机器事件和与机器事件相关联的修复之间的时间差，修复再发生以及相关组件的修复和修复。 分析输入数据包括基于时间差映射与机器事件相关联的数据和修复，基于映射确定机器事件的参数的权重和修复，以及计算机器事件和 基于重量的修理。 该方法还包括基于置信率产生组件的维护数据。