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Utilizing Telematics Data to Support Effective Equipment Fleet-Management Decisions: Utilization Rate and Hazard Functions

机译:利用远程信息处理数据来支持有效的设备机队管理决策:利用率和危险功能

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摘要

Contractors and equipment rental companies have started to acknowledge and use the telematics technology as a reliable solution for timely collection of their equipment fleet data. Telematics is the integration of wireless communications, vehicle monitoring systems, and location devices to provide real-time spatial and performance data of the fleet machines. Despite the large amount of real-time equipment data made available by telematics, fleet managers still try to identify ways to use such data to make informed fleet-management decisions. This paper presents the development of novel telematics-based computational methodologies to support two major equipment fleet management tasks: fleet use assessment and equipment health monitoring. First, a description of the telematics system and data used are presented. Second, a computational algorithm is proposed to quantify the fleet-wide equipment used, based on basic telematics data. Third, a health-monitoring framework is developed to estimate equipment failure events using telematics-based hazard functions, which were developed using survival analysis techniques. Finally, the telematics data sets of large equipment fleets (dozers, excavators, backhoes, and dump trucks) from two companies are used to verify and validate the proposed research developments by providing insightful fleetmanagement information. (C) 2014 American Society of Civil Engineers.
机译:承包商和设备租赁公司已开始认可并使用远程信息处理技术作为及时收集设备车队数据的可靠解决方案。远程信息处理是无线通信,车辆监控系统和定位设备的集成,可提供车队机器的实时空间和性能数据。尽管远程信息处理提供了大量的实时设备数据,但车队管理者仍在尝试寻找使用此类数据做出明智的车队管理决策的方法。本文介绍了基于远程信息处理的新型计算方法的开发,以支持两个主要的设备车队管理任务:车队使用评估和设备健康状况监控。首先,介绍了远程信息处理系统和使用的数据。其次,基于基本的远程信息处理数据,提出了一种计算算法来量化所使用的全舰队设备。第三,开发了一种健康监控框架,以使用基于远程信息处理的危险功能估算设备故障事件,该功能是使用生存分析技术开发的。最后,来自两家公司的大型设备车队(推土机,挖掘机,反铲和自卸车)的远程信息处理数据集通过提供有洞察力的车队管理信息,用于验证和验证拟议的研究进展。 (C)2014年美国土木工程师学会。

著录项

  • 来源
    《Journal of Computing in Civil Engineering》 |2016年第1期|04014122.1-04014122.11|共11页
  • 作者单位

    Santa Clara Univ, Dept Civil Engn, Santa Clara, CA 95053 USA|Cairo Univ, Fac Engn, Giza, Egypt;

    DPL Amer, Sales & Business Dev, Menlo Pk, CA 94025 USA;

    Santa Clara Univ, Dept Civil Engn, Santa Clara, CA 95053 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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