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Overhead Crane Operations Tracking System Development

Overhead Crane Operations Tracking System Development
桥式起重机操作跟踪系统开发
批准号:
556593-2020
负责人:
Hassan, Esteve
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
翻译
Zelus物料搬运(Zelus)是安大略省最大的桥式起重机服务公司。他们设计, 制造、安装、维修、维护、现代化和检查各种尺寸的起重机系统。多家公司 工业需要起重机,而及时的维护和维修至关重要。目前正在安排维护 基于一般最佳实践,而不是来自起重机的客观数据。此外,泽卢斯经常收到 紧急服务呼叫请求,几乎没有关于起重机问题的详细信息或数据。泽勒斯想要计划一个 可靠的传感器和软件系统,可使用云收集和分析起重机的长期使用数据。使用数据 从起重机操作中,Zelus技术人员可以更好地准备修复和维修起重机,包括 应急需求,并准确地为每台起重机量身定做起重机的维护和维修时间。莫霍克语 学院拥有具有相关软件、电子和数据经验的教职员工和学生团队成员 支持Zelus研究和应用工业物联网(IIoT)进入开销 起重机。根据埃森哲的数据,预测性维护可以比计划维修节省高达12%的成本,从而减少 总体维护成本高达30%,故障排除成本高达70%。起重机数据将有助于减少 在计划外起重机维修期间制造商停机,并通过有效的起重机提高盈利能力 维修。此外,德勤发现,糟糕的维护策略可能会使工厂的产能减少5%-20% (2017年)。泽勒斯和莫霍克学院将致力于开发一种可扩展以预测维护情况的系统, 减少故障,改进维护策略。
英文摘要
Zelus Material Handling (Zelus) is the largest overhead crane service company in Ontario. They design, manufacture, install, repair, maintain, modernize, and inspect crane systems of all sizes. Companies in many industries require cranes, and timely maintenance and repairs are critical. Maintenance is currently scheduled based on general best practices, rather than objective data from the crane. Further, Zelus regularly receives urgent service call requests with little to no detail or data about the crane issue. Zelus would like to plan a reliable sensor and software system to collect and analyze long-term crane use data using the cloud. With data from crane operations, Zelus technicians could be better prepared to fix and service cranes, including emergency needs, and tailoring crane maintenance and repair timing for each crane accurately. Mohawk College has faculty and student team members with relevant software, electronics and data experiences to support Zelus with the investigation and application of Industrial Internet of Things (IIoT) into overhead cranes. According to Accenture, predictive maintenance can save up to 12% over scheduled repairs, reducing overall maintenance costs up to 30% and eliminating breakdowns by up to 70%. Crane data will help reduce manufacturer downtime during unplanned crane repair and increase profitability through effective crane maintenance. Further, Deloitte found that poor maintenance strategies could reduce a plant's capacity by 5-20% (2017). Zelus and Mohawk College will aim to develop a system that can be scaled to predict maintenance, reduce breakdowns, and improve maintenance strategies.
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ArcelorMittal Dofasco - Automation of Slag Raking
  • 批准号:
    555742-2020
  • 项目类别:
    Applied Research and Development Grants - Level 3
  • 资助金额:
    $10.93万
  • 财政年份:
    2021
  • 负责人:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
    Applied Research and Development Grants - Level 1
  • 资助金额:
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  • 财政年份:
    2020
  • 负责人:
    Hassan, Esteve
  • 依托单位:
ArcelorMittal Dofasco - Automation of Slag Raking
  • 批准号:
    555742-2020
  • 项目类别:
    Applied Research and Development Grants - Level 3
  • 资助金额:
    $10.93万
  • 财政年份:
    2020
  • 负责人:
    Hassan, Esteve
  • 依托单位:
Heavy Equipment Handling-Industrial Internet of Things Sensors, Data & Predictive Maintenance
  • 批准号:
    544864-2019
  • 项目类别:
    Applied Research and Development Grants - Level 1
  • 资助金额:
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  • 财政年份:
    2019
  • 负责人:
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