Overhead Crane Operations Tracking System Development
Overhead Crane Operations Tracking System Development
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
中文摘要
泽鲁斯材料搬运(泽鲁斯)是安大略省最大的桥式起重机服务公司。他们的设计,
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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会议论文
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批准号:555742-2020
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项目类别:Applied Research and Development Grants - Level 3
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资助金额:$10.93万
-
财政年份:2021
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负责人:Hassan, Esteve
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依托单位:
Investigation and Development of a Small Modular Multi-Layered Industrial Internet of Things Prototype with Multiple Onboard Data Transfer/Communications Methods
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批准号:561053-2020
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项目类别:Applied Research and Development Grants - Level 1
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资助金额:$1.82万
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财政年份:2020
-
负责人:Hassan, Esteve
-
依托单位:
ArcelorMittal Dofasco - Automation of Slag Raking
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批准号:555742-2020
-
项目类别:Applied Research and Development Grants - Level 3
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资助金额:$10.93万
-
财政年份:2020
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负责人:Hassan, Esteve
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依托单位:
Heavy Equipment Handling-Industrial Internet of Things Sensors, Data & Predictive Maintenance
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批准号:544864-2019
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项目类别:Applied Research and Development Grants - Level 1
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资助金额:$1.55万
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财政年份:2019
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负责人:Hassan, Esteve
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依托单位:
Aircraft Fuselage and Wing Assembly Alignment Sensor and Software System Development
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批准号:549113-2019
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项目类别:Applied Research and Development Grants - Level 1
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资助金额:$1.82万
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财政年份:2019
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负责人:Hassan, Esteve
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依托单位:
海外基金