Overhead Crane Operations Tracking System Development

Zelus Material Handling（Zelus）是安大略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。公司在许多 工业需要起重机，及时的维护和修理是至关重要的。目前已安排维护 基于一般的最佳实践，而不是来自起重机的客观数据。此外，Zelus定期收到 紧急服务呼叫请求几乎没有关于起重机问题的细节或数据。泽洛斯想计划一个 可靠的传感器和软件系统，使用云来收集和分析起重机的长期使用数据。与数据 从起重机操作中，Zelus技术人员可以更好地准备修理和维修起重机，包括 应急需求，并为每台起重机精确定制起重机维护和维修时间。莫霍克 学院拥有具有相关软件，电子和数据经验的教师和学生团队成员， 支持Zelus进行工业物联网（IIoT）的研究和应用 起重机.根据埃森哲的数据，预测性维护可以比定期维修节省高达12%的费用， 总体维护成本高达30%，故障消除率高达70%。起重机数据将有助于减少 制造商在计划外的起重机维修期间停工，并通过有效的起重机提高盈利能力 上维护此外，德勤发现，糟糕的维护策略可能会使工厂的产能降低5-20% （2017年）。Zelus和莫霍克学院将致力于开发一个可以扩展的系统，以预测维护， 减少故障并改进维护策略。

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.