Heavy Equipment Handling-Industrial Internet of Things Sensors, Data & Predictive Maintenance

Handling Specialty是格里姆斯比和汉密尔顿安大略省的制造商，设计，制造和提供材料处理重型设备，其中包括起重，倾斜，旋转和横移设备的支持。自1963年以来，Handling Specialty成功地为客户行业提供服务，包括先进制造业，航空航天与国防，汽车，能源，娱乐，加工行业和铁路/运输。按订单生产的重型设备需要具有一致的可靠性，以及计划内/最小的故障相关停机时间。他们为客户制造的设备有停机时间（像所有设备一样），这是由于意外问题导致需要维修或计划外维护。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，将总体维护成本降低高达30%，并消除高达70%的故障（2014年）。德勤发现，糟糕的维护策略会使工厂的产能降低5-20%（2017年）。为了减少停机时间并战略性地安排维护，该项目将开发工业物联网（IIoT）传感器平台，以监控关键设备参数。IIoT传感器将与软件连接，以生成分析结果，并在预计出现问题时通知Handling Specialty及其客户，以安排预防性维护。莫霍克学院拥有开发IIoT传感器包的专业知识，创建使用传感器数据的软件，并分析数据以提供可操作的信息。莫霍克学院最近批准的学院工业研究主席（IRCC）Esteve哈桑博士及其工业物联网专业知识非常适合支持搬运专业。该项目将测试工业传感器包及其在重型设备上的最佳位置;对设备参数进行数据分析，以生成操作基线，并开发预测分析。这项工作将根据Handling Specialty的目标和客户的需求定制和推进设备分析。

Handling Specialty is a Grimsby and Hamilton Ontario-based manufacturer that designs, manufactures and provides support for materials handling heavy equipment, which includes lifting, tilting, rotating, and traversing equipment. Handling Specialty is successful in servicing their client industries, including advanced manufacturing, aerospace & defence, automotive, energy, entertainment, process industries, and rail/transportation since 1963. Made-to-order heavy equipment needs to have consistent reliability, and planned/minimal failure-related downtime. The equipment they manufacture for their clients has downtime (like all equipment) that results from unexpected issues causing the need for repair or unplanned maintenance. According to Accenture, predictive maintenance can save up to 12% over scheduled repairs, reducing overall maintenance costs up to 30% and eliminating breakdowns up to 70% (2014). Deloitte found that poor maintenance strategies can reduce a plant's capacity between 5-20% (2017).To reduce downtime and to strategically schedule maintenance, the project will develop Industrial Internet of Things (IIoT) sensor platforms to monitor key equipment parameters. The IIoT sensors will be connected with software to produce analytics that will notify Handling Specialty and their clients when issues are anticipated to schedule preventative maintenance. Mohawk College has the expertise to develop IIoT sensor packages, create software to use the sensor data, and to analyze the data to provide actionable information. Mohawk College's recently approved Industrial Research Chair for Colleges (IRCC), Dr. Esteve Hassan, and his IIoT expertise is a great fit to support Handling Specialty. The project will test industrial sensor packages and their optimal locations on heavy equipment; data analytics of equipment parameters to produce a baseline of operations, and develop predictive analytics. The work will customize and advance equipment analytics based on Handling Specialty's goals and their client's needs.