Inter/Intranet manufacturing machine monitoring (I2M3)

Inter/Intranet 制造机器监控 (I2M3)

• 批准号: 491889-2015
• 负责人: Ferworn, Alexander
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=587122
• 关键词: Inter; Intranet; manufacturing; machine; monitoring

iVedha has noted the growth in demand for the monitoring of enterprise-critical manufacturing manufacturing assets (machines). Clients want the ability to predict and schedule necessary maintenance in a way that reduces downtime and reduces costs. iVedha seeks to explore the practicality of developing an Intelligent Inter/Intranet manufacturing machine monitoring (I2M3) prototype based on the Internet of Things (IOT) paradigm as this is clearly an emerging market segment and our client needs are clear. Such a system would be targeted at small and mid-size manufacturers with limited information technology monitoring and management capacity. There are several clear challenges including determining what granularity can be achieved at the manufacturing machine level (how many monitors can be practically interconnected per manufacturing machine) and what type of communication architecture is most suitable (master node vs. distributed message passage)? At the enterprise level, what is the nature of the decision making that can be supported for individual machines and how can scaling to macro-level decisions involving many machines over extended periods of time be supported in the enterprise? At the lowest level, an appropriate IOT device must be devised and constructed that supports a sufficient level of networking, computation and sensing and produces an informative and accurate data stream, while remaining agnostic as to what type of physical phenomena is being monitored.

IVedha注意到对企业关键制造制造资产(机器)监控的需求增长。客户希望能够以减少停机时间和降低成本的方式预测和安排必要的维护。IVedha致力于探索开发基于物联网(IOT)范式的智能内部/内部网制造机器监控(I2M3)原型的可行性，因为这显然是一个新兴市场细分市场，我们的客户需求也很明显。这一系统将针对信息技术监测和管理能力有限的中小型制造商。 有几个明显的挑战，包括确定在制造机器级别可以达到什么粒度(每台制造机器实际上可以互连多少个监视器)以及最适合的通信体系结构类型(主节点与分布式消息通道)？在企业级别，可以支持单个计算机的决策的性质是什么？企业如何支持在较长时间内扩展到涉及多台计算机的宏观级别决策？在最低级别，必须设计和建造适当的物联网设备，以支持足够水平的联网、计算和传感，并产生信息量大且准确的数据流，同时不知道正在监测什么类型的物理现象。