Inter/Intranet manufacturing machine monitoring (I2M3)

iVedha注意到对企业关键制造资产（机器）的监控需求增长。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旨在探索基于物联网（IOT）范式开发智能内部/内部网制造机器监控（I2 M3）原型的实用性，因为这显然是一个新兴的细分市场，我们的客户需求也很明确。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实现什么粒度（每个制造机器实际上可以互连多少监视器）以及什么类型的通信架构最合适（主节点与分布式消息通道）？在企业级别，可以支持单个机器的决策的性质是什么，以及如何在企业中支持扩展到涉及许多机器的宏观级别决策？在最低层次，必须设计和构建适当的物联网设备，以支持足够的网络，计算和传感水平，并产生信息和准确的数据流，同时保持对正在监测的物理现象类型的不可知性。

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.