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Predictive analysis for industrial maintenance automation and optimization using a smart sensor network

机译:使用智能传感器网络进行工业维护自动化和优化的预测分析

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In the move to world-class manufacturing (WCM), many firms are realizing a critical need for effective maintenance of production facilities and systems. With the trend to just-in-time (JIT) production and flexible, agile manufacturing, it is vital that maintenance management becomes integrated with corporate strategy to ensure equipment availability, quality products, on-time deliveries, and competitive pricing. The changing needs of modern manufacturing necessitate a re-examination of the role that improved maintenance management plays in achieving key cost and service advantages. "Predictive Analysis of Industrial Maintenance Automation and Optimization using a Smart Sensor Network" is an all in one solution to the problems faced during industrial maintenance. It provides complete automation of the maintenance processing by using the effective combination of an Online Maintenance portal, Real time maintenance notification system, Optimization using Smart sensor network and by implementing methods such as Data Analytics and Data Extraction to analyze and process the data generated.
机译:在转向世界一流的制造业(WCM)的过程中,许多公司意识到有效维护生产设施和系统的迫切需求。随着准时(JIT)生产和灵活,敏捷制造的趋势,将维护管理与公司战略相集成以确保设备可用性,优质产品,准时交货和有竞争力的价格至关重要。现代制造业不断变化的需求使得有必要重新研究改进的维护管理在实现关键成本和服务优势方面所起的作用。 “使用智能传感器网络进行工业维护自动化和优化的预测分析”是针对工业维护过程中所面临问题的全能解决方案。通过使用在线维护门户网站,实时维护通知系统,使用智能传感器网络进行的优化以及实施诸如数据分析和数据提取等方法来分析和处理生成的数据的有效组合,它提供了维护过程的完全自动化。

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