工业4.0中的物联网智能工厂,综述

Mohsen Soori , Behrooz Arezoo , Roza Dastres
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引用次数: 33

摘要

在工业4.0时代,物联网(IoT)通过使用互联设备、传感器和软件网络来监控和优化生产过程,在传统工厂向智能工厂的转变中发挥着重要作用。在智能工厂中使用物联网的预测性维护也可用于防止机器故障,减少停机时间并延长设备的使用寿命。为了监控和优化零件制造过程中的能源使用情况,制造商可以通过在智能工厂中部署物联网传感器,实时了解能源消耗模式。此外,物联网可以提供更全面的工厂环境视图,通过识别潜在危险并提醒工人注意潜在危险来提高工作场所的安全性。供应商可以使用支持物联网的跟踪设备来监控货物,并提供有关交货时间和地点的实时更新,以便分析和优化智能工厂的供应链。此外,物联网是一项强大的技术,可以优化智能工厂的库存管理,以降低成本,提高效率,并提供对库存水平和流动的实时可见性。为了分析和增强物联网对工业4.0智能工厂的影响,本文进行了综述。综述了物联网在智能工厂中的应用,如预测性维护、资产跟踪、库存管理、质量控制、生产过程监控、能源效率和供应链优化。因此,通过分析物联网在工业4.0智能工厂中的应用,可以为提高质量控制和优化零件生产流程提供新的思路和先进的方法。
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Internet of things for smart factories in industry 4.0, a review

The Internet of Things (IoT) is playing a significant role in the transformation of traditional factories into smart factories in Industry 4.0 by using network of interconnected devices, sensors, and software to monitor and optimize the production process. Predictive maintenance using the IoT in smart factories can also be used to prevent machine failures, reduce downtime, and extend the lifespan of equipment. To monitor and optimize energy usage during part manufacturing, manufacturers can obtain real-time insights into energy consumption patterns by deploying IoT sensors in smart factories. Also, IoT can provide a more comprehensive view of the factory environment to enhance workplace safety by identifying potential hazards and alerting workers to potential dangers. Suppliers can use IoT-enabled tracking devices to monitor shipments and provide real-time updates on delivery times and locations in order to analyze and optimize the supply chain in smart factories. Moreover, IoT is a powerful technology which can optimize inventory management in smart factories to reduce costs, improve efficiency, and provide real-time visibility into inventory levels and movements. To analyze and enhance the impact of internet of thing in smart factories of industry 4.0, a review is presented. Applications of internet of things in smart factories such as predictive maintenance, asset tracking, inventory management, quality control, production process monitoring, energy efficiency and supply chain optimization are reviewed. Thus, by analyzing the application of IoT in smart factories of Industry 4.0, new ideas and advanced methodologies can be provided to improve quality control and optimize part production processes.

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