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iMonitor: A Real-Time Monitoring Platform for Industrial Internet of Things

  • Zhiyu Liang,
  • Linhan Jia,
  • Bo Zheng,
  • Hongzhi Wang

摘要

The rise of the Internet of Things (IoT) has led to the increasing prevalence of industrial monitoring applications, which is achieved by collecting, managing, and analyzing the time-series data generated by various industrial equipments. However, existing monitoring tools are mainly designed for IT scenarios (e.g., dabatase monitoring), but can hardly handle the industrial applications that require processing time-series data significantly larger in volume with lower latency. To address these challenges, we propose iMonitor, a real-time data monitoring system specifically designed for industrial IoT applications. We describe the main features and key techniques of iMonitor, and adopt a real-world blast furnace ironmaking scenario as an example to demonstrate the functionalities of the system.