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Low-Cost Prototype for Realtime Condition Monitoring with NoSQL Cloud Native Database

Author

Listed:
  • Bochun Zhu

    (School of Electrical and Electronic Engineering, Singapore Polytechnic)

  • Fan Julie

    (School of Electrical and Electronic Engineering, Singapore Polytechnic)

  • Yi Feng Yee

    (School of Electrical and Electronic Engineering, Singapore Polytechnic)

Abstract

This paper introduces a low-cost prototype developed using open source hardware and software for realtime condition monitoring in areas, like Industry 4.0, etc. The prototype utilizes Arduino® UNO R4 WiFi with sensors to record, send and store machine / environment data timely to cloud native NoSQL database. The machine / environment data stored in NoSQL is visualized with Grafana from both desktop browser and mobile devices. Realtime alert is sent to personnel in charge for necessary actions to be taken when abnormal machine conditions / environment data are detected. By monitoring key components and environmental factors in a machine or system, detecting deviations from optimal operational parameters, and facilitating timely intervention using this prototype, overall equipment effectiveness could be enhanced, and downtime could be reduced. The adoption of open source software offers several advantages, including cost-effectiveness, flexibility, and community support. This study could provide valuable insights into the development and implementation of low-cost Industry 4.0 condition monitoring solutions using open source software and hardware, addressing the growing demand for affordable yet efficient condition monitoring and maintenance strategies in industrial settings.

Suggested Citation

  • Bochun Zhu & Fan Julie & Yi Feng Yee, 2024. "Low-Cost Prototype for Realtime Condition Monitoring with NoSQL Cloud Native Database," Proceedings of International Academic Conferences 14816431, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:14816431
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    File URL: https://iises.net/proceedings/iises-international-academic-conference-prague-63/table-of-content/detail?cid=148&iid=007&rid=16431
    File Function: First version, 2024
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    More about this item

    Keywords

    Conditional Monitoring; IoT; Industry 4.0; NoSQL Database; Cloud Native Database; Open Source Hardware; Open Source Software;
    All these keywords.

    JEL classification:

    • L17 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Open Source Products and Markets
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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