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Maintenance Scheduling of Heavy Machinery Using IoT for Wide Range of Real-Time Applications

  • Jasti LavanyaEmail author
  • P. Kusuma Vani
  • N. Srinivas Gupta
Conference paper
  • 11 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 655)

Abstract

This proposed system presents the design of machinery maintenance scheduling system using Twitter feed with the use of ARM processor FRDMKL25Z, cloud service “ThingSpeak” and ESP8266 Wi-Fi module. The sensors in the system intensively monitor temperature, vibrations and smoke in the machinery. Measured parameters from sensors are sent to cloud for analysis through Wi-Fi module by the processor to monitor the data continuously. When the sensor data crosses certain safety level in the machinery, then an alert notification is sent to the Twitter feed. The sensor data is continuously monitored by the processor and is stored in the cloud service “ThingSpeak” which analyzes the data. When the data crosses certain safety levels, then a live Twitter feed notification is updated to the linked organizational Twitter account. We can also set a reminder for machinery service by giving date and time to ThingSpeak.

Keywords

Internet of things Scheduling Machine maintenance Smoke sensor Vibration sensor Temperature sensor KL25Z ARM Cortex 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • Jasti Lavanya
    • 1
    Email author
  • P. Kusuma Vani
    • 1
  • N. Srinivas Gupta
    • 1
  1. 1.Raghu Institute of Technology (RIT)Dakamarri, Bheemunipatnam, VisakhapatnamIndia

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