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
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 655)


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.


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


  1. 1.
    Camci F (2015) Maintenance scheduling of geographically distributed assets with prognostics information. Eur J Oper ResGoogle Scholar
  2. 2.
    Froger A, Gendreau M, Mendoza JE, Pinson E, Rousseau L-M (2014) Maintenance scheduling in the electricity industry: a literature review. CIRRELTGoogle Scholar
  3. 3.
    Niu G, Yang B-S, Pecht M (2010) Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance. Eur Saf Reliab Assoc Saf Eng Risk Anal DivGoogle Scholar
  4. 4.
    Ribrant J (2005/2006) Reliability performance and maintenance—a survey of failures in wind power systems. KTH School of Electrical EngineeringGoogle Scholar
  5. 5.
    Ahmed R, Kamaruddin S (2012) An overview of time-based and condition-based maintenance in industrial applicationGoogle Scholar
  6. 6.
    Canfield RV (1986) Cost optimization of periodic preventive maintenance. IEEE Trans Reliab 35(1):78–81CrossRefGoogle Scholar
  7. 7.
    Grall A, Dieulle L, Berenguer C, Roussignol M (2002) Continuous-time predictive-maintenance scheduling for a deteriorating system. IEEE Trans Reliab 51(2)Google Scholar
  8. 8.
    Jayabalan V, Chaudhuri D (1992) Cost optimization of maintenance scheduling for a system with assured reliability. IEEE Trans Reliab 41(1):21–25CrossRefGoogle Scholar
  9. 9.
    Dekker R (1996) Applications of maintenance optimization models: a review and analysis. Reliab Eng Syst SafGoogle Scholar
  10. 10.
    Zhou X, Xi L, Lee J (2005) Reliability centered predictive maintenance scheduling for a continuously monitored system subject to degradationGoogle Scholar
  11. 11.
    Lee J, Ni J, Djurdjanovic D, Qiu H, Liao H (2006) Intelligent prognostics tools and e-maintenance. Comput Ind 57(6):476–489CrossRefGoogle Scholar
  12. 12.
    Labib AW (2004) A decision analysis model for maintenance policy selection using a CMMS. J Qual Maint Eng 10(3):191–202CrossRefGoogle Scholar
  13. 13.
    Yam RCM, Tse PW, Li L, Tu P (2001) Intelligent predictive decision support system for condition-based maintenance. Int J Adv Manuf Technol 17:383Google Scholar
  14. 14.
    Löfsten H (1999) Management of industrial maintenance—economic evaluation of maintenance policies. Int J Oper Prod Manag 19(7):716–737CrossRefGoogle Scholar
  15. 15.
    Usher JS, Kamal AH, Syed WH (1998) Cost optimal preventive maintenance and replacement scheduling. IIE TransGoogle Scholar
  16. 16.
    Tsang AHC (1995) Condition-based maintenance: tools and decision making. J Qual Maint Eng 1(3):3–17CrossRefGoogle Scholar

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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