Monitoring System For A Bucket Milking Machine Based On IoT

Monitoring System For A Bucket Milking Machine Based On IoT

© 2021 by IJETT Journal
Volume-69 Issue-9
Year of Publication : 2021
Authors : Chiraphon Takaeng, Apinan Aurasopon
DOI :  10.14445/22315381/IJETT-V69I9P204

How to Cite?

Chiraphon Takaeng, Apinan Aurasopon, "Monitoring System For A Bucket Milking Machine Based On IoT," International Journal of Engineering Trends and Technology, vol. 69, no. 9, pp. 29-33, 2021. Crossref,

This paper proposes a monitoring system for bucket milking machine operation based on The Internet of Things. The system consists of embedded systems for monitoring 1) the speed of vacuum pump including input power sources such as voltage, current, power, energy, frequency, and power factor and 2) the operation of pulsator such as maximum and minimum vacuum, time period, round per minute, time phase A, B, C, D, milking and rest phases. These data are sent to the cloud system for recoding in Google sheet. From the experiment results at dairy farms, the proposed system can correctly measure the operations of the vacuum pump and the pulsator. Moreover, these data can be used to classify the milking bucket machine correctly

Bucket milking machine, vacuum pump, pulsator, embedded system, Google sheet.

[1] Richard Laven. Mastitis Part 9 - The Milking Machine, NADIS animal health skills, (2021) 1-3.
[2] ASAE., Milking machine installations-construction and performance, ASAE Standards S.518.1 MAR94, St. Joseph, Michigan, 1996.
[3] ASAE., Terminology for milking machine systems, ASAE Standards S.300.2 DEC94, St. Joseph, Michigan, 1996.
[4] P.I. Migulev, S.I. Schukin, D.A. Abylkasymov, T.N. Shchukina. Study of Milking Machine with Independent Vacuum Mode International Journal of Engineering Trends and Technology, 68(9)18-26.
[5] Gabriel D., W. Becari, F. S. Lima and H. E. Peres. Electrical Impedance Sensor for Real-Time Detection of Bovine Milk Adulteration, IEEE Sensors Journal, 16(4) 861-865.
[6] Das, S., B. Goswami, K. Biswass. Milk Adulteration and Detection A Review, Sensor Letters, 14, 4-18.
[7] S. Saravanan, Kavinkumar M., Kokul N. S., Krishna N. S. andNitheeshkumar V., Smart Milk Quality Analysis and Grading Using IoT, 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), (2021) 278-283.
[8] P. R Kadam and K. P. Shinde. Real-Time Milk Monitoring System, 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), (2018) 1-5.
[9] Rajakumar, G., T. A. Samuel, T. S. Arunsamuel, and E. M. Kumaran.IoT-based milk monitoring system for detection of milk adulteration, International Journal of Pure and Applied Mathematics, 118(9) 21-32.
[10] Aldo C., M. T. Francesco, and O. Roberto, Analysis of electric energy consumption of automatic milking systems in different configurations and operative conditions, J. Dairy Sci., 99(5) 4043–4047.
[11] Jefferson J.W.Dew, Michael W.Jack, JanetStephensonand SaraWalton, Reducing electricity demand peaks on large-scale dairy farms, Sustainable production, and consumption, 25, 248-258.