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Remote Supervision and Control of Air Conditioning Systems in Different Modes

  • Mohammed Rafeeq
  • Asif AfzalEmail author
  • Sree Rajendra
Original Contribution

Abstract

In the era of automation, most of the application of engineering and science are interrelated with system for optimal operation. To get the efficient result of an operation and desired response, interconnected systems should be controlled by directing, regulating and commanding. Here, air conditioning (AC) system is considered for experimentation, to supervise and control its functioning in both, automated and manual mode. This paper reports the work intended to design and develop an automated and manual AC system working in remote and local mode, to increase the level of comfort, easy operation, reducing human intervention and faults occurring in the system. The Programmable Logical Controller (PLC) and Supervisory Control and Data Acquisition (SCADA) system were used for remote supervision and monitoring of AC systems using series ninety protocol and remote terminal unit modbus protocol as communication module to operate in remote mode. PLC was used as remote terminal for continuous supervision and control of AC system. SCADA software was used as a tool for designing user friendly graphical user interface. The proposed SCADA AC system successfully monitors and controls in accordance within the parameter limits like temperature, pressure, humidity and voltage. With all the features, this designed system is capable of efficient handling of the resources like the compressor, humidifier etc., with all the levels of safety and durability. This system also maintains the temperature and controls the humidity of the remote location and also looks after the health of the compressor.

Keywords

Remote supervision Remote controlling AC system PLC SCADA 

References

  1. 1.
    M.P. Groover, Automation, Production Systems, and Computer-integrated Manufacturing (Prentice Hall Press, Upper Saddle River, 2007)Google Scholar
  2. 2.
    J.D. Lee, K.A. See, Trust in automation: designing for appropriate reliance. Hum. Factors J. Hum. Factors Ergon. Soc. 46(1), 50–80 (2004)CrossRefGoogle Scholar
  3. 3.
    T.B. Sheridan, Humans and automation: system design and research issues (Wiley, New York, 2002)Google Scholar
  4. 4.
    K. Koutsoumanis, P. Taoukis, G. Nychas, Development of a safety monitoring and assurance system for chilled food products. Int. J. Food Microbiol. 100(1), 253–260 (2005)CrossRefGoogle Scholar
  5. 5.
    J. Krüger, T.K. Lien, A. Verl, Cooperation of human and machines in assembly lines. CIRP Ann. Manufact. Technol. 58(2), 628–646 (2009)CrossRefGoogle Scholar
  6. 6.
    L.A. Bygrave, Automated profiling: minding the machine: article 15 of the ec data protection directive and automated profiling. Comput. Law Sec. Rev. 17(1), 17–24 (2001)CrossRefGoogle Scholar
  7. 7.
    A.K. Jardine, D. Lin, D. Banjevic, A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech. Syst. Signal Process. 20(7), 1483–1510 (2006)CrossRefGoogle Scholar
  8. 8.
    C.S. Byington, P.W. Kalgren, B.K. Dunkin, B.P. Donovan, Advanced diagnostic/prognostic reasoning and evidence transformation techniques for improved avionics maintenance, in Proceedings of the 2004 IEEE Aerospace Conference, vol 5. (IEEE, 2004)Google Scholar
  9. 9.
    K.C. Lee, H.-H. Lee, Network-based fire-detection system via controller area network for smart home automation. IEEE Trans. Consum. Electron. 50(4), 1093–1100 (2004)CrossRefGoogle Scholar
  10. 10.
    S.M. Namburu, M.S. Azam, J. Luo, K. Choi, K.R. Pattipati, Data-driven modeling, fault diagnosis and optimal sensor selection for hvac chillers. IEEE Trans. Autom. Sci. Eng. 4(3), 469–473 (2007)CrossRefGoogle Scholar
  11. 11.
    T. Salsbury, R. Diamond, Fault detection in hvac systems using model-based feedforward control. Energy Build. 33(4), 403–415 (2001)CrossRefGoogle Scholar
  12. 12.
    Y. Huang, A. Khajepour, F. Bagheri, M. Bahrami, Optimal energy-efficient predictive controllers in automotive airconditioning/refrigeration systems. Appl. Energy 184, 605–618 (2016)CrossRefGoogle Scholar
  13. 13.
    T.I. Salsbury, A survey of control technologies in the building automation industry, in 16th IFAC World Congress, vol. 16 (Citeseer, 2005), p. 1396Google Scholar
  14. 14.
    H. Yanjun, A. Khajepour, H. Ding, F. Bagheri, M. Bahrami, An energy-saving set-point optimizer with a sliding mode controller for automotive air-conditioning/refrigeration systems. Appl. Energy 188, 576–585 (2017)CrossRefGoogle Scholar
  15. 15.
    G. Campion, G. Bastin, B. Dandrea-Novel, Structural properties and classification of kinematic and dynamic models of wheeled mobile robots. IEEE Trans. Rob. Autom. 12(1), 47–62 (1996)CrossRefGoogle Scholar
  16. 16.
    S.V. Girish, R. Prakash, A.B. Ganesh, Real-time remote monitoring of indoor air quality using internet of things (iot) and gsm connectivity, In: S. Dash, M. Bhaskar, B. Panigrahi, S. Das (eds) Artificial intelligence and evolutionary computations in engineering systems, vol 394 (Springer, New Delhi, 2016), pp. 527–533Google Scholar
  17. 17.
    D. Egan, The emergence of zigbee in building automation and industrial control. Comput. Control Eng. J. 16(2), 14–19 (2005)CrossRefGoogle Scholar
  18. 18.
    W.J. Hutzel, A remotely accessed hvac laboratory for distance education. Int. J. Eng. Educ. 18(6), 711–716 (2002)Google Scholar
  19. 19.
    P.I.-H. Lin, H.L. Broberg, Internet-based monitoring and controls for hvac applications. IEEE Ind. Appl. Mag. 8(1), 49–54 (2002)CrossRefGoogle Scholar
  20. 20.
    C.A. Balaras, E. Dascalaki, A. Gaglia, HVAC and indoor thermal conditions in hospital operating rooms. Energy Build. 39(4), 454–470 (2007)CrossRefGoogle Scholar
  21. 21.
  22. 22.
    H. Zhang, E. Arens, W. Pasut, Air temperature thresholds for indoor comfort and perceived air quality. Build. Res. Inf. 39(2), 134–144 (2011)CrossRefGoogle Scholar
  23. 23.
    K.S. Wolkoff, The dichotomy of relative humidity on indoor air quality. Environ. Int. 33(6), 850–857 (2007)CrossRefGoogle Scholar

Copyright information

© The Institution of Engineers (India) 2018

Authors and Affiliations

  1. 1.Department of Electronics and CommunicationP. A. College of Engineering (Affiliated to Visvesvaraya Technological University)Mangalore, Karnataka 574153India
  2. 2.Department of Mechanical EngineeringP. A. College of Engineering (Affiliated to Visvesvaraya Technological University)Mangalore, Karnataka 574153India
  3. 3.Department of Mechanical EngineeringMalnad College of EngineeringHassan, Karnataka 573201India

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