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A Smart Embedded System Model for the AC Automation with Temperature Prediction

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Advances in Computing and Data Sciences (ICACDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1046))

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Abstract

A model of an automated temperature prediction on smart AC system for a room has been designed, developed and implemented with an embedded system. In a room, temperature of object (like human being) with the environment is detected, identified and analyzed, with an ideal temperature. Based on data, a mathematical formula can be derived and an algorithm has been formed by using the mathematical formula of the predicted temperature data and the values of the two sensors, where sensors are used for object temperature detection and the AC perform automatically turned on or turned off. Python programming language with its default library has been used to code for the successful implementation of the algorithm. This proposed embedded system can be implemented in any smart AC room where anyone can utilize the AC system automatically switched on/off with the predicted temperature. Exploit this embedded system in all over the places including for disabled peoples, personal room, conference room, hall room, classroom and transports, where manually control of Air conditioner is not feasible.

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Author information

Authors and Affiliations

  1. Department of Multimedia and Creative Technology, Daffodil International University, Dhaka, Bangladesh

    F. M. Javed Mehedi Shamrat & Shaikh Muhammad Allayear

  2. Department of Business Administration, Daffodil International University, Dhaka, Bangladesh

    Md. Farhad Alam

  3. Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh

    Md. Ismail Jabiullah

  4. Department of Software Engineering, Daffodil International University, Dhaka, Bangladesh

    Razu Ahmed

Authors
  1. F. M. Javed Mehedi Shamrat
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  2. Shaikh Muhammad Allayear
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  3. Md. Farhad Alam
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  4. Md. Ismail Jabiullah
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  5. Razu Ahmed
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Corresponding authors

Correspondence to F. M. Javed Mehedi Shamrat , Shaikh Muhammad Allayear , Md. Farhad Alam , Md. Ismail Jabiullah or Razu Ahmed .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Computer Science and Engineering, Jaypee Institute of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. ÚTIA AV ČR, Institute of Information Theory and Automation, Prague 8, Praha, Czech Republic

    Jan Flusser

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. CSE Department, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India

    Rekha Kashyap

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Cite this paper

Javed Mehedi Shamrat, F.M., Allayear, S.M., Alam, M.F., Jabiullah, M.I., Ahmed, R. (2019). A Smart Embedded System Model for the AC Automation with Temperature Prediction. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-13-9942-8_33

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  • DOI: https://doi.org/10.1007/978-981-13-9942-8_33

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9941-1

  • Online ISBN: 978-981-13-9942-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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