IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i18p6778-d916840.html
   My bibliography  Save this article

Design and Implementation of Real-Time Kitchen Monitoring and Automation System Based on Internet of Things

Author

Listed:
  • Ch Anwar Ul Hassan

    (Department of Creative Technologies, Air University, Islamabad 44000, Pakistan)

  • Jawaid Iqbal

    (Department of Software Engineering, Capital University of Science and Technology, Islamabad 44000, Pakistan)

  • Muhammad Sufyan Khan

    (Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan)

  • Saddam Hussain

    (School of Digital Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei)

  • Adnan Akhunzada

    (College of Computing and Information Technology, University of Doha For Science and Technology, Doha 24449, Qatar)

  • Mudabbir Ali

    (Department of Computer Science, Federal Urdu University of Arts, Sciences and Technology, Islamabad 44000, Pakistan)

  • Abdullah Gani

    (Faculty of Computing and Informatics, University Malaysia Sabah, Kota Kinabalu 88400, Malaysia)

  • Mueen Uddin

    (College of Computing and Information Technology, University of Doha For Science and Technology, Doha 24449, Qatar)

  • Syed Sajid Ullah

    (Department of Information and Communication Technology, University of Agder (UiA), N-4898 Grimstad, Norway
    Department of Electrical and Computer Engineering, Villanova University, Villanova, PA 19085, USA)

Abstract

Automation can now be found in nearly every industry. However, home automation has yet to reach Pakistan. This paper presents an Internet of Things smart kitchen project that includes automation and monitoring. In this project, a system was developed that automatically detects the kitchen temperature. It also monitors the humidity level in the kitchen. This system includes built-in gas detection sensors that detect any gas leaks in the kitchen and notify the user if the gas pressure in the kitchen exceeds a certain level. This system also allows the user to remotely control appliances such as freezers, ovens, and air conditioners using a mobile phone. The user can control gas levels using their phone with this system. In this paper, the ESP32, DHT11 Sensor, 5 V Relay X 8, and MQ-135 gas sensors create a smart kitchen by controlling the temperature, managing humidity, and detecting gas leakage. The system was built on an Arduino board that is connected to the Internet. The hardware was integrated and programmed using an Arduino, and a user Android application was developed. The project’s goal is to allow any Android smartphone to remotely control devices. This method is commonly used in homes, businesses, and grocery stores. Users will be able to control all of their instruments from anywhere, including switches, fans, and lights. Furthermore, simulation was performed using Matlab2016b on multiple houses. In the simulation, not only was the kitchen considered, but also two, four, and six houses. Each house has two bedrooms, one living room, one guest room, two bathrooms, and one kitchen. The results revealed that using this system will have a scientifically significant impact on electricity consumption and cost. In the case of the houses, the cost was USD 33.32, 32.64, 22.32, and 19.54 for unscheduled, two, four, and six houses, respectively. Thus, it was observed that the cost and power are directly proportional to each other. The results reveal that the proposed solution efficiently reduces the cost as compared to that of unscheduled houses.

Suggested Citation

  • Ch Anwar Ul Hassan & Jawaid Iqbal & Muhammad Sufyan Khan & Saddam Hussain & Adnan Akhunzada & Mudabbir Ali & Abdullah Gani & Mueen Uddin & Syed Sajid Ullah, 2022. "Design and Implementation of Real-Time Kitchen Monitoring and Automation System Based on Internet of Things," Energies, MDPI, vol. 15(18), pages 1-16, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6778-:d:916840
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/18/6778/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/18/6778/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krzysztof Wójcicki & Marta Biegańska & Beata Paliwoda & Justyna Górna, 2022. "Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review," Energies, MDPI, vol. 15(5), pages 1-24, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. de Jager, Pim & Groen, Daniel & Strik, David P.B.T.B., 2023. "Long-term performance of pilot-scale tubular plant-microbial fuel cells in a brownfield-constructed wetland," Renewable Energy, Elsevier, vol. 219(P2).
    2. Eneko Artetxe & Oscar Barambones & Isidro Calvo & Pablo Fernández-Bustamante & Imanol Martin & Jokin Uralde, 2023. "Wireless Technologies for Industry 4.0 Applications," Energies, MDPI, vol. 16(3), pages 1-13, January.
    3. Mario Pérez-Gomariz & Antonio López-Gómez & Fernando Cerdán-Cartagena, 2023. "Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A Review," Clean Technol., MDPI, vol. 5(1), pages 1-21, January.
    4. Lucia Domaracká & Andrea Seňová & Dominik Kowal, 2023. "Evaluation of Eco-Innovation and Green Economy in EU Countries," Energies, MDPI, vol. 16(2), pages 1-19, January.
    5. Marta Biegańska, 2022. "IoT-Based Decentralized Energy Systems," Energies, MDPI, vol. 15(21), pages 1-20, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6778-:d:916840. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.