Journal: Journal of Computer Science and Engineering Research (JCSER), Volume:1, Issue:1, Pages: 31-37 Download pdf
Authors: Aseel Habeeb Gatea , Alaa Al-Ibadi , Musaab Alaziz
Date: 12-2024
Abstract: A smart office system based on the ESP32 microcontroller provides an innovative approach to enhancing workplace security, comfort, and operational efficiency. With its efficient processing power, low energy usage, and integrated Wi-Fi and Bluetooth capabilities, the ESP32 serves as the central controller, automating key office functions. This system seamlessly integrates IoT devices—such as occupancy sensors, smart lighting, climate control, and access management—all controlled remotely through a centralized platform. By optimizing energy use and adapting to employee needs, it promotes a flexible and productive work environment. Its scalability allows for implementation in both small offices and large corporate spaces. Leveraging the ESP32’s features, the system enables real-time monitoring and efficient device communication, transforming traditional offices into affordable, energy-efficient, and adaptive smart spaces.
Keywords: Smart office, ESP32, Internet of Things, FID
References:
[1] Yan, K., Zhou, X., & Yang, B. (2023). Editorial: AI and IoT applicatins of smart buildings and smart environment design, construction and maintenance. Building and Environment, 229, 109968. https://doi.org/10.1016/j.buildenv.2022.109968.
[2] Ma, C., Lee, C. K. M., Du, J., Li, Q., & Gravina, R. (2022). Work Engagement Recognition in Smart Office. Procedia Computer Science, 200, 451–460. https://doi.org/10.1016/j.procs.2022.01.243
[3] Prasad, R., Pravalika, V., & Rajendra Prasad, C. (2019). Internet of Things Based Home Monitoring and Device Control Using Esp32. International Journal of Recent Technology and Engineering (IJRTE), 58. https://www.researchgate.net/publication/334226986
[4] Ghosh, A., Chakraborty, A., Chakraborty, D., Saha, M., & Saha, S. (2019). UltraSense: A non-intrusive approach for human activity identification using heterogeneous ultrasonic sensor grid for smart home environment. Journal of Ambient Intelligence and Humanized Computing, 14(12), 15809–15830. https://doi.org/10.1007/s12652-019-01260-y
[5] Deng, Z., & Chen, Q. (2020). Development and validation of a smart HVAC control system for multi-occupant offices by using occupants’ physiological signals from wristband. Energy and Buildings, 214, 109872. https://doi.org/10.1016/j.enbuild.2020.109872
[6] Alamin, T. (2024). Smart Office Application With Iot-Based Light Monitoring And Controlling Features. Journal of Engineering, Electrical and Informatics, Vol.4(No.2), 01–17. https://doi.org/10.55606/jeei.v4i2.3033
[7] Sari, R. M., Sabna, E., Wahyuni, R., & Irawan, Y. (2021). Implementation of Open and Close a Housing Gate Portal Using RFID Card. Journal of Robotics and Control (JRC), 2(5). https://doi.org/10.18196/jrc.25108
[8] Aditya, R. I., & Arifudin, R. (2021). Implementation of the FP Growth Algoritm with RFID on the Monitoring System for Building User in a Smart-Building Environtment. In Journal of Advances in Information Systems and Technology (Vol. 3, Issue 2, pp. 32–41). https://journal.unnes.ac.id/sju/index.php/jaist
[9] Alhajri, K., AlGhamdi, M., Alrashidi, M., Balharith, T., & Tabeidi, R. (2021). Smart Office Model Based on Internet of Things. In Advances in intelligent systems and computing (pp. 174–183). https://doi.org/10.1007/978-3-030-76346-6_16
[10] Yu, B., Zhang, B., An, P., Xu, L., Xue, M., & Hu, J. (2019). An Unobtrusive Stress Recognition System for the Smart Office. https://doi.org/10.1109/embc.2019.8856597
[11] Babiuch, M., Foltynek, P., & Smutny, P. (2019). Using the ESP32 Microcontroller for Data Processing. https://doi.org/10.1109/carpathiancc.2019.8765944
[12] Kosasih, B., & Wibowo, T. (2021). Perancangan Dan Implementasi Sistem Smart Office Pada Pt. Dunia Berjaya Abadi Menggunakan Internet Of Things. Conference on Community Engagement Project. https://journal.uib.ac.id/index.php/concept
[13] Aqeel-Ur-Rehman, N., Abbasi, A. Z., & Shaikh, Z. A. (2008). Building a Smart University Using RFID Technology. https://doi.org/10.1109/csse.2008.1528
[14] Noar, N. a. Z. M., & Kamal, M. M. (2017). The development of smart flood monitoring system using ultrasonic sensor with blynk applications. https://doi.org/10.1109/icsima.2017.8312009
[15] Lee, C. T., Chen, L. B., Chu, H. M., & Hsieh, C. J. (2022). Design and Implementation of a Leader-Follower Smart Office Lighting Control System Based on IoT Technology. IEEE Access, 10, 28066–28079. https://doi.org/10.1109/access.2022.3158494
[16] Kumar, A., Dessai, S. S. N., & Yadav, S. (2022). Design and implementation of an automated office environment system using embedded sensors. International Journal of Reconfigurable and Embedded Systems (IJRES), 11(1), 34. https://doi.org/10.11591/ijres.v11.i1.pp34-48
[17] Baykara, M., & Abdullah, S. (2020). Designing a Securable Smart Home Access Control System using RFID Cards. Journal of Network Communications and Emerging Technologies (JNCET), 10(12).
[18] Chu, H. M., Lee, C. T., Chen, L. B., & Lee, Y. Y. (2021). An Expandable Modular Internet of Things (IoT)-Based Temperature Control Power Extender. Electronics, 10(5), 565. https://doi.org/10.3390/electronics10050565
[19] Vales, V. B., Fernández, O. C., Domínguez-Bolaño, T., Escudero, C. J., & García-Naya, J. A. (2022). Fine Time Measurement for the Internet of Things: A Practical Approach Using ESP32. IEEE Internet of Things Journal, 9(19), 18305–18318. https://doi.org/10.1109/jiot.2022.3158701
[20] Wahhab, I. A., Bierk, H., & Aday, L. A. (2019). Humidity and temperature monitoring. International Journal of Engineering & Technology, 7(4), 5174–5177. https://doi.org/10.14419/ijet.v7i4.23225
[21] Shrivastava, A., Prasad, S. J. S., Yeruva, A. R., Mani, P., Nagpal, P., & Chaturvedi, A. (2023). IoT Based RFID Attendance Monitoring System of Students using Arduino ESP8266 & Adafruit.io on Defined Area. Cybernetics & Systems, 1–12. https://doi.org/10.1080/01969722.2023.2166243
[22] Musala, V. R., Krishna, T. R., Ganduri, R., & Roohi, A. (2018). An Effective Energy Management System for Smart Office Cubicles using IoT. Journal of Advanced Research in Dynamical and Control Systems, 338–339.
[23] Rottondi, C., Duchon, M., Koss, D., & Verticale, G. (2015). An Energy Management System for a Smart Office Environment. In IEEE. https://doi.org/10.1109/ISGTEurope.2015.7381229
[24] Khalil, N., Benhaddou, D., Gnawali, O., & Subhlok, J. (2018). Nonintrusive ultrasonic-based occupant identification for energy efficient smart building applications. In Applied Energy. https://doi.org/10.1016/j.apenergy.2018.03.018
[25] Furdík, K., Lukac, G., Sabol, T., & Kostelnik, P. (2013). The Network Architecture Designed for an Adaptable IoT-based Smart Office Solution. International Journal of Computer Networks and Communications Security, 6–6, 216–224. https://www.ijcncs.org
[26] Morales, I., Gonzalez-Landaeta, R., & Simini, F. (2021). Pressure sensors used as bioimpedance plantar electrodes: a feasibility study. https://doi.org/10.1109/memea52024.2021.9478682
[27] Salosin, A., Gamayunova, O., & Mottaeva, A. (2020). The effectiveness of the Smart Office system. Journal of Physics Conference Series, 1614(1), 012028. https://doi.org/10.1088/1742-6596/1614/1/012028
[28] Proceedings of the International Conference on Inventive Communication and Computational Technologies. (2018).
[29] Tavares, C., Silva, J. O. E., Mendes, A., Rebolo, L., De Fátima Domingues, M., Alberto, N., Lima, M., Radwan, A., Da Silva, H. P., & Da Costa Antunes, P. F. (2023). Smart Office Chair for Working Conditions Optimization. IEEE Access, 11, 50497–50509. https://doi.org/10.1109/access.2023.3276429
[30] Adebiyi, M. O., Ogundokun, R. O., Nathus, A. I., & Adeniyi, E. A. (2021). Smart transit payment for university campus transportation using RFID card system. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, 11(5), 4353. https://doi.org/10.11591/ijece.v11i5.pp4353-4360
[31] Batı, A. C., Coşkun, E., Gözüaçık, M., İlhan, G., Şahin, F. A., Uncuoğlu, U., Güngen, M. A., & Telli, A. (2017). IoT Based Smart Office Application for Advanced Indoor Working Environment and Energy Efficiency.
[32] Ahmad, Y. A., Gunawan, T. S., Mansor, H., Hamida, B. A., Hishamudin, A. F., & Arifin, F. (2021). On the Evaluation of DHT22 Temperature Sensor for IoT Application. https://doi.org/10.1109/iccce50029.2021.9467147
[33] Hasan, M. M., & Al-Naima, F. M. (2016). Monitoring and Control the Supply of Fuel in Baghdad using RFID. Iraqi Journal for Electrical and Electronic Engineering, 12(2), 114–122. https://doi.org/10.37917/ijeee.12.2.1
[34] Abdulla, M., & Marhoon, A. (2022). Agriculture based on Internet of Things and Deep Learning. Iraqi Journal for Electrical and Electronic Engineering, 18(2), 1–8. https://doi.org/10.37917/ijeee.18.2.1
[35] Tehseen, M., Javed, H., Mehmood, A., Amin, M., Hussain, I., & Jan, B. (2019). Multi Modal Aptitude Detection System for Smart Office. IEEE Access, 7(January), 24559–24570. https://doi.org/10.1109/ACCESS.2019.2893202
[36] International Journal of Advances in Computer and Electronics Engineering, 2(9), 8-12.Shinde, R. M., Deval, N. D., & Kadam, S. S. (2020). Smart office. 11(6), 1006–1009.
[37] Halim, N. N. H., Awang, A. H., Ahmad, N. N., Jalil, N. N. A., Denan, Z., & Majid, N. H. A. (2021). Towards Green Office: A Systematic Literature Review on Smart Office Interior in Malaysia. Deleted Journal, 11(1). https://doi.org/10.31436/japcm.v11i1.583
[38] Ko, E. J., Kim, A. H., & Kim, S. S. (2021). Toward the understanding of the appropriation of ICT-based Smart-work and its impact on performance in organizations. Technological Forecasting and Social
Change, 171, 120994. https://doi.org/10.1016/j.techfore.2021.120994
[39] Alashhab, Z. R., Anbar, M., Singh, M. M., Leau, Y. B., Al-Sai, Z. A., & Alhayja’a, S. A. (2021). Impact of coronavirus pandemic crisis on technologies and cloud computing applications. Journal of Electronic Science and Technology, 19(1), 100059. https://doi.org/10.1016/j.jnlest.2020.100059
[40] Syawali, R., & Meliala, S. (2023). IoT-Based Three-Phase Induction Motor Monitoring System. Journal of Renewable Energy Electrical and Computer Engineering, 3(1), 12. https://doi.org/10.29103/jreece.v3i1.9811
[41] Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805.
[42] https://www.epa.gov/indoor-air-quality-iaq