EMERGING INTERNET-OF-THINGS APPROACH IN MONITORING AND AUTOMATION OF INDUSTRIAL ENVIRONMENT

Haider  Al-Kanan; Ali A.  Al-Azza

doi:10.30572/2018/KJE/160428

Authors

Haider Al-Kanan Department of Electrical Engineering, College of Engineering, University of Basrah, Basrah, Iraq
Ali A. Al-Azza Department of Electrical Engineering, College of Engineering, University of Basrah, Basrah, Iraq

DOI:

https://doi.org/10.30572/2018/KJE/160428

Keywords:

Automation, Blynk application, ESP8266, IoT, monitoring system

Abstract

The online monitoring of work environment plays significant role in contemporary industry automation by utilizing internet-of-things (IoT) for different measures, including security, operation efficiency, and proactive response. This article proposes an IoT technique to monitor the environment air temperature, humidity, and the required safety concerns such as fire alert and security access control using video recording. The system hardware consists of DHT22 sensor, smoke detector, and motion sensor which are all integrated using ESP8266 microcontroller and wireless router as access point to internet. The proposed IoT approach is developed using variable scheduler scenario for adjusting the temperature and humidity level of the environment based on particular season of the year. A GUI dashboard is implemented based on Blynk application to display the real-time sensors’ readings and changing the operation status of some IoT devices. The operation and functionality of this IoT application is validated and tested inside a dedicated laboratory to mimic different environment conditions. While maintaining convenience air temperature, the proposed approach achieves 8%-14% improvement in power efficiency of the air-conditioning unit

Downloads

Download data is not yet available.

References

Abdulhadi, H., Aldeen, Y., Yousif, M., et al. (2023) ‘Enhancing Smart Cities with IoT and Cloud Computing: A Study on Integrating Wireless Ad Hoc Networks for Efficient Communication.’ Baghdad Sci. J. ;20(6(Suppl.):2672. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9277.

Ahmed, M., Chavez, S., Eltamaly, A., et al. (2022). ‘Toward an Intelligent Campus: IoT Platform for Remote Monitoring and Control of Smart Buildings. Sensors,’ 22(23), 9045–9045.

Al-Kanan, H., Alzuhairi, A.S. (2024). ‘The Infrastructure Development of Contemporary Medical Devices Based on Internet of Things Technology, Artificial Intelligence: Theory and Applications.’ AITA 2023. Lecture Notes in Networks and Systems, vol 844. Springer, Singapore. https://doi.org/10.1007/978-981-99-8479-4_18.

Almazroi, A. A., Ayub, N. ‘Deep learning hybridization for improved malware detection in smart Internet of Things.’ Sci Rep 14, 7838 (2024). https://doi.org/10.1038/s41598-024-57864-8.

Barznji, A., and Jalal A., ‘WI-MAX NETWORK SIMULATION FOR SALAHADDIN UNIVERSITY NEW CAMPUS.’ Kufa Journal of Engineering, vol. 12, no. 4, Nov. 2021, pp. 1-13, https://doi.org/10.30572/2018/kje/120401.

Chen, T., Chen, S., William, T., Chen, B., ‘Internet of Things: Development Intelligent Programmable IoT Controller for Emerging Industry Applications,’ Sensors, 22, 14, (5138), (2022), https://doi.org/10.3390/s22145138.

Devi, M., and Rahamathulla, V. (2020), ‘Air quality through IoT and big data analytics,’ In book: Advances in Data Science and Management, Springer, pp. 181–187, DOI:10.1007/978-981-15-0978-0_17.

Gupta, L., Johari, R., (2019). ‘IOT based Electrical Device Surveillance and Control System of Internet of Things: Smart Innovation and Usages (IoT-SIU),’ International Conference On IEEE, DOI: 10.1109/IoT-SIU.2019.8777342.

Hasan, A., ‘Application Based Performance Monitoring Heavy Data Transmission of Local Area Network’. Kufa Journal of Engineering, vol. 13, no. 3, July 2022, pp. 14-40, https://doi.org/10.30572/2018/KJE/130302.

Khang, A., Abdullayev, V., Hahanov, V., et al. (2024). ‘Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy’ (1st ed.). CRC Press. https://doi.org/10.1201/9781003434269.

Mu, X., & Antwi-Afari, M. F. (2024). The applications of Internet of Things (IoT) in industrial management: a science mapping review. International Journal of Production Research, 62(5), 1928–1952. https://doi.org/10.1080/00207543.2023.2290229.

Sivalingan, H.. ‘CLOUD-SMART SURVEILLANCE: ENHANCING ANOMALY DETECTION IN VIDEO STREAMS WITH DF-CONVLSTM-BASED VAE-GAN.’ Kufa Journal of Engineering, vol. 15, no. 4, Nov. 2024, pp. 125-40, https://doi.org/10.30572/2018/KJE/150409.

Tamilselvan, S., Deepa, D., Poongodi, C., et al. (2023). ‘Intelligent Home Appliance Energy Monitoring with IoT. In Smart Grids and Internet of Things’ (pp.319–337). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781119812524.ch11.