Design and Implementation of an Iot-Based Safety and Energy Efficient System

Mohammed Akolgo

Department of Information Systems and Technology, School of Computing and Information Sciences, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

Anthony Akanlougrikum Anari

Department of Information Systems and Technology, School of Computing and Information Sciences, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

Bakaweri Emmanuel Batowise

Department of Cyber Security and Computer Engineering Technology, School of Computing and Information Sciences, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

Peter Awonnatemi Agbedemnab *

Department of Information Systems and Technology, School of Computing and Information Sciences, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.

*Author to whom correspondence should be addressed.


Abstract

The paper provides a safe and power-efficient Internet of Things (IoT)-based solution. With the growing concerns about environmental sustainability and the demand for improved safety measures in today’s society, it has become critical to focus on building systems that decrease energy consumption and assure the safety of humans and the environment. The proposed system employs cutting-edge technologies and novel approaches that will result in optimal energy usage with minimal or no human involvement thereby assuring the safety of people. The proposed system leverages on existing IoT technologies and is comprised of smart sensors, energy-efficient gadgets, and a centralized control unit. Therefore, it is able to demonstrate cutting edge power control strategies including power gating and dynamic central power regulation which control the usage of gadgets to operate at optimal power levels vis-a-vis the real-time demand to achieve energy efficiency. The system is also able to collect data on occupancy, lighting, temperature, and power consumption trends which can assist in making data-driven choices that improve the usage of energy. The proposed system provides large energy savings without sacrificing user comfort by dynamically altering lighting, and cooling systems based on occupants and ambient factors. Multiple simulations and real-world trials in homes and institutions’ buildings were used to assess the efficacy of the suggested system. The findings revealed substantial reductions in energy consumption without jeopardizing safety.

Keywords: Internet of Things (IoT), EspressifSystem32, Light Dependent Resistor (LDR), Light Emitting Diode (LED)


How to Cite

Akolgo, M., Anari, A. A., Batowise, B. E., & Agbedemnab, P. A. (2024). Design and Implementation of an Iot-Based Safety and Energy Efficient System. Asian Journal of Research in Computer Science, 17(6), 178–187. https://doi.org/10.9734/ajrcos/2024/v17i6466

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References

Darabnia B, Demichela M, et al. Maintenance an opportunity for energy saving. Chemical Engineering Transactions. 2013;32:259–264.

Energy Commission of Ghana. A Report: 2021 Energy Outlook for Ghana, Demand and Supply; 2021.

Ahsan M, Based MA, Haider J, Rodrigues EM. Smart monitoring and controlling of appliances using lora based iot system. Designs. 2021;5 (1):17.

Chooruang K, Meekul K. Design of an iot energy monitoring system. In 2018 16th international conference on ict and knowledge engineering (ict&ke). 2018;1–4.

Hret¸canu CE, Crˆas¸m˘areanu M. Applications of the Golden Ratio on Riemannian Manifolds. Turk J Math. 2009;33: 179-191. DOI:10.3906/mat-0711-29

Devadhanishini A, Malasri R, Nandinipriya N, Subashini V, Gowri PP. Smart power monitoring system using iot. In 2019 5th international conference on advanced computing & communication systems (icaccs). 2019;813–816.

Musleh AS, Debouza M, Farook M. Design and implementation of smart plug: An internet of things (iot) approach. In 2017 international conference on electrical and computing technologies and applications (icecta). 2017;1–4.

Luan H, Leng J. Design of energy monitoring system based on iot. In 2016 chinese control and decision conference (ccdc). 2016;6785–6788.

Chupong C, Plangklang B. Electricity bill forecasting application by home energy monitoring system. In 2017 international electrical engineering congress (ieecon). 2017;1–4.

Han J, Choi CS, Park WK, Lee I, Kim SH. Smart home energy management system including renewable energy based on zigbee and plc. IEEE Transactions on Consumer Electronics. 2014;60 (2):198–202.

Govindarajan R, Meikandasivam S, Vijayakumar D. Cloud computing based smart energy monitoring system. International Journal of Scientific and Technology Research. 2019;8 (10):886–890.

Srinivasan A, Baskaran K, Yann G. Iot based smart plug-load energy conservation and management system. In 2019 ieee 2nd international conference on power and energy applications (icpea). 2019;155–158.

Cˆandido CJ, Santos SP. Strategy implementation: What is the failure rate? Journal of Management & Organization. 2015;21 (2):237–262.