Design and Construction of Fire Detection Equipment on Electrical Panels Automatically Using IOT
DOI:
https://doi.org/10.71225/jstn.v1i1.42Keywords:
Electrical panel, NodeMCU ESP8266, Real time database, DHT11, MQ-2Abstract
Fires in electrical panels are a common problem experienced when electrical shorts occur. This research was carried out to identify and overcome the electrical panel fire problem. Therefore, the researchers automatically made a fire detection device on electrical panels based on the Internet of Things. This study uses NodeMCU ESP8266 Wifi Module as a microcontroller and DHT11 and MQ-2 as sensors. When a fire is demonstrated, or there is smoke and gas to detect a fire hazard on the electrical panel. In this fire detection device, a test of the DHT11 and MQ-2 sensors is carried out, which will turn on the fire alarm system in the form of a buzzer through the NodeMCU ESP8266 microcontroller command, and the results of the test of the tool will be displayed in a real-time database on the firebase. Testing the fire detection device on the electrical panel automatically uses a match tool and sensor readings to read the presence of a fire in the electrical panel. This measurement difference raises the value of the percentage error in the measurement tool.
References
Basino, et al. (2022). Design and Construction of an Electrical Panel Fire Detector Based on an Atmega 328 Microcontroller on a Fishing Vessel. Journal of Nonformal Education Science, Vol. 08.
Beetrona. (2020). Understanding ESP8266 Complete Wifi Module. Available: https://beetrona.com/pengertian-esp8266-modul-wifi-complete/. Accessed on June 28 2022 at 10.00 WIB.
Internal Coding. (2020). What is Firebase? Definition, Types and Functions. Available: https://www.dicoding.com/blog/apa-itu-firebase-pengertian-jen-jen-dan-function-kegunaannya/. Accessed on 01 July 2022 at 09.30 WIB
Rachman, N. F., Sunardi, S., Aghastya, A., Wirawan, W. A., & Putri, N. D. O. (2023, May). Simulation of early warning system in landslides and flooding with IoT. In AIP Conference Proceedings (Vol. 2592, No. 1). AIP Publishing.
Faiz, Azhari M. (2019). Design of LPG Gas Leak Detection and Control Tools Using IoT-Based MQ 2 Sensors. Faculty of Engineering, University of North Sumatra Medan.
Firlianto, Eko and Dini Anjelina. 2021. IoT-Based Sensor Data Monitoring and Building Control System for Fire Hazards. Bangka Belitung State Manufacturing Polytechnic.
Mambang. (2021). Textbook Of Internet Communications Technology (Internet of Things). Banyumas: CV. Persada Pen.
Sunardi, S., Arifianto, T., Hartisa, A. L., Darmawan, A., & Wirawan, W. A. (2020). Perancangan Sistem Peringatan Longsor dan Deteksi Pergeseran Tanah Menggunakan Metode Telemetri. Jurnal Penelitian Transportasi Darat, 22(2), 123-130.
Marselinus, M. (2016). Fire Alarm System Using Infrared and Temperature Sensors based on Arduino Uno. Department of Physics, Faculty of Science and Engineering, Nusa Cendana University.
Mulyati, Sri and Sumardi. (2018). Internet of Things (IoT) on Gas Leak Detector Prototype Based on MQ-2 and SIM800L. Engineering Journal: Muhammadiyah University of Tangerang, Vol. 7, no. 2.
Sadewo, D. N., & Wirawan, W. A. (2023, March). Maximum Power Tracking Photovoltaic Polycristalin and Monocrystalline Optimized with Algorithm Dual Axis Solar Tracking Using Four LDR Comparator Sensor. In International Conference on Railway and Transportation (ICORT 2022) (pp. 285-293). Atlantis Press.
Sasmoko, Dani. (2021). Arduino and Sensors in DIY Arduino Projects. Semarang: Prima Agus Teknik Foundation.
Sugiyono. (2019). Quantitative, Qualitative, and R&D Research Methods. Bandung: Alphabet.
Sukmadinata, Nana Syaodih. (2009). Educational Research Methods. Bandung: Rosdakarya Youth.
