| Autor: |
Vidyadhari Ch., Pavan Pendli, Tharun Mudavath, Kundu Vinayak, Dulta Kanika |
| Jazyk: |
English<br />French |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
E3S Web of Conferences, Vol 430, p 01094 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202343001094 |
| Popis: |
The creation of sophisticated fire detection systems is necessary given the rising danger of fire occurrences. The system described in this abstract uses IoT components such an Arduino board, flame sensor, buzzer, SIM800L module, and SIM800L to detect fires in real time and inform users. The flame sensor is the main element of the system, and it uses infrared radiation to identify flames when they are present. The Arduino board receives the signal from the sensor and activates the alarm system when it detects a flame. A loud audible alarm is produced by the buzzer when it is linked to the Arduino board to alert residents to a potential fire threat. The system includes the SIM800L module to support distant notifications in addition to local alerts. Once a fire has been identified, the Arduino board and SIM800L module connect to send an SMS or place a call to preset emergency contacts. This makes it possible to quickly take the necessary action, even if the affected properties are unattended. The IoT device connection with the Arduino board gives the fire detection system flexibility and scalability making it reliable and sustainable. By adding more sensors or integrating with current home automation systems, it is simple to customize and expand. Real-time fire detection, remote alerting capabilities, and IoT ecosystem integration are just a few of the advantages the suggested fire detection system has over conventional fire alarm systems. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
