Real-Time Hazard Monitoring: IoT-Driven Fire and Gas Alerts with Blynk

Authors

  • Anagha K.K
  • Mjauhar
  • Hemalatha P
  • Viswanatha V

Keywords:

Blynk, Environmental sensors, Fire detection, Gas detection, IoT (Internet of Things), Real-Time monitoring, Safety systems

Abstract

In the wake of increasing industrial and residential hazards, real-time fire and gas detection systems have become crucial for ensuring safety and minimizing damage. This research explores an IoT-based solution influencing Blynk—a robust IoT platform—to provide timely alerts for fire and gas emergencies. The system integrates various sensors with IoT technology to monitor environmental conditions continuously and send instant notifications. This paper presents an IoT-based fire and gas detection solution utilizing the Blynk platform. The proposed system integrates sensors with a microcontroller to identify gas leaks and fire incidents. These sensors transmit data wirelessly to a central processing unit. Through the Blynk platform, users can access real-time data, receive instant alerts, and respond quickly to emergencies. This approach offers a practical and efficient method to enhance safety measures across various environments, including commercial, residential, and industrial settings. In this study, we propose wireless data collection systems designed to monitor changes in gas behavior and detect gas leaks while aiming to minimize power consumption. The system utilizes flame, gas sensors (MQ2), and smoke sensors to assess environmental conditions and identify harmful gases within a manufacturing plant. The collected data can be accessed online. Our research shows that this approach significantly improves energy efficiency and data accuracy compared to traditional safety device methods.

Published

2024-08-12

How to Cite

Anagha K.K, Mjauhar, Hemalatha P, & Viswanatha V. (2024). Real-Time Hazard Monitoring: IoT-Driven Fire and Gas Alerts with Blynk. Journal of Electronics and Telecommunication System Engineering, 21–28. Retrieved from https://matjournals.net/engineering/index.php/JoETSE/article/view/812