Adaptive Environmental Monitoring and Alert Network (AEMAN)
Dr. Anitha N1, Abhinav Patil2, Rajkamal Vishwakarma3, Shravana Amaragol4, Yashaswini P5
1Assoc. Prof, Dept. of ECE, Amruta Institute of Engineering and management Sciences, Bangalore, Karnataka, India
2UG Scholar, Dept. of ECE, Amruta Institute of Engineering and management Sciences, Bangalore, Karnataka, India
3UG Scholar, Dept. of ECE, Amruta Institute of Engineering and management Sciences, Bangalore, Karnataka, India
4 UG Scholar, Dept. of ECE, Amruta Institute of Engineering and management Sciences, Bangalore, Karnataka, India
5 UG Scholar, Dept. of ECE, Amruta Institute of Engineering and management Sciences, Bangalore, Karnataka, India
Abstract-This paper presents the design and implementation of an intelligent, multi-functional safety system titled "Smart AQI and Gas Leakage Detection System with IoT-Based Alert and Monitoring Network." The system utilizes an ESP32-S3 microcontroller to integrate real-time environmental monitoring, encompassing gas detection for harmful or combustible gases such as carbon monoxide, methane, ammonia, or liquefied petroleum gas (LPG), and precise Air Quality Index (AQI) calculation [1][2]. A key innovation is the adaptable, dual-mode operational framework (Home Mode and Industry Mode) that allows flexible application and specialized hazardous gas monitoring depending on environmental requirements [3]. For mission-critical response, the device employs Global System for Mobile communications (GSM) technology to deliver immediate phone calls and SMS alerts to three predefined contacts—the owner, the nearest fire station, and the local police station—ensuring rapid, non-internet dependent emergency notification [4]. Furthermore, the system incorporates a novel distributed AQI Network Mesh, utilizing peer-to-peer communication to facilitate large-scale, district- wise environmental mapping [5]. All collected data is managed and visualized via a centralized web portal, significantly enhancing domestic and industrial safety standards and providing a scalable solution for smart city environmental monitoring [6].
Keywords: Internet of Things, Air Quality Index, Gas Leakage Detection, Mesh Networking, ESP32- S3, Safety Automation, Environmental Monitoring, Smart Cities.
