An Integrated Ammonia Gas Detection and Monitoring System for Industrial Safety and Environmental Health

DOI

10.2991/978-94-6463-704-5_7How to use a DOI?

Keywords

Ammonia Detection; Industrial Safety; Real-Time; Gas Exposure; Human Health; IOT; Environmental Monitoring

Abstract

Ammonia (NH₃) plays a vital role in various industries, serving as a key raw material for fertilizers, plastics, explosives, and industrial processes like metal treating and cleaning. In the food industry, it is used as a leavening agent, preservative, and pH regulator for baked goods, processed meats, beer, and soft drinks. Its versatile applications make ammonia essential for chemical, industrial, and food production sectors. However, ammonia is a major air pollutant with a pungent odor and poses significant health risks, including skin, eyes, and respiratory tract irritation, burns to moist tissues, and potential long-term effects like reduced lung function and rare neurological conditions. While short-term exposure often results in recoverable injuries, prolonged or high-level exposure can lead to permanent respiratory damage and, in extreme cases, brain-related diseases. This emphasizes the critical need for effective NH₃ monitoring and mitigation measures to safeguard human health and the environment. In response to this challenge, this paper presents a low-cost ammonia gas detection system developed using an MQ-137 sensor, NodeMCU microcontroller, and ThingSpeak IoT platform. The system provides real-time monitoring, alerts, and data visualization, promoting industrial safety and environmental compliance. An automated alert mechanism ensures timely intervention when gas levels surpass hazardous thresholds. Testing under controlled and real-world conditions demonstrated the system’s high precision, fast response, and robust performance. Compared to existing commercial solutions, this system offers superior accessibility and practicality. Future improvements will focus on integrating remote monitoring capabilities and linking the system to broader industrial frameworks, further enhancing its utility in reducing NH₃-related risks.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Pramod Kanjalkar
AU  - Jyoti Kanjalkar
AU  - Dnyaneshwari Ghuge
AU  - Kanishka Ghodake
AU  - Vaishnavi Godase
AU  - Soham Halbe
PY  - 2025
DA  - 2025/04/30
TI  - An Integrated Ammonia Gas Detection and Monitoring System for Industrial Safety and Environmental Health
BT  - Proceedings of the International Conference on Smart Health and Intelligent Technologies (ICSHit-2024)
PB  - Atlantis Press
SP  - 64
EP  - 75
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-704-5_7
DO  - 10.2991/978-94-6463-704-5_7
ID  - Kanjalkar2025
ER  -