WoT Based Contamination Monitoring System

Abstract

Modernization and industrial development are disrupting the contamination 's equilibrium by releasing untreated harmful toxic elements into the atmosphere, resulting in contamination of basic ecosystem elements such as water, air, and soil, which are necessary for humans to survive. The four major types of contamination caused by industries are air contamination, water contamination, and noise contamination. This causes infections to spread through the air and water, affecting both humans and animals. As a result, controlling these pollutant characteristics is a major undertaking. The major goal of this project is to design an efficient and cost-effective industrial air, water, and sound contamination monitoring system, and the main objective of this paper is to provide an WoT-based industrial air, water, and sound contamination monitoring system. comprehensive mechanism to track the variables that are causing the problem of contamination. This project's/working system's technique is to read and track pollutant indicators, as well as to inform when any of these substances are released, contamination control authorities are notified. Contamination levels are above industrial requirements. The system looks into PH levels in industrial effluents, CO levels, and other factors.CO2, combustible gases, air humidity, and temperature During the manufacturing process, minute optical dust particles are released. as well as the sound level produced by the industry, employing PH sensor, MQ6, MQ9, temperature sensor, and other sensors Humidity, and noise sensors are all included. This system is based on the Internet of Things (WoT), which is a rapidly growing technology that combines electronics and computer science. The Internet of Things (WoT) concept allows us to obtain data from faraway locations and preserve it in a database without having to physically be present in that region.

Authors and Affiliations

M. Sivudu, N. Murali Krishna, and G. Nagarjuna

Keywords

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  • EP ID EP746010
  • DOI 10.55524/ijircst.2022.10.6.10
  • Views 3
  • Downloads 0

How To Cite

M. Sivudu, N. Murali Krishna, and G. Nagarjuna (2022). WoT Based Contamination Monitoring System. International Journal of Innovative Research in Computer Science and Technology, 10(6), -. https://europub.co.uk/articles/-A-746010