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@article{170163,
        author = {Prof Appaji.H.Birasal, and Naveenkumar p beleri and Shilpa B jilegar and Suraj R Revankar and Yashodha b gudisagar},
        title = {Iot based on industrial air water noise temperature monitoring system},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3836-3840},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170163},
        abstract = {globalization, and industrialization is negatively affecting the equilibrium of the environment by releasing untreated harmful toxic elements into the atmosphere this resulted in contamination of basic elements of the ecosystem like water, air, and soil which are essential for humans to sustain, the 4 major types of pollution caused by the industries are air pollution, water pollution, soil pollution, and noise pollution. This leads to air and water borne diseases in both humans and animals. Hence the control of these pollution parameters is a great challenge. This paper presents IoT based industrial air, water and sound pollution monitoring system, the main objective of this project is to design an efficient and robust system to monitor the parameters which are causing pollution. The working methodology of this project/system is to read and monitor pollution parameters and inform pollution control authorities when the release of any of these pollutants goes higher than industry standards. The system investigates the level of PH in industrial effluents, level of CO, carbon dioxide, combustible gas, humidity in the air and the minute optical dust particles released during industry process and also the level of sound produced by the industry, using various sensors like PH sensor, MQ6, MQ9, temperature sensor, humidity sensor, noise sensor, and dust density sensor},
        keywords = {CO, MQ6, MQ9, Iot, LM35, LM393, DENSITY SENSOR, CLOUD TECHNOLOGIES},
        month = {December},
        }