Environmental Condition Monitoring System of Textile Industry for Sustainable Development Goal
Saravanakumar G1, Baalachandar C V2, Mohaideen Abdul Kadhar K3
1Saravanakumar G, Department of Instrumentation and Control Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur (Tamil Nadu), India.
2Baalachandar C V, Department of Instrumentation and Control Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur (Tamil Nadu), India.
3Mohaideen Abdul Kadhar K, Department of Electronics and Communication Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi (Tamil Nadu), India.
Manuscript received on 11 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 30 December 2019 | PP: 986-991 | Volume-9 Issue-2S2 December 2019 | Retrieval Number: B11021292S219/2019©BEIESP | DOI: 10.35940/ijitee.B1102.1292S219
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Abstract: One of the alarming threats to mankind and other living organisms is environmental pollution. Worldwide, textile industry is one of the main air and water pollutants. Its environmental effect is critical because it consumes considerable water for processing and discharges major polluted water. If the quality of those discharged water exceeds the prescribed limit set by the authorities, it will cause serious threat to the living organism. This demands the suitable monitoring system even from a remote location. Innovation in technology could serve as the best solution to the above problem. The chemical properties are measured of the textile effluent and an announcement will be made for proactive measures if it exceeds the prescribed limit. The quality parameters of the effluent are continually monitored and information recorded in the cloud by means of different sensors. The parameters such as pH, and dissolved oxygen of the effluent can be measured and surrounding air quality also measured. The information stored can be tracked by the competent authority via the Web page. The threshold value for the cloud information is automated to make an automatic comparison with the detection system and send an alert to the authorities involved.
Keywords: Water Pollution, Air Quality, Sustainable Development Goals, Raspberry Pi, pH Measurement, Turbidity Measure- Ment, Textile Industry, IoT.
Scope of the Article: Environmental Engineering