Automatic Monitoring and Controlling System for Waste Management Using IOT

Authors

  • Hema P  Department of Electrical Engineering, Jai Shriram Engineering College, TirupurJai Shriram Engineering College, Tirupur, Tamil Nadu, India
  • Nirmala Devi P  Department of Electrical Engineering, Jai Shriram Engineering College, TirupurJai Shriram Engineering College, Tirupur, Tamil Nadu, India
  • Raahul D  Department of Electrical Engineering, Jai Shriram Engineering College, TirupurJai Shriram Engineering College, Tirupur, Tamil Nadu, India
  • Saran P  Department of Electrical Engineering, Jai Shriram Engineering College, TirupurJai Shriram Engineering College, Tirupur, Tamil Nadu, India
  • Vignesh S  Department of Electrical Engineering, Jai Shriram Engineering College, TirupurJai Shriram Engineering College, Tirupur, Tamil Nadu, India

Keywords:

IoT, Waste management, Sensor

Abstract

The major problems affecting solid waste management are unscientific treatment, improper collection of wastes and ethical problems. This is in turn leads to hazards like environmental degradation, water pollution, soil pollution, and air pollution. Annually the country is generating solid waste of around 100MT (Million Tons). The problems of waste generation and management has become a serious issue of concern to many scholars in environmental studies. This paper critically examine the attitude of urban dwellers to waste disposal and management. One hundred and fifty copies of questionnaire were administered to residents in the area. Information such as the various classes of waste, frequency of waste disposal and methods of waste evacuation were obtained from the questionnaire. Finding revealed that family size has a great influence on waste disposal and generation which was evidence in the hypothesis with a calculated value of 7.32 greater than the critical value of 2.43 at 0.05 level of significance. Besides, environmental enlightenment has changed people’s attitude towards waste generation and management in the area. This was affirmed in the calculated f-value of 3.18 greater than critical t-value of 1.97 at 0.05 level of significance. However, this result indicate that effective environmental enlightenment would help avert the attitude of urban dwellers to waste disposal and management in the area. So, to avoid this we can implement “Automatic Monitoring and controlling system for Waste Management using IOT”. Disposing the Waste like wet, dry or biodegradable and non-biodegradable which are getting dumped together are being the big deal in India right now. There were large amount of plastics and other wastes were produced every year which are not currently carried out in any recycling plants. In order to provide solution for these wastes we have done a project "IOT based smart waste management system". This will endure the greenish environment and support the swatch bharat for cleanliness.

References

  1. Yiyang Wang “Stable Adaptive Fuzzy Control of Wastewater Treatment Plants,” Thesis by UNIVERSITY OF CALGARY, ALBERTA, April 2015.
  2. Xianjun Du, Junlu Wang, VeeriahJegatheesan and Guohua Shi “Dissolved Oxygen Control in Activated Sludge Process Using a Neural Network-Based Adaptive PID Algorithm,” Applied Sciences, China, 2018, 8, 26.
  3. Xiaohu Dai, Chongliang Hu, Dong Zhang and Yinguang Chen “A new method for the simultaneous enhancement of methane yield and reduction of hydrogen sulfide production in the anaerobic digestion of waste activated sludge,” Bio resource Technology, China, 243 (2017) 914–921.
  4. Do Van Manh, Truong ThiHoa, Nguyen Viet Thoan, Do Tuan Anh, Nguyen Tuan Minh and Le Minh Tuan “Combination of Moving bed Bio filter and activated sludge process to remove organic loading from seafood wastewater,” Vietnam Journal of Science and Technology
  5. Deborah Panepinto, Silvia Fiore, MariantoniaZappone, Giuseppe GenonandLorenzaMeucci “Evaluation of the energy efficiency of a large wastewater treatment plant in Italy,” Applied Energy, Italy 161 (2016) 404–411.
  6. Bo Ying-Chun and Zhang Xi “Online adaptive dynamic programming based on echo state networks for dissolved oxygen control,” Applied Soft Computing, China 62 (2018) 830–839.
  7. Félix Hernández-del-Olmo, Elena Gaudioso, Raquel Dormido and NatividadDuro “Energy and Environmental Efficiency for the NAmmonia Removal Process in Wastewater Treatment Plants by Means of Reinforcement Learning,” Energies, Spain 2016, 9, 755.
  8. Nithin, B., Bhaskaran, S., Ullas, S.” Advanced metering infrastructure (AMI) with combination of peak load management system (PLMS) and theft protection”, Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016.
  9. Raghavan, N., Ullas, S, “Infant movement detection and constant monitoring using wireless sensors “, Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017
  10. Vishwas, H.N., Ullas, S, “Power efficient automated lights results to security for underground parking space”, Proceedings of the International Conference on Inventive Computing and sInformatics, ICICI 2017.
  11. Ananth S Kodavasal, “The STP Guide”, by Karnataka State Pollution Control Board.

International Journal of Scientific Research in Science and Technology

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Published

2021-04-10

Issue

Volume 9, Issue 1, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Hema P, Nirmala Devi P, Raahul D, Saran P, Vignesh S, " Automatic Monitoring and Controlling System for Waste Management Using IOT, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.1149-1153, March-April-2021.