Smart Solid Waste Management in New Capital City Amaravathi
G. Kalyan Chakravarthi1, D. Satish Chandra2, SS. Asadi3
1G. Kalyan Chakravarthi, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, Vaddeswaram, Guntur (A.P), India.
2D. Satish Chandra, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, Vaddeswaram, Guntur (A.P), India.
3SS. Asadi, Department of Civil Engineering, Vignan’s Foundation for Science, Technology and Research, Deemed to be University, (A.P), India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 17 May 2019 | Manuscript Published on 28 May 2019 | PP: 882-887 | Volume-7 Issue-6C2 April 2019 | Retrieval Number: F11630476C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Expanded epidemic outbreaks and spreading of infections due to inappropriate waste administration in urban areas which are having a drastic and exponential population growth. In current circumstances, the Garbage Collecting Vehicle (GCV) amasses the waste few times in a week. In this way, the issue is over streaming of wastage on the streets. Thus, to beat this restriction, in the present thesis a different scheme on smart waste management using Radio-Frequency identification devices(RFID),Machine to machine(M2M), pneumatic system, Internet of things(IOT), plasma technology are explained in detail and the best method of treating solid waste using smart solid waste management techniques is suggested basing upon the Summary of the data collected from Tullur, Rayapudi, Velagapudi, Nelapadu villages respectively, Where one of these new systems is implemented. After gathering the questionnaire, which is prepared basing upon the Quantitative survey, the results were analyzed using mathematical methods and confirm the advanced techniques in SWM Is better than traditional or conventional methods.
Keywords: Solid Waste Management (SWM), Machine to Machine (M2M), Internet of Things (IoT), Radio Frequency Identification Techniques (RFID), Pneumatic System, Plasma Technology, Smart Solid Waste Management (SSWM).
Scope of the Article: Simulation Optimization and Risk Management