scholarly journals IoT Based Solar Powered Smart Waste Management System with Real Time Monitoring- An Advancement for Smart City Planning

Author(s):  
Md. Humaun Kabir ◽  
Sujit Roy ◽  
Md. Tofail Ahmed ◽  
Mahmudul Alam

In this paper, we proposed an IoT based solar-powered smart waste management system which is suitable for any kind city or town in both developed and developing countries that can ensure proper collection, transportation, and disposal of household and industrial waste with real-time remote monitoring. To maintain the green and clean environment around us, precise collection and disposal of garbage in a regular fashion are necessary. The primary goal of this research work is to provide a complete smart solution for waste collection and disposal hence ensuring a comfortable environment. The proposed system enables real-time remote monitoring of solar-powered several smart bins located in different points in the city which are connected to the control station through long-range (LoRa) communication device and also supervises the waste collector activities like collection and disposal time using Automated Vehicles Locating System (AVLS).

2021 ◽  
Vol 7 (3) ◽  
pp. 94-100
Author(s):  
S. A. Tsutsiev ◽  
O. G. Prigorelov ◽  
S. N. Vasyagin ◽  
P. A. Soshkin

Aim: the authors share their proven experience of participating in the development and scientific support of proposals for improving the medical waste management system.Materials and methods. The study was carried out in the format of research work to substantiate proposals for improving the system of medical waste management in extreme conditions.Results. It was found that the system of medical waste management, which functions stably under the conditions of daily activities in peacetime, in extreme situations fails and creates a risk of spreading infectious diseases among the personnel of medical institutions, the population, as well as environmental pollution. This problem is obvious also for military medical institutions of various power structures. The essence of the proposals is to maximize reduction of the stages of the waste life cycle, which in the applied aspect is implemented by equipping military medical institutions with standard installations for the disposal of any medical waste.Conclusion. The value of the conducted research lies not only in the innovative nature of the proposals made, but also in the fact that they were made long before the events associated with the epidemic of coronavirus infection. The results of this work were neither appreciated at their true worth in a timely manner, nor received wide publicity and, as a result, they have not fully used to carry out preventive measures.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3118
Author(s):  
Robert Sidełko

The subject matter of this paper is the functioning of a highly effective waste management system. Assumptions of the Energy Recovery Waste Processing (ERWP) model, being a universal solution for towns and regions irrespective of their population, are presented here. The result of simulations illustrating the energetic potential of municipal waste stored and processed in biological and physicochemical processes are also presented. Calculations were performed for the municipality of Koszalin (Poland), with a population of 106,000. Mixed household and commercial waste, organic waste, waste from selective collection and sewage sludge from a municipal wastewater treatment plant were considered in the waste mass balance. Empirical equations and unit coefficients describing the energetic efficiency of particular processes originating from the author’s own research work as well as from the results available from the scientific literature were used in the calculations. The developed ERWP model is based on the functioning of four objects constituting a comprehensive technical infrastructure, i.e., biological stabilisation in air condition (BSAC), mechanical treatment plant (MTP), cogeneration system plant (CSP) and gas production plant (GPP) where two independent modules operate, namely, dry/wet methane fermentation (DMF and WMF). Each day, this system generates highly energetic refuse-derived fuel (RDF) for combustion in amounts of 82.2 t for CSP and 127.3 t for GPP, generating 5519 m3 of gas/d. The value of the energy contained in such generated gas and in waste making up an alternative fuel is 1027.4 GJ, which is equivalent to 285.4 MWh. It should be noted that the creation of a waste management system based on the ERWP model assumptions fulfills the criteria of energetic recycling and allows for recovery of energy in the form of gas and heat equivalent to 79,917.6 MWh/a, i.e., 754 kWh/inhabitant/a.


Author(s):  
Sarmad Hameed ◽  
Faizan Ur Rahman ◽  
Muhammad Amir ◽  
Zain Ul Abedin Babrawala ◽  
Moez Ul Hassan

Waste not just nowadays, but since centuries is one of the biggest problems of the world. Many governments and people came and went, many revolutionists, scientists, philanthropists, etc. too tried work on this aspect of life, but 100% output was not witnessed in any case. As time passes by, population around the world increased, hence resulting in large number of waste. Slowly and gradually this number grew so high that ultimately for many, it became problem to manage such enormous amounts, resulting in disastrous outcomes. With the help of modern technology, here in this paper we tried to solve this issue. To at least begin all on our own, we started it with implementing this system in our university, as we know that well begin is half done, soon it started to produce pretty good outputs and issue of mismanagement of waste, at least in our University, was resolved to pretty much extent. This paper focuses on how a self-designed array of Ultrasonic sensors can be used to get best possible results of dustbin’s status based on amount of waste in it. Further how fast will system be synchronizing and giving its current status in a span of few minutes to main server. Further locations of dustbins will also be prescribed in system hence enhancing real-time output effects of surrounding as well, helping in better outputs and analyses.


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