Solid Waste Collection as a Service using IoT-Solution for Smart Cities

Chaudhari, Sangita; Bhole, Varsha

doi:10.1109/icscet.2018.8537326

Cited by 56 publications

(17 citation statements)

References 2 publications

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“…In addition to all of these advantages, the application is able to display a map of collection centers for electronic or clothing waste. Sorting waste using the Internet of Things is becoming more and more popular [27].…”

Section: Principles For Digitalization Of Waste Generation and Disposal Monitoring Based On A New Approach To Waste Record-keepingmentioning

confidence: 99%

Expansion of the Fuel and Energy Balance Structure in Russia through the Development of a Closed-Loop Recycling

2021

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The goal of the study is to propose the basis for the concept of expanding the fuel balance in Russia through the development of a closed-loop resource cycle. We propose to use the criterion of energy potential of waste to generate new data on the resource base of the fuel and energy complex at the regional level. In order to form a reliable source for replenishment of the resource potential of the fuel and energy complex through waste recovery, the basic principles of data collection are proposed and the methodology for determining the energy potential at the city level is demonstrated using municipal solid waste (MSW) in 11 Russian cities as an example. The results of the evaluation have shown that due to energy recycling, MSW can cover from 2.11% to 6.01% of the heat demand of the territory under consideration. In the study, we propose to supplement the maximum involvement of waste in the fuel and energy balance (FEB) in Russia with the criterion of optimization of the energy balance at all levels and to distinguish a separate column “energy potential of waste” in the balance structure. This approach fundamentally changes the structure of the balance and gives the grounds for revision of plans for production and transportation of traditional energy resources.

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Section: Principles For Digitalization Of Waste Generation and Disposal Monitoring Based On A New Approach To Waste Record-keepingmentioning

confidence: 99%

Expansion of the Fuel and Energy Balance Structure in Russia through the Development of a Closed-Loop Recycling

2021

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“…Service. An IoT-enabled solid waste management system is proposed in [55] for monitoring garbage bin and dynamic routing of the garbage collectors. e proposed system consists of an embedded device for real- e architecture of the proposed system is presented in Figure 4.…”

Section: Swc As Amentioning

confidence: 99%

AIoT-Based Smart Bin for Real-Time Monitoring and Management of Solid Waste

Bano

Din

Al-Huqail

2020

Scientific Programming

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In the current time, the immense growth in population creates unhygienic environment for the citizen of a society with respect to waste generation. This rapid generation of waste leads to various infectious diseases in the environment. As followed by the traditional municipal system, in our surroundings, we can see over flooding of solid waste in the garbage bins. Solid waste management is a pivotal aspect in traditional systems and it is becoming dangerous in most populated areas. Arduous labor works and costs are required to manage and monitor garbage bins in real time. To maintain the cleanliness of a city and for real-time monitoring of trash bins, a smart bin mechanism (SBM) for smart cities is proposed in this paper, which is based on Artificial Intelligent of Things (AIoT). The SBM works on the 3R concept, that is, Reduce, Recycle, and Reuse. The SBM has the access to get real-time information about each bin and avoid overloading of these bins. The proposed framework reduces the labor cost and saves time and energy of the system. It also reduces the rate of disease infections by keeping the cities clean. Fuzzy logic is used for decision-making in selecting appropriate locations in the cities to install trash bins. The framework is implemented in the multiagent modeling environment, that is, NetLogo.

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“…Idwan et al [48] developed a garbage truck optimal routing algorithm using IoT data and agent-based models. Chaudhari and Bhole [49] described an application using IoT data to monitor real-time garbage bin status and enable collection trucks to find efficient routes. This application is implemented on the Android ® operating system and uses the ThingsSpeak ® platform to visualize the data.…”

Section: Waste Management Web Api Projectmentioning

confidence: 99%

Big Data Analytics in Australian Local Government

Watson¹,

Ryan

2020

Smart Cities

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Australian governments at all three levels—local (council), state, and federal—are beginning to exploit the massive amounts of data they collect through sensors and recording systems. Their aim is to enable Australian communities to benefit from “smart city” initiatives by providing greater efficiencies in their operations and strategic planning. Increasing numbers of datasets are being made freely available to the public. These so-called big data are amenable to data science analysis techniques including machine learning. While there are many cases of data use at the federal and state level, local councils are not taking full advantage of their data for a variety of reasons. This paper reviews the status of open datasets of Australian local governments and reports progress being made in several student and other projects to develop open data web services using machine learning for smart cities.

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Solid Waste Collection as a Service using IoT-Solution for Smart Cities

Cited by 56 publications

References 2 publications

Expansion of the Fuel and Energy Balance Structure in Russia through the Development of a Closed-Loop Recycling

Expansion of the Fuel and Energy Balance Structure in Russia through the Development of a Closed-Loop Recycling

AIoT-Based Smart Bin for Real-Time Monitoring and Management of Solid Waste

Big Data Analytics in Australian Local Government

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