Application of Sensors Using IoT for Waste Management System
01 Jan 2020-pp 1565-1575
TL;DR: This project’s integration with ThingSpeak is finished whenever a plot is formed for time against the amount of garbage, and also the shortest path between the bins also will be noted for victimization of the maps and can be notified.
Abstract: IoT, the technology dealing with detectors and actuators, associates in nursing instance of a lot of general categories of cyberphysical systems, which additionally bounds the technologies like smart grids, intelligent transportation, smart homes, and smart cities. It is discovered that the garbage is being collected at irregular intervals of time due to the lack of updated info regarding the amount of the bin. The garbage bins are going to be monitored by the system which later informs regarding the amount of garbage collected in the garbage bins through an Internet page. So, for this purpose the system makes use of ultrasonic sensors present over the garbage/dustbins to notice the level of the garbage and later compares it with the garbage bins’ depth. GSM module is employed to communicate the knowledge, that is, during this case the amount of garbage to the mobile whenever most of the program is dead and passes onto the Arduino to perform the various materials hooked up to that via the breadboard through the connecting wires. Additionally, for the knowledge to be accessible from anyplace, this project’s integration with ThingSpeak is finished whenever a plot is formed for time against the amount of garbage, and also the shortest path between the bins also will be noted for victimization of the maps and can be notified.
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TL;DR: A comprehensive overview of the existing research in the field of systems, applications, and approaches vis-à-vis the collection and processing of solid waste in SWM systems is provided and recommendations for the implementation of city-level and SGB-levelSWM systems are developed.
Abstract: With urbanization, rising income and consumption, the production of waste increases. One of the most important directions in the field of sustainable development is the design and implementation of monitoring and management systems for waste collection and removal. Smart waste management (SWM) involves for example collection and analytics of data from sensors on smart garbage bins (SGBs), management of waste trucks and urban infrastructure; planning and optimization of waste truck routes; etc. The purpose of this paper is to provide a comprehensive overview of the existing research in the field of systems, applications, and approaches vis-à-vis the collection and processing of solid waste in SWM systems. To achieve this objective, we performed a systematic literature review. This study consists of 173 primary studies selected for analysis and data extraction from the 3,732 initially retrieved studies from 5 databases. We 1) identified the main approaches and services that are applied in the city and SGB-level SWM systems, 2) listed sensors and actuators and analyzed their application in various types of SWM systems, 3) listed the direct and indirect stakeholders of the SWM systems, 4) identified the types of data shared between the SWM systems and stakeholders, and 5) identified the main promising directions and research gaps in the field of SWM systems. Based on an analysis of the existing approaches, technologies, and services, we developed recommendations for the implementation of city-level and SGB-level SWM systems.
11 citations
References
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TL;DR: An IoT-based smart garbage system (SGS) is proposed to reduce the amount of food waste and increases the battery lifetime through two types of energy-efficient operations of the SGBs: stand-alone operation and cooperation-based operation.
Abstract: Owing to a paradigm shift toward Internet of Things (IoT), researches into IoT services have been conducted in a wide range of fields. As a major application field of IoT, waste management has become one such issue. The absence of efficient waste management has caused serious environmental problems and cost issues. Therefore, in this paper, an IoT-based smart garbage system (SGS) is proposed to reduce the amount of food waste. In an SGS, battery-based smart garbage bins (SGBs) exchange information with each other using wireless mesh networks, and a router and server collect and analyze the information for service provisioning. Furthermore, the SGS includes various IoT techniques considering user convenience and increases the battery lifetime through two types of energy-efficient operations of the SGBs: stand-alone operation and cooperation-based operation. The proposed SGS had been operated as a pilot project in Gangnam district, Seoul, Republic of Korea, for a one-year period. The experiment showed that the average amount of food waste could be reduced by 33%.
185 citations
Journal Article•
TL;DR: A framework which will have fundamental sensor like IR sensor to identify the measure of junk canister filled and discharge flag to the line following bot to gather the effectively isolated fluid and strong waste to make the encompassing a cleaner put.
Abstract: Squander administration is turning into a hotly debated issue in strategy urban communities. Municipal governments, which are to a great extent in charge of building and keeping up squander transfer systems, are quick to discover methods for limiting the cost of discarding waste and the sheer measure of waste society produces. Sadly, market and corporatist methodologies don't think about waste administration, rather leaving waste administration to nearby experts, and without government compulsion will as a rule not worry about condition benevolent item configuration, squander minimization or the reuse, re-assembling or reusing of the item toward the finish of its life cycle. We propose a framework which will have fundamental sensor like IR sensor to identify the measure of junk canister filled and discharge flag to the line following bot to gather the effectively isolated fluid and strong waste. The isolated waste will be simpler to dispose. Standard gathering of waste will make the encompassing a cleaner put.
88 citations
TL;DR: In the proposed system, public dustbins will be provided with embedded device which helps in real time monitoring of level of garbage in garbage bins, and the analysis of ceaseless data gathered will help municipality and government authorities to improve plans related to smart waste management.
Abstract: With rapid increase in population, the issues related to sanitation with respect to garbage management are degrading immensely. It creates unhygienic conditions for the citizens in the nearby surrounding, leading to the spread of infectious diseases and illness. To avoid this problem, IoT based “Smart Waste Management” is the best and trending solution. In the proposed system, public dustbins will be provided with embedded device which helps in real time monitoring of level of garbage in garbage bins. The data regarding the garbage levels will be used to provide optimized route for garbage collecting vans, which will reduce cost associated with fuel. The load sensors will increase efficiency of data related to garbage level and moisture sensors will be used to provide data of waste segregation in a dust bin. The analysis of ceaseless data gathered will help municipality and government authorities to improve plans related to smart waste management with the help of various system generated reports.
46 citations
15 Jan 2017-International journal on innovative research in electrical, electronics, instrumentation and control engineering
TL;DR: This project IoT Garbage Monitoring system is a very innovative system which will help to keep the cities clean and monitors the garbage bins and informs about the level of garbage collected in the garbage bin via a web page.
Abstract: The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. One of the main concerns with our environment has been solid waste management which in addition to disturbing the balance of the environment also has adverse effects on the health of the society. The detection, monitoring and management of wastes is one of the primary problems of the present era. The traditional way of manually monitoring the wastes in waste bins is a complex, cumbersome process and utilizes more human effort, time and cost which is not compatible with the present day technologies in any way. This an advanced method in which waste management is automated. This project IoT Garbage Monitoring system is a very innovative system which will help to keep the cities clean. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins via a web page. This web page also send all information to garbage collection vehicles.
46 citations
04 Nov 2014
TL;DR: The main findings of the experiments are that GSP data provides substantial benefits for short journeys, while it does not seem to provide enough insight to improve long journeys and new routing algorithms are provided and evaluated to improve the reliability of public transport journey planners.
Abstract: Current public transport journey planners are mostly based on timetables, i.e., their planning assumes implicitly that all transit vehicles run on schedule. Unfortunately, this is not always the case, as unpredictable delays may occur frequently and for many unplanned reasons. In this scenario, deviations from the original schedule may have quite a negative impact on the quality of the journeys provided by timetable-based planners, as they increase the probability of missed connections and thus result in longer and unpredicted waiting times for the passengers. In this paper, we try to find effective solutions for mitigating this problem and evaluate them empirically on the metropolitan public transportation network of Rome (Italy), where delays are frequent. We first try to assess whether the availability of dynamic information on the geo-location of transit vehicles (via GPS data) may help to improve the quality of the journeys offered by a planner. The main findings of our experiments are that GSP data provides substantial benefits for short journeys, while it does not seem to provide enough insight to improve long journeys. In particular, even with the use of GPS data, a journey planner can still be rather unreliable for long journeys, as there can be large fluctuations between the times predicted by the planner and the actual travel times incurred by passengers. As a second contribution of our work, we provide and evaluate experimentally new routing algorithms to improve the reliability of public transport journey planners.
9 citations