Solid Waste Supervision System based on Heuristic Algorithmic approach and Internet of Things

This research article emphasises on use of algorithmic approach to activate sensors to optimize waste disposal and internet of things technology to notify the trash collectors when it is time to clean the trash cans. Here, a heuristic algorithmic approach will serve as the universal alarm and an SMS will be sent to the cleaners' registered mobile numbers as the local alert. The registered higher officials will receive an SMS alert if cleaners don't finish cleaning by the deadline. The top and bottom of a trashcan are where the ultrasonic sensors will be placed as part of the research goals. Every second, the value of the sensed ultrasonic sensor will be stored in the cloud. If the trash can is full, the lid will automatically close as a local warning. There will be a global alert sent via SMS to the authorised cleaners and higher officials. The research objectives include placing the ultrasonic at top and bottom of a dustbin. The sensed ultrasonic sensor value will store in a cloud at every second. As a local alert the lid of the garbage will be closed automatically if the dustbin is full. Global alert as a SMS will send to the authorized cleaners and higher officials. To know where the trash can is, attach a GPS sensor there. The existing intelligent dustbin is equipped with a voice controller that is used to classify the garbage but is not connected to the internet. In the existing system, an IoT platform was used with the assistance of a computer terminal, an infrared sensor, and continuous monitoring of the root plan to empty the dustbin. The lead of a dustbin is closed and opened by a vibration switch in smart homes. Whether the trash is full or not, the intelligent trash can will only locally but not worldwide transmit an alarm. The smart waste tank will communicate with smart phones by sending local dustbin values but was not stored in the cloud for every second. In this garbage narrow band IoT module was used but not internet. Accordingly the IoT enabled dustbin by placing the ultrasonic sensors, GPS sensor it is capable to know whether the dustbin is full or empty and the status will be indicated as local alert and global alert. The local alert will be the automatic lid closing of a dustbin and the global alert will be a SMS with the location of a dustbin and the status as full

Development Management Through The Use Of The Internet Of Things In Waste With An Emphasis On Smart Cities

With the development of the Internet of Things (IoT), waste management has emerged as a serious issue. Waste management is a day-to-day task in urban areas that requires a large workforce and affects the natural, budgetary, efficiency and social aspects. Lays; There are many methods for optimizing waste management such as using the nearest neighbor search, colony optimization, genetic algorithm and particle swarm optimization methods, however, the results are still very vague and cannot be found in real systems, such as universities Or cities, to be used, IoT-based citizens' waste management applications make urban waste management practices more sustainable, optimizing waste collection routes based on the amount of garbage filled by sensors is one of the most effective applications. Finally, waste recycling management requires deeper cooperation between the public and private sectors; in this article, while examining waste management with the IoT approach, the importance of this issue is examined and, of course, suggestions are made for metropolitan areas

Evaluation of Garbage Management Based on IoT

Smart Waste Monitoring: To track the amount of waste in bins and containers, IOT-enabled garbage management systems use sensors and connected devices. These sensors can communicate real-time data to a centralized monitoring system and can identify the fill level. This data aids in streamlining waste collection routes, cutting back on pointless pickups, and enhancing garbage management effectiveness as a whole. Effective Resource Allocation: By giving precise data on waste generation patterns and trends, IOT-based garbage management systems enable optimal resource allocation. This information can be used by municipal authorities to make well-informed decisions on waste collection schedules, resource deployment, and staffing levels. IOT-based waste management solutions have the potential to make trash management procedures more effective and efficient while also being more affordable. The best garbage collection routes, operational cost reductions, and resource utilization may all be achieved with the aid of research into the best deployment strategies for IOT sensors and devices. Environmental Impact and Sustainability: Research Objective: Clearly identify the research objective, for example, by assessing how well IOT-based garbage management systems gather waste and allocate resources. Data gathering: Compile pertinent information on the methods used for trash generation, collection, and resource use. On-site observations, employee interviews, and database access for waste management operations are all effective ways to accomplish this. Gather information on IOT sensor technologies and their capabilities as well. Taken As alternative for Smart Waste Bins, Waste Level, Sensors, AI Recycling, Robots, E-Waste Kiosks. Taken for Evaluation preference is Reliability, Mobility, Service Continuity, User Convenience., and Energy Efficiency. Smart Waste Bins has performed more when compare to with other Real-Time Monitoring: The Internet of Things (IOT) can be used in waste management to enable real-time monitoring of trash cans or bins can be used to enhance garbage sorting procedures. Smart bins with cameras and sensors can automatically recognize and sort various types of rubbish. These smart bins can identify and categorise rubbish by utilizing IOT technology.  on their material composition or recycling category

IOT INTEGRATED SMART STREET FURNITURE: A CASE STUDY OF UNIVERSITY, INDUSTRY AND LOCAL GOVERNMENT COLLABORATION

This article discusses the design process and pilot program of a suite of IoT-integrated street furniture aimed to improve use and amenity of municipality assets in public open spaces in Sydney, Australia. Networked sensors were embedded in the furniture and linked to a web-based dashboard application enabling a digital twin of the asset to monitor and analyze how and when the furniture was used. The prototype and modifications to existing furniture designs provided additional utility for the local community through lighting, free wi-fi access, power outlets, USB charging, water, a weather station and bench space. Outcomes of the street-furniture installation revealed innovative protocols for design-development teams and asset managers to review product performance and efficiency. This article presents a collaborative government/industry/university project that has been recognized by The World Bank for intelligent neighborhood design practices and by the Planning Institute of Australia for its novel approach to community social infrastructure

Smart Cities: A Case Study in Waste Monitoring and Management

This paper explores the potential of employing sensor enabled solutions to improve on waste monitoring and collection in public trash bins. Through a user-centered design approach, an inexpensive monitoring system developed and tested in pilot study. The system consists of wireless nodes that use ultrasonic sensors to measure the empty space in the bins, a sensor gateway that is based on Long Rage Wide Area Network (LoRaWAN) protocol and cloud-based back/front end for data collection, analysis and visualization. The system was evaluated through a pilot test, where six outdoor trash bins were remotely monitored at a university campus and a number of stakeholders were observed and interviewed. The results show that the existing technologies are mature enough to be able to develop and implement inexpensive add-on sensors to exiting trash bins, and employing such a system can provide the necessary insights to optimize waste collection processes, to avoid overfilled bins, and to improve the experience of the citizens

Role of Modern Technologies and Internet of things in the field of Solid Waste Management

The process of handling solid waste becomes complex and tedious due to the urbanization and industrialization of the most developing and developed countries. These solid waste issues if it is not addressed properly it affects ecosystem and environment. There is a possibility of many health-oriented issues especially during the pandemic period covid-19. Most of the human beings are struggling with respiratory pulmonary diseases, asthma caused by these solid wastes. Most of the governments are also spending huge amount of money for labors, devices and some technologies to tackle these solid waste issues. There is also an opportunity for the government to generate revenue from these solid wastes by properly sorting these waste into recyclable, nonrecyclable and bio-degradable wastes. But when humans are involved in sorting these waste it will cause some diseases and hygienic problems. So,in order to address the above said issues in this work the role of modern technologies, algorithms and some Internet of things (IoT) methods are discussed. Implementing these technologies in the future will save huge amount of money spent by the government for the solid waste management activities

A Smart City Economy Supported by Service Level Agreements: A Conceptual Study into the Waste Management Domain

The full potential of smart cities is not yet realized, and opportunities continue to exist in relation to the business models which govern service provision in cities. In saying this, we make reference to the waste services made available by councils across cities in the United Kingdom (UK). In the UK, smart waste management (SWM) continues to exist as a service trialed across designated cities, and schemes are not yet universally deployed. This therefore exists as a business model which might be improved so that wider roll-out and uptake may be encouraged. In this paper, we present a proposal of how to revise SWM services through integrating the Internet service provider (ISP) into the relationship alongside home and business customers and the city council. The goal of this model is to give customers the opportunity for a more dynamic and flexible service. Furthermore, it will introduce benefits for all parties, in the sense of more satisfied home and business owners, ISPs with a larger customer base and greater profits, and city councils with optimized expenses. We propose that this is achieved using personalized and flexible SLAs. A proof-of-concept model is presented in this paper, through which we demonstrate that the cost to customers can be optimized when they interact with the SWM scheme in the recommended ways