"Design and Implementation of IoT Smart Waste Bin for Eastern Hekinstoke Council" is the title of the introduction to a report that talks about how the Internet of Things (IoT) is changing cities, especially with the help of smart technologies like IoT-enabled trash cans. As more people move to cities and the world's population is expected to double by 2050, it's important for smart towns to use digital solutions to handle waste more efficiently. The study is mainly about fixing a problem that was found in a neighbourhood in Eastern Hekinstoke Council that was surveyed by the landlord group of Ruislip and Ezra Estates. People who live there are used to throwing trash away but say they would use trash cans if they were given. The council has asked Oyeme LTD, a digital technology business that focuses on IoT solutions, to create and set up 50 smart trash cans for the public.
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Evaluation
The proposed Eastern Hekinstoke Council IoT Smart Waste Bin is being assessed in several areas as part of the project's learnings. The exam tests computer software, critical thinking, analysis, reasoning, interpretation, collaboration, design thinking, and communication. This assessment examines how effectively the IoT system helps the community handle garbage issues including fires, vandalism, bin emptying, and lid replacement (Alqahtani et al. 2020).
The proposed IoT Smart Waste Bin is a well-planned garbage solution. Adding IoT technology, notably Arduino microcontrollers, to garbage cans will make them more useful. As part of the overall goal to make the world a cleaner and more efficient place to live, the design tries to use digital innovation for better trash management. The situation shows that the council's specific needs were carefully thought through, which shows that the design process was user-centered.
Figure 1: Smart Waste Management using IOT
Good communication is important for the success of any project, and it's especially important at different points of the IoT Smart Waste Bin project. The landlord association and the council's first conversation and their following work together with Oyeme LTD show how important clear and concise communication is for getting the issue and coming up with a good answer. Also, the development team at Oyeme LTD and the council need to talk to each other so that everyone knows what is expected of them, the end product meets the needs that were set, and any problems that might come up during the implementation phase are dealt with (Venu, 2023).
Teamwork is very important for getting the job done well. As a junior Internet of Things worker at Oyeme LTD, it's important to work together with others and make sure that everything runs smoothly with the Eastern Hekinstoke Council. To make sure the planning, development, and implementation steps go smoothly, the team needs to work together. Clear communication within the team encourages working together, which lets people share ideas, solve problems, and eventually help the IoT Smart Waste Bin project succeed.
To deal with the problems the council has listed, we need to think critically. As part of the review, possible problems like theft and fires are looked at closely and plans are made to lower the risks. During the design process, critical thought is also needed because the team has to look at different IoT features, architectural issues, and hardware choices to find the best one. To pick the best parts for a project, you need to be very careful and think carefully about how standard IoT design, frameworks, tools, and APIs affect the software development life cycle.
The analysis part of the evaluation looks closely at the IoT design, frameworks, tools, and hardware that were picked. The answer picked should meet the specific needs for fixing the problem that the council has set out. It is necessary to look into how the suggested Arduino microcontroller will be used and whether it will work with the overall IoT design. The chosen technology stack should allow for efficient development, testing, and upkeep of the IoT Smart Waste Bin. This can be done by looking at how the chosen components affect the software development life cycle.
To understand the survey results from the landlord association and the orders that came after from Eastern Hekinstoke Council, you need to be able to reason and explain them. Choosing an IoT solution was based on its ability to make the best use of trash management resources and give real-time data through an IoT platform. The fact that the government is focusing on making sure trash cans are emptied on time suggests a specific area for the development team to work on. The whole process of development is guided by figuring out why each design choice was made and what the council's standards mean.
Figure 3: Smart Waste Management System using Arduino
To carry out the IoT Smart Waste Bin project, people must be able to use computer software. As a junior IoT engineer, you need to know how to use Arduino microcontrollers and other related software tools. The review checks the team's software development skills to make sure it can turn design ideas into an IoT solution that works and is easy for users to understand.
Recommendations
Several planning, development, and use suggestions came from Eastern Hekinstoke Council's IoT Smart Waste Bin initiative. Focusing on design thinking, communication, teamwork, critical thinking, analysis, reasoning, interpretation, and computer software skills supports learning and project goals.
The development team should do more neighbourhood user meetings throughout design idea development. They'll understand residents' tastes and habits to get the IoT Smart Waste Bin right. Feedback from users throughout iterative design thinking cycles may improve the response and encourage proper waste disposal.
Communicating often is key to project success, according to the proposals. Communication between the Eastern Hekinstoke Council and Oyeme LTD is essential for project updates, new ideas, and quick problem-solving. Documenting design, technology, and user needs helps the development team and partners communicate (Abuga and Raghava, 2021).
The IoT Smart Waste Bin project requires teamwork. This requires regular team meetings, planning, and knowledge-sharing. By encouraging team communication and knowledge, development will progress quicker. The team should also collaborate across departments to integrate hardware, software, and user experience expertise.
Critical thinking was crucial throughout the project, particularly when dealing with risks and issues. Create a risk management strategy to account for theft or unanticipated technical issues that might derail the project. Responsible problem-solving requires the team to prepare for these risks. Regularly reviewing the selected IoT design and tools helps them stay up with new technology and industry best practices (Seker, 2022).
IoT Smart Waste Bin prototypes should be tested in real life throughout research. This involves simulating harsh weather and high traffic to ensure the system is sturdy and dependable. Aside from the problem itself, the study should also look at how the answer can be expanded or changed in the future as the needs of Eastern Hekinstoke Council change.
As the project goes on, the council's directions and poll results should be looked at again and again to improve reasoning and interpretation. In this case, one suggestion is to set up a strong feedback loop with the council to make sure that design choices are correct and that the changing answer fits their changing needs. Going back to the reasons behind certain design decisions on a regular basis will help keep the development process clear and on track.
The development team should get regular training on how to use computer software so that they can keep up with the latest changes in IoT technologies and software tools. This will help the team make smart choices and react to any new industry standards, which will make sure that the IoT Smart Waste Bin solution lasts for a long time.
The goal of these suggestions is to improve the success of the IoT Smart Waste Bin project by focusing on user-centered design, good communication, working together as a team, strategic critical thinking, in-depth analysis, logic, interpretation, and always getting better at using computer software.
Conclusion
To conclusion, Eastern Hekinstoke Council's IoT Smart Waste Bin initiative offers a novel way to reduce littering. While developing the IoT solution, design thinking, communication, collaboration, critical thinking, analysis, logic, interpretation, and computer software abilities were strategically leveraged to meet the council's demands.
Clear and regular lines of contact between Oyeme LTD and Eastern Hekinstoke Council have made it easier for everyone to work together, which has helped the project move along quickly. Critical thinking has been very helpful in finding and dealing with possible problems, and it has helped create a complete plan for managing risks.
The IoT Smart Waste Bin prototype has been through a full analysis and testing phase that ensures its durability and ability to grow. Reviewing the council's directions on a regular basis has kept the growth process clear and on track. Continuously getting better at using computer software and teaching the development team on a regular basis makes sure that they can adapt to new technologies and industry standards.
The IoT Smart Waste Bin project not only offers a technological solution to managing waste, but it also shows how to look at development as a whole, taking into account all of its different parts. This helps make Eastern Hekinstoke Council a cleaner and more sustainable place to live.
Presentation
Slide 1: Introduction
This is the first slide. It discusses Eastern Hekinstoke Council's proposal and the importance of IoT for urban development.
To meet Learning Outcome 2 (LO2), create an IoT use strategy
Speaker Notes
Description of the project's IoT emphasis and goal to assist Eastern Hekinstoke Council reach LO2 criteria for rubbish management. How the IoT Smart trash Bin project will assist Eastern Hekinstoke Council handle rubbish is explained in the opening. This talk will propose a solution-focused development strategy using mainstream IoT frameworks and techniques.
Slide 2: Learning Outcome 2 (LO2) Overview
LO2 goals: learn about, choose, and use IoT methods
Architecture, frameworks, tools, hardware, and APIs are important
Use IoT to solve a specific problem
Focus on growth that happens in steps
Speaker Notes
IoT approaches should be studied, chosen, and used in LO2, focusing on design, frameworks, tools, hardware, APIs, and iterative development to tackle particular challenges. Learning Outcome 2 describes an IoT app development approach. This involves researching IoT techniques, choosing the best ones to address an issue, and implementing them properly. The idea is to use the same design, frameworks, tools, hardware, and APIs to create a plan. Iterative development, which incorporates user input and testing, keeps the IoT app improving.
Slide 3: Problem Identification
Littering in Ruislip and Ezra Estates
Survey results show that people are ready to use trash cans
Eastern Hekinstoke Council's request to deal with waste management – Making 50 smart trash cans for the public
Speaker Notes
The issue at hand is trash in the Ruislip and Ezra Estates. A poll shows that people want trash cans. Eastern Hekinstoke Council has asked Oyeme LTD to make 50 smart trash cans. The first step in Learning Outcome 2 (LO2) is to figure out what the problem is. The goal is to use IoT to solve specific problems. The trouble here is trash in Ruislip and Ezra Estates. The survey results showing that people were ready to use the bins became very important, which fits with LO2's focus on researching and choosing IoT technologies. The IoT application plan is a targeted answer for effective garbage management in the community, as shown by Eastern Hekinstoke Council's request for 50 smart trash cans.
Slide 4: Plan for IoT Application Development
Plan for IoT Application Development
Outline of the plan for developing IoT apps
Common design, frameworks, tools, hardware, and APIs
Focus on fixing problems (Aithal, 2021).
Iterative method with feedback from users and exploration
Speaker Notes
Describe the strategy for creating IoT apps using shared design, frameworks, tools, hardware, APIs, and iterative processes to solve the waste management issue while getting feedback from users and trying new things all the time. The "Plan for IoT Application Development" slide shows a smart way for Eastern Hekinstoke Council to deal with their garbage management problems, which is in line with Learning Outcome 2. The plan calls for researching, choosing, and using the right IoT methods, with a focus on rapid development that includes user feedback and testing. This thorough plan guarantees a solution that is focused on the user and works well.
Slide 5: Investigating IoT Techniques
Looking into the architectures, systems, tools, hardware, and APIs that are out there
Focusing on how they can be used
Assessing how well it fits the trash management problem and doing a thorough investigation so that a good choice can be made
Speaker Notes
The slide stresses the importance of looking into IoT methods, such as design, frameworks, tools, hardware, and APIs. Figuring out what the uses are, judging how well they fit the waste management problem, and making sure that decisions are made based on good information. In this step, the team looks into all the IoT architectures, platforms, tools, hardware, and APIs that are out there. The goal is to get a better idea of how they can be used and decide if they can help Eastern Hekinstoke Council with their trash management problems. This research is very important for making sure that the growth plan is in line with Learning Outcome 2 (LO2) and that the methods chosen are well-informed and help solve the problem at hand. To set the stage for a smart and well-informed decision-making process, the team stresses a thorough investigation.
Slide 6: Selecting Appropriate Techniques
Making choices based on the results of investigations.
Making sure they meet the needs of trash management.
Making sure they work with other systems and can be expanded (Abba and Light, 2020).
Choosing items strategically to solve problems.
Speaker Notes
Making decisions based on study results is part of choosing the right methods. Putting an emphasis on compatibility, scalability, and smart selection that fits the needs of trash management to solve problems effectively. It is an important step that fits with Learning Outcome 2 (LO2). Making choices based on the results of the study guarantees that the solution will work with other systems, be scalable, and fit with the needs of trash management. The selection process focuses on being as effective as possible, which makes it easier to solve problems in the plan for developing IoT apps.
Slide 7: Application Development Plan
Detailed plan using chosen techniques
Design, development, and implementation phases
Using user feedback and making changes in each iteration
Making sure the app is always getting better and meeting user needs.
Speaker Notes
IoT application development plan that includes certain methods is presented. There are phases of planning, development, and implementation. Feedback from users is incorporated into iterative processes to ensure that the system is always getting better and meeting users' needs. In line with LO2 goals, the Application Development Plan acts as a strategy road map. It guides readers through planning, development, and deployment of IoT techniques. Always improving via iterative cycles using user input. The strategy adapts to the project's demands and tackles Eastern Hekinstoke Council's waste management issues.
Slide 8: Architecture for the IoT Application
Picking the right IoT design
Making sure that smart trash cans can talk to each other without any problems
Connecting to a central dashboard for easy tracking
Thinking about how to make the system scalable in case it needs to grow in the future
Speaker Notes
Intelligent garbage cans communicate and use a single dashboard for tracking thanks to the Internet of Things architecture. When considering scalability, consider future expansion. The IoT application's optimised structure helps smart garbage cans communicate seamlessly. This concept simplifies waste disposal monitoring and management by connecting to a single dashboard. Learning Outcome 2 (LO2) scalability challenges emphasise the need of choosing the correct IoT architecture to solve problems.
Slide 9: Frameworks for Efficient Development
Slide 9 explains how frameworks may increase development speed and quality
Choose frameworks based on compatibility, support, and teamwork (OKUBANJO et al. 2024).
Speaker Notes
Developers may save time by selecting a framework based on its applicability and support. Better collaboration amongst the development team to execute the IoT application strategy. Choose frameworks that match project Learning Outcome 2 (LO2) on the "Frameworks for Efficient Development" slide. Choosing frameworks that work with the IoT design speeds up the installation of the Smart Waste Bin solution and simplifies development team collaboration.
Slide 10: Tools for put the plan into action
Using the right software
Ensure it works with given hardware and frameworks
Enhance testing and production processes
Streamline implementation
Speaker Notes
Software tools ensure technological and system compatibility. This streamlines IoT application installation by improving development and testing. Learning Outcome 2 (LO2) states that these technologies improve testing and development, ensure compatibility, and streamline execution. When the correct technologies are deployed, the IoT application development strategy helps Eastern Hekinstoke Council handle waste management concerns.
Making sure data is collected and communicated in real time
Taking on specific problems listed by Eastern Hekinstoke Council (Malche Malche et al. 2021).
Speaker Notes
Adding Arduino microcontrollers to smart trash cans makes them more useful by allowing them to collect and send data in real time. Dealing with the problems that the Eastern Hekinstoke Council has identified is necessary for garbage management to work well. Smart trash cans with these microcontrollers can collect data and talk to each other in real time, making them more useful. The combination of hardware solves specific problems pointed out by Eastern Hekinstoke Council, making sure that IoT technology is used for effective garbage management.
Slide 12: APIs for Seamless Integration
Using APIs for smooth communication
How to connect to outside services and systems
Ensuring a unified and interconnected IoT environment
Making it easier for data to be shared and improving the general efficiency of the system
Speaker Notes
APIs are used to communicate easily by connecting to outside services and systems to make exchanging data easier and improving the general efficiency of the system. Ensuring that the IoT environment works well together and is linked. These chosen APIs make it easier to share data, which lets outside services be added to improve system efficiency and make an IoT environment that works together and is linked. The use of APIs is a smart decision that helps the project reach its goal of fixing problems in trash management by allowing for easy and effective integration.
Slide 13: Problem-Solving Focus
Focus on solving problems related to waste management
Garbage bins being emptied on time, preventing mischief, and effective supervision
Making sure that user needs are met properly;
An iterative method for improvements that keep happening
Speaker Notes
The attention is still on solving problems with trash management, like cleaning containers on time, stopping vandalism, and keeping an eye on things well. Making sure that effective, user-centered solutions are used with an ongoing method to make improvements all the time. This slide shows that the main goal of the project is to solve the trash management problems that Eastern Hekinstoke Council has identified. The main goals are to empty the bins on time, stop mischief, and make tracking work well. The goal with the chosen IoT methods that are in line with LO2 is to provide useful, user-centered solutions while keeping an iterative approach for constant improvement.
Slide 14: Iterative Development Cycle
Iterative Development Cycle (Slide 14): Multiple changes to the plan
changes based on user feedback and testing
ongoing improvement throughout the development process
making the IoT app more useful and in line with user needs (Idwan et al. 2021)
Speaker Notes
In the iterative development cycle, plans are changed over and over again based on user feedback and experiments. This keeps things getting better. Getting the IoT app to work better and better meet user needs.
Slide 15: Conclusion
Key points from the talk will be reviewed, and the importance of using IoT in waste management will be emphasised
Questions and comments will be open, and the focus will be on working together and putting the user first
Speaker Notes
Bringing up the most important points of the talk, pointing out how important the IoT application is for waste management, and then allowing questions and conversations. Putting an emphasis on working together and putting the person first throughout the whole project.
References
Websites
Inceptasolutions.com, 2023. Smart waste management using iot. Accessed from: <https://www2.inceptasolutions.com/2022/03/03/smart-waste-management-using-iot/> Accessed on: 28/01/24
Basicdataconnection.com, 2023. Smart Waste Management System using Arduino. Accessed from: <https://basicdataconnection.com/7-2/h?clickid=5601dqdusydhq3yaa8&domain=redirectflowsite.com&lpkey=171706c8518e981f30&list=m&lang=en-US&browser=Chrome&uclick=qdusydhq3y&uclickhash=qdusydhq3y-qdusydhq3y-7svc0-16g68n-vcq5bl-bzm717-bzm7gx-077bde> Accessed on: 28/01/2024
Citations
Alqahtani, F., Al-Makhadmeh, Z., Tolba, A. and Said, W., 2020. Internet of things-based urban waste management system for smart cities using a Cuckoo Search Algorithm. Cluster Computing, 23, pp.1769-1780.
Venu, D.N., 2023. IoT based Smart Intelligent System for Automation of Waste Management. European Chemical Bulletin, 12(9), pp.308-322.
Abuga, D. and Raghava, N.S., 2021. Real-time smart garbage bin mechanism for solid waste management in smart cities. Sustainable Cities and Society, 75, p.103347.
Seker, S., 2022. IoT based sustainable smart waste management system evaluation using MCDM model under interval-valued q-rung orthopair fuzzy environment. Technology in Society, 71, p.102100.
Aithal, P.S., 2021. Smart city waste management through ICT and IoT driven solution. International Journal of Applied Engineering and Management Letters (IJAEML), 5(1), pp.51-65.
Abba, S. and Light, C.I., 2020. IoT-based framework for smart waste monitoring and control system: a case study for smart cities. Engineering Proceedings, 2(1), p.90.
OKUBANJO, A., OLUFEM?, O.B., OKANDEJ?, A. and DAN?EL, E., 2024. Smart Bin and IoT: A Sustainable Future for Waste Management System in Nigeria. Gazi University Journal of Science, 37(1), pp.222-235.
Malche, T., Tiwari, P.K., Tharewal, S. and Tiwari, R., 2021. Smart Waste Management System for Smart City based on Internet of Things (IoT). Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(10), pp.4491-4499.
Idwan, S., Mahmood, I., Zubairi, J.A. and Matar, I., 2020. Optimal management of solid waste in smart cities using internet of things. Wireless Personal Communications, 110, pp.485-501.
