Developing an Intelligent waste management system for effective2 - Copy.pptx

a research proposal/defense presentation

1. Developing an Intelligent waste management system for effective trash collection and disposal in urban areas and cities. Explore and learn the crucial task for Developing an Intelligent waste Management systems for effective trash collection and disposal in urban areas and cities.

2. Developing an Intelligent waste management system for effective trash collection and disposal in urban areas and cities. Explore and learn the crucial task for Developing an Intelligent waste Management systems for effective trash collection and disposal in urban areas and cities.

3. Introduction Good day, everyone. Today, we will be discussing the problem of waste management in urban areas and cities. Waste management is an issue that affects us all, and one has become increasingly pressing in recent years. With urbanization on the rise and populations growing, the amount of waste being produced in our cities has reached unprecedented levels.

4. introduction Improper waste management can have a serious environmental, social, and economic consequences, from pollution and health hazards to increased costs and reduced quality of life. In this presentation, we will explore the background information on the problem of waste management in urban areas and cities, and discuss some of the solutions that are being proposed to address it. ( source:Sciencedirect.com )

5. Problem Statement The inefficient and ineffective waste management in urban areas and cities is a significant problem that affects the environment, health, and economy of these areas. The current waste management practices are not effective because they are not adequately equipped to handle the increasing amount of waste produced by growing population.

6. Problem statement This leads to environmental pollution, health hazards, and economic losses. Therefore, developing an intelligent waste management system is crucial to address these issues and ensure sustainable development in urban areas and cities. ( source:scencedirect.com )

7. Objectives 1. to provide an overview of the research proposal for developing an intelligent waste management system for effective trash collection and disposal in urban areas and cities. 2. to explain the key features and functionally of the proposed system, including the use of modern technologies such as IoT (Internet of things), Big Data, and AI. 3. to highlight the benefits of the proposed system, including improved efficiency, cost-effectiveness, and reduced environmental impact .

8. Objectives (P.2) 4. to present the results of evaluation of the proposed system’s performance and efficiency compared to traditional waste management methods. 5. to discuss the economic and environmental impacts of the proposed system and how it can improve the quality of life for citizens. 6. to recommend policies and strategies for the adoption and implementation of the intelligent waste management system in urban areas and cities .

9. Explanation of how the proposed system will address the problem of inefficient and ineffective waste management: During the defense presentation, we will explain how the proposed intelligent waste management system will address the challenges of inefficient and ineffective waste management in urban areas and cities. We will explain how the system will use sensors and cameras to monitor trash levels and collect trash at the appropriate time and location.

10. Explanation of how the proposed system will address the problem of inefficient and ineffective waste management: We will also explain how the system will use algorithms to optimize collection routes and schedules, making the process more efficient and cost-effective. We will highlight how the system will leverage data analytics to provide insights and recommendations to policymakers and waste management companies on how to improve their processes and operations. Overall, we will demonstrate how the proposed system will enable cities to reduce waste sent to landfills, reduce operational costs, and improve the quality of life for citizens. ( source:ScienceDirect.com )

11. methodology

12. 1. research Conduct extensive research on the current waste management system in urban areas and cities. This includes the different methods of waste collection, transportation, and disposal, as well as the challenges and limitations of these systems.

13. 2 . Needs assessments Conduct a needs assessment to determine the specific waste management needs of each urban area or city. This includes identifying the types and quantities of waste generated, the availability of resources such as landfills and recycling facilities, and the existing infrastructure for waste collection and disposal.

14. 3. Technology selection Identify and evaluate the most suitable technologies for the intelligent waste management system based on the needs assessment and research. This made include sensors for waste monitoring, smart bins for efficient collection, and data analytics for optimization.

15. 4 . Prototype development Develop a prototype of intelligent waste management system that incorporates with the selected technologies. This should include a user-friendly interface for stakeholders such as waste collectors, city officials, and residents.

16. 5. Testing and evaluation Test the prototype in a real-world setting to evaluate its effectiveness in waste collection and disposal. This includes monitoring the performance of different components of the system and assessing the impact on waste reduction and environmental sustainability.

17. 6 . Refinement and implementation Refine the intelligent waste management system based on the testing and evaluation results. This includes addressing any identified issues or limitations and improving the overall performance and efficiency of the system. The final system should be implemented in urban areas and cities to improve waste management systems.

18. Components of the system

19. 1 . Waste monitoring This component involves the use of sensors to monitor the level of waste in bins and dumpsters. This helps to optimize waste management collection routes and schedules, as well identify areas with high waste generation rates.

20. 2. Smart bins These are equipped with technology such as RFID and GPS trackers to enable efficient collection and transportation and waste. The smart bins can also alert waste collector when they are full, reducing the time and resources required for waste collection.

21. 3.DATA ANALYTICS These component involves the analysis of data from the waste monitoring the smart bin systems to optimize waste collection ad disposal practices. This include identifying patterns in waste generation and collections, making data-driven decisions to improve efficiency and reduce cost.

22. 4.USER INTERFACE The intelligent waste management system should have a user-friendly interface for stakeholders such as waste collectors, city officials, and residents. This enables easy communication and collaboration between different parties involved in waste management.

23. Step-by-step solution

24. Step-by-step solution 1. Conduct extensive research on the current waste management systems in urban areas and cities 2. Conduct a needs assessment to determine the specific waste management needs of each urban area or city. 3. Identify and evaluate the most suitable technologies for the intelligent waste management system based on the needs assessments and research. 4. develop a prototype of the intelligent waste management system that incorporates the selected technologies.

25. Step-by-step solution (p.2) 5 . test the prototype in a real-world setting to evaluate its effectiveness . 6. refine the intelligent waste management system based on the testing and evaluation results. 7. implement the final system in urban areas and cities to improve waste management practices. 8. the system components include waste monitoring, smart bins, data analytics, and user interface. These components work together to optimize waste collection and disposal practices and improve efficiency and sustainability.

26. Expected outcomes

27. Expected outcomes: Improve efficiency in waste collection and disposal operations . Increased customer satisfaction with improved trash collection services. Increased public awareness and participation in waste management activities. Optimized waste disposal routes and reduce carbon footprint

28. budget

29. budget R&D & project planning & design & scoping & research: U$100,000-U$200,000 Prototype development & testing & deployment: U$300,000-U$400,000 Ongoing maintenance & support: U$20,000-U$30,000 per year

30. References

31. references “ Mapping waste infrastructure to improve municipal solid waste management in urban areas and cities” by M.O’Neill et all., in ScienceDirect, 2022. “ Smart waste management system: A review” by R.A. Abdullah et al., in arXiv:1501.02532, 2015. “waste management system for smart cities-A Review” by P. Muthuraj et al., in international journal of computer applications, 2021

32. References (p.2) ScienceDirect.com Link.Springer.com Wikipedia.org

33. Additional information Created by Group 5! Group members: Kristoff Simpin Nico Pancho Alvarez Lagbaran Jenica Flores Quinlan Bugao Developing an intelligent waste management system for effective trash collection and disposal in urban areas and cities

34. That’s all! Thank you for listening to our dear presentation !