Iot Enabled waste management system.pptx

A ppt for iot enabled waste management system.

1. SMART WASTE MANAGEMENT SYSTEM IOT ENABLED Guided by Nisha JR Assistant Professor Department of CSE Submitted by Abbie Thankachan S7R2 03

2. CONTENT 01 02 03 04 05 06 07 INTRODUCTION LITERATURE SURVEY DRAWBACKS OF EXISTING SYSTEM IOT AND ITS ROLES PROPOSED SYSTEM REQUIREMENTS METHODOLOGY 08 09 ADVANTAGES CONCLUSION

3. INTRODUCTION Today we delve into an innovative solution that is transforming waste management as we know it - The IoT-Enabled Smart Waste Management System. In an era where sustainability and efficiency are paramount, waste management plays a crucial role in maintaining a clean environment and conserving resources. We'll explore how this technology addresses the challenges of traditional waste management and significantly enhances its efficiency, cost-effectiveness, and environmental impact. With the advent of IoT, waste management is no longer just a routine chore but a data-driven, smart solution.

4. LITERATURE SURVEY Narayan Sharma, Nirman Singha, Tanmoy Dutta, "Smart Bin Implementation for Smart Cities", International Journal of Scientific & Engineering Research, Volume 6, Issue 9, September-2015 In this they have equipped the smart bins with ultrasonic sensors which measure the level of dustbin being filled up. The container is divided into three levels(h/3, 2h/3, h) of garbage being collected in it. Every time the garbage crosses a level the sensors receives the data of the filled level. This data is further sent to the garbage analyzer as instant message using GSM module. Prof. R.M.Sahu, Akshay Godase, Pramod Shinde, Reshma Shinde, "Garbage and Street Light Monitoring System Using Internet of Things", International journal of innovative research in electrical, electronics, instrumentation and control engineering Vol. 4, Issue 4, April 2016. In this they have build built a framework in which a Camera will be set at each garbage collection point alongside load cell sensor at base of the trash can. The camera will take continuous snapshots of the garbage can. A threshold level is set which compares the output of camera and load sensor.

5. LITERATURE SURVEY

6. DRAWBACK OF EXISTING SYSTEM * One of the main concerns with our environment has been solid waste management which impacts the health and environment of our 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 cumbersome process and utilizes more human effort, time and cost which can be avoided with our present technologies.

7. DRAWBACK OF EXISTING SYSTEM [CONT] Lack of the proper information about the collecting time and area. Lack of the proper system for monitoring, tracking the trucks and trash bins that have been collected in real time. Loss of productivity due to inefficient utilization and unauthorised use of vehicles. There is no quick way to response to client’s complaints about uncollected waste.

8. PROBLEM

9. IOT AND IT’S ROLE IoT, which stands for the 'Internet of Things,' refers to a network of interconnected physical devices, sensors, and objects that collect and exchange data over the internet. In healthcare, for example, IoT-enabled medical devices can monitor patients vital signs remotely, improving patient care and reducing hospitalization. In agriculture, IoT sensors can collect data on soil conditions, weather, and crop health, optimizing farming practices and increasing crop yields. In transportation, IoT is powering smart cities with traffic management systems that reduce congestion and enhance safety.

10. PROPOSED SYSTEM Our proposed model provide real time monitoring to the garbage bins placed in various locations. These garbage boxed have been assigned with a unique id which determines the garbage bin identity. The garbage bins are build with a sensor module (Ultrasonic sensor) which continuously monitors the garbage level inside the garbage bin. Any moment the garbage level passes over the critical level (i.e 80%), the system generates a notification to the monitoring panel (admin panel/garbage cleaning team) and so the cleaning team collects the garbage from the identified garbage bin. Android device will detects, in which area dustbin is located and status of that.

11. ... FLOW DIAGRAM

12. REQUIREMENTS ULTRASONIC SENSOR NODE MCU/ARDUINO UNO/GSM MODULE WIFI MODEM SMART DUSTBIN

13. METHODOLOGY STEP 1 An ultrasonic sensor will be placed on the interior side of the lid, the one facing the solid waste. As trash increases, the distance between the ultrasonic and the trash decreases. This live data will be sent to our micro- controller. STEP 2 Micro-controller then processes the data and sends to thingspeak with the help of Wi-Fi module. STEP 3 Virtuino is an Android app for monitoring sensor or control electrical devices via Bluetooth, local Wi-Fi or Internet and Control internet of things server - Thingspeak data monitor

14. METHODOLOGY

15. IT ALSO AIMS AT CREATING A CLEAN AS WELL AS GREEN ENVIRONMENT ADVANTAGES IT WILL STOP OVERFLOWING OF DUSTBINS ALONG ROADSIDES AND LOCALITIES AS SMART BINS ARE MANAGED AT REAL TIME. BY USING ROUTING ALGORITHM IT WILL SMARTLY FIND THE SHORTEST ROUTE. THUS IT WILL REDUCE THE NUMBER OF VEHICLES USED FOR GARBAGE COLLECTION. .

16. ADVANTAGES IT WILL REDUCE FUEL CONSUMPTION. MINIMIZES LABOUR COSTS BY STREAMLINING COLLECTION ROUTES AND SCHEDULES. LESS AMOUNT OF FUEL CONSUMED BY VEHICLES THUS CAN SAVE A LARGE AMOUNT OF MONEY AS WELL.

17. DISADVANTAGES Initial implementation costs Technical challenges Reliability and maintenance Power supply dependency Limited coverage and connectivity Vulnerability to Environmental factors

18. FUTURE SCOPE The rollout of 5g networks will improve data transmission speeds and reliability, address connectivity challenges in remote or densely populated areas. Advanced sensors and robotics may be employed to automate waste sorting processes at recycling centers, improving recycling rates and reducing contamination. INTEGRATION OF AI & ML 5G CONNECTIVITY SMART WASTE SORTING These technologies will enable predictive analytics for waste generation patterns, further optimizing collection routes and schedules.

19. CONCLUSION In conclusion, IoT-enabled Smart Waste Management Systems represent a transformative leap in the way we handle waste. These systems harness the power of technology to make waste collection and disposal smarter, more efficient, and environmentally sustainable. We've explored the key components, advantages, and challenges of these systems, highlighting their potential to revolutionize the waste management industry. From improved efficiency and cost reduction to environmental impact reduction and enhanced user engagement, the benefits are substantial. Moreover, the future of this technology is bright, with opportunities for AI integration, advanced user engagement, and global expansion. Thank you for joining us on this journey to explore the future of waste management through the lens of IoT technology.

20. REFERENCES ➤C. K. M. LEE AND T. WU, "DESIGN AND DEVELOPMENT WASTE MANAGEMENT SYSTEM IN HONG KONG," 2014 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, BANDAR SUNWAY, DOI: 10.1109/IEEM 2014.7058748 ➤M. H.A. WAHAB, ET.AL., "SMART RECYCLE BIN: A CONCEPTUAL APPROACH OF SMART WASTE MANAGEMENT WITH INTEGRATED WEB BASED SYSTEM, INTERNATIONAL CONFERENCE ON IT CONVERGENCE AND SECURITY (ICITCS), 2014, BEIJING, 2014, PP. 1-4. DOI: 10.1109/ICITCS.2014.702181 ➤S. THAKKER AND R. NARAYANAMOORTHI, "SMART AND WIRELESS WASTE MANAGEMENT." INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS),2015, COIMBATORE, 2015, PP. 1-4. DOI: 10.1109/ICIIECS 2015.7193141

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