IoT Based Solid Waste Management
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The document discusses an IoT-based solid waste management system designed to monitor garbage bins and optimize waste collection. It utilizes sensors to detect fill levels and weight of the waste, transmitting real-time data to a control room for effective decision-making. The system aims to reduce overflow-related issues, enhance environmental quality, and improve resource management in urban areas.
![Rani et al., (2019)
27 Volume 06, Issue 04, Version I, Apr’ 2019
FUTURE SCOPE
• We are planned to facilitate the separation of degradable and non-degradable waste
by using some sensors in additional
• We are planned to monitor the maintenance of bin in regular period of interval
• We are planned to implement a scanner to detect any costliest metals like gold,
silver or platinum is kept into the bin by mistaken
• We are planned to improve the speed of transmission of data from rural areas too
CONCLUSION
We have designed this kit to convert the normal dust bins to smart dust bin. It is
implemented with real time systems to monitor the fill level and weight of the smart
dustbins whether it is full or not. In this system the information of all smart dustbins can
be accessed from anywhere and at any time by the authorized person he/she can take a
decision accordingly.
By implementing this proposed system, the cost reduction, resource optimization,
effective usage of smart dust bins can be done. This system indirectly reducing traffic in the
city.
In major cities, the garbage collection vehicle has to visit the area everyday twice or
thrice depends on the population of the particular area and sometimes these dustbins may
not be full.
Our system will inform the status of each and every dustbin in real time so that the
concern authority can send the garbage collection vehicle only when the dustbin is full.
REFERENCES
[1] M. A. Hannan, M. Abdulla Al Mamun, A. Hussain, H. Basri, and R. A. Begum, "A review
on technologies and their usage in solid waste monitoring and management systems:
Issues and challenges," Waste Manage., vol. 43, pp. 509-523, Sep 2015.
[2] L. Dahlén, S. Vukicevic, J. Meijer, and A. Lagerkvist, "Comparison of different collection
systems for sorted household waste in Sweden," Waste Manage., vol. 27, pp. 1298-
1305, 2007.
[3] A. Gallardo, M. D. Bovea, F. J. Colomer, M. Prades, and M. Carlos, "Comparison of
different collection systems for sorted household waste in Spain," Waste Manage.,
vol. 30, pp. 2430-2439, 2010.
[4] J.-W. Lu, S. Zhang, J. Hai, and M. Lei, "Status and perspectives of municipal solid waste
incineration in China: A comparison with developed regions," Waste Manage., vol. 69,
pp. 170-186, 2017/11/01/ 2017.
[5] Mallika, C., Hema, A., Visalatchy, S., & Ilakkiya, N., (2017) “Smart Sensing Technology
Using Environmental Analyzing Based on IoT”. International Journal of Advanced
Scientific Research & Development (IJASRD), 4 (11/2), pp. 79 – 87.
[6] Y. Zhuang, S. W. Wu, Y. L. Wang, W. X. Wu, and Y. X. Chen, "Source separation of
household waste: A case study in China," Waste Manage., vol. 28, pp. 2022-2030,
2008.](https://image.slidesharecdn.com/60405-190514070319/85/IoT-Based-Solid-Waste-Management-5-320.jpg)
![IoT Based Solid Waste Management
Volume 06, Issue 04, Version I, Apr’ 2019 28
[7] J.-W. Lu, N. B. Chang, L. Liao, and M. Y. Liao, "Smart and Green Urban Solid Waste
Collection Systems: Advances, Challenges, and Perspectives," IEEE Syst. J. , vol. 11,
pp. 2804-2817, 2017.
[8] O. L. Patrícia and M. J. B. Marques, "Reliability of a line-of-view sensor for recycling
point waste containers", presented at the World Congress 2009: Turning Waste into
Ideas, 2009.
[9] J. M. Gutierrez, M. Jensen, M. Henius, and T. Riaz, "Smart Waste Collection System
Based on Location Intelligence," Procedia Computer Science, vol. 61, pp. 120-127,
2015.](https://image.slidesharecdn.com/60405-190514070319/85/IoT-Based-Solid-Waste-Management-6-320.jpg)
IoT Based Solid Waste Management
- 1. Available online at https://www.ijasrd.org/ International Journal of Advanced Scientific Research & Development Vol. 06, Iss. 04, Ver. I, Apr’ 2019, pp. 23 – 28 Cite this article as: Rani, A. J. U., Priya, S., Rajalakshmi, M., Vinodhini, J., Maaleni, R. A., & Subbu, V. V., “IoT Based Solid Waste Management”. International Journal of Advanced Scientific Research & Development (IJASRD), 06 (04/I), 2019, pp. 23 – 28. https://doi.org/10.26836/ijasrd/2019/v6/i4/60405. * Corresponding Author: M. Rajalakshmi, rajianbu1106@gmail.com e-ISSN: 2395-6089 p-ISSN: 2394-8906 IOT BASED SOLID WASTE MANAGEMENT U. Arockia Jancy Rani1, S. Priya1, M. Rajalakshmi1*, J. Vinodhini1, R. A. Maaleni1 and V. Venkata Subbu2 1 UG students, Dept., of ECE, St. Joseph’s College of Engineering and Technology, Thanjavur. 2 Assistant Professor, Dept., of ECE, St. Joseph’s College of Engineering and Technology, Thanjavur. ARTICLE INFO Article History: Received: 12 Mar 2019; Received in revised form: 14 Apr 2019; Accepted: 14 Apr 2019; Published online: 10 May 2019. Key words: Internet of Things, IoT, Smart City, Environmental Information System, Waste Separation, Differentiated Collection. ABSTRACT The Internet of Things (IoT) can be able to incorporate a large number of different end systems and it have the ability to transfer data over internet without human interaction. One of the main concerns with our environment has been solid waste management which in addition to disturbing the balance of the environment. it also has adverse effects on the health of the people in the society. The detection, monitoring and management of wastes is one of the primary problems. The traditional way of manually monitoring the wastes in garbage bins is the complex process and also it utilizes more human effort and time. This is an advanced method in waste management since it is automated. This IoT garbage monitoring system is a very innovative system which will help to prevent overflowing of wastes from the bin and keep cities clean. This system monitors the garbage bins and informs about the level of garbage collected in garbage bins. The data is transfer through internet to the control room. Copyright © 2019 IJASRD. This is an open access article distributed under the Creative Common Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. INTRODUCTION Things (embedded devices) that are connected to internet and sometimes these devices can be controlled from the internet is commonly called as Internet of Things. In our system, the smart dust bins are connected to the internet by using IoT module to transfer the real time information about the smart dust bin. In the recent years, there was a rapid growth in population which leads to more disposal of wastes. So, a proper waste management system is necessary to avoid spreading of harmful and deadly diseases. Managing the smart bins by monitoring the status and taking the decision right decision at right time. The kit with PIC16F877A controller, sensor, load cell, motor and IoT module is fixed to garbage bin.
- 2. IoT Based Solid Waste Management Volume 06, Issue 04, Version I, Apr’ 2019 24 IR sensor and load cell are used to detect the level of the dust and the weight of the waste in dustbin and sends the signal to the controller. The controller sends the signal to the IoT module through UART cable. With the help of IoT module the data is transmitted to the control room via internet. The corporation will take the decision based on the received data. BLOCK DIAGRAM 2.1 Basket Unit 2.2 IoT Section (PC) WORKING PRINCIPLE The IoT based solid waste management is mainly designed to monitor the garbage bin. The kit that contains microcontroller module and IoT module is fixed to the side wall of the garbage bin. The IR sensor is placed at the top of the garbage bin to detect the level of
- 3. Rani et al., (2019) 25 Volume 06, Issue 04, Version I, Apr’ 2019 garbage. The load cell is placed at the bottom of the bin to measure the weight of the wastes. Assume that a person is throwing waste into the bin. If the waste does not intrude the infra-red light from IR sensor, then it shows that garbage bin is not full. If it intrudes the beam of light, then it will send that the garbage bin is full when we refresh the control page. At the same time, the load cell measures the weight of the waste and detect whether it reached its threshold level or not. If the weight of garbage attained the threshold value, it will send the message as ―garbage over load. If it does not cross the threshold value, then we can turn ON the crushing motor from the control room by clicking the ON button in control page. Even if the motor crushed the wastes but it does not lower its height and intrude the infra-red beam, it denotes that the bin is filled with light weight waste like papers, plastics etc., The LCD in the bin also show the status of the bin. The buzzer will turn on if the bin is overloaded. With the help of this real time information from each bin, the corporation can take the right decision at right time. This helps to prevent the bin from overflow and from related problems due to overflowed waste like diseases and unpleasant smell. EXPERIMENTAL RESULTS This is the overall setup of our project. The pic controller is assembled in a PCB. The sensors are connected as an input device to the PIC controller. The IoT module is provided with a sim slot, in this we can insert sim to enable the transmission of data. The relay is used to turn on the motor, when the IoT module received “ON” command from control web page. The sensors detect the values and transmit to the controller. From the controller, the data is transmitting to IoT module through UART cable. Then it is transmitted to server. We have created a link to upload the data to the server. There are two links, one is for upload the data and another one is for control the operation of motor. The LCD is used to display the status of the bin. The buzzer also connected to alarm in critical situation. This is the very efficient method. The IoT is used to use the bins efficiently. The GSM is used to provide internet connection to transmit data and to receive data.
- 4. IoT Based Solid Waste Management Volume 06, Issue 04, Version I, Apr’ 2019 26 4.1 Webpage with Data 4.2 Webpage to Control Motor 4.3 Advantage • Real time information about the fill level of the dust bin • Positioning of dustbins based on the actual needs • Cost reduction and resource optimization • Real time information about the weight of the garbage in the bin • Improves environmental quality • Intelligent management of the services in the city • Effective usage of garbage bins 4.4 Application • It is used to create a smart city • It is very useful for corporation to monitor the bins • It helps to take right decision at right time by corporation
- 5. Rani et al., (2019) 27 Volume 06, Issue 04, Version I, Apr’ 2019 FUTURE SCOPE • We are planned to facilitate the separation of degradable and non-degradable waste by using some sensors in additional • We are planned to monitor the maintenance of bin in regular period of interval • We are planned to implement a scanner to detect any costliest metals like gold, silver or platinum is kept into the bin by mistaken • We are planned to improve the speed of transmission of data from rural areas too CONCLUSION We have designed this kit to convert the normal dust bins to smart dust bin. It is implemented with real time systems to monitor the fill level and weight of the smart dustbins whether it is full or not. In this system the information of all smart dustbins can be accessed from anywhere and at any time by the authorized person he/she can take a decision accordingly. By implementing this proposed system, the cost reduction, resource optimization, effective usage of smart dust bins can be done. This system indirectly reducing traffic in the city. In major cities, the garbage collection vehicle has to visit the area everyday twice or thrice depends on the population of the particular area and sometimes these dustbins may not be full. Our system will inform the status of each and every dustbin in real time so that the concern authority can send the garbage collection vehicle only when the dustbin is full. REFERENCES [1] M. A. Hannan, M. Abdulla Al Mamun, A. Hussain, H. Basri, and R. A. Begum, "A review on technologies and their usage in solid waste monitoring and management systems: Issues and challenges," Waste Manage., vol. 43, pp. 509-523, Sep 2015. [2] L. Dahlén, S. Vukicevic, J. Meijer, and A. Lagerkvist, "Comparison of different collection systems for sorted household waste in Sweden," Waste Manage., vol. 27, pp. 1298- 1305, 2007. [3] A. Gallardo, M. D. Bovea, F. J. Colomer, M. Prades, and M. Carlos, "Comparison of different collection systems for sorted household waste in Spain," Waste Manage., vol. 30, pp. 2430-2439, 2010. [4] J.-W. Lu, S. Zhang, J. Hai, and M. Lei, "Status and perspectives of municipal solid waste incineration in China: A comparison with developed regions," Waste Manage., vol. 69, pp. 170-186, 2017/11/01/ 2017. [5] Mallika, C., Hema, A., Visalatchy, S., & Ilakkiya, N., (2017) “Smart Sensing Technology Using Environmental Analyzing Based on IoT”. International Journal of Advanced Scientific Research & Development (IJASRD), 4 (11/2), pp. 79 – 87. [6] Y. Zhuang, S. W. Wu, Y. L. Wang, W. X. Wu, and Y. X. Chen, "Source separation of household waste: A case study in China," Waste Manage., vol. 28, pp. 2022-2030, 2008.
- 6. IoT Based Solid Waste Management Volume 06, Issue 04, Version I, Apr’ 2019 28 [7] J.-W. Lu, N. B. Chang, L. Liao, and M. Y. Liao, "Smart and Green Urban Solid Waste Collection Systems: Advances, Challenges, and Perspectives," IEEE Syst. J. , vol. 11, pp. 2804-2817, 2017. [8] O. L. Patrícia and M. J. B. Marques, "Reliability of a line-of-view sensor for recycling point waste containers", presented at the World Congress 2009: Turning Waste into Ideas, 2009. [9] J. M. Gutierrez, M. Jensen, M. Henius, and T. Riaz, "Smart Waste Collection System Based on Location Intelligence," Procedia Computer Science, vol. 61, pp. 120-127, 2015.