An Event Based Actions Andenergy Management in Smart Cities

DOI : 10.17577/IJERTCONV12IS03029

Download Full-Text PDF Cite this Publication

Text Only Version

An Event Based Actions Andenergy Management in Smart Cities



A cutting-edge solid waste management system is revolutionizing waste collection processes by integrating advanced sensor technologies with environmental monitoring capabilities. This innovative system incorporates sensors that

continuously track temperature, humidity, and CO2 levels in the surrounding environment. By leveraging an Internet of Things (IoT) platform, this data is processed and updated in real-time, providing invaluable insights for waste management and environmental safety. One of the key functionalities of this system is its ability to accurately assess the fill levels of waste bins, enabling proactive waste collection scheduling. By constantly monitoring bin levels, the system ensures that collection routes are optimized based on real-time data, thereby improving operational efficiency and reducing costs. Moreover, the integration of weather monitoring sensors


    Environmental degradation is a pressing global concern that demands innovative solutions to mitigate its impact. One of the critical challenges we face is efficient waste management, which not only affects public health but also contributes to pollution and climate change. In response to these challenges, the integration of advanced sensor technologies with waste management systems presents a promising solution. By harnessing the power of real-time data monitoring and analysis, this approach offers a proactive strategy to address environmental problems and enhance sustainability efforts. The implementation of a solid waste dustbin level management system integrated with weather monitoring and CO2 leakage detection represents a significant step forward in environmental management practices. This project utilizes cutting- edge sensor technologies to continuously monitor key environmental parameters such as temperature, humidity, and CO2 levels. By incorporating these sensors into waste bins and surrounding infrastructure, the system can accurately assess the fill levels of bins in real-time, optimizing waste collection routes and schedules. Furthermore, the

    enhances decision-making by providing contextual information about environmental conditions that may affect waste management operations. Beyond optimizing waste collection processes, this integrated system also prioritizes environmental safety by detecting and mitigating potential hazards such as CO2 leaks. Early detection of environmental threats allows for swift response measures to be implemented, safeguarding both public health and the surrounding ecosystem. The combination of real-time monitoring, data analytics, and proactive decision- making capabilities makes this system a game- changer in the realm of waste management, ensuring both operational efficiency and environmental sustainability.

    Keywords:Solidwaste dustbin level management

    ,weather monitoring, CO2 leakage detection

    integration of weather monitoring sensors provides crucial contextual information about environmental conditions. By analyzing weather data, the system can anticipate potential challenges such as heavy rainfall or extreme temperatures, which may affect waste management operations. This proactive approach enables decision-makers to adapt strategies accordingly, minimizing disruptions and optimizing resource utilization. Moreover, the inclusion of CO2 leakage detection sensors enhances environmental safety measures. CO2 leaks pose a significant threat to public health and the environment.


    1. *Search Academic Databases*: Utilize academic databases such as IEEE Xplore, ScienceDirect, Google Scholar, and PubMed to search for peer- reviewed articles, conference papers, and research publications relevant to each aspect of your project.

    2. *Keywords and Search Queries*: Use appropriate keywords and search queries related to each component of your project. For example:

    – Solid Waste Dustbin Level Management: "solid waste management," "smart waste bins," "garbage level monitoring," "waste bin sensors."

    • CO2 Leakage Detection: "carbon dioxide detection," "gas leakage sensors," "CO2 monitoring systems."

    • Weather Monitoring Sensors: "weather sensors," "environmental monitoring," "meteorological sensors," "weather station."

    *Identify Gaps and Opportunities*: Identify any gaps or areas where existing literature may be lacking. Look for opportunities to contribute to the field through your project, whether it's by proposing new sensor designs, improving data analytics techniques, or implementing innovative IoT solutions.




    Load Cells

    Provide accurate weight measurements of solid waste in larger containers or dumpsters.

    Ultrasonic Sensors

    Measure the level of solid waste in dustbins to optimize waste collection routes and


    RFID Tags

    Identify and track individual waste bins or containers to ensure proper handling and


    CO2 Sensors

    Detect and monitor carbon dioxide (CO2) levels in the environment to identify

    potential leakages. .

    Gas Detectio n Sensors

    Identify and quantify the presence of other gases emitted from waste or industrial


    Hardware used: Load cells,Ultrasonic Sensors,RFID Tages,CO2 Sensors,Gas Detection Sensors,Weather Station, Air Quality Sensors ,Rain Gauges

    Weather Stations

    Monitor meteorological parameters such as temperature, humidity, and air pressure for weather forecasting and analysis.

    Air Quality Sensors

    Assess the concentration of particulate matter (PM2.5, PM10), volatile organic compounds (VOCs), and other air pollutants.

    Rain Gauges

    Record precipitation levels to manage stormwater runoff and assess the impact of weather on

    waste management operations.

    Softwareused:Data Management System,Geographic Information System(GIS)



    Data Management System

    Store and manage data collected from sensors, including dustbin levels, CO2

    concentrations, and weather



    Visualize and analyze spatial


    data such as dustbin locations,

    System (GIS)

    CO2 leakage points, and

    weather patterns on maps for




    The RF is constantly evolving and is giving unique solutions to everyday problem faced by man. Smart City is one such implementation aimed at improving the lifestyle of human beings. We deploy the conept of integrating different case situations in this paper. The review includes solid waste management, rain water harvesting, automated street light and solar energy management. These are selected to improve the quality of our lifestyle and to utilize the natural resources to the benefit of our livelihood.

    Figure:Flow chart


    The proposed solid waste dustbin level management system integrates weather monitoring and CO2 leakage detection, employing sensors to track temperature, humidity, and CO2 levels in real-time. Through an LCD display and an Internet of Things (IoT) platform, this data is constantly updated, facilitating proactive decision-making for efficient waste management and environmental safety. By accurately assessing bin levels, the system optimizes waste collection schedules, while also enabling early detection and mitigation of environmental hazards such as .



    1. *Solid Waste Dustbin Level Management:* Assessment of the accuracy and reliability of the dustbin level management system in monitoring

      and managing solid waste.

      Discussion on how the system contributes to efficient waste collection schedules, reducing overflow instances, and optimizing resource allocation.

    2. *CO2 Leakage Detection:*

      Evaluation of the effectiveness of CO2 leakage detection sensors in identifying and alerting to potential leaks or environmental hazards.

      Discussion on the implications for public safety, environmental protection, and regulatory compliance.

    3. *Weather Monitoring Sensors:*

    Analysis of the weather monitoring sensors' capability to provide real-time data on temperature, humidity, precipitation, etc.

    Discussion on how this data contributes to better decision-making in waste management operations and environmental planning.



In conclusion, the integration of solid waste dustbin level management with weather monitoring and CO2 leakage detection offers a compelling solution to address the challenges of modern waste management and environmental safety. By combining these technologies, this system provides a holistic approach to waste management, allowing for real-time monitoring of fill levels, environmental conditions, and potential hazards. This integrated approach not only enhances the efficiency of waste collection processes but also contributes to the overall safety and well-being of communities by mitigating environmental risks. Through the utilization of IoT technology and continuous data updates, this system empowers decision-makers to take proactive measures in waste management. By analyzing real-time data, authorities can optimize waste collection schedules, allocate resources more efficiently, and respond promptly to environmental threats such as CO2 leaks. This proactive approach not only improves operational efficiency but also minimizes the environmental impact of waste management activities, contributing to a cleaner and healthier living environment for all.


  • I. A. T. Hashem, V. Chang, N. B. Anuar, K. Adewole, I. Yaqoob, A. Gani, E. Ahmed, H. Chiroma, The role of big data in smart city, International Journal of Information Management, Vol.36, No.5, October 2016, pp. 748-758.

  • Sindhu.A.M, Jerin George, Sumit Roy, Chandra J, Smart Streetlight Using IR Sensors, IOSR Journal of Mobile Computing & Application (IOSR-JMCA) e- ISSN: 2394-0050, P-ISSN: 2394-0042.Volume 3,

    Issue 2. (Mar. – Apr. 2016), PP 39-44

  • Reinhard Mu¨ llner and Andreas Riener ,An energy efficient pedestrian aware Smart Street Lighting system, International Journal of Pervasive Computing and Communications, Vol. 7 No. 2, 2011, pp. 147-161

  • Chetna Badgaiyan, Palak Sehgal, Smart Street Lighting System, International Journal of Science and Research (IJSR), Volume 4 Issue 7, July 2015,pp. 271-


  • Parkash, Prabu V, Dandu Rajendra ,Internet of

    Things Based Intelligent Street Lighting System for

    Smart City, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 5, May 2016, ISSN (Print) : 2347-6710, PP.7684-7691

  • Szum, Katarzyna. "IoT-based smart cities: A bibliometric analysis and literature review." Engineering Management in Production and Services

    13.2 (2021): 115-136

  • Urooj, S., Alrowais, F., Teekaraman, Y., Manoharan, H., & Kuppusamy, R. (2021). IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities. Energies, 14(4), 1072.

  • Gehlot, Anita, et al. "Internet of Things and Long- Range-Based Smart Lampposts for Illuminating Smart Cities." Sustainability 13.11 (2021): 6398.

  • Al-Shareefi, Nael, et al. "Towards secure smart cities: design and implementation of smart home digital communication system." Indonesian Journal of Electrical Engineering and Computer Science 21.1 (2021): 271-277.

  • Srinivas, Mannem, Shajulin Benedict, and Basil C. Sunny. "IoT cloud based smart bin for connected smart cities-A product design approach." 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2019