IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v6y2021i5id62531.html

Dry and Wet Waste Segregation and Management System

Author

Listed:
  • Md Abdullah Al Rakib
  • Md. Sohel Rana
  • Md. Moklesur Rahman
  • Fysol Ibna Abbas

Abstract

Waste management faces numerous difficulties because of its enormous, quickly developing populace in a densely populated nation in the developing nations. The primary target of the research work is dry and wet waste separation and management process. A portion of the trash individuals produce is biodegradable, some are recyclable, and some are not one or the other. Waste segregation includes isolating wastes as per how it's dealt with or handled. Isolation of waste through at unloading locales burns-through additional time and labor. This work suggests a Spontaneous Waste Segregator (SWS) which is a modest, simple to utilize answer for an isolation framework at family units. The AWS utilizes a dampness sensor to distinguish wet and dry waste and separate them with ultrasound sensors for ceaseless checking and GSM based waste level notice to authority. This system can be used in industries for the employees to use daily. It will be used for wet food junks or even as a normal daily bin. The automatic wet and dry waste and separating system has been developed using microcontroller. As the integrated circuits and microcontroller become more and more accessible and the technology is a fact of today with the improved availability of sensor devices.

Suggested Citation

  • Md Abdullah Al Rakib & Md. Sohel Rana & Md. Moklesur Rahman & Fysol Ibna Abbas, 2021. "Dry and Wet Waste Segregation and Management System," European Journal of Engineering and Technology Research, European Open Science, vol. 6(5), pages 129-133, July.
    • Handle: RePEc:epw:ejeng0:v:6:y:2021:i:5:id:62531
    DOI: 10.24018/ejeng.2021.6.5.2531
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/62531
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/62531/12691
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2021.6.5.2531?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:6:y:2021:i:5:id:62531. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.