Design and Simulation of an Automated Sewage Well Desilting Machine with the implementation of IoT
<p>This paper offers a solution to the hazardous and humiliating task of manually desilting <br>sewage wells, a job that exposes workers to perilous gases such as hydrogen sulphide, methane, and <br>ammonia substances that can lead to severe health risks, including suffocation and death. To combat <br>these dangers, the paper proposes an automated desilting machine featuring a grab bucket system <br>that eradicates the need for human entry into the sewage wells. This automation not only enhances <br>safety but also increases efficiency and reduces costs in the long run. The system is designed for ease <br>of use, with minimal operational and maintenance requirements, and incorporates IoT-based <br>monitoring to ensure optimal desilting performance. Utilizing advanced simulation tools like <br>SewerGEMS and MATLAB, the machine’s design is perfected for maximum effectiveness. The <br>deployment of this technology promises significant enhancements in public health, cost savings, and <br>the eradication of the degrading practice of manual scavenging, making sewage maintenance safer <br>and more respectful of human dignity. </p>
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-06
- DOI
- https://doi.org/10.5281/zenodo.14979860
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00