0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Food & Water Sign in to save

Prototipo automático para la recolección de residuos flotantes y limpieza de un río utilizando una cinta transportadora

Encuentro Internacional de Educación en Ingeniería 2023 Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Juan Santiago Pedreros Pedreros, Luis David Rubio Barrios, Johan Sebastián Vargas Gutiérrez

Summary

This engineering project describes the design and development of a robotic floating waste collector for the Bogotá and Magdalena rivers in Colombia, using a conveyor belt system to remove solid waste from the water surface. While the robot targets plastic and solid waste collection, the paper does not directly address microplastic research.

Las herramientas tecnológicas que pueden desplegarse desde la ingeniería de sistemas, hoy en día, permiten brindar un impacto de mitigación positiva a un problema de la sociedad en un contexto determinado, de esta forma, son criteriosas de ser efectuadas y analizadas. Por lo cual, llevando las tecnologías de información y desarrollo a una investigación y a su aplicación en una problemática real, como la contaminación y de cómo afecta directamente a las personas cercanas a esta, se pueden llevar a cabo procesos que permitan el análisis y desarrollo de soluciones de impacten benéficamente en la sociedad. Para este proyecto se determina las variables, causas, efectos y enfoques respectivos a la problemática de la acumulación de residuos sólidos y a la contaminación que estos generan en el río Bogotá y el Magdalena. Por lo anterior, se realiza una investigación de carácter mixta con dos metodologías, una para la recolección de información y otra, para el diseño y desarrollo de una herramienta basada en la robótica, desglosando la solución, en este caso, en el diseño, desarrollo, ensamblado y despliegue de un robot recolector de residuos sólidos flotantes en el tramo de la desembocadura del río Bogotá, planteado para el 2023.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Removing Plastic Waste from Rivers: A Prototype-Scale Experimental Study on a Novel River-Cleaning Concept

Researchers tested a prototype-scale river-cleaning system designed to capture plastic waste across the full width and depth of a river. The study demonstrated that the novel approach can effectively intercept floating and submerged plastic debris, addressing the critical role that rivers play as transport pathways carrying mismanaged plastic waste from land to oceans.

Article Tier 2

Towards Accessible Aquatic Cleanup: A Low-Cost Solution for Floating Waste Extraction

Researchers designed and tested a low-cost autonomous floating waste extractor using a conveyor mechanism to capture lightweight surface pollutants including microplastics, demonstrating high efficiency in capturing debris and offering an affordable solution for resource-constrained settings.

Article Tier 2

Development of Garbage Collecting Robot for Marine Microplastics

Researchers designed and developed an autonomous cleaning robot for collecting marine microplastics scattered on beaches, using a conveyor belt and tray system to mechanically gather and retain small plastic particles. The study addresses the practical difficulty of manually collecting dispersed microplastics and demonstrates the robot's configuration and operational concept for beach remediation.

Article Tier 2

Development of Garbage Collecting Robot for Marine Microplastics

Researchers developed a garbage-collecting robot designed to remove plastic debris from coastal areas before it degrades into microplastics, addressing the logistical challenge of cleaning extensive shorelines with minimal human labor and resources.

Article Tier 2

An automated solid waste detection using the optimized YOLO model for riverine management

Researchers developed an optimized YOLO-based deep learning model for automated detection of solid waste in rivers, achieving high accuracy in identifying floating debris to support autonomous robotic riverine cleanup systems.

Share this paper