Document
Metadata
Title
Development of Automatic All-In-Floor Cleaning Machine (AAFCM)
Abstract
The innovation of household cleaning robots has left the world in awe, as the convergence of technology and cleaning took the global market by surprise with its uprising potential. The current study explores the abilities of cleaning machines in eliminating various dirt on a diverse set of floor types and their implications on day-to- day life due to their practicality and versatility when it comes to cleaning. The researchers aimed to develop a cleaning machine, namely AAFCM, that has the capability to simultaneously clean wet and dry environments. Considering rising environmental concerns and a growing need for sustainable solutions, the AAFCM emerges as a timely innovation meant to promote eco-friendly cleaning techniques. The study makes use of cross-sectional descriptive development to procure its data sets for statistical testing focusing on evaluations of the AAFCM, through a Likert scale questionnaire ranging from 1 - strongly agree to 4 - strongly disagree, by employing a purposive sampling technique to determine the participants (N = 10) which evaluated and tested the AAFCM, with a hypothesis that there are no significant differences in their evaluation of the AAFCM. Results indicate that there are complications in the development of an AAFCM due to the properties of certain floor types and dirt types. Consequently, statistical results show that there are no significant differences between the evaluations of the participants, namely experts and end-users, concluding that the overall development of the AAFCM to be acceptable by both parties. The implications of this study could be used to further innovate simultaneous cleaning machines, capable of cleaning in both wet and dry environments by building upon the results and gaps of this research.
Keywords: cleaning machine, floor type, dirt type, simultaneous cleaning,
AAFCM.
Author(s)
Ian Miguel Y. Uson | Sophia Casey M. Ong | Julien Jedrek D. Alip | Jico R. Aruelo | Kyle Benedict S. Gomez | Railey C. Onagan | Eymee Sofya T. Galang | Sabria Misha C. Nongui | Marry Jasmin P. Salonga
Track/Strand
STEM
Location
IMC-EXT
Date
May 4, 2024
Identifier
SRS U86 2024