HYGEIA – AN AUTOMATED DISINFECTION BOOTH USING FAR UVC
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by
EPIFELWARD NIÑO O. AMORA,
KENNERY V. ROMERO,
RENNAN C. AMOGUIS,
JONAS E. OLANDRIA,
EVANGELINE N. OLANDRIA,
ALMA MAE J. BERNALES,
PAMELA JOY B. ROMERO
2022
Abstract
<em>This paper addressed the current gaps of the health and safety protocols followed by the health workers and other front-line workers in conducting disinfection of self and personal protective equipment (PPE) after using it. The current disinfection system disinfects surfaces, water, air, materials, utensils, rooms, compartments, foods and other already came in various ways. Some of these include gas disinfecting, alcohol, chlorine, bleach, detergents, steams, hot water, hot gas, chemicals, UV rays and more in which according to them, still poses risk among health workers and front-line workers not during the duty but on the doping and donning of the PPE. The researchers used the Agile Scrum methodology of software development; thus, user stories were collected during stakeholders' meeting. The meeting includes the researchers, RHU personnel and the front-liners. This allows all the concerned individuals and agencies to express their concern and needs during the donning and doffing process. After the meeting, the researchers decided to develop Hygeia, a system of interconnected electronic devices that aims to automate the disinfection of booths using UVC light as disinfectant. It used the concept of IOT which Arduino Microcontroller, Raspberry Pi, Sensors, Motors, Relay, Switches, Pumps and Water Valves were used to deliver its specified functions. Daily standup meetings were conducted in order to monitor the progress of the project and if it meets the needs of the client before delivering the fully potential product. </em> <em>Keywords: Micro-controllers, Internet of Things, Ultraviolet C, CoVid Response</em>
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Date 2022-07-09
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