Resumen
This research study proposes a new alternative for monitoring and managing maintenance work in neonatal respiratory
equipment at the Edgardo Rebagliati Martins General Hospital, a general health facility in Lima, Peru. This proposal
is based on a Mobile Vision Optical Character Recognition (OCR) algorithm, which identifies the numerical code of
each device in the field through an Android mobile application. This information is then processed using a Weibull
model to determine equipment failure probabilities. Based on the mean times between failures collected from history
information, the system calculates the current failure probabilities for each device. These probabilities are recalculated
every time the equipment is scanned. This paper describes the variables used, obtaining an 88% accuracy when using
the OCR system, thus identifying preventive maintenance needs from device information
equipment at the Edgardo Rebagliati Martins General Hospital, a general health facility in Lima, Peru. This proposal
is based on a Mobile Vision Optical Character Recognition (OCR) algorithm, which identifies the numerical code of
each device in the field through an Android mobile application. This information is then processed using a Weibull
model to determine equipment failure probabilities. Based on the mean times between failures collected from history
information, the system calculates the current failure probabilities for each device. These probabilities are recalculated
every time the equipment is scanned. This paper describes the variables used, obtaining an 88% accuracy when using
the OCR system, thus identifying preventive maintenance needs from device information
| Título traducido de la contribución | Aplicación movil para gestionar la información de mantenimiento preventivo en respiradores neonatales |
|---|---|
| Idioma original | Inglés estadounidense |
| Título de la publicación alojada | Mobile Application Design for Managing Preventive Maintenance Information for Neonatal Respirators |
| Número de páginas | 9 |
| ISBN (versión digital) | 978-1-7923-6130-2 |
| Estado | Publicada - 9 feb. 2022 |
| Evento | 6th North American IEOM Monterrey Conference, November 3-5, 2021: IEOM North American Conference Proceedings - Monterrey, México Duración: 3 nov. 2021 → 5 nov. 2021 http://www.ieomsociety.org/monterrey2020/proceedings/ |
Conferencia
| Conferencia | 6th North American IEOM Monterrey Conference, November 3-5, 2021 |
|---|---|
| País/Territorio | México |
| Ciudad | Monterrey |
| Período | 3/11/21 → 5/11/21 |
| Dirección de internet |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
-
ODS 9: Industria, innovación e infraestructura
Palabras Clave
- Optical Character Recognition
- Weibull Distribution
- Neonatology
- Maintenance Information Management
Proyectos
- 1 Terminado
-
Diseño e implementación de un sistema de control automático basado en motores y sensores para mantener la posición de una plataforma horizontal
Taquía Gutiérrez, J. A. (Investigador principal) & Quiroz Villalobos, L. P. (Investigador adjunto)
1/04/20 → 31/03/21
Proyecto: Investigación
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