Desarrollo de una plataforma SHM adaptable a métodos y técnicas de inspección visual variadas.
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Date
2025
Authors
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Publisher
Universidad de Concepción
Abstract
La inspección visual de activos es un proceso esencial para evaluar la salud estructural de los mismos, asegurando su correcto funcionamiento y prolongando su vida útil. LIND Engineering enfrenta un desafío clave en este ámbito, ya que no dispone de una herramienta centralizada para realizar estas evaluaciones, lo que genera problemas de trazabilidad de la información y altos costos en tiempo. Para resolver estas dificultades, se ha desarrollado un modelo de datos extensible que permite aplicar diferentes métodos y técnicas de inspección visual. Este modelo se ha implementado a través de una plataforma web que integra la evaluación de salud estructural mediante inspecciones y hallazgos, siguiendo la metodología de inspección visual aplicada en LIND. La plataforma ha sido sometida a una prueba de usabilidad, cuyos resultados demostraron que el sistema es altamente eficiente y fácil de usar para la mayoría de los usuarios, cumpliendo su objetivo de optimizar el proceso de inspección visual. Además, de proporcionar gráficos y tablas que muestran el estado de salud de los activos y permitir el registro de hallazgos con información sobre los deterioros detectados, la herramienta constituye un inicio hacia su desarrollo progresivo. Aunque ya cumple con su propósito, está diseñada para evolucionar continuamente, integrando la retroalimentación y las sugerencias de los usuarios.
Esta memoria de título representa un avance significativo en la optimización del monitoreo visual de activos, mejorando la precisión y eficiencia en la detección, registro y evaluación de deterioros estructurales, y abriendo la posibilidad de adaptar el modelo a nuevos métodos de inspección y otros sectores.
Asset visual inspection is an essential process to evaluate their structural health, ensuring its correct functioning and extending its lifespan. LIND engineering faces a key challenge in this area, as it does not have a centralized tool to do these evaluations, generating information tractability problems and high time costs. An extensive data model has been developed, which allows to apply different methods and techniques of visual inspection. This model has been implemented through a web platform that integrates the structural health assessment through inspections and findings, following the visual inspection methodology applied at LIND. The platform has been subject to a usability test whose results showed that the system is highly efficient and easy to use to most of the users, achieving its objective to optimize the visual inspection process. Besides providing graphs and tables showing the asset health status and allowing the record of findings with information of detected deterioration, the tool configures as a beginning through its progressive development. Despite it already achieves its purpose, it is designed to continually evolve, integrating user feedback and suggestions. This thesis represents a significative advance in asset visual monitoring optimization, improving the accuracy and efficacy on the detection, registration and evaluation of structural deterioration, as well as, opening the possibility to adapt the model to new inspection methods and sectors.
Asset visual inspection is an essential process to evaluate their structural health, ensuring its correct functioning and extending its lifespan. LIND engineering faces a key challenge in this area, as it does not have a centralized tool to do these evaluations, generating information tractability problems and high time costs. An extensive data model has been developed, which allows to apply different methods and techniques of visual inspection. This model has been implemented through a web platform that integrates the structural health assessment through inspections and findings, following the visual inspection methodology applied at LIND. The platform has been subject to a usability test whose results showed that the system is highly efficient and easy to use to most of the users, achieving its objective to optimize the visual inspection process. Besides providing graphs and tables showing the asset health status and allowing the record of findings with information of detected deterioration, the tool configures as a beginning through its progressive development. Despite it already achieves its purpose, it is designed to continually evolve, integrating user feedback and suggestions. This thesis represents a significative advance in asset visual monitoring optimization, improving the accuracy and efficacy on the detection, registration and evaluation of structural deterioration, as well as, opening the possibility to adapt the model to new inspection methods and sectors.
Description
Tesis presentada para optar al título de Ingeniero/a Civil Informático/a.
Keywords
Monitoreo de salud estructural, Pruebas no destructivas, Aplicaciones web