Aplicación del internet de las Cosas (IoT) en la prevención de accidentes laborales dentro del contexto de la industria 4.0.
| dc.contributor.advisor | Guzman Rojas, Carlos Andres | |
| dc.contributor.author | Puerto Becerra, Juan Manuel | |
| dc.contributor.author | Suárez Benavides, Jóse Manuel | |
| dc.contributor.author | Carrillo Avella, Sergio Alfonso | |
| dc.contributor.corporatename | Universidad Santo Tomas | |
| dc.date.accessioned | 2026-09-11T21:05:13Z | |
| dc.date.available | 2026-09-11T21:05:13Z | |
| dc.date.issued | 2026-09-11 | |
| dc.description | La presente monografía analiza la contribución del Internet de las Cosas (IoT) a la prevención de accidentes laborales en entornos industriales bajo el marco de la Industria 4.0. Su objetivo principal fue identificar las principales aplicaciones del IoT en Seguridad y Salud en el Trabajo, establecer sus beneficios preventivos y reconocer las limitaciones y desafíos asociados con su implementación. Para ello, se desarrolló una revisión documental de literatura científica publicada entre 2023 y 2026, consultada principalmente en bases de datos como IEEE Xplore, Scopus y ScienceDirect. La información seleccionada fue organizada y analizada mediante matrices temáticas orientadas a aplicaciones, sectores, beneficios y limitaciones. Los resultados evidenciaron que el IoT se aplica principalmente mediante sensores inteligentes, monitoreo en tiempo real, mantenimiento predictivo, sistemas de alerta y dispositivos portátiles o EPP inteligentes. Estas tecnologías favorecen la detección temprana de condiciones peligrosas, el monitoreo remoto y la toma de decisiones basada en datos, con especial presencia en sectores como manufactura, construcción y minería. No obstante, se identificaron limitaciones relacionadas con la complejidad técnica, infraestructura, calidad y precisión de los datos, interoperabilidad, costos, conectividad, ciberseguridad, capacitación y aceptación de los trabajadores. La discusión permitió establecer que la efectividad del IoT no depende únicamente de la tecnología, sino de su integración con la gestión preventiva, los procesos organizacionales y el SG-SST. Se concluye que el IoT puede fortalecer la prevención de accidentes al favorecer una gestión más anticipada, conectada y basada en información, siempre que su implementación considere aspectos técnicos, humanos, organizacionales y de protección de datos. | |
| dc.description.abstract | This monograph analyzes the contribution of the Internet of Things (IoT) to the prevention of occupational accidents in industrial environments within the framework of Industry 4.0. Its main objective was to identify the principal IoT applications in Occupational Safety and Health, determine their preventive benefits, and recognize the limitations and challenges associated with their implementation. A documentary review of scientific literature published between 2023 and 2026 was conducted, mainly using databases such as IEEE Xplore, Scopus, and ScienceDirect. The selected information was organized and analyzed through thematic matrices focused on applications, sectors, benefits, and limitations. The results showed that IoT is mainly applied through smart sensors, real-time monitoring, predictive maintenance, alert systems, wearable devices, and smart personal protective equipment. These technologies support the early detection of hazardous conditions, remote monitoring, and data-driven decision-making, with particular relevance in manufacturing, construction, and mining. However, several limitations were identified, including technical complexity, infrastructure constraints, data quality and sensor accuracy, interoperability, implementation costs, connectivity, cybersecurity, training, and worker acceptance. The discussion showed that IoT effectiveness does not depend solely on technology, but also on its integration with preventive management, organizational processes, and Occupational Safety and Health Management Systems. It is concluded that IoT can strengthen accident prevention by promoting a more proactive, connected, and information-based approach, provided that technical, human, organizational, and data protection factors are properly addressed. | |
| dc.description.degreelevel | Especialización | spa |
| dc.description.degreename | Especialista en Seguridad y Salud en el Trabajo | spa |
| dc.description.domain | https://www.ustabuca.edu.co/ | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Puerto Becerra, J.M. Suárez Benavides, J.M. y Carrillo Avella, S.A. (2026) | |
| dc.identifier.instname | instname:Universidad Santo Tomás | spa |
| dc.identifier.reponame | reponame:Repositorio Institucional Universidad Santo Tomás | spa |
| dc.identifier.repourl | repourl:https://repository.usta.edu.co | spa |
| dc.identifier.uri | http://hdl.handle.net/11634/74130 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Santo Tomás | spa |
| dc.publisher.branch | CRAI-USTA Bucaramanga | |
| dc.publisher.faculty | Facultad de Ingeniería Industrial | spa |
| dc.publisher.program | Especialización Seguridad y Salud en el Trabajo | spa |
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| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.subject.keyword | Iot | |
| dc.subject.keyword | Sst | |
| dc.subject.keyword | Advantages | |
| dc.subject.keyword | Applications | |
| dc.subject.keyword | Limitations | |
| dc.subject.proposal | Iot | |
| dc.subject.proposal | Sst | |
| dc.subject.proposal | Limitaciones | |
| dc.subject.proposal | Ventajas | |
| dc.subject.proposal | Aplicaciones | |
| dc.title | Aplicación del internet de las Cosas (IoT) en la prevención de accidentes laborales dentro del contexto de la industria 4.0. | |
| dc.type | bachelor thesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| dc.type.drive | info:eu-repo/semantics/bachelorThesis | |
| dc.type.local | Trabajo de grado | spa |
| dc.type.version | info:eu-repo/semantics/acceptedVersion |
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