Envía por correo este artículo 
Review de Sensores en la Seguridad Industrial
Resumen
El propósito de este artículo está enfocado en sistematizar el conocimiento en el campo de la seguridad, usando los sensores industriales para evaluar la relevancia de su aplicación en las diferentes industrias. La seguridad industrial es de vital importancia en las organizaciones, debido al uso diario de: herramientas, máquinas y equipos, creando un entorno de trabajo donde se evalúan riesgos y se identifican peligros a los cuales están expuestos, constantemente los trabajadores. Por tal motivo, las empresas dedicadas a la seguridad laboral, consideran crucial el uso de componentes electrónicos como los sensores que funcionan al igual que dispositivos de alerta con el fin de prevenir accidentes ocupacionales a corto, mediano o largo plazo. Es por eso por lo que, se discute sobre los tipos de sensores, aplicaciones en las que intervienen, ámbitos y costos que conllevan su implementación. En este contexto, el documento aborda un análisis exhaustivo de los sensores en la seguridad aplicados en el ámbito laboral para generar un entorno de salud y bienestar en el trabajo. Finalmente, se analiza los principales desafíos que se deben plantear para permitir y respaldar el uso de dispositivos en la seguridad laboral industrial.
Palabras clave
Referencias
S. Kiran and G. Gupta, "A pragmatic analysis on wireless sensors and actuador technologies for security in Internet of Things," International journal of Future generation Communication and Networking, vol. 13, no. 4, p. 9, 2020.
R. Poweers, M. Etezadi-Amoli, E. Arnold, S. Kianian, M. Gibiansky, D. Trietsch, A. Singh Alvarado, J. Kretlow, A. Ullal, S. Brillman, N. Huang, P. Lin, H. Pham and A. Ullal, "Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson’s disease," Science Translational Medicine, vol. 13, no. 579, 2021.
Y.-R. Ding, C.-H. Xue, Q.-Q. Fan, L.-L. Zhao, Q.-Q. Tian, X.-J. Guo, J. Zhang, S.-T. Jia and Q.-F. An, "Fabrication of superhydrophobic conductive film at air/water interface for flexible and wearable sensors," ELSEVIER, vol. 404, no. 126489, 2021.
V. Deshpande, L. George and H. Badis, "PulSec: Secure Element based framework for sensors anomaly detection in Industry 4.0," ELSEVIER, vol. 52, no. 13, pp. 1204-1209, 2019.
J. Lee, B. Bagheri and H.-A. Kao, "A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems," ELSEVIER, vol. 3, pp. 18-23, 2015.
VI. C. V. S. D. J. P. G. B. S. V. Hassija, "‘A Survey on IoT Security: Application Areas, Security Threats, and," IEEE Access, vol. VII, p. 82721–82743, 2019.
A. M. Nivia Vargas and I. Jaramillo Jaramillo, "The sensor industry in Colombia," Tecnura, vol. 22, no. 57, pp. 44-54, 2017.
M. Quiñones-Cuenca, V. Gonzales-Jaramillo, R. Torres and M. Jumbo, "Sistema de monitoreo de variables medioambientales usando una red de sensores inalámbricos y plataformas de Internet de las Cosas," Enforque UTE, vol. 7, no. 1, pp. 329-343, 2017.
A. Cama, E. De la Hoz and D. Cama, "La red de sensores inalámbricos y el internet de las cosas," INGE CUC, vol. 8, no. 1, pp. 163-172, 2012.
A. P. Quiñones, D. A. Godoy and E. O. Sosa, "Redes inalámbricas de sensores: Una experiencia en al industria del té," Repositorio institucional de la UNLP, pp. 161-171, 2013.
Q. Wu, Y. Qiao, R. Guo, S. Naveed, T. Hirtz, X. Li, Y. Fu, Y. Wei, G. Deng, Y. Yi, X. Wu and T.-L. Ren, "Triode-Mimicking Graphene Pressure Sensor with Positive Resistance Variation for Physiology and Motion Monitoring," ACS Publications. Most Trusted. Most Cited. Most Read, vol. 10, p. 10104–10114, 2020.
V. K. Rai, "Temperature sensors and optical sensors," SpringerLink, vol. 2, no. 88, p. 297–303, 2007.
K. Grantz, D. Cumming, S. Zimmer and D. Galloway, "Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys," Scientific Reports, vol. 11, no. 2319, 2021.
B. Zhi and C. Lu, "Humidity Sensors: A Review of Materials and Mechanisms," Ingenta Connect, vol. 22, pp. 274-295, 2005.
J.-X. Shi, X.-W. Lei and T. Natsuki, "Review on Carbon Nanomaterials-Based Nano-Mass and Nano-Force Sensors by Theoretical Analysis of Vibration Behavior," MDPI Open Access Journals, vol. 5, p. 1907, 2021.
F. Ejeian, S. Azadi, A. Razmjou, Y. Orooji, A. Kottapalli, W. Ebrahimi and M. Asadnia, "Design and applications of MEMS flow sensors: A review," Elsevier, vol. 295, pp. 483-502, 2019.
C. Wang, L. Yin, L. Zhang, D. Xiang and R. Gao, "Metal Oxide Gas Sensors: Sensitivity and Influencing Factors," MDPI Open Access Journals, vol. 3, no. 10, pp. 2088-2106, 2010.
A. Repelianto and N. Kasai, "The Improvement of Flaw Detection by the Configuration of Uniform Eddy Current Probes," MDPI Open Access Journals, vol. 2, no. 19, p. 397, 2018.
L. Gómez Robledo, N. López-Ruíz, M. Melgosa, A. Palma and M. Sánchez Marañón, "Using the mobile phone as Munsell soil-colour sensor: An experiment under controlled illumination conditions," Elsevier, vol. 99, pp. 200-208, 2014.
N. Silberman and R. Fergus, "Indoor scene segmentation using a structured light sensor," IEEE Xplore logo , pp. 601-608, 2011.
M. Borghetti, E. Cantú, E. Sardini and M. Serpelloni, "Future Sensors for Smart Objects by Printing Technologies in Industry 4.0 Scenario," MDPI Open Access Journals, vol. 22, no. 5916, 2020.
M. Haseeb, H. I. Hussain, B. Slusarczyk and K. Jermsittiparsert, "Industry 4.0: A Solution towards Technology Challenges of Sustainable Business Performance," MDPI Open Access Journals, vol. 5, no. 154, 2019.
J. Wei, J. Xie, P. Zhang, Z. Zou, H. Ping, W. Wang, H. Xie, J. Z. Shen, L. Lei and Z. Fu, "Bioinspired 3D Printable, Self-Healable, and Stretchable Hydrogels with Multiple Conductivities for Skin-like Wearable Strain Sensors," ACS Publications. Most Trusted. Most Cited. Most Read, vol. 2, p. 2952–2960, 2021.
S. Wang, J. Wan, D. Zhang, C. Zhang and D. Li, "Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination," Elsevier, vol. 101, pp. 158-168, 2016.
A. Hayek, S. Telawi, J. Börcsök, R. A. Zeid Daou and N. Halabi, "Smart wearable system for safety-related medical IoT application: case of epileptic patient working in industrial environment," Springer Nature, p. 3, 2019.
D. Podgórski, K. Majchrzycka, A. Dÿbrowska, G. Gralewicz and M. Okrasa, "Towards a conceptual framework of OSH risk management in smart working environments based on smart PPE, ambient intelligence and the Internet of Things technologies," International Journal of Occupational Safety and Ergonomics, vol. 22, p. 8, 2016.
E. Svertoka, S. Saafi, A. Rusu-Casandra, R. Burget, I. Marghescu, J. Hosek and A. Ometov, "Wearables for IndustrialWork Safety: A Survey," EL SEVIER, vol. 21, no. 11, pp. 5-6, 2021.
Z. Wang, P. Zeng, L. Kong, D. Li and X. Jin, "Node-Identification-Based Secure Time Synchronization in Industrial Wireless Sensor Networks," EL SEVIER, vol. 18, no. 8, p. 12, 2018.
F. Mouson, M. Yildririm and J. Twomey, "Operational methods for minimization of energy consumption of manufacturing equipment," Taylor and Francis Online, vol. 45, pp. 4247-4271 , 2007.
A. Tyukon, A. Ushakov, M. Shcherbakov, A. rebels and V. Kamawv, "Digital Signage Based Building Energy Management System: Solution Concept," World Applied Sciences Journal 24, pp. 184-188, 2013.
P. V. Botvinkin, V. Kamaev, I. Nefedova, A. Finogeev, A. Finogeev and E. Finogeev, "Analysis, classification and detection methods of attacks via wireless sensor networks in SCADA systems," Cornell University, vol. 1, 2014.
K. Sekaran, R. Vikram, B. Chowdar and U. Raju, "Combating Distributed Denial of Service Attacks Using Load Balanced Hadoop Clustering in Cloud Computing Environment," ACM Journals, p. 77–81, 2018.
A. Finogeev and A. Finogeev, "Information attacks and security in wireless sensor networks of industrial SCADA systems," ScienceDirect, vol. 5, pp. 6-16, 2017.
V. Quintero-Rosas, D. Saldaña Higareda and H. Villareal Rodríguez, "Control de seguridad no invasivo," Redalyc, vol. XVIII, no. 1, p. 8, 2015.
B. Muñoz, G. A. Morales and V. F. Miramá, "Aplicaión de una red de sensores inalámbricos en un ambiente de trabajo industrial," Revista espacios, vol. 41, p. 16, 2020.
A. Cruz Salguero , Artist, Análisis de factibilidad de la implementación de un modelo de casco inteligente en trabajos de galerías y túneles. [Art]. Universidad Internacional SEK, 2018.
Á. R. S. S. M. J. V. A. O. Erazo Moreta, "Monitorización de gases contaminantes en ambientes cerrados usando WSN para la toma de acciones preventivas," Universidad y Sociedad, vol. 12, no. 3, pp. 116-122, 2020.
G. N. Aguilera Vidal, . F. L. Gallegos Ramírez and A. M. Rea Freire, "Industrial Safety Smart Helmet for the Prevention of Accidents and," InGenio Journal, vol. 1, no. 4, pp. 2-8, 2018.
C. Alcaraz, R. Roman, P. Najera and J. Lopez, "Security of industrial sensor network-based remote substations in the context of the Internet of things," ScienceDirect, vol. 11, p. 14, 2012.
F. Dian, R. Vahindnia and A. Rahmati, Wearables e Internet de las cosas (IoT), aplicaciones, oportunidades y desafíos, Estados Unidos: Melkas, 2021.
OPTALERT, "Eagle Industrial," 27 Mayo 2021. [Online]. Available: https://www.optalert.com/explore-products/eagle-industrial/. [Accessed 19 Mayo 2022].
QOOWEAR, "Qoowear Thermal Wear With Ai," 2019. [Online]. Available: http://qoowear.com. [Accessed 19 Mayo 2022].
LEAVO, "LEAVO EXOSKELETONS," 12 Agosto 2019. [Online]. Available: https://www.laevo-exoskeletons.com/en/laevo-v2. [Accessed 19 Mayo 2022].
M. Menolotto, D. Sokratis Komaris, S. Tedesco and B. O’Flynn, "Motion Capture Technology in Industrial," SENSORS, vol. 2, no. 23, pp. 1-22, 2020.
p. Kah, M. Shrestha, E. Hiltunen and J. Martikainen, "Robotic arc welding sensors," International Journal of Mechanical and, vol. 5, no. 10, pp. 2-15, 2015.
L. Huang, L. Ding, J. Zhou, S. Chen, F. Chen, C. Zhao, J. Xu, H. Wenjun , J. Ji, H. Xu and G. Liu, "One-step rapid quantification of SARS-CoV-2 virus particles via low-cost nanoplasmonic sensors in generic microplate reader and point-of-care device.," ELSEVIER, vol. 171, no. 112685, 2021.
S. Lee, A. Reuveny, J. Reeder, S. Lee, H. Jin, Q. Liu, T. Yokota, T. Sekitani, T. Isoyama, Y. Abe, Z. Suo and T. Someya, "A transparent bending-insensitive pressure sensor," Nature Nanotechnology, vol. 11, pp. 472-478, 2016.
H.-Y. Chen, A. Chen and C. Chen, "Investigation of the Impact of Infrared Sensors on Core Body Temperature Monitoring by Comparing Measurement Sites," MDPI Open Access Journals, vol. 10, p. 2885, 2020.
Y. Du, G. Yu, X. Dai, X. Wang, B. Yao and J. Kong, "Highly Stretchable, Self-Healable, Ultrasensitive Strain and Proximity Sensors Based on Skin-Inspired Conductive Film for Human Motion Monitoring," ACS Publications. Most Trusted. Most Cited. Most Read, vol. 12, no. 46, p. 51987–51998, 2020.
p. Kah, M. Shrestha, E. Hiltunen and J. Martikainen, "Robotic arc welding sensors and," International Journal of Mechanical and, vol. 5, no. 10, pp. 2-15, 2015.
DOI: https://doi.org/10.23857/pc.v7i7.4287
Enlaces de Referencia
- Por el momento, no existen enlaces de referencia
Polo del Conocimiento
Revista Científico-Académica Multidisciplinaria
ISSN: 2550-682X
Casa Editora del Polo
Manta - Ecuador
Dirección: Ciudadela El Palmar, II Etapa, Manta - Manabí - Ecuador.
Código Postal: 130801
Teléfonos: 056051775/0991871420
Email: polodelconocimientorevista@gmail.com / director@polodelconocimiento.com
URL: https://www.polodelconocimiento.com/
