{"id":34173,"date":"2026-03-27T16:45:10","date_gmt":"2026-03-27T16:45:10","guid":{"rendered":"https:\/\/baghouse.com\/?p=34173"},"modified":"2026-04-30T13:04:36","modified_gmt":"2026-04-30T13:04:36","slug":"questions-answers-about-iot-sensors-and-remote-monitoring","status":"publish","type":"post","link":"https:\/\/baghouse.com\/es\/questions-answers-about-iot-sensors-and-remote-monitoring\/","title":{"rendered":"Preguntas y respuestas sobre sensores IoT y monitoreo remoto"},"content":{"rendered":"
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Este art\u00edculo resume cinco preguntas de la audiencia que se respondieron en nuestro webinar Mejorando el ROI con sensores inteligentes e IoT industrial<\/a><\/strong>, con la participaci\u00f3n de Eric Schummer, CEO de Senzary, y Matt Coughlin, ingeniero y propietario de Baghouse.com<\/strong>, y las convierte en una gu\u00eda pr\u00e1ctica para llevar esta tecnolog\u00eda a sus sistemas de colecci\u00f3n de polvo. \u00a1Pod\u00e9s configurar los subt\u00edtulos de los videos en espa\u00f1ol para poder entender mejor las respuestas!<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u2014 \"\u00bfExisten herramientas de software para predecir posibles fallas en redes IoT?\"<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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S\u00ed. Existen herramientas de software para predecir mantenimiento y fallas, y este es un factor muy importante para muchos clientes. Estas herramientas cubren distintos tipos de equipos (vibratorios, rotativos, transportadores, elevadores, bombas y motores, hornos, y m\u00e1s) monitoreando una variedad de se\u00f1ales como concentraciones de gases (m\u00e1s de 20 gases), inclinaciones, vibraciones, presiones e incluso part\u00edculas met\u00e1licas en el aceite.<\/p>

Al analizar estos datos a lo largo del tiempo, ayudan a revelar c\u00f3mo se degrada un sistema, lo que permite tomar decisiones de mantenimiento predictivo, ya sea de forma manual o automatizada.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u2014 \"\u00bfC\u00f3mo mantienen los sensores y puertos de entrada el tiempo de actividad?\"<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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LoRaWAN es un protocolo habilitado como servicio que asegura un tiempo de actividad s\u00f3lido. El sistema monitorea continuamente cada paquete en tiempo real y coordina entre sensores y puertos de entrada las 24 horas del d\u00eda, los 7 d\u00edas de la semana, ajust\u00e1ndose a la distancia, el ruido, la calidad y las condiciones de la se\u00f1al. Los sensores est\u00e1n dise\u00f1ados para ahorrar bater\u00eda y volver a unirse a la red despu\u00e9s de interrupciones, con transmisiones normalmente menores a un segundo debido al tama\u00f1o peque\u00f1o de la carga de datos.<\/p>

La plataforma utiliza m\u00faltiples puertos de entrada y selecciona el mejor para cada transmisi\u00f3n. Herramientas de IA monitorean el conteo de paquetes, los paquetes faltantes y la degradaci\u00f3n de la se\u00f1al para identificar problemas de forma temprana, como la desconexi\u00f3n de un puerto, apoyando as\u00ed el mantenimiento proactivo y el tiempo de actividad.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u2014 \"\u00bfC\u00f3mo medir polvo y ruido en plantas de concreto?\"<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Los sensores de polvo<\/a><\/strong> miden tanto la cantidad de part\u00edculas como la masa de part\u00edculas, y ambos se expresan en escalas relacionadas con m\u00e9tricas importantes para la salud. El conteo de part\u00edculas puede usar mediciones muy finas (hasta escalas peque\u00f1as similares a PPM en algunos contextos, por ejemplo, centros de datos), mientras que las referencias regulatorias m\u00e1s comunes usan equivalentes de 2.5 y 10 micras. Tambi\u00e9n se monitorea la concentraci\u00f3n de masa de part\u00edculas por metro c\u00fabico, utilizando l\u00e1seres dispersos desde sensores compactos y port\u00e1tiles que pueden colocarse en distintos puntos.<\/p>

El ruido se mide como niveles de sonido basados en presi\u00f3n de aire (decibeles) para fines regulatorios y de exposici\u00f3n de los trabajadores, y los rangos de ultrasonido (0\u201380 kHz) pueden utilizarse para monitorear equipos como transportadores y motores con fines de mantenimiento predictivo. Tambi\u00e9n sugierimos evaluar los fundamentos del sistema de colecci\u00f3n de polvo (dimensionamiento, dise\u00f1o de campanas, velocidades de captura) para maximizar la efectividad del monitoreo con IoT.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u2014 \"\u00bfCu\u00e1les son los conceptos b\u00e1sicos a tener en cuenta antes de implementar IoT?\"<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Antes de implementar IoT, primero deben establecerse bases s\u00f3lidas en la colecci\u00f3n de polvo. Esto incluye tener sistemas correctamente dimensionados, con un dise\u00f1o adecuado de campanas y velocidades de captura apropiadas.<\/p>

Una vez que estos fundamentos est\u00e1n en su lugar y funcionando, los sensores IoT y las herramientas de mantenimiento predictivo<\/a><\/strong> pueden proporcionar monitoreo y optimizaci\u00f3n realmente \u00fatiles, en lugar de estar reaccionando a los problemas despu\u00e9s de que ocurren.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u2014 \"\u00bfLos sensores pueden soportar calor y polvo?\"<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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S\u00ed. Los sensores se describen como equipos electr\u00f3nicos protegidos con clasificaci\u00f3n IP67, lo que significa que son resistentes al ingreso de agua y polvo y adecuados para ambientes severos. Hay ejemplos reales de sensores operando en condiciones extremas, incluyendo 400\u2013500 grados Celsius (o Fahrenheit) en la industria del acero, lo que demuestra que estos dispositivos pueden funcionar de manera confiable en entornos industriales calientes y polvorientos.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Cada instalaci\u00f3n es diferente, y las necesidades de monitoreo remoto de sus sistemas pueden variar mucho seg\u00fan su polvo, equipo, distribuci\u00f3n de planta y exigencias de producci\u00f3n.<\/h3>

Si no viste aqu\u00ed tu pregunta (o si tienes un problema espec\u00edfico en su sistema) no dudes en contactarte con nosotros. Nuestro equipo siempre est\u00e1 disponible para ayudarte a encontrar soluciones pr\u00e1cticas y efectivas, y para orientarte sobre cualquier reto que puedas estar enfrentando.<\/strong><\/p>

Con gusto responderemos tus preguntas y te apoyaremos para mejorar la seguridad de su sistema de colecci\u00f3n de polvo.<\/p>

\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tEnv\u00edanos tu pregunta aqu\u00ed.<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

This article distills five expert questions from the Boosting ROI with Smart Sensors & Industrial IoT Webinar, featuring Eric Schummer \u2013 CEO of Senzary\u00a0and Matt Coughlin, Engineer and Owner of Baghouse.com, into practical guidance for bringing this technology to your dust collection systems. \u2014 “Are there software tools for predicting possible failures in IoT networks?” […]<\/p>\n","protected":false},"author":12,"featured_media":34174,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[77,45,37],"tags":[1571,504,1542,1563,1549,1551,1565,1541,1553,173,1557,1546,1566,1536,1560,1540,1532,1570,1567,1561,1564,1555,230,1534,1568,1562,227,1539,608,1552,1543,1545,1548,1547,75,224,1559,1538,1550,1569,1535,1537,1544,1533,1558,1554,1531,1556],"class_list":["post-34173","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-baghouse-faqs","category-dust-collection-maintenance-operation-optimization","category-pollution-emission-regulation","tag-ai-analytics","tag-air-quality","tag-battery-powered-sensors","tag-capture-velocity","tag-cement-plant","tag-concrete-plant","tag-data-analytics","tag-data-integrity","tag-decibels","tag-dust-collection","tag-dust-measurement","tag-dust-sensors","tag-edge-computing","tag-failure-prediction","tag-gas-sensing","tag-gateway-redundancy","tag-gateways","tag-harsh-environments","tag-high-temperature-environments","tag-hood-design","tag-iiot","tag-inclinometer","tag-industrial-iot","tag-iot","tag-ip67","tag-leak-detection","tag-lorawan","tag-machine-learning","tag-maintenance-optimization","tag-noise-measurement","tag-packet-loss","tag-particle-counts","tag-particle-mass-concentration","tag-pm10","tag-pm2-5","tag-predictive-maintenance","tag-pressure-sensing","tag-real-time-monitoring","tag-respirable-dust","tag-rugged-sensors","tag-sensors","tag-service-enabled-protocol","tag-signal-degradation","tag-software-tools","tag-tilt-sensor","tag-ultrasound-sensing","tag-uptime","tag-vibration-monitoring"],"acf":[],"yoast_head":"\nQuestions & Answers About IoT Sensors and Remote Monitoring - 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