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Funcionamiento integral con la Plataforma Amadeus.

Aliados

Hardware

Proveemos de una visión completa sobre el estado de las máquinas utilizando visualización de datos (historial de gráficas, alarmas, tendencias). Ver ejemplo

Red IoT autogenerada, de fácil conexión con la red local.

Para cada problema, una solución

Instalación poco intrusiva, no requiere de configuración en sitio.

Prevención inteligente

Nuestra plataforma incluye interpretación de datos por algoritmos de Machine Learning las cuales ayudan a encontrar la causa real de un potencial fallo de máquina.

Mediciones automáticas y en tiempo real del estado de sus máquinas.

Pongámonos en contacto

Sistema adaptable a distintos sensores, se ajusta a las necesidades de su planta.

Los modelos de mantenimiento preventivo se quedan rezagados en determinar las causas de los fallos de las máquinas.

Visualización de datos

Como Funciona

Acceso remoto en tiempo real

Soluciones existentes de mantenimiento generan resultados difíciles de interpretar, requiriendo análisis complicados para el encargado.

Incorporamos infraestructura IoT a nuestra plataforma, otorgando información centralizada, accesible desde cualquier momento y lugar.

Interfaz web intuitiva, accesible desde cualquier lugar del mundo.

SABER MÁS

La infraestructura de alcance local dificulta el acceso continuo a los datos sobre el estado de la máquina.

Amadeus

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Aplicación SaaS por suscripción 100% basada en la nube.

Plataforma

Contáctenos

Servicio de análisis de datos por machine learning que incluye: gráficas, alarmas, tendencias.

© 2020 Todos los derechos reservados Liberty Mechatronics

Generación de reportes sobre el estado de las máquinas.

Un dashboard de fácil uso para todo el análisis de sus datos.

Go to Amadeus

Somos la plataforma tecnológica que incorpora IoT y Data Analytics a su mantenimiento industrial

Somos la plataforma tecnológica que incorpora IoT y Data Analytics a su mantenimiento industrial

Como Funciona

Prevención inteligente

Proveemos de una visión completa sobre el estado de las máquinas utilizando visualización de datos (historial de gráficas, alarmas, tendencias). Ver ejemplo

Características

Alimentación de 5 V DC, incluye adaptador para tomacorrientes de 110 V AC. La comunicación con los módulos no requiere configuración. Acceso inmediato a red local mediante Ethernet cableado. En caso de conexión Wi-Fi, capacidad de configuración simple por una interfaz de fácil acceso con cualquier PC. El módulo posee una memoria interna integrada, con el fin de generar copias de seguridad de los datos de medición en caso de fallos en la conectividad local.

Tamaño pequeño de módulos de comunicación. Red autogenerada y autosostenible, si un módulo falla, la red continúa funcionando. Múltiples protocolos de comunicación con sensores: 4-20 mA, CAN, RS485. Largo alcance de señal: hasta 300 m por módulo en condiciones ideales. Capacidad para extender el alcance de la señal, ya que cada módulo funciona a su vez como un repetidor. Facilidad de instalación, los módulos no requieren de configuración para comunicarse entre sí. Protocolo de comunicación seguro que incluye encriptación de punto a punto. Amplio rango de alimentación: 9V a 30V.

La interfaz funciona por medio de una página web, la cual se puede visualizar desde dispositivos con acceso a Internet, sea PC o tablet. No requiere de software adicional para poder utilizar nuestro sistema.

Sistema de Mantenimiento Amadeus

Sistema deComunicación

Acceso Ilimitado

Características

Para la recolección de los datos en planta, ofrecemos un sistema de red tipo mesh, el cual funciona de manera inalámbrica y autogenerada. El diseño del sistema le permite abarcar grandes distancias utilizando, a su vez, los mismos puntos de medición en forma de módulos de comunicación. Además, el acceso a Internet es controlado por un único controlador central, lo cual facilita la conectividad y permite un manejo sencillo del flujo de datos.

Información Visualizada

Información General

Plataforma

Para permitir el acceso a la nube, la red mesh requiere de un módulo central o gateway, este se encarga del flujo de datos desde los módulos individuales hacia Internet. El modelo que ofrecemos permite la conexión por Ethernet cableado o WiFi, según decida el cliente.

Para lograr la comunicación entre sensores y la red, el sistema contiene módulos independientes, estos se instalan en cada máquina a monitorear. Los módulos poseen facilidad de instalación en la máquina. Los módulos tienen capacidad para comunicarse con distintos protocolos de uso común en sensores industriales, lo que permite adaptar nuestro sistema para vigilar las distintas condiciones del aceite lubricante, tales como viscosidad, presencia de hierro o presencia de agua.

Amadeus consiste de un dashboard en una interfaz web que muestra toda la información sobre el estado de salud de sus máquinas, debido a un análisis de datos basado en Machine Learning. Le mostramos de una manera fácil de interpretar los resultados. La plataforma funciona como un SaaS (software as a service), por lo que toda su operación se basa en la nube; los usuarios pueden aprovechar todos sus beneficios mediante el pago de una suscripción.

Controlador Central

Módulos de Comunicación

Gráficas de historial sobre las mediciones de cada uno de los sensores instalados, permite visualizar tendencias y patrones fácilmente. Alarmas automáticas por medio de correo electrónico cuando las mediciones superen los niveles establecidos para un funcionamiento correcto. Resúmenes del estado general de la planta, las máquinas se clasifican visualmente según su estado de funcionamiento. Generación de reportes , con la posibilidad de personalizar la información que se desee mostrar. 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(/figma)Interfaz intuitiva, fácil de usar y con datos claros y concisos. 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(/figma)Capacidad de personalizar parámetros de funcionamiento (como los niveles usados por las alarmas o la cantidad de mediciones por día). Capacidad de agregar varios usuarios, utilizando una misma suscripción corporativa. Funcionamiento 100% en la nube, no requiere instalar software en sus máquinas, y la plataforma se mantiene constantemente actualizada. Precio escalonado según la cantidad de sensores conectados.

Información General

Tamaño pequeño de módulos de comunicación. Red autogenerada y autosostenible, si un módulo falla, la red continúa funcionando. Múltiples protocolos de comunicación con sensores: 4-20 mA, CAN, RS485. Largo alcance de señal: hasta 300 m por módulo en condiciones ideales. Capacidad para extender el alcance de la señal, ya que cada módulo funciona a su vez como un repetidor. Facilidad de instalación, los módulos no requieren de configuración para comunicarse entre sí. Protocolo de comunicación seguro que incluye encriptación de punto a punto. Amplio rango de alimentación: 9V a 30V.

Gráficas de historial sobre las mediciones de cada uno de los sensores instalados, permite visualizar tendencias y patrones fácilmente. Alarmas automáticas por medio de correo electrónico cuando las mediciones superen los niveles establecidos para un funcionamiento correcto. Resúmenes del estado general de la planta, las máquinas se clasifican visualmente según su estado de funcionamiento. Generación de reportes , con la posibilidad de personalizar la información que se desee mostrar. 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(/figma)Interfaz intuitiva, fácil de usar y con datos claros y concisos. 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(/figma)Capacidad de personalizar parámetros de funcionamiento (como los niveles usados por las alarmas o la cantidad de mediciones por día). Capacidad de agregar varios usuarios, utilizando una misma suscripción corporativa. Funcionamiento 100% en la nube, no requiere instalar software en sus máquinas, y la plataforma se mantiene constantemente actualizada. Precio escalonado según la cantidad de sensores conectados.

Sistema de Comunicación

Sistema de Mantenimiento Amadeus

Características

Amadeus consiste de un dashboard en una interfaz web que muestra toda la información sobre el estado de salud de sus máquinas, debido a un análisis de datos basado en Machine Learning. Le mostramos de una manera fácil de interpretar los resultados. La plataforma funciona como un SaaS (software as a service), por lo que toda su operación se basa en la nube; los usuarios pueden aprovechar todos sus beneficios mediante el pago de una suscripción.

Gráficas de historial sobre las mediciones de cada uno de los sensores instalados, permite visualizar tendencias y patrones fácilmente. Alarmas automáticas por medio de correo electrónico cuando las mediciones superen los niveles establecidos para un funcionamiento correcto. Resúmenes del estado general de la planta, las máquinas se clasifican visualmente según su estado de funcionamiento. Generación de reportes , con la posibilidad de personalizar la información que se desee mostrar.

Interfaz intuitiva, fácil de usar y con datos claros y concisos. Capacidad de personalizar parámetros de funcionamiento (como los niveles usados por las alarmas o la cantidad de mediciones por día). Capacidad de agregar varios usuarios, utilizando una misma suscripción corporativa. Funcionamiento 100% en la nube, no requiere instalar software en sus máquinas, y la plataforma se mantiene constantemente actualizada. Precio escalonado según la cantidad de sensores conectados.

Sistema de Mantenimiento Amadeus

Información Visualizada

Capacidad para extender el alcance de la señal, ya que cada módulo funciona a su vez como un repetidor. Facilidad de instalación, los módulos no requieren de configuración para comunicarse entre sí. Protocolo de comunicación seguro que incluye encriptación de punto a punto. Amplio rango de alimentación: 9V a 30V. `

Tamaño pequeño de módulos de comunicación. Red autogenerada y autosostenible, si un módulo falla, la red continúa funcionando. Múltiples protocolos de comunicación con sensores: 4-20 mA, CAN, RS485. Largo alcance de señal: hasta 300 m por módulo en condiciones ideales.

Información General

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Si desea saber cómo le podemos ayudar a mejorar sus instalaciones, contáctenos con este formulario. Le responderemos lo antes posible.

Contacto

Somos la plataforma tecnológica que incorpora IoT y Data Analytics a su mantenimiento industrial

Visualización de Datos

Capacidad para extender el alcance de la señal, ya que cada módulo funciona a su vez como un repetidor. Facilidad de instalación, los módulos no requieren de configuración para comunicarse entre sí. Protocolo de comunicación seguro que incluye encriptación de punto a punto. Amplio rango de alimentación: 9V a 30V. `

Sistema de Mantenimiento Amadeus

Pida un Demo

Contáctenos

Creemos en el impacto positivo que la tecnología puede crear en la sociedad. Como ingenieros, contamos con las herramientas y los conocimientos necesarios para crear soluciones innovadoras. Como empresarios, nos esforzamos por convertir estas soluciones en modelos de negocio sostenibles. Como seres humanos nos comprometemos a resolver los grandes problemas sociales, económicos y ambientales de nuestro tiempo.

Daniel Berrocal

CEO

El Equipo

SOLICITAR DEMOSTRACIÓN

CTO

Ingeniero mecatrónico. Apasionado por la aplicación de tecnología en soluciones inesperadas. Disfruta mucho de la fotografía de retratos y ama los juegos de mesa.

En Liberty Mechatronics creemos que la clave de la optimizacion industrial es predecir la informacion de los procesos.

*solo Costa Rica

Francisco Bianchini

Ingeniero mecatrónico. Entusiasta de IoT y tecnologías de automatización. Ama el fútbol y una buena lectura.

CDO

Fernando Arias

CONTACTAR A LIBERTY MECHATRONICS

Estudiante de Ingeniería de Diseño Industrial y Psicología. Interesado en hacerle la vida más fácil a la gente a través del diseño. Amante del tiro con arco y la aviación.

Creemos en el impacto positivo que la tecnología puede crear en la sociedad. Como ingenieros, contamos con las herramientas y los conocimientos necesarios para crear soluciones innovadoras. Como empresarios, nos esforzamos por convertir estas soluciones en modelos de negocio sostenibles. Como seres humanos nos comprometemos a resolver los grandes problemas sociales, económicos y ambientales de nuestro tiempo.

En Liberty Mechatronics creemos que la clave de la optimizacion industrial es predecir la informacion de los procesos. 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vUqXlfyJvJaMEbmcGx6wBqBArF1tkz0yEuVuitHSTzdGHlmsISVmBd1f7qNpcvjNXh9Pg4gmCZ15bXsL7QWoVUcOYDLFTpEVOdZx6NTjOHWG0UuhSGMcfFEkuWsuRk6Pun0qRRO1Wdbry4OZ3fyEWYwN6jMSYbqRlzQc5vLyMWyo9YhqQyU+FLGZwd70/HGftUdTAvApmGcyYpGRi4VdK5Ahp/E6uBg0KxOds8GBqG2ig5Aw4ZBUpDWDuEUwz9+CDGdRaLNzYOknG8C8uHlaZqUM1sYEoaUitCrMStlKJ6YJWxT5GAyHoeWVfGCYLL/IwyhNPgZJ+32X2QESEWkvs1m06wzXqitZPJwZgV2AloqhzXk7SXD8UjRJgNLbWVf9+JUuxepqhhjtVc5exkf5ykR2DGeSltOA3j6LhdSsdJjNsnyZ6FYLsq7N0rKmHv4CCNF9jN2jwaJSeMkfUy/q2gKeLfajqbx9EIFGshA6AySGdyMMVWKL47Qo5OMiuDS3iIZFMONOLTZJiXz/P6CxN0Vb+XFq5M6hJpKBxKMry6o1/TH/p5QOQlV39sWXsDdSjL2yaBR7ODHA+bnZkppMYSnRH0mBwkcA3sNr7SPN+CIE/rQ3DxMh8LyQDvjZBEXbMFymB5zUwSLkYM9vLKWQ11I6wjp6xn3YJ4JUPk9Ksds9tTl5O1TIAthK7DOQOSU1ZxMUuxahZ58Vyt67msyGVPTfIcA72G4ktcvpzGIH/bPE9uzmYxAofyF2O/QCsuPwNVligrN5xuhLNY6VBRoUxh9nH3V+UNgaJg9jgrgz1VcDBsnOLzRYDDG+abCmM9PTk4QIkKZq3OQMXlRQLlrCIbmotaenpIX+jytMROoYtsiOb4Thgneu7JgiGWxxLG4YZQHGK/O0EFSoo1UDSn82EcqPcz+NaNFOj1TJb+dsZMGE5z0LXtrKhntvfM6wEA2VZHDt9TEEcWlPCqkBF/TmAggBRuUpucHAdwMCgjFTgsMqdCvpJqbEBTRBg+PIFPzrPe2jDT5fqMrorHmofExjbCEDahlk0iC1bFweTB7bFLN5Py1wfrAg69dGDgdQOxOaTELFJpK8gei1HR8t1dYozs4b9m45Fc1QPquP+jdAZoJXssWtUBSvGrRFUd/LO4BHOqhNI8EJMAKsfKuIVYU0pM9gke/soaF74pg3RWd92Kj2Bh0A/44VGwrco1WAKeTgZ7LRtO0HLajYHbxKMah1FCQyVd/35CmvNhMWeE98jJoTk5hKKQcCKeVbpGggeXuZ+Hvpo3PjlMJtm3M9WBFiCvzsch6A0tpKfG/HgcnUyGR3f44BgJJ8waIExa7Q3AGn8TgjN6ggHjU+p4xJaqNowOsW8vnh0h0RCrwlCARj48gz7z0uyrRK3S1QSPLLjRF4SKfRr16CSCy2yKFbYa9ZLSYFczUA+8FDXqG+qgWNOQRn9ZmRKvZ6AeeBm+LE6FjaKjB798iDCxAHBBARr58pQm30dCi1ajvgJOXiTRF4uOHnzFCKYEQ4ft4CiRd1W6msCM1PMlFwexL5U9PbxVBix7wsSEi7v7HFITW8eICxi/zFajGrGKENZyOLnnPFaT2/zSSV0djEB57xJCEzXL6V2tTSj2vnNITbyNdK1qmPdX+5qkVUn+npLDesiBhUSH82h2RCPBbmyIp96G0oQ7BTavo2+Ip92O06S79CSH3qLyMhA+fRmjydrHCXapnaAByTPQZD093ElVJM4uFBvimdW+JukuEMxDnH43MDdIPqva1yTuUfETBWwGWKjj4pniWXfC60889DCRiQvmRDxLfHalqwke0xgrmolni2cXHT3o6776AcZzxOeUPT0cUETFq1UIIJ4nnnMHtP4gLEb6+c8lni8+9xxSE/eItxANxP3iuTmsh/rsVnL7p4rPW8Zosr39238X8lzxvNtxmvTaaTZ3qUAo9vPPYzX5dcTtscd+Kl4rn1/29PDjIIamNAoEX1Dta5KvpIdkF6ZXixeUPT38Slp2F46Ni+sX5rAe+iq1VEbe10vxwryjx14Vq4w3RUFQflEG65EBou8IB5P6dQgsSrxQfPFtKE34au3tQZ6x/IKUX7KM0nQRZzZVAErhgeJh8aJljCbbHxe5RIpynvzSSl9TDPW1i4tAzVRcKbt6fKTOT5wua+KBDNQDcRlErCyluHobShMecH+24+lxvJifoV4oH6wiNM2h3qIcSaqHllGa7gjen/0k42UiKTp68AnVz+IHfPhGta9JxgrlRSMexyA5rvY1yYTnIsK+ut5N844em+mrHLWD4rH46rKrx+cHrLB0EIYbSaqCPcJyeg6piRdzvVHTJqKWFCgoFV1NcKo3fgsSaqXm34P6phLcAhahTrmveIW4pZA7KNTwZyJb4izVOZGSskyj3ijFk0mqsZ6+3JEtuH4NoOKD6g3yNSO8Wp7mI1ww78xfWyXv63QMp/9r6THZi6KFLGQ6aTNp5wIxx9ctjUL8W4uTaFyleJ2qFWUkWPNwHjNU4K5Zpfr6KlULtgAvQqyokry+SuLOsccIeRJvDRV0MMYpH48ej+dTDL2hOtTN3mr1O/EILxLnBzPrEgeoI50fbeIAoejiCI8XlWGE+FQ8gXpTBVfkpWM8a9DssIRflfLbJCJfdu1lHgdP9PHKMcNdUt1AAxyHi2LgO8qB0myUL8I9v1MiACKZicZMIrDa75LTU1UCwdmsN1Ex+e6sYtGIoXo8n2Nm7Or3SFZwkETi0J3O2vEBdq/MDuBL37tE4DOa3kbxfSXF1nSxmB7fgcv3305zJ0ZvLInKkYQ5Bt6esRj60w/cThPi6FkmeRO1RRfDClPYIiJOhJOA/vWDUts27FcXQ+C/0J2y/DdJBHiQZruiihFvlnj8KXEhNgCViTdXUI2ySPEjMo6K36m0UTaAnnH5KH8w0sWb0FAJHRxPpwvWXvDZW2UyOYJZsfo6DnQsxna9JUcHKmCWA2/LB0L4WIn+2Rxtq/BSDry9GFBHVznwc/kAz40S/Y4cXZGnyV+IUAyM/45M0mIIOv0x9PVgjvkJmRJSevhNiUcu1V22uz+QJ3lZCWqoBqWfkmOcidBR5oOvxpsYvoQmXX1/7aOMAAPPwtLPZ1sacI7Kdv6uxClbGSoD5W9LvI4l6XKMfKeMld6oVDPFdZ4A8L8EymB6gDQIUmWsgP5loLvTSW82wpGdsfiVTEyYHOxjqKgxKjw4/LDE4TTAEn5NomABQzxKxiOI1UhOERpYTvr1inF5CHjx/BQ1ffLFFL9BRhPsIgaVeptQcIniD/k2xW/R/nW0yApZb5VYdKqYFFfhd0moSEUOiIVvQ5CLFl7uyunD5DhGWgEbfVeVshOhg/+VR/2+RCcfqTjDu+UoxoE1UX3cXrBhSFLwwR9WCkA6d0Mu90fyjja3VVDC7t4jo+wm/m6Jh0Foa/noaqscqJ8ZxgpOsglWimMDXbW4d0i8Hk5PlSB5WFYDb5N4TcwGeAtfgHFOgK3683ysFMcp14ynW7w8nqMwyyrY2yVeJNWRkMm2iYfJBcyrh81tL0m9hpdKffHniqAr+V48zx0i2I3ciRs29W9vUjGTf1PgDw6WBt5X2cDgaHoyHgXHOEtM9VpEM/1bmTKf0NnFy/HaqbrlrSJLm7CHf6+HIJzK18uB9+uBPfVg0RD/oLs61Ub/A0odCCqqCuPjjXSmfQ27yzrCP+V9FW8+CAPOojHJN/FumqTWVUj6oZwuHvUzBW3iDVUriBtVlEveI+WHwQbiwyznwcmMrpxFKUYmk8clAy/zh49ocbMsC/7IRTXwAlswSDMOn4bBR2XxoAP14aH2RnwWzpPDQzjw+6T4GOQP6PnbsIQZ6D9eOmTFcFIYnfyEPJ3CQ+1TrN47wjMj9fNJWAsKjb1PEyA/VRaqK+xQrdYFoJi8YJLC0AMprE3WkjSLYJCnXnxvK1pjNSn5hEAjDsgKasnhUeUqBir+XlvWQf0Oy1opDbOMLKuFLKZiKQxdv1FkRQJUsekQpDiDjRJTlWLpBK6XNOWEFSnu6B6s+2bhVLFpsraaY3SAXad5j+8YKzbOx5wL5YTn4vmmlrcJQ+Y4ylMXMyU2dOQWK7v29S3X9Fk+Fb3ubtfdQ7mSvxRFnVK9BchrW+41VPJtwIYXPISmFuw5odUaeOr3dvXdcmsM1hz5rovasoRWFTab673Y3BaE1oZtGPoRUyWt2AKjn8Q36RQwtGE0OY1SHtDI5hDs8AAo5Azn2RgrPAUdlmaofiPm0lmdqumPtjW3uvpHG2Sl/93GC4TU44ppezpUKoRCjQo6gAUrPfG59drtHK1xMrwh8GA1QhjFIyfslN9rXRdbJI0JVg/67DxE+NQ5hRFqZSCi6t0VsjbVUDaDPJou0tl0kXWN9GY0y+Da7R+rqGSsTHUvo/pMDGa5Gzile2Vj9eyzLVSNZ6gpLJwRcnyxAl2n8C+cgQw22LB9+FmAa1XMsjGmy2ZPEfEklpdbYZmQCqPp+nuZcfk2HloCWpFEot+OT7Gb+HqfoRJFDVaZV6dwFzXZR/GQM4lvFh3jnIwNylgDlK8GGKwlSVua0pl045u3LQGLGhXCfQy+uCyAxzI2rJu/A3TwOqTENrdcX4PScjsdJ9QdY/nT3fjsgPd1FtYVl09hAdD5IQTg1cNYIECki+h4hk72apDFXHyyv7yqXLG8dtyCsRmpoi9MCQV9PbdOD2EHuI0ucqVqgcQnwOc8OoAecBf6D2hUM82ESMV/IohXhawrC0cCUfrKSg/RRfMRxr1LvxzPQpiO4BMqAg8Iw+wGWUfsO4x1bFuh+yo3fz/0f6y89AMo5qe57+EFfn26j4lOIZZYkxujmNGjq3lewO5hQ5Uvpjjo5aZeRu5/KU53iQi/7C0pTnV5F6aaQ9pNcUnpJafJ7AXGc/cS3ruDx+BzX1xe5CQ5+wa9EU5wzwy9cmNS8V9S3htAYBzVqFE/dhKjSMXnKJwIWF03ixS4XCLPwT4TofWbduJFBB6RMOQ+nsmQa8Rj5mK0AOi7A+VDp8K4nxLCHmV1OwyIoIDapOSIhFXWqYO8/99S4s0cvMWpXE2RrUXjTMtr0XAIdqIu1lMmy0GsSpkY2cj7Iad9VFzI+xZyG2yMQr9UbM6gSR6tK+KiAjPJ+/whELpIfOgyYHhJT+xFZ+NpNALi7nRJXwkE/R8pL1cWUqjmf/HMcQBOfaRNWDrWe6/i7qQeFRyNx2fuySJNRrE9GY5hITgJlZNKcZ8i9KBCBDtf3P9/AxEAAO1ZCXRWVZK+773kJyEQEjbZ+dlFNtkX8+4LuzS2gjAiuBFjCFECGBJA2sQgW1gUEG020SBgyyiIooAsv0EW2URkEGhAwXZhV5FtkI4z31fv5aadpc+cOX1mziycpuuj6t66davqVtX7tSxbOSrKsZSyVZQV3WNUak5m2shsFbJinlFKxaoEVVEpS8k6VU9F2dH9UtLTwq1LV5QjwR8hFSxuqETcJm/f3r0lf8kYB0XjEqnIgqLy0XdlPJqWlf1U+LdpqcNTsrNGjcxIHRMekxbOzkrJTgk/lhbOTBmfkZkxISUrPCIlnDoqc3RadtrI1IyUcHZa6shRI7atTc9I5cIR4cyckY+NgkllVGBU3HSVHDVJqTm+dbPUhnvFwJlW4d3lVbxYWYXyquoWVX0iJDUorqVq23VUXRVW9az6qoFqpBpblrIp+su/Dv8P7rJUE3UrtVhN+40aPTpj5Bh1b1p6zoiULBX8u0XJv2+z/ubXjSq5YzRsBB1oT8+vGYVwTlaqeRkwCqNV6B78DzcQOUQgc8DN7fDwRmVZ9rOq32CwjMQKPX1s/3VE256kqlUAy0jsUN7qWkOU5diT1XvxYBmJE8pbPtpVVhQkG2eAZSRRodwNl3OVFQ3JfZ+DZSTRodwRm7OVFbKn/ItzQqG8GV3DyioDyZO9wTKSMqHc7OGJyoqBpMajYBlJTChPfb6Btk1RSRvAMpLYwLZYSLxrYBlJ2VDeul0dlFXWnpqfVx0sI4kL5VVd3VtZcfZUNaEzWEZSLvBBNCQ9HgDLSMoH94mCtgmZYBlJfOCDcpDUywfLSCoE55SHttqFYBlJQiCxsKdaEVhGkhjEJxaSYfvAMpKKwX3iIdlxDiwjqRTK+333OHp0Wn6WDZaRVA48Gm9PK6oVC5aRVAn2ONjTvCpYRlI18Ci0Ja9qBJaR3BJoi8aeQc3BMpJqxjvTirLag2Uk1QPvxEHbTg2WkdQwvp6W/OY9YBlJzUAb9uTvvB8sI6kV7IFt+W9mgGUktQPbKsCCvxsNlpHUCfbgpkVdJoJlJHVLb5q/aQ5YRhIOtCVgT9p8sIykXuiZqqvL+LY1eQcsI6kfnJMISbmPwDKSBqHcP+edY7SnKWc/WEbSMIg2zlG3HQLLSBoF52BP0fmLYBlJ42BPRUgqXgHLSJqEcqee/0xsSx7zT2AZya2BbVF2Qbh5DFhG0jSITxm74NTn5cAyktsCH1SyC1SzBLCMpFlgQZxdkK8rgWUkzYNzoE29UxMsI2kRaIuFBaG6YBlJyyCvy8GCJY3BMpJWwStJsAuKXm4JlpHcHninsl1QmHsHWEbSOrDAwTk/dgfLSNoE0Y6G1Wv6gmUkbYN84x7dDywjaRfsKY89vwwCy0jaB7bhPkOLHwHLSDoE97Gg7aV0sIykY6nfCt94HCwj6RRYDb+Fa44By0g6B36D1cmjx4JlJF1KrT5VPAEsI7kjsBq2JUeeBctIkgLbcB913wywjMQN7sMoDHwBLCPRgQR5UDRgEVhG4gX3qYJz0peAZSTJwZ6quM+wFWAZSdfgpvBO4dFVYBlJt0AbrA5fWAOWkXQPrIbfTk3aAJaR9Ai0wW9Dr/2qjvYM/FYBkeu7HSwj6RXsgd9UZB9YRtI78BtuOjTvEFhGcmdgG845NfcIWEbSJzgHOapOHwPLSH4T5Ogt2PPxabCMpG/gHUShaOcPYBnJXYEEVhfuuA6Wkfw2sLqcPT2hlgLLSO7298TExlpWMJOYGUUGm3yncnHSnC7LFy44/Vbe+iHNZoU6Lr+xOCZKRReGlGquWlrPqHxLTbTUs5gyLDXZUlMsNdVS0yxVYKnplppvqRWYEPdYaq9lf2Kp/ZZSoWpdldUmprnu99x8137z0sFSoPDHbvnuEhfUBwtGtvFsLjaAi9VWS1nrLxe7oyo28Jwu7+0SEHdkmVtldRPPWX85193Up7lH+ualNj5j0cLOsiK5vfa3fHegG1YUC3Vy5lXTBGduNtWyIv/xJM0tpKKDgEq5Qk7hFh5LHaT+pTb1KefbiRv4VwD1gRERqA2YdfmP2kO+0bDnTr1idDE25esf/xDynG9WLNbPz4/3TtyICHVu/+IbAZ2mW97epdGec2RZgpd4/w2deH91L2feUe38plx970L/DZr01D3P+Yy9S3vKilEVHS1bGoUmuqt7W17NVl8kOTx7S3alzTyF1Pnw1UUC4DA9uPN7SU6V1b11QdXBLi295Y/7XbEfF/JvBOoDZL9/NQOoWllPumV9WwgGxa/ScUcc7/XF27Vz51c/62u3ntC81ztZZ7Rz24Of6ic2X9G53vtCxQUEe5dO0a/8cFo7M7oO1d+sOA5GT/3sS9u0w3PaxLyFv831J/tm+YxVtYbICsZJtsz56KpLHQ/N/sgVpWOGz3V5CqkcS0A7ZAUN4xZaKjpoOpWS8i7qJUSu17pKni47XzsEj2ycrv/+UkVvzkc52sZwhP052rn70QSkVH2Y2l3PGnHadY7tH6d/332m+/L2QqEO3U7A1JezsUxnnr7prl3ygx4U30LbKd8mwG0ttAOtDK5Lh8QdaeA63MNIURmpU7zySQEVWrTRV4oPJVGZ2/D4U+64yKsMlHZ2hG93H5rdTZOKuwigVDOCBVX/qJ0bA77GlhtcAR8iydYuGSVZx1NIkai7BEC5Hvg1ViCxvA4P/4x7xHkMjjhk+egtmpQeUtbHfa9rKnAIHnhsk6475byOvm+/dsZFTuqte77C5r3CxIr1cN5Vfe+GV4Q67+8aK+D1xT102h0ntYMrahqBNyRKbSolULn+eypvQw+X86XQKU1ax3hO0snZyN947+iyNUJtgoy5F7Vde8hyAZI8BKQ58xZoSWM4zs9wUB/gYD/DDeCJCsXNqjQpWVdo8ZO2CRYtrK4dgrd7f+VOPd9f7x4bceHhVHG33WyaTw+PX1kKcIayT9zIE+Cca9xaABJPN32wguv8+IedbtMHZ7ukVG8TyIEMuAFiGEUGrF3SyhOjDBARjzRAtlNEoAYoq8fMcp5I+YherDY5YsMWHzw/fyQisv0OG372j0M++MdNPT+X6efa266e8ZWX6FEWm4WFUufhZp5NAI3KHjO8dSl4sVqUZw+Kvyg3tzf12ecD+rn2EIgIwPBjAeoDUdiubVstIPatE0wa10462ar0LAL1qa0sZPe/zn8pocx/1tTCGq38/M+YmynpznwkdRaMPCig17rLKLS250wuKusxAXaEE7zdYyPafrry9wy1diac/U6nJhzVmKw1scNXAbNKk5vaCdhaVtU6Jq9c+0Uhzi9oBIM7t5MVeJiubGHJoA5SUUrAUxAS10kf9p1mS6Id3GrTMgLn57yyaGeb3XZtL6OgNnGdMcM/k5JBZaSinYD3RxCTxCGsIfQQfO27rNP0rriu70N1ASGtt+ZdeVTiHYI2MRdwQhnP+e6A7bHbnLkZKyUDRyYiGfah5CZ63Yau0Ih5oh98VjZQH9Aih4BPnVViwIYvNXy9R+d5V3X6sNeFOp2mTxSgyw5C18YKZofT7GN5w5/VX/zvvWHTpQw4uuxHLc2O9YyFettVVI0/TXhR7lNyQWnavDr7gPji30yf31Vu6adP3SlPSLbQFFLHUkUCDtY/7vf5ZT2vSePfuseCP77VNgFfi82ubQAMVyIC9UHKtwdch8lTs9VDLpNH2jWThwEs6ePOzbzHBdAkafm0kTMAjcZd/VuwX5LyWsqiesbWIegx8y39/q5rePdo2mdunpUOfOD6PyC+CCcTnWFiESVFs5wh4PD4DL+t7x6rgz7fkPnppzQnAVKeJwz2V66QhsstuJlLHdIWqZQ9mqeQYkVEAO2QFTSMW2ip6KDpVErKu6hViNzWPUvFGcisbAF8FpLnh8eflTz/673y2P71ULjUDzZaBbbc0B/37egHm1nD2GLIFOqs3LlXAF+DrPiyYcjjFhRzT/rtL4eqsatrUjmFgMcW1qjAUGuH+2jYzbxzvqWPbNwtpsMOof6t6AxMLhsFIDXwcV3kSgXCKOEO7nxFP3W2sXYahSyvetR9mlTOI3h+/moJ2ZcNd2oODcjnL6RosYJj7N0s0n8csEwoDJgu4J2s4f4KhotbGD/RwYBSKamcQnCleCAHFwwNjVgJXbZad9aIdNZKF2NFgZhechd1HGVlR9jv1cxZAezou8f+4lcRVgXS/74qIq+TIgN+VUU4ukgV2ZI9T8wvuY9aHKWsyUUzJH4OHUOwdU89PJAeSQ6eqQuP0RcutrrOJ/vucuECF80ZY2pDbXOyJEB9qixpzxyUiB+s/wDcPtPliyHFZ8NyAagOGj/sug4HZ2Y7Kb9ghMF4tGu7FtbdrVGzX8PMkgKF+br+miztMCHpow9fraEZfSYJPsxeQJ1bja+n1/gWMt1e69YippkuvhJ8Br8Aztxc6bLEyaXY2lu+W1vf1THW46WQJPH4GJgs1OH5BEknP8XYjM7aY+YFzSb2/Pzv9Qd1dmibxZMAGRfRrKA4H2mIFExu/wr9ALdPEuocuD5AwGs9O8h4Jh9rM7qekiuLhQSNQlthYVPNd41ET8Kze1uygPOQw7sHFQf5vURjGH5bl5n4EiuOX7nKTPwcD3sKzP0TxtcntMP4r9zZF1PIJTkJI9wlZP4h8QXD4PR/7gisdFzeBdUnydl29Q0Jf0k+/GdbDD9sSHGPzQK4/KmzaDF8ACdu/ILKZXkcDqR9IOJ+ZzEAWe13FlAf4BOjtMV8+GrQYr5/+kMxlA+DVCwgoEkI8//dFjMbkUMWeXzjzG8BixYO9mQUSh82TEahnw5m+qNQnpeDBr8PpSfHL2IE8L2yk9s/XAqkiBGwiPVaN8CTInZ4fB+PNevY/o5C0SgaCbjzqxp4ZF/Q6QkeZn84PcHjOCBzIJQqWwZ8/BEg6gmoHuHzayT/QW20ixSNorRGinqWO6onFfUEUOqXRlAfmNJowI7wX9RIfihLjWQ5obvYN0gdNiACfgpIGrN6YK7VHLjlS5C/Zrxw8c8o2XVwUax4Y2czcXlJDPBfFa0Gxz/wreInS8q3/bSNO/rmofAmgSqb9Q2Pkx9PA/2vGfYmAZmnf4eivkbbHLOFw4ok4NPr8/RPB5/T0Py9f0TJWSpNWazMixYudG3mjwGQKZujN6gPRFSz1RJUWnx+8YEYIKfgDfrHEYioRLNq5X/vygMmgErf56A+MCICKSz8B3/pkADQefyhJ30YnMcYsmxwgiSV34YImLNSaehvlh4WCxYX+X2JxYlUnhkB3zlXILp+iJA5f+UHp5Iqwo9eKS/4UkMaPvTrH5w+qDMlIjcyQHxCkQG81v/SH5yOI3KYBsRRKOfZAtA92Fr+f3ZlyGTuZFVlbWLpkMmUrZDS/+LZ1aoedRgRbc8fQ/pzDvABYuvZFJ252ccHXKM+wzDIV0BvS3MlYLeVmsbh6T/wfYjBcbNDUKHFu1vONU70UCUimC1i8J3YL8IPfkwzEcyah5BVMyLsuKTyeUjw8vYwxqOhEQcjFZ9ehIMnkmGLzTsTOLlee7zD6Ei3oWlgNIhgjp6BV9FdlJHKT5IEHLgQ3oh0SPSILaS0UIzHKn+qwIwpUwWi9DeZKoTBjOQKSXNuYcWiDiajKKV7eQopEzDIJgLehO39f/ogwt9k2O0lPQjwHJVdvPKS3yMIBn69wpVqPC5SF8V0HzTmJKG2vMe2vDk1YYFQh12ToMPDXRCNeUksA/pC/06c8t0u+I8o/LhBFGtQ6vJZ2QRyMDPHAFYth4CfOUkn74HTzroOqoPc7e3e/tPhL5wC6EU+MvyqfUmcRfrCxae1GC9aeS8Cpf4Z(/figma)

Visualizacion de datos

Para cada problema,una solución

Proveemos de una visión completa sobre el estado de las máquinas utilizando visualización de datos (historial de gráficas, alarmas, tendencias) Ver ejemplo

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