{"id":7268,"date":"2025-08-18T16:18:12","date_gmt":"2025-08-18T14:18:12","guid":{"rendered":"https:\/\/www.aiknow.io\/plataforma-edge-to-cloud-para-la-supervision-de-la-energia\/"},"modified":"2025-08-18T16:18:12","modified_gmt":"2025-08-18T14:18:12","slug":"plataforma-edge-to-cloud-para-la-supervision-de-la-energia","status":"publish","type":"post","link":"https:\/\/www.aiknow.io\/es\/plataforma-edge-to-cloud-para-la-supervision-de-la-energia\/","title":{"rendered":"Plataforma Edge-to-Cloud para la supervisi\u00f3n de la energ\u00eda"},"content":{"rendered":"

AIknow ha desarrollado para su cliente una soluci\u00f3n avanzada de monitorizaci\u00f3n energ\u00e9tica que ofrece un sistema completo de recogida, an\u00e1lisis y visualizaci\u00f3n de datos de producci\u00f3n y consumo energ\u00e9tico.<\/strong> La plataforma se integra perfectamente<\/strong> con la infraestructura existente gracias a gateway IoT instaladas sobre el terreno<\/strong> que pueden conectarse directamente a dispositivos como PLC, contadores inteligentes y sensores. <\/p>\n

Necesidades del cliente<\/b><\/h3>\n

El principal objetivo<\/strong> de la soluci\u00f3n es apoyar al cliente final a trav\u00e9s de:<\/p>\n

    \n
  • Un servicio de asistencia avanzado<\/em><\/li>\n
  • Centralizaci\u00f3n de la informaci\u00f3n<\/em> sobre el rendimiento de sus productos<\/li>\n
  • Control del uso correcto de<\/em> los productos por parte de los clientes<\/em><\/li>\n<\/ul>\n

    Contexto operativo<\/b><\/h3>\n

    La plataforma est\u00e1 dise\u00f1ada para aplicarse en varios \u00e1mbitos, entre ellos:<\/p>\n

      \n
    • Dispositivos de estabilizaci\u00f3n de red utilizados en m\u00e1quinas de producci\u00f3n industrial<\/li>\n
    • Impianti di produzione di energia elettrica da fonti rinnovabili<\/li>\n
    • Supervisi\u00f3n de subestaciones de transformaci\u00f3n, distribuci\u00f3n y control<\/li>\n
    • Control del consumo energ\u00e9tico de edificios y plantas de producci\u00f3n industrial<\/li>\n<\/ul>\n

       <\/p>\n

      \"imagen<\/p>\n

      Soluci\u00f3n AIknow<\/b><\/h3>\n

      AIknow dise\u00f1\u00f3 y desarroll\u00f3 toda una plataforma a medida <\/strong>para satisfacer los requisitos espec\u00edficos del cliente. Entre sus principales caracter\u00edsticas se incluyen: <\/p>\n

      Edge Computing e IoT<\/b><\/h4>\n
        \n
      • \n
          \n
        • \n
            \n
          • Selecci\u00f3n y suministro de pasarelas IoT capaces de alojar la pila de aplicaciones del lado del borde<\/li>\n
          • Utilizaci\u00f3n del est\u00e1ndar Sparkplug para el intercambio de datos entre el borde y la nube a trav\u00e9s del protocolo MQTT y la carga \u00fatil binaria Protocol Buffer<\/li>\n
          • Gesti\u00f3n centralizada de flotas de pasarelas a trav\u00e9s de BalenaOS<\/li>\n
          • Stack edge en gateway compuesto por:\n
              \n
            • Servizi C++ dedicati per ogni protocollo industriale<\/li>\n
            • Aplicaciones de orquestaci\u00f3n en Java\/Python para almacenamiento en b\u00fafer, env\u00edo de datos a la nube y recepci\u00f3n de comandos.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

              Aplicaci\u00f3n en la nube<\/b><\/h4>\n
                \n
              • \n
                  \n
                • \n
                    \n
                  • Recepci\u00f3n de telemetr\u00eda y almacenamiento de datos en una base de datos de series temporales (InfluxDB v2)<\/li>\n
                  • Generaci\u00f3n de alarmas de diagn\u00f3stico para pasarelas y dispositivos<\/li>\n
                  • Supervisi\u00f3n de m\u00e9tricas con umbrales de alarma configurables<\/li>\n
                  • C\u00e1lculo de m\u00e9tricas derivadas para an\u00e1lisis avanzados<\/li>\n
                  • Creaci\u00f3n autom\u00e1tica de informes<\/li>\n
                  • L\u00f3gica de generaci\u00f3n autom\u00e1tica de comandos para dispositivos a trav\u00e9s de pasarelas<\/li>\n
                  • Posibilidad de que el usuario final cree cuadros de mando personalizados<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                    Infraestructura en nube<\/b><\/h4>\n
                      \n
                    • \n
                        \n
                      • \n
                          \n
                        • Creaci\u00f3n, gesti\u00f3n y mantenimiento de infraestructura de nube en Amazon AWS<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                          Estudio de series temporales<\/b><\/h4>\n

                          AIknow tambi\u00e9n realiz\u00f3 un estudio preliminar sobre las series temporales de datos energ\u00e9ticos, con el objetivo de evaluar la posibilidad de predecir consumos futuros e identificar comportamientos an\u00f3malos. Este an\u00e1lisis permiti\u00f3 explorar posibles desarrollos futuros relacionados con el mantenimiento predictivo y la optimizaci\u00f3n del uso de los recursos energ\u00e9ticos, gracias al uso de Inteligencia Artificial aplicada a modelos avanzados de predicci\u00f3n como LSTM (Long Short-Term Memory)<\/b> para el an\u00e1lisis de secuencias temporales y XGBoost <\/b>para la detecci\u00f3n de patrones no lineales en los datos. Adem\u00e1s, se tuvo en cuenta el an\u00e1lisis de sentimientos aplicado a los comentarios <\/b>y a los datos textuales para integrar el contexto cualitativo en los modelos de predicci\u00f3n. <\/p>\n

                          Con esta soluci\u00f3n, AIknow garantiza una monitorizaci\u00f3n energ\u00e9tica eficaz y escalable, mejorando la gesti\u00f3n de los datos y optimizando el uso de los recursos energ\u00e9ticos para sus clientes.<\/p>\n","protected":false},"excerpt":{"rendered":"

                          AIknow ha desarrollado para su cliente una soluci\u00f3n avanzada de monitorizaci\u00f3n energ\u00e9tica que ofrece un sistema completo de recogida, an\u00e1lisis y visualizaci\u00f3n de datos de producci\u00f3n y consumo energ\u00e9tico. La plataforma se integra perfectamente con la infraestructura existente gracias a gateway IoT instaladas sobre el terreno que pueden conectarse directamente a dispositivos como PLC, contadores […]<\/p>\n","protected":false},"author":2,"featured_media":6715,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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