NOMIA An AI is trained by KNX data

Hotel in MYKONOS

Aplicaciones utilizadas

Iluminación

HVAC

Seguridad y protección

Operación y visualización

Gestión de la energía / Medición inteligente

Otro

Automatización y acceso remoto

Control de persianas y contraventanas

Detalles del proyecto

Categoría Valor
Categoría del proyecto Hotel
Tipo de proyecto Commercial
Año de finalización 2024
Tamaño del proyecto 1.001 – 5.000
Número de dispositivos KNX utilizados 101 – 300
Medios de transmisión KNX Twisted pair
Horas-hombre 1.001 – 2.000
Mano de obra 1 – 5

Presentado en este proyecto

Apricum d.o.o.
Ekinex S.p.A.
Gira Giersiepen GmbH & Co. KG
Interra Technology Otomasyon A.S.
Schneider Electric Industries S.A.
Siemens AG
Shenzhen Sunricher Technology Co.,Ltd
Embedded Systems, SIA
Tapko Technologies GmbH
Schneider Electric GmbH c/o Merten

Descripción detallada

Energy Efficiency

The usage of automated functions already save energy in every installation. Especially the usage of KNX has a lot of potential for further energy savings, which can contribute to a better environmental footprint. Be extending KNX to more functions and applications, energy savings of up to 60% can be realised. Thanks to the flexibility of KNX, these functions can easily be implemented in this installation

Innovación

Smart homes and buildings are always an upgrade in comparison to a conventional installation. Not only automated functions and a higher level of comfort contribute to a higher living standard, but also the possibility to be ready for coming innovations. Thanks to the usage of KNX, the door has been opened to integrate new innovative solutions, using the worldwide STANDARD for home and building control.

Aplicaciones utilizadas

  • Iluminación
  • HVAC
  • Seguridad y protección
  • Operación y visualización
  • Gestión de la energía / Medición inteligente
  • Otro
  • Automatización y acceso remoto
  • Control de persianas y contraventanas

Descripción de los clientes

From smart to intelligent there is a giant leap. “Machine learning”. For this application an AI model is under continuous training targeting energy management and comfort. Room occupation is based on algorithms and machine learning not only on a presence detector. The hotel “knows” that there are guests in the rooms even if they are sleeping or resting at the balcony by combining the information from the corridor cameras, the room presence detector, the Wifi connections and the KNX traffic. The energy model predicts the energy demand and utilizes the renewable sources at the highest possible degree. Result of the efficient management is 20 suites with heated pools each, Restaurant, Bar, Kitchen, laundry, GYM, SPA, lighting and full A/C to operating with a 3X80A / 230-400V power source. To feed the AI model, KNX open API REST used and the naming of group addresses defined under certain rules. Once a day the model is deployed into the real working environment.

Información del contacto

nombre de empresa GDS DIGITAL SYSTEMS LTD
Correo electrónico de la empresa info@gds.com.gr
Company Website https://gds.com.gr/
Nombre del contacto NICK GLIATIS
Función de contacto System Integrator

Vídeo