Technologies applied:

  • Microsoft Azure
  • ASP.NET MVC
  • C#
  • HTML5
  • Javascript based libraries
  • WepAPI’s
  • Webjobs
  • Signal-R
  • Servicebus
  • Azure SQL Databases
  • MySQL
  • Linux VM
  • Azure Storage (queue, table, blob)
  • http://sglsystem.com/EN/ASSIST/4
    80/SGL%20Assist
  • http://sglsystem.com/EN/ASSIST/4
    82/SGL%20Portal

Optimal lighting for perfect grass quality

cloud-platform development

Client Stadium Grow Lighting (SGL) http://sglsystem.com

Project key: cloud platform, internet of things, sensor systems, controls, models, portal

HvA Technologies developed the SGL platform for the optimization of playing surfaces in stadiums. The platform exists entirely in the cloud. The aim of the platform is to deploy an optimized lighting plan to allow the grass to grow as well as possible. Alongside the development of the platform, we also maintain the administration of it.

The surfaces and stadiums are provided with various sensors and lighting units which remain continuously linked to the SGL platform. The optimum grass growth models are determined according to transmission analysis combined with sensor data and weather forecasting. These models are deployed to control the lighting units for an optimized lighting plan.

A comprehensive portal with dashboards is designed to give end users an insight into the current situation at the surfaces and the recommended lighting plan. If the current situation deviates from the set range, the end user receives a message via SMS and email. An administration portal is specially designed for the SGL agronomists and special dashboards are designed with current status and signalling for the control room.

Optimal lighting for perfect grass quality

Client: Stadium Grow Lighting (SGL) http://sglsystem.com

Project key: cloud platform, internet of things, sensor systems, controls, models, portal

HvA Technologies developed the SGL platform for the optimization of playing surfaces in stadiums. The platform exists entirely in the cloud. The aim of the platform is to deploy an optimized lighting plan to allow the grass to grow as well as possible. Alongside the development of the platform, we also maintain the administration of it.

The surfaces and stadiums are provided with various sensors and lighting units which remain continuously linked to the SGL platform. The optimum grass growth models are determined according to transmission analysis combined with sensor data and weather forecasting. These models are deployed to control the lighting units for an optimized lighting plan.

A comprehensive portal with dashboards is designed to give end users an insight into the current situation at the surfaces and the recommended lighting plan. If the current situation deviates from the set range, the end user receives a message via SMS and email. An administration portal is specially designed for the SGL agronomists and special dashboards are designed with current status and signalling for the control room.

Technologies applied:

  • Microsoft Azure
  • ASP.NET MVC
  • C#
  • HTML5
  • Javascript based libraries
  • WepAPI’s
  • Webjobs
  • Signal-R
  • Servicebus
  • Azure SQL Databases
  • MySQL
  • Linux VM
  • Azure Storage (queue, table, blob)
  • http://sglsystem.com/EN/ASSIST/4
    80/SGL%20Assist
  • http://sglsystem.com/EN/ASSIST/4
    82/SGL%20Portal