kWh saved
real-time events logged
commands sent
System is based on a complex 3D model describing the controlled building including neighboring buildings.
The 3D model is used to calculate the illumination of each window at particular date and time as well as 3D visualisation of current state.
Keeps blinds as open as possible, but prevents direct sunlight from entering the interior
Cost minimisation for cooling during summer / heating in winter
Automatic raise of blinds in case of strong winds
Each blind can be controlled manually using a switch inside
Possibility of improving the algorithm by calculating the reflections from nearby buildings
Operator can enforce global strategy – e.g. raise all blinds during windows cleaning
All data are logged and can be exported for further analysis and independent audit
Scalable application with minimal HW requirements
Fast implementation
Blind control might seem like a trivial task at first sight. However, sometimes it is necessary to consider whether we want to shade office space against sun, or whether we want to consider overall comfort of the tenants.
For example, the building can minimise heating of interior from the Sun during the summer whilst also preventing sun rays from entering the interior. On the other hand, in winter, blinds can be controlled so that they are controlled with regards of improving internal heating.
Some buildings might have an irregular shape, internal atrium, vertical design lamellas, etc. Throughout the year, the Sun is moving on varying track which influences different shadowing from neighboring buildings.
We create a complex 3D model of the building and its surrounding. Using this model and real time data (from e.g. meteo station), we can effectively control every blind.
We provide higher comfort for modern buildings while also saving costs for their owners. We taught those technologies how to really serve to the people inside glass buildings
System is designed to operate and manage building effectively – it can monitor operational status of devices (e.g. equipment aging, temperature, pressure, vibration, illuminance etc) and its surrounding (meteorological data) and then notify operator about needed action. This way (besides the building automation) it replaces costly preventive maintenance and eliminates expensive ad-hoc services, that may have negative impact on comfort of living in the building and prestige of building operation.
All parameters are configurable, separately for each blind. System is connected to industry-standardized bus, including meteo station. Algorithm considers those calculated and measured variables: sun azimuth and elevation, sun intensity (clear, partly cloudy, foggy), shadows of surrounding buildings and horizon, last time each blind was raised/lowered and/or tilted, time difference from last change of sun intensity, position of each blind on the building, minimal illuminated percentage of each window.
