The use case is about optimizing the indoor conditions in a school. Schools should provide optimal conditions for growth and learning, which is why the objective is to improve the efficiency of the use of space and to optimize indoor conditions.
Currently, condition data is collected from a range of different systems. Condition data that can be measured includes indoor air quality, room temperatures and occupancy rates. Existing data is harmonized by converting it to a compatible format with the help of uniform categorization. After the harmonization process, the compatible data will be transferred to the customer’s selected system where a model called digital twin is created to facilitate building control.
Benefits that the optimization of the conditions brings may include lower temperatures in rooms when they are not being used, or more accurate information on faults, which in turn will result in quicker response to faulty ventilation devices, such as if the indoor air conditions do not meet the recommended values. This results in energy and cost savings. It also allows for more effective planning of maintenance based on actual needs, which makes it possible to allocate resources where they are needed.
Monitoring classroom occupancy rates helps plan the school’s timetables more effectively to ensure optimal occupancy rates in all rooms.