Municipalities are seeking new cost effective ways to generate and deliver information relevant to individuals. Low-cost sensor technologies for monitoring air quality bring the opportunity for ubiquitous monitoring, potentially at a fraction of current costs. However, the quality of the sensor data prior to significant processing does not meet the requirements of the municipalities. iFLINK will implement novel calibration and visualisation approaches using machine learning and data fusion techniques to perform real time intelligent corrections of measurements, improving data accuracy, and provide comprehensive data coverage in real time. Municipalities also experience that the total cost of the sensor solutions is much higher than expected due to communication and database needs. The iFLINK data infrastructure will be efficient, scalable, fast and open, potentially serving Norwegian municipalities as well as international clients based on modern capabilities of Big Data integration. iFLINK will fill-in the existing gap on providing real-time accurate air quality information with high spatial and temporal resolution at an affordable cost. The project will be piloted in five municipalities (Bergen, Bærum, Drammen, Kristiansand and Oslo). iFLINK will also allow public and private actors to develop real time environmental services related to e.g., air quality, climate change or noise, with a seamless interface to any local smart city development. The anticipated result of our project is the successful connection of a variety of low-cost environmental sensors to an open technological platform that adds value to the sensor data by increasing their accuracy through applying machine learning and data assimilation algorithms. The platform will allow municipalities and other parties to access different data processing levels (i.e. from unprocessed sensor data to high resolution maps) according to their specific needs.
Project leader: Nuria Castell
Category: Øvrige offentlige
Institution: OSLO KOMMUNE BYMILJØETATEN