MegaSense

MegaSense enables smart city living by integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source in real time. In the context of air quality monitoring, MegaSense gathers and fuses spatially variable gas and particulate measurements from high-end scientific instruments, commercial air quality transmitters, dense low-cost sensor arrays, and consumer wearables utilizing Nb-IoT and 5G technologies. MegaSense platform analytics extract properties and attributes from the data, and following Artificial Intelliegnce based calibration, efficiently creates accurate and predictive knowledge structures. The knowledge structures provide evidence-based representations of pollution hot spots and can be used to intervene with harmful emission events and monitor the consequences of government policy interventions.

The goal of the MegaSense consortium of research and industry partners led by the University of Helsinki is to co-innovate research ideas, products and services and improve the architecture of smart city air quality monitoring. The MegaSense partners work together to develop 5G and secure Finnish leadership.

The objectives of the MegaSense are to increase knowledge, revenue, and growth of consortium partners and stakeholders by laying the foundations for intelligent air quality monitoring in Finland, and replicating the best practices gained, in international city projects. The realization of the objectives are based on the following measures:

  •  Improving the capabilities of low-cost air quality sensing devices:
    • Designing a flexible smart city architecture that support cross platform utilization for identifying pollution hot spot events and validation using IoT technologies;
    • Including core network slicing that enables Air Quality monitoring as a 5G Next Generation service;
  • Improving the quality of spatial representation of air quality sensing networks in urban areas by:
    • Applying intelligent sensor location selection for low-cost sensors deployment and mobile sensing to collect data outside the IoT network;
    • Edge pre-processing and high-speed data fusion of multiple sensor networks and improving the overall information accuracy using Machine Learning and Artificial Intelligence;
  • Improving the intervention process of urban air quality monitoring:
    • Introducing new smart living applications that utilize real-time MegaSense data and information;
    • Providing national and international decision-makers with evidence-based hyper-local air quality information and tools to foster sustainable policy interventions.

The credibility of MegaSense concept and potential is emerging through City of Helsinki Air Quality projects Urban Sense, and UIA HOPE, and thropugh International pilots.

More information: MegaSense website