Consortium: Rawicz City – Leader, Warsaw University of Technology (Faculty of Building Services, Hydro and Environmental Engineering).
Project manager: Bernard Piskorz – representative of the Rawicz City Hall
Project manager at the Faculty: dr inż. Mariusz Rogulski
The project is co-financed by the European Union under the Operational Program Technical Assistance 2014-2020 (competition: “HUMAN SMART CITIES. Smart cities co-created by residents”).
Years of implementation: 2020 – 2022.
The main goals of the project are to develop solutions to support decision-making regarding the current functioning of the commune and planning its further development.
The project provides for the involvement of ICT technologies: intelligent monitoring, air quality sensor systems, intelligent and energy-efficient lighting, city data integration and a mobile application for two-way communication “city-resident”. During it, an innovative multi-dimensional model of city management will be built, based on operational data from different sensory layers, which will enable short- and long-term decision making.
The proposed information system will be a tool connecting various areas of the commune and its inhabitants. The value of the project will be the result of synergy and integration of data from many heterogeneous sources, i.e. information on road traffic, air pollution, weather. By finding correlations between these data, it will be possible to identify the causes of pollution, but also to build a model advising the optimal development of the commune.
The main important tasks for the Faculty are the following :
Activity 1. Support in launching system of digital cameras, air quality sensors, and intelligent lighting.
Activity 2. Development of the concept of data integration;
Activity 3. Verification of the availability of data from the environment;
Activity 4. Development and implementation of a system integrating data about the city and an application for communication with residents oriented towards people aged 60+;
Activity 5. Building tools for scientific data analysis;
Activity 9. Generalization of the results of scientific research.