Development of intelligent software and hardware system for monitoring, visualization and analysis of urban data using a network of mobile sensors

Project Manager: Didar Yedilkhan 

Source of funding: GF for Young Scientists MSHE RK ​ 

Years of implementation: 2024–2026  

Funding volume: 90 000 000 tenge 

Project goal: creation of an intelligent system for monitoring air quality and noise levels based on a network of mobile sensors, with analysis of spatio-temporal data and visualization of results for making targeted decisions by the city administration. 

Project relevance: the project is aimed at solving the current environmental problems of Astana – air pollution and high noise levels, which directly affect the health of citizens. The system based on mobile sensors, IoT and cloud technologies will allow real-time collection and analysis of spatio-temporal data, as well as forecasts and visualizations. This will provide more accurate control over the environmental situation and will help the administration take timely measures. The solution is cost-effective and can be scaled up for other cities. 

1. Literature review and analysis of modern solutions and research works in the field of collection, analysis and visualization of spatio-temporal data in real time using mobile sensors, IoT solutions, cloud storage systems and machine learning. 
2. Design of architecture and development of an intelligent system for monitoring, evaluating and analyzing urban data in real time using mobile sensors. The system will include an algorithm for moving mobile sensors using the example of Astana using graph theory and solving the optimization problem to cover many points in minimal time and movement.
3. Analysis of spatio-temporal data on air quality and noise levels in real time. Statistical analysis and model building will allow us to obtain patterns, find template features and strong deviations, build a correlation of air pollution and noise indicators in Astana. Based on the data, a predictive model will be built using machine and deep learning algorithms.
4. Interactive visualization of the results of collecting and analyzing urban data in a single intelligent system, including the results of the forecasting model on the map of Astana. The system will serve as a convenient and intuitive interface for ordinary users and the city administration.
5. Research into the impact of air pollution and high noise levels on human health with reference to location, time of day and season based on international standards.
6. Publication of at least 2 (two) articles in peer-reviewed scientific journals indexed in the Science Citation Index Expanded of the Web of Science database or having a CiteScore percentile in the Scopus database of at least 50 (fifty), and at least 2 (two) articles in peer-reviewed scientific journals recommended by the KOKNVO, and at least 1 (one) patent for an invention (including a positive decision on it).

1. 1. Literature review and analysis of modern research in the field of collection, analysis and visualization of spatio-temporal urban data in real time.
2. Conceptual architecture of an intelligent hardware and software system for monitoring, assessment and analysis of urban data on air quality and noise levels.
3. Results of the analysis of urban data, patterns and anomalies in the data, as well as the results of the analysis of the correlation of air quality and noise levels from other socio-economic indicators.
4. Optimal algorithm for moving a mobile sensor network in Astana to measure air quality and noise levels, taking into account the terrain features.
5. A predictive model for assessing the level of air pollution and noise in Astana for several days ahead using additional open datasets.
6. An intelligent information system for monitoring, visualization and analysis of urban data with a user-friendly interface and a visual map of the level of air pollution and noise in Astana
7. A set of detailed recommendations for air quality and noise levels in certain locations in the city and an overview of the impact of the indicators on the quality of life of city residents.
8. At least 2 (two) articles in peer-reviewed scientific journals indexed in the Science Citation Index Expanded of the Web of Science database or having a CiteScore percentile in the Scopus database of at least 50 (fifty), and at least 2 (two) articles in peer-reviewed scientific journals recommended by the Committee on Scientific Research and Academic Excellence, and at least 1 (one) patent for an invention (including a positive decision on it).

1. A comprehensive architecture and structural model of a real-time data collection system using the Internet of Things technology from mobile sensors have been developed. 
2. A comprehensive architecture of a hardware and software system has been developed indicating the technologies used and integration options. 
3. A structural model for collecting data from a mobile set of sensors and transmitting information to a cloud data storage system has been developed. 
4. A literature review, analysis and scientific substantiation of the proposed comprehensive architecture of the hardware and software system and a structural model for data collection have been prepared. 
5. An optimal algorithm for moving a mobile sensor network in Astana has been developed using graph theory and open mapping interfaces. 
6. An article on the topic “Analysis and assessment of air quality in Astana: comparison of pollutant levels and their impact on health” has been published in the journal recommended by the KOKNVO RK – “Scientific Journal of Astana IT University” 
7. A comprehensive system for collecting data on air quality and noise levels in dynamic mode has been developed. 
8. A structural model and algorithms for collecting, analyzing and visualizing data from a mobile set of sensors have been formulated. 
9. The results of testing the system and a data set for Astana have been provided. 
10. An article on the topic of “Spatio-Temporal Analysis Of Air Quality And Noise Pollution: Advanced Statistical Methods And Predictive Modeling” has been published in the journal recommended by the KOKNVO RK – “Vestnik VKTU”. 
11. An article on the topic of “Comparative Analysis of IoT Wireless Technologies Communications through Experimental Simulations” has been published in the journal cited in the Scopus database – “Procedia Computer Science”. 
12. An article on the topic of “Intelligent model for finding the optimal route to cover all streets with movement restrictions” has been published in the journal cited in the Scopus database – “International Journal of Information and Communication Technology”.