In St. Petersburg, the innovative "Gorodovoy" system, based on the use of neural networks, has been put into operation and will be used for the automated detection of ice and icicles on the roofs of non-residential buildings. The development is a leading example of the integration of artificial intelligence into urban management, aimed at improving the safety and efficiency of infrastructure monitoring.
The "Gorodovoy" system operates through eight specialized mobile complexes equipped with high-precision sensors and artificial intelligence-based software. In snowy conditions, these complexes automatically scan the roofs of buildings, analyzing data from sensors and identifying potentially dangerous formations. Upon detection of ice or icicles, building owners are sent instructions on the need to eliminate the identified defects, and in case of non-compliance with the established deadlines, administrative fines of 100 thousand rubles may be imposed.
The effectiveness of the system was confirmed during a pilot project conducted last year. As a result of the work of "Gorodovoy," 21 violations of the rules for maintaining the roof were identified, which led to the imposition of fines totaling 2.1 million rubles. This experience demonstrates the high potential of the system to ensure timely and high-quality monitoring of the condition of the roof.
The State Administrative and Technical Inspection emphasizes the importance of non-residential building owners complying with the requirements for maintaining the roof in winter. It is recommended to conduct regular inspections and timely cleaning of roofs from snow and ice to prevent the formation of dangerous formations.
