Developers: | TGASU (Tomsk State University of Architecture and Construction) |
Date of the premiere of the system: | April 2022 |
Branches: | Transport |
Content |
History
2022: Start of system operation in Tomsk
In Tomsk, the state of roads and bridges began to control artificial intelligence with sensors. This was announced on April 27, 2022 by the press service of the Ministry of Education and Science of the Russian Federation.
Self-learning cyber-physical systems in the process of road construction and bridge repair were used by specialists from Tomsk State University of Architecture and Construction (TGASU). The essence of the development is as follows:
- A system of sensors for collection is installed on the road surface; data
- The system analyzes and systematizes all available information.
It is noted that sensors, equipment and information resources are connected into a single system. At the same time, artificial intelligence has yet to be trained to determine all elements of the bridge structure - supports, spans, beams - after which, using sensors, "teach" the cyber physical system to determine the state of the bridge structure and develop recommendations for its repair.
Pavel Elugachev, head of the Department of Engineering Geology, Bridges and Structures on Roads (IGMiSD), noted that when designing a mechanism, cyber physical systems minimize the routine calculations that artificial intelligence takes on. For example, by combining a cyberphysical system with various sensors, you can monitor the state of roads.
{{quote 'For example, you can map data from a laser scanner to a DVR. Ideally, it is necessary to create such artificial intelligence that would exclude the influence of a person from the process of determining a defect and deciding on the necessary repair of a particular mechanism, road or structure, "explained Boris Shumilov, professor at the Department of Applied Mathematics of TGASU. }} According to Pavel Elugachev, Tomsk scientists already use various sensors - laser beams, ultrasonic signals, pressure sensors - to measure the load on structures. TGASU has developed an algorithm using which it is possible to monitor bridges and other road structures.[1]