No productive sector seems to escape today to the influence of artificial intelligence (AI). Nor does the railway sector. The transforming capacity of this tool, next to the so -called Internet of Things (IoT), is directly affecting vital areas such as predictive infrastructure maintenance and monitoring of fleets in real time for the best user experience.
In a technological market that is experiencing a remarkable evolution in our country, promoted by significant investments, modernization projects and a growing international collaboration, the railway sector is not far behind. Agreements such as Talgo and the Polish PFR Investment Fund, which has been offered as an industrial partner to collaborate in high -speed joint projects in Eastern Europe, are a clear example of this trend.
The Railway Center (CTF) of ADIF has positioned itself as a leading innovation actor in railway infrastructure, promoting the integration of advanced technologies and synergies with various entities to design the future of rail transport in our country. The liberalization of the sector has facilitated the entry of new operators, increasing competition and offering more options to users, which in turn has encouraged the adoption of advanced technologies to improve the efficiency and quality of the service.
Artificial Intelligence in the railway sector
From Scalian Spain, Alejandro Infantes Navarro highlights the improvements in the following processes:
- Predictive maintenance and infrastructure management: IoT and Big Data sensors allow real -time monitoring the state of roads, cars and convoys, programming maintenance before operational inefficiencies that generate high cost failures occur. «No productive sector seems to escape today to the influence of artificial intelligence. Nor does the railway sector, ”says Infantes Navarro.
According to Alejandro Infantes Navarro, expert in rail systems of Scalian Spain, the AI, the IoT and the Big Data are improving the operability, security and experience of the traveler
- Traffic and safety management: Automatic trains control systems (ATO) for CBTC optimize trains circulation, reducing delays and improving rail traffic efficiency. Advanced analytical systems of AI detect tension patterns, deformations and objects on the ways to predict anomalous behaviors preventively.
- Passenger experience: Total connectivity and real -time information make the trip more fluid and comfortable. Applications and digital panels keep the passenger informed about schedules and delays, while the Wi-Fi and USB ports allow you to work or enjoy entertainment without interruptions.
- Energy efficiency and sustainability: The optimization of energy consumption in trains is a key factor for reducing operational costs and the impulse of sustainability. By analysis of energy consumption curves in the different sections, models based on AIs are used that adjust and optimize the conduction profile, allowing minimizing the use of energy without compromising the efficiency of the service.
Scalian has developed an analytical data solution from the convoy that allows analyzing the historical tendencies of energy consumption, as well as an automated vision of anomalous energy. In addition, the company highlights its contribution in solutions that address security, both at the predictive and real time. It is a software that helps AI to detect deformations on real -time roads, caused by temperature changes, among other factors. The early detection of these problems not only saves costs, but also saves lives.
In short, these tools, shortly after their implementation, become essential, while continuing to improve and complemented with new advances in a sector that is already more intelligent, safe and sustainable.
