IPTO launches Digital Maintenance Center

The Center’s design was modeled after the standards of advanced Operators on an international level, leveraging state-of-the-art Artificial Intelligence and Machine Learning digital tools

IPTO has launched its Digital Maintenance Center, a new cutting-edge facility for the real-time monitoring and control of critical equipment and infrastructure within the Power Transmission System.

The Center’s design aligned with the standards set by advanced Operators on an international level, utilizing modern digital tools such as Artificial Intelligence and Machine Learning. The objective is a gradual transition from existing time-based maintenance procedures to predictive and prescriptive maintenance strategies based on actual asset condition.

With the new Digital Center, IPTO is progressively creating a comprehensive and unified hub for the monitoring and management of Transmission System assets. In doing so, the Operator will significantly enhance its operational readiness amid increasing challenges posed by the climate crisis and the growing penetration of stochastic electricity generation units.

The core operational pillars of the Digital Maintenance Center involve the real-time operational overview (Real-Time Operations), the monitoring of the medium-term condition of assets for work planning and the prioritization of potential risks (Asset Health & Analytics), and the effective activation of appropriate restoration procedures, with lower costs and greater safety.

The collection of data, such as the health and performance of electrical infrastructure, which is sent to the new Digital Maintenance Center, is already being carried out through real-time monitoring systems (Online Monitoring Systems), drones, and specialized cameras capable of inspecting Transmission Lines, equipment on transmission towers, and systems installed at Extra High Voltage Centers and Substations.

Through the use of advanced algorithms, the Center processes the information received from the field, immediately identifies anomalies, and prioritizes maintenance actions, while simultaneously analyzing trends related to the evolution of the assets' operational status.