Electricity

A modern data collection platform based on modular, predictive software designed to capture and process data from sensors and control systems distributed throughout electricity networks, in conjunction with the LEAX algorithm, with the aim of monitoring assets and providing decision support.

Designed to optimise decision-making processes within electricity networks and to transform data, measurements and analyses into insights and decisions. The aim is to support the selection and planning of effective measures, optimise the use of resources and maximise the value of investments throughout the assets’ lifecycle.

Through real-time monitoring systems, smart sensors, regular inspections and thermographic analysis, it is possible to detect anomalies, overloads and component degradation at an early stage. Constant monitoring helps to prevent faults, reduce energy losses and optimise the management and maintenance of the electrical infrastructure.

An algorithm capable of analysing the infrastructure’s operating parameters in real time, using data collected by sensors installed in the field. By processing this information, the system is able to assess the network’s efficiency, detect anomalies and promptly identify leaks or losses. This approach enables predictive maintenance, reducing breakdowns, wastage and operating costs.

Thanks to optical sensors, thermal imaging cameras and advanced detection systems, drones enable overheating, damage and structural anomalies to be identified quickly and safely. This approach reduces risks to operators, optimises response times and improves the reliability and continuity of the electricity supply.