Ferrovial and Connected Works Drive Efficiency in Earthmoving

In major infrastructure works, earthmoving is one of the most costly and complex items to manage. Traditionally, the lack of real-time visibility forced decisions to be based on intuition or retrospective data. Ferrovial, through its Digital Hub and in collaboration with Sngular, has broken this barrier with Connected Works, a solution that transforms vibrations into data to optimize fleets and resources.

Within a linear project spanning several kilometers, such as a high-speed rail line, coordinating hundreds of trucks and excavators is a monumental challenge. The main problem lay in "operational blindness": site managers had no way of knowing in real-time if a truck was stopped, loading, or en route, beyond what they could physically see or communicate via radio.

This information void led to reactive and delayed decision-making, generating inevitable bottlenecks and downtime for high-cost machinery. Furthermore, the absence of objective records not only hindered the correct daily sizing of the fleet but also caused frequent discrepancies in invoicing with subcontractors.

The challenge was not just technological, but one of usability: the solution had to work on heterogeneous machinery (owned and rented), in hostile environments, and without complicating the operators' lives.

The implementation of ConnectedWorks transforms the profitability of major infrastructures by achieving a reduction of up to 20% in machinery wait times, thus accelerating execution deadlines.

Unlike standard tracking systems, its differential advantage lies in an exclusive algorithm that analyzes vibrations to automate the traceability of the production cycle (loads, unloads, and transport) without human intervention.

This data intelligence, combined with autonomous plug-and-play magnetic installation hardware, allows digitizing heterogeneous fleets in minutes and facilitates real-time decision-making, replacing manual estimates with precise certification of every cubic meter moved.