A Digital Architecture Toward an Integrated Job Site Ecosystem for Overhead Lines Stringing

Traditionally, stringing job sites of OHLs (overhead lines) extend over significant distances— often several kilometers—and rely on manual coordination between operators through voice communication, typically via walkie-talkies. This approach introduces operational risks, inefficiencies, and delays in anomaly management. The project proposes a new paradigm: a distributed connection system among machines, equipment, and operators, inspired by IoT

(Internet Of Things, refers to a network of physical objects that are connected to the internet and capable of collecting, exchanging data and interact each other autonomously without the direct human intervention) principles already applied in high-tech sectors such as aerospace and

Formula 1.

The solution enables operators to remain constantly connected with each other and with the machines, sharing real-time operational parameters across the entire job site. Each station can view the status of the others, improving coordination and reducing voice communication. Additionally, key machines—Pullers and tensioners—can autonomously exchange operational and fault data, allowing quick and targeted responses from operators, even without direct interaction.

The system ensures stable and effective coverage over distances suitable for overhead stringing job sites, without relying on cellular networks. The selected technology, featuring bandwidth for high-speed data transmission and latency below one second, ensures a continuous flow of information, even in complex environments. Machines are already digital-ready, equipped with

CAN (Controller Area Network, is a communication protocol that allows electronic devices and controllers to exchange data reliably over a shared bus, commonly used in vehicles and industrial systems) interfaces and advanced displays. Sensors and cameras on the head board allow real-time monitoring of conductor tension and improve conductor entry into pulleys, enhancing control and safety without requiring extra personnel along the line.

The concept has been successfully tested in two scenarios: first in the test field, then in a real high-voltage stringing job site. After validation, the project achieved Technology Readiness

Level 8 (TRL 8), meaning it has been successfully demonstrated in real operational conditions.

This confirms the technology is fully integrated, tested, and ready for final qualification and deployment. TRL 8 reflects high reliability and places the solution close to full industrial implementation (TRL 9).

This project represents a concrete first step toward the job site of the future, paving the way for further developments aimed at intelligent automation. Work is already underway on the system’s evolution, with the goal of identifying and implementing functions that can be autonomously managed, in order to further enhance efficiency, safety, and sustainability. At the same time, is being developed a solution tailored to the needs of the sector, which—amid a period of rapid growth—is facing a significant shortage of skilled labor. Intelligent automation thus emerges not only as a technological opportunity, but also as a concrete response to a structural challenge in the market.