Predictive maintenance is a technique that uses data analysis to detect anomalies in the operation of equipment and processes. The maintenance of any installation is vital for its proper functioning and, consequently, for achieving operational and financial efficiency within a company, as well as ensuring occupational safety. In addition to digital twins, the monitoring of the grounding system with smart technology carried out by Aplicaciones Tecnológicas is based on sensors that collect data and send it via IoT technology so that trained AI algorithms can detect faults before they occur, thus saving costs and minimising risks.