Propuesta de integración de inteligencia artificial en LOTOTO para la prevención de incidentes industriales

Abstract

CONDITION FOR PUBLICATION OF PROJECT. This thesis proposed the integration of artificial intelligence (AI) tools into the Lockout-Tagout-Tryout (LOTOTO) procedure to improve the control of hazardous energy and prevent industrial incidents at a concrete manufacturing company. The study arose from the identification of gaps between the formal existence of the LOTOTO procedure and its effective application in the field, especially during maintenance activities in the mill area, where human errors, omissions in critical steps, and deficiencies in verifying the zero-energy state persisted. The research adopted a descriptive, field-based approach, considering a sample of 40 employees from the operations and maintenance areas. Through surveys, interviews, and direct observation, the levels of compliance with LOTOTO, the staff's perception of its usefulness, and opportunities for improvement through the use of an AI application were analyzed. The results showed widespread acceptance of the technology, highlighting its potential to validate critical steps, detect omissions, generate preventive alerts, and ensure the traceability of each intervention. As a central proposal, a modular and scalable application was designed for mobile and web devices, guiding the user step-by-step through the execution of the Lockout/Tagout (LOTOTO) procedure. The system integrated a secure backend for data management, user profiles, and automatic logging, along with artificial intelligence modules that supported lockout validation, residual energy verification, and continuous improvement through the analysis of historical data. Finally, it was concluded that the integration of artificial intelligence into the LOTOTO procedure strengthened operational control, reduced exclusive reliance on the human factor, and significantly contributed to improving workplace safety, operational efficiency, and a preventative culture within the organization. Keywords: Artificial intelligence; LOTOTO; industrial safety; hazardous energy control; Industry 4.0.