Advancements in Real-Time Incident Reporting for Construction Sites: A Literature on NLP Applications

Abstract

Construction site incidents show growing concern based on data collected by the International Labour Organization which demonstrates rising frequency of incidents along with severe consequences. The evaluation of research between 2020 and 2024 outlines existing practices, difficulties and prospective uses of NLP and AI to revolutionize incident reporting procedures. The review examines three major sections about present-day operations and Natural Language Processing applications while also analyzing Artificial Intelligence-based severity assessment methods. Through the Litmap system identified a significant problem in connecting NLP technology with immediate incident data entry. A method to analyze site-specific data by conducting surveys uses NLP speech recognition technology alongside AI tools that perform report assessment along with severity classification to develop a real-time alert system. This approach seeks to offer useful information that both enhances safety protocols and enables better decisions at the same time. NLP and AI work together to strengthen occupational safety by assessing sites more efficiently thus lowering accident frequencies and resulting in better safety results. This system provides the potential to lower both accidents and near-miss incidents dramatically during its implementation phase.