Smart Confined Space Safety Monitoring and Rescue System: An AI-Driven, Multilingual Safety Innovation for Hazardous Work Environments

Abstract

This study introduces an innovative, integrated safety monitoring and rescue management system designed specifically for high-risk confined spaces in industrial environments. The system utilizes wearable health sensors, environmental detection modules, AI-driven predictive analytics, and multilingual alert mechanisms to deliver real-time hazard detection and automatic emergency responses. With a strong focus on inclusivity, it provides communication in native languages, greatly aiding foreign workers who may encounter language barriers during emergencies. Its core features include automatic ventilation management, toxic gas suppression, and mechanical extraction of workers, ensuring quick action in critical situations. The ergonomic design combined with AI-based logic allows for early risk detection before issues escalate. Additionally, the system produces comprehensive incident reports for analysis and safety audits. Based on occupational safety research and aligned with international safety standards, it aims to overcome existing limitations in industrial emergency protocols and foster a more inclusive, proactive safety culture in diverse workplaces.