Firefighters engaged in fire suppression and rescue operations are continuously exposed to complex hazards, including high temperatures, toxic gases, oxygen deficiency, limited visibility, and the risk of structural collapse. In particular, during indoor fires and operations in confined spaces, firefighters rely entirely on self-contained breathing apparatuses (SCBAs), and the accurate awareness of remaining air supply and remaining usable time becomes a critical factor directly linked to survival. However, conventional SCBA-based safety-management systems are primarily designed around auditory alarms triggered by air-pressure reduction, which present structural limitations in high-noise environments and fail to comprehensively reflect surrounding environmental hazards. Against this background, this study analyzes a patent titled "Smart Firefighting Information Provision Apparatus and Method" (Korean Patent Application No. 10-2025-0145578), with the aim of systematically organizing the configuration and operational principles of the proposed system and examining its structural characteristics. The analyzed technology is centered on a wearable information-provision device designed to integrate remaining air supply of the SCBA, estimated remaining usable time, environmental hazard factors, and evacuation decision information through a head-up display (HUD)-based visual interface. In addition, the patented technology includes an information-provision workflow that processes environmental data collected from multiple sensors-such as temperature, radiant heat, and toxic-gas concentration-in a stepwise manner to assess hazard conditions and to calculate evacuation thresholds based on safety-related information. Furthermore, the system proposes an integrated architecture that links the wearable device with external servers and command centers, enabling the simultaneous consideration of individual-level safety management and organization-level situational awareness. As a patent-based structural analysis study without experimental validation or performance evaluation, this work aims not to empirically verify system effectiveness but to systematically interpret the design logic and operational characteristics of the proposed technology. The findings provide a foundation for future empirical research on HUD-based smart firefighting safety systems, the analysis of firefighter cognitive characteristics, and the development of intelligent firefighting support technologies.