Irregular 3D Structure Safety Management: Real-time location tracking and intelligent rescue control

In tetrapod breakwaters and other irregular large-scale structures, the geometry itself makes it extremely difficult to locate injured people quickly after a fall. Standard 2D video monitoring cannot fully remove the shadows and blind spots created between large structural forms, and at night or in severe weather it becomes even harder to determine the exact accident point. A higher-level monitoring approach was needed to fuse spatial data and support active rescue decisions.

To overcome those spatial constraints, LiDAR distance data and real-time CCTV imagery were mapped together into a 3D spatial-intelligence architecture. Risk-evaluation algorithms analyze movement patterns inside irregular spaces and quantify abnormal situations in real time, producing precise 3D coordinates as soon as dangerous behavior or sudden displacement is detected. That location data is then sent immediately to control centers and rescue organizations through an intelligent workflow layer.

LiDAR-based 3D sensor fusion pushed location-tracking precision within complex structural space to within 10 cm, even where visual identification is nearly impossible. By passing precise victim coordinates and field data directly to rescue teams, the system reduced initial search and rescue lead time by more than 70%. This created a leading model for intelligent unmanned safety governance in non-standard infrastructure environments.