Municipal Road Inspection Case: 3D Array Radar Detection

Municipal Road Inspection Case: 3D Array Radar Detection

Quick and accurate detection of road hazards is critical for public safety. A city recently used the LGPR 3D-400AT10 3D Array Radar System to inspect roads, efficiently identifying risks and supporting maintenance plans.

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Technical Edge: Efficiency Meets Precision
The system uses a 10-channel array radar (10cm spacing) to collect dense data simultaneously, boosting resolution. Integrated with RTK positioning, it achieves centimeter-level accuracy for defect locations, ensuring precise matching with real sites. Operates at 20 km/h, covering long distances in one go for maximum efficiency.

The system detects various road defects, including:
(1) Standard radar anomaly patterns in normal pavement layers
Due to layered pavement structure and dielectric differences between materials, normal layers show nearly horizontal linear patterns in wave phases/color maps. Signal strength remains consistent within each layer, appearing stable in images.

(2) Water-rich areas
Higher relative permittivity than surrounding soil; increases with water content. Radar images show strong top reflection, weakened lower signals, continuous phase alignment, and frequency reduced by water’s filtering effect.

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(3) Local compaction issues
Uneven density (e.g., cracks, looseness) creates dielectric differences, reflecting EM waves and producing abnormal radar profiles. Boundary detection: Increased amplitude at uneven interfaces, with phase alignment breaks/bends, longer wavelengths, and distinct signal changes in wave groups.

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(4) Local voids/cavities
Relative permittivity of 1 (vs. soil’s 6–40) creates sharp dielectric contrasts. Causes clear reflection interfaces and slower wave speeds. Radar images show strong signals, abnormal frequency/amplitude/phase shifts, clear multiple reflections below, and possible diffraction at boundaries.

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(5) Rebar, pipelines & regular-shaped anomalies
Complex roads have multiple targets. Array GPR imaging filters out these anomalies (regular shapes) to avoid misjudgment.

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4 Partial Detection Results

Defect 1 info: Depth ~0.5m; Area ~8m²; Type: Structural layer      void; Advice: Regular monitoring.

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Defect 2 info: Depth ~0.5m; Area ~7m²; Type: Pipe-surrounding fractures; Advice: Regular monitoring.


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Defect 3 info: Depth ~0.7m; Area ~9m²; Type: Pipe-surrounding void; Advice: Regular monitoring or drill & grout verification.

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Defect 4 info: Depth ~0.5m; Area ~30m²; Type: Pipe-surrounding fractures; Advice: Regular monitoring or drill & grout verification.

 

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Defect 5 info: Depth ~0.3m; Area ~4m²; Type: Cavity; Advice: Regular monitoring or drill & grout verification.

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Defect 6 info: Depth ~0.3m; Area ~6m²; Type: Cavity; Advice: Regular monitoring or drill & grout verification.

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