Why Is Traditional Bridge Inspection Becoming More Difficult?

As bridge scale continues to grow and maintenance standards keep rising, traditional manual inspection and ordinary drone aerial survey solutions can no longer meet the safety, efficiency and digital management requirements of complex bridge scenarios.

Comparison Item Traditional Manual Ordinary RTK Drone Riejian Solution
Navigation Capability
Relies on human visual observation
GPS failure
SLAM autonomous navigation
Inspection Coverage
Limited to scaffolding range
Cannot enter box girders
Full component coverage
Detection Capability
High manual detection error
No AI analysis
Automatic AI identification
Data Management
Data cannot be accumulated
Photos only
Digital asset archives
Safety Risk
High-altitude danger
High safety factor
Zero safety risk
Traffic Impact
Long road closures
Minimal impact
No road closure needed

Bridge Inspection ≠ Ordinary Aerial Survey

Bridge inspection is not simply "fly around and take photos".
Real bridge inspection requires solving engineering challenges such as autonomous flight in complex spaces, positioning without GPS, intelligent defect identification, and digital deliverable generation.

Ordinary Aerial Survey

AI defect detection

Depends on GPS Signals

Weak or no GPS signals under beam bottoms and inside box girders make precise positioning impossible

Cannot Enter Box Girders

Ordinary drones cannot autonomously navigate and avoid obstacles in confined spaces

Requires Manual Control

Requires professional pilots and cannot achieve fully autonomous inspection

No Automatic AI Detection

Can only take photos, cannot automatically identify and analyze bridge defects

Cannot Produce Standardized Deliverables

Lacks standardized data analysis and report generation capabilities

Riejian Core Technologies

Four core technologies build an industry-leading intelligent bridge inspection solution

01 GPS-Free Autonomous Navigation

Precise Autonomous Flight Even When GPS Is Denied

For satellite-signal-denied environments such as bridge beam bottoms and box girders, Riejian's self-developed multi-sensor fusion SLAM navigation algorithm combines vision, LiDAR and IMU data to achieve centimeter-level precise positioning and stable hovering. The drone can complete autonomous flight and intelligent obstacle avoidance in complex bridge environments without relying on GPS.

≤2cm
Hover Accuracy
GPS-Free Flight
Autonomous Obstacle Avoidance
GPS-free autonomous navigation
Core Technology
02 AI Defect Detection

AI Automatically Identifies Bridge Defects

Based on deep-learning defect detection models, the system automatically identifies multiple typical defects including cracks, corrosion, spalling and honeycomb, while automatically completing location marking, dimension quantification and severity analysis. Compared with traditional manual review, it greatly reduces miss rates and manual workload.

200K+
Training Samples
≥95%
Detection Accuracy
0.1mm
Crack Detection
AI defect detection
Intelligent Analysis
03 Digital Twin Modeling

Build Digital Asset Models of Bridges

Combining laser point clouds and high-definition image data, quickly generate high-precision 3D digital twin models of bridges, achieving precise mapping between defect locations and bridge structures. Managers can directly view defect distribution, historical changes and maintenance records in the 3D model.

2cm
Modeling Accuracy
3D Positioning
Full Lifecycle
Digital twin modeling
Digital Twin
04 Full-Process Automated Inspection

From Flight to Report, Fully Automated

The system covers the entire process of route planning, autonomous flight, data collection, AI analysis, 3D modeling and report output, without requiring manual real-time control or defect review. Truly achieving standardized and digitalized bridge inspection.

8-10x
Efficiency Gain
1-2 Days
Inspection Cycle
Unified Management
Full-process automated inspection
Automated Process

Standardized Bridge Inspection Workflow

Focused on transportation infrastructure engineering scenarios, Riejian has built a complete standardized inspection system to ensure complex bridge projects are replicable, implementable and acceptable.

Field Data Collection

01

Fully Automatic Drone Route Flight

Drones fly autonomously along preset reusable routes, completing full-bridge HD image collection. A 500-meter-level bridge can yield nearly 100GB of complete data.

Autonomous Flight Full Data Set

Digital Twin Modeling

02

Multi-Source Data 3D Reconstruction

Supports oblique photography, LiDAR and BIM model import, completing multi-source 3D reconstruction to form a standardized digital twin foundation.

Oblique Photography LiDAR BIM

AI Analysis & Management

03

Intelligent Defect Identification & Mapping

AI screening of defects from 200K+ samples, precise mapping onto the 3D model, plus multi-period data aggregation and historical comparison.

AI Detection 3D Mapping

Closed-Loop Delivery

04

Compliant Reports & Asset Archives

Rule-based compliant inspection report output, platform data aggregation and historical comparison, supporting automated compliance rating and maintenance decisions.

Compliant Report Asset Archive

Typical Application Scenarios

Suitable for safety inspection and health monitoring of various bridge structures

Emergency response case Emergency Response

Emergency Bridge Inspection After a Major Rainstorm

After a major rainstorm in a city, drones were used to rapidly inspect 20 bridges for safety, promptly identifying 3 major potential hazards.

Routine operation case Routine Operation

Periodic Inspection of a Large Cross-Sea Bridge

Provided quarterly inspection services for a large cross-sea bridge, achieving full-structure coverage and building a bridge health archive.

Project Acceptance

Handover Acceptance Inspection of a Newly Built Bridge

Provided handover acceptance inspection for a new urban landmark bridge, with results meeting the JTG 5120-2021 standard.

Deliverables List

Seven standardized deliverables ensure complete and traceable inspection work

Bridge Inspection Report

Standardized inspection report compliant with JTG 5120-2021, including detailed defect descriptions and recommendations

Defect List

Detailed defect list including location, type, dimension and severity information

Health Assessment Report

Bridge structural health assessment including technical condition rating

Maintenance Recommendation

Targeted repair and strengthening recommendations with engineering quantity estimates

HD Image Archive

Original HD image materials including defect close-ups and panoramic photos

3D Model

Real-scene 3D model of the bridge supporting 3D visualization and interactive browsing

Database Archive

Electronic archive of inspection data, supporting integration with bridge management systems

Solution Value & Customer Benefits

Creating value for customers across four dimensions: safety, efficiency, cost and management

0
Safety Assurance

Eliminates manual high-altitude work risks and ensures inspector safety

0
Efficiency Gain

Greatly improves inspection efficiency, shortens cycles and reduces traffic impact

0
Cost Savings

Lowers inspection costs, reduces equipment investment and optimizes human resource allocation

0
Management Improvement

Standardized data management supporting long-term monitoring and trend analysis

Experience It Now

Book a free demo and experience the powerful capabilities of Riejian's drone bridge inspection solution

Free Demo

Apply for a free demo and our technical experts will show you the real-world results of the solution.

Custom Quote / Technical Consultation

Based on your specific needs, we provide personalized solutions and quotes to ensure the best value.

White Paper Download

Download the "Drone Bridge Inspection Technical White Paper" to learn about industry-leading technology and best practices.