The bridge collision prevention system is an early warning and alarm system designed to monitor waterway vessels and protect bridge safety. It consists of a series of sensors, data acquisition devices, communication equipment, and backend management devices, including data platforms, device layers, business modules, and application systems. This system accurately collects, stores, and analyzes front-end perception data, issuing timely warnings. Users can monitor vessel navigation in real-time via the system platform and make informed management decisions.

Traditional Bridge Collision Prevention Technologies
Infrared thermal imaging creates heat-based images based on target radiation characteristics, combined with image processing algorithms to detect and identify vessels. While effective for nighttime detection and clear thermal source identification, it is susceptible to atmospheric attenuation (e.g., fog, rain, dust) and occlusion, making it difficult to accurately capture targets when obstructed or under reflective light conditions.

LiDAR emits short-duration, broad-spectrum laser pulses to illuminate target areas, acquiring 3D information through ranging principles. Combined with images and other data, it enables vessel detection and identification. Although it offers high-precision ranging, it has poor environmental adaptability. Detection range significantly degrades in heavy rain, fog, or snow. Additionally, its complex mechanical structure and high cost make it less accessible.

Cameras capture visual information of targets using imaging principles and image processing algorithms. When combined with other sensors, they can detect and track vessels. While providing high-quality images and direct visual data, their detection range is limited (target recognition rate declines beyond 100 meters). They are also prone to false alarms and missed detections due to weather, external environments, and visibility issues.

In summary, traditional bridge collision prevention technologies face challenges such as susceptibility to environmental interference, limited detection range, and inability to prevent occlusion.
Millimeter-Wave Radar-Based Active Bridge Collision Warning System
The millimeter-wave radar-based intelligent bridge collision warning system offers advantages such as all-day/all-weather operation, long-range coverage, and rich target information. It enables early detection of distant vessels and proactively issues warnings for various risky behaviors through trajectory tracking and management. This enhances the safety of bridges and waterways, effectively preventing accidents caused by deviating vessels colliding with bridges.

Operators can accurately monitor real-time navigation conditions in bridge areas and guide vessels safely through. In cases of vessel deviation or exceeding height limits, warnings are issued via VHF, AIS, audio-visual alarms, display screens, and phone calls to prompt corrective actions. The system also includes features such as historical trajectory playback and video capture replay, enabling accident reconstruction and clear situational.

Bridge Guardian—Nanoradar WTR1500W Bridge Collision Warning Radar
The WTR1500W is a K-band wide-beam area waterway monitoring radar developed by Nanoradar. It employs FMCW modulation and advanced technologies such as TBD, PDA, JPDA, MIMO, MTD, STAP, EKF, micro-Doppler sensing, neural network-based environmental cognition, and integrated transceivers. It precisely detects the distance and angle of moving targets while effectively filtering out water wave false alarms. Key features include high sensitivity, wide detection range, strong environmental adaptability, accurate detection, easy integration, stable performance, and high cost-effectiveness. It provides early warnings, ensuring all-day, all-weather security and trajectory monitoring for critical facilities. It is widely used in bridge collision prevention, waterway checkpoints, inland river fishing, ports, marine ranches, offshore platforms, and wind farms.

Product Highlights
All-Day, All-Weather Operation
IP66 protection rating, adaptable to rain, snow, fog, dust, smoke, and other harsh conditions, ensuring 24/7 real-time protection.

Active Warning and Multi-Layered Protection
Radar actively issues warnings, integrates with video alerts, locks onto targets in real-time, records alarm information, and connects to control centers. Provides warnings and alerts for deviations, boundary breaches, and entries into non-navigable zones.

Intelligent and Reliable
Wide 90-degree detection angle, maximum range of 1,500 meters, and ranging accuracy of ±3 meters. Enables precise detection of small vessels in large water bodies.
Web-based one-stop management, plug-and-play operation without configuration. Intelligent one-click scene switching for sunny days, rainy days, bridges, and more, ensuring exceptional ease of use.
Anti-occlusion capability detects intentional radar blocking and triggers alarms.

Low False Alarm Rate

Environmental Learning and False Alarm Reduction: Cognitive radar technology integrates brain science and AI, enabling the system to perceive, understand, learn, reason, and make decisions. This adaptability enhances performance in complex and changing electromagnetic environments.

False Alarm Suppression in Rain and Wind: Algorithm optimization reduces false alarms during adverse weather.

Automatic Water Clutter Filtering: Algorithms automatically filter water surface clutter to prevent false alarms.

RVSM Rapid Fusion and Seamless Integration

Excellent Compatibility: Supports 10+ mainstream brands such as Hikvision, Dahua, Uniview, Keda, and Jingyang. Compatible with various databases and RTSP standards.

Rich API Interfaces: Provides standard SDK interfaces supporting international protocols like MODBUS and ONVIF.

Seamless Integration: Offers protocol documentation support for third-party platforms, enabling various communication methods such as TCP and HTTP. Flexible interfaces simplify customer integration.