With the rapid development of transportation infrastructure, tunnels—as critical nodes in highways, railways, and urban underground transit—face significant safety monitoring challenges:
Complex Environment: Enclosed spaces with large temperature/humidity fluctuations and low visibility limit traditional monitoring methods.
High Accident Risks: Difficulties in real-time warnings for emergencies like speeding, fires, or collapses.
Response Delays: Cloud-based processing relies on network stability, potentially delaying critical decision-making.
Beilai Technology’s BL410 Edge Computing Gateway, powered by the Rockchip RK3568J industrial-grade processor, delivers a lightweight, high-performance, low-latency solution for real-time intelligent tunnel safety monitoring.
Equipped with a quad-core Cortex-A55 CPU and 1TOPS NPU, supporting multi-channel video parallel processing.
On-device AI algorithms enable:
✅ Vehicle recognition (model, speed, violation detection).
✅ Anomaly detection (collapse cracks, fire/smoke warnings).
✅ Real-time accident alerts (collisions, congestion analysis).
Processing latency <200ms, 10x faster than cloud-based solutions.
Wide-temperature operation (-40°C to 70°C), adaptable to high humidity and temperature variations.
Fanless, fully sealed design, dustproof and corrosion-resistant, with MTBF >100,000 hours.
Dual power redundancy + watchdog mechanism for 24/7 uninterrupted monitoring.
Supports RTSP/ONVIF video streams, compatible with mainstream surveillance cameras.
Integrates Modbus/RS485 for environmental sensors (temperature, gas, vibration).
Optional 5G/4G wireless transmission, eliminating wiring challenges in tunnels.
Edge-based data filtering, uploading only critical events (e.g., fire alarm coordinates).
MQTT/HTTPs protocols for cloud platform integration, enabling hierarchical management.
Compact size (110mm×80mm), wall-mountable or DIN-rail installation.
[Tunnel Safety Monitoring System]
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[Edge Sensing Layer] [Cloud Management Platform]
BL410 Gateway Cluster (Big Data Analytics)
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[Video Surveillance] [Environmental Sensors] [Radar Devices] [Emergency Plans] [Historical Tracking] [Multi-Level Coordination]
Data Acquisition Layer: Cameras, mmWave radar, gas sensors, etc., collect real-time data.
Edge Computing Layer: BL410 runs YOLOv5, ResNet, etc., for instant risk identification.
Decision & Response Layer: Triggers alarms, activates ventilation, and alerts control centers.
Infrared thermal imaging + smoke detection algorithms issue warnings 30 seconds before flames appear.
Activates smoke exhaust systems, reducing emergency response time by 60%.
Analyzes vibration sensor data to detect wall cracks or subsidence trends.
Combined with AI visual verification, false alarms reduced to <1%.
Real-time detection of illegal parking, wrong-way driving, etc., with automatic snapshots.
Speed measurement accuracy ±2km/h, >99% violation capture rate.
Safety Upgrade: Early warnings for major incidents (minute-level), 50% reduction in casualties.
Cost Savings: Edge computing cuts 90% bandwidth usage, 70% lower server costs.
Long-Term Reliability: Industrial design ensures 10+ years of stable operation in harsh environments.
Baile Technology BL410: Your 24/7 "AI Safety Guardian" for Every Tunnel
Appendix
Case Study: A mountainous highway tunnel project deployed 32 BL410 gateways, achieving zero major accidents annually.
