HZ-PS-20A

Multi-Parameter Fusion & AI Precision Noise Reduction:
The system utilizes a low-power MCU combined with an ARM architecture processor. The built-in AI deep learning model analyzes geophone signals (10Hz~200Hz) in real-time, accurately distinguishing natural environmental noise from destructive vibrations like excavator operations or manual digging, thereby drastically reducing false alarms.

Ultra-Low Power Consumption & Millisecond Wake-Up: 
Designed for off-grid areas, the power consumption during monitoring sleep mode is extremely low (<30mW). Upon detecting abnormal vibrations, the device wakes up in milliseconds. The built-in 22.5Ah low-temperature lithium battery, paired with the top solar panel, ensures up to 3 months of continuous operation even during consecutive rainy days.

Instant Visual Evidence & Real-Time Alerts:
The equipment features dual 1920*1080 resolution HD cameras. Once the AI confirms an abnormal vibration, the system automatically wakes the cameras to capture photos and videos, securing on-site evidence within seconds. Alerts and live visuals are pushed to the user server in real-time via the built-in 4G module and standard HTTP protocols.

Non-Destructive & Minimalist Deployment:
Featuring a highly modular design (weighing <2.5kg). The bottom of the device provides standardized mounting holes, allowing it to be directly and horizontally locked onto the top of existing pipeline marker posts (encryption posts). No extra poles or ground excavation is required, ensuring simple and theft-resistant installation.