Application-Aware Recognition
Identifies excavation machinery, pig passage, mining equipment, heavy vehicles, and background vibration according to the selected model.
A solar-powered intelligent monitoring node that converts ground vibration into classified, located, and traceable field events for long-distance oil and gas pipeline protection, cleaning-pig passage detection, and illegal mining detection.
The yellow monitoring unit is installed above ground. Its red high-sensitivity vibration sensor is buried in the surrounding soil near the monitored route or boundary. The sensor captures vibration and acoustic energy transmitted through the ground while the edge processor identifies application-specific events.
Field sensing, edge intelligence, visual verification, communications, positioning, and independent power are integrated in one compact system.
Identifies excavation machinery, pig passage, mining equipment, heavy vehicles, and background vibration according to the selected model.
Combines continuous low-power acquisition with Linux-based edge processing, classification, and local event management.
Automatically captures site photos and video for intrusion and mining events, helping operators verify activity remotely.
A top-mounted solar panel and low-temperature lithium battery support unattended use in locations without utility power.
Uploads event type, time, device status, imagery, and position to the monitoring platform or control center.
IP65 protection and a -40°C to 70°C operating range support long-term deployment in remote outdoor environments.
The same hardware architecture can be configured with different event models, deployment logic, alert rules, and evidence workflows.
Monitor selected high-risk sections along long-distance transmission pipelines. Detect excavators, breakers, drilling equipment, heavy vehicles, and unauthorized ground activity before buried assets are threatened.
Deploy monitoring nodes at selected checkpoints to record the characteristic signal as a cleaning pig approaches, passes, and moves away, providing passage-time and route-progress references for field teams.
Identify abnormal vibration from excavators, drilling rigs, breakers, and heavy vehicles around selected mine boundaries or protected resource areas, then activate remote visual verification.
Final quantity and spacing depend on the application, soil, burial depth, background vibration, terrain, communications, and required response time.
Nodes can be several kilometers apart when deployed at selected control points or priority sections.
Spacing may be reduced to several hundred meters near road crossings, active construction, historical incident points, or pigging checkpoints.
Nodes are placed around selected access routes, excavation-prone areas, and boundary sections based on site testing.
The monitoring platform centralizes multi-region field nodes and converts each valid signal into operational information for review and response.
| Sensor Configuration | High-sensitivity geophone / ground-vibration sensor |
|---|---|
| Typical Detection Distance | 0–100 m; actual range depends on soil, burial depth, event energy, background vibration, and site testing |
| Frequency Response | 10–200 Hz |
| Sampling Rate | 500 Hz |
| Edge Computing | MCU + ARM architecture, Linux operating system, local event analysis and classification |
| Visual Monitoring | Dual 1920 × 1080 HD cameras; automatic capture supported on configured alerts |
| Power System | Top solar panel up to 5 W + built-in DC 4.2 V, 22.5 Ah low-temperature lithium battery |
| Power Consumption | Monitoring mode < 30 mW; communication mode < 2 W |
| Communication & Positioning | 4G wireless communication; BeiDou + GPS dual-mode positioning |
| Data Interface | HTTP standard protocol; project-specific platform integration available |
| Protection & Environment | IP65; operating temperature -40°C to 70°C |
| Dimensions & Weight | 186 × 209 × 137 mm; weight < 2.5 kg |
| Installation | Monitoring host installed above ground on a field support or pipeline marker post; red vibration sensor buried in the surrounding soil near the monitored route |
Specifications and project configuration may vary by communications network, environmental conditions, event model, and deployment requirements. Final sensing range and node spacing should be verified through site assessment or pilot testing.
No. The red vibration sensor is buried in the surrounding soil near the underground pipeline. It does not touch, clamp onto, or connect directly to the pipe wall.
The buried sensor records vibration and acoustic energy transmitted through the soil as the pig approaches, passes, and moves away from a selected monitoring point. Edge algorithms identify the characteristic passage signal and provide a time-and-location reference.
There is no universal fixed interval. In remote, low-population areas, selected nodes may be several kilometers apart. At road crossings, construction zones, populated areas, pigging checkpoints, or other high-risk locations, spacing may be reduced to several hundred meters after site evaluation.
Yes. The system supports HTTP-based data exchange and can be integrated with a control center, SCADA environment, or project-specific third-party platform according to interface requirements.
Share the application type, route or boundary map, critical locations, environmental conditions, 4G coverage, and platform requirements. HERTZINNO can prepare a risk-based node layout and pilot recommendation.