How does the early - warning system for preventing external damage to power lines build a solid safe

With the acceleration of urbanization and the large-scale construction of various infrastructure projects, construction work near power transmission line corridors is becoming increasingly frequent. Among these projects, large construction vehicles such as tower cranes, cranes, and excavators are undoubtedly the "number one killer" causing power line tripping and disconnections.

These large machines are not only enormous in size, but their operating arms are also extremely long. A slight mishap could cause them to exceed the safe distance, triggering electrical discharges or even severing power lines. How to accurately defend against these behemoths is currently the most challenging problem in the work of preventing external damage to power lines.

Challenges in external defense: How to distinguish between "real threats" and "false alarms"?

In actual line maintenance, the most frustrating thing for maintenance personnel when monitoring construction machinery is not that they "cannot see" it, but rather that there are "too many alarms" and "too many false alarms." A typical scenario is as follows:

Long-standing non-external damage hazards (such as parking lots): If there happens to be a parking lot for construction machinery near the power transmission channel, traditional monitoring systems cannot determine whether vehicles are in operation. As long as an excavator appears on the screen, it will keep alarming, causing maintenance personnel to eventually become desensitized to the alarms.

Distance misjudgment leads to false alarm: An excavator is safely working 200 meters away from the guide wire, but due to the visual difference of "near is larger and far is smaller" in traditional camera images, the system mistakenly believes that it is directly below the guide wire, thus triggering an invalid emergency alarm.

Therefore, a qualified early warning system for preventing external damage must not only be able to "recognize" the excavator, but also be able to accurately determine how far it is from the guide wire and whether it is in a mobile operation state.

Precision Strike: The "Dimensional Reduction" Strategy of AI Edge Computing + Millimeter-Wave Radar

In order to accurately prevent these engineering "killers," GuangxiDinghe InnovationThe technology company has launched a millimeter-wave radar online monitoring device for preventing external damage to power transmission lines (model: DH-WPS100-JG3), which completely solves the problem of false alarms in complex construction scenarios through two core technologies.

Millimeter-wave radar online monitoring device for external damage prevention of power transmission lines

First layer of defense: High-precision AI target recognition with an accuracy rate of ≥95%. Our device incorporates a powerful AI edge computing module and is equipped with an external force damage target recognition algorithm trained on massive amounts of samples. The system can accurately classify objects in the scene in real time and automatically. Regardless of the size, speed of movement, or distance of external damage targets such as cranes, excavators, tower cranes, and loaders, the system's reliable recognition and accuracy rate are no less than 95%.

The second layer of defense: Precise radar ranging and filtering out invalid alarms is our core differentiating advantage. When AI identifies an excavator in the image, the system immediately activates the millimeter-wave radar module. The radar accurately calculates the actual physical distance between the excavator and the guide wire (not only the horizontal distance, but also the complex spatial relative distance).

On-demand high-frequency monitoring: The system can be set to detect potential hazards (e.g., within 30m of a nearby wire). The system will only initiate high-frequency monitoring every 2 minutes and capture and transmit images when the radar detects that an excavator has entered this set danger zone.

Intelligent filtering of static targets: For typical scenarios, such as tower cranes and cranes operating in the vicinity of the passage, the system can automatically eliminate and remove long-standing non-external damage hazards in the passage (such as vehicles parked in the construction machinery parking lot), greatly reducing false alarms.

Linked deterrence: nipping potential hazards in the bud. Upon detecting a hazard, the system can accurately capture external targets and promptly link them with video, voice, and warning lights. When an excavator approaches in danger, the on-site device will immediately flash warning lights and play a high-decibel voice warning (e.g., "High voltage danger, please stop construction immediately!"). At the same time, an alarm map with radar coordinate information will be transmitted to the IoT management platform, forming a perfect defense loop.

When dealing with high-risk construction machinery such as tower cranes and excavators, relying solely on manual monitoring and ordinary cameras is far from sufficient. Only by adopting an early warning system for preventing external damage that integrates AI image recognition and precise radar ranging can we truly achieve "accurate identification, precise ranging, rapid early warning, and swift removal."

Make sure every illegal construction operation has nowhere to hide! Want to drastically reduce line tripping rates and minimize unnecessary on-site inspection costs? Call our technical experts now for a customized solution tailored to your needs!