Farewell to blind monitoring: How can millimeter - wave radar achieve zero false negatives in preven

Traditional surveillance systems suffer from the problems of "near objects appearing larger and farther objects smaller" and "blind spots."

In the routine operation and maintenance of power transmission lines, preventing external damage has always been of paramount importance. However, many operation and maintenance managers often face the following dilemma:

In severe weather, it malfunctions: In rain, snow, hail, or dense fog, traditional visual images become blurry, rendering the monitoring system "blind."

Frequent false alarms are driving the backend crazy: The swaying of tree shadows and the passing of birds frequently trigger alarms, causing real crane and excavator intrusions to be buried in a sea of ​​invalid information.

Lack of distance perception: Due to the "near objects appear larger and farther objects appear smaller" characteristic, cameras have difficulty accurately determining the true physical distance between objects and wires, and cannot accurately delineate restricted areas.

These problems not only increase the cost of manual verification, but also pose a huge hidden danger to power grid security. True prevention of external damage requires a smart eye that can "see clearly" the distance and is online "around the clock".

In-depth professional analysis: Millimeter-wave radar + AI, building a "three-dimensional protection network" for the power grid.

To completely solve the problem of external damage, the industry is transforming from single-dimensional visualization to multi-dimensional sensor fusion.

1. 76-81GHz millimeter-wave radar: a "precision ruler" for ranging.

Unlike cameras, millimeter-wave radar emits short-wavelength electromagnetic waves to acquire the distance, angle, height, and speed of targets in real time. It can detect movement with millimeter-level accuracy and delineate electronic fences within a 30-meter (configurable) range of wires, truly enabling the quantification of hazard distances.

2. "Double Check" Logic: Ending the Problem of False Alarms

A single radar is easily interfered with by static objects, and a single AI is easily affected by lighting conditions. Dual verification technology combines the two:

Radar triggers AI: When the radar detects a moving object, it triggers AI to perform image recognition.

AI-triggered radar: When AI detects a suspicious object, it calls upon radar for precise distance measurement. An alarm is only sent when both systems determine a threat, increasing the identification accuracy to over 95%.

Millimeter-wave radar online monitoring device for external damage prevention of power transmission lines—the "guardian" of the smart grid.

Addressing the aforementioned industry pain points, Guangxi Dinghe Innovation Technology Co., Ltd.'s DH-WPS100-JG3 online monitoring device for external damage prevention of power transmission lines, with its robust parameters, has become the optimal choice in the field of external damage prevention for power lines.

All-around perception, fearless in the dark of night and the storm:

This device employs a starlight-level ultra-low-light lens (0.002 Lux) coupled with 8-megapixel ultra-high-definition image quality, enabling detailed observation even in low-light environments. Combined with radar technology, it can accurately detect potential targets even in extreme environments such as darkness, rain, and fog.

10-700 meter ultra-long monitoring radius:

The device's radar module has a maximum measurement range of no less than 800 meters and can effectively identify construction vehicles of various sizes and speeds, such as cranes, excavators, and loaders, within a wide range of distances.

Extreme battery life: Supports 30 days in no sunlight.

To address the challenges of remote power lines and difficulties in recharging, the DH-WPS100-JG3 employs a power supply system combining solar energy, lithium iron phosphate batteries, and supercapacitors. Even in complete darkness, it can provide continuous power for 30 days, ensuring uninterrupted monitoring.

Intelligent linkage and interaction:

It can not only transmit alarm images in real time, but also automatically overlay the location information of potential hazards, and support the timely linkage of images, voice and warning lights to deter intruding vehicles on site.

Typical application scenarios

Construction machinery construction area: Automatically filters out vehicles that have been parked for a long time, and only provides real-time alarms for excavators and cranes that are in operation or undergoing hot work.

Tree obstacle monitoring: Quantitatively detect the height of long-term growing trees to provide early warning of electrical discharge risks.

Large gear gap crossing area: solves the awkward situation caused by the excessive gear gap of traditional solutions, which makes it difficult to capture close-up shots and unclear distant objects.