The safe operation of underground assets such as cables and optical fibers is directly related to the normal operation of the city and the livelihood security of thousands of households. For them, the most significant safety hazard is the illegal excavation by construction machinery such as excavators, forklifts, and pile drivers, which can easily damage underground cables and gas pipelines. Traditional warning posts can only provide static identification, with many pain points such as lagging early warning, lack of monitoring, and being easily ignored, leading to frequent accidents of underground asset damage, causing huge economic losses and seriously affecting public safety and the order of citizens' lives.
Guangxi Hai Zhuo Technology has launched the HIZ-SD-BZZ intelligent safety warning post, integrating the core technologies of "quad-eye panoramic + starlight night vision + front-end AI + ultra-low power consumption" into an integrated buried device, achieving a leapfrog upgrade from passive identification to active early warning, and reconstructing the underground asset protection system, providing a new solution for the safe operation and maintenance of underground pipelines in the power and communication industries.
As an intelligent and all-round safety protection device, the Hai Zhuo HIZ-SD-BZZ intelligent safety warning post initiates an intelligent protection system through a series of chains of "perception - identification - early warning - disposal".
The intelligent safety warning post is equipped with a quad-eye panoramic camera system, which eliminates blind spots in monitoring through 360° image stitching technology, allowing the surrounding environment of the pipeline to be "fully visible". It outputs 4 channels of high-definition real-time panoramic images during the day, with clear details; at night, it achieves full-color imaging without additional lighting thanks to the starlight-level low-light technology. Even in bad weather such as rain and fog, it can still stably capture effective images, providing clear and reliable visual evidence for risk identification and truly achieving 24-hour uninterrupted monitoring.
The device integrates the AI model into the front-end equipment, enabling risk identification to be completed locally without the support of a back-end GPU. It can accurately identify more than 10 types of external damage targets such as excavators, forklifts, and pile drivers, and the entire process from identification to reporting only takes 0.3 seconds, achieving "instant risk identification and immediate reporting", giving maintenance personnel the golden time for handling, and completely changing the passive situation of "post-event verification" in traditional security.
When a risk target approaches, the warning post immediately triggers the red and blue flashing lights on the top to warn and plays the early warning voice through a 90dB high-decibel speaker. It also supports real-time remote voice function, allowing maintenance personnel to directly dissuade the site, forming a dual deterrence of "local warning + remote intervention", effectively blocking the last step of external force damage and eliminating potential hazards in the bud.
