As a vital component of the power system, the stable operation of transmission lines directly affects the safety and reliability of power supply. In response to the challenges of wide coverage, complex environments, and low efficiency of manual inspection, HIZ-SD-SYT, an AI-driven online monitoring device for transmission lines (AI ball camera) developed by Guangxi Hai Zhuo Technology, with its integrated intelligent design, has become a powerful assistant for the safe operation and maintenance of power grids.
The HIZ-SD-SYT AI ball camera for transmission lines, developed by Guangxi Hai Zhuo Technology, is an integrated, AI-driven, panoramic online monitoring device designed for transmission line scenarios. It focuses on preventing external damage, intelligent inspection, all-weather monitoring, and quick installation, making it suitable for complex line scenarios such as mountainous areas, suburban areas, three-crossing areas, tree obstacles, and construction zones.
In terms of hardware performance, the HIZ-SD-SYT AI ball camera stands out. The pan-tilt unit can achieve continuous 360° horizontal rotation and ±90° vertical pitch. It is equipped with high-definition visible light and optional infrared night vision functions, supports 20-40x optical zoom, and can record continuously for 24 hours, providing panoramic and seamless monitoring of the lines. It is powered by a combination of solar energy and lithium batteries, ensuring a minimum of 30 days of operation without sunlight, perfectly adapting to off-grid scenarios. It supports multiple communication modes such as 4G/5G and Wi-Fi, enabling encrypted transmission to ensure data security. Additionally, its industrial-grade protection design enables it to withstand extreme conditions such as high and low temperatures, thunderstorms, and sandstorms, ensuring long-term stable operation.
AI intelligent recognition is its core feature. It is equipped with an on-device AI acceleration module that can locally and in real-time identify various hazards such as construction machinery, overgrown trees, illegal buildings, and smoke from forest fires, effectively filtering out interference from sunlight and birds, reducing false alarm rates. Once a hazard is detected, it will automatically capture images, store them locally, and push alarm information to the cloud, triggering sound and light alerts, facilitating quick location and timely handling by maintenance personnel, achieving early detection, early warning, and early resolution of hazards.
The device supports remote control from both PC and mobile devices. Maintenance personnel can remotely adjust the pan-tilt unit, zoom, and view recordings, enabling remote and intelligent operation and maintenance of the lines. Its low power consumption design and no-wiring feature further reduce the cost of later maintenance. Of course, as it uses pure visual monitoring, visibility may be affected in extreme fog and heavy rain conditions, and the coverage of communication signals in remote mountainous areas needs to be evaluated in advance.
