Solutions

Provide customized services based on regional characteristics and industry needs, creating integrated solutions for the low-altitude economy and low-altitude security.

Home page
Solution

Low-Altitude Monitoring Fusion Solution

Integrating multi-source sensing technologies such as radar, radio frequency, EO/IR, and 5G-A, and fusing multi-modal data including meteorological, spatiotemporal, building, topographic, and human activity information, a holographic perception network for low-altitude airspace is constructed to achieve all-time, all-domain dynamic monitoring of low-altitude aircraft. Through AI-driven trajectory prediction, intent inference, and edge intelligence collaboration, it accurately distinguishes lawful operations from potential threats, ensuring zero violations by cooperative targets and near-total elimination of non-cooperative threats.

Industry background

In 2021, the state officially included the "low-altitude economy" in its development plan, emphasizing its strategic position in the comprehensive three-dimensional transportation network. The 2023 Central Economic Work Conference further emphasized that several emerging industries, including the low-altitude economy, are strategic development priorities. As an emerging industry, the low-altitude economy is crucial for cultivating new productive forces.

To this end, it is necessary to accelerate the construction of the low-altitude airspace service system, which is not only key to implementing national airspace management reform but also the cornerstone for promoting the vigorous development of the low-altitude economy.

Functional highlights

The five major systems—radar networking, radio detection, photoelectric smart sensing (or "electro-optical keen vision" for a more vivid touch), signal decoding, and message parsing—conduct synchronous perception. Coupled with AI algorithms, they work to filter out noise, enhance features, and precisely determine the flight paths of low-altitude flying objects.

Integrates meteorological department data and utilizes self-developed sensors for real-time monitoring of ultra-low-altitude weather, synchronously displaying weather conditions, and issuing meteorological warnings for special weather in local areas.

Through route declaration records and detection, identification and positioning of drones in complex environment areas, illegal flight alarm, route conflict prediction and alarm, route invasion alarm, and one-click alarm in case of emergencies can be performed.

Extracts features such as speed and heading from vast amounts of historical flight data to build a dynamic intent signature database and risk assessment model. Proactively identifies UAV intent (e.g., lawful flight or potential threats), enhancing real-time decision-making capabilities.

multimodal data fusion

Illegal Flight Warning and Locking

intelligent auxiliary decision-making

flight intent computation

Front-end/terminal emergency handling equipment

Application Scenarios