With the rapid development of commercial spaceflight, the on-orbit maintenance model of satellites is undergoing a disruptive technological transformation. The "Huashan" health management module, a vertically integrated large-scale artificial intelligence model independently developed by Zhongke Tianta, has successfully completed a full-process on-orbit practical verification of artificial intelligence on the satellite one month after the successful launch of the "Chen Guang One" technology test satellite.

As an innovative achievement focusing on the intelligent management of commercial spaceflight, the "Huashan" model provides core capabilities for telemetry data analysis, anomaly detection, trend prediction, and autonomous decision-making. As of August 12, the system has smoothly completed training, evaluation, and prediction tasks for various types of time series neural networks and envelope algorithms. The satellite has maintained stable operation, and the core predictive indicators have delivered excellent results.

Traditional satellite maintenance models have long relied on the "ground training, satellite only inference" architecture. When facing the accelerated networking of low-Earth orbit mega-constellations, they generally face challenges such as massive data volume, delayed processing, and high ground control costs. The breakthrough of the "Huashan" module lies in its successful implementation of a fully autonomous closed-loop process: "data collection - on-orbit training - risk warning - health assessment." Satellites can autonomously verify massive telemetry data and perform on-orbit iterative training, significantly reducing the need for raw telemetry data to be downlinked, effectively alleviating the pressure on the communication bandwidth between Earth and space.

Industry experts point out that as on-orbit autonomous health management intelligent systems become increasingly mature, satellites are accelerating from past "passive control" to "active defense," achieving a generational leap. When future constellation sizes expand to the level of ten thousand satellites, this on-orbit autonomous decision-making capability will become a key support for reducing ground control costs and improving fault response efficiency, opening up a new path for the large-scale operation and maintenance of low-Earth orbit mega-constellations.

Looking ahead, with the large-scale deployment of laser communication terminals, the research team will continue to promote the soft-hardware collaboration between communication hardware and on-orbit intelligent algorithms, building a high-speed data channel for the integration of Earth and space. They will deeply participate in the construction of the national space computing network, continuously providing domestic satellite autonomous control solutions to promote the high-quality development of China's commercial space industry.