AI 中文总结
该研究提出SAT-Edge-Agent硬件在环边缘智能体系统，部署于ARM异构边缘片上系统，通过实验验证其星载边缘编排可行性，为相关研究提供可复现的HIL边界。
AI 中文摘要
星载智能需要一个任务层，该任务层能在通信和功率约束下将任务意图转换为本地工具调用、暴露执行状态并返回机器可消费的产物。我们提出了SAT-Edge-Agent，这是一个部署在商用现货ARM异构边缘片上系统上的硬件在环（HIL）边缘智能体系统。浏览器工作区和FastAPI智能体协调本地OpenAI兼容语言服务与项目内部的YOLO风格定向目标检测端点，该端点返回FAIR1M元数据支持的结构化结果。两个固定的FAIR1M工作负载，一个为单图像请求，另一个为串行两图像请求，各重复执行20次，均完成全部20次尝试。平均全智能体延迟分别为29.353秒和60.937秒，经验P95值分别为31.166秒和66.882秒。平均检测器时间分别为861.386毫秒和1510.920毫秒，仅占对应全智能体平均值的2.93%和2.48%。性能分析表明，大部分可见延迟出现在检测器执行之外。平均CPU利用率分别为20.761%和20.482%。200毫秒的NPU负载区间在两个工作负载下均达到100%，但这代表共享加速器软件区间，而非仅检测器占用或校准利用率。公开证据包提供了经清理的请求级记录、编辑后的JSON、标准化SSE示例以及复现报告统计数据的脚本。这些结果建立了可复现的HIL边界，用于可观测的卫星边缘智能体编排，但未确立检测器精度、新的地理定位方法、校准能效或飞行就绪性。
英文摘要
Onboard satellite intelligence requires a task layer that translates mission intent into local tool calls, exposes execution state, and returns machine-consumable artifacts under communication and power constraints. We present SAT-Edge-Agent, a hardware-in-the-loop (HIL) edge-agent system deployed on a commercial off-the-shelf ARM-based heterogeneous edge system-on-chip. A browser workspace and FastAPI agent coordinate a local OpenAI-compatible language service with a project-internal YOLO-style oriented-object-detection endpoint that returns FAIR1M metadata-backed structured results. Two fixed FAIR1M workloads, one single-image and one serial two-image request, were repeated 20 times each and completed 20/20 attempts. Mean Full-Agent latency was 29.353 s and 60.937 s, with empirical P95 values of 31.166 s and 66.882 s. Mean detector time was 861.386 ms and 1510.920 ms, only 2.93% and 2.48% of the corresponding Full-Agent means. Profiling indicates that most visible latency occurs outside detector execution. Mean CPU utilization was 20.761% and 20.482%. A 200-ms NPU-load field averaged 100% for both workloads, but it represents a shared-accelerator software field rather than detector-only occupancy or calibrated utilization. The public evidence package provides sanitized request-level records, redacted JSON, normalized SSE examples, and scripts reproducing the reported statistics. These results establish a reproducible HIL boundary for observable satellite edge-agent orchestration, but do not establish detector accuracy, a new geolocation method, calibrated energy efficiency, or flight readiness.
Comments17 pages, 4 figures, and 10 tables. Code and sanitized research artifacts are available at SAT-Edge-Agent" target="_blank" rel="noopener">https://github.com/keithhegit/SAT-Edge-Agent
