AI 驱动 制造业 运营

• 分段: 将一个班次拆分为有界任务——产线可用性、质量抽样、预测性维护触发、OEE计算。
• 智能路由: Simple rules and parsers handle most sensor thresholds and PLC events. 升级 only complex anomaly patterns or multi-variable decisions to models.
• 蒸馏: 对于大批量视觉质检或特定分类，更大模型的能力被转移到更小、更快的专家模型上，以满足生产延迟和准确度门槛。
• 分离式系统: Once designed, the actual execution (dashboards, alerts, job dispatch, 可追溯性 logs) runs as ordinary software with zero ongoing token cost.
• 专用基础设施: All of the above on controlled servers (on-prem or regional) with VPN 加密保护 access to any inference nodes.

结果 适用于合适的工作负载: lower cost per decision, faster response on the line, auditable steps, and compounding savings as volume increases. 87% 令牌降耗 is an 内部基准 on tested patterns. See full infrastructure · distillation · routing strategies.