智能制造Smart Manufacturing
以工业大模型与具身智能重塑生产范式。从设备预测性维护到视觉质检，从工艺知识传承到柔性产线机器人，让制造更高效、更可靠、更柔性。Industrial LLMs and embodied AI reshape production: predictive maintenance, visual inspection, knowledge retention and flexible robot lines.
制造强国的智能化跃迁The Intelligent Leap of Manufacturing
行业趋势与痛点洞察。Industry trends and pain points.
制造业正处于从"自动化"向"智能化"跃迁的关键窗口期。设备维护依赖老师傅经验、质检依赖人眼、工艺知识随人员流失而断层——这些痛点制约着制造企业向高质量发展迈进。工业大模型与具身智能的成熟，为破解这些难题提供了全新的技术路径。Manufacturing stands at the inflection point from automation to intelligence. Maintenance depends on veteran expertise, inspection on human eyes, and process knowledge walks out the door with retiring workers — LLMs and embodied AI offer a new path.
钛一数智聚焦制造场景，以"工业大模型 + 具身机器人 + 智能运维"组合拳，覆盖从单点效率提升到全厂智能化的完整需求光谱，并已在家电、汽配、3C 等行业启动布局与场景验证。TaiYi covers the full spectrum from point solutions to factory-wide intelligence — now being piloted across home appliances, auto parts and electronics.
智能制造总体架构Smart Manufacturing Architecture
"云-边-端"三层协同的工业智能化架构。Cloud-edge-device collaborative architecture.
核心应用场景Key Scenarios
覆盖生产制造全流程的智能化场景。Intelligence across the production lifecycle.
小样本缺陷检测，新缺陷类型标注 10 张即可上线，检出率 99.5%。Few-shot defect detection, 99.5% recall.
振动/温度/电流多源数据融合分析，故障提前 72 小时预警。Multi-sensor fusion, 72h early warning.
工艺文件、故障案例构建知识库，新员工快速上手，专家经验永续沉淀。Process KB for rapid onboarding.
具身机器人 + 视觉引导，混线生产自动换型，2 倍换型效率。Vision-guided robots, 2x changeover.
AI 排产引擎综合考虑交期、产能、物料，排产效率提升 40%。AI scheduling, +40% efficiency.
摄像头 + 大模型自动识别违规行为，安全检查从抽查变全覆盖。Auto EHS violation detection.
标准化交付方案Standardized Delivery
制造行业交付规格标准。Manufacturing delivery specifications.
| 边缘与产线Edge & Shop Floor | |
|---|---|
| 边缘算力Edge compute | 工控机/Jetson 边缘盒子，产线现场毫秒级推理Industrial PCs / Jetson, millisecond inference |
| 协议对接Protocols | Modbus / OPC-UA / Profinet / MQTT 主流工业协议全支持Modbus, OPC-UA, Profinet, MQTT |
| 视觉规格Vision specs | 支持 4K 相机接入，单工位 8 路视频并行分析4K cameras, 8 streams per station |
| 机器人集成Robot integration | 主流工业臂与移动机器人对接，安全围栏/协作模式可选Major arms and AMRs, fenced or collaborative |
| 平台规格Platform | |
| 质检模型QC models | 缺陷检测 mAP ≥ 95%，小样本 10 张/类冷启动mAP ≥ 95%, 10-shot cold start |
| 预测维护Maintenance AI | 故障预警提前量 ≥ 72h，误报率 < 5%≥72h lead time, <5% false alarms |
| 知识库规模KB scale | 支持万级工艺文档、十万级故障案例入库10K+ docs, 100K+ cases |
| 系统对接Integration | ERP / MES / WMS / SCADA 标准接口对接ERP, MES, WMS, SCADA connectors |
| 实施与服务Delivery & Service | |
| 实施周期Timeline | 单场景 45–90 天，全厂级 6–12 个月45–90 days per scenario |
| 环境适应Environment | 产线粉尘、振动、电磁干扰工业级环境适配Industrial-grade environmental hardening |
| 效果保障Outcome SLA | 检出率、预警准确率等 KPI 写入合同Contractual KPI guarantees |
| 投资回收Payback | 典型项目投资回收期 12–18 个月12–18 month payback |
经客户验证的价值Proven Value
让智能成为制造的新生产力Intelligence as the New Productivity
提供产线免费诊断与 ROI 测算，支持单工位试点验证后规模化推广。Free line diagnosis and ROI modeling — pilot at a single station, then scale.