Energy Storage PACK Production Quality Intelligence System
技能
Addressing the pain points of high weld defect rates and poor product consistency in energy storage PACK production lines, this system constructs an intelligent quality control system covering incoming inspection, welding process control, and finished product testing, achieving real-time weld defect detection, batch quality traceability, and root cause analysis.
npx openclaw skills install industry-energy-storage-pack-production-quality-intelligenceFeatures
- **来料质量智能检验**: 对接电芯来料MES数据,通过视觉检测和数据分析,自动识别电芯外观缺陷、极耳对齐偏差、来料批次一致性等,拦截不合格电芯流入生产线
- **焊接过程实时监控**: 采集激光焊机、超声波焊机的工艺参数(功率、压力、时间、位移曲线),结合焊接过程中的声光信号,实时判断焊接质量,异常时自动报警并触发复焊流程
- **X光/超声无损检测智能判读**: 对焊接后的PACK进行X光或超声波无损检测,AI模型自动识别虚焊、偏焊、气孔、裂纹等缺陷,判读准确率超过95%,大幅降低人工漏检率
- **批次质量追溯与根因分析**: 建立从电芯来料、焊接参数、工艺环境到成品测试的完整数据链路,当出现质量问题时,可快速定位是哪个环节、哪批物料、哪个工位出了问题
- **一致性分析与预警**: 对同批次PACK的内阻分布、容量分布、绝缘阻抗等关键参数进行统计分析,当发现离散度超过阈值时自动预警,防止批量性问题流出
Use Cases
Installation
npx openclaw skills install industry-energy-storage-pack-production-quality-intelligence
Usage Examples
`分析本周焊接缺陷数据,找出TOP3高频缺陷类型及其根因`
`对比两款电芯的焊接兼容性,预测哪个供应商的物料更适合当前产线`
`生成本批次PACK的质量追溯报告,包含所有焊接参数和测试数据`