EN

Field

embodied intelligence

As an emerging direction in the field of artificial intelligence, embodied intelligence is driving the deep evolution of manufacturing intelligence. Among them, the automotive and parts industry is regarded as one of the scenarios with the greatest potential for large-scale implementation of embodied intelligence, and related technologies are accelerating their integration into the entire manufacturing process, including design, production, and quality control. Chengde Huayuan continues to focus on cutting-edge technologies in embodied intelligence, committed to deeply integrating high-end equipment with artificial intelligence, especially embedding core technologies such as machine vision and deep learning into intelligent equipment, creating important opportunities for the upgrading of industries such as automobiles and parts.

视觉技术的应用

自主学习技术的应用

  • 设计优化及模拟测试

    设计师利用机器学习分析历史数据和实时反馈,优化设计流程,提高设计质量和效率,缩短设计周期,降低成本。

  • 质量控制

    机器学习通过数据分析,实时监测生产过程,及时发现和纠正质量问题,提高产品合格率和一致性,提升企业竞争力。

  • 供应链优化

    分析市场趋势和销售数据,准确预测产品需求,优化库存管理、运输路线和物流网络,降低成本,提高供应链效率。

  • 能耗管理

    通过机器学习分析生产过程中的能耗数据,优化能源使用策略,降低生产能耗,实现绿色制造。

  • 故障诊断

    运用机器学习算法,对设备故障进行快速诊断和定位,提高维修效率,减少生产损失,保障生产线的稳定运行。

  • 预测性维护

    分析设备传感器数据,实时监测设备状态,预测设备故障,减少停机时间,延长设备使用寿命,降低维护成本。

深度学习