用于预测 HVAC 冷水机组故障的企业 AI
技术
- 分析与建模 - 预测分析
适用行业
- 设备与机械
用例
- 质量预测分析
服务
- 数据科学服务
客户
未披露
关于客户
- 全球设备制造商和服务公司
- 100,000 名员工
- 300亿美元的收入
挑战
- 加载和聚类传感器数据以用于预测模型
- 训练机器学习模型以预测冷水机组故障
- 通过在 < 1 周内完成项目来展示开发和部署的速度
解决方案
- 在 4 天内配置 C3 AI 可靠性
- 为 165 台 HVAC 冷水机加载了 3 年的传感器数据（每台冷水机 40-50 个传感器馈电）
- 开发了 163 个分析作为故障预测算法的输入
- 训练和调整机器学习模型，以 73% 的准确率和 71% 的召回率预测冷水机组故障
运营影响
数量效益
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