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AI-Driven IoT Solution Enhances Product Quality and Customer Service for Mabe
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 数据可视化
适用行业
- 电子产品
- 设备与机械
适用功能
- 产品研发
- 销售与市场营销
用例
- 智慧城市供水管理
- 智慧校园
服务
- 数据科学服务
- 系统集成
挑战
总部位于墨西哥城的家电制造商 Mabe 最近推出了一款高端洗衣机，可生成 20 多个信号来测量水温、水位、振动、扭矩、噪音、压力、转子位置等各种参数。智能互联产品使 Mabe 的产品团队能够分析实时流传感器数据，以了解服务中的用例并预测潜在的故障。它还使他们能够汇总和分析长时间从许多在用机器收集的数据，为下一代设计改进、材料选择以及子组件和组件的供应商选择提供信息。然而，Mabe 面临着高效、自动管理大量数据的挑战，包括其速度和复杂性。
关于客户
Mabe 是领先的家用电器制造商，产品包括炉灶、冰箱、洗衣机、烘干机、净水器等。该公司总部位于墨西哥城，以自有品牌以及包括 GE Appliances 在内的其他品牌在 70 多个国家销售白色家电。 Mabe 是互联产品开发的早期领导者，该产品允许其客户服务人员在现场监控其设备的运行状况。该公司最近推出了一款新型高端洗衣机，可生成 20 多个信号来测量各种参数，从而实现实时监控和预测性维护。
解决方案
Mabe 与 Altair 合作实施了一个三阶段解决方案：数据预处理、机器学习和数据可视化。 Mabe 建立了一个高性能 SQL 数据库来收集传感器数据。 Altair 的 Knowledge Studio 是一种机器学习和预测分析解决方案，用于访问数据并选择最佳机器学习模型。建立了多个模型来自动执行性能分析和故障预测。 Mabe 工程师和 Altair 人员开发了一套完整的数据分析工作流程，从现场设备收集传感器数据，对这些数据应用一系列机器学习算法，在发现可能的故障时生成警报，并将数据可视化以进行深入分析。使用 Altair 的 Panopticon（一个综合数据可视化和流分析平台）实现了实时数据可视化。整个工作流程的构建、测试和部署用时不到 60 天。
运营影响
数量效益
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