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Predictive Maintenance for Industrial Chillers
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
- 功能应用 - 企业资产管理系统 (EAM)
- 网络与连接 - 洛拉
- 传感器 - 压力传感器
- 传感器 - 温度传感器
适用行业
- 设备与机械
适用功能
- 维护
用例
- 预测性维护
挑战
对于工业冷水机制造的全球领导者来说，整个生产过程的可靠性至关重要。冷水机是制冷系统，它产生冰水，为工艺或工业应用提供冷却。其中一位领导者寻求一种方法来应对资产绩效问题，甚至在它们发生之前。嵌入式智能确保冷却设备的最大可靠性（预警）。预警阶段意味着冷却装置仍然可以工作，但可能会出现症状，告诉制造商在不久的将来可能会发生故障。当时没有连接互联网的冷水机组在这个预警阶段几乎没有提供任何洞察力。
客户
未公开
关于客户
借助我们仪表板上的资产性能健康指数，冷水机组制造商可以不断了解其资产的健康状况。故障可预知，出现问题直接提醒厂家，及时解决
解决方案
故障设备不仅会导致停机，还会导致冷却器组件出现故障。然而，冷水机连接保证了过程稳定性、过程可靠性和能源效率，因为所有参数（压力、温度、电流值……）都在我们的仪表板上进行监控和可视化。这样，我们可以预测故障可能发生的天数。
收集的数据
Asset Performance, Downtime, Fridge Temperature, Pressure, Production Efficiency
运营影响
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