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TURN YOUR DATA INTO A CRYSTAL BALL How Big Data Analytics Can Predict Impending System Failures To Achieve Improved Energy Efficiency Comfort, Sustainability(PPT)

机译:将您的数据转化为Crystal Ball,数据分析有多大数据分析可以预测即将到来的系统故障,以实现更高的能效舒适度,可持续性(PPT)

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Learning Objectives: 1.Understand how to evaluate building management system(BMS)data as a tool for fault identification and failure prediction.2.Understand how predictive analysis can counter reactive maintenance.3.Identify the economic and environmental benefits of big data analysis and predictive maintenance.4.Recognize and appreciate high-value data points and reliable data collection.Fouled Coils Summary: 1.Symptom:Discharge air pressure below setpoint.2.Root Cause:Fouled coils.3.Prediction:Equipment failure,decreased heat transfer,greater energy consumption,poor IAQ.4.Solution:Clean coils.5.Savings:$113,000/year.
机译:学习目标:1。如何评估建筑物管理系统(BMS)数据作为故障识别和故障预测的工具.2。预测性分析如何反击无反应性维护.3。识别大数据分析的经济和环境效益 预测性维护.4.Recognize并欣赏高价值数据点和可靠的数据集合。Fouled线圈摘要:1.Symptom:低于设定点的空气压力2.ROOT原因:污垢卷轴.3.预测:设备故障,传热降低 ,能量消耗更大,IAQ.4.差别:清洁线圈.5.浅滩:113,000美元/年。

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