由感測器、冷卻單元控制系統與 AI 引擎所組成的網路，可動態優化您在白區的冷卻管理。如此一來，不僅能提升能源效率、降低成本，也有助於符合熱能 SLA，並延長設備壽命。
挑戰
運算活動會產生大量熱能，這些熱能來自白區中的所有伺服器；一旦過熱，就會造成停機的重大風險，因此機房必須持續冷卻。然而，這類冷卻會消耗大量能源，進而增加營運成本，同時也存在過度冷卻的風險，反而會影響伺服器的效能。
解決方案
我們可部署由感測器、冷卻單元控制系統與 AI 引擎組成的網路，根據即時 IT 負載動態調整機房的冷卻能力。密集的感測器網路會量測 IT 設備進風口的溫度；AI 引擎則會建立涵蓋整個機房、細到每一座 IT 機櫃的即時氣流模型。它會計算最佳的冷卻單元組合，確保每個感測點都能維持最佳溫度，再將指令傳送至這些冷卻單元執行。
Siemens 將協調現場部署與軟體設定；節能成效將以基準值進行紀錄。客戶可透過系統使用者介面檢視設備與冷卻效能的洞察資訊，包括儀表板、影響圖、趨勢分析等，還能依告警的嚴重程度，在通知標籤報表中檢視相關警報。若與 Siemens 金融服務合作，升級所帶來的節能效益可事先預測，使投資能夠透過保證的節能成果自行回收。您可以將資本支出轉為營運支出，讓技術轉型在現金流上保持中性。
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