Eliminate Unplanned Fan Outages!
AI Smart Vibration Monitoring Extends Asset Lifespan and Drives Green Energy Efficiency

結合高精度 MEMS 振動感測器與 AI 診斷軟體，提供 21 項故障智慧診斷，讓非技術人員也能秒懂設備健康度。

Is Your Facility Management Paying These High Costs?

突發性停機損失

Blade imbalance and bearing wear lead to abnormal vibrations. Without early warnings, sudden downtime results in severe production losses.

High Reliance on Tribal Knowledge

Traditional manual inspections are time-consuming and labor-intensive. Senior technicians' experience is hard to digitize and pass on, while non-technical staff struggle to interpret complex vibration waveforms.

Elevated Energy Consumption & Carbon Emissions

Operating degraded fans causes power consumption to surge—failing to meet modern green factory and ESG energy-saving benchmarks.

Smart Diagnostics Driving Energy Efficiency & Reliability

風機設備於運轉時，可能有葉片不平衡、軸承磨損等問題，導致異常振動與能耗上升。普格諾斯透過以下技術，實現能效最大化：

1.即時振動監測與預警

- 安裝高精度振動感測器，以毫秒級採樣頻率捕捉葉片與軸承的振動頻譜，即時識別設備問題，避免故障惡化。

- 診斷軟體結合AI模型，提前預警潛在風險（如軸承潤滑失效），降低非計畫性停機。

2.設備故障診斷與資源循環

- 診斷軟體提供「21項故障診斷」，讓非技術人員也能輕鬆易讀診斷結果，幫助企業精準、簡易判斷設備狀況。

- 早期診斷使關鍵部件（如軸承、齒輪箱）壽命延長，減少材料頻繁更換與廢棄物產生。