市場前線｜設備預知監控管理平台之技術發展與應用

近幾年全球企業推動工業物聯網(IIoT)改變工廠營運方式，工廠設備保養策略從以往人力巡檢轉變為預防保養，並藉由建置整廠設備輔助管理平台以即時掌握主要生產設備運轉健康狀態，以降低生產過程中非預期跳車情形發生。本平台系統架構整合具網路通訊之振動感測系統，以及大數據資料存取與分析框架，將廠內各重要設備與製程數據進行收集與分析，並應用多變量統計(MSPC)與全頻帶監控分析方法建立設備的健康度指標，實例中成功進行設備異常預警，降低生產停頓造成的企業成本損失風險。

In recent years, the Industrial Internet of Things (IIoT) has changed the factory operation. The equipment maintenance strategy of factory has changed from manual inspections to preventive maintenance. The management platform provides equipment's health status in real time, which can also reduce operation failure in factory without warning. The platform architecture is based on vibration sensing system, big data access, and analysis framework. It collects and analyzes equipment and processes data in the factory, using multivariable statistics process control (MSPC) and full-band monitoring methods to establish the health indicators of the equipment. The platform is able to detect abnormal with early warning and to avoid cost loss in the factory.