This paper is concerned with the implementation and field-testing of an edge device for real-time condition monitoring and fault detection for large-scale rotating equipment in the UK water industry. The edge device implements a local digital twin, processing information from low-cost transducers mounted on the equipment in real-time. Condition monitoring is achieved with sliding-mode observers employed as soft sensors to estimate critical internal pump parameters to help detect equipment wear before damage occurs. The paper describes the implementation of the edge system on a prototype microcontroller-based embedded platform, which supports the Modbus protocol; IP/GSM communication gateways provide remote connectivity to the network core, allowing further detailed analytics for predictive maintenance to take place. The paper first describes validation testing of the edge device using Hardware-In-The-Loop techniques, followed by trials on large-scale pumping equipment in the field. The paper concludes that the proposed system potentially delivers a flexible and low-cost industrial digitalization platform for condition monitoring and predictive maintenance applications in the water industry.
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機譯：本文涉及用于英國水工業中大型旋轉設備的實時狀態監測和故障檢測的邊緣設備的實現和現場測試。邊緣設備實現本地數字孿生，實時處理來自安裝在設備上的低成本傳感器的信息。通過將滑模觀察器用作軟傳感器來實現狀態監控，以估算關鍵的內部泵參數，以幫助在損壞發生之前檢測設備的磨損。本文描述了邊緣系統在基于微控制器的嵌入式平臺原型上的實現，該平臺支持Modbus協議。 IP / GSM通信網關提供到網絡核心的遠程連接，從而允許進行更詳細的分析以進行預測性維護。本文首先介紹了使用“硬件在環”技術對邊緣設備進行的驗證測試，然后在該領域對大型抽水設備進行了試驗。本文的結論是，所提出的系統可能為水工業中的狀態監測和預測性維護應用提供靈活且低成本的工業數字化平臺。
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