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Abstract:

Aiming at the demands of equipment precision maintenance, based on the previous research results of equipment parallel simulation, the algorithm of equipment remaining useful life (RUL)prediction is optimized and a parallel simulation system for equipment precision maintenance with cloud-edge-end architecture is designed. At the equipment end, the system collects equipment status data and preprocesses it with edge devices. At the cloud end, based on simulation model, in parallel with the equipment entity, the system dynamically predicts the RUL of equipment . The prediction results are applied to the formulation and deduction of equipment maintenance plans to support the equipment precision maintenance.

Key words: cloud-edge-end architecture, parallel simulation, remaining useful life (RUL) prediction, precision maintenance, equipment support

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技术支持:北京玛格泰克科技发展有限公司