A dynamic self-adaptive energy consumption optimization method and device for casting

Abstract

The application discloses a dynamic self-adaptive energy consumption optimization method and device for casting, aiming at the problem that the existing energy consumption management is static and difficult to be optimized online under the constraints of process, safety, beat and maximum demand due to the multi-process coupling and working condition fluctuation of casting, the device set and metering, state acquisition and instruction issuing interface are constructed, the time sequence data is synchronously acquired and the abnormality is marked, the process coupling relation graph of three types of relations is established and the edge weight is dynamically updated, the device state recursive model is constructed, the error boundary is formed by conformal prediction to form the risk margin constraint, the conditional diffusion control instruction generation model is trained, the output is constrained by the behavior support domain, the executable control instruction sequence is generated by combining the control barrier function filtering and multi-step constraint checking, and the execution and rewriting update are issued. The application is used for the full-process collaborative energy consumption optimization control of casting production, reduces the comprehensive energy consumption and peak energy consumption, and improves the operation stability.

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