Compressor cold quantity control system based on multi-dimension parameter regulation

Abstract

The application relates to the technical field of communication network monitoring and abnormality diagnosis, and discloses a compressor cold quantity control system based on multi-dimensional parameter regulation and control, which comprises the following steps: collecting bottom layer interaction time sequence data, protocol stack state data, network topology data, bandwidth configuration data and service cycle data of a target communication node; reconstructing an ideal interaction benchmark under an ideal working condition; injecting link interference, time delay distortion, queue recession or time sequence drift abnormal parameters to generate theoretical damaged interaction data; respectively extracting real residual error and theoretical residual error; outputting communication quality evaluation results, channel noise indication results or communication abnormality review results based on morphological similarity and a decision threshold; and updating abnormal parameters and / or the decision threshold. The system takes the communication evaluation results as cold quantity execution side constraint input, and can realize pre-identification and compensation of cold quantity distortion risks caused by abnormal communication.

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