AI model servitization sharing method and system oriented to power grid regulation and control business

AI model servitization sharing method and system oriented to power grid regulation and control business

The invention discloses a power grid regulation and control business-oriented AI model servitization sharing method and system, and the method comprises the steps: obtaining an AI model warehouse which comprises a plurality of model sets, and storing a plurality of AI models of the same type in each...

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Bibliographische Detailangaben
Hauptverfasser: JI XUECHUN, SHEN JIALING, ZHANG KEHENG, CHEN JIAJIA, LAO YINGYING, LI JIAYANG, YAN NI, XU LIYAN, ZHANG RUIZHI, CHEN ZIYUN, LI HAO, WANG YUDONG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses a power grid regulation and control business-oriented AI model servitization sharing method and system, and the method comprises the steps: obtaining an AI model warehouse which comprises a plurality of model sets, and storing a plurality of AI models of the same type in each model set; creating a model online service of the AI model in the cluster system by taking the model set in the AI model warehouse as granularity; storing the AI model in the AI model warehouse into a cluster system by starting a model online service; and loading the AI model from the cluster system according to an external request. According to the method, a batch AI model access mode is adopted, the network transmission frequency is reduced, the access efficiency is effectively improved, AI model service integrated release is provided based on Kubernetes, rapid and smooth upgrading and capacity expansion are achieved, the hardware resource utilization rate is improved, convenience, rapidness, safety, reliability