Study on the construction of semantic web perception-driven smart installation cloud verification interaction model in power marketing

The informatisation process of power marketing has gradually accelerated its development, and in order to be able to more comprehensively understand the current electric energy usage, receivable tariffs, actual tariffs and delinquent tariffs management and other business conditions of the supply area under its jurisdiction, the use and development of the smart installation cloud verification model have become inevitable. The article builds a semantic web-based perception-driven smart installation cloud verification interaction model, specifically, the overall design of the power marketing smart installation management system from the three major functions of application verification, change of line and station area and pre-consultation. Then, a cloud calibration interaction model based on semantic network perception is constructed, and a specific method of model calibration is proposed after identifying the problems in cloud calibration using semantic analysis. After putting the smart installation cloud verification interaction model constructed in this paper into practical use, the temporary new installation users were reduced from the previous 37 days to 30 days, shortening by 7 days, and the overall expansion process was simplified after reorganisation.