An industrial internet of things data analysis platform based on edge computing and big data

Abstract

The application discloses an industrial internet of things data analysis platform based on edge computing and big data, relates to the technical field of industrial data, and comprises a big database, a processing platform, an edge computing module and a data acquisition module. The big database is based on historical data, has multiple production models, and labels and classifies each production model. The processing platform establishes corresponding model requirements based on a preset production plan, matches each production model in the big data, and screens a production model meeting the requirements. The data acquisition module is provided with multiple data acquisition modules, and each data acquisition module acquires actual production data of a corresponding production device. The application introduces a comprehensive scoring mechanism of the production model, dynamically evaluates the matching degree between the production model and the actual production requirement, and selects an optimal model and dynamically adjusts the production process by comprehensively considering the weight, sensitivity factor and deviation amplitude of each field.

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