Industrial AI-driven production process intelligent monitoring system and method

Abstract

The invention provides an industrial AI-driven production process intelligent monitoring system and method, and relates to the technical field of production monitoring. Comprising a data acquisition module, a feature extraction module, a random feature generation module, a quality monitoring model, an encryption module and a visual monitoring module, wherein the random feature generation module is used for generating random values and occurrence frequencies of the random values; the encryption module is used for encrypting data needing to be encrypted based on an asymmetric encryption technology; the method comprises the steps of extracting a random value reflecting product color features and an occurrence frequency thereof based on a normal distribution technology, analyzing the random value and the occurrence frequency thereof through a quality monitoring model to determine a state label of an intermediate product, determining a production parameter needing to be encrypted based on the state label, and finally generating a random private key based on the random value and the occurrence frequency thereof. And the production data needing to be encrypted are encrypted based on an asymmetric encryption technology, so that the timeliness of monitoring and adjusting in the production process is considered while the core competitiveness is ensured by encrypting the core production parameters.

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