Industrial production process fault detection system with deep learning function

Abstract

The invention discloses a fault detection system with a deep learning function for an industrial production process, and relates to the technical field of fault detection, in particular to the fault detection system with the deep learning function for the industrial production process. The electrical output end of the industrial data acquisition module is connected with an industrial data processing module, and the electrical output end of the industrial data processing module is connected with a data comparison module; and the data difference judgment module is connected to the electrical output end of the data comparison module, and the electrical output end of the data difference judgment module is connected with an operation module and a fault warning module. According to the fault detection system with the deep learning function for the industrial production process, acquired data can be compared with an extracted data model through a data comparison module, and a data difference judgment module judges whether the data compared by the data comparison module is within a standard difference range or not.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to a fault detection system for industrial production processes with a deep learning function. Background technique [0002] Deep learning is a class of machine learning methods, including a collection of design, training, and usage methods, and industrial production is an economic indicator that is described in the form of an index. It illustrates the level of production in major economic sectors including factories, mining, and utilities. Additionally, demand for broad economic groups is measured in consumer goods, business equipment, and construction supplies. Economists and investors alike view the indicator as a gauge of the health of the economy, where industrial production is largely carried out in factories. Usually workers, technicians, etc. use power and mechanical equipment to carry out production activities, and sometimes failures occur in industrial production...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a fault detection system for industrial production process with deep learning function, which solves the problem that the existing fault detection method for industrial production process with deep learning function proposed in the above background technology is usually manually Carry out a general inspection before the operation of the mechanical equipment, or wait for the machine to stop suddenly before overhauling. There are deviations in the manual inspection, and the machine stops suddenly, which slows down the production progress and affects the overall production efficiency.

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