LSTM-based optical cable manufacturing equipment fault remote prediction system

Abstract

The invention relates to an LSTM-based optical cable manufacturing equipment fault remote prediction system. The system comprises a detection node and a data processing node, wherein the detection node comprises a microprocessor, a data acquisition module, a communication module, an analog-to-digital conversion module and a power supply module, the data processing node comprises an upper computerand a display module. When the system works, the microprocessor in the detection node controls the sensor of the data acquisition module to acquire and detect typical fault process parameter data of an optical cable production line, the microprocessor processes the acquired and detected data and wirelessly transmits the processed data to the data processing node through the communication module ofthe microprocessor, and the upper computer receives a data signal and sends the data signal to the communication module of the microprocessor; the trained LSTM network is called to analyze and calculate the data, and finally the equipment operation state model is outputted to a display screen to complete fault prediction. The system can prevent problems of the optical cable production line in thecase of sudden faults, reduce operation and maintenance cost and improve the coping capability of the production line for the sudden faults.

Description

technical field [0001] The present invention relates to an LSTM-based remote prediction system for faults of optical cable manufacturing equipment. The present invention relates to the field of detection technology and data analysis technology. Specifically, it is a system based on wireless transmission technology and using a long-short-term memory network to analyze and train sensing data. Fault Prediction System for Optical Cable Factory Production Line Background technique [0002] Optical cable manufacturing is one of the important manufacturing fields in my country. At present, the domestic supply rate of optical cable has exceeded 90%, and the demand is huge. In a market-oriented business environment, the product quality standards of optical cable companies are gradually improving. If the supervision is not in place during the production process, it will have a great impact on the quality, communication performance and service life of optical cable products. [0003] ...

AI Technical Summary

Problems solved by technology

[0004] The various sensing parameter data generated during the operation of the assembly line equipment is a time-varying sequence, and has the characteristics of nonlinearity and non-stationarity. It is difficult for traditional models to fit a higher-precision prediction sequence.

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