PRELIMINARY ASSESSMENT OF THE QUALITY OF A FIBRE OPTIC CABLE BASED ON MACHINE LEARNING DURING THE MANUFACTURING PROCESS Russian patent published in 2023 - IPC G05B13/02 G05B19/418 G02B6/44 

FIELD: fibre optics.

SUBSTANCE: invention relates to the manufacture of a fibre optic cable, namely to the provision of a means for assessing the quality of a fibre optic cable during the manufacturing process. The claimed method for quality control of a loose-laid fibre optic cable during manufacture on a secondary coating line includes the steps of: storing a trained machine learning algorithm in a machine learning database to calculate the expected values of one or more fibre optic cable quality metrics with loose laying of fibres in the tube, where the fibre optic cable is produced on the recoating line, based on the values of one or more process parameters of the recoating line; one or more values of one or more process parameters of the secondary coating line are controlled by means of a computer system during operation of the secondary coating line; one or more expected values of one or more quality metrics are calculated by the computing system during real-time control using the trained machine learning algorithm, while the controlled values of one or more process parameters are used as an input parameter of the trained machine learning algorithm; calculating in real time monitoring one or more optimum values of one or more control parameters of the recoating line to improve the quality of the manufactured fibre optic cable with loose fibres in the tube, as determined by one or more expected values of one or more quality metrics; and initiating, during real-time monitoring, adjustment of one or more control parameters of the secondary coating line to match one or more optimal values of one or more control parameters.

EFFECT: increased quality control of the manufactured fibre optic cable.

19 cl, 7 dwg