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  • slide1
    CING
    The use of neural networks
    in industry
  • slide2
    Neurons
    of instant control
    CING
  • slide7
    your choice
    Make efficiency
    CING

CING system functions

Adjustment

automated adjustment of presets, production process settings

Reservation

automated backup reliability and accuracy control of those. production process

Forecasting

automatic prediction of the risk of defective finished products during the process

The effect of using the CING system

  • Efficiency

    Increase process control efficiency

  • Cost reduction

    Reducing the cost of an automated management process

  • Security

    Safety through prediction

  • Quality

    Automatic quality control of products

  • Speed

    Increase the speed of reaction to occurring events

  • Accuracy

    The use of CING gives a significant increase in the accuracy of the data

  • slide1
    CING
    The use of neural networks
    in industry
  • slide2
    Neurons
    of instant control
    CING
  • slide7
    your choice
    Make efficiency
    CING
  • aboutcing24
    Flat
    rolled
    Systems for building a strip thickness prediction profile,
    calculating the cooling parameters of the strip defects
    forecast, and the roll wear parameter
    Pipe
    rolled
    Prediction of mechanical characteristics of manufactured
    pipes, calculation of optimal adjustment, profile
    prediction of roll wear, calculation of pipe wall thickness
    Rail
    rolled
    Rail profile thickness measurement systems by one
    or three points, prediction of the formation of metal
    deformation sites in automatic or manual mode
    Various
    rolled
    Prediction of mechanical characteristics of long products,
    calculation of wear profile for calibers and disks of
    hot-rolled saws, cracks in long products

About CING

The main purpose of the system is to increase the efficiency of management of a specific technological process due to more efficient use of data. This is a completely new approach to the diagnosis of technological processes based on neural networks.

Contacts

117393, Moscow, Profsouznaya st., д. 58, корп. 4
8 (495) 287-08-09 info@incing.ru

2022. ООО «ГостТорг».