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RAMON Mould Breakout Prediction System

Industry 4.0

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RAMON Mould Breakout Prediction System

The system is adopted with thermocouples installed on mould copper plate to detect the copper plate temperature variation tendency, the corresponding continuous casting technological parameters are combined and the neural network fuzzy recognition technology is utilized to process logical operation and analysis to predict the sticking breakout, so as to avoid the occurrence of breakout accident.
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Description

Functional Advantages

Historical data query and offline data analysis.  
Auto/manual control of casting speed switchable. 
With remote online service function. 
Data models for different steel grades are set up for system auto adjustment of parameter model according to steel grade and cross section. This function is to solve the missing-alarm or false alarm issues caused by unmatched characteristic of temperature curve when switching the steel grade (large difference in molten steel fluidity, such as the austenitic stainless steel and ferritic stainless steel).  
Mould copper plate temperature visualization including data, curve, and cloud chart, which can be taken as the basis of process improvement of continuous casting. 

 
Technical Index
Missing-alarm rate of breakout                 <1 time /million ton of molten steel
False alarm rate                                        ≤ 0.3 time/ten thousand ton molten steel
 
 
Typical Customers 
Jiuquan Steel, Great Wall Steel Group, Jianlong Steel, Valin Group Lianyuan Steel, Beihai Chengde Nickel Industry, CFHI, India BRG Steel etc.
 
 
   
 
Corresponding parameter set not found, please add it in property template of background
暂未实现,敬请期待
暂未实现,敬请期待
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