Wuhan CenterRise M&C Engineering CO., Ltd.

BPS-K600 Continuous Casting Mold Breakout System

Overview:

The BPS-K600 continuous casting mould breakout prediction system is developed by Wuhan CenterRise M&C Measuring Co., Ltd. It adopts artificial neural network and combines with traditional artificial intelligence and information processing technology to overcome the defects of traditional logic-based prediction models. It has the functions of self-adaptation, self-organization and real-time learning.

The breakout prediction system has an optimized industrial network structure. According to the distribution and change rules of the temperature field of the mold, it can track and respond to the breakout process in real time. It can learn and judge by itself, and provide early warning information for on-site operations. It can effectively prevent the occurrence of breakout accidents, greatly reducing the cost and improving the safety factor of continuous casting.

The system is suitable for all kinds of continuous casting machines such as square billet, round billet, rectangular billet and slab.

The composition of the system

Thermocouple: according to the on-site conditions of the mold, water tank, bolts and mold frame to desgin

Front-end acquisition system: Multi-module acquisition chain, industrial Ethernet interface, high-speed embedded processing module

Working platform: Real-time display of mold temperature field status, online analysis and prediction of mold breakout

Server: Data exchange and storage management, reporting and printing system, with data analysis and self-learning functions

The Main technical parameters
 
Data sampling:

• the sampling frequency of K-type/T-type thermocouple can up to 10HZ
• Accuracy of temperature measurement: ±0.25℃
• Support communication protocol: Industrial Ethernet (TCP/IP)，PROFIBUS-DP，CANopen
• Executive standard: DE0411 Standard Class III/1EC584/IEC1515
• Transmission speed: 100M/bps
• The composition of the software
• Online monitoring software for breakout prediction
• Offline query software for breakout prediction
• Data recovery and self-learning software packages
• Data acquisition and monitoring software
• The software package of mold thermal status display
• The functions of the system