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New / New Import
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Description
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.
Block Diagram of Breakout Prediction System
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 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.
Block Diagram of Breakout Prediction System
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
Posted
1 month ago
Parish
Clarendon
City/Town
Aenon Town
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