Overview:\r\n\r\nThe 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.\r\n\r\nThe 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.\r\n\r\nThe system is suitable for all kinds of continuous casting machines such as square billet, round billet, rectangular billet and slab.\r\n\r\nThe composition of the system\r\n\r\nThermocouple: according to the on-site conditions of the mold, water tank, bolts and mold frame to desgin\r\n\r\nFront-end acquisition system: Multi-module acquisition chain, industrial Ethernet interface, high-speed embedded processing module\r\n\r\nWorking platform: Real-time display of mold temperature field status, online analysis and prediction of mold breakout\r\n\r\nServer: Data exchange and storage management, reporting and printing system, with data analysis and self-learning functions\r\n\r\n \r\n\r\nThe Main technical parameters\r\n\r\nData sampling: the sampling frequency of K-type/T-type thermocouple can up to 10HZ\r\n\r\nAccuracy of temperature measurement: ±0.25℃\r\n\r\nSupport communication protocol: Industrial Ethernet (TCP/IP),PROFIBUS-DP,CANopen\r\n\r\nExecutive standard: DE0411 Standard Class III/1EC584/IEC1515\r\n\r\nTransmission speed: 100M/bps\r\n\r\n \r\n\r\nThe composition of the software\r\n\r\nOnline monitoring software for breakout prediction\r\n\r\nOffline query software for breakout prediction\r\n\r\nData recovery and self-learning software packages\r\n\r\nData acquisition and monitoring software\r\n\r\nThe software package of mold thermal status display\r\n\r\nThe functions of the system\r\n\r\nReal-time data acquisition, data analysis and judgment\r\n\r\nAutomatic selection of steel grade’s alarm parameters\r\n\r\nReal-time dynamic picture monitoring\r\n\r\nPrediction alarm and information display of breakout signs\r\n\r\nAutomatic deceleration after alarm\r\n\r\nHistorical data storage and historical trend graph display\r\n\r\nAutomatic report generation and printing\r\n\r\nAlarm prediction and pattern recognition of unknown steel grades by neural network\r\n\r\nDynamic real-time temperature profile prediction\r\n\r\nMould heat flow field display\r\n\r\nThe features of the system\r\n\r\n1. Reasonable design of temperature measurement point and professional protection front-end acquisition system, and complete installation and calibration tool components.\r\n\r\n2. The system has strong adaptability and can meet the transformation of various structural continuous casting machines.\r\n\r\n3. High-speed data communication, using industrial network to form an independent local area network for each workstation and server. It can realize high-speed data transmission of alarm files, alarm parameters, and other databases.\r\n\r\n4. The combination of artificial neural network and intelligent forecasting model improves the alarm accuracy of breakout forecasting.\r\n\r\n5. Historical data storage and historical trend graph display, historical reports, historical alarm legend printing, real-time alarm data printing.\r\n\r\n6. Provide a local area network interface, which can realize the storage and forwarding of alarm files, and the input and output of offline alarm data.\r\n\r\n7. Remote Web browsing can be achieved according to customer needs.\r\n\r\n8. Can be seamlessly connected with MES-C220 mould expert system.