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BPS-K600 Mold Breakout Prediction System Listing

BPS-K600 Mold Breakout Prediction System

200.000 $

📍 Abanda, Alabama Services and equipment Published 03.04.2024 155841 views Seller: Floria Liang

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 systemThermocouple: according to the on-site conditions of the mold, water tank, bolts and mold frame to desginFront-end acquisition system: Multi-module acquisition chain, industrial Ethernet interface, high-speed embedded processing moduleWorking platform: Real-time display of mold temperature field status, online analysis and prediction of mold breakoutServer: Data exchange and storage management, reporting and printing system, with data analysis and self-learning functions The Main technical parametersData sampling: the sampling frequency of K-type/T-type thermocouple can up to 10HZAccuracy of temperature measurement: ±0.25℃Support communication protocol: Industrial Ethernet (TCP/IP),PROFIBUS-DP,CANopenExecutive standard: DE0411 Standard Class III/1EC584/IEC1515Transmission speed: 100M/bps The composition of the softwareOnline monitoring software for breakout predictionOffline query software for breakout predictionData recovery and self-learning software packagesData acquisition and monitoring softwareThe software package of mold thermal status display             The functions of the systemReal-time data acquisition, data analysis and judgmentAutomatic selection of steel grade’s alarm parametersReal-time dynamic picture monitoringPrediction alarm and information display of breakout signsAutomatic deceleration after alarmHistorical data storage and historical trend graph displayAutomatic report generation and printingAlarm prediction and pattern recognition of unknown steel grades by neural networkDynamic real-time temperature profile predictionMould heat flow field display   FIG 1:Typical process of mold breakout predictionThe features of the system1. Reasonable design of temperature measurement point and professional protection front-end acquisition system, and complete installation and calibration tool components.2. The system has strong adaptability and can meet the transformation of various structural continuous casting machines.3. 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.4. The combination of artificial neural network and intelligent forecasting model improves the alarm accuracy of breakout forecasting.5. Historical data storage and historical trend graph display, historical reports, historical alarm legend printing, real-time alarm data printing.6. 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.7. Remote Web browsing can be achieved according to customer needs.8. Can be seamlessly connected with MES-C220 mould expert system.   FIG 2: Software interface of breakout prediction  FIG 3: Thermocouple collection box  FIG 4: Thermocouple installation

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