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Overview Mold is the casting billet forming equipment in continuous steel casting, and it is also the core equipment and key technology of continuous casting machine. Its function is to forcibly cool the high-temperature molten steel continuously injected into its inner cavity through the water-cooled copper plate to export its heat and to gradually solidify it into a casting billet with the required cross-sectional shape and billet shell thickness. And the casting billet, which is still in liquid state, is continuously pulled out from the lower nozzle of the mold to create conditions for casting billet to be completely solidified in the subsequent secondary cooling area. The main function of the mould oscillation device is to make the mould perform mechanical movement according to the given characteristics of amplitude, frequency and waveform deflection. The purpose is to facilitate demoulding and prevent the occurrence of sticking and breakout accidents due to the bonding of the casting billet with the copper wall of the mold during the solidification process. MOC-K100 mould oscillation online monitoring system can three-dimensionally detect the positive and negative frequencies and waveform characteristics of the mould oscillation. The online changing data is provided in real time, which provides convenient and effective detection methods for on-site inspection personnel. The meaning of the system 1. When the continuous casting machine is not working properly, the billet quality problems (such as unstable oscillation marks, edge cracks, etc.) occur. According to the monitoring results of the system, we can combine with the actual on- site situation to analyze the cause of the failure, and efficiently evaluate and solve the problem of the oscillation table to improve product quality. 2. During the normal operation of the equipment, with the fatigue and wear of the mechanical structure of the mold, the expected oscillation parameters of the mold and the actual oscillation parameters will have a oscillation difference with time change, resulting in the internal process parameters’ changing of the continuous casting machine. Timely and accurate monitoring of changes in these parameters is helpful to schedule maintenance. 3. Transfer equipment maintenance from regular maintenance to state maintenance, do not repair when there is no problem, and arrange maintenance according to production needs when abnormal signs appear. Prevent over-repair and under-repair. 4. According to the monitoring results of the equipment, the on-site working parameters are adjusted in time to avoid adopting inaccurate or large-error oscillation to work and prevent the "breakout" accident. 5. We can timely find out that the oscillation is not stable or out of control in a small range, so as to avoid the formation of unevenness and unstable oscillation marks on the surface of the slab during the solidification of molten steel into the slab, and improve the surface quality of the product. 6. Adjust the working parameters reasonably according to the monitoring results, avoiding the use of excessive safety factor, making the entire assembly line play a normal working efficiency, increasing the output of billets, and create favorable conditions for increasing the casting speed. The functions of the system (1) Overview of monitoring parameters: Provides an overview of real-time monitoring parameters in the full screen, displaying all real-time data including oscillation parameters and process parameters. (2) Time domain waveform: This function mainly displays the oscillation waveforms of multiple measuring points and one channel standard waveform in real time, and simultaneously displays the three elements of oscillation of each measuring point in real time. (3) Waveform superposition: The difference between this function and the time domain waveform is that the waveforms of multiple measuring points are superimposed on a graph with lines of different colors on the same scale, and the oscillation difference of each channel can be calculated and displayed intuitively. (4) FFT: This functional module completes the calculation and display of the oscillation spectrum in real time. It is used to evaluate the waveform distortion of the entire oscillation table and to determine whether there is a problem with the installation of the oscillation device. (5) Bar graph: The oscillation of each measuring point is indicated by a bar graph of peak value and sensor gap voltage, which is more intuitive. (6) Trend: After starting this module, the operator can search the historical records in the database, analyze the changing trend of each parameter, and use it to analyze the rationality of the steel quality and processing parameter settings for different steels under the oscillation conditions. The parameters of the system 1. Number of measurement channels: According to the mold design, up to 16 sensors can be arranged 2. Sensor: three-dimensional oscillation sensing (X, Y, Z three axes) 3. Sensitivity: 1000mV/g 4. Frequency range: 0.04~10HZ 5. Frequency accuracy: ±0.01 Hz 6. Amplitude accuracy: 0.005mm 7. Transmission mode: wired digital transmission, wireless transmission 8. Host: 3U standard rack, handheld device 9. Sensor power supply: 24V.DC 10. Host power supply: 220V.AC/50Hz Mold oscillation curve The structure of the system The main components of the continuous casting mould online oscillation detection system are: 1. Three-dimensional oscillation measurement sensor 2. Handheld oscillation sensor calibrator 3. Dedicated signal connection cable 4. Preamplifier 5. Operation processing unit 6. Graphic display terminal 7. Industrial Ethernet (TCP/IP) or PROFIBUS-DP communication components 8. Control cabinet

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GoLogica offers complete online training in data modeling that gives professionals the understanding and skills they need to understand data modeling methods. IT specialists, database developers, business analysts, and data analysts who want to become better in creating and managing data structures may benefit from this course. Basic topics covered in the course include entity-relational diagrams (ERDs), data mapping, normalization strategies, and abstract, logical, and physical data modeling. It also covers database design concepts, demonstrating how to build durable, scalable, and effective data models that correspond with business goals. This course, led by industry experts, gives participants practical knowledge through practical assignments, allowing them to apply what they've learned in actual situations. Whether you're new to data modeling or want to improve your existing skills, GoLogica Data Modeling Online Training provides a solid basis for creating and managing successful data models. Enroll in GoLogica Data Modeling Online Training today to obtain the knowledge you need to boost your career in data management and become a certified Data Modeling expert!

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Overview The all-digital non-touching infrared/laser automatic cut-to-length system developed by Wuhan CenterRise M&C Engineering Co., Ltd. is the first digital measurement, digital transmission, digital positioning and digital control technology in China. It is suitable for the primary and secondary cutting of continuously cast product of square billets, rectangular billets, slabs, round billets and shaped billets. It can automatically cut 1-24 strands billets to length at the same time, and display the casting speed and running status of each billet. The system has high measurement and control accuracy and strong anti-interference ability, which improves the output and quality of the cast products and reduces the labor intensity of the operator. The whole system has the advantages of low investment, simple installation, debugging and operation, and basically maintenance free. No need to change the original production equipment, a major breakthrough in the automatic cut-to-length cutting method, and it is also an important part of the continuous casting process, which has been highly praised by experts and manufacturers. Digital infrared cutting to length can also provide high-definition solutions, so that the measurement error is ±2mm, and the system can support 4 strands high-definition CCD image measurement. The features of the system 1. The system adopts advanced digital image processing technology (non-touching type) to identify the length of hot billet online, automatically controls the flame cutting machine to cut the hot billet to a certain length, detects and displays the running status and casting speed, and collects the image information of the moving billet from a long distance through an infrared camera. 2. The computer processes the image information by pattern recognition program, forms the operation information and converts it into the electrical signal of the specified format, so that the hot billet can be cut by the actuator. The system can cut the 1-24 strands to length at the same time with an infrared camera. 3. A schematic diagram of the overall layout and working principle of the system is shown in Figure 1. Fig 1 The functions of the system 1. Applicable to all kinds of continuous casting machine flame cutting system. 2. Adopt advanced digital image pickup technology. 3. It is not sensitive to other high-intensity light interference, and overcomes the influence of light sources such as sunlight and arc welding. 4. The system provides abundant interfaces, which can communicate with with the PLC. 5. The fixed-length parameters and data can be directly modified by the secondary system to optimize the fixed-length cutting. 6. Historical cutting data is automatically stored, and the system can set rules for historical data. 7. Support the free transformation of fixed length, and a variety of operation modes are available for the operator to choose. 8. Each stream can send out signals such as pre-clamping, clamping, cutting, roll-up, roll-down and return of the cutting car according to the user's requirements. 9. The monitor displays the running status of the current hot billet in real time and displays the corresponding parameters. 10. Data management can be carried out according to shifts, pouring times, days, weeks, months, etc., as well as data management according to specifications, production capacity, quality, etc. 11. Provide automatic, manual cutting control. 12. The detection and cutting precision is high, and the controllable precision is ±5mm. The extension of the system The system can install 1 to 8 cameras. Generally, when one camera cannot meet the requirements, the system can be equipped with 2 to 8 cameras. The camera can be fixed inside and outside the operating room perpendicular to the roller line, and the setting height is generally 3-5 meters, so that the camera can clearly and completely capture the image of the moving billet. High-definition line scan cameras can also be provided to perform high-precision positioning of each strand of cast products. Line scan cameras are used to support up to 12 strand systems, which ensures that the center of the viewing angle, the billet head, and the fixed-length mark are vertical to improve the cutting and fixed-length accuracy. The technical parameters 1.Numbers of caster stands: maximum 24 strands 2.Cutting method: flame cutting 3.Matching casting speed: ≤6.5m/s 4.Temperature range of billets: 1000℃ 5.Measurement accuracy: ±5mm 6.Cut-to-length range: 3-18m 7.Signal transmission: TCP/IP 8.Number of signals: pre-cut, cut

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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 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 Real-time data acquisition, data analysis and judgment Automatic selection of steel grade’s alarm parameters Real-time dynamic picture monitoring Prediction alarm and information display of breakout signs Automatic deceleration after alarm Historical data storage and historical trend graph display Automatic report generation and printing Alarm prediction and pattern recognition of unknown steel grades by neural network Dynamic real-time temperature profile prediction Mould heat flow field display FIG 1：Typical process of mold breakout prediction The features of the system 1. 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.