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Overview LDT-I200 is a new generation of converter lining thickness gauge launched by our company. The system equipment emits a pulsed laser beam to the lining surface of the converter, and receives the returned laser light to measure its flight time. Then the system equipment calculates the distance between the equipment and the target point according to the transmission speed of the laser. During measurement, the user pushes the equipment to a certain position on the platform in front of the converter, and the equipment can start to scan and measure the target area of the converter after the equipment performs rapid self-positioning. The Measuring principle The measurement speed of LDT-I200 can reach up to 2,000,000 points per second, and each scan can obtain distance data of more than 1.5 million points. The actual surface curve of the entire converter lining can be obtained by combining the measurement data of different positions and angles. During the measurement, the laser head of the equipment rotates at a certain step angle to rapidly change the angle of the pulsed laser beam. Within 4 minutes, the three-dimensional surface contour of the converter lining can be formed, and the thickness information of the furnace lining can be obtained through coordinate conversion calculation. The measurement accuracy up to ±2mm. In order to convert the distance from the internal point of the converter to the thickness gauge into the thickness of the furnace lining at each point, we must know the coordinate relationship between the trolley and the converter. We use the second laser head to position the trolley. When the trolley is pushed to the measurement site, the positioning laser head rotates at high speed to scan the three reflective strips opposite the converter. Through triangulation measurement and calculation, we can calculate the relative position of the trolley to the reflective strips. The coordinates of the reflective strip and the converter are known through mapping, so that the coordinates of the trolley relative to the converter can be accurately obtained. The main components 1. Laser measuring head 2. Wireless communication 3. Battery pack 4. Mobile laser thickness gauge host 5. Converter inclination measurement system 6. Cooling circulation system 7. Positioning auxiliary reflector 8. Laser positioning system The technical indexes Laser reproducibility: ±2mm Laser accuracy: ±2mm Local fastest measurement time: 15s Positioning time: 30s Full image measurement time: 4min The highest measurable lining temperature: 1850℃ Measuring distance: 0.5-25m Actual points are measured per frame: 1500000 points Continuous working time after fully charged: ≥3h Eye-safe laser: Class 1 laser product (doesn't hurt the eyes) The parameters of laser measuring head Measurement principle: According to the flight time and speed of the laser to calculate the distance Laser reproducibility: ±2mm Laser accuracy: ±2mm Scan rate: 2000000 points/second Measuring angle: vertical ±40°, horizontal 360° Maximum measurement temperature: 2200℃ Working temperature: -20℃-80℃ Cooling method: Integrated liquid cooling system, IP64 grade protection Laser wavelength: 1550nm (near infrared)

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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

Overview The mold is a device that shapes the cast product in continuous steel casting, and it is also the core equipment and key technology of continuous casting machine. The main function of the mould oscillation deflection detection instrument is to detect the the mould oscillation table’s oscillation frequency, amplitude, deflection rate, phase, oscillation trajectory curve, etc. Through the detection and adjustment of the detection instrument, the mold moves along the outer arc of the continuous casting machine according to the set amplitude, frequency and waveform deflection characteristics. The actual oscillation parameters of the mold oscillation table during the production process and the process parameters of the cast products cannot be effectively known without the data detection of the mold deflection detection instrument, so that the operator cannot adjust the mould’s production process parameters in real time according to the real-time situation of the on-site production. The continuous casting mold deflection detection instrument independently developed by our company is suitable for various molds such as slab, square billet, round billet and shaped billet. The system obtains the process parameters such as actual oscillation holographic parameters and negative slip amount of the oscillation table by effectively detecting the movement of the mold. The technicians can formulate the control strategy of the mould according to these actual parameters, and improve the output and quality of the product within a safe and reliable range. The structure of the instrument Continuous casting mold oscillation and deflection detection instrument is mainly composed of sensor system, sensor signal conditioning circuit, power supply circuit, synchronous data acquisition module, communication cable, and software data analysis system. There are three axial acceleration sensors installed in the mold oscillation and deflection detection instrument, one of which is to detect the vertical oscillation signal (Y axis), and the other two are to detect the horizontal oscillation signal (X and Z axis). The signal obtained by the sensor is processed by the preprocessor and the preprocessing module. The oscillation signal and sensor status signal will be filtered and normalized, sent to the synchronous data collector for digitization and feature extraction, and the data is analyzed and processed by the master computer software to obtain various oscillation parameters and process parameters required by users. The functions of the system 1. Adopting mould oscillation X/Y/Z three-dimensional data acquisition, using high-precision sensor system and high-sensitivity axial accelerometer, comprehensive detection of equipment oscillation state, including: 1) Detect the oscillation frequency of the mold oscillation table 2) Detect the amplitude of the mold oscillation table 3) Detect the deflection rate of oscillation 4) Detect the lateral deflection, longitudinal deflection, phase, and phase difference of the mold oscillation table 5) Three-dimensional display of the oscillation trajectory, and the oscillation table trajectory can be viewed from 6 sides of the oscillation table (X-Y, X-Z, Z-Y) 2. The software system adopts the design of man-machine interactive graphic interface, which can display the mold oscillation state in real time. The software functions include: 1) Real-time data curve display: oscillation waveform, oscillation frequency, signal superposition analysis 2) Single-axis curve display, multi-axis curve display, amplitude, acceleration, three-dimensional graph 3) View historical curve 4) Generate test report 5) Give a warning prompt 6) Spectrum analysis function 7) Long-term storage of data 3. Portable measurement method, which can provide handheld detection equipment with wireless remote transmission, and the operation is simple. 4. Provide an overview of inspection parameters under the full screen, displaying all data including oscillation parameters and process parameters. At the same time, the calculation and display of the oscillation spectrum is completed in real time, which is used to evaluate the frame loss of the waveform , and to determine whether there is a problem with the installation of the oscillation device. 5. Alarm management. Record each alarm data under real-time alarm conditions to analyze the cause of the alarm and evaluate the impact of the alarm on production. 6. Parameter setting. Users can set the ideal oscillation value and normal working range of various steels online. We also can set the alarm limit, and the storage time of the database etc. 7. After charging the device once, it can work continuously for more than four hours. 8. Integrate embedded processing equipment to realize data collection, display, analysis, reporting and other functions. 9. According to the mold characteristics and user requirements, it can be flexibly configured, wich is suitable for all types of molds such as square billets, slabs, round billets and other mold oscillation tables. 10. Support wired and wireless data transmission functions, easy to use. 11. Use the laptop to receive the collected data, can be used for the operation test on site, and can analyze and process the data conveniently. The features of the system 1. The actual oscillation state replaces the ideal oscillation state. The actual oscillation state of the table is used to formulate a control strategy, so that the oscillation table can be used to produce products with more accurate oscillation. 2. Convenient detection method. The equipment can be used for on-site inspection at any time, and the production site can grasp the operating status of the on-site equipment in time, so that we can make production adjustments to the equipment at any time. 3. Efficient working methods and processing platforms. The high-integration equipment developed by embedded technology can work in high temperature and harsh environment. This system can comprehensively detect XYZ three-axis data, and realize real-time data analysis and processing with high-speed data operation and processing platform. 4. Powerful database function. The database adopts the mode of computer automatic management and operator's manual assistance management, and there are tables for recording historical data and alarm data and working parameter setting table of monitoring system inside the database. By adjusting the output range, the best output effect can be obtained.

Overview The surface quality inspection of high temperature cast product is of great significance to the repair of cast product’s defects and the hot delivery of hot cast product. The ZSQ-T series of online surface quality inspection equipment for casting billets developed by Wuhan CenterRise M&C Engineering Co., Ltd can detect the defects such as scratches, cracks, holes, pits, edge cracks, edge defects on the surface of the cast products, and meet the customer's requirements for the quality inspection of the surface of the cast product. The principle of the system The ZSQ-T200 online surface quality inspection system for continuously cast products adopts the principle of optical imaging and uses a CCD image sensor to input the surface image of the cast products to be detected into the computer, and then the obtained image is processed by special image processing software to find out whether there is any defect in the image. After the defects in the image are obtained, the obtained defects are classified through a special self-learning system, and finally the requirements of the computer to automatically identify the surface defects of the cast products are achieved. The composition of the system 1. Optical part: The optical part is composed of multiple fixed-focus lenses and linear CCD, which mainly realizes scanning and imaging of the surface of the cast products. 2. Lighting part: The lighting part is composed of a high-brightness LED array and a cylindrical lens, which realizes high-brightness and high-uniformity lighting on the surface of the cast products. 3. Mechanical structure part: The mechanical structure part mainly realizes the adjustment, installation and fixing of the optical part and the lighting part, and consists of the imaging head (optical part), light box (lighting part), bracket and control cabinet. The structure is required to be stable and reliable. 4. Real-time processing: The real-time processing part is completed by the multi-CCD data real-time sampling processing unit (high-speed DSP) independently developed by Wuhan CenterRise M&C Engineering Co., Ltd. 5. Hardware part: The hardware part consists of high-speed storage controller and storage hard disk array, Gigabit InternetMAC controller, Gigabit Ethernet PHY. Rj45, and multiple high-speed workstations. 6. Detection software: The detection software mainly realizes the functions of collection, storage, transmission, processing of CCD scanning images, extraction of defects, analysis of defect characteristics, calculation of defect size and position, storage of defect images, generation of cast product’s surface quality analysis reports. etc.

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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.

Overview In order to meet the needs of producing various specifications of continuously cast products, shorten the time for replacing the mold, and improve the production capacity and production efficiency of the continuous casting machine, the mold online width adjustment system is the key technology for efficient continuous casting. The online mold width adjustment system enables the two narrow sides of the continuous casting slab mold to move inward or outward in small steps until the predetermined width is reached. During the production process, the adjustment of the mold’s width can be completed without stopping the machine. Generally, the online width adjustment of the mold needs to be connected with the online taper measurement of the mold. Only with adjustment and detection can the online adjustment range of the mold be accurately controlled. Fig 1 Mold online width adjustment system The components of the system Workstation: host system, system width adjustment control, taper detection. On-site operation box: real-time display of the current control status, manual operation to adjust parameters. Digital Electric Cylinder: Precise digital control of electro-hydraulic drive cylinder, which can achieve high-precision quantitative control. On-line measurement of taper: Install it on the narrow-face copper plate of the mold, and monitor the taper of the narrow-face copper plate in real time. Cooperate with the detection feedback control of the width adjustment system, so as to achieve high-precision adjustment. FIG 2 System block diagram The technical parameters Adjustable range: 0-1250mm (unilateral) Control accuracy: 0.02mm/0.05mm/0.1mm Step resolution: 0.01mm/0.02mm Running speed: 0-10mm/s Power: 3.5KWl 16-bit encoder: 65536 pulses Weight: 25Kg Shell: high-strength aluminum alloy FIG 3 Syetem software interface The functions of the system Realize online width adjustment function Realize the online real-time monitoring function of mold taper Continuous casting production adjustment and non-stop production One-key operation in the main control room, automatic completion High adjustment accuracy and fast speed The interlock control of the continuous casting steelmaking system can realize automatic steel pouring

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Overview: In the steelmaking production process, the ladle is the key equipment for holding molten steel, secondary refining, and continuous pouring. In a modern steelmaking plant, refractory materials are required for converters, refining, and ladles. In the steelmaking process, ladle is the main equipment for using and consuming refractory materials. Improving the service life of ladles and reducing refractory consumption is the key technology for steelmaking plants to save costs and reduce energy consumption for green production. In order to ensure the orderly operation of the ladle, save the consumption of refractory materials, prolong the service life of the ladle, and ensure the safe operation of the ladle, Wuhan CenterRise M&C Engineering CO. developed and launched the LDT-N200 integrated management system for the ladle. Introduction: LDT-N200 ladle integrated management system integrates LDT-L200 ladle lining thickness gauge, TBP-S300 ladle, tundish baking temperature and leakage monitoring system, RFD -C100 metallurgical electronic positioning system, and also integrates SQL Server database and NeuralWare (American computer software company) neural network software NeuralWorks to realize intelligent and optimized management of ladles. LDT-L200 ladle lining thickness gauge uses a laser area array scanning sensor to accurately measure the real-time thickness of the ladle lining, calculate the lining loss, and predict the service life of the ladle. TBP-S300 ladle, tundish baking temperature and leakage monitoring system uses infrared thermal imaging camera and embedded armor wire system to comprehensively monitor and prevent ladle leakage. RFD-C100 metallurgical electronic positioning system installs RFID electronic tags on all ladles to realize full-time and full-space ladle positioning and tracking. LDT-S200 ladle optimization control and analysis software, based on SQL Server database, B/S network structure, realizes online management of ladles, and adopts BP neural network system to realize intelligent optimization control of ladles. LDT-N200 ladle integrated management system can realize ladle age management based on ladle lining data and neural network algorithm, safety process control of ladle turnover and use, full-time tracking management of steelmaking production and full-space tracking management of ladle use and provide optimal control and management of steelmaking production and ladle maintenance. Comprehensive ladle measurement and monitoring, ladle positioning and management, and data management and optimization enable the LDT-N200 ladle integrated management system to fully realize ladle entire process management, optimize the service life of ladles, and comprehensively reduce the cost of refractory materials. The features: Using a lining thickness gauge to measure the thickness of the ladle lining Using infrared thermal imaging camera/embedded armor wire to realize ladle leakage detection Using RFID/number plate recognition to realize the location management of ladles Ladle age management system based on overall tracking Overall (full-time full-space) ladle management system based on database Provide overall production scheduling data Using neural network to predict ladle service life based on big data Ladle Optimal Scheduling System based on database and ladle service life Increase the service life of ladle by 12%-20% Reduce the use of refractory materials more than 15% Realize orderly management of ladle baking Realize full space and full time domain control Reduce the costs of ladle management and maintenance Improve the efficiency of ladle turnover operation

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