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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 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： This product is a new type of mold copper plate surface detection equipment. The equipment adopts a high-precision and high-sensitivity laser ranging sensor, which scans the copper plate of the mould by scanning a laser line with a fixed width, and returns the measurement data in real time. After modeling and analyzing the data, the upper computer gives the wear data of the mold copper plate, as well as the data of surface cracks and surface flatness. The host computer software intuitively reflects the surface profile of the detected mold and thickness deviation and other data to the user in the form of data sheet, data curves and mold 3D model diagrams, providing a true and reliable theory for on-site operators to maintain the mold. The mold surface detection equipment is a high-precision instrument, which includes high-precision laser ranging sensors, two digital servomotors, encoders, horizontal sliding screws, vertical sliding screws, and calibration consoles, controllers and other components. The equipment has many advantages such as high accuracy, strong stability, convenient installation and strong observability. It is suitable for mold surface detection, surface flatness analysis, surface flaw detection, taper measurement, etc. It is also suitable for round billets, square billets, slabs, special-shaped billets, etc., widely used and powerful. The composition of the system： 1. The mold surface detection equipment is equipped with: data processing and display unit, horizontal motion mechanical power output unit, vertical mechanical power output unit, instrument motion control unit, laser measurement sensor, and instrument bracket. 2. Data processing and display unit: used for data acquisition and storage, system equipment control, parameter configuration, height display of the descent, start and stop control, etc. 3. Horizontal motion mechanical power output unit: the digital servo motor in the horizontal direction controls the sensor to move in the horizontal direction, so that the sensor can scan the horizontal inner cavity wall of the mold copper plate to detect data. 4. Vertical mechanical power output unit: the digital servo motor in the vertical direction controls the sensor to move in the vertical direction, so that the sensor can scan the vertical cavity wall of the mold copper plate to detect data. 5. Instrument motion control unit: It is used to control the motion scanning of the motor, and the running speed, running track, and control mode of the motor can be configured through parameter settings. 6. Laser measurement sensor: The laser displacement sensor adopts the principle of laser triangulation. The laser transmitter shoots the visible infrared laser to the surface of the measured object through the lens, and the laser reflected by the object passes through the receiver lens and is received by the internal line array image processing sensor. According to different distances, the corresponding positions of the light spots received on the line array sensor are also different. According to the angle of this reflection, the distance between the actual objects can be calculated by calculating the distance of the sensor spot. 7. Instrument bracket: The mold surface detection equipment need to be placed directly above the mold when it is in use, and it is required to be fixed firmly without displacement vibration during the measurement process to ensure the measurement accuracy. The parameters： Detection instrument service life: ≥5 years; Detection instrument reliability: more than 98%; Detection range: 60~1000mm (customizable) Detection accuracy: 0.01mm Spot diameter: 1.0x1.5mm (spot scan), 1.0x20mm (line scan) Falling pace: 1~20mm/step Single measurement time: less than 2min Power supply: DC24V Operating temperature: -20~80℃ Equipment warm-up time: 3~5min Shock resistance: 50G (X, Y, Z axis) Vibration resistance: 10Hz~5Hz (amplitude 1.5mm, each 2 hours in X, Y, Z axis)

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Overview The system realizes the fixed-length measurement of the width, thickness and length of the continuously cast product through machine vision and laser rangefinding system. The measured data is transmitted to the host system through the optical fiber. The host system calculates the weight of each billet according to different steel grades and specific gravity, so that we can realize the fixed length measurement and fixed weight control of the cast products and the precise control of the steelmaking process in the production process. After cutting the billets by fixed weight and length, the fixed weight cut-to-length system is checked by the online weighing measurement system, so as to give feedback to the fixed length model of control system. The slab number (automatic checking) can also be automatically identified online by using machine vision, and the weight and slab number can be automatically stored in the local database for use in the production and management system. The measuring principle of the system On the upper surface of the billet, a set of linear CCD cameras and a laser rangefinding instrument are respectively installed. Through machine vision and laser correction, we can achieve precise measurement of the cast products’ shape. Through accurate cast products’ shape monitoring, the billet thermal expansion coefficient of cast products and cast products’ density at the current temperature, we can obtain the quality of the billet. At the same time, we can achieve high-precision quality cut-to-length , namely, fixed-weight and fixed-length. The system can be matched with the weight detection and calibration system. The system adopts the online barrier-free hidden integral roller table weighing method for continuous casting products, and connects its weighing data into the intelligent control model. The model and steel billet weighing system, and the fixed weight cut-to-length system realize the closed-loop control of the system model, and optimize the fixed weight accuracy through automatic signal collection. The features of the equipment The cutting control technology for fixed-length and fixed-weight of cast products is a concrete manifestation of the lean production management of steel products. In the era of high-quality competition of steel products, only high-end intelligent technology and management can reduce costs, improve quality and market competitiveness. 1. 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. 2. 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. 3. The detection and cutting precision is high, the controllable length sizing accuracy is ±1mm, and the quality sizing accuracy is more than 1.5‰. 4. It is not sensitive to other high-intensity light interference, and overcomes the influence of light sources such as sunlight and arc welding. 5. The monitor displays the running status of the current hot billet in real time and displays the corresponding parameters. 6. Laser rangefinding and CCD machine vision are used to calculate the weight of the cast products and optimize the cutting to length. 7. Historical cutting data is automatically stored, and the system can set rules for historical data. 8. Support the free transformation of fixed length, and a variety of operation modes are available for the operator to choose. 9. Adopt advanced high temperature laser measurement and high pixel linear CCD technology. 10. The system provides abundant interfaces, which can communicate with the PLC control. 11. Applicable to all kinds of continuous casting machine flame cutting system. 12. Provide automatic, upper and manual cutting control. The main technical requirements 1. Width range of the inspected cast product: 120~2000 mm 2. Length range of the inspected cast product: 1000~20000 mm 3. Thickness range of the inspected cast product: 35~400 mm 4. Steel billet moving speed: 3.5 m/s 5. Billet running speed: 6.5m/min 6. Temperature of the measured steel billet: 0~850 °C 7. Measurement accuracy: width ±0.2mm thickness ±0.2mm length ±0.2mm 8. Fixed weight accuracy: 0.8‰ (temperature model verification) 9. Quality inspection check: 1‰

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Overview MAC-G320 automatic mold flux feeding system is a new generation product of automatic adding mold flux, which is independently developed by Wuhan CenterRise M&C Engineering Co., Ltd. According to different steel grades, casting speed, vibration and other process parameters, then the system can analyze and calculate the accurate mold flux addition amount through intelligent software. Then the system sends out signals to control the mold flux addition process and mold flux addition amount, and designs appropriate nozzles and propellers according to the fluidity of molten steel in the mold and the ductility of mold flux. After the system setting is completed, there is no manual intervention is required. It completely replaces the whole process of manual addition of mold flux, and realizes the automation of mold flux addition. The features of the system 1. The system automatically controls the amount, process and time of adding mold flux according to the process requirements of automatic mold flux addition, so as to maintain the physical state of the mold flux and prevent it from being broken. 2. The user can match different parameters according to actual needs, so as to change the length of the mold flux feeding time and the amount of mold flux, which can suit for the use of different segments and different casting speeds. 3. The casting speed signal is used and the amount of adding mold flux can be automatically adjusted according to the casting speed. The mold flux can be added timely and evenly, which can improve the quality of the billet and reduce labor intensity. 4. The time is controlled by PLC, no manual intervention is required. The adjustment is very convenient. It has manual, automatic, local and remote control modes. 5. The system has reliable performance and simple structure, and can be adapted to powder and granular mold flux. 6. It has a special anti-blocking nozzle and backflushing design to overcome the phenomenon of pipeline blockage. 7. Strong operability, simple and convenient maintenance, and low maintenance cost. 8. It can maintain the even distribution of the flux layer in the mold. The composition of the system The system consists of feeding trolley, feeding bucket, swing arm and feeder motor, swing arm transmission device, PLC and control equipment. 1. The feeding trolley is the support and walking equipment of the mold flux feeder. The basic equipment of the adding mold flux machine is installed on the feeding trolley. At the same time, the trolley can easily make the mold flux feeder walk to the working position or the parking position. 2. The feeding bucket is a device for holding mold flux. The mold flux is pre-filled in the feeding bucket and is evenly output through the feeder. The feeding bucket is provided with alarm contact of mold flux level limit.. 3. The swing arm and the feeder motor form a feeding and conveying device. The mold flux is evenly transmitted to the feed opening at the front end of the swing arm through the screw distributing device controlled by the motor. Then the mold flux can be used for mold distribution. 4. PLC and control equipment adjust and control the mold flux feeding speed, operation mode and control mode of the mold flux feeding machine, and realize various control modes and rates. 5. The swing arm transmission device controls the reciprocating motion of the swing arm according to the size of different molds, so that the mold flux is evenly distributed in the mold. The technical parameter Mold width: 500-2000mm Mold thickness: 100-500mm Type: screw conveying type mold flux feeding machine Heating method: stirring electric heating Arrangement location: on the pouring platform (with its own wheels to move) Adding capacity: 0.5～7.5L/min, continuously adjustable feeding tube Molding flux storage tank: 300 L, with material level detection and alarm Control mode: local/remote control, automatic /manual mode Molding flux type: granular flux or powder flux flux adding method: spiral swing adding flux Casting speed interlock: yes Mould size setting: yes Signal transmission: DP/Industrial Ethernet

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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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