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Overview The infrared converter slag detection system uses a far-infrared thermal imager to monitor the situation of converter tapping in real time, and is connected to the main control computer in the electrical room through the conversion and transmission of video signals. The radiation intensity in the infrared wavelength range of 7-14um is different to distinguish molten steel and slag. In the later stage of the converter tapping, the molten steel gradually decreases, and the steelmaking slag is involved in the molten steel and flows out of the tapping hole. After the thermal imager recognizes the steelmaking slag in the imaging temperature measurement, it will give an alarm according to the slag content ratio threshold set by the software. The thermal imager will start the slide plate to close the tapping hole, so as to realize the control of the slag in the converter tapping, and ensure the maximum yield of molten steel and the minimum control of the steelmaking slag content. The effect of slag detection in converter tapping is of great significance to the control effect of the slag amount. The converter slag detection and control system developed by our company conducts non-contact monitoring of the tapping steel flow through the far-infrared detector thermal imager. It can detect the slag condition in real time and output an alarm signal and control system, which can replace manual visual inspection and provide accurate, efficient and stable slag detection effect. When the system finds the slag, the intelligent control unit quickly makes a judgment of lifting the furnace and blocking the slag and outputs an alarm signal. As shown in Figure 1, the system includes thermal imager, front purge protection box, front electrical box, power distribution cabinet, main control monitor, monitor of rocking furnace chamber, sound and light alarm, infrared converter slag monitoring software system, etc. The features of thermal imager 1. The temperature measurement range is 200°C ~ 2000°C, high temperature measurement accuracy, and multiple temperature measurement intervals can be set. 2. High-resolution thermal imaging system, the imaging picture is clear, and the imaging color can be freely marked according to the set temperature. 3. With hot zone alarm function, the alarm zone and temperature range can be set arbitrarily. 4. With hot zone tracking function 5. Equipped with special 7~14um infrared filter lens The technical parameters 1. Temperature measurement range: 200°C ~ 2000°C 2. Temperature measurement accuracy: 2% 3. Detection accuracy and alarm accuracy: ≥98% 4. Resolution: ≥ 0.5℃ 5. Pixels: 640x240PT 6. Band: 7~14um 7. Field of view: 7.5°×5.5° 8. Frame rate: ≥ 25 frames/sec 9. Equipment service life: ≥5 years 10. The normal operation rate of the automatic control system: ≥99%

Overview The continuous casting vibration type ladle slag detection device is used to detect the slag content of the ladle nozzle in the steelmaking continuous casting process, so as to improve the cleanliness of the tundish molten steel and obtain the best yield of the ladle molten steel. The device adopts the principle of vibration detection. The LAG-S200 continuous casting ladle slag automatic detection system is developed by Wuhan CenterRise M&C Engineering Co., Ltd. after many years of research with many scientific research institutes, and fully combined with the actual situation on site. It has a real field application value as a continuous casting ladle slag automatic detection system. The meaning of the system 1. Reduce the amount of tundish slag 2. Improve the purity of molten steel 3. Improve the life of the tundish 4. Reduce sliding nozzle erosion 5. Reduce nozzle blockage 6. Increase continuous pouring heats 7. Reduce the amount of residual steel in the ladle when high-quality steel is casting 8. Improve the yield of molten steel 9. Improve the quality of continuous casting billets In order to improve the purity of the molten steel in the tundish, and improve the quality of the casting billet, especially to improve the quality of the billet in the transition section, and reduce the amount of residual steel in the high-quality ladle, and prolong the life of the tundish lining, and increase the continuous casting heats, it’s necessary to detect and control the slag in the later stage of continuous casting ladle casting. The working principle The LAG-S200 continuous casting ladle slag automatic monitoring system detects the slag state during the pouring process by receiving the vibration signal of the mechanical operating arm of the ladle nozzle. In the process of molten steel pouring, when molten steel flows through the long nozzle and pours into the tundish, the molten steel impacts the wall of the long nozzle and causes the vibration of the mechanical operating arm used to support the long nozzle. Since the specific gravity of the steelmaking slag is less than half of the specific gravity of the molten steel, it floats on the surface of the molten steel, and the steelmaking slag appears when the molten steel is about to be all poured. At this time, due to the high viscosity and poor fluidity of light steelmaking slag, the impact force of the mixed flow of molten steel and steel slag on the wall of the long nozzle is quite different from that of pure molten steel. The system mainly monitors the ladle slag of the continuous casting by measuring and analyzing the vibration difference of the mechanical operating arm. The vibration signal is connected to the operation control unit of the system control cabinet through the front-stage conditioning and amplification module through the sensor installed in the middle of the operating rod. After processing, it is output to the industrial computer for operation and analysis. The slag signal detected by the system is output from the system control cabinet to the front-end control unit, and then control the alarm horn and alarm light to work, or issue an instruction to close the ladle nozzle. The features of the system (1) It is easy to install, basically no modification is made to the field equipment, and the installation and debugging work will not affect the normal production of the enterprise. (2) The detection accuracy is high, and the effective rate is greater than or equal to 95%. The threshold of slag volume is accurately set, the output control function is powerful. It has excellent performance in technical indicators such as the sensor service life and sensor usage times. (3) The sensor is installed at a position far away from the molten steel, and is cooled by a special refrigeration device for 24 hours. The outer layer adopts a composite protection structure, which has a long service life. (4) Adopt professional and targeted signal processing methods to obtain the vibration characteristic parameters of the ladle slag, and analyze, reason and judge the effective slag signal through the vibration signal database, which has a high accuracy of slag alarm. (5) The architecture is established based on the artificial intelligence network, which has the functions of self-learning and self-induction. (6) The equipment adopts a modular design. The failure of each module will not affect other parts, which ensure more reliable operation of the system and easy maintenance. (7) The alarm display device is used on site to visually indicate the flow state of molten steel and slag. When slag carryover strats, we can choose automatic mode or manual mode. In both modes, the system will give audible and visual alarm signals to remind on-site operators. (8) The system has a powerful database function. Including the comparison function for last two ladles of casting time record, the system automatically stores the running data, and generates a record file every day. (9) The system has the function of automatically controlling the ladle nozzle. The control unit is an auxiliary system of the system, which is interconnected with the ladle slag detection system to automatically control the opening of the ladle nozzle and realize the whole-process control of the liquid level of the molten steel in the tundish. The composition of the system The LAG-S200 slag detection system consists of: vibration detection sensor, pre-signal amplifier, slag detection operation unit, tundish liquid level control unit, on-site operation indication box, and process control cabinet. 1. Vibration detection sensor: It is installed on the robotic arm of the stopper to detect the vibration signal of the whole casting process of the ladle. 2. Pre-signal amplifier: Amplify, convert and transmit the weak vibration signal detected by the vibration detection sensor. 3. Slag detection operation unit: Analyze, judge and discriminate the vibration signal to realize the discrimination of all steel, mixed slag and full slag , and output the slag alarm signal. 4. Tundish liquid level control unit: Accept the control signal of the tundish nozzle and the ladle nozzle, and realize automatic or manual control to the ladle slag according to the requirements. 5. On-site operation instruction box: Provides man-machine exchange for slag alarm indication, fault indication, system activation mode selection, and control mode selection. 6. Process control cabinet, providing power management, displaying man-machine interface and setting management. The parameters of the system 1. The system controls the slag inclusion in molten steel with high precision and closes the nozzle in real time. 2. Improve the quality of steel, reduce defective products, and improve the yield. 3. The yield of molten steel is increased by 0.3%-0.5%. The nozzle can be automatically closed, so that the disadvantage of untimely manual response is overcome and less molten steel remains in the ladle. The threshold value of molten steel (slag threshold) is set by the user within a wide range. 4. No artificial factors are involved, high reliability, good repeatability or consistency. 5. The steelmaking slag does not pass through or rarely flows into the tundish, which increases the service life of the refractory material and the sliding nozzle. 6. Reduce the blockage of the tundish nozzle and increase the number of continuous pouring heats of the tundish.

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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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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.