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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 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

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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