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Overview The WGS-L200 Laser Slab/ Plate Steel Width Measuring System adopts the principle of double laser triangulation reflection to process the online measurement of the steel plate on the roller bed, and combines the high-speed digital signal processing technology and programming software to process the signal correspondingly, and displays the relevant data and measurement curve, so as to realize the accurate control for steelmaking process during the production. The WGS-L200 Laser Slab/Plate Steel Width Measuring System is mainly composed of computing processing software and hardware systems such as testing equipment, computing equipment. The hardware system consists of 2 sets of laser triangulation rangefinding system, on-site signal acquisition and transmission system, operation unit, host analysis and control alarm system, etc. The software of WGS-L200 laser slab/ plate steel width measuring system mainly includes data acquisition and analysis, alarm software and data visualization operation software in the host system. The data analysis system analyzes and converts the data transmitted by the signal acquisition and analysis system into the visual data of the main control room, and completes the width measurement monitoring work in the slab production operation through the set alarm threshold. The measuring principle of the system The WGS-L200 Laser Slab/Plate Steel Width Measuring System is mainly composed of computing processing software and hardware systems such as testing equipment, computing equipment. The hardware system consists of 2 sets of laser triangulation rangefinding system, on-site signal acquisition and transmission system, operation unit, host analysis and control alarm system, etc. The software of WGS-L200 laser slab/ plate steel width measuring system mainly includes data acquisition and analysis, alarm software and data visualization operation software in the host system. The data analysis system analyzes and converts the data transmitted by the signal acquisition and analysis system into the visual data of the main control room, and completes the width measurement monitoring work in the slab production operation through the set alarm threshold. The features of the system 1. Using the principle of laser triangulation reflection, it is very suitable for dynamic measurement, and the dynamic measurement accuracy is high. 2. Non-contact type, namely, the laser rangefinding sensor is installed on the upper and lower sides of the strip conveying guide groove, and the width measurement device is not in direct contact with the strip. 3. Continuous and fast sampling measurement, the sampling frequency is 300Hz-2000Hz. The measurement frequency can be set freely to realize high-speed width detection. 4. It can effectively identify and compensate the beating, inclination, side deflection and profile of the tested plate; 5. Excellent mathematical model realizes accurate width detection of the bad profile; 6. The software interface is good, powerful, easy to operate and maintenance-free; 7. The software has self-diagnosis function; 8. Full digital detection, automatic calibration system; 9. High measurement accuracy and fast response; 10. Using optical fiber signal transmission; 11. Quality control alarm; The technical parameters Measuring distance: 0.5-0.8m (according to the on-site environment) Resolution: ±0.1mm Repeatability: 0.2mm Measurement output frequency: 100-3KHz Laser class: 2 (IEC60825-1:2014) Protection class: IP65 Communication method: TCP/IP communication

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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 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.