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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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We have 6 kittens that will be available as pets, they will be ready to leave home on 7 April 2016. There are 3 boys and 3 girls. Silver spotted and Brown spotted. Mum is a gorgeous Silver Marbled F6 and Dad is a stunning tarnish free Silver spotted boy. If you are interested in these babies, please contact me as there is always a great demand for these babies from this pairing. They always make fabulous big kittens and this is probably the last time that these two are paired together due to the age of Oliver. Viewings start at 8 weeks of age after their 1st vaccination when we will require a non-refundable deposit to secure your kitten. We can also early neuter your boys before they leave us, this will be chargeable, please ask us about this. Individual photos will be taken in a few weeks when kittens are weaning. Please note that some of the kittens are in the fuzzies so markings will not clear for a few weeks yet: Beige Collar - Cool Brown Boy Blue Collar - Silver Boy Green Collar - Silver Boy Purple Collar - Brown Girl Yellow Collar - Stunning Cool Brown Girl Pink Collar - Silver Girl

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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 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.

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