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GoLogica offers complete online training in data modeling that gives professionals the understanding and skills they need to understand data modeling methods. IT specialists, database developers, business analysts, and data analysts who want to become better in creating and managing data structures may benefit from this course. Basic topics covered in the course include entity-relational diagrams (ERDs), data mapping, normalization strategies, and abstract, logical, and physical data modeling. It also covers database design concepts, demonstrating how to build durable, scalable, and effective data models that correspond with business goals. This course, led by industry experts, gives participants practical knowledge through practical assignments, allowing them to apply what they've learned in actual situations. Whether you're new to data modeling or want to improve your existing skills, GoLogica Data Modeling Online Training provides a solid basis for creating and managing successful data models. Enroll in GoLogica Data Modeling Online Training today to obtain the knowledge you need to boost your career in data management and become a certified Data Modeling expert!

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Overview The all-digital non-touching infrared/laser automatic cut-to-length system developed by Wuhan CenterRise M&C Engineering Co., Ltd. is the first digital measurement, digital transmission, digital positioning and digital control technology in China. It is suitable for the primary and secondary cutting of continuously cast product of square billets, rectangular billets, slabs, round billets and shaped billets. It can automatically cut 1-24 strands billets to length at the same time, and display the casting speed and running status of each billet. The system has high measurement and control accuracy and strong anti-interference ability, which improves the output and quality of the cast products and reduces the labor intensity of the operator. The whole system has the advantages of low investment, simple installation, debugging and operation, and basically maintenance free. No need to change the original production equipment, a major breakthrough in the automatic cut-to-length cutting method, and it is also an important part of the continuous casting process, which has been highly praised by experts and manufacturers. Digital infrared cutting to length can also provide high-definition solutions, so that the measurement error is ±2mm, and the system can support 4 strands high-definition CCD image measurement. The features of the system 1. The system adopts advanced digital image processing technology (non-touching type) to identify the length of hot billet online, automatically controls the flame cutting machine to cut the hot billet to a certain length, detects and displays the running status and casting speed, and collects the image information of the moving billet from a long distance through an infrared camera. 2. The computer processes the image information by pattern recognition program, forms the operation information and converts it into the electrical signal of the specified format, so that the hot billet can be cut by the actuator. The system can cut the 1-24 strands to length at the same time with an infrared camera. 3. A schematic diagram of the overall layout and working principle of the system is shown in Figure 1. Fig 1 The functions of the system 1. Applicable to all kinds of continuous casting machine flame cutting system. 2. Adopt advanced digital image pickup technology. 3. It is not sensitive to other high-intensity light interference, and overcomes the influence of light sources such as sunlight and arc welding. 4. The system provides abundant interfaces, which can communicate with with the PLC. 5. The fixed-length parameters and data can be directly modified by the secondary system to optimize the fixed-length cutting. 6. Historical cutting data is automatically stored, and the system can set rules for historical data. 7. Support the free transformation of fixed length, and a variety of operation modes are available for the operator to choose. 8. 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. 9. The monitor displays the running status of the current hot billet in real time and displays the corresponding parameters. 10. 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. 11. Provide automatic, manual cutting control. 12. The detection and cutting precision is high, and the controllable precision is ±5mm. The extension of the system The system can install 1 to 8 cameras. Generally, when one camera cannot meet the requirements, the system can be equipped with 2 to 8 cameras. The camera can be fixed inside and outside the operating room perpendicular to the roller line, and the setting height is generally 3-5 meters, so that the camera can clearly and completely capture the image of the moving billet. High-definition line scan cameras can also be provided to perform high-precision positioning of each strand of cast products. Line scan cameras are used to support up to 12 strand systems, which ensures that the center of the viewing angle, the billet head, and the fixed-length mark are vertical to improve the cutting and fixed-length accuracy. The technical parameters 1.Numbers of caster stands: maximum 24 strands 2.Cutting method: flame cutting 3.Matching casting speed: ≤6.5m/s 4.Temperature range of billets: 1000℃ 5.Measurement accuracy: ±5mm 6.Cut-to-length range: 3-18m 7.Signal transmission: TCP/IP 8.Number of signals: pre-cut, cut

Starting a bakery business is thrilling, but success requires the proper equipment. The instruments you select will not only help you make high-quality baked items, but will also streamline your operations, increasing your bakery's efficiency and profitability. Here's a list of the basic bakery equipment from the Bakery Machinery Manufacturers, you'll require to get started the Successful Bakery Business. https://www.tradebrio.com/exporters/bakery-machinery.html

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Overview LDT-I200 is a new generation of converter lining thickness gauge launched by our company. The system equipment emits a pulsed laser beam to the lining surface of the converter, and receives the returned laser light to measure its flight time. Then the system equipment calculates the distance between the equipment and the target point according to the transmission speed of the laser. During measurement, the user pushes the equipment to a certain position on the platform in front of the converter, and the equipment can start to scan and measure the target area of the converter after the equipment performs rapid self-positioning. The Measuring principle The measurement speed of LDT-I200 can reach up to 2,000,000 points per second, and each scan can obtain distance data of more than 1.5 million points. The actual surface curve of the entire converter lining can be obtained by combining the measurement data of different positions and angles. During the measurement, the laser head of the equipment rotates at a certain step angle to rapidly change the angle of the pulsed laser beam. Within 4 minutes, the three-dimensional surface contour of the converter lining can be formed, and the thickness information of the furnace lining can be obtained through coordinate conversion calculation. The measurement accuracy up to ±2mm. In order to convert the distance from the internal point of the converter to the thickness gauge into the thickness of the furnace lining at each point, we must know the coordinate relationship between the trolley and the converter. We use the second laser head to position the trolley. When the trolley is pushed to the measurement site, the positioning laser head rotates at high speed to scan the three reflective strips opposite the converter. Through triangulation measurement and calculation, we can calculate the relative position of the trolley to the reflective strips. The coordinates of the reflective strip and the converter are known through mapping, so that the coordinates of the trolley relative to the converter can be accurately obtained. The main components 1. Laser measuring head 2. Wireless communication 3. Battery pack 4. Mobile laser thickness gauge host 5. Converter inclination measurement system 6. Cooling circulation system 7. Positioning auxiliary reflector 8. Laser positioning system The technical indexes Laser reproducibility: ±2mm Laser accuracy: ±2mm Local fastest measurement time: 15s Positioning time: 30s Full image measurement time: 4min The highest measurable lining temperature: 1850℃ Measuring distance: 0.5-25m Actual points are measured per frame: 1500000 points Continuous working time after fully charged: ≥3h Eye-safe laser: Class 1 laser product (doesn't hurt the eyes) The parameters of laser measuring head Measurement principle: According to the flight time and speed of the laser to calculate the distance Laser reproducibility: ±2mm Laser accuracy: ±2mm Scan rate: 2000000 points/second Measuring angle: vertical ±40°, horizontal 360° Maximum measurement temperature: 2200℃ Working temperature: -20℃-80℃ Cooling method: Integrated liquid cooling system, IP64 grade protection Laser wavelength: 1550nm (near infrared)

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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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