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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!

Our amazing litter was born on 18th of December mum is stunning tri colour and dad is a lemon and white tri both pedigrees dad has five generations blood line with his papers to prove. We have a litter of 9 chunky playful pups all wormed and....

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Hazrat Syed Sakhi Zain ul Abideen (RA) migrated from Baghdad to Saudi Arabia and spent 22 years in Madina Munawara.One night, holy Prophet hazrat Mohammad (may peace be upon him) appeared in a dream and instructed him to go to India, convince the people to the right path, preach or spread the teachings of Islam.Obeying the orders of the holy Prophet Hazrat Mohammad (may peace be upon him), the Sufi Saint left Madina Munawara and came to Shahkot. The Sufi saint is the father of a famous Sufi Hazrat Syed Ahmad Sultan, known as Sakhi Sarwar, the bountiful Chief, shrine at Sakhi Sarwar Pakistan. Hazrat syed sakhi Zain ul Abideen (RA) practised austerities and prayers in shahkot, The great renowned Sufi saints paternal genealogy is directly related ten generation up with Ameer ul Momeneen (commander of faithful) Hazrat Imam Ali Ibne Abu Talib R.A, thus he was a direct descendant of the holy Prophet Hazrat Mohammad (may peace be upon him). The name Zain ul Abideen was selected by his father Syed Umar due to the deep love and devotion with Imam Zain ul Abideen (A.S). Specification. Object Name: Seal stamp Description: Syed Zain ul Abideen Shah"Sultan Sarwar" Inscription Script : Arabic Inscription Technique: Engraved Date Period: A D 13th Century 1248 Time period: A D 13th Century Geography: Indian Subcontinent (Central Asia) Culture/period: Islamic Condition: Excellent Relics of the Islamic saints strengthens spiritual beliefs, inspire people and give them comfort in tough times. The holy seal is a precious asset handed down from generation to generation, extremely rare and a genuine masterpiece regarding the sacred relics of the early Islāmic saints.

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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%

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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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