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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.

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.

Stunning Tri-Colour Pedigree Puppies for Sale. Only 3 girls left. Born 8th January and ready to re-home 4th March. These puppies have been home bred and reared within a family home. Mother can be seen with puppies and is from Chantryland an....Beautiful litter of chunky beagle puppies. Lemon and white & Tri in colour. Boys and girls available. They have gorgeous long floppy ears and cheeky personalities. They are ready now for there forever loving homes. Mum is a tri colo....We have for sale 4 wonderful beagle puppies they r good with kids other pets they r all up to date with wormed & flees & vacation they also comes with a dog lead good home only

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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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