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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 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.

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