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Rawalpindi (Punjab)
Programmers Lab Training Institute is the best IT training institute for computer short courses in Rawalpindi Islamabad . Our mission is to empower every student with IT skills and knowledge. With a wide array of job oriented computer short courses, we ensure that our students are prepared to succeed in their careers. Our computer short courses include Website Designing Course In Rawalpindi, React-Native course,SEO course, Graphics Designing course, FUll Stack Web Development Course In Rawalpindi Social Media Marketing course, Digital Marketing course, Php course, Sql, Video Editing course, Content Writing course, Basic IT, course ,MS Office Course, and many more short courses.
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Pakistan (All cities)
Elevate yourself with ultra luxurious apartments by Risinia Skyon Bachupally gated community project. Risinia is offering 2 and 3BHK Gated Community flats in Bachupally Hyderabad. Book a Dream Home Now!
Rs 5.599,0
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Pakistan
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....
Rs 200,0
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Pakistan (All cities)
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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Pakistan (All cities)
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.
Rs 200.000,0
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Pakistan
6 left in total 4 youngsters and one proven pair Youngsters 4000 each all gorgeous pastel colours long tail feathers . All closed rung breeding pair at 4000 pair 4 young plus proven pair 5000
Rs 4.000,0
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Pakistan (All cities)
Himalayan Chef Whole Wheat Flour is a premium quality flour made from 100% whole wheat grains sourced from the fertile lands of Pakistan. Our unbleached and unenriched flour is packed with fiber, protein, and essential nutrients, making it an ideal choice for health-conscious consumers. https://wbm.com.pk/product/whole-wheat-flour-40-lbs-1814-kg-himalayan-chef?srsltid=AfmBOooL_2OymlrRGa_iNHxMLfYjoVR1LhxPTyj5-vkxlZgANSgS57R6
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Pakistan
2 pairs yellows for sale all in top condition ready for breeding they are 2015 bred birds 2 pairs yellows for sale all in top condition ready for breeding they are 2015 bred birds .....................2 pairs yellows for sale all in top condition ready for breeding they are 2015 bred birds
Rs 4.000,0
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Pakistan
due to a change in personal circumstances and a increase in work hours i am unfortunatly having to look for a new home for my four year old female beagle, jessie. Jessie has been spayed and is a member of the family it has been a very difficu....
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Pakistan (All cities)
Overview The continuous casting vibration type ladle slag detection device is used to detect the slag content of the ladle nozzle in the steelmaking continuous casting process, so as to improve the cleanliness of the tundish molten steel and obtain the best yield of the ladle molten steel. The device adopts the principle of vibration detection. The LAG-S200 continuous casting ladle slag automatic detection system is developed by Wuhan CenterRise M&C Engineering Co., Ltd. after many years of research with many scientific research institutes, and fully combined with the actual situation on site. It has a real field application value as a continuous casting ladle slag automatic detection system. The meaning of the system 1. Reduce the amount of tundish slag 2. Improve the purity of molten steel 3. Improve the life of the tundish 4. Reduce sliding nozzle erosion 5. Reduce nozzle blockage 6. Increase continuous pouring heats 7. Reduce the amount of residual steel in the ladle when high-quality steel is casting 8. Improve the yield of molten steel 9. Improve the quality of continuous casting billets In order to improve the purity of the molten steel in the tundish, and improve the quality of the casting billet, especially to improve the quality of the billet in the transition section, and reduce the amount of residual steel in the high-quality ladle, and prolong the life of the tundish lining, and increase the continuous casting heats, it’s necessary to detect and control the slag in the later stage of continuous casting ladle casting. The working principle The LAG-S200 continuous casting ladle slag automatic monitoring system detects the slag state during the pouring process by receiving the vibration signal of the mechanical operating arm of the ladle nozzle. In the process of molten steel pouring, when molten steel flows through the long nozzle and pours into the tundish, the molten steel impacts the wall of the long nozzle and causes the vibration of the mechanical operating arm used to support the long nozzle. Since the specific gravity of the steelmaking slag is less than half of the specific gravity of the molten steel, it floats on the surface of the molten steel, and the steelmaking slag appears when the molten steel is about to be all poured. At this time, due to the high viscosity and poor fluidity of light steelmaking slag, the impact force of the mixed flow of molten steel and steel slag on the wall of the long nozzle is quite different from that of pure molten steel. The system mainly monitors the ladle slag of the continuous casting by measuring and analyzing the vibration difference of the mechanical operating arm. The vibration signal is connected to the operation control unit of the system control cabinet through the front-stage conditioning and amplification module through the sensor installed in the middle of the operating rod. After processing, it is output to the industrial computer for operation and analysis. The slag signal detected by the system is output from the system control cabinet to the front-end control unit, and then control the alarm horn and alarm light to work, or issue an instruction to close the ladle nozzle. The features of the system (1) It is easy to install, basically no modification is made to the field equipment, and the installation and debugging work will not affect the normal production of the enterprise. (2) The detection accuracy is high, and the effective rate is greater than or equal to 95%. The threshold of slag volume is accurately set, the output control function is powerful. It has excellent performance in technical indicators such as the sensor service life and sensor usage times. (3) The sensor is installed at a position far away from the molten steel, and is cooled by a special refrigeration device for 24 hours. The outer layer adopts a composite protection structure, which has a long service life. (4) Adopt professional and targeted signal processing methods to obtain the vibration characteristic parameters of the ladle slag, and analyze, reason and judge the effective slag signal through the vibration signal database, which has a high accuracy of slag alarm. (5) The architecture is established based on the artificial intelligence network, which has the functions of self-learning and self-induction. (6) The equipment adopts a modular design. The failure of each module will not affect other parts, which ensure more reliable operation of the system and easy maintenance. (7) The alarm display device is used on site to visually indicate the flow state of molten steel and slag. When slag carryover strats, we can choose automatic mode or manual mode. In both modes, the system will give audible and visual alarm signals to remind on-site operators. (8) The system has a powerful database function. Including the comparison function for last two ladles of casting time record, the system automatically stores the running data, and generates a record file every day. (9) The system has the function of automatically controlling the ladle nozzle. The control unit is an auxiliary system of the system, which is interconnected with the ladle slag detection system to automatically control the opening of the ladle nozzle and realize the whole-process control of the liquid level of the molten steel in the tundish. The composition of the system The LAG-S200 slag detection system consists of: vibration detection sensor, pre-signal amplifier, slag detection operation unit, tundish liquid level control unit, on-site operation indication box, and process control cabinet. 1. Vibration detection sensor: It is installed on the robotic arm of the stopper to detect the vibration signal of the whole casting process of the ladle. 2. Pre-signal amplifier: Amplify, convert and transmit the weak vibration signal detected by the vibration detection sensor. 3. Slag detection operation unit: Analyze, judge and discriminate the vibration signal to realize the discrimination of all steel, mixed slag and full slag , and output the slag alarm signal. 4. Tundish liquid level control unit: Accept the control signal of the tundish nozzle and the ladle nozzle, and realize automatic or manual control to the ladle slag according to the requirements. 5. On-site operation instruction box: Provides man-machine exchange for slag alarm indication, fault indication, system activation mode selection, and control mode selection. 6. Process control cabinet, providing power management, displaying man-machine interface and setting management. The parameters of the system 1. The system controls the slag inclusion in molten steel with high precision and closes the nozzle in real time. 2. Improve the quality of steel, reduce defective products, and improve the yield. 3. The yield of molten steel is increased by 0.3%-0.5%. The nozzle can be automatically closed, so that the disadvantage of untimely manual response is overcome and less molten steel remains in the ladle. The threshold value of molten steel (slag threshold) is set by the user within a wide range. 4. No artificial factors are involved, high reliability, good repeatability or consistency. 5. The steelmaking slag does not pass through or rarely flows into the tundish, which increases the service life of the refractory material and the sliding nozzle. 6. Reduce the blockage of the tundish nozzle and increase the number of continuous pouring heats of the tundish.
Rs 200.000,0
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Pakistan (All cities)
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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Pakistan
Beautiful lemon and white female beagle pup for sale, 5 months old, fully vaccinated, microchipped, flee'd and wormed. Not kc registered and as she's our pet, mother or father can't be seen. Very playful, energetic and needs a caring family ....
Rs 200,0
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Lahore (Punjab)
SEO Training in Lahore offers comprehensive courses designed to equip individuals with the skills needed to excel in search engine optimization. Whether you're a beginner or looking to enhance your existing knowledge, our training programs cover everything from basic SEO principles to advanced strategies. You will learn keyword research, on-page and off-page optimization, technical SEO, content marketing, and the latest SEO tools and techniques. Our experienced instructors provide hands-on training with real-world examples, ensuring you can apply what you've learned immediately. The course also includes case studies, projects, and practical
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Pakistan (All cities)
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
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Pakistan (All cities)
Overview In order to ensure the quality of the slab, it is necessary to strictly control the performance and various parameters of the CCM’s guide roll within a certain error range. Due to the continuous casting machine (CCM) is large and in a harsh production environment, it is difficult to measure the performance of the continuous casting machine manually, and many parameters are difficult to measure. Therefore, it is very important to have a set of equipment that can simulate drawing of steel billet to realize the measurement of CCM’s various parameters and performance. The multifunctional strand condition monitor uses various sensors to realize the measurement of CCM’s roll gap value, the arc value of continuous casting section, the rotation quality of the rolls, and the water spray pressure under the condition of simulating drawing of steel billet. Therefore, the CCM’s quality can be controlled in real time, and it is convenient for the maintenance personnel to analyze the CCM’s measurement results. The problem areas of the casting machine equipment can also be found. If these problems doesn’t be found in time, it will cause the bad quality of CCM’s products, the steel breakout in pouring process, surface and internal cracks and centerline deviation. The measurement of the strand condition monitor Roll gap value: By measuring the distance between a series of inner arc guide rolls and outer arc guide rolls on the CCM’s roller bed. It can be used to set the correct roll gap spacing for each pair of guide rolls in the slab caster. Arc condition of guide roller : Measuring the position between the position of the CCM’s outer arc guide roll and the two adjacent guide rolls and then measuring the deviation compared with the origical position of CCM’s guide roll, we can obtain the arc condition of the outer arc guided roller. Guided roller rotation: It is possible to know whether each guided roller can rotate freely by measuring. Water spray pressure: The operation of the water spray cooling system can be judged by measuring the situation of secondary cooling water spray at different positions of CCM's width direction. Then we can accurately locate whether the water spray at a certain point is normal. The main components of the strand condition monitor 1. The main body of the strand condition monitor used to measure the continuous casting sector 2. The connecting chain between strand condition monitor and dummy bar 3. The storage rack chain of strand condition monitor 4. Battery charger: 24V 5A 5. Calibration equipment 6. Remote control 7. Laptop 8. Printer 9. Data communication cable The technical parameter 1. The measurement range of roll gap: 210mm, 230mm (can be customized according to requirements) 2. The measurement accuracy of roll gap: 0.01mm 3. The arc measurement range: ±80° 4. The arc measurement accuracy: 0.01° 5. The spray measurement range: 0-10 6. The spray measurement accuracy: ±1 7. The battery usage times: 3 times
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