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Overview The system realizes the fixed-length measurement of the width, thickness and length of the continuously cast product through machine vision and laser rangefinding system. The measured data is transmitted to the host system through the optical fiber. The host system calculates the weight of each billet according to different steel grades and specific gravity, so that we can realize the fixed length measurement and fixed weight control of the cast products and the precise control of the steelmaking process in the production process. After cutting the billets by fixed weight and length, the fixed weight cut-to-length system is checked by the online weighing measurement system, so as to give feedback to the fixed length model of control system. The slab number (automatic checking) can also be automatically identified online by using machine vision, and the weight and slab number can be automatically stored in the local database for use in the production and management system. The measuring principle of the system On the upper surface of the billet, a set of linear CCD cameras and a laser rangefinding instrument are respectively installed. Through machine vision and laser correction, we can achieve precise measurement of the cast products’ shape. Through accurate cast products’ shape monitoring, the billet thermal expansion coefficient of cast products and cast products’ density at the current temperature, we can obtain the quality of the billet. At the same time, we can achieve high-precision quality cut-to-length , namely, fixed-weight and fixed-length. The system can be matched with the weight detection and calibration system. The system adopts the online barrier-free hidden integral roller table weighing method for continuous casting products, and connects its weighing data into the intelligent control model. The model and steel billet weighing system, and the fixed weight cut-to-length system realize the closed-loop control of the system model, and optimize the fixed weight accuracy through automatic signal collection. The features of the equipment The cutting control technology for fixed-length and fixed-weight of cast products is a concrete manifestation of the lean production management of steel products. In the era of high-quality competition of steel products, only high-end intelligent technology and management can reduce costs, improve quality and market competitiveness. 1. 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. 2. 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. 3. The detection and cutting precision is high, the controllable length sizing accuracy is ±1mm, and the quality sizing accuracy is more than 1.5‰. 4. It is not sensitive to other high-intensity light interference, and overcomes the influence of light sources such as sunlight and arc welding. 5. The monitor displays the running status of the current hot billet in real time and displays the corresponding parameters. 6. Laser rangefinding and CCD machine vision are used to calculate the weight of the cast products and optimize the cutting to length. 7. Historical cutting data is automatically stored, and the system can set rules for historical data. 8. Support the free transformation of fixed length, and a variety of operation modes are available for the operator to choose. 9. Adopt advanced high temperature laser measurement and high pixel linear CCD technology. 10. The system provides abundant interfaces, which can communicate with the PLC control. 11. Applicable to all kinds of continuous casting machine flame cutting system. 12. Provide automatic, upper and manual cutting control. The main technical requirements 1. Width range of the inspected cast product: 120~2000 mm 2. Length range of the inspected cast product: 1000~20000 mm 3. Thickness range of the inspected cast product: 35~400 mm 4. Steel billet moving speed: 3.5 m/s 5. Billet running speed: 6.5m/min 6. Temperature of the measured steel billet: 0~850 °C 7. Measurement accuracy: width ±0.2mm thickness ±0.2mm length ±0.2mm 8. Fixed weight accuracy: 0.8‰ (temperature model verification) 9. Quality inspection check: 1‰

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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

Unfortunately have to sell my Chinese water dragons and I need to down size on my reptile room these 2 are extremely friendly and love to come out and roam full working vivarium vivarium is large as you can see in images so need a van to come remove and 2 or 3 people to carry down stairs please contact me on [telephone removed]

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

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....