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The composition of the system The photoelectric strip automatic center position control system is mainly composed of sensors, amplifiers, PLC controllers, hydraulic control and other parts. System composition block diagram The main technical parameters 1. Detection width: 300-2800mm 2. Detection light source: 220VAC. (100VAC) 30W. High frequency white light works continuously 3. Photodetector: precision die-casting components, time constant 20ms 4. Maximum working voltage: 50VDC 5. Distance from receiver to emitter: 300-1000mm 6. Operating temperature: 0℃-60℃ 7. Resolution: 0.5mm 8. Linearity: ±1%F.S (after linearization) 9. Repeatability error: △R1%, F.S 10. Servo-valve working signal: ±10V 11. Rated pressure (oil pressure): 4.5Mpa 12. Rated flow: 30L/min 13. Symmetry: 10%

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Starting a bakery business is thrilling, but success requires the proper equipment. The instruments you select will not only help you make high-quality baked items, but will also streamline your operations, increasing your bakery's efficiency and profitability. Here's a list of the basic bakery equipment from the Bakery Machinery Manufacturers, you'll require to get started the Successful Bakery Business. https://www.tradebrio.com/exporters/bakery-machinery.html

Overview: LGK-S107 analog heat source instrument (heating tool) is independently developed and designed by Wuhan CenterRise M&C CO., Ltd. This instrument is a heating and testing equipment used to test the performance of the thermocouples installed in the mold in continuous casting machine. After the installation of the mold breakout prediction thermocouples completed, the analog heat source instrument is used to test these thermocouples before they go online. After the thermocouple is connected to the mold thermocouple detector, the current temperature of each thermocouple point will be displayed. By using our heating device to heat the copper plate point of each thermocouple at a fixed point, the thermocouple will have a synchronous temperature rise and then we can observe the temperature rise curve of the same column of temperature points to see whether the temperature measurement consistency of the column of thermocouples is consistent, so as to judge the overall status of thermocouples installed in the mold. If an abnormal point occurs, it needs to be repaired and replaced, so as to ensure the stable operation of the mold breakout prediction system. The working principle: The heating tool generates high heat by 220v alternating current and the electric heating element. The heat is transmitted to the copper plate of the mold through the copper head to simulate the heat source of molten steel, so that the thermocouples of the mold can sense the temperature change to achieve the purpose of calibrating the temperature measurement system. The composition: Walking trolley mechanism Preloader Pure copper heating contacts PID thermostat High power heating tube high power driver The parameters: Power supply: AC220V 50Hz Total power: 2200W Single point power: 300W Temperature control accuracy: 1°C Temperature control range: 0°C-500°C Common temperature range: 25°C-300°C Heating points: 3 (points can be customized) Heating method: heating tube heating Heating contact material: copper

imported Friesian 4 yr old mare for sale. This filly has been backed a few months ago in Holland just for 2 weeks and then came to the uk. advertised due to her needing more one to one. the most amazing mover and really one to be graded and could do well. sad sale as just overstocked. no bargain hunters need to inquire pls as I won't accept offers price is firm. No novices pls. this mare is not for the pussy due to being a little worried with mounting but will settle quick. extremely low inbreeding only 0.39% her sire is the top stallion Sjouke 453 dam is Katrina who is out of Sierk 326

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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