FOXBORO 0303458A脉冲输入通道模块

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型号：FOXBORO 0303458A
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主营DCS控制系统备件，PLC系统备件及机器人系统备件，
优势品牌：Allen Bradley、BentlyNevada、ABB、Emerson Ovation、Honeywell DCS、Rockwell ICS Triplex、FOXBORO、Schneider PLC、GE Fanuc、Motorola、HIMA、TRICONEX、Prosoft等各种进口工业零部件
FOXBORO 0303458A脉冲输入通道模块

控制方法：铸坯的正常切割长度是由工艺决定并由过程计算机下达给火焰切割机的
PLC
并由其执行。当处于浇注末期时，过程计算机可根据此时铸流中的铸坯长度即时给出流的关断提示。当中包钢水浇铸完毕关闭塞棒或异钢种连浇时，过程计算机可根据此时铸流中的铸坯剩余长度、目标定尺长度、大定尺长度、小定尺长度即时的计算出切割时的佳切割尺寸组合，以保证铸坯的大的利用，尽可能地提高钢水的收得率。
2.4.3质量判定数学模型　质量判定模型根据铸流跟踪中各分段所记录的异常生产信息以及异常信息对板坯的影响程度对板坯质量进行分析、判定，评估出板坯的质量等级。控制方法：首先根据在浇铸过程中可能出现的各种事件对铸坯组织性能造成的影响的程度将各个事件定量的划为一个质量等级数。在铸坯形成的过程中，计算机将铸坯划分成若干一定长度的“段”，结合铸流跟踪模型并对段进行跟踪，在每一段经过实时过程参数监控点时可以将参数与临界值不断地进行比较并将异常事件参量作为铸坯质量的评估参数贮存起来。每段中可记录四个严重事件，但用于判定的只取其优先级别高的等级数。当板坯切割完成后，将板坯对应的段中的质量信息（等级数）提取出来，根据各段中有害事件的等级和在所有段中所占比例大小来确定该铸坯质量的优劣和综合质量等级并进行打印记录，终判定为废坯、保留坯（需进一步评估或处理）、良坯。　　　　影响铸坯质量的因素很多，例如：钢水成份超标、中包过热度超标、水口破损、冷却水阀门故障引起冷却异常、振动系统异常等。　　　　2.4.4拉速优化模型　　　　过程控制系统根据当前钢种成份（主要是碳含量）、宽度、厚度、中间包钢水温度、钢水剩余量、下包预计到达时间和结晶器冷却、二次冷却等信息自动计算出合适的当前建议稳定拉速和建议大拉速并显示给操作工，以调整生产节奏或防止漏钢或适当加大速度提高生产效率。2.4.5液压振动模型过程控制系统根据当前浇铸的钢种选择适合的振动模式和工艺参数，主要分为正弦（振频、振幅）和非正弦（振频、振幅和偏斜角）两种形式，振频和振幅可以预先设定，也可以随拉速变化，或者由目标速度负滑动率、速度、振幅来决定振动频率。一般振动振幅小于6mm,振动频率不超过380次/分，振动起步频率大于60次/分可以保证系统的稳定并避免对振动机械设备的磨损。同时，模型自动计算出振动的工艺参数：振动正滑动时间、负滑动时间、负滑动速度比、负滑动率供操作人员和工艺人员实时监控工艺效果，即时调整参数以达到好的脱模和减少振痕的目的。2.3.6动态轻压下模型过程控制系统根据浇铸过程中的钢种、板坯厚度宽度、结晶器水水量、二冷水水量、气量以及拉速、中间包钢水温度、生产环境参数等利用热传导理论推导计算出铸坯在各辊子坐标处的坯壳厚度和坯壳表面温度，从而找出板坯液芯凝固末端。根据不同钢种收缩率不同，再经过动态轻压下模型计算出在坯子凝固末端前某一范围内的辊缝压下量设定值并传给远程调辊缝系统执行，一般轻压下位置在铸坯固相率60%～80%区间，单位轻压下量不大于1.5mm/m。经过轻压下可以明显改善板坯凝固末端内部组织的偏析缺陷。　　　　2.5生产报表　　　　报表系统根据保存在数据库的历史生产信息，按客户要求通过人机交互界面系统生成、打印报表。主要生产报表为以下4种： 1）浇次报表：汇总一个浇次中炉次数量、钢水用量、板坯信息、介质消耗量等，为工厂的成本核算及产量核算提供依据。　　2）炉次报表：一炉钢水浇铸过程收集的数据：炉次钢水重量、生产时间、钢种成份、板坯情况等。1.2软件结构　　　　软件结构采用服务器/客户机结构，整个系统以数据库为中心，应用服务器中的通讯软件从基础自动化系统采集现场实时数据并保存到数据库服务器的ORACLE数据库中，计算模型从数据库提取数据经过计算后将结果放回数据库中供客户机监控显示或由通讯程序下载到基础自动化系统指导生产。　　　　数据库服务器装有WINDOWS2003SERVER操作系统，应用软件为ORACLE10g数据库软件，用于对所有实时数据和历史数据的存储、维护管理。 Control method: the normal cutting length of the casting blank is determined by the process and sent to the flame cutting machine by the process computer PLC And executed by it. When it is at the end of pouring, the process computer can give the prompt of cutting off the flow immediately according to the slab length in the current casting flow. When the stopper or continuous casting of different steel grades is closed after the pouring of molten steel in the tundish, the process computer can immediately calculate the optimal cutting size combination for cutting according to the remaining length of the billet, the target fixed length, the maximum fixed length, and the minimum fixed length in the casting stream, so as to ensure the maximum utilization of the billet and improve the yield of molten steel as much as possible.

2.4.3 Quality judgment mathematical model The quality judgment model analyzes and judges the slab quality according to the abnormal production information recorded in each segment of the casting stream tracking and the influence of the abnormal information on the slab, and evaluates the slab quality grade. Control method: firstly, each event is quantitatively classified into a quality grade according to the degree of influence of various events that may occur during the casting process on the structure and properties of the slab. In the process of slab formation, the computer divides the slab into several "segments" of a certain length, combines the casting flow tracking model and tracks the segments. When each segment passes the real-time process parameter monitoring point, the parameters can be continuously compared with the critical value, and the abnormal event parameters can be stored as the evaluation parameters of slab quality. Four most serious events can be recorded in each segment, but only the highest priority level is used for judgment. After the slab is cut, the quality information (grade number) in the corresponding section of the slab is extracted, and the quality and comprehensive quality grade of the slab are determined according to the grade of harmful events in each section and the proportion in all sections, and printed and recorded. Finally, the slab is determined as scrap, retained slab (to be further evaluated or treated), and good slab. There are many factors affecting the quality of casting billet, such as excessive molten steel composition, excessive tundish superheat, damaged nozzle, abnormal cooling caused by cooling water valve failure, abnormal vibration system, etc. 2.4.4 The process control system of casting speed optimization model automatically calculates the appropriate current recommended stable casting speed and recommended maximum casting speed according to the current steel composition (mainly carbon content), width, thickness, temperature of molten steel in the tundish, residual amount of molten steel, expected arrival time of ladle lowering, mold cooling, secondary cooling and other information, and displays them to the operator, Adjust the production rhythm or prevent breakout or increase the speed appropriately to improve production efficiency. 2.4.5 The hydraulic vibration model process control system selects the appropriate vibration mode and process parameters according to the current casting steel type, which are mainly divided into two forms: sinusoidal (vibration frequency, amplitude) and non sinusoidal (vibration frequency, amplitude and deflection angle). The vibration frequency and amplitude can be preset, or can change with the casting speed, or the vibration frequency can be determined by the negative slip rate, speed and amplitude of the target speed. Generally, the vibration amplitude is less than 6mm, the vibration frequency is not more than 380 times/minute, and the vibration starting frequency is more than 60 times/minute, which can ensure the stability of the system and avoid the wear of vibration machinery and equipment. At the same time, the model automatically calculates the vibration process parameters: vibration positive sliding time, negative sliding time, negative sliding speed ratio, and negative sliding rate for operators and technologists to monitor the process effect in real time, and adjust the parameters in time to achieve the best demoulding and reduce vibration marks. 2.3.6 The dynamic soft reduction model process control system deduces and calculates the shell thickness and shell surface temperature of the slab at each roller coordinate using the heat conduction theory according to the steel grade, slab thickness and width, mold water volume, secondary cooling water volume, air volume, casting speed, tundish steel temperature, production environment parameters, etc. during the casting process, so as to find out the solidification end of the slab liquid core. According to the different shrinkage rates of different steel grades, the set value of roll gap reduction within a certain range before the solidification end of the billet is calculated by the dynamic soft reduction model and transmitted to the remote roll gap adjustment system for execution. Generally, the soft reduction position is within the range of 60%~80% of the solid rate of the billet, and the unit soft reduction is not more than 1.5mm/m. After soft reduction, the segregation defect of the internal structure at the solidification end of the slab can be obviously improved. 2.5 The production report system generates and prints reports through the human-computer interaction interface system according to the historical production information saved in the database and customer requirements. The main production reports are as follows: 1) Casting report: summarize the quantity of heats, molten steel consumption, slab information, medium consumption, etc. in a casting to provide a basis for cost accounting and output accounting of the factory.
2) Heat report: the data collected in the process of one heat of molten steel casting: heat of molten steel weight, production time, steel composition, slab condition, etc. 1.2 Software structure The software structure adopts the server/client structure. The whole system is database centric. The communication software in the application server collects the on-site real-time data from the basic automation system and stores it in the ORACLE database of the database server, The calculation model extracts data from the database and puts the results back into the database after calculation for monitoring and display by the client or downloading the communication program to the basic automation system to guide production. The database server is equipped with WINDOWS2003SERVER operating system, and the application software is ORACLE10g database software, which is used for the storage, maintenance and management of all real-time data and historical data.

RELIANCE

ABB

GE

FOXBORO

EMERSON艾默生

A-B

MOTOROLA

TRICONEX

HONEYWELL霍尼韦尔

HIMA

140系列PLC

BENTLY本特利

其他

SST

EPRO

YOKOGAWA

MOOG

NI

WOODWARD伍德沃德

METSO

KOLLMORGEN科尔摩根

力士乐

ALSTOM阿尔斯通

YASKAWA安川

AMAT

ICS TRIPLEX

新能源系列

EATON

FOXBORO 0303458A脉冲输入通道模块

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