基于iFIX组态软件的辅网报警系统

本文以大同市大唐国际云冈热电有限责任公司一期辅网监控系统为背景,利用原有iFIX组态软件进行报警信息集成,实现对一期辅网控制设备运行状况的实时监控和故障报警,并对报警信息进行记录,保障了电厂一期辅网设备的安全运行。     

iFIX在余热发电监控系统中的应用

根据水泥窑纯低温余热发电系统工艺特点及控制要求,设计了基于iFIX组态软件的余热发电监控系统。该系统具有强大的监视、控制和管理功能,能够实时地显示被监控设备的各种数据,同时完成报警、趋势曲线、历史记录、报表打印等功能。运行结果表明,该系统很好地满足了水泥生产线余热发电控制要求。     

基于iFIX组态软件的电气化铁道监控系统

介绍了一个采用iFIX组态软件实现监控功能的电气化铁道监控系统,该系统具有强大的监视、控制和管理功能,不仅能够实时地显示沿线牵引变电所被监控设备的各种数据,而且还把数据的变化以动画的方式形象地表示出来,同时完成报警、趋势曲线、成组显示、历史记录、报表打印等功能.     

基于iFIX的生产线上位机数字化监控系统开发研究

介绍了iFIX软件在金切行业柔性自动化生产线集成中的应用,详细分析了采用iFIX软件开发某柔性自动化生产线上位机监控系统的过程。利用OPC技术,基于iFIX软件和SQL Server数据库管理软件,实现了对柔性自动化生产线的运行可视化监控、生产过程的信息化管理、质量追溯等功能。     

iFIX与MATLAB间的数据交换技术及其应用

介绍了iFIX与MATLAB的3种数据交换技术DDE、OPC和ActiveX,详细阐述了用DDE和OPC技术实现iFIX与MATLAB间数据交换的具体过程,并结合电厂水汽化学过程监控系统,介绍了工控组态软件iFIX与MATLAB之间3种数据交换技术的设计、实现和应用,具有重要的应用价值。     

高炉故障报警系统的规范化与应用

通过介绍故障报警系统在高炉的应用经验,对自动化控制系统中的故障报警技术进行了深入研究,并对自动化控制系统中故障报警的重要意义以及如何有效地获得故障报警信息作了一些探讨。     

基于iFIX的电厂实时信息系统

介绍某电厂基于iFIX与工业以太网的实时信息系统.系统采用UDP、OPC等数据传输协议将锅炉汽机系统、电气系统、输煤程控系统、分仓计量系统、泵房监测系统等生产数据上传至基于iFIX的SIS服务器,从而实现各生产车间生产数据的实时监测.     

iFIX中使用Excel制作报表的应用实例

本文介绍了在使用工业自动化软件iFIX过程中,利用iFIX自身集成的VBA标准脚本语言以及OLE自动化技术,控制Excel制作报表以及打印报表的方法.     

基于模糊自适应PID控制的中央空调监控系统研究

针对中央空调系统存在非线性、不确定性和干扰性等问题,构建了基于iFIX组态软件和MATLAB的模糊自适应PID中央空调监控系统,并且在中央空调模型上成功运行,运行效果良好。     

基于Windows2000系统下iFIX3.5的升级换代

安钢自动化软件股份有限公司承接了安阳钢铁1号烧结机PLC的升级与改造,由于1号烧结机运行至今已有十余年,计算机老化且运行缓慢,上位软件落后,存在工作效率低,安全隐患大等情况。为了紧跟工业现代化的步伐,我们把计算机与PLC上位软件都进行了升级,在此过程中克服了iFIX升级所遇到的难题——即升级到iFIX5.8查询不到历史数据库,无历史定义。     

基于VBA的DDE多位号报警系统的实现

某中外合资气体有限公司A从开发了DDE多位号报警系统后,极好地弥补了原有报警系统的不足,及时发现设备故障,提前做出预防措施,最大限度保护设备．避免事故恶化造成重大损失。在DDE多位号报警系统中,VB经过动态数据交换DDE读工控组软件FIX7.0数据,执行VB程序．在Excel中实时监视。斜率对比判断异常,DDE传送数据到工控组软件FIX7．0,在FIX7．0监控画面产生报警指示。     

Alarm system optimization for increasing operations productivity

While it is widely recognized that total quality is a cost problem for production systems, it is less well recognized that alarm system efficiency is also an important cost problem. Practically, a well-designed alarm system is an essential tool in to maintain effective plant operations. Poorly designed alarm systems cause unnecessary disturbances, a waste of resources, and decreased plant operability. All of these adversely impact product quality and cost efficiency. Ongoing production system changes and enhancements typically increase the number of potential alarms. They are added to the existing alarm trip points, which are usually kept originally designed. This causes an ever-increasing number of alarms to be generated. On the other hand, the number of operators is usually kept the same or is even reduced for the requirements of the cost control. This results in an increasing number of alarms for each operator to handle, thereby worsening total productivity. It is important to evaluate repeatedly how operators react to the alarms. Alarm system efficiency can be evaluated by capturing when, where, and how frequently alarm messages are generated, and by comparing how operators respond to them. It is also important to analyze statistically the efficiency for each part of a facility or each product in order to optimize a better alarm system.     

复合地板加工刀具齿外径检测算法的研究与实现

为了提高复合地板加工刀具齿外径检测的可靠性,防止刀具转速较快引起的“丢齿”问题,设计了一套刀具齿外径检验算法.首先预设定检测的最大值和最小值,其中最大值作为一个刀齿检测的起始标志,最小值作为一个刀齿检测的结束标志,系统只检测此范围的数据；然后搜索每个检测过程中的峰值,如果峰值序列中出现偏差值大于告警上限的刀齿,则告警标识；最后对所有峰值序列进行排序,以便刀具的后期修复.实验结果证明,该算法运行可靠性好,效率高.     

Process alarm prediction using deep learning and word embedding methods

Industrial alarm systems play an essential role for the safe management of process operations. With the increase in automation and instrumentation of modern process plants, the number of alarms that the operators manage has also increased significantly. The operators are expected to make critical decisions in the presence of flooding alarms, poorly configured and maintained alarms and many nuisance alarms. In this environment, if the incoming alarms can be correctly predicted before they actually occur, the operators may have a chance to address and possibly avoid abnormal behaviors by taking corrective actions in time. Inspired by the application of deep learning in natural language processing, this paper presents an alarm prediction method based on word embedding and recurrent neural networks to predict the next alarm in a process setting. This represents both a novel approach to alarm management as well as a novel application of natural language processing and deep learning techniques to this problem. The proposed method is applied to an actual case study to demonstrate its performance.     

Design of medical device alarm systems

Medical device alarms are intended to enhance safety by augmenting the operator's ability to monitor an array of system and patient variables. To this end, alarm design must consider both technical and human requirements. Technical factors include selection of variables, limit-setting techniques, alarm reliability, and alarm output system. Human factors include the types of controls, displays, and instructional materials that assist the users in effective use of the machine. The designer and the user of medical devices must recognize that alarms can at times present problems unless the operator takes care to maintain correct use and to avoid false reliance on the alarm's ability to indicate all unacceptable conditions in the clinical setting.     

基于图像处理技术的同步环智能检测系统

针对汽车生产线上同步环监测过程中检测错误率高的不足,提出了基于图像处理技术的同步环自动定位检测的解决方案,该系统通过一个实用的算法校正了生产线的位置移动对检测结果带来的影响,并充分利用一些巧妙的手段消除了背景光、工人走动等带来的干扰,可以对生产线进行实时监测,能检测出微小同步环是否安装及具体是哪一个同步环被漏装,并自动报警、保存出错信息。系统已成功的应用于汽车生产线上。     

基于COM的iFIX VBA与MATLAB混合编程技术及其在火电厂水汽化学过程故障诊断系统中的应用

介绍了基于COM技术的iFIXVBA与MATLAB混合编程的方法与具体实现过程,并以火电厂凝汽器泄漏故障模糊推理诊断为例,说明了其在火电厂水汽化学过程故障诊断中的应用。该方法使用简单方便,可扩展性良好,具有普遍应用价值。     

大吨位锻压设备力能特性标定的重要性和关键技术

结合作者标定大吨位锻压设备力能特性的经验 ,介绍了锻压设备力能特性标定的重要性以及一些理论基础和关键技术 :包括如何以此为依据进行锻压设备设计、生产、安装与调试、故障分析与判断 ;锻造生产时如何以此为依据选择设备、避免闷车和打滑 ,保证锻件质量和延长设备寿命等 ;标定时如何克服变形速率的影响、如何选择标定试样的材料和尺寸等关键技术。并建议尽快建立大吨位锻压设备力能特性标定的行业标准。     

一种新型TPMS设计与实现

介绍了一种直接系统方式的新型轮胎压力监测系统(TPMS)解决方案,并给出了系统设计相关硬件构成、软件流程和通信设计参考.该系统可实时检测汽车行驶时的轮胎内部状态,在出现压力或温度的异常变化情况下,可及时报警,从而有效避免因爆胎引起的交通事故.