基于组态软件和PLC的锅炉水处理自动监控系统

介绍了集工业控制计算机、MCGS组态软件、PLC、变频器于一体的锅炉水处理自动监控系统.此系统实现了数据的集中管理、自动控制、故障检测等多方面功能,为锅炉的连续、稳定、安全运行提供了保证.     

工业锅炉汽包水位自动控制系统设计

０　前　言随着科学技术的不断发展以及对节能和自动控制要求的不断提高,对实现自动控制的手段要求更高,这样就为计算机在自动控制中的应用提出了迫切要求,而计算机技术本身的迅速发展也为其应用提供了可能性。一台锅炉要能安全、可靠、有效地运行,运行参数达到设计值,除了锅炉本身设备和各种辅机完好外,还必须要求自动化仪表工作正常和自动控制系统设计方案正确。对于不同的锅炉及其控制要求的差异应采取相应的控制方案设计。本文结合多年来的自动控制工程应用实践经验,参照成熟的自动控制系统方案,根据锅炉的不同使用情况,选择针…     

Intellution iFIX V3.0在锅炉自动控制系统的应用

天钢汽动鼓风机站锅炉自动控制监控系统包括三台锅炉和一个除氧给水站，阐述了系统的基本构成和设计思想以及利用Intellution iFIX V3．0实现锅炉自控系统上位监控。     

基于软PLC的分布式锅炉微机控制系统

本文介绍了基于研华Adam55ll软PLC的集散型锅炉微机控制系统．该系统已用于某高校供热锅炉系统的控制中。系统实现了供热锅炉的自动控制和燃烧优化控制，可显著提高锅炉热效率，减少污染。系统还通过企业内部网连接到了Internet上。实现了远程监控。     

可编程序控制器在电加热锅炉控制中的应用

本介绍了使用西门子的S7-200可编程序控制器在电加热锅炉自动控制中的应用，并介绍了电加热锅炉的基本情况和系统要求，给出了系统实现的基本过程和编程原理。     

锅炉的计算机冗余控制系统

锅炉计算机自动控制系统,可为操作人员提供方便的数据显示和操作,系统的多级报警功能,可提示系统故障和维修措施。自动控制系统设备可冗余互补工作,提高了锅炉系统的稳定性和安全性。     

锅炉计算机控制系统

锅炉系统中用计算机自动控制,不仅能为操作人员提供可靠的数据信息,而且还能提供主要检测点的动态出面,它还具有可靠的多级报警系统,可提示故障点和维修措施。同时,计算机系统还能从宏观的角度调节锅炉燃烧,使整个锅炉燃烧系统从整体上协调运行,实现生产过程自动化。     

Wonderware软件在楼宇自控系统中的应用

楼宇自动控制系统（BMS）是实现楼宇恒温、恒湿、恒压（变频）自动控制．实现冷冻水、冷却水、热水、锅炉系统、柴油供应系统，消防水系统、UPS系统、VAV（变风量控制器）系统等在BMS室的远程监控的系统，为此．本文介绍的楼宇自动控制系统项目采用了美国Wonderware公司的InTouch产品．以及法国施耐德PLC产品，组建了一个性能稳定可靠的控制系统。     

基于工业以太网的热备冗余锅炉控制系统

为提高锅炉的效率和节约能源,对现代锅炉系统的自动化运行和管理水平提出较高要求。本文运用UNITY QUANTUM PLC和IFIX组态软件,开发自动控制软件对锅炉系统进行自动控制,利用热备冗余模块提高系统的可靠性能．从而保证系统有故障时能连续运行。组态软件IFIX具有强大的控制、监视和数据管理功能．极大方便了锅炉的可视化控制。采用以太网技术可以方便地实现设备的网络连接,实现了IFIX与PLC之间的高效通信。     

注汽锅炉计算机控制系统的设计

本文介绍了注汽锅炉计算机控制系统的控制方案及硬件、软件的具体设计。实现了对锅炉供水系统、负压调节系统以及锅炉燃烧系统的自动控制任务。并且采用热效率自寻优的方法自动调节风煤比，达到了经济燃烧的目的，系统运行表明：本系统大大提高了锅炉运行的稳定性、经济性，减轻了操作人员的劳动强度，收到了满意的控制效果。     

Robustifying AdaBoost by adding the naive error rate

AdaBoost can be derived by sequential minimization of the exponential loss function. It implements the learning process by exponentially reweighting examples according to classification results. However, weights are often too sharply tuned, so that AdaBoost suffers from the nonrobustness and overlearning. Wepropose a new boosting method that is a slight modification of AdaBoost. The loss function is defined by a mixture of the exponential loss and naive error loss functions. As a result, the proposed method incorporates the effect of forgetfulness into AdaBoost. The statistical significance of our method is discussed, and simulations are presented for confirmation.     

Comments on the stabilization of nonlinear systems by adding anintegrator

We present a new proof of the result that static stabilizability implies dynamic stabilizability. The goal is to show how to compute explicitly the stabilizing feedback in some cases when the classical proof shows only the existence. New results on dynamic feedback stabilization are proposed     

一种加入类间因素的曲线聚类算法

针对目前的曲线聚类算法基于类内差异设计，造成不同类之间的曲线区分度不高的问题。在曲线拟合、曲线距离界定的基础上，构造新的目标函数，提出同时考虑类内和类间差异的曲线聚类算法。模拟结果显示，该曲线聚类能够提高聚类精度；针对NO₂污染物小时浓度的实例分析表明，该曲线聚类算法具有更好的类间区分度。     

Statistical simulation: adding efficiency to the computer designer's toolbox

Statistical simulation enables quick and accurate design decisions in the early stages of computer design, at the processor and system levels. it complements detailed but slower architectural simulations, reducing total design time and cost.     

Linux下增加系统调用的二种方法

在分析Linux系统调用机制的基础上通过修改内核源代码和插入内核模块实现二种增加系统调用的方法。     

Structural damage identification by adding virtual masses

This paper presents a method for damage identification by adding virtual masses to the structure in order to increase its sensitivity to local damages. The main concept is based on the Virtual Distortion Method (VDM), which is a fast structural reanalysis method that employs virtual distortions or pseudo loads to simulate structural modifications. In this paper, the structure with an added virtual mass is called the virtual structure. First, the acceleration frequency response of the virtual structure is constructed numerically by the VDM using local dynamic data measured only by a single excitation sensor and a single acceleration sensor. Second, the value of the additional mass is determined via sensitivity analysis of the constructed frequency responses of the virtual structure with respect to damage parameters; only the natural frequencies with high sensitivity are selected. This process is repeated for all the considered placements of the virtual mass. At last, the selected natural frequencies of all the virtual structures are used together for damage identification of the real structure. A finite element (FE) model of a plane frame is used to introduce and verify the proposed method. The damage can be identified precisely and effectively even under simulated 5 % Gaussian noise pollution.     

The effect of the specification model on the complexity of adding masking fault tolerance

In this paper, we investigate the effect of the representation of safety specification on the complexity of adding masking fault tolerance to programs - where, in the presence of faults, the program 1) recovers to states from where it satisfies its (safety and liveness) specification and 2) preserves its safety specification during recovery. Specifically, we concentrate on two approaches for modeling the safety specifications: 1) the bad transition (BT) model, where safety is modeled as a set of bad transitions that should not be executed by the program, and 2) the bad pair (BP) model, where safety is modeled as a set of finite sequences consisting of at most two successive transitions. If the safety specification is specified in the BT model, then it is known that the complexity of automatic addition of masking fault tolerance to high atomicity programs - where processes can read/write all program variables in an atomic step) - is polynomial in the state space of the program. However, for the case where one uses the BP model to specify safety specification, we show that the problem of adding masking fault tolerance to high atomicity programs is NP-complete. Therefore, we argue that automated synthesis of fault-tolerant programs is likely to be more successful if one focuses on problems where safety can be represented in the BT model.     

SwingStates: adding state machines to Java and the Swing toolkit

This article describes SwingStates, a Java toolkit designed to facilitate the development of graphical user interfaces and bring advanced interaction techniques to the Java platform. SwingStates is based on the use of finite‐state machines specified directly in Java to describe the behavior of interactive systems. State machines can be used to redefine the behavior of existing Swing widgets or, in combination with a new canvas widget that features a rich graphical model, to create brand new widgets. SwingStates also supports arbitrary input devices to implement novel interaction techniques based, for example, on bi‐manual or pressure‐sensitive input. We have used SwingStates in several Master's‐level classes over the past two years and have developed a benchmark approach to evaluate the toolkit in this context. The results demonstrate that SwingStates can be used by non‐expert developers with little training to successfully implement advanced interaction techniques. Copyright © 2007 John Wiley & Sons, Ltd.     

Stabilization of dynamical systems by adding a colored noise

Stabilization of dynamics of a system has been of great concern to researchers and practitioners over the years. It is observed that the system is more viscous if one adds a noise in the system. In the present situation, the system is perturbed by a (multiplicative) noise and the stable/unstable behavior is examined. It is then observed that, one can stabilize or destabilize a large class of systems of ordinary differential equations (ODE) and stochastic differential equations (SDE) if a noise is carefully added