基于有偏卡尔曼的双冗余热电阻数据滤波方法

针对水下生产控制系统温度测量系统中单个传感器易受水下复杂环境影响,出现温漂、测量精度低等问题,设计了一种双冗余温度测量传感器（采用两个热敏元件进行温度测量）。利用基于有偏卡尔曼的扩维融合方法进行数据处理,提高传感器融合测量精度。定义一个相似矩阵,用于在融合之前剔除故障传感器的测量数据,进一步提高测量结果的可靠性。实验结果表明：双冗余温度测量传感器具有精度高、抗干扰性能强的优点。     

数据协调中冗余性分析新方法

提出一种数据协调中的冗余性分析新方法 .根据尽量删除带有显著误差的变量 ,同时确保协调精度的原则 ,对所有检测出来的带有显著误差的变量 ,通过计算不同阶次的冗余度 ,按照冗余度的大小逐个选择可以删除的变量 .这样既充分利用了数据信息 ,又确保了协调精度 .仿真结果证实了该方法的有效性 .     

基于导向钻井工具的双冗余控制器设计

为了提高导向钻井工具在复杂地质环境下对井下姿态测量的可靠性,设计一套基于导向钻井的双冗余控制器。首先对双冗余控制器技术进行研究建立双冗余控制器模型,然后提出双冗余控制器方案。实验表明双冗余控制器不但能够检测出系统的故障,能够准确的切换主备控制器,极大的提高了系统的可靠性。     

基于PLC的矿用通风机监控冗余系统设计

主要针对当前我国井下煤矿综采作业中,基于单个PLC控制的通风机监控系统存在的安全隐患问题展开研究和分析。通过构建基于2个PLC的通风机监控冗余系统方案,采用"主站+备站"的模式,进一步提高了井下通风机监控系统的工作稳定性和可靠性,保证了井下作业的安全生产。     

海上油气设施数据整合系统循环冗余校验方法

由于传输数据的规模不断增加,导致校验的时间开销逐渐增大,为此,提出海上油气设施数据整合系统循环冗余校验方法研究,提取系统数据循环的特征,将其作为个性化循环冗余校验编码设计的基础,采用SDN技术计算在最小循环步长下,数据传输冗余与校验编码的相似性是否在自适应波动阈值范围内,实现对数据的校验.测试结果表明,设计方法对系统数...     

浮法玻璃DCS系统中的AP冗余丢失与相关处理

随着自动控制技术及浮法玻璃生产工艺水平的不断提高,浮法玻璃生产线几乎都采用了DCS系统对生产过程进行自动控制,其控制精度的高低以及可靠性直接影响到产品质量.通过长期工作实践,本文围绕影响DCS可靠性的关键因素讨论对治理AP冗余丢失、加强DCS可靠性的具体措施.     

控制系统的冗余选择

从控制系统的安全性,可靠性,可使用性等方面结合工厂实际介绍了控制系统的冗余选择基本方法。     

电梯控制系统可靠性的冗余设计

分析了系统可靠性模型的建立方法，针对电梯调速系统的可靠性进行了分析探讨，提出一种新的确定系统最优部件的可靠度和最优冗余数的方法，既给出系统单元冗余整数解，又使部件可靠度达到最优，试验分析结果表明了这种方法的有效性。     

化工过程中的数据协调及显著误差检测

测量数据中不可避免地会含有随机性误差及显误差。本在综合大量献的基础上，从数据协调及显误差检测两个方面系统，全面地介绍和比较了数据校正的有关方法，并对非线性及动态数据校正进行了讨论。     

基于参数估计的动态系统过失误差侦破与识别

The detection and identification of gross errors, especially measurement bias, plays a vital role in data reconciliation for nonlinear dynamic systems. Although parameter estimation method has been proved to be a powerful tool for bias identification, without a reliable and efficient bias detection strategy, the method is limited in efficiency and cannot be applied widely. In this paper, a new bias detection strategy is constructed to detect the presence of measurement bias and its occurrence time. With the help of this strategy, the number of parameters to be estimated is greatly reduced, and sequential detections and iterations are also avoided. In addition, the number of decision variables of the optimization model is reduced, through which the influence of the parameters estimated is reduced. By incorporating the strategy into the parameter estimation model, a new methodology named IPEBD (Improved Parameter Estimation method with Bias Detection strategy) is constructed. Simulation studies on a continuous stirred tank reactor (CSTR) and the Tennessee Eastman (TE) problem show that IPEBD is efficient for eliminating random errors, measurement biases and outliers contained in dynamic process data.     

一种基于MATLAB优化工具箱的数据协调方法

为了解决测量数据的不一致问题，并在可能的情况下对未测过程变量进行估计，本文提出了一种基于MATLAB优化工具箱的数据协调方法，并将该方法用于两个稳态非线性过程系统的数据协调和变量分类。计算结果表明该方法实用、有效。     

Data reconciliation strategy with time registration for the evaporation process in alumina production

In real industrial production, many mass and heat transfer processes are influenced by high temperature, high pressure, and even strong acid or alkali conditions. In addition, some important variables cannot be measured and chemical compositions are analyzed offline with a long time delay, which leads to inaccurate measurements of the process data. In this paper, a layered data reconciliation (LDR) method based on time registration is proposed to improve the measurement accuracy and estimate unmeasured variables. Considering that the material cannot be tagged and tracked in process manufacturing, a temporal and spatial matching strategy for the process data is designed based on a time‐correlation analysis matrix which is determined to describe the correlation of each time sequence in the data matrix. Then, a layered data reconciliation model with time registration is developed by reconciling the mass balance layer and the heat balance layer separately and stepwise, and the model is solved by the state transition algorithm. Meanwhile, regular terms and engineer's knowledge are introduced into the data reconciliation model to solve the problem of insufficient redundancy. The industrial verification results from the actual industrial evaporation process indicate that the accuracy of measured values is improved by using the proposed reconciliation strategy.     

基于冗余结构的大功率电镀电源设计

基于冗余结构,采用模块化思路设计出一种大功率电镀电源。由多个分散的模块电源构成并机系统,能根据负载需求灵活配比电源,利用STM32主控芯片和FPGA芯片组成集中控制系统实现均流控制,并利用FPGA芯片保证所有功率模块的同步性。该电镀电源具有成本低、控制精度高、可靠性强等优点,能够满足电镀工艺发展对电镀电源提出的要求。     

催化裂化装置反应再生过程ESD系统冗余设计

为提高催化裂化装置反应再生过程ESD系统的可靠性,设计了一套基于S7-400H PLC的双冗余ESD系统,并通过STEP7软件实现了相关的冗余功能.     

A regularization approach to the reconciliation of constrained data sets

A new iterative solution to the statistical adjustment of constrained data sets is derived in this paper. The method is general and may be applied to any weighted least squares problem containing nonlinear equality constraints. Other methods are available to solve this class of problem, but are complicated when unmeasured variables and model parameters are not all observable and the model constraints are not all independent. Of notable exception, however, are the methods of Crowe (1986) and Pai and Fisher (1988), although these implementations require the determination of a matrix projection at each iteration which may be computationally expensive. An alternative solution which makes the pragmatic assumption that the unmeasured variables and model parameters are known with a finite but equal uncertainty is proposed. We then re-formulate the well known data reconciliation solution in the absence of these unknowns to arrive at our new solution; hence the regularization approach. Another procedure for the classification of observable and redundant variables which does not require the explicit computation of the matrix projection is also given. The new algorithm is demonstrated using three illustrative examples previously used in other studies.     

UPS并联冗余技术的应用案例

介绍UPS并联冗余连接的运行条件和控制方式,分析UPS并联同步电路,阐述UPS并联冗余的实际应用。     

化工过程中基于小波滤波法的过失误差侦破研究

小波滤波能有效降低化工过程测量数据的随机误差,但却无法识别测量数据中是否存在过失误差。为此,本文通过总结大量小波滤波数据校正实例中校正值、分解层数与过失误差之间存在的关系,提出了三者之间的关系公式,并根据此公式侦破识别过失误差。对Aspen Dynamic模拟产生的测量数据的校正结果表明,文中提出的公式准确的反映出了校正值、分解层数和过失误差的关系,并且利用该公式能够有效地侦破和识别过失误差。     

一种基于消耗预测的钢铁企业煤气平衡与数据校正方法

煤气发生与消耗计量的不平衡是钢铁企业普遍存在的问题,传统的平衡方法难以客观、科学的进行煤气平衡与数据校正。本文建立了三种煤气消耗预测模型,能对轧钢类、炼钢类和烧结类用户的煤气消耗量进行预测,提出一种基于消耗预测的煤气自动平衡与数据校正方法,能够对各个用户的煤气用量进行数据校正,并能自动平衡煤气的总发生与总消耗计量。工业应用表明,所提方法能有效提高煤气平衡和数据校正的自动化程度,为企业成本核算和煤气调度提供重要依据。