大型结构试验和结构监测中的数据采集系统

结构试验和结构监测正在向大型化和复杂化发展,与之配套的数据采集系统也要能满足它们不断增长的需求。清华大学土木工程系开发了适用于土木工程结构试验与监测的集成数据采集系统 IMPDAS,它具有测点多,速度快,功能全等优点。它的任务,不仅仅是记录数据,而是集成并且管理数据,将各种数据信息有条理,有重点地反馈给试验者。本文将讨论计算机在大型结构试验和结构监测的数据采集及数据处理分析等方面的应用。     

宝珠寺重力坝安全监测设计及优化研究

大坝安全监测设计指导和控制着安全监测工作的进行，安全监测的效果和作用与监测设计质量有很大关系。通过对宝珠寺大级安全监测设计结果的研究，提出变形监测采用分段连续引张线法；渗流监测方面，测压管管径应小于50mm，且应根据不同测点量程，选用不同规格的仪器，以保证精度；应力监测有必要结合地质情况对监测设计进行优化；还应选择可能存在安全隐患和异常部位的测点进行自动化跟踪监测。     

构建媒体网络信息安全体系

通过对广州市电视台综合信息平台网络系统的应用现状及安全风险进行分析,提出基于网络层、系统层、用户层和安全策略管理全方位的网络信息安全体系.     

无线电车载监测站的信号采集与通讯系统

本系统采用LabVIEW对无线电监测信号进行采集和处理．并开发用户界面。在Delphi平台上运用远程访问服务实现了无线电车载监测站与中心固定站的通讯。LabVIEW主程序对通讯子程序进行调用。     

饮水沟堆积体抢险加固工程监测成果及预警分析

根据饮水沟堆积体边坡变形特征,采用数学模型对边坡稳定性进行了综合预测分析,及时提出边坡异常变形的预警;结合开挖、降雨、排水以及加固处理等因素,对监测成果进行分析,论证边坡变形机理,实时分析抢险加固效果,为制定抢险方案以及调整加固参数、优化施工组织和加快工程进度等提供了科学依据,是成功预警并高效治理大规模变形体边坡的典型工程案例,可供类似工程参考。     

无线监测示功仪的研制与应用

针对常规示功仪资料储存的容量有限和对油井不能长时间连续监测的不足,研制了无线监测示功仪。该示功仪将载荷和位移传感器、无线传输以及太阳能供电等多种技术集于一体(1)采用加速度传感器,实现了光杆无线位移检测,解决了常规位移传感器寿命短、可靠性差的问题;(2)应用CC1000无线模块,实现了油井示功图短距离数据无线交换,屏弃了常规仪器电缆通讯的方式;(3)通过增加仪器储存容量和移植USB接口,解决了常规示功仪储存数据量少的问题,极大地方便了数据交换;(4)将太阳能电池与充电电池有机结合,圆满解决了仪器供电问题。     

A Revised Methodology for Research on Metamemory: Pre-judgment Recall And Monitoring (PRAM).

A revised methodology is described for research on metacognitive monitoring, especially judgments of learning (JOLs), to investigate psychological processing that previously has been only hypothetical and unobservable. During data collection a new stage of recall occurs just prior to the JOL, so that during data analysis the items can be partitioned into subcategories to measure the degree of JOL accuracy in ways that are more analytic than was previously possible. A weighted-average combinatorial rule allows the component measures of JOL accuracy to be combined into the usual overall measure of metacognitive accuracy. An example using the revised methodology offers a new explanation for the delayed-JOL effect, in which delayed JOLs are more accurate than immediate JOLs for predicting recall. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Process monitoring using auto-associative,feed-forward artificial neural networks

The potential of using artificially simulated neural networks as intelligent, adaptive process-monitoring devices is discussed. The investigation is considered as a method for automatic, intelligent exception reporting for quality control applications. The technique is also compared with the conventional statistical approaches of principal component analysis and Kohonen's feature map. The applications of the technique in aerospace and manufacturing environments are presented and a possible extension of the method to incorporate a diagnostic function is discussed.Seconded from Cheltenham and Gloucester College of Higher Education as a Royal Society/SERC Research Fellow at Smith's Industries Aerospace and Defence Systems, Bishop's Cleeve, Cheltenham, UK.     

新一代厂站计算机监控系统软件的研制

本介绍一种新的基于开放系统环境的计算机监控系统软件的开发研究及其设计目标、实现方法及应用情况。     

A new monitoring system for piping systems in fossil fired power plants

A CEC-funded project has been performed to tackle the problem of producing an advanced Life Monitoring System (LMS) which would calculate the creep and fatigue damage experienced by high temperature pipework components. Four areas were identified where existing Life Monitoring System technology could be improved:

1. 1. the inclusion of creep relaxation

2. 2. the inclusion of external loads on components

3. 3. a more accurate method of calculating thermal stresses due to temperature transients

4. 4. the inclusion of high cycle fatigue terms.

The creep relaxation problem was solved using stress reduction factors in an analytical in-elastic stress calculation. The stress reduction factors were produced for a number of common geometries and materials by means of non-linear finite element analysis. External loads were catered for by producing influence coefficients from in-elastic analysis of the particular piping system and using them to calculate bending moments at critical positions on the pipework from load and displacement measurements made at the convenient points at the pipework. The thermal stress problem was solved by producing a completely new solution based on Green's Function and Fast Fourier transforms. This allowed the thermal stress in a complex component to be calculated from simple non-intrusive thermocouple measurements made on the outside of the component. The high-cycle fatigue problem was dealt with precalculating the fatigue damage associated with standard transients and adding this damage to cumulative total when a transient occurred.

The site testing provided good practical experience and showed up problems which would not otherwise have been detected.