矿用救生舱环境监控系统软件的研究

给出了矿用救生舱环境监控系统的组成,主要介绍了该系统软件的功能设计、总体架构及界面设计方案。该系统软件可实时显示各传感器的运行状态和检测数据、舱内气体余量、电源电量、照明灯状态、空气净化状态、自动控制状态、舱门状态等,人机交互界面友好,操作简便。该软件经长期连续运行实验,工作正常,达到了设计要求。     

工业远程监测系统中自组织网络结构研究与实现

针对工业远程监控系统覆盖地域广、监控对象的通讯环境差异大的问题,探讨了异构网络融合技术和自组织网络结构,提出了根据工业现场环境对监控系统的要求,采用多种通讯方式相结合、多种网络结构共存的方法组建工业远程监控网络;以供热管网远程监控系统为应用对象论证了方法的可行性,详细阐述了系统的自组织协议和软、硬件设计方案;该方案有效地利用了各种通讯方式的优点,避开了现场环境的限制,提高了系统的可靠性,降低了系统的建设、运行成本。     

航空机轮加载测控系统软件的设计与实现

鉴于航空机轮加载试验过程中,要求上位机测控软件能够即时向下位机下达控制命令并且能够实时采集下位机上传的大量现场数据,给出了一种基于DataSocket技术和OPC协议的实时网络通信方法;针对程序执行过程中常出现的响应阻塞问题,结合LabWin-dows/CVI的多线程机制论述了一种多任务并发执行的方法;经过反复测试试验,由此所构建的上位机软件响应性能良好,其网络通信传输速率快、实时性高。     

铁路信号电缆断线故障在线监测与定位方法研究

铁路信号电缆是保证列车安全运营的重要组成部分,其故障严重影响列车的安全运营;由于其经多个分线盒接线柱连接的敷设特点,存在中间接头过多,致使传统的电缆故障检测方法应用受到了极大的限制;为此,通过在电缆中间分线盒的备用芯线对接线柱中接入固定阻值的电阻,将备用芯线对形成闭合回路网络,然后在线监测其电阻阻值,利用回路阻值的变化来反映电缆状态,并以在线监测备用芯线对代替在用芯线对,进而在不影响正常列控信号传输的情况下实现了信号电缆的故障在线监测;经实际测试,有效地解决了铁路信号电缆断线故障的在线监测及定位。     

港口机车故障监测与诊断系统研究

针对港口机车运行现状,介绍了一种基于Visual Basic语言和Microsoft SQL Server2000数据库的机车故障监测与诊断系统的研究。该系统通过传感器采集数据信息,经预处理后,通过无线网络将整合数据传送给计算机,最后利用知识库对数据进行处理分析以及显示。该系统具有设计简单、操作方便、界面友好及可靠性好等特点。     

基于中间件技术的变电站温升在线监测预警系统设计

针对由于各种原因引发变电站发热方面的故障,设计了变电站温升在线监测预警系统,建立了基于中间件技术的变电站温升在线监测预警系统框架模型。采用组件式开发技术设计并实现了变电站温升在线监测预警系统,将系统的构成组件分为界面型组件及数据维护组件。组件式系统能够根据企业需求的变化实现快速重构,提高了信息系统的柔性。     

基于OpenLayers的矿场人员监控系统的研究与设计

矿区工作人员的人身安全问题和工作职责问题一直困扰着用工单位。有没有办法实时监控到矿工,又不用花费太高的成本呢?本文介绍了一种基于OpenLayers、Geoserver、J2EE的矿场人员监控的WebGIS应用的设计。     

AlF3贮仓料位计在线监控系统开发与应用

针对铝电解原材料中AlF3与Al2O3自动配料不准和难于观察及控制的现象，我厂开发应用了AlF3贮仓料位计，并与微机网络相连，实现了远程测量与在线监控，使AlF3配料更准确更均匀，电解质分子比更稳定，电解槽生产低耗高效。     

A demerit-fuzzy rating system,monitoring scheme and classification for manufacturing processes

For monitoring online manufacturing processes, the proportion of weights imposed on each type of product’s defects (nonconformities or demerits) has a profoundly effective impact on control charts’ performance. Apparently, the demerit-chart approach is superior than the widely-used c-chart scheme, because it allows us to place relative precise weights (real numbers) on defects according to their distinctly inferior degrees affecting the product quality so that the abnormal variations of processes can be literally exposed. However, in many applications, the seriousness of defects is evaluated partially or entirely by the inspectors’ perceptive judgement or knowledge, so with the precise-weight assignment, the demerit rating mechanism is considered to be somewhat constrained and subjective which inevitably leads to the targeted manufacturing process with limited and possibly biased information for online surveillance. To cope with the drawback, a demerit-fuzzy rating system and monitoring scheme is proposed in this paper. We first incorporate fuzzy weights (fuzzy numbers) to properly reflect the severity measures of defects which are categorized linguistically. Then, based on properties of fuzzy set theory and proposed approaches for fuzzy-number ranking, we develop the demerit-fuzzy charting scheme which is capable of discriminating process conditions into multi-intermittent statuses between in-control and out-of-control. This approach improves the traditional process control techniques with the binary-classification restraint for the process conditions. Finally, the proposed demerit-fuzzy rating system, monitoring scheme, and classification is elucidated by an application in garment industry to monitor textile-stitching nonconformities conditions.     

Effects of prior knowledge on learning from different compositions of representations in a mobile learning environment

Two experiments examined the effects of prior knowledge on learning from different compositions of multiple representations in a mobile learning environment on plant leaf morphology for primary school students. Experiment 1 compared the learning effects of a mobile learning environment presenting text and photos of plants on a tablet PC, either in combination with or without real plants in the physical environment. Results indicated that there were no interactions between prior knowledge and experimental condition. Students who learned with tablet PCs only outperformed students who additionally learned with real plants on a comprehension and an application test. In addition, high prior knowledge students outperformed low prior knowledge students on both tests. To investigate whether these effects were caused by the specific characteristics of the combination of photos of real plants and real plants, Experiment 2 compared the differential effects of prior knowledge on learning with the combination of texts, photos and real plants to a combination in which the photos were replaced by schematic hand drawings. Results indicated that both low and high prior knowledge students, who learned with the combination of texts, schematic hand drawings and real plants performed better on a comprehension and an application test. High prior knowledge students performed better on both tests. It is concluded that the number and type of representations used is critical for the effectiveness of mobile learning environments.