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。     

MicroPort: A general simulation platform for seaport container terminals

Seaport container terminals are essential nodes in sea cargo transportation networks. As such, the operational efficiency of container terminals in handling containers passing through them plays a critical role in a globalized world economy. Many models and algorithms have been developed to address various decision problems in container terminals to help improve operational efficiency. These decision support tools are usually used separately for specific purposes. However, the problems they are trying to tackle are often interrelated. Therefore, in this regard, an evaluation tool which can capture as many operational conditions as possible for different decision problems is necessary. This paper introduces a general simulation platform, named MicroPort, which aims to provide an integrated and flexible modeling system for evaluating the operational capability and efficiency of different designs of seaport container terminals. The software structure of MicroPort comprises three programming layers: (1) the Functions layer; (2) the Applications layer; and (3) the Extensions layer. Different layers are bound by Application Programming Interfaces (APIs). Basic functions built in the Functions layer support the Applications layer in which major operation processes can be modeled by an agent-based method. External modules and decision support tools in the Extensions layer then use APIs to adjust the system to produce suitable simulation models for specific purposes.     

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。     

Human DDX3X Unwinds Japanese Encephalitis and Zika Viral 5′ Terminal Regions

Flavivirus genus includes many deadly viruses such as the Japanese encephalitis virus (JEV) and Zika virus (ZIKV). The 5′ terminal regions (TR) of flaviviruses interact with human proteins and such interactions are critical for viral replication. One of the human proteins identified to interact with the 5′ TR of JEV is the DEAD-box helicase, DDX3X. In this study, we in vitro transcribed the 5′ TR of JEV and demonstrated its direct interaction with recombinant DDX3X (K_d of 1.66 ± 0.21 µM) using microscale thermophoresis (MST). Due to the proposed structural similarities of 5′ and 3′ TRs of flaviviruses, we investigated if the ZIKV 5′ TR could also interact with human DDX3X. Our MST studies suggested that DDX3X recognizes ZIKV 5′ TR with a K_d of 7.05 ± 0.75 µM. Next, we performed helicase assays that suggested that the binding of DDX3X leads to the unwinding of JEV and ZIKV 5′ TRs. Overall, our data indicate, for the first time, that DDX3X can directly bind and unwind in vitro transcribed flaviviral TRs. In summary, our work indicates that DDX3X could be further explored as a therapeutic target to inhibit Flaviviral replication     

面向工业平稳/非平稳复杂系统的在线故障监测技术

针对复杂系统中关键性能指标（KPI）相关故障检测方法检测精度低的问题,提出基于双层改进潜结构投影（DL-IPLS）的KPI相关故障检测方法. 利用协整分析和主元分析建立底层模型,对非平稳和平稳变量进行特征提取. 将提取的信息进行融合,建立改进潜结构投影的上层模型,根据融合信息对KPI的贡献进行空间分解. 在2个正交子空间中设计统计量,实现KPI相关故障的在线监测. 田纳西-伊斯曼过程和青霉素发酵过程的仿真结果表明,在面向工业平稳和非平稳复杂工业系统检测时,所提方法有效提高了KPI相关故障的检测率,降低了KPI无关故障的误报率.     

基于改进YOLOv3的运动目标分类检测算法研究

提出一种基于改进YOLOv3算法的一类运动目标检测算法. 为进一步提高YOLOv3的检测精度,采用基于DIoU优化的边界框回归损失函数进行计算; 优化非极大值抑制,有效减少了目标框重叠的现象,提高检测精度; 针对运动目标检测,提出一种基于目标框多中心点位移的检测算法. 经UA-DETRAC数据集上的实验表明,改进后的算法在提高检测精度的同时保证了较快的速度,准确率和召回率相比原始YOLOv3分别提高了 8.07%和3.87%,对运动目标的检测速度可达20 fps/s,可满足实时检测的要求.     

10kV运行配电线路雷电感应过电压波形在线监测

雷电感应过电压是造成配电网故障的重要原因之一,针对雷电感应过电压波形特征不清晰的问题,作者采用过电压在线监测系统,对实际运行的佛山10kV富油甲线雷电感应过电压波形进行观测,根据波形特征给出了过电压的波形参数。结果表明,配电线路各相感应电压叠加在运行电压波形上,不同相上感应过电压与对应的回击电流在幅度、时间间隔和波形上都存在同时性,该线路观测的雷电感应电压波形表现为波头时间短、后续发生双极性高频振荡并逐渐转变为低频振荡的波形特点,首次回击感应过电压幅值大于后续回击过电压幅值,首次回击过电压的波头时间比后续过电压长,观测结果对于配电线路雷电保护具有重要意义。