基于OPC UA的数据交互中间件的研究

针对基于DCOM配置的OPC数据集成方式存在配置复杂、需要更改防火墙或网闸设置等问题,设计了一种基于OPC UA的数据交互中间件,介绍了该中间件的结构及功能。该中间件实现了即插即用,只需通过简单配置,就可以跨越防火墙/网闸与OPC服务器进行安全的数据交互,可适用于大多数煤矿自动化子系统OPC服务器的数据集成。     

Design and realization of ad-hoc VoIP with embedded p-SIP server

In this paper we design and implement the pseudo session initiation protocol (p-SIP) server embedded in each mobile node to provide the ad-hoc voice over Internet protocol (VoIP) services. The implemented p-SIP server, being compatible with common VoIP user agents, integrates the standard SIP protocol with SIP presence to handle SIP signaling and discovery mechanism in the ad-hoc VoIP networks. The ad-hoc VoIP signaling and voice traffic performances are analyzed using E-model R rating value for up to six hops in the implemented test-bed. We also conduct the interference experiments to imitate the practical ad-hoc VoIP environment. The analyzed results demonstrate the realization of ad-hoc VoIP services by using p-SIP server.     

OPCUA技术及其在海上采油平台的应用

OPC UA是OPC基金会最新发布的用于工业自动化领域系统互连的规范.该文介绍了OPC UA的规格书组成,描述了OPC UA的传输机制与数据建模两部分基础组件.基于海上采油平台对仪控系统的实际要求,分析了OPC UA技术在海上采油平台的典型应用案例,并给出了具体的工程设计方案.同时,针对每个案例,总结了OPC UA相对于经典OPC规范的优势.     

OPC技术发展综述

OPC（OLE for Process Contr01）基金会成立以来,OPC技术的发展经历了三个阶段,即经典OPC、OPCXML-DA和OPCUA（OPCUnifiedArchitecture）。OPC技术从依赖微软的COM和DCOM技术到采用WebServices、XML和IrrrP等标准和协议,实现了从依赖单一平台到平台无关的跨越。为了保持OPC技术的兼容性,OPC基金会提供了从经典OPC到OPCUA的迁移策略。最后。展望了OPC技术的发展前景。     

基于SCE-UA/SVM的大坝变形预测模型研究

为提高大坝变形预测模型的精度,采用复合形交叉进化算法(SCE-UA),以均方根差最小为目标来优化支持向量机(SVM)的参数,从而建立了基于SCE-UA/SVM的大坝变形预测模型,并结合实际监测数据,对比分析了该模型与统计模型的优劣。结果表明,该模型能够提高大坝变形的预测精度,为大坝变形预测提供了一种新的思路。     

电子邮件中的路由问题

本文介绍了电子邮件系统中常见的路由算法问题，提出了我们的解决方案－自适应分布式路由算法，并给出了具体的实现方法。     

A method for predicting hobbing tool wear based on CNC real-time monitoring data and deep learning

Intelligent monitoring and diagnosis of tool status are of great significance for improving the manufacturing efficiency and accuracy of the workpiece. It is difficult to quickly and accurately predict the wear state of worm gear hob under different working conditions. This paper proposes a novel approach to predict hob wear status based on CNC real-time monitoring data. Based on the open platform communication unified architecture (OPC UA) technology and orthogonal test, the machine data of motor power, current, etc. related to tool wear are collected online in the worm gear machining process. And then, an improved deep belief network (DBN) is used to generate a tool wear model by training data. A growing DBN with transfer learning is introduced to automatically decide its best model structure, which can accelerate its learning process, improve training efficiency and model performance. The experiment results show that the proposed method can effectively predict hob wear status under multi-cutting conditions. To show the advantages of the proposed approach, the performance of the DBN is compared with the traditional back propagation neural network (BP) method in terms of the mean-squared error (MSE). The compared results show that this tool wear prediction method has better prediction accuracy than the traditional BP method during worm gear hobbing.     

华为UA5500设备VoIP语音故障的处理思路及方法

详细归纳和说明了处理UA5000备承载VoIP语音业务故障的注意事项及流程,介绍了对于常见故障,如话机无馈电、话音质量低、摘机无音或忙音、通话不正常、主叫号码无法显示、MG接口故障等的处理思路和方法.     

NGN网络测试仪中V5UA及V5.2协议解码的实现

简要介绍了V5UA和V5.2的基本概念,功能,以及它们在NGN中的组网应用方式,并在深入分析V5UA和V5.2消息结构的基础上,实现NGN网络测试仪的VSUA协议的解码、上层协议数据提取、以及V5.2的解码方法.     

[设备健康管理]基于机床信息的加工过程刀具磨损状态在线监测

为实现刀具磨损状态的在线监测,提高监测系统的实用性,提出一种基于机床信息的加工过程刀具磨损状态在线监测方法。采用OPC UA通信技术在线采集与存储数控机床信息,得到与磨损相关的机床内部过程信息,并基于这类信息与相应的刀具磨损信息,利用卷积神经网络建立了刀具磨损状态识别模型。应用案例证明了该方法的监测性能,与其他传统监测方法相比,该方法更适用于实际的生产加工。