Research on Key Techniques of Condition Monitoring and Fault Diagnosing Systems of Machine Groups

This paper describes the development of the condition monitoring and fault diagnosing system of a group of rotating machinery. The data management is performed by means of double redundant data bases stored simultaneously in both the analyzing server and monitoring client. In this way, high reliability of the storage of data is guaranteed. Condensation of trend data releases much space resource of the hard disk. Diagnosing strategies orientated to different typical faults of rotating machinery are developed and incorporated into the system. Experimental verification shows that the system is suitable and effective for condition monitoring and fault diagnosing for a rotating machine group.     

An Embedded Condition Monitoring and Fault Diagnosis System for Rotary Machines

An intelligent machine is the earnest aspiration of people. From the point of view to construct an intelligent machine with self-monitoring and self-diagnosis abilities, the technology for realizing an internet oriented embedded intelligent condition monitoring and fault diagnosis system for the rotating machine with remote monitoring, diagnosis, maintenance and upgrading functions is introduced systematically. Based on the DSP （ Digital Signal Processor） and embedded microcomputer, the system can measure and store the machine work status in real time, such as the rotating speed and vibration, etc. In the system, the DSP chip is used to do the fault signal processing and feature extraction, and the embedded microcomputer with a customized Linux operation system is used to realize the internet oriented remote software upgrading and system maintenance. Embedded fault diagnosis software based on mobile agent technology is also designed in the system, which can interconnect with the remote fault diagnosis center to realize the collaborative diagnosis. The embedded condition monitoring and fault diagnosis technology proposed in this paper will effectively improve the intelligence degree of the fault diagnosis system.     

道路温度场的远程监测系统设计

针对传统道路温度场监测设备存取数据不便、运行维护成本高、不适于野外长期工作的缺点,设计了道路温度场远程监控系统,论述了系统的整体结构,完成了远程终端软、硬件的低功耗设计以及可靠传输软件的设计,实现了对温度场的长期、可靠监控.实际运行情况表明,系统工作高效稳定、数据远程传输可靠、运行成本低,适于长期野外无人监测.     

1.2m缩尺实验盾构机械结构与液压系统设计

 为研究盾构掘进时各物理参数之间的相互影响,进而确定相适应的工作参数,设计开发了全断面盾构掘进机综合模拟试验台．其中,用于模拟真实盾构掘进的缩尺盾构主要由刀盘系统、推进系统、螺旋输送机系统等组成．根据实验的需要,设计了缩尺盾构的机械结构,详细说明了结构设计的思想以及缩尺盾构的工作过程．设计了缩尺盾构的液压系统,详细说明了液压系统的工作原理、功能特点和选型计算．利用AMESim软件对刀盘液压系统和推进液压系统进行仿真分析.仿真结果显示,刀盘转速和缩尺盾构的推进速度都可以实时控制,所设计的液压系统能够满足实验需要.     

On-line Condition Monitoring and Diagnostic Network System for Rotating Machine Set

1IntroductionThemachineryinfactoryisalwaysthekeyequipment,soOn-lineConditionMonitoringandDiagnosticSystemCMDS)isveryimportant.Usingthissy000000stem,engineerscanknowtherunningconditionclearlyandanalyzethepossiblefaultswhenthesemachinesetscannotrunnormally.Computerscience,numericsignalprocessing,sensorandnetworktechnologyarethekeytechnologiesofnetworkbaseddistributedon-lineCMDS,anddevelopmentofthesetechnologiesmakeCMDSplayamoreimportantroleinindustry.NetworkstructureandfunctionofCMDSare…     

输油管道中微弱应力波信号检测的研究

研究了盗油实时监测报警系统．此系统可及时发现盗油对输油管道的破坏,避免管道泄漏及原油被窃取．研究应用应力波检测的原理对人为破坏管道进行监测．采用主站基站主从式无线通讯的方式．进行数据的传输以及盗油的报警定位．根据现场测试的数倨．选择应力波检测模式,并分析了应力波信号随检测距离的时频特性变化．系统对应力波信号的检测距离达到了1km,取得了较好的检测效果．降低了系统造价．     

破碎设备网络化在线状态监测与故障诊断系统

应用虚拟仪器技术进行破碎设备在线监测与故障诊断,并用网络技术实现数据的网络传输和远程监测.利用NI公司提供的G web Server实现系统监测显示面板的网页发布,利用Datasocket技术快速实现监测数据的网络传输.LabVIEW和网络技术的结合可以方便客户获取检测图像和检测结果.本系统在对破碎设备主要性能参数（如破碎机水平轴扭矩,振动,速度,间隙,温度,压力,流量等）的在线检测和远程故障诊断上均取得了较好的效果.     

Production line 3D visualization monitoring system design based on OpenGL

New production line management technologies are required and adopted recently with the development of modern manufacturing industry. In this study, a production line three-dimensional (3D) visualization monitoring system based on OpenGL modeling, open database connectivity (ODBC), and database management technology is established on a VC++6.0 platform to satisfy effective production. A client/server model is adopted in the system, and data on processing information, interactive operation, and failure process are stored in the server side database. A client reads the workpiece process information from the server, and the machining process of every workpiece is visually represented in the form of 3D visualization. Production line 3D visualization provides production capacity simulation to optimize the parameter settings. When compared with the analysis results of production line capacity, the key parameters possess the same optimal values, and this proves the accuracy of production line 3D visualization monitoring system. The system provides effective data support for production line monitoring and management in enterprises. The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-018-0217-x     

Alternate video broadcasting scheme for popular videos

A video segment broadcasting scheme can reduce server and network bandwidth by periodically broadcasting popular videos that are most likely demanded by clients, instead of responding to each client requests. When video segments broadcast on a channel, in general, alternate broadcasting schemes periodically transmit all segments on a given channel with the same transmission period, which reduces the transmission efficiency of stream channels and requires sufficient client storage space for video segments broadcast on simultaneous channels. The author proposed a novel alternate video broadcast scheme, a delayed buffering broadcast that requires lower server bandwidth and client buffer space compared with those of previous approaches. In addition, the study provides an analytical analysis of the scheme, including a lower bound on the video segment transmission rate for any alternate broadcast scheme. It also derives an upper bound on its storage requirements from the client side. Using the performance study of the proposed scheme and simulation results, the author establishes that the proposed scheme uses fewer server channels and storage resources than previously reported alternate video broadcast schemes for any given client waiting time.     

基于Web的工业机器人3D虚拟动态监控系统

针对由Co De Sys Soft Motion控制的六自由度工业机器人,设计了一种基于OPC标准协议和Web技术的工业机器人3D(三维)虚拟动态监控系统。基于.NET平台的Windows窗体应用程序框架和My SQL数据库,采用C#语言设计了工业机器人监控客户端程序;通过Co De Sys OPC服务器配置工业机器人各关节角和运动状态为数据项,采用Web GL技术和three.js框架建立了六自由度工业机器人Web3D模型,基于机器人运动学设计了工业机器人3D动态网页。实现了工业机器人关节角和状态数据传输和存储,以及基于Web的工业机器人3D虚拟动态监控功能。     

基于互联网WWW服务的气动仿真及选型系统

 为了能够方便快捷地进行气动系统的选型和设计，将气动技术和网络技术相结合，在互联网上实现了基于www 服务的气动系统单个元件选型和整个系统仿真的功能． 该系统由ASP和sQI 服务器构成，采用客户端和服务端共同仿真的方式实现．系统升级和更新只在服务器上进行，实现一元化管理．系统提供服务后可以使工作人员在任何地方只要连上互联网就能够对气动系统进行选型和仿真．     

EA-RDSP: Energy Aware Rapidly Deployable Wireless Ad hoc System for Post Disaster Management

In post disaster scenarios such as war zones floods and earthquakes, the cellular communication infrastructure can be lost or severely damaged. In such emergency situations, remaining in contact with other rescue response teams in order to provide inputs for both headquarters and disaster survivors becomes very necessary. Therefore, in this research work, a design, implementation and evaluation of energy aware rapidly deployable system named EA-RDSP is proposed. The proposed research work assists the early rescue workers and victims to transmit their location information towards the remotely located servers. In EA-RDSP, two algorithms are proposed i.e., Hop count Assignment (HCA) algorithm and Maximum Neighbor Selection (MNS) algorithm. The EA-RDSP contains three types of nodes; the client node sends information about casualty in the disaster area to the server, the relay nodes transmit this information from client node to server nodes via multi-hop transmission, the server node receives messages sent by client node to alert rescue teams. The EAM-RDSP contains three types of nodes; the client node sends information about casualty in the disaster area to the server, the relay nodes transmit this information from client node to server nodes via multi-hop transmission, the server node receives messages sent by client node to alert rescue teams. The proposed EA-RDSP scheme is simulated using NS-2 simulator and its performance is compared with existing scheme in terms of end-to-end delay, message delivery ratio, network overhead and energy consumption.     

基于ARM和GPRS远程数据传输的光纤智能结构监控系统

提出并设计了一种基于Advanced RISC Machines（ARM）和General Packet Radio Service（GPRS）的远程数据传输系统,该系统用于光纤智能结构的健康监控。系统包括光源、光纤智能结构、光电检测电路、远程终端单元（RTU）、GPRS网络、Internet和监控中心服务器,其中终端单元由ARM微控制器和GPRS无线通信模块组成。RTU与监控中心之间是通过GPRS网络和Internet来进行数据交换的,在监控中心收到的数据中包含了复合材料智能结构的健康状态信息,通过对数据的处理就能判断材料结构的健康状态,从而达到对智能材料结构的健康状态进行远程监控的目的,同时还进行了相应的承载试验以及损伤定位研究。试验结果表明：该监控系统实现了对光纤智能结构的无线远程监控和损伤定位,且性能稳定可靠,为复合材料结构的健康状态监控提供了一种新方法。     

Federated Feature Concatenate Method for Heterogeneous Computing in Federated Learning

Federated learning is an emerging machine learning technique that enables clients to collaboratively train a deep learning model without uploading raw data to the aggregation server. Each client may be equipped with different computing resources for model training. The client equipped with a lower computing capability requires more time for model training, resulting in a prolonged training time in federated learning. Moreover, it may fail to train the entire model because of the out-of-memory issue. This study aims to tackle these problems and propose the federated feature concatenate (FedFC) method for federated learning considering heterogeneous clients. FedFC leverages the model splitting and feature concatenate for offloading a portion of the training loads from clients to the aggregation server. Each client in FedFC can collaboratively train a model with different cutting layers. Therefore, the specific features learned in the deeper layer of the server-side model are more identical for the data class classification. Accordingly, FedFC can reduce the computation loading for the resource-constrained client and accelerate the convergence time. The performance effectiveness is verified by considering different dataset scenarios, such as data and class imbalance for the participant clients in the experiments. The performance impacts of different cutting layers are evaluated during the model training. The experimental results show that the co-adapted features have a critical impact on the adequate classification of the deep learning model. Overall, FedFC not only shortens the convergence time, but also improves the best accuracy by up to 5.9% and 14.5% when compared to conventional federated learning and splitfed, respectively. In conclusion, the proposed approach is feasible and effective for heterogeneous clients in federated learning.     

车间生产监控系统的研制

本文针对生产车间具体情况提出了基于客户/服务器Client/Server,(简称C/S)结构的分布式车间监控系统,通过对车间生产状况和车间生产环境的实时动态监控,保障车间内物流畅通,信息共享,能源和资源合理利用,最终实现均衡生产、库存最小、提高工效。     

基于客户机/服务器模式的航空产品失效案例共享系统

在对国内外航空产品失效案例进行收集和整理的基础上,设计和开发了基于客户机/服务器(C/S)体系结构的航空产品失效案例共享系统.该系统由客户端程序、应用服务器程序以及后台数据库三部分组成,采用SQL Server 2000作为数据库管理系统,采用VC++作为客户端程序和应用服务器程序的开发工具.对系统体系结构、功能模块、...     

基于虚拟技术的产品包装设计系统研究

研究了产品包装设计的具体流程,分析了虚拟技术的特点和优势,提出了基于虚拟技术的包装设计体系结构.系统由客户层、中间层和数据库层三部分构成,在设计者与客户之间以及不同设计者之间构建了协作平台,保证适时沟通和信息反馈.通过系统提供的协同控制机制和虚拟设计工具,产品包装设计的各个步骤能够高效有序地进行,为产品赢得市场提供了保障.     

Secure Internet access to gateway using secure socket layer

The Internet is the most widely used medium to access remote sites. Data sent and received using transmission control protocol/Internet Protocol (TCP/IP) is in plain text format and can be accessed and tampered with quite easily and, hence, provides no data security. This is the case especially if the data are confidential and access to the gateway server has to be strictly controlled, although there are several protocols and mechanisms that have been thoroughly scrutinized to tackle these problems. This paper also intends to provide a model that uses secure socket layer (SSL) to provide a secure channel between client and gateway server. A smart card will be used for client authentication and encryption/decryption of the data.     

FMS中的DNC系统实时控制软件的设计与实现

为了使柔性制造系统(FMS)中的DNC系统的上位机能同时实时控制多台数控机床(CNC),在利用5层OSI网络协议模型分析FANUC DNC2协议原理的基础上,利用面向对象的程序设计方法进行了FMS中的DNC系统实时控制软件的设计,同时构建了其硬件结构,实现了该软件的开发。在上海交通大学CIMS中心的FANUC 16-MC机床的现场使用表明,所开发的软件运行可靠,使用方便。     

Semantic intrusion detection with multisensor data fusion using complex event processing

Complex Event Processing (CEP) is an emerging technology for processing and identifying patterns of interest from multiple streams of events in real/near real time. Sensor network-based security and surveillance is a topic of recent research where events generated from distributed sensors at an unpredictable rate need to be analysed for possible threats and respond in a timely manner. Traditional software architectures like client/server architecture where the interactions are pull-based (DBMS) do not target the efficient processing of streams of events in real time. CEP which is a push-based system can process streaming data to identify the intrusion patterns in near real time and respond to the threats. An Intrusion Detection System (IDS) based on single sensor may fail to give accurate identification of intrusion. Hence there is a need for multisensor based IDS. A multisensor-based IDS enables identification of the intrusion patterns semantically by correlating the events and context information provided by multiple sensors. JDL multisource data fusion model is a well-known research model first established by the Joint Directorate Laboratories. This paper proposes JDL fusion framework-based CEP for semantic intrusion detection. The events generated from heterogeneous sensors are collected, aggregated using logical and spatiotemporal relations to form complex events which model the intrusion patterns. The proposed system is implemented and the results show that the proposed system out performs the pull-based solutions in terms of detection accuracy and detection time.