基于internet技术的远程设备状态监测关键技术的研究
发布时间:2018-05-23 19:50
本文选题:Internet + 远程监测 ; 参考:《电子科技大学》2014年硕士论文
【摘要】:网络在人们的生活中发挥着重要作用,随着其飞速发展,网络技术已经融入各行各业,远程监测与网络相结合已经成为必然趋势,在工业、医疗、交通等方面都有重要意义;现代工业的发展逐步走向自动化,生产现场设备的状态监测对于生产的顺利进行有着重要意义,如果没有提前发现设备的状态异常导致损坏,将使生产停止并产生高额的维修费用;同时,随着设备监测系统的规模越来越大,这就造成设备管理困难,设备驱动程序多样化,系统耦合度等问题,这在监测系统的开发过程中是急需解决的问题。本文研究基于网络技术的远程监测系统,首先介绍远程监测系统的技术发展以及其原理,探讨网络技术在远程监测中的应用,从三个方面进行软件的开发方式阐述,同时就远程监测系统存在的问题进行简要的分析,为下文的写作做铺垫;继而对虚拟仪器从概念以及构成等方面进行整体的描述,最后简要分析了虚拟仪器软件开发平台Lab VIEW;第三部分主要是对远程设备状态监测系统的硬件设计,以化工厂机泵群的旋转设备监测为应用,设计系统硬件结构及硬件中具体涉及的模块,包括传感器的选型、信号调理电路的设计、数据采集卡的选型及设备组装方式等的设计,考虑到设备应用环境的复杂性,采用多种措施提高系统稳定性,来保证系统精度和稳定性;第四部分是对远程设备状态监测系统的软件进行设计,基于虚拟仪器开发平台LabVIEW对系统的每个模块进行设计,包括数据采集模块、文件I/O模块、数据处理模块、历史数据查询模块和网络传输模块,并对其中涉及的关键技术进行分析。本设计目的在于实现对化工厂旋转机械振动状态的监测,通过虚拟仪器技术与网络技术相结合,实现了监测系统的网络化,从而保障化工厂机械设备的安全生产,方便了企业管理人员和技术人员对生产现场情况的掌握,这对于产品质量的提高、设备维护成本的降低、技术人员的工作强度降低都有很大帮助,可以促进企业的可持续发展。
[Abstract]:Network is playing an important role in people's life. With its rapid development, network technology has been integrated into various industries. The combination of remote monitoring and network has become an inevitable trend, in industry, medical treatment, transportation and other aspects have important significance; The development of modern industry is gradually moving towards automation. The condition monitoring of production site equipment is of great significance for the smooth progress of production. If the abnormal condition of the equipment is not detected in advance, it will cause damage. Production will be halted and high maintenance costs will be incurred; at the same time, as the scale of the equipment monitoring system becomes larger and larger, this will lead to difficulties in equipment management, diversification of device drivers, system coupling, etc. This is an urgent problem in the development of monitoring system. This paper studies the remote monitoring system based on the network technology. Firstly, it introduces the technology development and its principle of the remote monitoring system, discusses the application of the network technology in the remote monitoring, and expounds the way of software development from three aspects. At the same time, the problems existing in the remote monitoring system are briefly analyzed to pave the way for the following writing; then, the concept and composition of the virtual instrument are described as a whole. Finally, the virtual instrument software development platform Lab view is briefly analyzed. The third part is the hardware design of the remote equipment condition monitoring system, which is applied to the rotary equipment monitoring of the machinery and pump group in the chemical plant. The hardware structure of the system and the modules involved in the hardware design, including the selection of sensor, the design of signal conditioning circuit, the selection of data acquisition card and the design of equipment assembly, etc., considering the complexity of equipment application environment, etc. Various measures are adopted to improve the stability of the system to ensure the system accuracy and stability. The fourth part is to design the software of the remote equipment condition monitoring system. Each module of the system is designed based on the virtual instrument development platform LabVIEW. It includes data acquisition module, file I / O module, data processing module, historical data query module and network transmission module. The purpose of this design is to realize the monitoring of the vibration state of the rotary machinery in the chemical plant. By combining the virtual instrument technology with the network technology, the network monitoring system is realized, thus ensuring the safe production of the machinery and equipment in the chemical plant. It is convenient for enterprise managers and technicians to master the situation of production site, which is of great help to the improvement of product quality, the reduction of equipment maintenance cost and the decrease of technical staff's working intensity, and can promote the sustainable development of enterprises.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP393.06
【参考文献】
中国硕士学位论文全文数据库 前1条
1 郑小宁;基于因特网的远程控制技术研究[D];西北工业大学;2002年
,本文编号:1926103
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