当前位置:主页 > 科技论文 > 机电工程论文 >

工业4.0时代下利用数字技术的阀门在线诊断趋势与实现

发布时间:2018-12-23 11:33
【摘要】:控制阀作为流体过程控制最重要的元器件之一,它的安全运行,健康状况直接决定了现场应用装置的可靠性。随着智能仪表的发展,各种现场总线技术的应用,在国内,采用HART、FF等协议的定位器的普及,使得智能在线阀门诊断技术的大规模普及得以成为可能。在线诊断具有不干扰现场运行,自动生成阀门体检报告等特点,正在越来越多的现场使用。本文主要探讨了利用智能数字定位器以及大数据分析的数字技术,开展"阀门在线巡检,精准维修",在分析业界阀门诊断的各种方式基础上,结合阀门的检维修,并以GE最新推出的基于云计算平台Predix的系统Valve Aware为例,详细介绍了这一在线诊断的原理和前景。利用这一技术,可以做出准确的预防性诊断,为阀门保养维修提供针对性的方案,从而减少工厂应用装置的停机时间,降低维修成本,为工厂带来极大的效益。
[Abstract]:Control valve as one of the most important components of fluid process control, its safe operation and health condition directly determine the reliability of the field application device. With the development of intelligent instruments and the application of various fieldbus technologies, the popularization of locators using HART,FF and other protocols in China makes the large-scale popularization of intelligent on-line valve diagnosis technology possible. On-line diagnosis has the characteristics of no interference with field operation, automatic generation of valve physical examination report and so on, and is being used more and more in the field. This paper mainly discusses the use of intelligent digital locator and the digital technology analyzed by big data to carry out "On-line Inspection and accurate maintenance of Valves". On the basis of analyzing various ways of valve diagnosis in the industry, combined with valve inspection and maintenance, The principle and prospect of this online diagnosis are introduced in detail by taking Valve Aware, a system based on cloud computing platform Predix, which is newly launched by GE, as an example. By using this technology, accurate preventive diagnosis can be made, and a targeted scheme for valve maintenance and repair can be provided, thus reducing the downtime of the plant application device, reducing the maintenance cost, and bringing great benefits to the factory.
【作者单位】: GE通用电气流体技术过程部;
【分类号】:TH134

【相似文献】

相关期刊论文 前3条

1 胡明江;杨师斌;;应用回声状态网络的EGR阀电路在线诊断[J];振动.测试与诊断;2012年02期

2 崔立,王黎钦,古乐,郑德志;滚动轴承疲劳故障在线诊断的研究[J];机械研究与应用;2005年03期

3 ;[J];;年期

相关硕士学位论文 前1条

1 任晓丹;基于ARM+DSP架构的准在线诊断系统硬件平台研究[D];郑州大学;2011年



本文编号:2389929

资料下载
论文发表

本文链接:https://www.wllwen.com/jixiegongchenglunwen/2389929.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户316d6***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com