【摘要】：控制閥作為流體過(guò)程控制最重要的元器件之一,它的安全運(yùn)行,健康狀況直接決定了現(xiàn)場(chǎng)應(yīng)用裝置的可靠性。隨著智能儀表的發(fā)展,各種現(xiàn)場(chǎng)總線技術(shù)的應(yīng)用,在國(guó)內(nèi),采用HART、FF等協(xié)議的定位器的普及,使得智能在線閥門診斷技術(shù)的大規(guī)模普及得以成為可能。在線診斷具有不干擾現(xiàn)場(chǎng)運(yùn)行,自動(dòng)生成閥門體檢報(bào)告等特點(diǎn),正在越來(lái)越多的現(xiàn)場(chǎng)使用。本文主要探討了利用智能數(shù)字定位器以及大數(shù)據(jù)分析的數(shù)字技術(shù),開展"閥門在線巡檢,精準(zhǔn)維修",在分析業(yè)界閥門診斷的各種方式基礎(chǔ)上,結(jié)合閥門的檢維修,并以GE最新推出的基于云計(jì)算平臺(tái)Predix的系統(tǒng)Valve Aware為例,詳細(xì)介紹了這一在線診斷的原理和前景。利用這一技術(shù),可以做出準(zhǔn)確的預(yù)防性診斷,為閥門保養(yǎng)維修提供針對(duì)性的方案,從而減少工廠應(yīng)用裝置的停機(jī)時(shí)間,降低維修成本,為工廠帶來(lái)極大的效益。
[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.
【作者單位】： GE通用電氣流體技術(shù)過(guò)程部;
【分類號(hào)】：TH134

【相似文獻(xiàn)】

相關(guān)期刊論文 前3條

1 胡明江;楊師斌;;應(yīng)用回聲狀態(tài)網(wǎng)絡(luò)的EGR閥電路在線診斷[J];振動(dòng).測(cè)試與診斷;2012年02期

2 崔立,王黎欽,古樂(lè),鄭德志;滾動(dòng)軸承疲勞故障在線診斷的研究[J];機(jī)械研究與應(yīng)用;2005年03期

3 ;[J];;年期

相關(guān)碩士學(xué)位論文 前1條

1 任曉丹;基于ARM+DSP架構(gòu)的準(zhǔn)在線診斷系統(tǒng)硬件平臺(tái)研究[D];鄭州大學(xué);2011年

，

本文編號(hào)：2389929