本文選題：光纖光柵傳感網(wǎng) + 機械裝備狀態(tài)監(jiān)測　； 參考：《武漢理工大學》2014年博士論文

【摘要】：重大機械裝備運行的可靠性和穩(wěn)定性直接影響國民經(jīng)濟發(fā)展和國防建設能力，一旦發(fā)生故障，將引起重大經(jīng)濟損失和嚴重后果。隨著現(xiàn)代工業(yè)的迅速發(fā)展以及機械裝備的高速、高精和高自動化發(fā)展，機械系統(tǒng)工作狀態(tài)呈現(xiàn)出多維、耦合、時變、非線性的特點，因此對其運行狀態(tài)動態(tài)監(jiān)測提出了更高要求。傳統(tǒng)電測傳感器一般由于存在抗干擾能力差、環(huán)境適應性弱、體積質量大、關鍵部位難以部署等缺點，從而難以滿足機械裝備長期準確安全監(jiān)測的需要。無線傳感網(wǎng)由于其易受電磁干擾，傳輸能力與節(jié)點能量有限，安全性無法保證等缺點，也難以滿足多點、多場、分布式的大型裝備狀態(tài)監(jiān)測的要求。光纖光柵（FiberBragg Grating，F(xiàn)BG）傳感器及其傳感網(wǎng)以其非電傳感、抗電磁干擾、分布式組網(wǎng)、動態(tài)多場、尺寸小、壽命長等優(yōu)點，特別是對于經(jīng)常處于多場耦合、環(huán)境復雜、狀態(tài)多變等惡劣環(huán)境下的重大機械裝備運行狀態(tài)長期監(jiān)測具有重要意義。 本論文以重大機械裝備為應用對象，以裝備運行狀態(tài)健康監(jiān)測為目標，以FBG傳感網(wǎng)為傳感源，重點以在不同網(wǎng)絡環(huán)境下對構建面向機械裝備狀態(tài)監(jiān)測的FBG傳感網(wǎng)系統(tǒng)所面臨的新要求、新技術、新服務為研究內容，旨在實現(xiàn)機械裝備運行狀態(tài)全面感知、海量傳感信息實時傳輸、深度利用、感知資源充分共享的FBG傳感網(wǎng)服務化管理平臺。本研究工作的研究路線是：根據(jù)FBG傳感的智能感知網(wǎng)絡總體模型與實現(xiàn)目標，從傳感源出發(fā)，研究大容量FBG傳感網(wǎng)組網(wǎng)模型與尋址方法，滿足裝備狀態(tài)全面監(jiān)測的需要；對部署有多個傳感節(jié)點的單臺裝備以及廣域環(huán)境下的裝備集群，解決不同工作場景下FBG傳感網(wǎng)海量傳感信息實時分布式傳輸、存儲、處理及與互聯(lián)網(wǎng)互聯(lián)互通的問題，形成基于光纖傳感的物聯(lián)網(wǎng)；并進一步探索在網(wǎng)絡化服務型制造模式下對機械裝備狀態(tài)監(jiān)測與維護管理的應用；同時研究基于FBG傳感網(wǎng)裝備狀態(tài)監(jiān)測的服務發(fā)布與組合機制，以屏蔽資源的異構性、系統(tǒng)的多樣性和地理的分布性，更大程度充分利用傳感資源。通過對上述技術的綜合利用，實現(xiàn)基于FBG傳感網(wǎng)的大型裝備狀態(tài)監(jiān)測系統(tǒng)與廣域環(huán)境下的服務管理平臺。本論文的主要研究工作如下： （1）基于FBG傳感的智能感知網(wǎng)絡模型及異構網(wǎng)互聯(lián)互通方法研究。 針對機械裝備狀態(tài)監(jiān)測的FBG傳感網(wǎng)相關理論與關鍵技術，首先從總體上構建基于FBG傳感的智能感知網(wǎng)絡模型，描述了不同F(xiàn)BG傳感網(wǎng)環(huán)境下的應用對象與關鍵問題，為全文的研究提供整體架構。同時，從宏觀上研究了FBG傳感網(wǎng)與其它網(wǎng)絡的互聯(lián)互通模型，特別是針對FBG傳感網(wǎng)與互聯(lián)網(wǎng)的接入互聯(lián)形成基于FBG傳感的物聯(lián)網(wǎng)的問題，從應用層信息映射角度提出了FBG傳感網(wǎng)與互聯(lián)網(wǎng)的互聯(lián)互通模型，實現(xiàn)了互聯(lián)網(wǎng)環(huán)境下裝備狀態(tài)監(jiān)測的FBG傳感網(wǎng)的使用，為FBG傳感網(wǎng)傳感信息的訪問、存儲、分析、挖掘與共享奠定基礎。 （2）FBG傳感網(wǎng)大容量組網(wǎng)與尋址定位方法研究。 針對FBG傳感網(wǎng)傳統(tǒng)組網(wǎng)方法傳感節(jié)點數(shù)量少，無法滿足重大機械裝備運行狀態(tài)實時監(jiān)測對FBG傳感網(wǎng)大容量要求的問題，以研究有限光源帶寬和解調系統(tǒng)調諧范圍下滿足運行狀態(tài)全面感知需求的大容量、分布式FBG傳感網(wǎng)為目標，構建了基于新型編碼式FBG與多種復用技術相結合的混合組網(wǎng)方法并提出了適合多種復雜傳感環(huán)境下編碼式FBG傳感網(wǎng)的高精度尋址算法，改進了傳統(tǒng)方法在波長變化量重合時嚴重失效的問題。實驗結果表明編碼式FBG傳感網(wǎng)的傳感節(jié)點容量能夠大幅提升，大容量傳感節(jié)點在多種復雜工況環(huán)境下都能夠準確尋址定位。為機械裝備運行狀態(tài)的全面感知打下基礎。 （3）基于FBG傳感網(wǎng)的裝備運行狀態(tài)高速海量感知信息分布式傳輸、存儲、處理方法研究。 針對大數(shù)據(jù)感知信息的傳輸、存儲與處理問題，分別提出了不同應用場景下的解決方法。具體為：針對廣域分布式環(huán)境下面向裝備集群的大容量FBG傳感網(wǎng)在高采樣率下海量傳感信息的網(wǎng)絡傳輸問題，利用適用于實時數(shù)據(jù)流的開源消息處理架構Kafka部署分布式傳輸環(huán)境，以多生產(chǎn)者、消費者的發(fā)布訂閱方式取代傳統(tǒng)的SOCKET UDP直接通信模式，為實時海量傳感信息的分析與存儲提供條件；針對大數(shù)據(jù)感知信息實時存儲的問題，以單臺裝備和廣域環(huán)境下多裝備集群的不用應用場景下海量傳感信息存儲為目標，分別設計了基于改進的關系數(shù)據(jù)庫實時存儲方法和基于大數(shù)據(jù)非關系數(shù)據(jù)庫的海量傳感信息實時存儲方法，為感知信息分析與挖掘提供基礎；針對實際應用中對裝備工作機理不能全面掌握前，運行狀態(tài)是否正常的標準難以定義以及傳統(tǒng)閾值設定的監(jiān)測方法產(chǎn)生的虛警問題，以挖掘自身海量傳感信息為目標，提出了基于大數(shù)據(jù)分布式處理的情境約束下離群點檢測方法。實驗結果表明，在不同工作場景下都能夠滿足海量傳感信息的實時傳輸、可靠存儲、實時狀態(tài)監(jiān)測，為后期對海量傳感信息的離線分析提供數(shù)據(jù)基礎，，使監(jiān)測結果更加準確。 （4）FBG傳感網(wǎng)裝備狀態(tài)監(jiān)測的服務發(fā)布與智能匹配方法研究。 針對網(wǎng)絡化服務型制造模式下對于機械裝備的多樣性，工作環(huán)境的異構性以及海量裝備感知資源充分利用和共享的問題，以廣域環(huán)境下基于FBG傳感網(wǎng)裝備運行狀態(tài)的豐富感知資源的靈活使用與共享和裝備接入狀態(tài)監(jiān)測服務平臺時能夠敏捷構建基于服務的健康監(jiān)測系統(tǒng)為目標，提出了基于FBG傳感網(wǎng)裝備狀態(tài)監(jiān)測的相關服務定義與抽象方法和基于服務鏈知識庫自動匹配，多目標約束下的服務自動匹配，基于工作流的人機交互匹配三級遞進式服務匹配算法。實驗表明對部署有FBG傳感網(wǎng)的機械裝備進行狀態(tài)監(jiān)測時，能夠利用已有資源，通過服務匹配組合方式快速完成監(jiān)測與故障診斷功能，為構建網(wǎng)絡化服務型制造模式下的資源服務工廠，完成裝備與人員、生產(chǎn)、管理相融合的全生命周期服務型制造網(wǎng)絡提供基礎。 （5）FBG傳感網(wǎng)裝備運行狀態(tài)監(jiān)測系統(tǒng)與服務化管理平臺研究。 針對FBG傳感網(wǎng)裝備運行狀態(tài)監(jiān)測的系統(tǒng)集成與不同應用環(huán)境下多種新技術綜合使用的系統(tǒng)實現(xiàn)問題，分別以構建基于FBG傳感網(wǎng)的港口大型裝備狀態(tài)監(jiān)測系統(tǒng)和廣域網(wǎng)絡環(huán)境下面向服務的集群裝備服務管理平臺為目標，介紹了系統(tǒng)集成、系統(tǒng)架構、系統(tǒng)設計的方法，通過對以上關鍵技術綜合運用，分別實現(xiàn)了上述系統(tǒng)與平臺，解決了基于FBG傳感網(wǎng)機械裝備狀態(tài)監(jiān)測應用落地的問題和廣域分布式環(huán)境下大容量傳感信息的采集、傳輸、存儲、使用及服務化的問題。多個系統(tǒng)長期實際運行效果證明了方法的可靠性和正確性。
[Abstract]:With the rapid development of modern industry and the development of high speed , high precision and high automation of mechanical equipment , it is difficult to meet the requirement of long - term and accurate monitoring of mechanical equipment .

This paper takes major mechanical equipment as the target , and takes FBG sensor network as the sensing source , and focuses on the new requirements , new technology and new service faced by FBG sensing network system for monitoring the state of mechanical equipment under different network environment . The research route is to study the network model and addressing method of large capacity FBG sensor network based on FBG sensing network overall model and actual target , and to meet the requirement of comprehensive monitoring of equipment status .
the invention solves the problems of real - time distributed transmission , storage , processing and interconnectivity of the FBG sensing network in real time under different working scenes , and forms an internet of things based on optical fiber sensing ;
It further explores the application of monitoring and maintenance management of mechanical equipment in networked service - oriented manufacturing mode .
At the same time , the service publishing and combining mechanism based on FBG sensor network equipment state monitoring is studied to shield the heterogeneity of resources , the diversity of the system and the geographical distribution , and to make full use of the sensing resources .

( 1 ) The intelligent sensing network model based on FBG sensing and heterogeneous network interconnection method are researched .

In view of the theory and key technology of FBG sensor network monitoring in the state of mechanical equipment , firstly , an intelligent sensing network model based on FBG sensing is constructed , and the application objects and key problems under different FBG sensing networks are described .

( 2 ) FBG sensing network large capacity networking and addressing positioning method research .

Aiming at the problem that the number of sensing nodes of FBG sensing network is small and the requirement of large capacity of FBG sensing network can not be met in real time under the tuning range of large mechanical equipment , a hybrid networking method based on a novel coding type FBG and a plurality of multiplexing technologies is researched , and the problem that the traditional method is seriously disabled when the wavelength change amount is coincident is improved .

and ( 3 ) the distributed transmission , storage and processing method of the high - speed massive awareness information based on the equipment running state of the FBG sensing network .

Aiming at the problems of transmission , storage and processing of large - scale data - sensing information , a solution method under different application scenarios is proposed . In particular , the distributed transmission environment is deployed by the high - capacity FBG sensor network under the high sampling rate for the large - capacity FBG sensor network under the wide - domain distributed environment , and the traditional SOCKET UDP direct communication mode is replaced by the publishing subscription mode of the multi - producers and consumers , so as to provide the conditions for analyzing and storing real - time mass sensing information ;
Aiming at the problem of real - time storage of large data perception information , based on improved relational database real - time storage method and mass - sensing information real - time storage method based on large - data non - relational database , based on improved relational database real - time storage method and mass - sensing information real - time storage method based on large - data non - relational database , a real - time storage method based on improved relational database is designed .
The method of outlier detection based on large data distributed processing is presented in this paper . The results show that the real - time transmission , reliable storage and real - time monitoring of mass - sensing information can be met under different working scenes . The data base is provided for offline analysis of mass sensing information in the later stage , which makes the monitoring result more accurate .

( 4 ) The service publishing and intelligent matching method of FBG sensor network equipment status monitoring .

Aiming at the diversity of mechanical equipment , the heterogeneity of working environment and the problem of resource utilization and sharing of mass equipment in networked service - oriented manufacturing mode , the service - based health monitoring system can be quickly constructed based on the service - based health monitoring system in a wide - area environment based on the service - based health monitoring system .

( 5 ) The FBG sensor network equipment operation status monitoring system and the service management platform research .

Aiming at the system integration of FBG sensing network equipment operation state monitoring and the system realization problem of multiple new technologies under different application environments , this paper introduces the method of system integration , system architecture and system design based on FBG sensor network port large equipment state monitoring system and cluster equipment service management platform under the wide area network environment .

【學位授予單位】：武漢理工大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TH165.3;TP274

【參考文獻】

相關期刊論文 前10條

1 鄔賀銓;;物聯(lián)網(wǎng)的應用與挑戰(zhàn)綜述[J];重慶郵電大學學報(自然科學版);2010年05期

2 孫學勝;曹玖新;劉波;胡波;李和光;;基于多目標粒子群優(yōu)化的服務選擇算法[J];東南大學學報(自然科學版);2009年04期

3 王善鯉;向光華;忽滿利;喬學光;王艦;陳幸;;一種新型光纖Bragg光柵振動傳感器的設計[J];光電子.激光;2011年04期

4 王玉寶;蘭海軍;;基于光纖布拉格光柵波/時分復用傳感網(wǎng)絡研究[J];光學學報;2010年08期

5 李政穎;周祖德;童杏林;熊濤;唐智浩;蔡林均;趙猛;;高速大容量光纖光柵解調儀的研究[J];光學學報;2012年03期

6 李志全,黃麗娟,吳飛,王會波,騰峰成;基于OFDR/WDM的光纖光柵傳感網(wǎng)絡研究[J];光子學報;2005年01期

7 蘭玉文;劉波;羅建花;;光纖光柵三維應力傳感器的設計與實現(xiàn)[J];光子學報;2009年03期

8 黃尚廉 ,陳偉民,饒云江,朱永,符欲梅;光纖應變傳感器及其在結構健康監(jiān)測中的應用[J];測控技術;2004年05期

9 ;Digital monitoring for heavy duty mechanical equipment based on fiber Bragg grating sensor[J];Science in China(Series E:Technological Sciences);2009年02期

10 李伯虎;張霖;王時龍;陶飛;曹軍威;姜曉丹;宋曉;柴旭東;;云制造——面向服務的網(wǎng)絡化制造新模式[J];計算機集成制造系統(tǒng);2010年01期

本文編號：1795927