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

【摘要】：重大機(jī)械裝備運(yùn)行的可靠性和穩(wěn)定性直接影響國(guó)民經(jīng)濟(jì)發(fā)展和國(guó)防建設(shè)能力，一旦發(fā)生故障，將引起重大經(jīng)濟(jì)損失和嚴(yán)重后果。隨著現(xiàn)代工業(yè)的迅速發(fā)展以及機(jī)械裝備的高速、高精和高自動(dòng)化發(fā)展，機(jī)械系統(tǒng)工作狀態(tài)呈現(xiàn)出多維、耦合、時(shí)變、非線性的特點(diǎn)，因此對(duì)其運(yùn)行狀態(tài)動(dòng)態(tài)監(jiān)測(cè)提出了更高要求。傳統(tǒng)電測(cè)傳感器一般由于存在抗干擾能力差、環(huán)境適應(yīng)性弱、體積質(zhì)量大、關(guān)鍵部位難以部署等缺點(diǎn)，從而難以滿足機(jī)械裝備長(zhǎng)期準(zhǔn)確安全監(jiān)測(cè)的需要。無(wú)線傳感網(wǎng)由于其易受電磁干擾，傳輸能力與節(jié)點(diǎn)能量有限，安全性無(wú)法保證等缺點(diǎn)，也難以滿足多點(diǎn)、多場(chǎng)、分布式的大型裝備狀態(tài)監(jiān)測(cè)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(dòng)態(tài)多場(chǎng)、尺寸小、壽命長(zhǎng)等優(yōu)點(diǎn)，特別是對(duì)于經(jīng)常處于多場(chǎng)耦合、環(huán)境復(fù)雜、狀態(tài)多變等惡劣環(huán)境下的重大機(jī)械裝備運(yùn)行狀態(tài)長(zhǎng)期監(jiān)測(cè)具有重要意義。 本論文以重大機(jī)械裝備為應(yīng)用對(duì)象，以裝備運(yùn)行狀態(tài)健康監(jiān)測(cè)為目標(biāo)，以FBG傳感網(wǎng)為傳感源，重點(diǎn)以在不同網(wǎng)絡(luò)環(huán)境下對(duì)構(gòu)建面向機(jī)械裝備狀態(tài)監(jiān)測(cè)的FBG傳感網(wǎng)系統(tǒng)所面臨的新要求、新技術(shù)、新服務(wù)為研究?jī)?nèi)容，旨在實(shí)現(xiàn)機(jī)械裝備運(yùn)行狀態(tài)全面感知、海量傳感信息實(shí)時(shí)傳輸、深度利用、感知資源充分共享的FBG傳感網(wǎng)服務(wù)化管理平臺(tái)。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(luò)總體模型與實(shí)現(xiàn)目標(biāo)，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(cè)的需要；對(duì)部署有多個(gè)傳感節(jié)點(diǎn)的單臺(tái)裝備以及廣域環(huán)境下的裝備集群，解決不同工作場(chǎng)景下FBG傳感網(wǎng)海量傳感信息實(shí)時(shí)分布式傳輸、存儲(chǔ)、處理及與互聯(lián)網(wǎng)互聯(lián)互通的問(wèn)題，形成基于光纖傳感的物聯(lián)網(wǎng)；并進(jìn)一步探索在網(wǎng)絡(luò)化服務(wù)型制造模式下對(duì)機(jī)械裝備狀態(tài)監(jiān)測(cè)與維護(hù)管理的應(yīng)用；同時(shí)研究基于FBG傳感網(wǎng)裝備狀態(tài)監(jiān)測(cè)的服務(wù)發(fā)布與組合機(jī)制，以屏蔽資源的異構(gòu)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(guò)對(duì)上述技術(shù)的綜合利用，實(shí)現(xiàn)基于FBG傳感網(wǎng)的大型裝備狀態(tài)監(jiān)測(cè)系統(tǒng)與廣域環(huán)境下的服務(wù)管理平臺(tái)。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(luò)模型及異構(gòu)網(wǎng)互聯(lián)互通方法研究。 針對(duì)機(jī)械裝備狀態(tài)監(jiān)測(cè)的FBG傳感網(wǎng)相關(guān)理論與關(guān)鍵技術(shù)，首先從總體上構(gòu)建基于FBG傳感的智能感知網(wǎng)絡(luò)模型，描述了不同F(xiàn)BG傳感網(wǎng)環(huán)境下的應(yīng)用對(duì)象與關(guān)鍵問(wèn)題，為全文的研究提供整體架構(gòu)。同時(shí)，從宏觀上研究了FBG傳感網(wǎng)與其它網(wǎng)絡(luò)的互聯(lián)互通模型，特別是針對(duì)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(wèn)題，從應(yīng)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(shí)現(xiàn)了互聯(lián)網(wǎng)環(huán)境下裝備狀態(tài)監(jiān)測(cè)的FBG傳感網(wǎng)的使用，為FBG傳感網(wǎng)傳感信息的訪問(wèn)、存儲(chǔ)、分析、挖掘與共享奠定基礎(chǔ)。 （2）FBG傳感網(wǎng)大容量組網(wǎng)與尋址定位方法研究。 針對(duì)FBG傳感網(wǎng)傳統(tǒng)組網(wǎng)方法傳感節(jié)點(diǎn)數(shù)量少，無(wú)法滿足重大機(jī)械裝備運(yùn)行狀態(tài)實(shí)時(shí)監(jiān)測(cè)對(duì)FBG傳感網(wǎng)大容量要求的問(wèn)題，以研究有限光源帶寬和解調(diào)系統(tǒng)調(diào)諧范圍下滿足運(yùn)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(biāo)，構(gòu)建了基于新型編碼式FBG與多種復(fù)用技術(shù)相結(jié)合的混合組網(wǎng)方法并提出了適合多種復(fù)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(jìn)了傳統(tǒng)方法在波長(zhǎng)變化量重合時(shí)嚴(yán)重失效的問(wèn)題。實(shí)驗(yàn)結(jié)果表明編碼式FBG傳感網(wǎng)的傳感節(jié)點(diǎn)容量能夠大幅提升，大容量傳感節(jié)點(diǎn)在多種復(fù)雜工況環(huán)境下都能夠準(zhǔn)確尋址定位。為機(jī)械裝備運(yùn)行狀態(tài)的全面感知打下基礎(chǔ)。 （3）基于FBG傳感網(wǎng)的裝備運(yùn)行狀態(tài)高速海量感知信息分布式傳輸、存儲(chǔ)、處理方法研究。 針對(duì)大數(shù)據(jù)感知信息的傳輸、存儲(chǔ)與處理問(wèn)題，分別提出了不同應(yīng)用場(chǎng)景下的解決方法。具體為：針對(duì)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(luò)傳輸問(wèn)題，利用適用于實(shí)時(shí)數(shù)據(jù)流的開(kāi)源消息處理架構(gòu)Kafka部署分布式傳輸環(huán)境，以多生產(chǎn)者、消費(fèi)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(shí)時(shí)海量傳感信息的分析與存儲(chǔ)提供條件；針對(duì)大數(shù)據(jù)感知信息實(shí)時(shí)存儲(chǔ)的問(wèn)題，以單臺(tái)裝備和廣域環(huán)境下多裝備集群的不用應(yīng)用場(chǎng)景下海量傳感信息存儲(chǔ)為目標(biāo)，分別設(shè)計(jì)了基于改進(jìn)的關(guān)系數(shù)據(jù)庫(kù)實(shí)時(shí)存儲(chǔ)方法和基于大數(shù)據(jù)非關(guān)系數(shù)據(jù)庫(kù)的海量傳感信息實(shí)時(shí)存儲(chǔ)方法，為感知信息分析與挖掘提供基礎(chǔ)；針對(duì)實(shí)際應(yīng)用中對(duì)裝備工作機(jī)理不能全面掌握前，運(yùn)行狀態(tài)是否正常的標(biāo)準(zhǔn)難以定義以及傳統(tǒng)閾值設(shè)定的監(jiān)測(cè)方法產(chǎn)生的虛警問(wèn)題，以挖掘自身海量傳感信息為目標(biāo)，提出了基于大數(shù)據(jù)分布式處理的情境約束下離群點(diǎn)檢測(cè)方法。實(shí)驗(yàn)結(jié)果表明，在不同工作場(chǎng)景下都能夠滿足海量傳感信息的實(shí)時(shí)傳輸、可靠存儲(chǔ)、實(shí)時(shí)狀態(tài)監(jiān)測(cè)，為后期對(duì)海量傳感信息的離線分析提供數(shù)據(jù)基礎(chǔ)，，使監(jiān)測(cè)結(jié)果更加準(zhǔn)確。 （4）FBG傳感網(wǎng)裝備狀態(tài)監(jiān)測(cè)的服務(wù)發(fā)布與智能匹配方法研究。 針對(duì)網(wǎng)絡(luò)化服務(wù)型制造模式下對(duì)于機(jī)械裝備的多樣性，工作環(huán)境的異構(gòu)性以及海量裝備感知資源充分利用和共享的問(wèn)題，以廣域環(huán)境下基于FBG傳感網(wǎng)裝備運(yùn)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(cè)服務(wù)平臺(tái)時(shí)能夠敏捷構(gòu)建基于服務(wù)的健康監(jiān)測(cè)系統(tǒng)為目標(biāo)，提出了基于FBG傳感網(wǎng)裝備狀態(tài)監(jiān)測(cè)的相關(guān)服務(wù)定義與抽象方法和基于服務(wù)鏈知識(shí)庫(kù)自動(dòng)匹配，多目標(biāo)約束下的服務(wù)自動(dòng)匹配，基于工作流的人機(jī)交互匹配三級(jí)遞進(jìn)式服務(wù)匹配算法。實(shí)驗(yàn)表明對(duì)部署有FBG傳感網(wǎng)的機(jī)械裝備進(jìn)行狀態(tài)監(jiān)測(cè)時(shí)，能夠利用已有資源，通過(guò)服務(wù)匹配組合方式快速完成監(jiān)測(cè)與故障診斷功能，為構(gòu)建網(wǎng)絡(luò)化服務(wù)型制造模式下的資源服務(wù)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(wù)型制造網(wǎng)絡(luò)提供基礎(chǔ)。 （5）FBG傳感網(wǎng)裝備運(yùn)行狀態(tài)監(jiān)測(cè)系統(tǒng)與服務(wù)化管理平臺(tái)研究。 針對(duì)FBG傳感網(wǎng)裝備運(yùn)行狀態(tài)監(jiān)測(cè)的系統(tǒng)集成與不同應(yīng)用環(huán)境下多種新技術(shù)綜合使用的系統(tǒng)實(shí)現(xiàn)問(wèn)題，分別以構(gòu)建基于FBG傳感網(wǎng)的港口大型裝備狀態(tài)監(jiān)測(cè)系統(tǒng)和廣域網(wǎng)絡(luò)環(huán)境下面向服務(wù)的集群裝備服務(wù)管理平臺(tái)為目標(biāo)，介紹了系統(tǒng)集成、系統(tǒng)架構(gòu)、系統(tǒng)設(shè)計(jì)的方法，通過(guò)對(duì)以上關(guān)鍵技術(shù)綜合運(yùn)用，分別實(shí)現(xiàn)了上述系統(tǒng)與平臺(tái)，解決了基于FBG傳感網(wǎng)機(jī)械裝備狀態(tài)監(jiān)測(cè)應(yīng)用落地的問(wèn)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(chǔ)、使用及服務(wù)化的問(wèn)題。多個(gè)系統(tǒng)長(zhǎng)期實(shí)際運(yùn)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(xué)位授予單位】：武漢理工大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TH165.3;TP274

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