本文選題：結(jié)構(gòu)健康監(jiān)測(cè)　切入點(diǎn)：物聯(lián)網(wǎng)　出處：《哈爾濱工業(yè)大學(xué)》2013年碩士論文

【摘要】：結(jié)構(gòu)健康監(jiān)測(cè)系統(tǒng)是保障重大工程結(jié)構(gòu)安全的重要手段，對(duì)于保障城市安全和城市功能的正常發(fā)揮以及經(jīng)濟(jì)和社會(huì)的可持續(xù)發(fā)展具有重大意義。實(shí)現(xiàn)結(jié)構(gòu)健康監(jiān)測(cè)與物聯(lián)網(wǎng)的融合是數(shù)字城市建設(shè)的必然要求，可促進(jìn)結(jié)構(gòu)健康監(jiān)測(cè)發(fā)展，使其發(fā)揮更大作用。云計(jì)算技術(shù)是物聯(lián)網(wǎng)海量感知數(shù)據(jù)高效智能處理的重要支撐技術(shù)，將物聯(lián)網(wǎng)和云計(jì)算技術(shù)應(yīng)用到結(jié)構(gòu)健康監(jiān)測(cè)領(lǐng)域是一個(gè)重要的研究方向。 為了實(shí)現(xiàn)物聯(lián)網(wǎng)在結(jié)構(gòu)健康監(jiān)測(cè)領(lǐng)域的應(yīng)用，本文根據(jù)結(jié)構(gòu)健康監(jiān)測(cè)的要求，提出了結(jié)構(gòu)健康監(jiān)測(cè)物聯(lián)網(wǎng)的總體方案；考慮云計(jì)算對(duì)該系統(tǒng)的支持，分析了結(jié)構(gòu)健康監(jiān)測(cè)中加速度響應(yīng)信號(hào)處理等任務(wù)的可并行性，利用分析結(jié)果對(duì)結(jié)構(gòu)健康監(jiān)測(cè)云中的計(jì)算與存儲(chǔ)進(jìn)行了概念設(shè)計(jì)；為了驗(yàn)證云計(jì)算的應(yīng)用分析，利用MATLAB對(duì)ITD模態(tài)參數(shù)識(shí)別任務(wù)進(jìn)行了分布式計(jì)算模擬。本文具體完成了以下三方面工作： 提出了結(jié)構(gòu)健康監(jiān)測(cè)物聯(lián)網(wǎng)系統(tǒng)的總體方案，并基于功能需求分析了各功能子層的概念設(shè)計(jì)，，同時(shí)設(shè)計(jì)了C/S與B/S混合的結(jié)構(gòu)健康監(jiān)測(cè)物聯(lián)網(wǎng)管理系統(tǒng)體系結(jié)構(gòu)。 分析并得到了結(jié)構(gòu)健康監(jiān)測(cè)基于加速度響應(yīng)的模態(tài)參數(shù)識(shí)別、損傷診斷、模型修正和安全評(píng)定等任務(wù)的可并行性分析結(jié)果，也分析了相關(guān)任務(wù)的分解、計(jì)算與存儲(chǔ)策略以及云中分布式計(jì)算適用性。并利用上述分析結(jié)果對(duì)結(jié)構(gòu)健康監(jiān)測(cè)云中的計(jì)算與存儲(chǔ)進(jìn)行了概念設(shè)計(jì)，主要考慮云中計(jì)算與存儲(chǔ)的整合和遷移；針對(duì)縱向數(shù)據(jù)分塊策略，舉例部署了ITD模態(tài)參數(shù)識(shí)別和有限元模型修正任務(wù)在云中計(jì)算與存儲(chǔ)的整合和遷移及其執(zhí)行控制。 利用MATLAB并行和分布式計(jì)算工具箱對(duì)ITD模態(tài)參數(shù)識(shí)別任務(wù)進(jìn)行了云計(jì)算模擬，模擬實(shí)現(xiàn)了pmode、parfor、SPMD共3種并行結(jié)構(gòu)5個(gè)并行計(jì)算程序的單機(jī)和多機(jī)云中分布式計(jì)算。并將其與單機(jī)串行計(jì)算對(duì)比，分析了模擬分布式計(jì)算對(duì)計(jì)算效率的提高，結(jié)果顯示其中的通信代價(jià)不可忽略，同時(shí)對(duì)模擬分布式計(jì)算與云中分布式計(jì)算進(jìn)行了理論對(duì)比分析，著重分析了兩者的不同，通過對(duì)比得出了云中分布式計(jì)算更高效更穩(wěn)定可靠的結(jié)論。
[Abstract]:Structural health monitoring system is an important means to ensure the safety of major engineering structures. It is of great significance to ensure the safety of cities, the normal exertion of urban functions and the sustainable development of economy and society.The integration of structural health monitoring and Internet of things is an inevitable requirement of digital city construction, which can promote the development of structural health monitoring and make it play a greater role.Cloud computing technology is an important supporting technology for efficient and intelligent processing of mass perceptual data in the Internet of things. It is an important research direction to apply the technology of Internet of things and cloud computing to the field of structural health monitoring.In order to realize the application of Internet of things in the field of structural health monitoring, according to the requirements of structural health monitoring, this paper puts forward the overall scheme of structural health monitoring of Internet of things, considering the support of cloud computing to the system.The parallelism of acceleration response signal processing in structural health monitoring is analyzed. The calculation and storage in structural health monitoring cloud are designed by using the analysis results.MATLAB is used to simulate the ITD modal parameter identification task.This paper has completed the following three aspects of work:In this paper, the overall scheme of structured health monitoring and the concept design of each functional sub-layer are analyzed based on the functional requirements, and the architecture of the structured health monitoring system of IoT based on the mixture of C / S and B / S is designed at the same time.The parallelism analysis results of modal parameter identification, damage diagnosis, model modification and safety assessment of structural health monitoring based on acceleration response are analyzed and the decomposition of related tasks is also analyzed.Computing and storage strategy and applicability of distributed computing in the cloud.The conceptual design of calculation and storage in the structural health monitoring cloud is carried out by using the above analysis results, mainly considering the integration and migration of the calculation and storage in the cloud, and aiming at the strategy of dividing the longitudinal data into blocks,For example, the integration and migration of ITD modal parameter identification and finite element model modification in cloud computing and storage and its execution control are deployed.The MATLAB parallel and distributed computing toolbox is used to simulate the ITD modal parameter identification task. The simulation realizes the distributed computing in single computer and multi-machine cloud with three parallel structures and five parallel computing programs.By comparing it with single computer, the paper analyzes the improvement of computing efficiency by simulating distributed computing. The results show that the communication cost can not be ignored. At the same time, the theoretical comparison between simulated distributed computing and cloud distributed computing is carried out.The difference between them is analyzed, and the conclusion that distributed computing in cloud is more efficient, more stable and reliable is obtained by comparison.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP391.44;TN929.5;TU317

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