本文關(guān)鍵詞： 數(shù)值模擬 氣流組織 測(cè)量點(diǎn)位置優(yōu)化 正交函數(shù)逼近 聚類分析　出處：《中國(guó)海洋大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：通信機(jī)房是網(wǎng)絡(luò)服務(wù)中至關(guān)重要的一部分，所謂數(shù)據(jù)中心機(jī)房通常是指在某一物理空間內(nèi)對(duì)信息的處理、存儲(chǔ)、傳輸、交換、管理等進(jìn)行集中的處理和有機(jī)組合。電信設(shè)備的穩(wěn)定運(yùn)行對(duì)機(jī)房環(huán)境有著較高的要求。同時(shí)，數(shù)據(jù)中心行業(yè)的發(fā)展越來(lái)越快，一臺(tái)3P空調(diào)每天的耗電量就達(dá)到了36.1度，大力開展節(jié)電節(jié)能工作刻不容緩，這對(duì)緩解我國(guó)能源緊張，建設(shè)低碳經(jīng)濟(jì)等問題，都具有非常重要的意義。 在通信機(jī)房室內(nèi)熱環(huán)境的模擬過程中，涉及到極其復(fù)雜的物理過程，要根據(jù)實(shí)際需求找到合適的模型與之匹配。本文通過對(duì)通信機(jī)房的實(shí)地測(cè)試，，在了解了計(jì)算流體力學(xué)的理論知識(shí)以及應(yīng)用范圍的基礎(chǔ)上，對(duì)其數(shù)值計(jì)算方法進(jìn)行了研究，并將各個(gè)方法進(jìn)行了對(duì)比，找到適合本文模型的方法。結(jié)合運(yùn)用k-ε模型及SIMPLEC算法，選擇合適的邊界條件、各項(xiàng)參數(shù)并借助于FLUENT簡(jiǎn)化模擬出機(jī)房的溫度場(chǎng)和速度場(chǎng)等數(shù)據(jù)，得出因?yàn)閷?shí)際中風(fēng)管的沿程阻力、局部阻力等問題，各風(fēng)口的出風(fēng)量不均最高能達(dá)到9.67m/s，最低是3.27m/s。機(jī)房速度場(chǎng)分布并不均勻，而一般的送風(fēng)口測(cè)試點(diǎn)分布都是規(guī)律性分布，對(duì)不同的模型使用相同的測(cè)試方法會(huì)產(chǎn)生較大誤差，使得模擬結(jié)果與客戶提供數(shù)據(jù)不能很好的對(duì)應(yīng)。通過對(duì)流場(chǎng)的分析為后面的測(cè)量點(diǎn)位置改進(jìn)做出鋪墊。本文的研究采用正交函數(shù)逼近法，這種算法在很大程度上能夠保證分布參數(shù)模型的空間分布特性，而且計(jì)算量小，算法簡(jiǎn)單。在基于CFD技術(shù)的分布參數(shù)方法基礎(chǔ)上將偏微分方程轉(zhuǎn)化為代數(shù)方程組，從隨后的過程中求得未知參數(shù)，獲得較高精度的辨識(shí)結(jié)果。將從模擬結(jié)果得出的數(shù)據(jù)進(jìn)行分析，借助于正交函數(shù)逼近法的計(jì)算和聚類分析中的模糊識(shí)別通過MATLAB來(lái)得出測(cè)量點(diǎn)的最優(yōu)測(cè)試結(jié)果。實(shí)現(xiàn)了測(cè)量點(diǎn)位置的改進(jìn)。 在網(wǎng)絡(luò)服務(wù)快速發(fā)展的今天，機(jī)房各方面都有待優(yōu)化，數(shù)據(jù)中心的成功運(yùn)作需要長(zhǎng)期提供一個(gè)高效的散熱環(huán)境，并且期望以最低的運(yùn)營(yíng)費(fèi)用來(lái)達(dá)到最高的可用性和可靠性。本文僅提出一種測(cè)量點(diǎn)位置改進(jìn)的方案來(lái)為以后的通信機(jī)房測(cè)試點(diǎn)位置提供一種初步思路。該思路對(duì)于今后的通信機(jī)房改造也具有一定的意義。
[Abstract]:The communication room is a vital part of the network service. The so-called data center computer room usually refers to the processing, storage, transmission and exchange of information in a certain physical space. Management and other centralized processing and organic combination. The stable operation of telecommunications equipment has higher requirements for the computer room environment. At the same time, the data center industry is developing more and more quickly. The energy consumption of a 3P air conditioner is 36.1 degrees per day. It is of great significance to develop the energy saving and energy saving work, which is of great significance to alleviate the energy shortage and build a low-carbon economy in our country. In the process of simulating the indoor thermal environment of the communication computer room, the extremely complex physical process is involved, and a suitable model should be found to match it according to the actual demand. This paper passes the field test of the communication computer room. On the basis of understanding the theoretical knowledge of computational fluid dynamics and its application scope, the numerical calculation methods are studied and compared. Find the method suitable for this model and choose the appropriate boundary condition by using k- 蔚 model and SIMPLEC algorithm. With the help of FLUENT, the data of temperature field and velocity field of the engine room are simulated, and the problems such as the resistance along the path and the local resistance of the air pipe in practice are obtained. The distribution of velocity field in the engine room is not uniform, but the distribution of the test points of the general air supply outlet is regular. 3. The distribution of the uneven air output of the tuyere is 9.67 m / s, and the lowest is 3.27 m / s. The distribution of velocity field in the engine room is not uniform. Using the same test method for different models will result in large errors. The simulation results and customer data can not be very good correspondence. Through the analysis of the flow field to improve the position of the measurement points. This paper uses orthogonal function approximation method. To a large extent, this algorithm can guarantee the spatial distribution characteristics of the distributed parameter model, and the computational complexity is small. The algorithm is simple. On the basis of the distributed parameter method based on CFD technique, the partial differential equations are transformed into algebraic equations, and the unknown parameters are obtained from the subsequent process. High precision identification results are obtained. The data obtained from the simulation results are analyzed. By means of the calculation of orthogonal function approximation method and fuzzy recognition in clustering analysis, the optimal test results of measuring points are obtained by MATLAB, and the improvement of measuring points' position is realized. With the rapid development of network service, all aspects of computer room need to be optimized. The successful operation of data center needs to provide an efficient heat dissipation environment for a long time. It is expected that the highest availability and reliability can be achieved with the lowest operating cost. In this paper, we only propose a scheme to improve the location of the measuring points to provide a preliminary idea for the location of the test points in the future communication rooms. In the future, the transformation of the communication room also has certain significance.
【學(xué)位授予單位】：中國(guó)海洋大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN80

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