發(fā)布時間：2018-06-17 02:27

  本文選題：燃?xì)忾L直管道 + 泄漏檢測及定位��； 參考：《哈爾濱工業(yè)大學(xué)》2014年博士論文

【摘要】：目前，我國國民經(jīng)濟(jì)的持續(xù)高速發(fā)展對能源，特別是燃?xì)赓Y源的需求越來越迫切。隨著我國西部天然氣大開發(fā)和國外天然氣的大量引進(jìn)，燃?xì)夤艿赖拈L度越來越長，并且呈現(xiàn)高壓力、大管徑的特點。伴隨著這些高壓燃?xì)夤艿赖拈L度不斷增加，管道泄漏事故也時有發(fā)生。因為管道內(nèi)燃?xì)鈮毫芨撸坏┌l(fā)生泄漏，會造成嚴(yán)重的生命財產(chǎn)損失和環(huán)境污染。因此，及時發(fā)現(xiàn)泄漏并定位泄漏位置，開展應(yīng)對措施，對燃?xì)夤艿腊踩陵P(guān)重要。本文采用實驗和理論相結(jié)合的方法，對燃?xì)忾L直管道的泄漏檢測與定位做了以下的研究： 根據(jù)燃?xì)饬鲃踊究刂品匠�，針對燃�(xì)夤艿勒９r和泄漏工況，利用特征線法分別推導(dǎo)了基本控制方程對應(yīng)的差分方程，研究了相應(yīng)的計算方法。根據(jù)燃?xì)饬鲃拥倪\動方程和能量方程推導(dǎo)出管道沿線壓力和溫度分布。建立了燃?xì)夤艿佬孤┑膬弈Ｐ�、小孔模型、大孔模型和管道模型。并利用計算算例，對模型的正確性進(jìn)行了驗證，實現(xiàn)了燃?xì)夤艿佬孤┝康挠嬎恪?根據(jù)實驗研究目的，考慮研究對象的物理模型和實驗條件，改造搭建了燃?xì)庵惫艿佬孤z測實驗臺。研究了光纖光柵應(yīng)變傳感器檢測管道內(nèi)壓力變化的原理，并進(jìn)行了實驗測試。結(jié)合流體力學(xué)理論，對泄漏實驗結(jié)果進(jìn)行了分析，驗證了實驗研究的可行性。 為了利用基于擴展卡爾曼濾波器的方法來檢測泄漏并定位泄漏位置，將濾波器估計的實時模型法的基本思想與已經(jīng)建立的離散化的泄漏工況下的管道瞬態(tài)流動模型結(jié)合，，假設(shè)泄漏分布在分段點上，從而建立離散化的包含多點泄漏的瞬態(tài)流動模型。將分段點上泄漏量包含到模型中，并使其成為狀態(tài)變量的一個分量。利用擴展卡爾曼濾波器對狀態(tài)變量進(jìn)行估計，并利用等效管道的原理，研究了實際管道泄漏量和泄漏位置的計算方法。應(yīng)用模擬算例和實驗數(shù)據(jù)測試驗證了該方法。 負(fù)壓波法是目前應(yīng)用最廣泛的管道泄漏檢測與定位的方法，但這種方法的漏報率比較高、定位精度比較低。本文將光纖傳感技術(shù)與負(fù)壓波法結(jié)合，提出一種改進(jìn)負(fù)壓波法，并研究了此方法泄漏檢測及定位的原理。研究了基于小波閾值法的負(fù)壓波信號降噪的方法。通過實驗對比及負(fù)壓波衰減規(guī)律的研究，從技術(shù)和理論上分析了改進(jìn)負(fù)壓波法檢測效果優(yōu)于負(fù)壓波法的原因。 為了應(yīng)用改進(jìn)負(fù)壓波法定位泄漏位置，首先研究了小波分析尋找信號突變點的方法，并利用此方法得到負(fù)壓波傳播到上下游光纖光柵應(yīng)變傳感器的時間差。其次，考慮管道內(nèi)氣體流速變化和負(fù)壓波傳播速度變化對泄漏定位的影響，建立了改進(jìn)的燃?xì)夤艿佬孤┒ㄎ凰惴�，并利用�?fù)化辛普森和二分法進(jìn)行求解。最后，應(yīng)用實驗數(shù)據(jù)測試驗證了該方法的定位效果。 為了降低誤漏報率、減少人工，將模式識別的理論引入到燃?xì)夤艿赖男孤z測。提取改進(jìn)負(fù)壓波法采集到的泄漏工況和正常工況下的波形特征作為輸入特征向量，并由此建立基于最小二乘支持向量機的燃?xì)夤艿佬孤z測模型，實現(xiàn)了燃?xì)夤艿佬孤┑膶崟r智能檢測。
[Abstract]:At present, the continuous and rapid development of China's national economy is becoming more and more urgent for energy, especially gas resources. With the development of natural gas in the west of China and the introduction of foreign natural gas, the length of gas pipeline is longer and longer, and the high pressure, the special point of the large pipe diameter is accompanied by the increasing length of these high pressure gas pipelines. In addition, pipeline leakage accidents also occur. Because the gas pressure in the pipeline is very high, once the leakage occurs, it will cause serious loss of life and property and environmental pollution. Therefore, it is very important for gas pipeline safety to find leakage and locate the leakage position in time and carry out the countermeasures. This paper uses the method of combining experiment and theory to the gas. The leakage detection and location of long straight pipes have been studied as follows:
According to the basic control equation of gas flow, the differential equation corresponding to the basic control equation is derived by using the characteristic line method according to the normal and leakage conditions of gas pipeline, and the corresponding calculation method is studied. According to the motion equation and energy equation of gas flow, the distribution of pressure and temperature along the pipe is derived. A gas pipeline is established. The leaky tank model, the small hole model, the big hole model and the pipe model are used to verify the correctness of the model, and the calculation of the leakage of the gas pipeline is realized.
According to the purpose of the experiment, the physical model and the experimental conditions of the object are considered, and the test bench for the leakage detection of the gas straight pipeline is built. The principle of the change of the pressure in the pipe by the fiber grating strain sensor is studied, and the experimental test is carried out. The leakage experiment results are analyzed with the theory of fluid mechanics, and the actual results are verified. The feasibility of the study is tested.
In order to detect leakage and locate the leakage position based on the extended Calman filter, the basic idea of the real-time model method of the filter estimation is combined with the established transient flow model of the pipeline under the discrete leakage condition, assuming that the leakage is distributed on the piecewise point, thus establishing the discrete multi point leakage. The transient flow model is included in the model, and it makes it a component of the state variable. Using the extended Calman filter to estimate the state variable, and using the principle of the equivalent pipe, the calculation method of the leakage and leakage position of the actual pipeline is studied. The simulation example and experimental data test are applied. The method is proved.
Negative pressure wave method is the most widely used method of pipeline leakage detection and positioning, but the leakage rate of this method is high and the positioning accuracy is low. In this paper, an improved negative pressure wave method is proposed by combining optical fiber sensing technology with negative pressure wave method, and the principle of leakage detection and location based on this method is studied. The wavelet threshold method is studied. The method of reducing the noise of negative pressure wave signals. Through the comparison of experiment and the study of the attenuation law of negative pressure wave, the reasons for the improvement of the negative pressure wave method are analyzed from the technology and theory.
In order to locate the leakage position of the improved negative pressure wave method, the method of finding the signal abrupt point by the wavelet analysis is first studied, and the time difference between the negative pressure wave propagation to the upstream and downstream fiber Bragg grating strain sensor is obtained. Secondly, the influence of the change of gas flow velocity in the pipeline and the change of the propagation velocity of the negative pressure wave on the leakage location is considered. The improved gas pipeline leakage location algorithm and the complex Simpson and dichotomous method are used to solve the problem. Finally, the experimental data test is used to verify the positioning effect of the method.
In order to reduce the false alarm rate and reduce the manpower, the theory of pattern recognition is introduced to the leakage detection of gas pipeline. The characteristics of the leaky conditions collected by the improved negative pressure wave method and the characteristics of the normal operating conditions are extracted as the input feature vectors, and the leakage detection model based on the least square support direction quantity machine is established, and the fuel gas pipeline leakage detection model is established. Real time intelligent detection of gas pipeline leakage.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TU996.8

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