蒸汽管網(wǎng)數(shù)據(jù)監(jiān)控協(xié)調(diào)及軟件平臺開發(fā)
發(fā)布時間：2019-02-19 17:36
【摘要】：蒸汽管網(wǎng)是很多工礦企業(yè)重要的熱能設(shè)施,有效監(jiān)控蒸汽管網(wǎng)運(yùn)行對企業(yè)安全生產(chǎn)和節(jié)能降耗有重要意義。蒸汽管網(wǎng)系統(tǒng)一般結(jié)構(gòu)復(fù)雜,地理分布廣,全面監(jiān)控蒸汽管網(wǎng)的運(yùn)行情況需要大量配置儀表。實際中,儀表配置不全、測量精度低、故障儀表維修不及時等問題,造成蒸汽管網(wǎng)流量測量數(shù)據(jù)存在不完整、精度低、一致性差等問題。成為蒸汽管網(wǎng)實時優(yōu)化管理的一大障礙,甚至導(dǎo)致重大安全事故。本文針對蒸汽管網(wǎng)測量數(shù)據(jù)存在的問題,研究蒸汽管網(wǎng)流量數(shù)據(jù)監(jiān)控協(xié)調(diào)方法,并開發(fā)了蒸汽管網(wǎng)數(shù)據(jù)監(jiān)控的軟件平臺。本文主要內(nèi)容包括:(1)針對水與蒸汽復(fù)雜的熱力學(xué)性質(zhì)在實踐中應(yīng)用的困難,特別是水力熱力計算模型對水與蒸汽熱力學(xué)性質(zhì)的應(yīng)用。研究和驗證了水與蒸汽的熱力學(xué)性質(zhì)計算方法,求出第二區(qū)域與第三區(qū)域的密度、比定壓熱容與動力粘度值,其次給出各區(qū)域的判斷算法。(2)針對蒸汽管網(wǎng)流量測量數(shù)據(jù)不完整的問題,研究蒸汽管網(wǎng)流量計算模型,提出利用蒸汽管網(wǎng)中管道節(jié)點(diǎn)處壓力、溫度和管網(wǎng)特性數(shù)據(jù),根據(jù)蒸汽管網(wǎng)的水力學(xué)與熱力學(xué)方程計算各管段蒸汽流量的計算模型。估算出未測量的流量數(shù)據(jù)和測量存在嚴(yán)重異常的流量數(shù)據(jù)。(3)針對蒸汽管網(wǎng)眾多測量數(shù)據(jù)中出現(xiàn)的異常數(shù)據(jù)且人工難以快速發(fā)現(xiàn)的問題,研究采用統(tǒng)計過程控制進(jìn)行數(shù)據(jù)監(jiān)控的方法,提出根據(jù)單變量的統(tǒng)計特性,劃定單變量統(tǒng)計過程控制極限的方法�；凇�3σ”原則,結(jié)合各變量的經(jīng)驗分布圖的特點(diǎn),自動計算該變量正常工作區(qū)域和非正常工作區(qū)域,形成相應(yīng)的提示或報警信息。(4)針對蒸汽管網(wǎng)中相關(guān)流量數(shù)據(jù)一致性差的問題,研究和驗證了蒸汽管網(wǎng)流量數(shù)據(jù)協(xié)調(diào)算法,考慮到蒸汽管網(wǎng)的損耗問題,提出利用泰勒展開式的方法確定蒸汽管網(wǎng)泄漏與蒸汽由于冷凝等情況發(fā)生的損耗。根據(jù)損耗對約束方程進(jìn)行改進(jìn)。提出利用方差-協(xié)方差的方法確定加權(quán)系數(shù)矩陣。(5)綜合本文的研究結(jié)果,設(shè)計了蒸汽管網(wǎng)測控平臺的軟件系統(tǒng)與功能結(jié)構(gòu),在MATLAB上設(shè)計水與蒸汽的熱力學(xué)性質(zhì)計算程序,在Visual Studio.NET開發(fā)環(huán)境中采用C#語言開發(fā)蒸汽管網(wǎng)監(jiān)控平臺,實現(xiàn)本文的算法。通過本文的研究,實現(xiàn)對蒸汽性質(zhì)的快速運(yùn)算,蒸汽管網(wǎng)異常數(shù)據(jù)的監(jiān)控,提高蒸汽管網(wǎng)的流量監(jiān)測數(shù)據(jù)質(zhì)量,改善了蒸汽管網(wǎng)流量數(shù)據(jù)完整性、精確性與一致性。設(shè)計的軟件平臺對企業(yè)蒸汽管網(wǎng)遠(yuǎn)程監(jiān)控和優(yōu)化管理有重要價值。
[Abstract]:Steam pipe network is an important thermal energy facility in many industrial and mining enterprises. It is of great significance to monitor the operation of steam pipe network effectively for enterprise safety production and energy saving and consumption reduction. The steam pipe network system generally has complex structure and wide geographical distribution. It needs a large number of instruments to monitor the operation of steam pipe network. In practice, the problems of incomplete instrument configuration, low measuring precision and untimely maintenance of faulty instrument lead to the problems of incomplete, low precision and poor consistency of steam pipe network flow measurement data. It has become a big obstacle to the real-time optimization management of steam pipe network, and even led to major safety accidents. Aiming at the existing problems of steam pipe network measurement data, this paper studies the method of steam pipe network flow data monitoring and coordination, and develops a software platform for steam pipe network data monitoring. The main contents of this paper are as follows: (1) it is difficult to apply the complex thermodynamic properties of water and steam in practice, especially the application of hydraulic thermodynamic calculation model to the thermodynamic properties of water and steam. The calculation method of thermodynamic properties of water and steam is studied and verified. The density, specific pressure heat capacity and dynamic viscosity of the second and third regions are obtained. Secondly, the algorithm of judging each region is given. (2) aiming at the problem of incomplete measurement data of steam pipe network flow, the calculation model of steam pipe network flow is studied, and the data of pressure, temperature and pipe network characteristic at the node of steam pipe network are put forward. According to the hydraulic and thermodynamic equations of the steam pipe network, the calculation model of the steam flow in each section of the pipe is calculated. The unmeasured flow data and the serious abnormal flow data are estimated. (3) aiming at the problem of abnormal data in steam pipe network which is difficult to find quickly, This paper studies the method of data monitoring by statistical process control, and puts forward a method of delimiting the limit of single variable statistical process control according to the statistical characteristics of single variable. Based on the principle of "3 蟽" and combined with the characteristics of the experiential distribution map of each variable, the normal and abnormal working areas of the variable are calculated automatically. (4) aiming at the problem of poor consistency of relevant flow data in steam pipe network, this paper studies and verifies the coordination algorithm of steam pipe network flow data, considering the loss of steam pipe network, A Taylor expansion method is proposed to determine the leakage of steam pipe network and the loss of steam due to condensation. The constraint equation is improved according to the loss. The method of variance-covariance is used to determine the weighting coefficient matrix. (5) based on the research results of this paper, the software system and function structure of the measurement and control platform of steam pipe network are designed, and the calculation program of thermodynamic properties of water and steam is designed on MATLAB. The C # language is used to develop the steam pipe network monitoring platform in Visual Studio.NET development environment, and the algorithm of this paper is realized. Through the research in this paper, the fast calculation of steam property, the monitoring of abnormal data of steam pipe network are realized, the quality of flow monitoring data of steam pipe network is improved, and the integrity, accuracy and consistency of flow data of steam pipe network are improved. The designed software platform is of great value to the remote monitoring and optimization management of the steam pipe network in enterprises.
【學(xué)位授予單位】：東華理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP311.52
本文編號：2426712
[Abstract]:Steam pipe network is an important thermal energy facility in many industrial and mining enterprises. It is of great significance to monitor the operation of steam pipe network effectively for enterprise safety production and energy saving and consumption reduction. The steam pipe network system generally has complex structure and wide geographical distribution. It needs a large number of instruments to monitor the operation of steam pipe network. In practice, the problems of incomplete instrument configuration, low measuring precision and untimely maintenance of faulty instrument lead to the problems of incomplete, low precision and poor consistency of steam pipe network flow measurement data. It has become a big obstacle to the real-time optimization management of steam pipe network, and even led to major safety accidents. Aiming at the existing problems of steam pipe network measurement data, this paper studies the method of steam pipe network flow data monitoring and coordination, and develops a software platform for steam pipe network data monitoring. The main contents of this paper are as follows: (1) it is difficult to apply the complex thermodynamic properties of water and steam in practice, especially the application of hydraulic thermodynamic calculation model to the thermodynamic properties of water and steam. The calculation method of thermodynamic properties of water and steam is studied and verified. The density, specific pressure heat capacity and dynamic viscosity of the second and third regions are obtained. Secondly, the algorithm of judging each region is given. (2) aiming at the problem of incomplete measurement data of steam pipe network flow, the calculation model of steam pipe network flow is studied, and the data of pressure, temperature and pipe network characteristic at the node of steam pipe network are put forward. According to the hydraulic and thermodynamic equations of the steam pipe network, the calculation model of the steam flow in each section of the pipe is calculated. The unmeasured flow data and the serious abnormal flow data are estimated. (3) aiming at the problem of abnormal data in steam pipe network which is difficult to find quickly, This paper studies the method of data monitoring by statistical process control, and puts forward a method of delimiting the limit of single variable statistical process control according to the statistical characteristics of single variable. Based on the principle of "3 蟽" and combined with the characteristics of the experiential distribution map of each variable, the normal and abnormal working areas of the variable are calculated automatically. (4) aiming at the problem of poor consistency of relevant flow data in steam pipe network, this paper studies and verifies the coordination algorithm of steam pipe network flow data, considering the loss of steam pipe network, A Taylor expansion method is proposed to determine the leakage of steam pipe network and the loss of steam due to condensation. The constraint equation is improved according to the loss. The method of variance-covariance is used to determine the weighting coefficient matrix. (5) based on the research results of this paper, the software system and function structure of the measurement and control platform of steam pipe network are designed, and the calculation program of thermodynamic properties of water and steam is designed on MATLAB. The C # language is used to develop the steam pipe network monitoring platform in Visual Studio.NET development environment, and the algorithm of this paper is realized. Through the research in this paper, the fast calculation of steam property, the monitoring of abnormal data of steam pipe network are realized, the quality of flow monitoring data of steam pipe network is improved, and the integrity, accuracy and consistency of flow data of steam pipe network are improved. The designed software platform is of great value to the remote monitoring and optimization management of the steam pipe network in enterprises.
【學(xué)位授予單位】：東華理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP311.52
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