蒸汽管网数据监控协调及软件平台开发

发布时间：2019-02-19 17:36

【摘要】：蒸汽管网是很多工矿企业重要的热能设施,有效监控蒸汽管网运行对企业安全生产和节能降耗有重要意义。蒸汽管网系统一般结构复杂,地理分布广,全面监控蒸汽管网的运行情况需要大量配置仪表。实际中,仪表配置不全、测量精度低、故障仪表维修不及时等问题,造成蒸汽管网流量测量数据存在不完整、精度低、一致性差等问题。成为蒸汽管网实时优化管理的一大障碍,甚至导致重大安全事故。本文针对蒸汽管网测量数据存在的问题,研究蒸汽管网流量数据监控协调方法,并开发了蒸汽管网数据监控的软件平台。本文主要内容包括:(1)针对水与蒸汽复杂的热力学性质在实践中应用的困难,特别是水力热力计算模型对水与蒸汽热力学性质的应用。研究和验证了水与蒸汽的热力学性质计算方法,求出第二区域与第三区域的密度、比定压热容与动力粘度值,其次给出各区域的判断算法。(2)针对蒸汽管网流量测量数据不完整的问题,研究蒸汽管网流量计算模型,提出利用蒸汽管网中管道节点处压力、温度和管网特性数据,根据蒸汽管网的水力学与热力学方程计算各管段蒸汽流量的计算模型。估算出未测量的流量数据和测量存在严重异常的流量数据。(3)针对蒸汽管网众多测量数据中出现的异常数据且人工难以快速发现的问题,研究采用统计过程控制进行数据监控的方法,提出根据单变量的统计特性,划定单变量统计过程控制极限的方法。基于“3σ”原则,结合各变量的经验分布图的特点,自动计算该变量正常工作区域和非正常工作区域,形成相应的提示或报警信息。(4)针对蒸汽管网中相关流量数据一致性差的问题,研究和验证了蒸汽管网流量数据协调算法,考虑到蒸汽管网的损耗问题,提出利用泰勒展开式的方法确定蒸汽管网泄漏与蒸汽由于冷凝等情况发生的损耗。根据损耗对约束方程进行改进。提出利用方差-协方差的方法确定加权系数矩阵。(5)综合本文的研究结果,设计了蒸汽管网测控平台的软件系统与功能结构,在MATLAB上设计水与蒸汽的热力学性质计算程序,在Visual Studio.NET开发环境中采用C#语言开发蒸汽管网监控平台,实现本文的算法。通过本文的研究,实现对蒸汽性质的快速运算,蒸汽管网异常数据的监控,提高蒸汽管网的流量监测数据质量,改善了蒸汽管网流量数据完整性、精确性与一致性。设计的软件平台对企业蒸汽管网远程监控和优化管理有重要价值。
[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.
【学位授予单位】：东华理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52

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