Data Management Coordination And Software Platform Development Of Steam Pipe Network

Steam pipe network is an important thermal energy facilities for many industrial and mining enterprises,It is of great significance to effectively monitor the operation of the steam pipe network for safe production and energy saving.Steam pipe network system is generally complex structure,geographical distribution,a comprehensive monitoring of the operation of the steam pipe network requires a lot of configuration instrument.In fact,the instrument configuration is incomplete,low measurement accuracy,fault instrument maintenance is not timely and other issues,Resulting in steam pipe network flow measurement data is incomplete,low precision,poor consistency and other issues.This has become a steam pipe network real-time optimization management of a major obstacle,and even lead to major security incidents.In this paper,the steam pipe network measurement data for the existence of the problem,the study of steam pipe network traffic data monitoring and coordination methods,and the development of steam pipe network data monitoring software platform.The main contents of this paper include:(1)The practical application of the thermodynamic properties of water and steam in practice,especially the application of hydrodynamic calculation model to the thermodynamic properties of water and steam.The calculation method of the thermodynamic properties of water and steam is studied and verified.The density,specific heat capacity and dynamic viscosity of the second and third regions are obtained.Secondly,the algorithm of each region is given.(2)Aiming at the problem of incomplete steam flow measurement data,the calculation model of steam pipe network flow,Based on the data of pressure,temperature and pipe network in the pipeline node of steam pipe network,the calculation model of steam flow in each pipe section is calculated according to the hydraulic and thermodynamic equations of steam pipe network.Estimating the unmeasured flow data and measuring the flow data with severe anomalies.(3)For the steam pipe network in many measurement data in the abnormal data and artificial difficult to quickly find the problem.This paper studies the method of data monitoring by statistical process control,and puts forward the method of assigning univariate statistical process control limit according to the statistical characteristics of univariate.Based on the "3σ" principle,combined with the characteristics of the empirical map of each variable,the normal working area and the abnormal area of the variable are automatically calculated to form the corresponding prompt or alarm information.(4)Aiming at the problem of poor consistency of relevant traffic data in steam pipe network,In this paper,the steam pipe network flow data coordination algorithm is studied and verified.Considering the loss of steam pipe network,it is proposed to use Taylor expansion method to determine the leakage of steam pipe network and steam due to condensation.The constraint equation is improved according to the loss.It is proposed to use the variance-covariance method to determine the weighting coefficient matrix.(5)Based on the research results of this paper,the software system and function structure of steam pipe network monitoring and control platform are designed.In this paper,we design the calculation program of thermodynamic properties of water and steam in MATLAB,and use C # language to develop steam pipe network monitoring platform in Visual Studio.NET development environment.Through the research of this paper,the rapid calculation of the steam properties,the monitoring of the abnormal data of the steam pipe network,the quality of the flow monitoring data of the steam pipe network are improved,and the data integrity,accuracy and consistency of the steam pipe network flow are improved.The design of the software platform for enterprise steam pipe network remote monitoring and optimization management has important value.