CN111159909B - Method for processing characteristic data and drawing characteristic cloud picture of air compressor - Google Patents
Method for processing characteristic data and drawing characteristic cloud picture of air compressor Download PDFInfo
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- CN111159909B CN111159909B CN201911418955.8A CN201911418955A CN111159909B CN 111159909 B CN111159909 B CN 111159909B CN 201911418955 A CN201911418955 A CN 201911418955A CN 111159909 B CN111159909 B CN 111159909B
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Abstract
A method for processing characteristic data and drawing characteristic cloud pictures of a gas compressor belongs to the technical field of gas turbines. The invention solves the problem that the prior method can not realize real-time data call between the Matlab software platform and the Smooth C software. The method comprehensively utilizes the advantages of accurate interpolation and data processing of the Smooth C software on the characteristic line of the air compressor and the advantages of the Matlab software platform on the data processing. After Smooth C is utilized to output SMO format characteristic data, an M program compiled by a Matlab software platform is used for converting the SMO format characteristic data into characteristic flow, pressure ratio and efficiency matrix data; and then, the characteristic module of the gas turbine performance simulation model established based on the Matlab software platform automatically and seamlessly calls data, so that the rapid processing and seamless calling of the characteristics of the gas compressor can be realized, and the requirement of real-time calling of the data is met. The invention can be applied to the processing of the characteristic data of the air compressor and the drawing of characteristic cloud pictures.
Description
Technical Field
The invention relates to the technical field of gas turbines, in particular to a method for processing characteristic data and drawing characteristic cloud pictures of a gas compressor.
Background
The compressor characteristics are particularly important for modeling simulation of the gas turbine, and the processing of the compressor characteristics is a relatively tedious work for modeling personnel. The conventional characteristic processing method of the gas compressor is often to manually add auxiliary lines, so that the manual processing is complicated due to the fact that data are numerous, the point selection precision is low, and the simulation calculation precision of the gas turbine is low.
The characteristic processing software Smooth C of the air compressor can automatically add auxiliary lines to characteristic data of the air compressor, discretize the data, smooth the characteristic data, and interpolate and add isotachometer lines to realize high-precision data point interpolation and output. However, the program codes of the Matlab C software are closed, an interface is not interacted with the Matlab software platform, the generated data cannot be directly called by a gas turbine simulation model, a compressor characteristic cloud image which can be directly called by the Matlab software platform cannot be generated, real-time data calling between the Matlab software platform and the Smooth C software cannot be realized, and a post-processing program used between the Matlab software platform and the Smooth C software is needed.
Disclosure of Invention
The invention aims to solve the problem that the existing method can not realize real-time data call between a Matlab software platform and Smooth C software, and provides a method for processing characteristic data and drawing characteristic cloud pictures of a gas compressor.
The technical scheme adopted for solving the technical problems is as follows: a method for processing characteristic data and drawing characteristic cloud pictures of a gas compressor comprises the following steps:
firstly, inputting original data into Smooth C software, processing the input original data by using the Smooth C software, and storing and outputting an SMO format data file compression-Characteristics.
Copying a path of the data file in the first step into a current Folder in an MATLAB software platform interface, after running a program, obtaining flow, pressure ratio and efficiency matrix data at different rotating speeds, and drawing the obtained data into a FIG format diagram;
step three, a gas turbine performance simulation model is established based on Matlab software, and the established gas turbine performance simulation model automatically calls flow, pressure ratio and efficiency matrix data obtained in the step two;
and based on a two-dimensional interpolation theory, the compressor characteristic efficiency equal-height cloud image required by free interpolation is combined with an equal-rotation speed line to draw a complete compressor characteristic cloud image.
The beneficial effects of the invention are as follows: the invention provides a method for processing characteristic data and drawing characteristic cloud pictures of a gas compressor. After Smooth C is utilized to output SMO format characteristic data, an M program compiled by a Matlab software platform is used for converting the SMO format characteristic data into characteristic flow, pressure ratio and efficiency matrix data; and then, the characteristic module of the gas turbine performance simulation model established based on the Matlab software platform automatically and seamlessly calls data, so that the rapid processing and seamless calling of the characteristics of the gas compressor can be realized, and the requirement of real-time calling of the data is met.
Drawings
FIG. 1 is a Smooth software interface screenshot;
FIG. 2 is a schematic illustration of a Smooth C compressor characterization process based on auxiliary line beta;
FIG. 3 is a MATLAB software platform interface screenshot;
FIG. 4 is an interface screenshot of a compressor characterization data processing and characterization cloud mapping program;
FIG. 5 is a graph of compressor characteristic flow-to-pressure ratio;
in the figure: n represents the rotation speed;
FIG. 6 is a compressor flow-efficiency map;
FIG. 7 is a schematic illustration of the selection and display of an equal efficiency line value;
fig. 8 is a compressor characterization cloud drawn by the MATLAB software platform.
Detailed Description
The first embodiment is as follows: the method for processing the characteristic data and drawing the characteristic cloud image of the air compressor in the embodiment comprises the following steps:
step one, as shown in fig. 1, inputting original data into Smooth C software, processing the input original data by using the Smooth C software, and storing and outputting an SMO format data file Compressor-Characteristics.
Copying a path of the data file in the first step into a current Folder in an MATLAB software platform interface, after running a program, obtaining flow, pressure ratio and efficiency matrix data at different rotating speeds, and drawing the obtained data into a FIG format diagram;
copying the path of the SMO format data file to a current Folder in an MATLAB software platform interface, wherein the file contained in the computing software appears on the left part of the MATLAB software platform as shown in FIG. 3;
opening a compacter_text.m file, copying a compacter-Characteristics.SMO into a file in which "fid1=fopen ('compacter-Characteristics.SMO', 'r')", namely copying into a black solid line frame of FIG. 4, and clicking Run;
after the program is run, three mat files of data_G, data_pi and data_lv, which are data based on the flow, the pressure ratio and the efficiency of the auxiliary line beta line at the same rotating speed, are respectively generated in a work space of MATLAB software, and are drawn into a FIG format diagram; as shown in fig. 5 and 6.
Step three, a gas turbine performance simulation model is established based on Matlab software, and the established gas turbine performance simulation model automatically calls flow, pressure ratio and efficiency matrix data obtained in the step two;
and based on a two-dimensional interpolation theory, the compressor characteristic efficiency equal-height cloud image required by free interpolation is combined with an equal-rotation speed line to draw a complete compressor characteristic cloud image.
The characteristic module of the gas turbine performance simulation model established based on the Matlab software platform is automatically and seamlessly called, so that the rapid processing and seamless calling of the characteristics of the gas compressor can be realized, and the performance simulation calculation and evaluation of the gas turbine can be rapidly developed;
after the program is run, a characteristic efficiency cloud chart and a cross cursor appear, as shown in fig. 7, clicking an equal efficiency line to be displayed, and a value of the efficiency circle appears at a place clicked by the cross cursor, after the efficiency line and the value to be displayed are determined, a carriage return key is pressed, and the compressor characteristic cloud chart is drawn, as shown in fig. 8.
The second embodiment is as follows: the first difference between this embodiment and the specific embodiment is that: in the first step, the original data input into the Smooth C software is MEA format data.
And a third specific embodiment: the first difference between this embodiment and the specific embodiment is that: in the first step, the input original data is processed by using Smooth C software, which specifically comprises the following steps:
the number of auxiliary lines beta is determined and rounding corrections are made to the speed line pressure ratio and efficiency data, as shown in fig. 2.
The invention utilizes the advantages of accurate interpolation and data processing of the Smooth C software on the characteristic line of the compressor and the advantages of the Matlab software platform on the data processing.
The SMO format characteristic data is output by utilizing the Smooth C, the SMO format characteristic data is converted into characteristic flow, pressure ratio and efficiency matrix data by an M program compiled by a Matlab software platform, and the characteristic module of the gas turbine performance simulation model established based on the Matlab software platform is automatically and seamlessly called, so that the rapid processing and seamless calling of the characteristics of the gas compressor can be realized, and the simulation calculation evaluation of the performance of the gas turbine can be rapidly developed; based on a two-dimensional interpolation theory, the equal-altitude cloud image of the characteristic efficiency of the air compressor in the requirement of free interpolation can be displayed on a cloud image line freely, and the equal-altitude cloud image numerical value is combined with an isotachometer line to draw a complete cloud image of the characteristic curve of the air compressor. The method completes the rapid and automatic processing of the characteristics of the compressor and the rapid drawing of the characteristic cloud picture, and saves the defects of redundancy, time consumption and the like of the conventional characteristic processing of the compressor.
When the characteristics of the compressor are processed, high-precision data point interpolation and output are realized on the characteristic line of the compressor by utilizing Smooth C software, and the advantages of Matlab software on data processing are realized. And intelligent and automatic characteristic processing is carried out aiming at different compressors.
After the data of the compressor obtained by the Smooth C is processed, flow, pressure ratio and efficiency values of the compressor at different rotating speeds can be obtained, the characteristics of the compressor based on the auxiliary line beta line are more accurate, simulation modeling can be directly invoked, and the model requirements of the steady-state performance and the dynamic performance of the gas turbine are met.
For different compressors and the requirements of technicians on characteristic processing, the rotating speed value of an isotachometer and the efficiency value of an isotachometer can be directly modified in an M file in Matlab, the M file is saved and operated, and a high cloud image of the characteristics of the compressors is drawn through fitting the flow, the pressure ratio and the efficiency, so that the analysis and the research on simulation calculation results are facilitated.
The code of the M program is as follows:
the above examples of the present invention are only for describing the calculation model and calculation flow of the present invention in detail, and are not limiting of the embodiments of the present invention. Other variations and modifications of the above description will be apparent to those of ordinary skill in the art, and it is not intended to be exhaustive of all embodiments, all of which are within the scope of the invention.
Claims (2)
1. The method for processing the characteristic data and drawing the characteristic cloud picture of the air compressor is characterized by comprising the following steps of:
firstly, inputting original data into Smooth C software, processing the input original data by using the Smooth C software, and storing and outputting an SMO format data file compression-Characteristics.
The input original data is processed by using Smooth C software, and the method specifically comprises the following steps:
determining the quantity of auxiliary lines beta, and carrying out rounding correction on the rotation speed line pressure ratio and the efficiency data;
copying a path of the data file in the first step into a current Folder in an MATLAB software platform interface, after running a program, obtaining flow, pressure ratio and efficiency matrix data at different rotating speeds, and drawing the obtained data into a FIG format diagram;
step three, a gas turbine performance simulation model is established based on Matlab software, and the established gas turbine performance simulation model automatically calls flow, pressure ratio and efficiency matrix data obtained in the step two;
and based on a two-dimensional interpolation theory, the compressor characteristic efficiency equal-height cloud image required by free interpolation is combined with an equal-rotation speed line to draw a complete compressor characteristic cloud image.
2. The method for processing and drawing characteristic cloud image of compressor according to claim 1, wherein in the first step, the original data input into the smoth C software is MEA format data.
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