CN111159909A - Gas compressor characteristic data processing and characteristic cloud picture drawing method - Google Patents
Gas compressor characteristic data processing and characteristic cloud picture drawing method Download PDFInfo
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Abstract
A method for processing characteristic data of a gas compressor and drawing a characteristic cloud chart belongs to the technical field of gas turbines. The invention solves the problem that the real-time data call between a Matlab software platform and Smooth C software cannot be realized by the conventional method. The method comprehensively utilizes the advantages of precise interpolation and data processing of Smooth C software on the characteristic line of the air compressor and the advantages of a Matlab software platform on data processing. After SMO format characteristic data are output by using Smooth C, an M program compiled by a Matlab software platform converts the SMO format characteristic data into characteristic flow, pressure ratio and efficiency matrix data; and then, a gas turbine performance simulation model characteristic module established based on a Matlab software platform automatically calls data seamlessly, 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 method can be applied to the processing of the characteristic data of the compressor and the drawing of the characteristic cloud chart.
Description
Technical Field
The invention relates to the technical field of gas turbines, in particular to a method for processing characteristic data of a gas compressor and drawing a characteristic cloud chart.
Background
The characteristics of the compressor are particularly important for modeling simulation of the gas turbine, and the processing of the characteristics of the compressor is always a relatively tedious work for a modeling worker. The conventional method for processing the characteristics of the gas compressor is usually realized by manually adding an auxiliary line, and due to the fact that data are various, manual processing is not only complicated, but also the point selection precision is low, and the simulation calculation precision of the gas turbine is low.
The compressor characteristic processing software smoothC can automatically add an auxiliary line to the compressor characteristic data, discretize the data, Smooth the characteristic data, add an equal rotating speed line in an interpolation mode, and achieve high-precision data point interpolation and output. However, the program code of the Smooth C software is closed, and there is no data interaction interface with the Matlab software platform, the generated data cannot be directly called by the gas turbine simulation model, and a compressor characteristic cloud map that can be directly called by the Matlab software platform cannot be generated, so that real-time data calling between the Matlab software platform and the Smooth C software cannot be realized, and a post-processing program for use between the Matlab software platform and the Smooth C software is urgently needed.
Disclosure of Invention
The invention aims to solve the problem that the real-time data calling between a Matlab software platform and Smooth C software cannot be realized by the conventional method, and provides a method for processing characteristic data of a gas compressor and drawing a characteristic cloud chart.
The technical scheme adopted by the invention for solving the technical problems is as follows: a compressor characteristic data processing and characteristic cloud picture drawing method comprises the following steps:
step one, recording original data into Smooth C software, processing the recorded original data by utilizing the Smooth C software, and storing and outputting a data file in an SMO format, namely, a Compressor-characteristics.
Copying a path where the data file is output in the first step to a current Folder in an MATLAB software platform interface, obtaining flow, pressure ratio and efficiency matrix data at different rotating speeds after running a program, and drawing the obtained data into an FIG format diagram;
step three, establishing a gas turbine performance simulation model based on Matlab software, and automatically calling the flow, pressure ratio and efficiency matrix data obtained in the step two by the established gas turbine performance simulation model;
and then based on a two-dimensional interpolation theory, freely interpolating required high cloud maps of the characteristic efficiency of the gas compressor, merging and drawing the high cloud maps of the characteristic efficiency of the gas compressor and the equal rotation speed line, and drawing a complete cloud map of the characteristic of the gas compressor.
The invention has the beneficial effects that: the invention provides a method for processing characteristic data of a gas compressor and drawing a characteristic cloud picture, which comprehensively utilizes the advantages of precise interpolation and data processing of Smooth C software on a characteristic line of the gas compressor and the advantages of a Matlab software platform on data processing. After SMO format characteristic data are output by using Smooth C, an M program compiled by a Matlab software platform converts the SMO format characteristic data into characteristic flow, pressure ratio and efficiency matrix data; and then, a gas turbine performance simulation model characteristic module established based on a Matlab software platform automatically calls data seamlessly, 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 of a Smooth C compressor characterization process based on the auxiliary line β line;
FIG. 3 is a diagram of a MATLAB software platform interface screenshot;
FIG. 4 is an interface screenshot of a compressor characteristic data processing and characteristic cloud drawing program;
FIG. 5 is a characteristic flow-to-pressure ratio diagram for a compressor;
in the figure: n represents the rotation speed;
FIG. 6 is a compressor flow-efficiency graph;
FIG. 7 is a schematic illustration of the selection and display of isoefficiency line values;
FIG. 8 is a compressor map of the compressor behavior plotted on the MATLAB software platform.
Detailed Description
The first embodiment is as follows: the method for processing characteristic data of the gas compressor and drawing the characteristic cloud chart comprises the following steps:
step one, as shown in fig. 1, recording original data into a Smooth C software, processing the recorded original data by using the Smooth C software, and storing and outputting a SMO format data file, Compressor-characteristics.
Copying a path where the data file is output in the first step to a current Folder in an MATLAB software platform interface, obtaining flow, pressure ratio and efficiency matrix data at different rotating speeds after running a program, and drawing the obtained data into an FIG format diagram;
copying a path of the SMO format data file to a current Folder in an MATLAB software platform interface, and as shown in FIG. 3, enabling a file contained in the calculation software to appear at the left part of the MATLAB software platform;
opening a Compressor _ testing.m file, copying a Compressor-characteristics.SMO into a file "fid 1 ═ fopen ('Compressor-characteristics.SMO', 'r')," namely copying into a black solid frame in FIG. 4, and clicking Run;
after the program is run, three mat files, namely "data _ G", "data _ pi" and "data _ lv" appear in the works space of the MATLAB software, and are respectively data based on the flow rate, the pressure ratio and the efficiency of the auxiliary line β at equal rotation speed, and are drawn into a FIG format chart, as shown in fig. 5 and 6.
Step three, establishing a gas turbine performance simulation model based on Matlab software, and automatically calling the flow, pressure ratio and efficiency matrix data obtained in the step two by the established gas turbine performance simulation model;
and then based on a two-dimensional interpolation theory, freely interpolating required high cloud maps of the characteristic efficiency of the gas compressor, merging and drawing the high cloud maps of the characteristic efficiency of the gas compressor and the equal rotation speed line, and drawing a complete cloud map of the characteristic of the gas compressor.
The characteristic module of the gas turbine performance simulation model established based on the Matlab software platform is automatically called seamlessly, so that the rapid processing and seamless calling of the characteristics of the gas compressor can be realized, and the performance simulation calculation evaluation of the gas turbine can be rapidly carried out;
after the program is run, a characteristic efficiency cloud picture and a cross cursor appear, as shown in fig. 7, clicking an equal efficiency line to be displayed, and then, a value of an efficiency ring appears at a position where the cross cursor is clicked, and after determining an efficiency line and a value which need to be displayed, pressing a enter key, and drawing a compressor characteristic cloud picture, as shown in fig. 8, is completed.
The second embodiment is as follows: the first difference between the present embodiment and the specific embodiment is: in the first step, the original data recorded into the Smooth C software is MEA format data.
The third concrete implementation mode: the first difference between the present embodiment and the specific embodiment is: in the first step, the Smooth C software is used for processing the input original data, and the method specifically comprises the following steps:
the number of lines of the auxiliary line β is determined, and the revolution speed-to-linear pressure ratio and the efficiency data are rounded as shown in fig. 2.
The invention utilizes the advantages of Smooth C software on the accurate interpolation of the characteristic line of the compressor and the data processing and the advantages of the Matlab software platform on the data processing.
The SMO format characteristic data is output by using 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 a gas turbine performance simulation model characteristic module established based on the Matlab software platform is automatically called seamlessly, so that the rapid processing and seamless calling of the gas compressor characteristics can be realized, and the performance simulation calculation evaluation of the gas turbine can be rapidly carried out; based on a two-dimensional interpolation theory, the high-altitude cloud pictures of the characteristic efficiency of the gas compressor required by free interpolation can be freely interpolated, the numerical values of the high-altitude cloud pictures can be freely displayed on a cloud picture line, and the high-altitude cloud pictures and the equal rotation speed line are combined and drawn to draw a complete cloud picture of the characteristic curve of the gas compressor. The method completes the rapid and automatic processing of the characteristics of the compressor and the rapid drawing of the characteristic cloud chart, and overcomes the defects of complexity, time consumption and the like of the characteristic processing of the conventional 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 using Smooth C software, and the advantage of Matlab software on data processing is also realized. And intelligent and automatic characteristic processing is performed on different gas compressors.
After the compressor data obtained by Smooth C is processed, the flow, pressure ratio and efficiency value of the compressor at different rotating speeds can be obtained, the characteristics of the compressor based on the auxiliary line β are more accurate, simulation modeling can be directly called, and the model requirements of the steady-state performance and the dynamic performance of the gas turbine are met.
For different gas compressors and requirements of technicians on characteristic processing, the rotating speed value of an equal rotating speed line and the efficiency value of an equal efficiency line can be directly modified in an M file in Matlab, the M file is stored for operation, and a gas compressor characteristic equal cloud picture is drawn through fitting of flow, pressure ratio and efficiency, so that analysis and research on simulation calculation results are facilitated.
The code of the M program is as follows:
the above-described calculation examples of the present invention are merely to explain the calculation model and the calculation flow of the present invention in detail, and are not intended to limit the embodiments of the present invention. It will be apparent to those skilled in the art that other variations and modifications of the present invention can be made based on the above description, and it is not intended to be exhaustive or to limit the invention to the precise form disclosed, and all such modifications and variations are possible and contemplated as falling within the scope of the invention.
Claims (3)
1. A compressor characteristic data processing and characteristic cloud picture drawing method is characterized by comprising the following steps:
step one, recording original data into Smooth C software, processing the recorded original data by utilizing the Smooth C software, and storing and outputting a data file in an SMO format, namely, a Compressor-characteristics.
Copying a path where the data file is output in the first step to a currentFolder in an MATLAB software platform interface, obtaining flow, pressure ratio and efficiency matrix data at different rotating speeds after running a program, and drawing the obtained data into an FIG format diagram;
step three, establishing a gas turbine performance simulation model based on Matlab software, and automatically calling the flow, pressure ratio and efficiency matrix data obtained in the step two by the established gas turbine performance simulation model;
and then based on a two-dimensional interpolation theory, freely interpolating required high cloud maps of the characteristic efficiency of the gas compressor, merging and drawing the high cloud maps of the characteristic efficiency of the gas compressor and the equal rotation speed line, and drawing a complete cloud map of the characteristic of the gas compressor.
2. The compressor characteristic data processing and characteristic cloud mapping method according to claim 1, wherein in the first step, raw data recorded in Smooth C software is MEA format data.
3. The compressor characteristic data processing and characteristic cloud map drawing method according to claim 1, wherein in the first step, the recorded original data is processed by Smooth C software, and specifically:
the number of lines of the auxiliary line β is determined, and the revolution speed-to-linear pressure ratio and the efficiency data are rounded.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113297706A (en) * | 2021-04-22 | 2021-08-24 | 西北工业大学 | Method for predicting efficiency point of each rotating speed peak value of gas compressor according to design index |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793554A (en) * | 2013-12-26 | 2014-05-14 | 广西科技大学 | Air compressor frame structure evaluation method |
| US20140153628A1 (en) * | 2012-12-03 | 2014-06-05 | Digital PowerRadio, LLC | Systems and methods for advanced iterative decoding and channel estimation of concatenated coding systems |
| US20150134313A1 (en) * | 2013-11-08 | 2015-05-14 | Rockwell Automation Technologies, Inc. | Time synchronization of signal transmission intervals for simulating a machine in industrial automation |
| CN107145693A (en) * | 2017-06-27 | 2017-09-08 | 中国航空工业集团公司沈阳飞机设计研究所 | The dynamic measurement method of the irregular fuel tank fuel quantity of aircraft |
| CN107313861A (en) * | 2017-08-17 | 2017-11-03 | 青岛格莱瑞智能控制技术有限公司 | The Robust adaptive controller of Gas Turbine Generating Units |
| CN107526875A (en) * | 2017-07-31 | 2017-12-29 | 电子科技大学 | A kind of aerial blade type face mismachining tolerance method for visualizing |
| WO2018178809A1 (en) * | 2017-03-28 | 2018-10-04 | Bundesamt Für Zivilluftfahrt | Noise level simulation method as well as computer readable medium and system therefore |
| CN108920842A (en) * | 2018-07-05 | 2018-11-30 | 中国船舶重工集团公司第七〇九研究所 | A kind of submarine kinetic parameters On-line Estimation method and device |
| CN110442956A (en) * | 2019-07-31 | 2019-11-12 | 中国航发沈阳发动机研究所 | A kind of gas turbine component grade emulation mode |
-
2019
- 2019-12-31 CN CN201911418955.8A patent/CN111159909B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140153628A1 (en) * | 2012-12-03 | 2014-06-05 | Digital PowerRadio, LLC | Systems and methods for advanced iterative decoding and channel estimation of concatenated coding systems |
| US20150134313A1 (en) * | 2013-11-08 | 2015-05-14 | Rockwell Automation Technologies, Inc. | Time synchronization of signal transmission intervals for simulating a machine in industrial automation |
| CN103793554A (en) * | 2013-12-26 | 2014-05-14 | 广西科技大学 | Air compressor frame structure evaluation method |
| WO2018178809A1 (en) * | 2017-03-28 | 2018-10-04 | Bundesamt Für Zivilluftfahrt | Noise level simulation method as well as computer readable medium and system therefore |
| CN107145693A (en) * | 2017-06-27 | 2017-09-08 | 中国航空工业集团公司沈阳飞机设计研究所 | The dynamic measurement method of the irregular fuel tank fuel quantity of aircraft |
| CN107526875A (en) * | 2017-07-31 | 2017-12-29 | 电子科技大学 | A kind of aerial blade type face mismachining tolerance method for visualizing |
| CN107313861A (en) * | 2017-08-17 | 2017-11-03 | 青岛格莱瑞智能控制技术有限公司 | The Robust adaptive controller of Gas Turbine Generating Units |
| CN108920842A (en) * | 2018-07-05 | 2018-11-30 | 中国船舶重工集团公司第七〇九研究所 | A kind of submarine kinetic parameters On-line Estimation method and device |
| CN110442956A (en) * | 2019-07-31 | 2019-11-12 | 中国航发沈阳发动机研究所 | A kind of gas turbine component grade emulation mode |
Non-Patent Citations (2)
| Title |
|---|
| LUCIAN N. TUTELEA等: "《2/4-POLE Split-Phase Capacitor Motor for Small Compressors: A Comprehensive Motor Characterization》" * |
| 李顶根;何春萌: "《压燃/低温燃烧柴油机进气系统鲁棒滑模控制》" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113297706A (en) * | 2021-04-22 | 2021-08-24 | 西北工业大学 | Method for predicting efficiency point of each rotating speed peak value of gas compressor according to design index |
| CN113297706B (en) * | 2021-04-22 | 2023-02-21 | 西北工业大学 | Method for predicting efficiency point of each rotating speed peak value of gas compressor according to design index |
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