CN112417774A - Method and device for identifying rotating stall of compressor and computer equipment - Google Patents
Method and device for identifying rotating stall of compressor and computer equipment Download PDFInfo
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Abstract
The application discloses a method and a device for identifying rotating stall of a compressor and computer equipment, relates to the field of compressor control, and can solve the problem that the rotating stall of the compressor cannot be accurately identified and accurately predicted. The method comprises the following steps: acquiring each rotating speed frequency of the compressor impeller; performing steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve; determining a rotating stall reference point corresponding to each rotating speed frequency through unsteady CFD analysis and Fourier transform analysis based on the flow-pressure ratio characteristic curve; and constructing an early warning reference line by using the rotating stall reference point, and identifying the rotating stall of the compressor based on the early warning reference line. The application is applicable to the identification and control of rotating stall of a compressor.
Description
Technical Field
The present application relates to the field of compressor control, and in particular, to a method and an apparatus for identifying rotating stall of a compressor, and a computer device.
Background
Rotating stall is one of the most common instabilities of compressors. Rotating stall can cause flow conditions in the compressor to deteriorate, the pressure ratio to drop, and the flow and pressure to fluctuate over time. At a certain speed, when the inlet flow rate decreases to a certain value, the unit generates a strong rotating stall which further causes a more dangerous unstable aerodynamic phenomenon of the whole compressor system, i.e. surge. In addition, when the rotating stall occurs, the compressor blade is subjected to a periodic excitation force, and if the frequency of the rotating stall is matched with the natural frequency of the blade, strong vibration is caused, so that the fatigue damage of the blade is caused to cause accidents.
At present, the rotating stall of the compressor cannot be effectively and accurately identified, so that how to combine production practice and effectively early warn the rotating stall in advance in the actual running process of the compressor is realized, the rotating stall phenomenon is avoided, and the problem to be solved at present is solved urgently.
Disclosure of Invention
In view of this, the present application provides a method and an apparatus for identifying rotating stall of a compressor, and a computer device, which mainly solve the problem that the rotating stall of the compressor cannot be accurately and effectively identified.
According to an aspect of the present application, there is provided a method of identifying a rotating stall of a compressor, the method including:
acquiring each rotating speed frequency of the compressor impeller;
performing steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve;
determining a rotating stall reference point corresponding to each rotating speed frequency through unsteady CFD analysis and Fourier transform analysis based on the flow-pressure ratio characteristic curve;
and constructing an early warning reference line by using the rotating stall reference point, and identifying the rotating stall of the compressor based on the early warning reference line.
According to another aspect of the present application, there is provided an apparatus for identifying a rotating stall of a compressor, the apparatus including:
the acquisition module is used for acquiring each rotating speed frequency of the compressor impeller;
the analysis module is used for respectively carrying out steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve;
the determining module is used for determining rotating stall reference points corresponding to the rotating speed frequencies through unsteady CFD analysis and Fourier transform analysis on the basis of the flow-pressure ratio characteristic curve;
and the construction module is used for constructing an early warning datum line by using the rotating stall datum point and identifying the rotating stall of the compressor based on the early warning datum line.
According to yet another aspect of the present application, there is provided a non-transitory readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described method of identifying rotating stall of a compressor.
According to yet another aspect of the present application, there is provided a computer apparatus comprising a non-volatile readable storage medium, a processor and a computer program stored on the non-volatile readable storage medium and executable on the processor, the processor implementing the above method for identifying rotating stall of a compressor when executing the program.
By means of the technical scheme, the method, the device and the computer equipment for identifying the rotating stall of the compressor, which are provided by the application, relate to the field of compressor control, can firstly obtain each rotating speed frequency of the impeller of the compressor in a working state, and further obtain a characteristic curve of the pressure ratio of the compressor changing along with the flow through respectively carrying out steady CFD analysis on each rotating speed frequency. On the basis of the flow-pressure ratio characteristic curve, a preset number of working condition points where rotating stall is likely to occur can be extracted, and a rotating stall reference point when the rotating stall phenomenon corresponds to the maximum flow is extracted by performing unsteady CFD analysis and Fourier transform analysis on the extracted working condition points again. After the rotating stall reference points corresponding to the rotating speed frequencies are extracted, an early warning reference line can be established by using the rotating stall reference points, and the early warning reference line is preset in an alarm control system, so that when the compressor is in actual operation, if the early warning reference line is triggered or is about to be triggered, an alarm is automatically started, and personnel in a control room are prompted to take corresponding measures, so that the rotating stall of the compressor is restrained. According to the technical scheme, the CFD simulation method of the computer technology can be applied, early warning reference points corresponding to all rotating speed frequencies are accurately identified, early warning reference lines are established through the early warning reference points, effective early warning is carried out on the rotating stall phenomenon through the early warning reference lines when the rotating stall phenomenon is at different rotating speed frequencies, and therefore damage to the compressor caused by the rotating stall phenomenon is avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application to the disclosed embodiment. In the drawings:
FIG. 1 is a schematic flow chart illustrating a method for identifying rotating stall in a compressor according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating another method for identifying rotating stall in a compressor according to an embodiment of the present application;
FIG. 3 illustrates an example flow diagram of a compressor rotating stall identification provided by an embodiment of the present application;
FIG. 4 is a schematic structural diagram illustrating an apparatus for identifying rotating stall in a compressor according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram illustrating another apparatus for identifying rotating stall in a compressor according to an embodiment of the present application;
fig. 6 shows a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Aiming at the problem that the rotating stall of the compressor cannot be accurately and effectively identified at present, the embodiment of the application provides an identification method of the rotating stall of the compressor, and as shown in fig. 1, the method comprises the following steps:
101. and acquiring various rotating speed frequencies of the compressor impeller.
In a specific application scene, according to the actual application requirements of a client, the same impeller can correspond to a plurality of rotating speed frequencies in the working process of the compressor. After determining each rotating speed frequency of the compressor impeller, an early warning reference line can be established for each determined rotating speed frequency through the following steps in 102-104, so that effective early warning and identification of the rotating stall phenomenon by a user in the use process of the compressor can be realized through the early warning reference line.
It should be noted that, according to the definition of compressor stages in "centrifugal compressor principle" by qida samshu, mechanical industry press: "one impeller and all the fixed elements cooperating therewith constitute one stage". And definition of compressor stages in "axial compressor principle and pneumatic design" li supper jun yu wen long braids, the publication of the west ampere traffic university: the present application relates to a compressor, which is not limited to a centrifugal compressor, but may include an axial compressor and the like.
For the implementation subject of the application, which can be a compressor rotating stall recognition system, each rotating speed frequency of the compressor impeller in work is obtained in the early warning system, and each flow-pressure ratio characteristic curve is obtained by respectively carrying out steady CFD analysis on each rotating speed frequency; determining rotating stall reference points corresponding to all rotating speed frequencies through unsteady CFD analysis and Fourier transform analysis based on a flow-pressure ratio characteristic curve; and constructing an early warning datum line by using the rotating stall datum point, and storing the early warning datum line in an early warning module so as to effectively monitor and early warn the rotating stall of the compressor based on the early warning datum line in the actual running process of the compressor.
102. And (4) performing steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve.
In the CFD calculation method, the steady CFD analysis is the steady state analysis when the span of the corresponding working condition point is large, and the calculation process does not involve time variables. Therefore, for this embodiment, the flow-pressure ratio characteristic curve with the parameter not changing with time at each rotation speed frequency can be obtained by performing the steady CFD analysis on each rotation speed frequency.
103. And determining rotating stall reference points corresponding to all rotating speed frequencies through unsteady CFD analysis and Fourier transform analysis based on the flow-pressure ratio characteristic curve.
For the embodiment, in a specific application scenario, after a flow-pressure ratio characteristic curve is constructed, a preset number of working condition points where stall may occur may be preliminarily extracted from the flow-pressure ratio characteristic curve, and a rotating stall reference point may be further determined from the extracted working condition points by performing unsteady CFD analysis and fourier transform analysis on the extracted working condition points, where the rotating stall reference point is a reference point when the rotating stall phenomenon corresponds to the maximum flow.
104. And constructing an early warning reference line by using the rotating stall reference point, and identifying the rotating stall of the compressor based on the early warning reference line.
In a specific application scenario, when it is determined that the compressor is about to generate a rotating stall phenomenon according to an early warning reference line, early warning prompt information of the rotating stall can be output, wherein the prompt information can include one or more of character prompt information, picture prompt information, audio prompt information, video prompt information, light prompt information, vibration prompt information and the like.
By the method for identifying the rotating stall of the compressor in the embodiment, each rotating speed frequency of the compressor impeller in the working state can be obtained firstly, and further, a characteristic curve of the pressure ratio of the compressor changing along with the flow can be obtained by performing steady CFD analysis on each rotating speed frequency. On the basis of the flow-pressure ratio characteristic curve, a preset number of working condition points where rotating stall is likely to occur can be extracted, and a rotating stall reference point when the rotating stall phenomenon corresponds to the maximum flow is extracted by performing unsteady CFD analysis and Fourier transform analysis on the extracted working condition points again. After the rotating stall reference points corresponding to the rotating speed frequencies are extracted, an early warning reference line can be established by using the rotating stall reference points, and the early warning reference line is preset in an alarm control system, so that when the compressor is in actual operation, if the early warning reference line is triggered or is about to be triggered, an alarm is automatically started, and personnel in a control room are prompted to take corresponding measures, so that the rotating stall of the compressor is restrained. According to the technical scheme, the CFD simulation method of the computer technology can be applied, early warning reference points corresponding to all rotating speed frequencies are accurately identified, early warning reference lines are established through the early warning reference points, effective early warning is carried out on the rotating stall phenomenon through the early warning reference lines when the rotating stall phenomenon is at different rotating speed frequencies, and therefore damage to the compressor caused by the rotating stall phenomenon is avoided.
Further, as a refinement and an extension of the embodiments of the above embodiments, for fully explaining the implementation process in the present embodiment, another method for identifying rotating stall of a compressor is provided, as shown in fig. 2, and the method includes:
201. and acquiring various rotating speed frequencies of the compressor impeller.
As known from the generation mechanism of rotating stall, the rotating stall mainly generates stall separation clusters in the impeller flow channels by unsteady airflow pulsation inside the impeller machine, and the stall separation clusters sequentially appear in each flow channel of the impeller along the opposite direction of the rotation of the impeller at a certain propagation speed. Therefore, to detect rotating stall, each rotational speed frequency at which the compressor wheel operates may be first obtained.
202. And (4) performing steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve.
In a specific application scenario, each rotating speed frequency can correspondingly generate a flow-pressure ratio characteristic curve, wherein the abscissa of the flow-pressure ratio characteristic curve corresponds to a flow value, and the ordinate corresponds to a pressure ratio value.
203. And extracting a preset number of first working condition points meeting preset conditions based on the flow-pressure ratio characteristic curve.
In this embodiment, in order to reduce the workload of statistics, the preset number may be preferentially set to 7.
For this embodiment, in a specific application scenario, step 203 of the embodiment may specifically include: extracting a first target working condition point corresponding to the maximum pressure ratio value and each second target working condition point which is separated from the first target working condition point by a preset flow interval from the first target working condition point in the flow-pressure ratio characteristic curve; the first target operating point and the second target operating point are determined as first operating points.
Wherein the preset flow intervals may correspond to a plurality of flow intervals, the specific number of the preset flow intervals may be set according to the preset extracted number of the first operating points, and the magnitude of each preset flow interval may be set according to the preset flow difference between adjacent first operating points, for example, when the preset extracted number of the first operating points corresponds to 7, in order to ensure the flow difference between adjacent first operating points to be equal, if the preset flow difference between the first operating points is set to 1%, it may be determined that the preset flow interval with the first target operating point includes ± 1%, ± 2%, and ± 3%, so that after the first target operating point corresponding to the maximum pressure ratio is extracted according to the parabola corresponding to the flow-pressure ratio characteristic curve, the flow value corresponding to the first target operating point may be taken as 100%, the mass flow of the inlet is m, corresponding to the first target operating point m, then, a second target operating point may be extracted according to a preset flow interval of ± 1%: 99% m, 101% m; extracting a second target working condition point according to a preset flow interval of +/-2 percent: 98% m, 102% m; extracting a second target working condition point according to a preset flow interval of +/-3 percent: 97% m, 103% m; the first target working condition point and the second target working condition point are uniformly determined as first working condition points, and then seven first working condition points with flow difference of 1% between adjacent working condition points, namely 97% m, 98% m, 99% m, m, 101% m, 102% m and 103% m, can be obtained.
204. And determining a rotating stall reference point from the first operating point by performing unsteady CFD analysis and Fourier transform analysis on the first operating point.
In a specific application scenario, the embodiment step 204 may specifically include:
and S1, performing unsteady CFD analysis and Fourier transform analysis on the first working condition point to obtain a rotating stall analysis result.
For the embodiment, the rotating stall reference point when the rotating stall phenomenon corresponds to the maximum flow can be determined from the first working condition points by sequentially performing unsteady CFD analysis and fourier transform analysis on each first working condition point. In a specific application scenario, when the compressor rotates and stalls, a relatively obvious stall characteristic frequency appears at a low frequency within a blade pass frequency in a pressure pulsation signal frequency spectrum, and a modulation phenomenon appears at two sides of the blade pass frequency. Therefore, when the rotating stall of the compressor is detected, whether the rotating stall of the compressor occurs can be further determined by detecting whether modulation phenomena occur on two sides of the blade pass frequency in the pressure pulse signal frequency spectrum and comparing the specific characteristic frequency with the amplitude of the blade pass frequency.
Correspondingly, the embodiment step S1 may specifically include: sequentially carrying out unsteady CFD simulation on the first working condition points according to the sequence of the flow values from large to small to obtain pressure signals corresponding to the first working condition points and preset time step lengths; carrying out Fourier transform analysis on the pressure signal to obtain a pressure pulse signal frequency spectrum; according to the leaf-pass frequency in the pressure pulse signal frequency spectrum, carrying out band-pass filtering and envelope demodulation analysis, and detecting whether modulation phenomena occur on two sides of the leaf-pass frequency; if the modulation phenomenon appears on the two sides of the leaf-pass frequency is judged, comparing the specific characteristic frequency with the amplitude of the leaf-pass frequency in the frequency spectrum of the pressure pulsation signal; if the amplitude of the specific characteristic frequency is larger than the amplitude of the blade passing frequency of the preset multiple, the compressor is judged to have rotating stall at the first working condition point; and if the modulation phenomenon does not occur on the two sides of the blade passing frequency, judging that the compressor does not have rotating stall at the first working condition point.
In a specific application scenario, the first operating point is sequentially subjected to non-steady-state CFD simulation according to a flow value sequence from large to small, and a pressure signal corresponding to a preset time step length of the first operating point is obtained, which specifically includes: performing iterative convergence calculation on the first working condition point according to a preset phase parameter of the unsteady CFD simulation; and if the abnormal CFD simulation is judged to reach the convergence state, extracting a pressure value corresponding to the preset time step length by the first working point as a pressure signal. According to the empirical coefficient, the preset time step length can be set to 8192 time steps, the preset phase parameter can take 1 ° in the circumferential direction as 1 phase position corresponding to the phase setting of the unsteady CFD simulation, that is, at least 360 phase positions are set for one rotation of the impeller, and each phase position is at least set to 20 steps for iterative convergence calculation.
Correspondingly, the most obvious characteristic frequency can be extracted from the pressure pulsation signal frequency spectrum through band-pass filtering and envelope demodulation to serve as the stall characteristic frequency, and generally, the most obvious characteristic frequency in the pressure pulsation signal frequency spectrum is the frequency component modulated on two sides of the leaf pass frequency. Analysis shows that before the compressor stalls, frequency components with amplitude larger than 1/3 leaf pass frequency amplitude cannot exist in the low-frequency range of 5 Hz-1/2 rotating speed frequency in the frequency spectrum of the pressure pulsation signal; in the stall range from entering initial stall to surging, a frequency component with the amplitude larger than the 1/3 leaf pass frequency amplitude appears in the low frequency range of 5 Hz-1/2 rotating speed frequency in the frequency spectrum of the pressure pulsation signal, and is usually obvious, and the frequency component is a specific characteristic frequency. Specifically, as for the embodiment in step S1, performing band-pass filtering and envelope demodulation analysis according to the leaf pass frequency in the pressure pulse signal spectrum, and detecting whether a modulation phenomenon occurs on both sides of the leaf pass frequency, the method may specifically include: extracting specific characteristic frequency in the frequency conversion range of 5 Hz-1/2 in the pressure pulse signal frequency spectrum; detecting whether side bands with one characteristic frequency in specific characteristic frequencies as a difference value appear on two sides of the leaf pass frequency; and if the side frequency band appears, determining that modulation phenomena appear on two sides of the leaf pass frequency. Further, if it is determined that modulation occurs on both sides of the leaf-pass frequency, the amplitude of the specific characteristic frequency and the amplitude of the leaf-pass frequency are compared in the pressure pulsation signal frequency spectrum, and if it is determined that the amplitude of the specific characteristic frequency is greater than the amplitude of the leaf-pass frequency of a preset multiple, it is determined that the compressor has rotating stall at the first operating point, where the corresponding preset multiple may refer to the amplitude of the leaf-pass frequency of which the amplitude of the specific characteristic frequency is greater than 1/3 times.
And S2, determining the first working condition point with the maximum flow value corresponding to the rotating stall phenomenon as the rotating stall reference point under the current rotating speed frequency according to the rotating stall analysis result.
For this embodiment, in a specific application scenario, since the rotating stall reference point is a working point when the rotating stall phenomenon corresponds to the maximum flow, in order to save computational resources, when performing unsteady CFD analysis and fourier transform analysis on the first working point and obtaining a rotating stall analysis result, the unsteady CFD simulation may be performed on the first working point in sequence from the flow value to the flow value, and after determining that the first working point with rotating stall occurs, the first working point may be determined as the rotating stall reference point, so that the rotating stall analysis on the first working point with a subsequent smaller flow value is not required to be performed again, the computational workload may be effectively reduced, and the extraction efficiency of the rotating stall reference point is improved.
For example, based on the example of the embodiment step 203, seven first operating points are extracted, which are respectively: 97% m, 98% m, 99% m, m, 101% m, 102% m and 103% m, so that during non-steady CFD analysis and Fourier transform analysis, the flow values corresponding to the first working point can be sequentially analyzed from large to small, namely, the first working point 103% m is analyzed firstly, and if the condition that the compressor has rotating stall at the first working point 103% m is judged, the first working point 103% m can be directly determined as the rotating stall reference point under the current rotating speed frequency, so that the rotating stall analysis of the first working point with other small flow values is not required to be continuously carried out; on the contrary, if it is determined that the compressor does not have rotating stall at the first operating point 103% m, it is necessary to further perform 102% m rotating stall analysis on the first operating point, and when it is determined that the compressor also does not have rotating stall at the first operating point 102% m, it is also necessary to analyze … … the rotating stall condition at the first operating point 101% m, and after performing rotating stall analysis on the first operating points one by one according to the sequence of flow values from large to small, determine the first operating point where the rotating stall phenomenon occurs as the rotating stall reference point at the current rotating speed frequency.
205. And constructing an early warning datum line by using the rotating stall datum points corresponding to the rotating speed frequencies.
For the present embodiment, after the rotation speed frequencies are processed through the embodiment steps 202 and 204, the corresponding rotating stall reference points can be obtained. After the rotating stall reference points corresponding to the rotating speed frequencies are obtained, all the reference points can be connected in a spline curve mode in sequence to further form an alarm reference line, and the early warning reference line is preset in a control system so as to early warn and control the rotating stall phenomenon of the compressor based on the rotating speed frequency and pressure ratio information in the alarm reference line. It should be noted that the spline curve may correspond to multiple curve types, and may be specifically selected by replacement according to an actual application scenario, and in this scheme, the spline curve may be a B-spline curve.
206. And acquiring the operation information of the compressor in real time, and if the rotating speed frequency and the pressure ratio value in the operation information trigger an early warning reference line, judging that the compressor has rotating stall.
For the embodiment, in a specific application scenario, the rotating speed frequency and the pressure ratio of each rotating stall reference point can be marked in the alarm reference line, after the current operation information of the compressor is acquired, the rotating speed frequency and the pressure ratio of the current working condition point in the operation information can be further compared with the marking data of each rotating stall reference point, if the rotating stall reference point which is coincident with the current working condition point is determined to exist, the alarm reference line is judged to be triggered, namely, the rotating stall of the compressor is identified, and the alarm information can be further output.
In a specific application scenario, an example flow diagram of compressor rotating stall identification is shown in fig. 3, a steady CFD analysis may be performed on each rotating speed frequency corresponding to a compressor stage, a flow-pressure ratio characteristic curve corresponding to each rotating speed frequency is obtained through the analysis, a possible stall point with a maximum pressure ratio value is extracted through the flow-pressure ratio characteristic curve, and according to a pressure ratio epsilon and a mass flow m of the possible stall point, 3 working points with a 1% difference in flow are taken before and after the pressure ratio value, so that seven working points are provided, that is, 97% m, 98% m, 99% m, m, 101% m, 102% m, and 103% m. And (3) sequentially carrying out unsteady CFD simulation in the seven points according to the sequence of mass flow from large to small, namely firstly carrying out unsteady CFD simulation on the working condition points of 103% m to obtain pressure signals of the working condition points corresponding to 8192 time steps. And further performing fast Fourier transform on the pressure signal to obtain a Frequency domain result of pressure pulsation, and identifying the Blade Passing Frequency (Blade Passing Frequency) of the working of the impeller. Detecting whether modulation phenomena occur on two sides of a leaf pass frequency or not by performing band-pass filtering and envelope demodulation analysis on the leaf pass frequency in the pressure pulsation signal frequency spectrum; if yes, comparing the specific characteristic frequency and the modulation frequency in the low-frequency range; if the amplitude of the specific characteristic frequency is larger than the amplitude of the blade passing frequency of a preset multiple, the rotating stall of the compressor is determined, rotating stall reference points corresponding to all rotating speed frequencies can be further extracted, and the rotating stall of the compressor is identified and controlled by constructing an alarm reference line.
By the method for identifying the rotating stall of the compressor, each rotating speed frequency of the compressor impeller in the working state can be obtained firstly, and further, a characteristic curve of the pressure ratio of the compressor changing along with the flow can be obtained by performing steady CFD analysis on each rotating speed frequency. On the basis of the flow-pressure ratio characteristic curve, a preset number of working condition points where rotating stall is likely to occur can be extracted, and a rotating stall reference point when the rotating stall phenomenon corresponds to the maximum flow is extracted by performing unsteady CFD analysis and Fourier transform analysis on the extracted working condition points again. After the rotating stall reference points corresponding to the rotating speed frequencies are extracted, an early warning reference line can be established by using the rotating stall reference points, and the early warning reference line is preset in an alarm control system, so that when the compressor is in actual operation, if the early warning reference line is triggered or is about to be triggered, an alarm is automatically started, and personnel in a control room are prompted to take corresponding measures, so that the rotating stall of the compressor is restrained. In the technical scheme, the CFD simulation method applied to the computer technology can accurately identify the early warning reference points corresponding to all the rotating speed frequencies, so that the early warning reference lines are created through the early warning reference points, the rotating stall phenomenon is effectively pre-warned through the early warning reference lines when the rotating speed frequencies are different, and the damage of the rotating stall phenomenon to the compressor is avoided.
Further, as a specific implementation of the method shown in fig. 1 and fig. 2, an embodiment of the present application provides a device for identifying rotating stall of a compressor, as shown in fig. 4, where the device includes: the device comprises an acquisition module 31, an analysis module 32, a determination module 33 and an identification module 34;
an obtaining module 31, configured to obtain each rotational speed frequency at which the compressor impeller operates;
the analysis module 32 is configured to perform a steady CFD analysis on each rotational speed frequency to obtain each flow-pressure ratio characteristic curve;
the determining module 33 is configured to determine a rotating stall reference point corresponding to each rotating speed frequency through unsteady CFD analysis and fourier transform analysis based on the flow-pressure ratio characteristic curve;
the identification module 34 may be configured to establish an early warning reference line by using the rotating stall reference point, and identify rotating stall of the compressor based on the early warning reference line.
In a specific application scenario, in order to determine and obtain a rotating stall reference point corresponding to each rotating speed frequency, as shown in fig. 5, the determining module 33 may specifically include: an extraction unit 331, a determination unit 332;
the extracting unit 331 is configured to extract a preset number of first operating points meeting a preset condition based on the flow-pressure ratio characteristic curve;
a determining unit 332, configured to determine a rotating stall reference point from the first operating point by performing unsteady CFD analysis and fourier transform analysis on the first operating point;
correspondingly, in order to extract a preset number of first operating points meeting preset conditions, the extracting unit 331 is specifically configured to extract a first target operating point corresponding to the maximum pressure ratio and second target operating points separated from the first target operating point by a preset flow interval from the first target operating point in the flow-pressure ratio characteristic curve; the first target operating point and the second target operating point are determined as first operating points.
In a specific application scenario, in order to determine a rotating stall reference point from the first operating point, the determining unit 332 may be specifically configured to perform unsteady CFD analysis and fourier transform analysis on the first operating point to obtain a rotating stall analysis result; and according to the rotating stall analysis result, determining a first working condition point with a largest flow value corresponding to the rotating stall phenomenon as a rotating stall reference point under the current rotating speed frequency.
Correspondingly, in order to obtain the rotating stall analysis result by performing unsteady CFD analysis and fourier transform analysis on the first operating point, the determining unit 332 may be specifically configured to perform unsteady CFD simulation on the first operating point in sequence from a large flow value to a small flow value, and obtain a pressure signal corresponding to the first operating point and having a preset time step; carrying out Fourier transform analysis on the pressure signal to obtain a pressure pulse signal frequency spectrum; according to the leaf-pass frequency in the pressure pulse signal frequency spectrum, carrying out band-pass filtering and envelope demodulation analysis, and detecting whether modulation phenomena occur on two sides of the leaf-pass frequency; if the modulation phenomenon appears on the two sides of the leaf-pass frequency is judged, comparing the specific characteristic frequency with the amplitude of the leaf-pass frequency in the frequency spectrum of the pressure pulsation signal; if the amplitude of the specific characteristic frequency is larger than the amplitude of the blade passing frequency of the preset multiple, the compressor is judged to have rotating stall at the first working condition point; and if the modulation phenomenon does not occur on the two sides of the blade passing frequency, judging that the compressor does not have rotating stall at the first working condition point.
In a specific application scenario, in order to sequentially perform the unsteady CFD simulation on the first operating point according to the flow value from large to small, and obtain a pressure signal corresponding to the first operating point and having a preset time step, the determining unit 332 is specifically configured to perform iterative convergence calculation on the first operating point according to a preset phase parameter of the unsteady CFD simulation; and if the abnormal CFD simulation is judged to reach the convergence state, extracting a pressure value corresponding to the preset time step length by the first working point as a pressure signal.
Correspondingly, in order to perform band-pass filtering and envelope demodulation analysis according to the leaf-pass frequency in the pressure pulse signal frequency spectrum, and detect whether modulation occurs on two sides of the leaf-pass frequency, the determining unit 332 is specifically configured to extract a specific characteristic frequency in the frequency conversion range of 5Hz to 1/2 in the pressure pulse signal frequency spectrum; detecting whether side bands with one characteristic frequency in specific characteristic frequencies as a difference value appear on two sides of the leaf pass frequency; and if the side frequency band appears, determining that modulation phenomena appear on two sides of the leaf pass frequency.
In a specific application scenario, in order to construct an early warning reference line by using a rotating stall reference point to realize identification of rotating stall of the compressor, as shown in fig. 5, the identification module 34 may specifically include: building section 341, determining section 342;
the constructing unit 341 is configured to construct an early warning reference line by using the rotating stall reference points corresponding to the respective rotating speed frequencies;
the construction unit 342 may be configured to collect operation information of the compressor in real time, and determine that the compressor has rotating stall if it is determined that the rotation speed frequency and the pressure ratio in the operation information trigger the early warning reference line.
It should be noted that, other corresponding descriptions of the functional units related to the device for identifying a rotating stall of a compressor according to the embodiment of the present invention may refer to the corresponding descriptions in fig. 1 and fig. 2, and are not repeated herein.
Based on the above-mentioned methods as shown in fig. 1 and fig. 2, correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the following steps: acquiring each rotating speed frequency of the compressor impeller; carrying out steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve; determining rotating stall reference points corresponding to all rotating speed frequencies through unsteady CFD analysis and Fourier transform analysis based on a flow-pressure ratio characteristic curve; and constructing an early warning reference line by using the rotating stall reference point, and identifying the rotating stall of the compressor based on the early warning reference line.
Based on the above embodiments of the method shown in fig. 1 and the apparatus shown in fig. 4, the embodiment of the present invention further provides a computer device, as shown in fig. 6, including a processor (processor)41, a communication Interface (communication Interface)42, a memory (memory)43, and a communication bus 44. Wherein: the processor 41, the communication interface 42, and the memory 43 communicate with each other via a communication bus 44. A communication interface 44 for communicating with network elements of other devices, such as clients or other servers. The processor 41 is configured to execute a program, and may specifically execute the relevant steps in the above-mentioned embodiment of the method for identifying rotating stall of a compressor. In particular, the program may include program code comprising computer operating instructions. The processor 41 may be a central processing unit CPU or a Specific Integrated circuit asic (application Specific Integrated circuit) or one or more Integrated circuits configured to implement an embodiment of the invention.
The terminal comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs. And a memory 43 for storing a program. The memory 43 may comprise a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The program may specifically be adapted to cause the processor 41 to perform the following operations: acquiring each rotating speed frequency of the compressor impeller; carrying out steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve; determining rotating stall reference points corresponding to all rotating speed frequencies through unsteady CFD analysis and Fourier transform analysis based on a flow-pressure ratio characteristic curve; and constructing an early warning reference line by using the rotating stall reference point, and identifying the rotating stall of the compressor based on the early warning reference line.
According to the method, the device and the computer equipment for identifying the rotating stall of the compressor, provided by the embodiment of the invention, each rotating speed frequency of the impeller of the compressor in a working state can be obtained firstly, and further, the characteristic curve of the pressure ratio of the compressor changing along with the flow can be obtained by performing steady CFD analysis on each rotating speed frequency. On the basis of the flow-pressure ratio characteristic curve, a preset number of working condition points where rotating stall is likely to occur can be extracted, and a rotating stall reference point when the rotating stall phenomenon corresponds to the maximum flow is extracted by performing unsteady CFD analysis and Fourier transform analysis on the extracted working condition points again. After the rotating stall reference points corresponding to the rotating speed frequencies are extracted, an early warning reference line can be established by using the rotating stall reference points, and the early warning reference line is preset in an alarm control system, so that when the compressor is in actual operation, if the early warning reference line is triggered or is about to be triggered, an alarm is automatically started, and personnel in a control room are prompted to take corresponding measures, so that the rotating stall of the compressor is restrained. According to the technical scheme, the CFD simulation method of the computer technology can be applied, early warning reference points corresponding to all rotating speed frequencies are accurately identified, early warning reference lines are established through the early warning reference points, effective early warning is carried out on the rotating stall phenomenon through the early warning reference lines when the rotating stall phenomenon is at different rotating speed frequencies, and therefore damage to the compressor caused by the rotating stall phenomenon is avoided.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the method and apparatus described above are referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the target map generation apparatus according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A method of identifying rotating stall in a compressor, comprising:
acquiring each rotating speed frequency of the compressor impeller;
performing steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve;
determining a rotating stall reference point corresponding to each rotating speed frequency through unsteady CFD analysis and Fourier transform analysis based on the flow-pressure ratio characteristic curve;
and constructing an early warning reference line by using the rotating stall reference point, and identifying the rotating stall of the compressor based on the early warning reference line.
2. The method according to claim 1, wherein the determining a rotating stall reference point corresponding to each of the rotating speed frequencies based on the flow-pressure ratio characteristic curve through non-stationary CFD analysis and fourier transform analysis specifically comprises:
extracting a preset number of first working condition points meeting preset conditions based on the flow-pressure ratio characteristic curve;
determining a rotating stall reference point from the first operating point by performing unsteady CFD analysis and Fourier transform analysis on the first operating point;
the extracting of the preset number of first operating points meeting the preset condition based on the flow-pressure ratio characteristic curve specifically includes:
extracting a first target working condition point corresponding to the maximum pressure ratio value and each second target working condition point which is away from the first target working condition point by a preset flow interval from the first target working condition point from the flow-pressure ratio characteristic curve;
determining the first target operating point and the second target operating point as first operating points.
3. The method of claim 2, wherein determining a rotating stall reference point from the first operating point by performing an unsteady CFD analysis and a fourier transform analysis on the first operating point comprises:
performing unsteady CFD analysis and Fourier transform analysis on the first working condition point to obtain a rotating stall analysis result;
and determining a first working condition point with a maximum flow value corresponding to the rotating stall phenomenon as a rotating stall reference point under the current rotating speed frequency according to the rotating stall analysis result.
4. The method according to claim 3, wherein the performing unsteady CFD analysis and Fourier transform analysis on the first operating point to obtain the rotating stall analysis result specifically comprises:
sequentially carrying out unsteady CFD simulation on the first working condition points according to the sequence of the flow values from large to small to obtain pressure signals corresponding to the first working condition points and preset time step lengths;
carrying out Fourier transform analysis on the pressure signal to obtain a pressure pulse signal frequency spectrum;
according to the leaf-pass frequency in the pressure pulse signal frequency spectrum, carrying out band-pass filtering and envelope demodulation analysis, and detecting whether modulation phenomena occur on two sides of the leaf-pass frequency;
if the modulation phenomenon appears on the two sides of the leaf-pass frequency, comparing the specific characteristic frequency with the amplitude of the leaf-pass frequency in the pressure pulsation signal frequency spectrum;
if the amplitude of the specific characteristic frequency is determined to be larger than the amplitude of the blade passing frequency of a preset multiple, judging that the compressor has rotating stall at the first working condition point;
and if the modulation phenomenon is not generated on the two sides of the blade passing frequency, judging that the compressor does not generate rotating stall at the first working condition point.
5. The method according to claim 4, wherein the step of sequentially performing the unsteady CFD simulation on the first operating point according to the flow values from large to small to obtain the pressure signal corresponding to the preset time step length at the first operating point specifically comprises:
performing iterative convergence calculation on the first working condition point according to a preset phase parameter of unsteady CFD simulation;
and if the unsteady CFD simulation is judged to reach the convergence state, extracting a pressure value corresponding to the first working point and having a preset time step as a pressure signal.
6. The method according to claim 5, wherein the performing band-pass filtering and envelope demodulation analysis according to a leaf-pass frequency in the frequency spectrum of the pressure pulse signal to detect whether modulation occurs on both sides of the leaf-pass frequency specifically comprises:
extracting specific characteristic frequency in the frequency conversion range of 5 Hz-1/2 in the pressure pulse signal frequency spectrum;
detecting whether side bands with one characteristic frequency in the specific characteristic frequencies as a difference value appear on two sides of the leaf pass frequency;
and if the side frequency band appears, determining that modulation phenomena appear on two sides of the leaf pass frequency.
7. The method according to claim 6, wherein the constructing of the early warning reference line by using the rotating stall reference point and the identifying of the rotating stall of the compressor based on the early warning reference line specifically comprise:
constructing an early warning datum line by using the rotating stall datum points corresponding to the rotating speed frequencies;
and acquiring the operation information of the compressor in real time, and if the rotating speed frequency and the pressure ratio value in the operation information are determined to trigger the early warning datum line, judging that the compressor has rotating stall.
8. An apparatus for identifying a rotating stall in a compressor, comprising:
the acquisition module is used for acquiring each rotating speed frequency of the compressor impeller;
the analysis module is used for respectively carrying out steady CFD analysis on each rotating speed frequency to obtain each flow-pressure ratio characteristic curve;
the determining module is used for determining rotating stall reference points corresponding to the rotating speed frequencies through unsteady CFD analysis and Fourier transform analysis on the basis of the flow-pressure ratio characteristic curve;
and the identification module is used for constructing an early warning reference line by using the rotating stall reference point and identifying the rotating stall of the compressor based on the early warning reference line.
9. A non-transitory readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the method for identifying rotating stall of a compressor according to any one of claims 1 to 7.
10. A computer device comprising a non-volatile readable storage medium, a processor and a computer program stored on the non-volatile readable storage medium and executable on the processor, characterized in that the processor implements the method for identifying rotating stall of a compressor according to any one of claims 1 to 7 when executing the program.
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