Axial flow compressor performance parameter prediction method and device, storage medium and equipment

Abstract

The invention provides an axial flow compressor performance parameter prediction method and device, a storage medium and equipment, belongs to the technical field of axial flow compressors, and is used for solving the problem that the axial flow compressor performance parameter prediction flexibility is insufficient. The axial flow compressor performance parameter prediction method comprises the following steps: acquiring a flow-pressure ratio-angle three-dimensional data model of an axial flow compressor at different rotating speeds to establish a rotating speed-flow-pressure ratio-angle four-dimensional array; acquiring a flow-efficiency-angle three-dimensional data model of the axial flow compressor at different rotating speeds to establish a rotating speed-flow-efficiency-angle four-dimensional array; and according to the rotating speed-flow-pressure ratio-angle four-dimensional array and the rotating speed-flow-efficiency-angle four-dimensional array, a rotating speed-angle-efficiency three-dimensional curve of the axial flow compressor under the required flow and pressure ratio is established, and an efficient point is obtained. According to the axial flow compressor performance parameter prediction method and device and the storage medium, the equipment flexibility is high, and the accuracy is high.

Description

Technical Field

[0001] The present invention belongs to the technical field of axial flow compressors, and in particular relates to a method and device for predicting performance parameters of an axial flow compressor, a storage medium, and equipment. Background Art

[0002] Axial compressors achieve the required flow rate and pressure ratio by adjusting the speed and blade angle. In order to save the cost of using the compressor and reduce energy consumption, the operating efficiency must be considered on the premise of achieving the required flow rate and pressure ratio. When using a large compressor, first determine the required flow rate and pressure ratio, and then determine the corresponding speed and blade angle (angle for short) based on the required flow rate and pressure ratio. At present, the compressor performance data sheet is usually established through the preliminary technical specifications. The data sheet contains at least five dimensions of data, namely flow rate, speed, angle, pressure ratio and efficiency. The remaining parameters, such as power, torque, etc., can be calculated through the five specific values ​​of flow rate, speed, angle, pressure ratio and efficiency; before using the axial compressor each time, first determine the flow rate and pressure ratio of the axial compressor, and then consult the axial compressor performance data sheet based on the determined flow rate and pressure ratio to obtain the corresponding speed, angle and efficiency. This method has the following problems: 1) Lack of flexibility: when the flow rate and pressure ratio of the axial compressor need to be changed or the highest efficiency point needs to be found, this method cannot directly give the corresponding speed and angle; 2) Limited accuracy: Since the axial compressor data sheet is based on limited data points, there may be large errors when predicting performance under new operating conditions; 3) Poor adaptability: As the axial compressor is used for a longer time, its performance may change, and traditional data sheets cannot reflect these changes in a timely manner. Summary of the invention

[0003] Therefore, the technical problem to be solved by the present invention is to provide a method and device, storage medium, and equipment for predicting the performance parameters of an axial flow compressor, which can predict the performance parameters of the axial flow compressor in real time according to the operating conditions input by the user.

[0004] In a first aspect, the present invention provides a method for predicting performance parameters of an axial flow compressor, the method comprising the following steps:

[0005] According to the axial compressor performance data table, a flow-pressure ratio-angle three-dimensional data model of the axial compressor at the speed n1 is established;

[0006] Obtaining a flow-pressure ratio-angle three-dimensional data model of an axial compressor at different speeds to establish a speed-flow-pressure ratio-angle four-dimensional array;

[0007] According to the axial compressor performance data table, a flow-efficiency-angle three-dimensional data model of the axial compressor at the speed n1 is established;

[0008] Obtain the flow-efficiency-angle three-dimensional data model of the axial compressor at different speeds to establish a speed-flow-efficiency-angle four-dimensional array;

[0009] According to the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array, the speed-angle-efficiency three-dimensional curve of the axial flow compressor at the required flow and pressure ratio is established, and the high-efficiency point is obtained.

[0010] Optionally, the method further comprises:

[0011] According to the operating data of the axial flow compressor, data increment processing is performed on the axial flow compressor performance data table.

[0012] Optionally, according to the axial compressor performance data table, a flow-pressure ratio-angle three-dimensional data model of the axial compressor at the speed n1 is established; including:

[0013] Obtain the corresponding relationship between flow rate and pressure ratio of the axial flow compressor at speed n1 and angle ω1;

[0014] Through the interpolation method, a two-dimensional flow-pressure ratio curve is formed at the speed n1 and the angle ω1;

[0015] Obtain the flow-pressure ratio two-dimensional curve of the axial compressor at different angles at the speed n1;

[0016] The two-dimensional flow-pressure ratio curves at different angles are fitted with data to form a three-dimensional data model of flow-pressure ratio-angle at the rotation speed n1.

[0017] Optionally, a flow-pressure ratio-angle three-dimensional data model of the axial compressor at different speeds is obtained to establish a speed-flow-pressure ratio-angle four-dimensional array; including:

[0018] Obtain the flow-pressure ratio-angle three-dimensional data model of the axial compressor at different speeds;

[0019] The flow-pressure ratio-angle three-dimensional data models at different speeds are integrated to form a four-dimensional array of speed-flow-pressure ratio-angle.

[0020] Optionally, according to the axial compressor performance data table, a flow-efficiency-angle three-dimensional data model of the axial compressor at the speed n1 is established; including:

[0021] Obtain the corresponding relationship between flow rate and efficiency of the axial flow compressor at the speed n1 and the angle ω1;

[0022] Through interpolation, a two-dimensional flow-efficiency curve is formed at the speed n1 and angle ω1;

[0023] Obtain the flow-efficiency two-dimensional curve of the axial compressor at different angles at the speed n1;

[0024] The two-dimensional flow-efficiency curves at different angles are fitted with data to form a three-dimensional data model of flow-efficiency-angle at the speed n1.

[0025] Optionally, a flow-efficiency-angle three-dimensional data model of the axial compressor at different speeds is obtained to establish a speed-flow-efficiency-angle four-dimensional array; including:

[0026] Obtain the flow-efficiency-angle three-dimensional data model of the axial compressor at different speeds;

[0027] The three-dimensional data models of flow rate, efficiency and angle at different speeds are integrated to form a four-dimensional array of speed-flow rate, efficiency and angle.

[0028] Optionally, according to the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array, a speed-angle-efficiency three-dimensional curve of the axial flow compressor at the required flow rate and pressure ratio is established, and the high efficiency point is obtained; including:

[0029] According to the four-dimensional array of speed-flow-pressure ratio-angle, the angle required for each speed to meet the required flow and pressure ratio conditions is obtained;

[0030] According to the four-dimensional array of speed-flow-efficiency-angle, obtain the corresponding efficiency at each speed when the required flow and angle are met;

[0031] Through interpolation, a three-dimensional curve of speed-angle-efficiency is formed;

[0032] Get the highest point of the three-dimensional curve, which is the efficient point.

[0033] In a second aspect, the present invention provides an axial flow compressor performance parameter prediction device, comprising:

[0034] Input module, used to input the required flow rate and pressure ratio;

[0035] A generation module, for generating a speed-angle-efficiency three-dimensional curve according to a speed-flow-pressure ratio-angle four-dimensional array, a speed-flow-efficiency-angle four-dimensional array, and required flow and pressure ratio;

[0036] Output module, used to output speed-angle-efficiency three-dimensional curve and high efficiency point.

[0037] In a third aspect, the present invention provides a storage medium having a computer program stored thereon, and the computer program implements the above method when executed by a processor.

[0038] In a fourth aspect, the present invention provides a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the above method is implemented when the processor executes the computer program.

[0039] Beneficial Effects

[0040] The axial flow compressor performance parameter prediction method, device, storage medium, and equipment provided by the present invention establish a speed-flow-pressure ratio-angle four-dimensional array and a speed-flow-efficiency-angle four-dimensional array according to the axial flow compressor performance data table; then, according to the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array, obtain the speed-angle-efficiency three-dimensional curve under the required flow and pressure ratio conditions, and obtain the high efficiency point. The axial flow compressor performance parameter prediction method, device, storage medium, and equipment of the present application are highly flexible and can predict the corresponding speed, angle, and efficiency in real time according to the required flow and pressure ratio working conditions input by the user without relying on a fixed data table. The axial flow compressor performance parameter prediction method, device, storage medium, and equipment of the present application are highly accurate. By establishing a data model, the performance parameters of the axial flow compressor under given working conditions can be more accurately predicted. The axial flow compressor performance parameter prediction method, device, storage medium, and equipment of the present application are highly scalable and are not only suitable for large axial flow compressors, but can also be extended to other types of compressor performance prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of a flow chart of a method for predicting performance parameters of an axial flow compressor according to an embodiment of the present invention;

[0042] Figure 2 A schematic flow chart of a method for predicting performance parameters of an axial compressor according to a second embodiment of the present invention;

[0043] Figure 3 A schematic flow chart of a method for predicting performance parameters of an axial flow compressor according to a third embodiment of the present invention;

[0044] Figure 4 A schematic flow chart of a method for predicting performance parameters of an axial flow compressor according to a fourth embodiment of the present invention;

[0045] Figure 5 A schematic flow chart of a method for predicting performance parameters of an axial flow compressor according to a fifth embodiment of the present invention;

[0046] Figure 6 A schematic flow chart of a method for predicting performance parameters of an axial flow compressor according to a sixth embodiment of the present invention;

[0047] Figure 7A schematic flow chart of a method for predicting performance parameters of an axial flow compressor according to a seventh embodiment of the present invention;

[0048] Figure 8 It is a schematic diagram of the flow-pressure ratio two-dimensional curve at different angles at n1 speed;

[0049] Fig. 9 It is a schematic diagram of the angle-flow-pressure ratio three-dimensional data model at the speed of n1;

[0050] Fig.10 It is a schematic diagram of the four-dimensional array of speed-flow-pressure ratio-angle;

[0051] Fig.11 It is a schematic diagram of the flow-efficiency two-dimensional curve at different angles at the speed n1;

[0052] Fig.12 It is a schematic diagram of the angle-flow-efficiency three-dimensional data model at the speed of n1;

[0053] Fig.13 It is a schematic diagram of the four-dimensional array of speed-flow-efficiency-angle;

[0054] Fig.14 It is a schematic diagram of the three-dimensional curve of speed-angle-efficiency;

[0055] Fig.15 for Fig.14 Projection on the speed-efficiency coordinate plane;

[0056] Fig.16 for Fig.14 Projection on the angle-efficiency coordinate plane;

[0057] Fig.17 for Fig.14 Projection on the speed-angle coordinate plane;

[0058] Fig.18 A schematic diagram of the structure of an axial flow compressor performance parameter prediction device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0060] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0061] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0062] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0063] In a first aspect, this embodiment provides a method for predicting performance parameters of an axial compressor. Figure 1 A schematic flow chart of the method for predicting performance parameters of an axial flow compressor provided in this embodiment.

[0064] like Figure 1 As shown, the axial flow compressor performance parameter prediction method of this embodiment includes the following steps:

[0065] S1. According to the axial flow compressor performance data table, establish the axial flow compressor at the speed n1, flow - pressure ratio - angle three-dimensional data model;

[0066] Specifically, the flow-pressure ratio-angle three-dimensional data model of the axial compressor at the speed n1 is as follows: Fig. 9 According to the flow-pressure ratio-angle three-dimensional data model at the speed n1, the required blade angle under the conditions of the required flow and pressure ratio can be obtained when the speed is n1.

[0067] S2. Obtain the flow-pressure ratio-angle three-dimensional data model of the axial compressor at different speeds to establish a speed-flow-pressure ratio-angle four-dimensional array;

[0068] Specifically, the four-dimensional array of speed-flow-pressure ratio-angle is as follows Fig.10As shown. The four-dimensional array of speed-flow-pressure ratio-angle in the figure integrates the three-dimensional data models of flow-pressure ratio-angle at three speeds of n1, n2, and n3. However, it can be understood that in other embodiments, the four-dimensional array of speed-flow-pressure ratio-angle can integrate the three-dimensional data models of flow-pressure ratio-angle at four or more different speeds. According to the four-dimensional array of speed-flow-pressure ratio-angle, the blade angle required for different speeds under the conditions of the required flow and pressure ratio can be obtained.

[0069] S3. According to the axial flow compressor performance data table, establish an axial flow compressor at a speed n1, flow - efficiency - angle three-dimensional data model;

[0070] Specifically, the flow-efficiency-angle three-dimensional data model of the axial compressor at the speed n1 is as follows: Fig.12 According to the flow-efficiency-angle three-dimensional data model at the speed n1, the operating efficiency under the conditions of determining the required flow and angle when the speed is n1 can be obtained.

[0071] S4. Obtaining a flow-efficiency-angle three-dimensional data model of an axial compressor at different speeds to establish a speed-flow-efficiency-angle four-dimensional array;

[0072] Specifically, the four-dimensional array of speed-flow-efficiency-angle is as follows Fig.13 As shown. The speed-flow-efficiency-angle four-dimensional array in the figure is a flow-efficiency-angle three-dimensional data model at three speeds n1, n2, and n3. However, it can be understood that in other embodiments, the speed-flow-efficiency-angle four-dimensional array can integrate four or more flow-efficiency-angle three-dimensional data models at different speeds. According to the speed-flow-efficiency-angle four-dimensional array, the operating efficiency corresponding to different speeds can be obtained under the conditions of determining the required flow and angle.

[0073] S5. According to the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array, establish the speed-angle-efficiency three-dimensional curve of the axial flow compressor at the required flow and pressure ratio, and obtain the high-efficiency point.

[0074] Specifically, the three-dimensional curve of speed-angle-efficiency is as follows: Fig.14 As shown. Among them, the speed and angle corresponding to each point on the speed-angle-efficiency three-dimensional curve can make the axial flow compressor meet the required flow rate and pressure ratio when working. The highest point of the speed-angle-efficiency three-dimensional curve (i.e. Fig.15 The highest point of the projection on the speed-efficiency coordinate plane shown, or Fig.16 The highest point of the projection on the angle-efficiency coordinate plane shown in the figure is the high efficiency point, and the speed and angle corresponding to this point (i.e. Fig.17The speed and angle corresponding to the projection of the high-efficiency point on the speed-angle coordinate plane shown can not only meet the required flow and pressure ratio, but also have the highest operating efficiency.

[0075] It is understandable that the performance data sheet of the axial compressor can be obtained from the technical specification of the axial compressor. The performance data sheet of the axial compressor contains at least five dimensions of data, namely flow, speed, angle, pressure ratio and efficiency. The remaining parameters, such as power, torque, etc., can be calculated through flow, speed, angle, pressure ratio, efficiency, etc.

[0076] The axial flow compressor performance parameter prediction method of this embodiment establishes a speed-flow-pressure ratio-angle four-dimensional array and a speed-flow-efficiency-angle four-dimensional array according to the axial flow compressor performance data table; then, according to the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array, obtains the speed-angle-efficiency three-dimensional curve under the required flow and pressure ratio conditions, and obtains the high-efficiency point. The axial flow compressor performance parameter prediction method of this embodiment is highly flexible and can make real-time predictions of the corresponding speed, angle, and efficiency according to the required flow and pressure ratio working conditions input by the user without relying on a fixed data table. The axial flow compressor performance parameter prediction method of this embodiment is highly accurate. By establishing a data model, it can more accurately predict the performance parameters of the axial flow compressor under given working conditions. The axial flow compressor performance parameter prediction method of this embodiment is highly scalable and is not only suitable for large axial flow compressors, but can also be extended to the performance prediction of other types of compressors.

[0077] Figure 2 A schematic diagram of a second method for predicting performance parameters of an axial compressor provided in this embodiment. Figure 2 As shown, the axial compressor performance parameter prediction method also includes:

[0078] S6. Perform data increment processing on the axial flow compressor performance data table according to the operating data of the axial flow compressor.

[0079] It can be understood that the operating data of the axial flow compressor of this embodiment includes flow rate, pressure ratio, rotation speed, angle and efficiency.

[0080] This embodiment integrates the actual operating data of the axial compressor into the axial compressor performance data table, and performs regular data increment processing according to the operating history of the axial compressor and the performance parameter change trend, so that the axial compressor performance data table can be closer to the actual working conditions, and thus the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array can better adapt to the actual performance of the axial compressor, which is beneficial to improving the accuracy of the prediction of the performance parameters of the axial compressor.

[0081] Figure 3 A schematic diagram of a flow chart of a third method for predicting performance parameters of an axial flow compressor provided in this embodiment. Figure 3 As shown, S1. According to the axial compressor performance data table, a flow-pressure ratio-angle three-dimensional data model of the axial compressor at a speed n1 is established; including:

[0082] S11. Obtaining the corresponding relationship between the flow rate and the pressure ratio of the axial flow compressor at the speed n1 and the angle ω1;

[0083] Specifically, Figure 8 As shown, at the speed n1 and the angle ω1, different values ​​of flow rate Q correspond to different values ​​of pressure ratio ε.

[0084] S12. By interpolation, a two-dimensional flow-pressure ratio curve is formed at a speed n1 and an angle ω1;

[0085] Specifically, interpolation is a mathematical method used to interpolate continuous functions based on discrete data to form a continuous curve, so that this continuous curve passes through all given discrete data points. The flow-pressure ratio two-dimensional curve at angle ω1 of this embodiment is as follows: Figure 8 as shown in .

[0086] S13. Obtaining a two-dimensional flow-pressure ratio curve of the axial compressor at different angles at a speed n1;

[0087] Specifically, Figure 8 The figure shows the corresponding flow-pressure ratio two-dimensional curves at angles ω1, ω2, ω3, ω4, ω5, and ω6 at the speed n1. Figure 8 It can be seen that at the same speed, when different blade angles are used, the relationship curve between flow rate and pressure ratio is different.

[0088] S14. The two-dimensional flow-pressure ratio curves at different angles are fitted with data to form a three-dimensional data model of flow-pressure ratio-angle at the rotation speed n1.

[0089] Specifically, Fig. 9 As shown, in this embodiment, the flow-pressure ratio two-dimensional curves of angle ω1, angle ω2, angle ω3, angle ω4, angle ω5, and angle ω6 are fitted with data to form a flow-pressure ratio-angle three-dimensional data model at a rotation speed n1. According to the flow-pressure ratio-angle three-dimensional data model at n1, the blade angle required at a rotation speed of n1 under certain flow and pressure ratio conditions can be obtained.

[0090] Figure 4 A schematic diagram of a fourth method for predicting performance parameters of an axial compressor provided in this embodiment. Figure 4As shown, S2. Obtain the flow-pressure ratio-angle three-dimensional data model of the axial compressor at different speeds to establish a speed-flow-pressure ratio-angle four-dimensional array; including:

[0091] S21. Obtaining a flow-pressure ratio-angle three-dimensional data model of an axial compressor at different speeds;

[0092] Specifically, Fig.10 As shown, this embodiment obtains the flow-pressure ratio-angle three-dimensional data models at n1, n2, and n3 speeds respectively. However, it can be understood that in other embodiments, the flow-pressure ratio-angle three-dimensional data models at more speeds can be obtained to cover all speeds of the axial compressor.

[0093] S22. Integrate the flow-pressure ratio-angle three-dimensional data models at different speeds to form a speed-flow-pressure ratio-angle four-dimensional array.

[0094] Specifically, Fig.10 As shown in the figure, the flow-pressure ratio-angle three-dimensional data model at the speeds of n1, n2, and n3 is integrated into a flow-pressure ratio-angle three-dimensional coordinate system to form a speed-flow-pressure ratio-angle four-dimensional array. Through the speed-flow-pressure ratio-angle four-dimensional array, the blade angle required at different speeds under certain flow and pressure ratio conditions can be obtained.

[0095] For example, the required flow rate of the axial compressor is Q1 and the pressure ratio is ε1:

[0096] When the speed is n1, the required blade angle is ω1;

[0097] When the speed is n2, the required blade angle is ω2;

[0098] When the speed is n3, the required blade angle is ω3.

[0099] Figure 5 A schematic diagram of a fifth method for predicting performance parameters of an axial compressor provided in this embodiment. Figure 5 As shown, S3. According to the axial compressor performance data table, a flow-efficiency-angle three-dimensional data model of the axial compressor at a speed n1 is established; including:

[0100] S31. Obtaining the corresponding relationship between flow rate and efficiency of the axial flow compressor at a speed of n1 and an angle of ω1;

[0101] Specifically, Fig.11 As shown, at the speed n1 and the angle ω1, different values ​​of flow rate Q correspond to different values ​​of efficiency η.

[0102] S32. By interpolation, a flow-efficiency two-dimensional curve is formed at a speed n1 and an angle ω1;

[0103] Specifically, interpolation is a mathematical method used to interpolate continuous functions based on discrete data to form a continuous curve, so that this continuous curve passes through all given discrete data points. The flow-pressure ratio two-dimensional curve at angle ω1 of this embodiment is as follows: Fig.11 as shown in .

[0104] S33. Obtaining the flow-efficiency two-dimensional curve of the axial compressor at different angles at a speed of n1;

[0105] Specifically, Fig.11 The figure shows the flow-efficiency two-dimensional curves corresponding to angles ω1, ω2, ω3, ω4, ω5, and ω6 at the speed n1. Fig.11 It can be seen that at the same speed, when different blade angles are used, the relationship curve between flow rate and efficiency is different.

[0106] S34. The two-dimensional flow-efficiency curves at different angles are fitted with data to form a three-dimensional data model of flow-efficiency-angle at the rotation speed n1.

[0107] Specifically, Fig.12 As shown, in this embodiment, the flow-efficiency two-dimensional curves of angle ω1, angle ω2, angle ω3, angle ω4, angle ω5, and angle ω6 are fitted with data to form a flow-efficiency-angle three-dimensional data model at a rotation speed n1. According to the flow-efficiency-angle three-dimensional data model at n1, the operating efficiency at a rotation speed of n1 under the conditions of a certain flow and angle can be obtained.

[0108] Figure 6 A schematic diagram of a sixth method for predicting performance parameters of an axial flow compressor provided in this embodiment. Figure 6 As shown, S4. Obtain the flow-efficiency-angle three-dimensional data model of the axial compressor at different speeds to establish a speed-flow-efficiency-angle four-dimensional array; including:

[0109] S41. Obtaining the flow-efficiency-angle three-dimensional data model of the axial compressor at different speeds;

[0110] Specific, concrete, such as Fig.13 As shown, this embodiment obtains the flow-efficiency-angle three-dimensional data models at n1, n2, and n3 speeds, respectively. However, it is understandable that in other embodiments, the flow-efficiency-angle three-dimensional data models at more speeds can be obtained to cover all speeds of the axial compressor.

[0111] S42. Integrate the flow-efficiency-angle three-dimensional data models at different rotation speeds to form a rotation speed-flow-efficiency-angle four-dimensional array.

[0112] Specifically, Fig.13 As shown in the figure, the flow-efficiency-angle three-dimensional data model under the speeds of n1, n2, and n3 is integrated into a flow-efficiency-angle three-dimensional coordinate system to form a speed-flow-efficiency-angle four-dimensional array. Through the speed-flow-efficiency-angle four-dimensional array, the operating efficiency at different speeds under certain flow and angle conditions can be obtained.

[0113] For example, the required flow rate of the axial compressor is Q1 and the pressure ratio is ε1:

[0114] ① If the blade angle is ω1 when the speed is n1, the above axial compressor operating conditions can be met; refer to Fig.13 , we can obtain the efficiency η1 when the speed is n1, the flow rate is Q1 and the angle is ω1.

[0115] ② If the blade angle is ω2 when the speed is n2, the above axial compressor operating conditions can be met; refer to Fig.13 , we can obtain the efficiency η2 when the speed is n2, the flow rate is Q1, and the angle is ω2.

[0116] ③ If the speed is n3, the blade angle is ω3, then the above axial compressor operating conditions can be met; refer to Fig.13 , we can obtain the efficiency η3 when the speed is n3, the flow rate is Q1 and the angle is ω3.

[0117] Figure 7 A schematic diagram of a seventh method for predicting performance parameters of an axial flow compressor provided in this embodiment. Figure 7 As shown, S5. According to the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array, a speed-flow-efficiency-angle three-dimensional curve of the axial flow compressor at the required flow rate and pressure ratio is established, and the high efficiency point is obtained; including:

[0118] S51. According to the speed-flow-pressure ratio-angle four-dimensional array, obtain the angle required for each speed under the conditions of the required flow and pressure ratio;

[0119] Specifically, the four-dimensional array of speed-flow-pressure ratio-angle is as follows Fig.10 See Fig.10 , assuming that the required flow rate of the axial compressor is Q1 and the pressure ratio is ε1. When the speed is n1, the required blade angle is ω1; when the speed is n2, the required blade angle is ω2; when the speed is n3, the required blade angle is ω3.

[0120] S52. According to the four-dimensional array of speed-flow-efficiency-angle, obtain the corresponding efficiency when the required flow and the required angle are met at each speed;

[0121] Specifically, the required flow rate for the axial compressor is Q1, and the pressure ratio is ε1. And,

[0122] When the speed is n1, the blade angle is ω1, which satisfies the above-mentioned axial compressor operating conditions;

[0123] When the speed is n2, the blade angle is ω2, which satisfies the above-mentioned axial compressor operating conditions;

[0124] When the speed is n3, the blade angle is ω3, which satisfies the above-mentioned axial compressor operating conditions;

[0125] Based on the above operating parameters, it can be known that when the above axial flow compressor operating conditions are met, the operating parameters of the axial flow compressor are:

[0126] The flow rate is Q1, the speed is n1, and the angle is ω1; or,

[0127] The flow rate is Q1, the speed is n2, and the angle is ω2; or,

[0128] The flow rate is Q1, the rotation speed is n3, and the angle is ω3.

[0129] The four-dimensional array of speed-flow-efficiency-angle is as follows Fig.13 See Fig.13 , the speed-flow-efficiency-angle four-dimensional array can be obtained:

[0130] When the flow rate is Q1, the speed is n1, and the angle is ω1, the efficiency value is η1;

[0131] When the flow rate is Q1, the speed is n2, and the angle is ω2, the efficiency value is η2;

[0132] When the flow rate is Q1, the speed is n3, and the angle is ω3, the efficiency value is η3.

[0133] S53 forms a three-dimensional curve of speed-angle-efficiency through interpolation;

[0134] Specifically, a three-dimensional coordinate system of speed-angle-efficiency is established, and the coordinate points (n1, ω1, η1), (n2, ω2, η2), and (n3, ω3, η3) are connected by interpolation to form a three-dimensional curve of speed-angle-efficiency, such as Fig.14 shown.

[0135] S54 obtains the highest point of the three-dimensional curve, which is the high efficiency point.

[0136] Specifically, the projection of the speed-angle-efficiency three-dimensional curve on the speed-efficiency coordinate plane is as follows: Fig.15 As shown, the highest point is the efficient point; or,

[0137] The projection of the three-dimensional curve of speed-angle-efficiency on the angle-efficiency coordinate plane is as follows: Fig.16 As shown, the highest point is the efficient point.

[0138] The projection of the high efficiency point of the speed-angle-efficiency three-dimensional curve on the speed-angle coordinate plane is as follows: Fig.17 As shown, the speed and angle corresponding to this point are the highest efficiency point of the axial flow compressor under the premise of meeting the operating conditions.

[0139] In a second aspect, this embodiment provides a device for predicting performance parameters of an axial compressor. Fig.18 Schematic diagram of the structure of the axial flow compressor performance parameter prediction device of this embodiment.

[0140] like Fig.18 As shown, the axial flow compressor performance parameter prediction device of this embodiment includes:

[0141] Input module, used to input the required flow rate and pressure ratio;

[0142] A generation module, for generating a speed-angle-efficiency three-dimensional curve according to a speed-flow-pressure ratio-angle four-dimensional array, a speed-flow-efficiency-angle four-dimensional array, and required flow and pressure ratio;

[0143] Output module, used to output speed-angle-efficiency three-dimensional curve and high efficiency point.

[0144] The axial flow compressor performance parameter prediction device of this embodiment includes an input module, a generation module and an output module. The input module is used to input the required flow rate and pressure ratio, and can also be used to input the axial flow compressor performance data table. The input module can use input methods such as data interface input, keyboard input or touch screen input.

[0145] The generation module receives and stores the axial compressor performance data table, and generates a speed-flow-pressure ratio-angle four-dimensional array and a speed-flow-efficiency-angle four-dimensional array according to the axial compressor performance data table. After that, the required flow rate and pressure ratio are input through the input module, and the generation module can generate a speed-angle-efficiency three-dimensional curve according to the speed-flow-pressure ratio-angle four-dimensional array, the speed-flow-efficiency-angle four-dimensional array and the required flow rate and pressure ratio.

[0146] The output module is used to output the speed-angle-efficiency three-dimensional curve and the high-efficiency point, and give the speed and angle parameters corresponding to the high-efficiency point. The output module can be a display screen.

[0147] The generation module of this embodiment is also used to perform data increment processing on the axial compressor performance data table according to the actual operating parameter data of the axial compressor. By integrating the actual operating data of the axial compressor into the axial compressor performance data table, and performing regular data increment processing according to the operating history and performance parameter change trend of the axial compressor, the axial compressor performance data table can be closer to the actual working conditions, and then the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array can be better adapted to the actual performance of the axial compressor, which is conducive to improving the accuracy of the prediction of the performance parameters of the axial compressor.

[0148] In a third aspect, this embodiment provides a storage medium on which a computer program is stored, and the computer program implements the above method when executed by a processor.

[0149] It can be understood that the technical solution of this embodiment can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of this application.

[0150] In a fourth aspect, this embodiment provides a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the above method is implemented when the processor executes the computer program.

[0151] It is understandable that the computer device of this embodiment may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display screen (Display), an input unit such as a keyboard (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a Bluetooth interface, a WI-FI interface), etc.

[0152] Those skilled in the art will appreciate that the computer device structure provided in this embodiment does not limit the computer device, and may include more or fewer components, or a combination of certain components, or different component arrangements.

[0153] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages and saves the hardware and software resources of the computer device, and supports the operation of information processing programs and other software and / or programs. The network communication module is used to realize communication between the components inside the storage medium, and communication with other hardware and software in the physical device.

[0154] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform, or by receiving an axial flow compressor performance data table through hardware implementation, and then using software to generate a speed-flow-pressure ratio-angle four-dimensional array and a speed-flow-efficiency-angle four-dimensional array based on the axial flow compressor performance data table. After that, the required flow rate and pressure ratio are input, and a speed-angle-efficiency three-dimensional curve can be generated based on the speed-flow-pressure ratio-angle four-dimensional array, the speed-flow-efficiency-angle four-dimensional array, and the required flow rate and pressure ratio.

[0155] This embodiment combines digital means to develop a new axial flow compressor performance parameter prediction method and device, storage medium, and equipment. According to the axial flow compressor performance data table, a data model, regular data increments, and data fitting algorithms are established to predict the compressor performance, which significantly improves the prediction flexibility and accuracy.

[0156] It is easy for those skilled in the art to understand that, under the premise of no conflict, the above-mentioned advantageous methods can be freely combined and superimposed.

[0157] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention. The above are only preferred embodiments of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and variations can be made without departing from the technical principles of the present invention, and these improvements and variations should also be regarded as the protection scope of the present invention.

Claims

1. A method for predicting performance parameters of an axial flow compressor, characterized in that: The method comprises the following steps: According to the axial flow compressor performance data table, a flow rate-pressure ratio-angle three-dimensional data model of the axial flow compressor at a speed n1 is established; Acquire a flow-pressure ratio-angle three-dimensional data model of the axial compressor at different speeds to establish a speed-flow-pressure ratio-angle four-dimensional array; According to the axial flow compressor performance data table, a flow-efficiency-angle three-dimensional data model of the axial flow compressor at a rotation speed n1 is established; Acquire a flow-efficiency-angle three-dimensional data model of the axial compressor at different speeds to establish a speed-flow-efficiency-angle four-dimensional array; According to the speed-flow-pressure ratio-angle four-dimensional array and the speed-flow-efficiency-angle four-dimensional array, a speed-angle-efficiency three-dimensional curve of the axial flow compressor at the required flow and pressure ratio is established, and the high-efficiency point is obtained.

2. The method for predicting the performance parameters of an axial flow compressor according to claim 1, characterized in that: The method further comprises: According to the operating data of the axial flow compressor, data increment processing is performed on the axial flow compressor performance data table.

3. The method for predicting performance parameters of an axial flow compressor according to claim 1, characterized in that: According to the axial flow compressor performance data table, a flow-pressure ratio-angle three-dimensional data model of the axial flow compressor at a speed n1 is established; including: Obtaining the corresponding relationship between the flow rate and the pressure ratio of the axial flow compressor at the speed n1 and the angle ω1; Through the interpolation method, a two-dimensional flow-pressure ratio curve is formed at the speed n1 and the angle ω1; Obtaining a flow-pressure ratio two-dimensional curve of the axial flow compressor at different angles at a rotation speed n1; The flow-pressure ratio two-dimensional curves at different angles are fitted with data to form a flow-pressure ratio-angle three-dimensional data model at the rotation speed n1.

4. The method for predicting performance parameters of an axial flow compressor according to claim 1, characterized in that: The method of obtaining the flow-pressure ratio-angle three-dimensional data model of the axial compressor at different speeds to establish a four-dimensional array of speed-flow-pressure ratio-angle comprises: Acquire a flow-pressure ratio-angle three-dimensional data model of the axial flow compressor at different speeds; The flow-pressure ratio-angle three-dimensional data model at different rotation speeds is integrated to form the rotation speed-flow-pressure ratio-angle four-dimensional array.

5. The method for predicting performance parameters of an axial flow compressor according to claim 1, characterized in that: The method of establishing a flow-efficiency-angle three-dimensional data model of the axial flow compressor at a speed n1 according to the axial flow compressor performance data table comprises: Obtaining the corresponding relationship between the flow rate and the efficiency of the axial flow compressor at a speed of n1 and an angle of ω1; Through interpolation, a two-dimensional flow-efficiency curve is formed at the speed n1 and angle ω1; Obtaining a flow-efficiency two-dimensional curve of the axial flow compressor at different angles at a speed of n1; The flow-efficiency two-dimensional curves at different angles are fitted with data to form a flow-efficiency-angle three-dimensional data model at the rotation speed n1.

6. The method for predicting performance parameters of an axial flow compressor according to claim 1, characterized in that: The method of obtaining the flow-efficiency-angle three-dimensional data model of the axial compressor at different speeds to establish a four-dimensional array of speed-flow-efficiency-angle comprises: Acquire a flow-efficiency-angle three-dimensional data model of the axial compressor at different rotation speeds; The flow-efficiency-angle three-dimensional data models at different rotational speeds are integrated to form the rotational speed-flow-efficiency-angle four-dimensional array.

7. The method for predicting performance parameters of an axial flow compressor according to claim 1, characterized in that: The method of establishing a three-dimensional curve of speed-angle-efficiency of the axial flow compressor at a required flow rate and pressure ratio according to the four-dimensional array of speed-flow-pressure ratio-angle and the four-dimensional array of speed-flow-efficiency-angle, and obtaining a high-efficiency point, comprises: According to the rotation speed-flow-pressure ratio-angle four-dimensional array, the angle required for each rotation speed to meet the required flow rate and pressure ratio conditions is obtained; According to the four-dimensional array of speed-flow-efficiency-angle, the efficiency corresponding to the required flow and angle is obtained at each speed; Through interpolation, a three-dimensional curve of speed-angle-efficiency is formed; Get the highest point of the three-dimensional curve, which is the efficient point.

8. A device for predicting performance parameters of an axial compressor, characterized in that: include: Input module, used to input the required flow rate and pressure ratio; A generation module, for generating a speed-angle-efficiency three-dimensional curve according to a speed-flow-pressure ratio-angle four-dimensional array, a speed-flow-efficiency-angle four-dimensional array, and required flow and pressure ratio; The output module is used to output the rotation speed-angle-efficiency three-dimensional curve and the high efficiency point.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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